The study focuses on an implementation gap created where two systems meet: informal social regulation and state governance. Its analysis considers caste and kinship authority, patriarchal control over women’s sexuality, community sanctions, police discretion, prosecutorial framing, evidentiary practices and uneven accountability. Rather than treating honour killings and honour-based violence solely as products of tradition, the research places them within an integrated “governance chain” that examines how institutional decisions affect a case at each stage.

Across the sampled cases, several points of breakdown appeared repeatedly. The study identifies delayed or strategic non-registration, mediation that returned women to coercive families, and misclassification of deaths as suicide or accident. It also records weak witness protection and instances in which counter-cases criminalised survivors or their partners. Because the research is based on a purposive, stratified sample and supplementary official records, its case map documents patterns within the selected material rather than estimating national prevalence or proving that every failure occurred in the same way.

The results also distinguish social change from a simple linear shift in safety. The paper reports that education, increased mobility and digital intimacy can weaken the monopoly of community control over relationships, but the same changes can provoke backlash and “spectacular” violence. These observations concern associations and mechanisms proposed by the study; they do not establish that any one of education, mobility or digital intimacy causes violence. Likewise, the constitutional protections and judicial condemnations discussed by the authors are not presented as evidence that formal safeguards have produced consistent practical protection.

The authors conclude with three policy outputs: an honour-based-violence governance scorecard, a standardised case-tracking protocol, and an accountability framework for coordinating prevention, protection and prosecution. The study does not test the effectiveness of these proposed measures through a clinical trial or other outcome evaluation, so their likely impact remains unmeasured. Its principal contribution is instead a structured diagnosis of where the response system broke down in the 31 cases examined and a set of tools intended to make those stages more visible and accountable.

Subject of Research: Socio-legal analysis of honour-based violence and governance failures in India

Article Title: Rights on paper, control on the ground: honour killings, social change, and the implementation gap in India

Article References: Alam, M. M. (2026). Rights on paper, control on the ground: honour killings, social change, and the implementation gap in India. SN Social Sciences, 6(11), Article 566. https://doi.org/10.1007/s43545-026-01816-8

Image Credits: AI Generated

DOI: 10.1007/s43545-026-01816-8

Keywords: honour-based violence, India, honour killings, gender-based violence, police accountability, legal implementation, social change, socio-legal research, Rights, paper, control, ground

Its reported outcomes included carbon-emission intensity, industrial sulfur dioxide intensity, PM2.5 levels, industrial wastewater discharge and the overall utilization of industrial solid waste. According to the researchers, emissions trading participation decreased the first four indicators and increased the utilization measure. The supplied study abstract does not specify the number of cities, the study period or the precise definition and measurement of the industrial solid-waste indicator.

Scheme participation increased the index by 0.034, representing an improvement of approximately 3.9% relative to the sample mean. The model also estimated a 0.040 decline in the logarithm of carbon-emission intensity, which the authors describe as corresponding to roughly a 3.9% reduction in carbon intensity. These are model-based estimates from the city-level analysis, not measurements of changes in China’s total national emissions.

Researchers tested the stability of the benchmark results with endogeneity tests and a series of robustness checks. Their mechanism analysis identified three routes through which the scheme could strengthen coordination between carbon reduction and pollution control: dual-pillar policy synergy, resource allocation using data elements, and convergence in differences in green technology. The analysis links the estimated broader effect to these mechanisms without claiming that every participating city or every pollutant responds in the same way.

The results also varied across urban settings. The emissions trading scheme had a stronger synergistic effect in resource-rich and energy-supplying cities. Its contribution to improving coordination between carbon and pollution reduction also differed with the level of marketization, indicating heterogeneity rather than a uniform response across cities.

Although the study supports the conclusion that full-process control can help emissions trading promote combined reductions in carbon emissions and pollution, the abstract does not provide uncertainty intervals for the headline estimates or enough methodological detail to assess how widely the findings can be generalized.

Subject of Research: Effects of emissions trading on coordinated carbon and pollution reduction in Chinese cities

Article Title: Full-process control enables emissions trading to promote synergistic reductions in carbon emissions and pollution in China

Article References: Ma, G., Ge, L., & Xie, X. (2026). Full-process control enables emissions trading to promote synergistic reductions in carbon emissions and pollution in China. Discover Sustainability. https://doi.org/10.1007/s43621-026-04769-3

Image Credits: AI Generated

DOI: 10.1007/s43621-026-04769-3

Keywords: emissions trading, carbon intensity, air pollution, sulfur dioxide, PM2.5, industrial wastewater, industrial solid waste, green technology, Chinese cities, environmental policy, Full-process, control

The investigation identified 492 confirmed COVID-19 cases during the outbreak, which ran from January to March 2022. Of these, 474 were inmates and 18 were staff members. Laboratory and epidemiologic data indicated that the Omicron variant was the predominant strain responsible. The cumulative attack rate among the facility’s 1,977 inmates reached 24.0 percent, meaning nearly one in four people in custody was infected over the course of the outbreak. Five inmates required hospitalization, but no deaths were reported — an outcome the investigators attribute in part to the relatively low severity of Omicron infections combined with the protective effect of vaccination.

What makes this study particularly valuable to viral outbreak science is its spatiotemporal granularity. Rather than treating the detention center as a single unit, the researchers mapped cases at the building and floor levels, revealing how transmission clustered in specific wards. The highest ward-level attack rate occurred on the 7th floor of Building 4, where the proportion of infected residents climbed from 54.7 percent (29 of 53) at the start of the outbreak to 88.7 percent (47 of 53) by its end. This pattern — a single floor nearly saturated with infection while other areas remained relatively spared — illustrates how respiratory viruses exploit crowding and shared environments in vertical facilities.

Epidemiologic reconstruction, supported by supplementary transmission-dynamics schematics, traces the probable primary Omicron case to the 12th floor of Building 3 on January 22, 2022 — designated Day 1 of the outbreak timeline. That individual was subsequently relocated to the 7th floor of Building 4, from which additional transmission cases emerged. Two epidemiologically linked Delta cases were identified on the 11th floor of Building 4 on Day 4, indicating that more than one variant circulated within the facility. The investigators used documented inmate movements, inferred horizontal transmission within the same floor, inferred inter-floor transmission within the same building, and contact opportunities identified through person-based investigation to build the most plausible reconstruction of how the virus spread — while cautioning that these pathways represent epidemiologic inference rather than phylogenetically confirmed transmission chains.

Beyond mapping the outbreak’s geography, the study offers a rare quantitative estimate of vaccine effectiveness in a detention setting. Using a modified Poisson regression adjusted for sex, age, prior infection, and proximity to confirmed cases, the researchers found that receipt of a booster dose was associated with an adjusted vaccine effectiveness against infection of 23.5 percent (95 percent confidence interval, 3.8 to 39.1 percent) compared with no vaccination. While this figure is modest — reflecting both the real-world challenge of preventing Omicron infection and the constraints of an exploratory analysis — it still suggests that boosters provided some measurable protection in a population where physical distancing was impossible.

The control strategy that ultimately contained the outbreak was not a single measure but a layered combination of interventions. Investigators documented modified lockdowns, contact tracing, mass and targeted testing, and de-densification of housing units as the principal tools deployed. Together, these measures helped bring the outbreak under control within approximately one month of its onset. The speed of the response matters: in a facility where the basic reproduction number of Omicron is amplified by crowding, delaying even a few days can allow the virus to seed multiple floors before controls take hold.

The findings carry weight beyond this single facility. Correctional settings worldwide share the structural vulnerabilities documented here — crowding, shared spaces, limited isolation capacity, and frequent population movement — yet evidence from high-rise detention facilities has been sparse. By quantifying attack rates at the ward level and estimating vaccine effectiveness in a real-world outbreak, the study fills a gap in the literature on respiratory virus control in confinement. It also demonstrates that even in environments where individual behavior change is constrained, institutional interventions can meaningfully alter transmission dynamics.

Methodologically, the investigation drew on demographic, clinical, and vaccination data obtained from interviews, detention records, and national registries. The researchers estimated attack rates at both the floor and building levels, then used exploratory vaccine effectiveness modeling to assess whether booster vaccination modified infection risk. The study was reviewed and approved by the Institutional Review Board of the Korea Disease Control and Prevention Agency, with the requirement for written informed consent waived because the retrospective analysis used anonymized and de-identified records. The authors declare no competing interests, and the research received no specific grant from any funding agency.

For outbreak scientists and public health officials, the Seoul detention center investigation offers a concrete template. It shows that in vertical confinement facilities, crowding and shared environments can accelerate SARS-CoV-2 spread to the point where individual wards approach saturation. But it also demonstrates that early, intensive, multi-layered interventions — modified lockdowns, contact tracing, mass and targeted testing, de-densification, and booster vaccination — can substantially reduce within-facility transmission and severe outcomes. As respiratory virus threats continue to evolve, the lessons from this outbreak will remain relevant to any institution that must balance security, crowding, and infection control.

Subject of Research: Spatiotemporal transmission and control of a COVID-19 outbreak in a high-rise detention center in Seoul, South Korea

Article Title: Spatiotemporal transmission and control of a COVID-19 outbreak in a high-rise detention center, South Korea: a retrospective outbreak investigation

Article References: Lee, S., Kim, D., Yi, S., Choi, S., Park, E., Kim, M., & Song, J. S. (2026). Spatiotemporal transmission and control of a COVID-19 outbreak in a high-rise detention center, South Korea: a retrospective outbreak investigation. BMC Infectious Diseases. https://doi.org/10.1186/s12879-026-14388-y

Image Credits: AI Generated

DOI: 10.1186/s12879-026-14388-y

Keywords: COVID-19, Omicron variant, detention center, outbreak investigation, vaccine effectiveness, SARS-CoV-2, South Korea, public health, Spatiotemporal, transmission, control, outbreak

The review, which compiled 67 observation points for methane and 13 for nitrous oxide from peer-reviewed studies across Sumatra, Java, Bali, Kalimantan and Sulawesi, found average emissions of 288.9 kilograms of methane per hectare per season and 0.71 kilograms of nitrous oxide per hectare per season. Those averages are notably higher than the emission factors previously used to estimate Indonesia’s paddy footprint, which stood at 160.9 kilograms of methane and 0.297 kilograms of nitrous oxide per hectare per season. The gap matters: national inventories built on the older factors may be undercounting the climate cost of the country’s most important staple crop.

When the authors grouped the methane data by soil type and compared the distributions with Box and Whisker plots, backed by F-tests of the means, a striking hierarchy emerged. Continuously flooded paddies on the alluvial soils of Kalimantan and Sulawesi topped the list with a mean of 1,062 kilograms of methane per hectare per season, followed by the Andisols of Java at 505, the Ultisols of Sumatra at 446, the Alfisols of Java and Bali at 135, and the Inceptisols of Java and Bali at just 64 kilograms per hectare per season. The median lines of most soil-type datasets fell outside the boxes of the others, a statistical signal that the differences between soil groups are real rather than noise.

The extreme methane flux from alluvial paddies in South Kalimantan carries a warning that goes beyond soil classification. The Barito River, which irrigates many of those fields, is heavily polluted: in 2013 alone it carried an estimated 94.8 tonnes of biological oxygen demand, 121.5 tonnes of chemical oxygen demand and 51.34 tonnes of total suspended solids per day, much of it from coal mining, industry and microplastics. Polluted water carries more degradable organic carbon, and the more polluted the river, the higher the methane emissions from the water it delivers to the fields. In effect, industrial contamination upstream is being converted into greenhouse gas downstream, one flooded paddy at a time.

Soil chemistry explains much of the rest of the pattern. Andisols have remarkably low bulk density, measured between 0.32 and 0.76 grams per cubic centimeter in Java’s topsoil, compared with 1.23 for Alfisols. Lighter, more porous soils let methane escape more easily, which is why a Java Andisol trial with only 3 tonnes per hectare of farmyard manure emitted 513 kilograms of methane per hectare per season, while an Alfisol trial with 7.5 tonnes of the same amendment emitted just 342. Ultisols, rich in iron and manganese oxides, follow a different route: as flooding drives redox potential below 150 millivolts, microbes strip electrons from Fe3+ and Mn4+ before finally reducing CO2 to methane, making those electron acceptors stepping stones on the path to methanogenesis.

Management practice, however, is the principal driver. The dataset showed that the combination of rice straw and chemical fertiliser produced the highest and most dispersed methane emissions, significantly different from straw alone, granular compound fertiliser alone or untreated controls. Incorporating 6 to 9 tonnes of rice straw per hectare can raise methane emissions 1.8 to 3.5 times, and the interaction of organic amendments with synthetic fertiliser appears to supercharge the anaerobic decomposition that feeds methanogenic bacteria. Nitrous oxide tells a different story: the calculated fertiliser-induced emission factor for West Java paddies averaged just 0.37%, or 0.69 kilograms per hectare per season, in line with figures from China and India at 0.39% and 0.13% respectively. Roughly 70% of nitrous oxide from paddies is the product of nitrifier and denitrifier microbes, and rice roots modulate the flux by leaking oxygen that shifts redox status around the rhizosphere.

The proposed fix is biochar. Pyrolyzing rice straw and rice husk, the two great by-products of the harvest, in low-oxygen conditions yields rice straw biochar and rice husk biochar at 30 to 75% of dry weight, depending on temperature. Field trials compiled in the review show the material works: 22.5 tonnes of rice straw biochar per hectare cut methane emissions by 47.3 to 86.4% compared with fields receiving 6 tonnes of raw straw, while 2.5% biochar by soil weight reduced emissions by as much as 91.2% in one study. Rice husk biochar at 2% and 4% by soil weight reduced methane by 45.2 and 54.9% respectively. The mechanism is twofold: biochar suppresses methanogenic activity while boosting methanotrophic proteobacteria that consume methane, and its recalcitrant carbon stores roughly 50% of the biomass carbon in the soil for years, sequestering far more than compost, which retains only 10 to 20% of biomass carbon after 5 to 10 years. Nitrous oxide falls too, because biochar inhibits nitrification and denitrification and immobilises available nitrogen, with reductions of up to 73.1% reported at high application rates.

Scaling that promise to a national policy, however, collides with hard arithmetic. Indonesia’s paddies produce an estimated 68.31 million tonnes of rice straw and 15.30 million tonnes of rice husk per year. Pyrolyzed at 400 degrees Celsius, the median temperature for good biochar characteristics, that would yield 28.09 million tonnes of rice straw biochar and 6.44 million tonnes of rice husk biochar annually if every gram were converted. But farmers already sell or use 31 to 39% of straw and husk as animal feed, mushroom substrate and ornamental plant media, and another 7 to 16% goes to industry and bioenergy. Only about 60% is realistically available as biochar feedstock, which works out to just 2.78 tonnes of biochar per hectare per year across the national paddy area, far below the 20 to 40 tonnes per hectare that trials suggest is needed for effective emission control.

There is a further irony buried in the pyrolysis reactor itself. Heating biomass to 350 to 700 degrees Celsius releases synthesis gas containing carbon monoxide, hydrogen, carbon dioxide and methane, the last formed by degradation of methoxyl groups in lignin. Models of the pyrolysis system indicate that every kilogram of rice straw biochar produced at 400 degrees Celsius releases roughly 50 grams of methane. Producing the 16.85 million tonnes of straw biochar realistically available would therefore emit about 0.84 million tonnes of methane, with husk biochar adding another 0.06 million tonnes, for a total of roughly 0.9 million tonnes. Set against the estimated 3.08 million tonnes of methane that Indonesian paddies emit per year, biochar manufacturing would add nearly 30% of the annual paddy total before a single field benefit is secured, and the size of that benefit varies widely across the trial record.

The review’s authors argue the case is not closed. Biochar’s extraordinary stability against physical aging, chemical oxidation and microbial degradation means applications persist in the soil for years, and successive annual applications have proven better at reducing emissions than high one-off doses. That persistence could eventually close the gap between the 2.78 tonnes per hectare available from rice waste alone and the 20 tonnes or more that effective control demands. Farmers and policymakers could also widen the feedstock base to wood, manure, plant litter, urban waste and other lignocellulose-rich materials, while pushing pyrolysis technology toward low or zero-emission designs. Until then, the review stands as a sobering reality check: the climate solution growing in Indonesia’s rice fields is real, but it is not yet big enough to dig the country’s paddies out of their methane debt.

Subject of Research: Greenhouse gas emissions from Indonesian flooded paddy fields and the mitigation potential of rice biomass biochar

Article Title: CH 4 and N 2 O emissions and their potential control by rice biomass biochar: The case of continuously flooded paddy fields in Indonesia – A review

Article References: Hafif, B., Kartika, K., Randriani, E., Pitono, J., Gusmaini, G., Ridwan, R., & Nurida, N. (2024). CH4 and N2O emissions and their potential control by rice biomass biochar: The case of continuously flooded paddy fields in Indonesia – A review. One Ecosystem, 9, Article e109657. https://doi.org/10.3897/oneeco.9.e109657

Image Credits: AI Generated

DOI: 10.3897/oneeco.9.e109657

Keywords: emissions, potential, control, rice, biomass, biochar, case, continuously, flooded, paddy, fields, Indonesia

Writing in Frontiers in Pharmacology, Hilal Wehbi, Elodie Olivier, Isabelle Broutin and their colleagues report that PAβN is far less toxic to human cells than its reputation suggests, at least under the conditions of classical laboratory exposure. The finding matters because PAβN is not merely a curiosity. It is the control molecule in virtually every phenotypic evaluation of RND efflux pump inhibitors, and any imprecision in its use propagates through the entire drug development pipeline. The team therefore set out to define, with unprecedented precision, the concentration limits at which PAβN can be deployed as a microbiological adjuvant, the toxicity thresholds across four human cell models, and the atomic-resolution details of how the molecule actually interacts with its transporter target.

The microbiological work centred on three Pseudomonas aeruginosa PA14 strains: the wild type, a mutant lacking the mexAB genes that encode the constitutive MexAB-OprM pump, and a nalC mutant that overproduces the same pump. Using broth microdilution following EUCAST recommendations, the researchers measured minimum inhibitory concentrations of three clinically important β-lactams, aztreonam, ceftazidime and ticarcillin, in the presence and absence of PAβN. The overproducer strain showed elevated MICs for all three antibiotics, consistent with enhanced efflux, while the deletion mutant showed reduced MICs. Adding PAβN at 50 and 100 micrograms per millilitre lowered the MICs in the wild type and overproducer strains, with the strongest effects at 100 micrograms per millilitre, where aztreonam and ceftazidime MICs fell fourfold and ticarcillin fell eightfold in the overproducer. Crucially, no MIC reduction was observed in the deletion mutant, confirming that the effect is genuinely MexAB-OprM-associated rather than a nonspecific antibacterial action.

The envelope perturbation experiments drew an equally sharp line. PAβN alone caused no detectable growth perturbation at 100 micrograms per millilitre, but growth effects appeared at 200 micrograms per millilitre and marked inhibition between 400 and 800 micrograms per millilitre. Combined with the absence of MIC reduction in the pump-deleted strain, this indicates that the frontier between PAβN’s two faces, competitive substrate inhibition and membrane permeabilization, lies between 100 and 200 micrograms per millilitre. The authors recommend that future studies use two or three concentrations within the safe range and verify envelope integrity with RND-deleted strains, since Pseudomonas aeruginosa is less permeable than Escherichia coli and the threshold may differ across Gram-negative species.

The toxicology results were the most surprising. The team exposed four human cell lines, bronchial epithelial BEAS-2B, alveolar carcinoma A549, embryonic kidney HEK293 and hepatocellular carcinoma HepG2, to PAβN across a concentration range from 50 to 1000 micrograms per millilitre, using seven complementary endpoints: metabolic activity by Alamar Blue, membrane damage by lactate dehydrogenase release, cell counting, propidium iodide uptake, reactive oxygen species production, mitochondrial membrane potential by JC-1, intracellular ATP levels and caspase activities. Across all four models, PAβN displayed limited cytotoxicity, with most effects confined to the highest concentrations approaching or exceeding the millimolar range. In contrast, β-naphthylamine, the carcinogenic fragment that would be released if PAβN’s amide bond were hydrolysed, was markedly more toxic, causing rapid oxidative stress, mitochondrial depolarization, ATP depletion and membrane injury at substantially lower concentrations.

This differential toxicity points to the β-naphthylamide moiety as a potential contributor to PAβN toxicity, possibly resulting from metabolic proteolysis processing in vivo. The authors stress that PAβN stability and β-naphthylamine formation were not directly assessed under their experimental conditions, and that LC-MS analysis would be required to confirm the hypothesis. Nevertheless, the pattern is striking: PAβN cannot be considered biologically inert toward mammalian cells, but its effects are strongly cell-type and endpoint dependent, and the dissociation between metabolic activity and membrane integrity that they observed is consistent with the heterogeneous effects previously reported in mammalian models. The practical implication is that PAβN’s clinical toxicity, if it exists, may stem not from the intact molecule but from fragments generated by physiological processing.

The structural biology component of the study is where the work becomes truly revelatory. Only one structure of a RND transporter in complex with PAβN had ever been solved, the AcrB structure from E. coli published in 2005 at 3.64 angstrom resolution. But that structure was obtained in a crystallographic space group H32 in which the trimer is reconstituted by a crystallographic threefold axis, forcing the trimer to be artificially symmetric and preventing the conformational changes required for substrate efflux. PAβN was found close to the entry of the efflux pathway rather than in the deep binding cavity, raising questions about whether the observed position reflects genuine biology or crystallographic constraint. The Paris team therefore solved new structures of MexB, the transporter of the constitutively expressed MexAB-OprM pump from Pseudomonas aeruginosa, in complex with PAβN by both crystallography and cryo-electron microscopy.

The crystallographic structure, obtained by soaking native MexB crystals with PAβN at 1 to 2 millimolar, revealed the inhibitor in the Tight monomer at an intermediate position between the proximal and distal binding pockets, just before the switch-Loop. But a molecule of the detergent n-dodecyl-β-D-maltoside, used for solubilization, occupied the deep binding pocket where structurally characterized inhibitors are usually found, apparently blocking PAβN from entering. Repeated co-crystallization attempts always yielded the same DDM molecule in the deep pocket, suggesting that DDM is itself a good MexB substrate present from the earliest purification steps. To circumvent this problem, the team reconstituted MexB in lipidic nanodiscs with POPC and the membrane scaffold protein MSP1E3D1, then solved the complex by cryo-EM at 2.31 angstrom resolution using a Titan Krios G4 microscope at the POLARIS facility at SOLEIL, processing 10483 movies down to 592436 particles.

In the cryo-EM structure, freed from detergent, PAβN was found in the deep binding pocket of the Tight monomer, stacked between Phe615 from the switch-Loop and F178, with the phenylalanine group surrounded by aromatic residues and the arginine group in a slightly less hydrophobic environment. The density was imperfect but clearly showed three branches corresponding to the three fragments of PAβN, indicating that the molecule is mobile within the cavity. Superposition of the two new MexB structures with the old AcrB structure revealed three very different positions of PAβN along the efflux pathway: at the entry in AcrB, in an intermediate resting zone in the crystal structure, and in the deep pocket in the cryo-EM structure. The conformation of the molecule differed radically in each case, with the three side chains not making contact in AcrB, the naphthylamide stacked on the phenyl in the MexB crystal structure, and the phenyl parallel to the arginine guanidinium in the cryo-EM structure.

These findings suggest that PAβN is not effluxed in a rigid conformation and that there is no real binding of the molecule with the protein before it reaches the deep binding pocket, but rather a series of resting zones along the path, consistent with its role as a competitive substrate rather than a true inhibitor. The comparison also validates the interacting region of PAβN by showing that the pyridopyrimidine inhibitor D13-9001 occupies the same deep pocket position. For drug designers, the message is clear: the cavities of the Tight monomer are highly adaptive, thanks to the loops E673-T678 and F666-P668 that reshape themselves to accommodate ligands, and future inhibitors must account for these resting zones rather than targeting a single static binding site. The study refines the use of PAβN as a reference efflux pump inhibitor, provides new perspectives on substrate transport by RND pumps, and underscores the importance of studying the stability of efflux pump inhibitors under proteolysis conditions to verify that resulting fragments will not be responsible for toxicity in therapeutic use.

Subject of Research: Revisit of the admitted control RND efflux pumps’ inhibitor PAβN: use limitations, and structural revelation in complex with MexB

Article Title: Revisit of the admitted control RND efflux pumps’ inhibitor PAβN: use limitations, and structural revelation in complex with MexB

Article References: Wehbi, H., Olivier, E., Cece, Q., Mégret, M., Sébastien, M., Aissaoui, N., Llanes, C., Phan, G., & Broutin, I. (2026). Revisit of the admitted control RND efflux pumps’ inhibitor PAβN: use limitations, and structural revelation in complex with MexB. Frontiers in Pharmacology, 17, Article 1906963. https://doi.org/10.3389/fphar.2026.1906963

Image Credits: AI Generated

DOI: 10.3389/fphar.2026.1906963

Keywords: Revisit, admitted, control, efflux, pumps, inhibitor, limitations, structural, revelation, complex, MexB, scientific research

The review, led by Robyn Alders of the Australian National University’s Development Policy Centre, with Brigitte Bagnol of Tufts University and Md. Ahasanul Hoque of Chattogram Veterinary and Animal Sciences University, frames avian influenza as one hazard among many interacting within highly interconnected biological, environmental, and socio-cultural systems. Family poultry—defined by the FAO as production systems relying primarily on family labor and locally available inputs, encompassing chickens, ducks, geese, pigeons, quail, and guinea fowl—span extensive scavenging systems of roughly 1 to 50 birds, semi-intensive systems of 51 to 200 birds, and small-scale intensive operations exceeding 200 broilers or 100 layers. These systems coexist within the same communities in many settings, meaning the village itself often functions as the epidemiological unit, particularly where birds roam freely and biosecurity measures appropriate to one production context may be irrelevant to another.

A core epidemiological constraint identified by the authors is the obscuring effect of high background mortality from enzootic diseases. Newcastle disease (ND), first described in 1926 and still enzootic across much of Africa, Asia, and South America, alongside infectious bursal disease (IBD) and fowl cholera, produces clinical signs in chickens that are indistinguishable from those of HPAI without laboratory confirmation. Where vaccination against these vaccine-preventable diseases is irregular or absent—as is common in family poultry systems—frequent high-mortality events normalize poultry deaths and diminish the likelihood that HPAI is recognized or reported. The review notes that coping strategies following ND outbreaks, such as selling live or dying birds, home slaughter and consumption, or improper disposal, can exacerbate transmission and zoonotic risks precisely when HPAI is circulating. Reducing baseline mortality is therefore framed as both a productivity objective and a prerequisite for effective HPAI surveillance, since early-warning systems depend on detecting mortality levels that exceed expected background losses.

The historical trajectory of HPAI emergence described in the review underscores how intensification has reshaped viral dynamics. Between 1990 and 2023, the global chicken population expanded from roughly 11 billion to more than 33 billion birds, a growth concentrated particularly within high-density production systems. The review cites well-supported evidence that increasing poultry density, extensive movement networks, and live bird market connectivity facilitate the amplification and dissemination of avian influenza viruses once introduced into poultry populations, consistent with evolutionary theory suggesting that high densities of susceptible hosts favor the emergence and spread of more virulent pathogens. Major outbreaks in Mexico (1993–1995), Pakistan (1994–1995), and Italy (1999–2000) demonstrated the capacity of H5 and H7 low-pathogenicity viruses to evolve into highly pathogenic forms following sustained circulation in commercial poultry, while the emergence of HPAI H5N1 in southern China in 1996 initiated recurrent outbreaks across Asia, particularly where ND and fowl cholera were already poorly controlled.

On the zoonotic front, the review documents that since 2003 more than 1,000 laboratory-confirmed human H5N1 infections have been reported from over 20 countries, with the vast majority associated with direct or indirect exposure to infected poultry or contaminated environments. Most infections have occurred among people keeping or handling family poultry, participating in household slaughter and processing, or working in live bird markets, rather than being linked to large-scale production. However, the ongoing clade 2.3.4.4b panzootic has expanded the range of occupational exposure settings; in the United States, 70 confirmed human H5N1 infections were identified between March 2024 and May 2025, including 41 associated with infected dairy cattle and 24 with commercial poultry operations. As of June 2026, the clade had reached every continent, causing unprecedented mortality in wild birds and infecting new mammalian host species. Serological studies further suggest that subclinical and mild infections occur more frequently than routine surveillance indicates, implying that laboratory-confirmed cases underestimate the true incidence of zoonotic infection.

The review identifies LPAI as a distinct surveillance challenge requiring different operational approaches. LPAI viruses circulate in domestic poultry with limited or no overt clinical signs, particularly in chickens, ducks, geese, and turkeys, making detection through passive surveillance difficult; effective LPAI surveillance generally requires active sampling. Ducks may excrete virus without showing clinical signs, facilitating silent transmission, and mixed-species production systems involving ducks and chickens contribute to viral persistence and reassortment due to differences in host susceptibility and shedding dynamics. Live bird markets are recognized as key nodes for viral maintenance and transmission, aggregating birds from multiple sources and enabling amplification through high-density contact networks. The review notes that while HPAI surveillance prioritizes rapid detection and response to outbreaks causing clinical disease, LPAI surveillance focuses on detecting silent viral circulation, monitoring H5 and H7 subtypes, and identifying conditions that may favor viral evolution toward high pathogenicity.

Building on a nine-factor assessment of the elements shaping avian influenza control feasibility, the authors group practical entry points into three complementary themes. The first addresses structural constraints within family poultry production systems, including the use of locally adapted poultry genotypes—indigenous and other locally adapted birds generally remain more resilient under endemic disease pressure and resource-constrained conditions than highly selected commercial hybrid lines—alongside improved access to safe markets, sustainable feed and water systems that reduce food–feed competition, and effective control of enzootic vaccine-preventable diseases. The second addresses governance, institutional, and social barriers, including culturally appropriate outbreak preparedness and response protocols pre-negotiated with communities before outbreaks occur, encompassing detection, reporting, movement controls, culling, and compensation arrangements. The third addresses gender and socio-economic equity, encompassing participatory approaches grounded in inclusivity, transparency, and accountability, with particular attention to the barriers that limit women’s access to veterinary extension, training, producer organizations, and decision-making processes.

Trust emerges as a cross-cutting determinant throughout the review. The authors document how uncompensated mass culling during previous HPAI outbreaks eroded producer confidence, how veterinary services oriented toward large livestock and commercial enterprises may lack understanding of family poultry constraints, and how top-down imposition of solutions developed for the large-scale sector without adequate compensation widens the gap between small-scale farmers and animal health authorities. Evidence from several settings indicates that poultry are frequently assigned lower priority for vaccination and animal health investments than larger livestock species. The review proposes that reporting systems should build on the intrinsic motivations of communities, including women, rather than relying primarily on financial incentives, as monetary rewards may increase short-term participation while reducing the sustainability of engagement once incentives are withdrawn. Where uncompensated culling has occurred in the past, proactive trust-repair strategies, including community-level dialogue and transparent accountability mechanisms, are framed as essential preconditions for effective future response.

The review ultimately proposes an integrated conceptual systems framework combining multi-hazard risk management with One Health principles, in which avian influenza risk emerges through interactions among biological and ecological hazards, exposure pathways, underlying vulnerabilities, and response capacities. Biological hazards include viral circulation, mutation, and spillover and interactions between wild and domestic birds; exposure is shaped by poultry density, bird movements, market connectivity, and biosecurity conditions; vulnerability is influenced by livelihood dependence on poultry, food insecurity, poverty, and gendered inequalities in access to resources and services; and response capacity depends on surveillance and diagnostic capacity, veterinary services, institutional coordination, community trust, and the ability to implement appropriate disease-control measures. The authors conclude that functional cross-sectoral collaboration between public health, animal health, and environmental sectors, along with local government, is essential if One Health approaches are to deliver tangible, cost-effective reductions in zoonotic risk while supporting sustainable household food and nutrition security, and that realizing this vision will require sustained political commitment and coordinated investment from national veterinary and public health services, regional and international bodies including the Quadripartite (FAO, WHO, WOAH, and UNEP), and donors, working in genuine partnership with family poultry producers themselves.

Subject of Research: Rethinking avian influenza control: a systems-oriented One Health perspective for family poultry

Article Title: Rethinking avian influenza control: a systems-oriented One Health perspective for family poultry

Article References: Alders, R., Bagnol, B., & Hoque, M. A. (2026). Rethinking avian influenza control: a systems-oriented One Health perspective for family poultry. Frontiers in Veterinary Science, 13, Article 1814751. https://doi.org/10.3389/fvets.2026.1814751

Image Credits: AI Generated

DOI: 10.3389/fvets.2026.1814751

Keywords: avian influenza, One Health, family poultry, HPAI, LPAI, surveillance, gender equity, Rethinking, avian, influenza, control, systems-oriented

Recent history provides a stark example of the scale of these threats. From 2018 to 2020, Africa, the Middle East, and Southeast Asia experienced one of the most severe outbreaks of the desert locust, Schistocerca gregaria. The crisis began in the Arabian Peninsula, with swarms spreading by the end of 2019 to cover a vast area from the Horn of Africa to India and Pakistan. This event highlighted the urgent need for effective control strategies that do not rely solely on conventional chemical pesticides. Traditional control methods often utilize chemicals such as malathion, lambda-cyhalothrin, and fipronil. However, the injudicious use of these substances has raised serious concerns regarding human health, biodiversity loss, and hazards to environmentally sensitive areas, including waterways and national parks.

Consequently, researchers and agricultural managers are increasingly turning to biological control as a vital component of integrated pest management. This approach leverages the natural enemies of locusts and grasshoppers to suppress outbreaks in an eco-friendly manner. More than 70 natural enemies have been reported to attack these pests, ranging from microscopic pathogens to large vertebrate predators. These organisms include entomopathogenic fungi, bacteria, nematodes, predatory insects, birds, reptiles, and mammals. By conserving and maintaining these natural enemies, it is possible to achieve natural suppression of outbreaks while augmenting control efforts with specific biological agents. This strategy offers a reliable method for pest control that minimizes negative effects on human and animal health while preserving ecological balance.

Entomopathogenic fungi stand out as particularly effective biological control agents. Unlike other microorganisms, these fungi do not need to be ingested to infect their hosts. Instead, they infect by direct contact with the host’s cuticle, penetrating the haemocoel through hyphal body penetration. The most notable species in this category is Metarhizium acridum, which has been widely studied and deployed in various regions. This fungus exhibits a wide distribution pattern, colonizing environments from the Arctic to the tropics, including forests, savannahs, and deserts. It is highly selective, posing no significant threat to non-target species such as birds, amphibians, and reptiles. In fact, fungal-infected insects often become sluggish and easier prey for birds, creating a synergistic effect that enhances the overall impact of biological control.

Microsporidia, specifically Paranosema locustae, represent another critical class of biological control agents. This obligate parasite reproduces within the host’s target cells, primarily the adipose tissue, causing high mortality rates in locusts and grasshoppers. Its infection mechanism involves the polar tube of the spore injecting plasma into the target cells. P. locustae has a broad host spectrum within the order Orthoptera, with more than 120 grasshopper species susceptible to the pathogen. Despite its effectiveness against these pests, it is considered safe for humans, animals, and other non-target organisms. The pathogen’s ability to sporulate in infected hosts and its potential for vertical transmission make it a promising tool for long-term population management in deserts and grasslands.

Entomopathogenic viruses and bacteria also play significant roles in the biological control of acridids. Viruses, such as Entomopoxvirus B, can infect multiple species of locusts and grasshoppers, offering a precise and ecologically stable alternative to chemical pesticides. Bacteria like Serratia marcescens and Bacillus thuringiensis have been isolated from locusts and shown to be effective in laboratory settings. B. thuringiensis, in particular, is widely used against various insect pests due to its production of specific protein toxins that are lethal to target insects. These microbial agents can be incorporated into integrated pest management programs, often alongside chemical pesticides, to prolong the effectiveness of control measures and reduce the overall reliance on synthetic chemicals.

Beyond microbial agents, arthropods and vertebrates serve as essential natural enemies in the regulation of locust and grasshopper populations. Predatory insects, such as ants, parasitic wasps, and beetles, feed on locust hoppers and eggs, causing significant mortality. For instance, the larvae of blister beetles and bee flies are important predators of grasshopper eggs, while parasitoids like Scelio species can destroy a substantial percentage of egg capsules. Mites, such as Eutrombidium trigonum, also contribute to population control by parasitizing grasshoppers in their larval stages and preying on eggs in later stages. These interactions highlight the complexity of the ecological networks that keep pest populations in check, demonstrating that the removal of any single natural enemy can lead to increased chances of outbreaks.

Vertebrate predators, including birds, reptiles, and mammals, are also crucial components of the biological control system. Birds can reduce acridid densities by 30 to 50 percent, with at least 537 bird species known to prey on locusts and grasshoppers in Africa alone. Some bird families are specialized acridivores, while others, such as storks and starlings, synchronize their movements with the seasonal migrations of grasshoppers. In certain regions, bird predation is actively used as a management tool, with herded ducks and chickens helping to control locust populations. Reptiles and mammals, including lizards, snakes, foxes, and ground squirrels, also feed on these insects, further contributing to the natural suppression of outbreaks. This diverse array of predators ensures that locust and grasshopper populations remain below catastrophic levels in balanced ecosystems.

The commercial availability of biological control agents has further advanced the field. Formulations of Metarhizium acridum, such as Green Guard, Green Muscle, Novacrid, and Metacridium, are now used in various countries, including Australia, the United Kingdom, Africa, and Mexico. In China, over 100,000 hectares are sprayed with M. acridum and Paranosema locustae annually. These commercial products demonstrate the practical viability of biological control on a large scale. By integrating these natural enemies with other sustainable pest control practices, it is possible to reduce reliance on chemical pesticides, safeguard agricultural productivity, and promote healthier ecosystems. The preservation of natural habitats and the provision of favorable conditions for these natural enemies are essential for fostering ecologically sound management strategies that benefit both agriculture and the environment.

Subject of Research: Biological control of locusts and grasshoppers using natural enemies

Article Title: Biological control of locusts and grasshoppers: A review

Article References: Yasin, M., Khan, A., Qayyum, M. A., Yousuf, H. M. B., Mehfooz, A., & Hunter, D. (2024). Biological control of locusts and grasshoppers: A review. Journal of Orthoptera Research, 33(2), 289-304. https://doi.org/10.3897/jor.33.114472

Image Credits: AI Generated

DOI: 10.3897/jor.33.114472

Keywords: locusts, grasshoppers, biological control, entomopathogenic fungi, Metarhizium acridum, integrated pest management, agricultural pests, ecological balance, natural enemies, sustainable agriculture, Biological, control

The research, led by Yantao Lou and Jing He with colleagues Tonghui Wang and Ruiqian Liu, tackles the load frequency control (LFC) problem in a multi-microgrid system (MMS). In such systems, several microgrids are linked through tie lines, and power disturbances in one network propagate through the connections, superimposing on the random fluctuations already present in its neighbors. The frequency dynamics become strongly nonlinear and substantially harder to control. Electric vehicles, which can act as mobile energy storage through vehicle-to-grid (V2G) capability, add flexible regulation resources but also new uncertainties: their state of charge and the randomness of user behavior complicate the control problem further.

Traditional LFC approaches, from PID controllers to fuzzy logic and model predictive control (MPC), rely on explicit models of the system. They work well when the model matches reality, but under strong stochastic and intermittent disturbances they can suffer from model mismatch and limited adaptability. Machine learning methods, particularly deep reinforcement learning (RL), offer an alternative: agents learn control policies by interacting with the environment. Deep Q-Networks (DQN) have been applied to isolated microgrid frequency control with discrete action spaces, while Deep Deterministic Policy Gradient (DDPG) extends this to continuous control. But single-agent approaches rely on centralized information and decision-making, which is less suitable for a multi-microgrid system requiring local autonomy and privacy preservation, and may introduce communication bottlenecks and single-point failures.

Multi-agent reinforcement learning (MARL) addresses these limitations by giving each microgrid its own agent, achieving distributed coordinated control. Yet MARL brings its own problems: Q-value overestimation, inefficient early exploration, and slow convergence. The new study’s key insight is that the physical constraints and coordination information embedded in expert experience can be systematically exploited to improve training efficiency and policy stability. Rather than using model information only as auxiliary guidance, the researchers let MPC generate high-quality, constraint-satisfying expert trajectories through model-based rolling optimization, then use these demonstrations to guide the learning process.

The proposed framework combines a model of the multi-microgrid system—diesel generators and EV clusters as controllable frequency-regulation resources, photovoltaic generation and local loads as exogenous disturbances—with an MPC controller that solves a constrained optimization problem at each sampling instant. The MPC generates control sequences through receding-horizon optimization, explicitly considering constraints on control inputs, control increments, and system outputs. These state-action pairs are stored as an expert knowledge library, providing physically interpretable and constraint-satisfying prior knowledge for the subsequent MARL training.

The learning architecture is a Multi-Agent Twin Delayed Deep Deterministic Policy Gradient (MA-TD3), which mitigates Q-value overestimation through dual-critic networks, nonsmooth control actions through target policy smoothing, and policy oscillations through delayed policy updates. Each agent’s state vector includes the current and previous frequency deviations of all interconnected microgrids, the current and previous tie-line power variations, and the current and previous net source-load disturbances of its own microgrid. The action is a three-dimensional continuous vector corresponding to the regulation commands of the DG and two EV clusters in the microgrid. The reward function integrates local frequency regulation, inter-microgrid coordination, and penalties for excessive frequency deviations, with episode-dependent exploration and collaboration factors that gradually shift the agents from local stabilization to inter-microgrid coordination.

The training strategy is phased. In the imitation learning stage, agents learn state-action mappings from the MPC expert knowledge through behavior cloning, without environmental interaction. In the hybrid training stage, environmental interaction is introduced based on the policy obtained from imitation learning, with a proportion of expert experiences preloaded into the experience replay buffer. As environmental interaction data accumulate, their relative proportion increases while the influence of expert experiences gradually decreases. The agents transition smoothly from expert guidance to autonomous optimization, mitigating abrupt policy changes and reducing the risk of training instability and policy forgetting.

Simulation results on a two-microgrid validation platform, with parameters based on operational data from actual microgrids, demonstrate the effectiveness of the approach. Under a random load disturbance scenario, the proposed method achieves the lowest mean absolute frequency deviation, maximum absolute frequency deviation, and frequency-deviation standard deviation of 0.0019585 Hz, 0.0053834 Hz, and 0.0019452 Hz respectively, with a pass rate of 99.010 percent. Under a two-sided source-load random disturbance scenario, it again achieves the lowest values of the three deviation indices and a pass rate of 99.519 percent. In a DG fault exit scenario simulating the sudden loss of key frequency regulation resources, the proposed method limits the frequency deviation to approximately 0.005 Hz, achieving a pass rate of 99.704 percent. In scenarios where EV regulation capability is restricted to charging only or subject to time-varying limits, the proposed method consistently outperforms comparison methods including MA-TD3, MA-A2C, MPC, behavior cloning, and fixed-ratio expert replay.

A multi-seed statistical analysis across five independent training runs confirms the consistency of the proposed method. Across the five operating scenarios, it achieves mean absolute frequency deviations of 0.001667 to 0.002200 Hz, maximum absolute frequency deviations of 0.005793 to 0.007209 Hz, and pass rates of 97.2910 to 99.4330 percent, with generally lower across-seed variability than the comparison methods. A preliminary extension to a three-microgrid configuration, with each agent’s observation dimension increased from 8 to 10, maintains coordinated frequency regulation under disturbance, providing evidence that the framework can scale beyond the two-microgrid case.

The study acknowledges limitations: the simulations assume ideal and reliable communication links among microgrids, so communication delays, measurement noise, and packet loss are not explicitly considered. Future research will incorporate these uncertainties and investigate robustness under nonideal communication conditions. The researchers also note that because constraints are enforced during expert-data generation rather than directly on the learned policy during online execution, the guidance does not provide a formal safety guarantee during deployment; mechanisms such as distributional safety critics and risk-constrained policy optimization could be incorporated as complementary safety layers. Nevertheless, the framework demonstrates that systematically exploiting expert knowledge—rather than using it only as auxiliary guidance—can improve the efficiency and stability of multi-agent learning for coordinated frequency control in renewable-rich power systems.

Subject of Research: Reinforcement learning guided by model predictive control keeps multi-microgrid frequencies stable under renewable-rich conditions.

Article Title: Coordinated frequency control of multi-microgrids: A phased MARL guided by constraint-informed expert knowledge

Article References: Lou, Y., Wang, T., Liu, R., & He, J. (2026). Coordinated frequency control of multi-microgrids: A phased MARL guided by constraint-informed expert knowledge. Results in Engineering, 32, Article 113255. https://doi.org/10.1016/j.rineng.2026.113255

Image Credits: AI Generated

DOI: 10.1016/j.rineng.2026.113255

Keywords: microgrid, reinforcement learning, model predictive control, frequency stability, multi-agent systems, electric vehicles, renewable energy, load frequency control, Coordinated, frequency, control, multi-microgrids

The problem the researchers set out to solve is deceptively simple to state. Cloud applications face high operating costs, weak data protection, and inconsistent software quality, and the access control methods in widespread use rarely address resilience against sophisticated attack scenarios. Sybil attacks, in which an adversary fabricates a swarm of fake identities to overwhelm a system, replay attacks, in which captured authentication messages are retransmitted to impersonate a legitimate user, and collusion by malicious insiders who combine their privileges to reach data they should never see, all exploit the same structural weakness: the system that decides who may access what is itself a single, mutable point of failure. As a result, organizations need a secure, scalable, and trustworthy access control framework that not only detects and prevents unauthorized access but also ensures immutability, accountability, and resilience against threats from both inside and outside the perimeter.

The proposed answer integrates blockchain technology directly with cloud storage, and the integration is architectural rather than cosmetic. In the proposed system, a dataset is drawn from CICIDS2017, the Canadian Institute for Cybersecurity Intrusion Detection System 2017 benchmark, a widely used collection of realistic network traffic containing both benign activity and labeled attack scenarios. After the data is stored, users communicate through a Cloud Service Interface for essential functions such as network access, authority management, and overall security authentication. The interface is not merely a login page; it is the front door of a multi-layer authentication process that spans the blockchain’s edge layer, the network layer, the management layer, and the cloud service interface itself. Because every request must pass through this sequence of independent verification stages, the researchers report that data becomes substantially more secure than in conventional single-gate designs.

The technical logic of the layered design deserves close attention. The blockchain edge layer sits closest to the user, anchoring identity and permission decisions in a distributed ledger whose entries, once written, cannot be silently altered. This immutability is what transforms access control from a promise into a provable property: when a permission is granted, the grant is recorded on the ledger, and when access occurs, the event is traceable to a ledger entry that no insider can rewrite. The network layer then guards the transport path, ensuring that authentication messages crossing it cannot be replayed or forged, since each exchange is bound to ledger state that changes with every transaction. The management layer coordinates authority management, deciding which parties hold the power to issue, modify, or revoke permissions, and it does so under the same ledger discipline, so that even administrators act within an auditable frame.

This layered authentication has a direct consequence for the attack classes that motivated the work. A Sybil attack depends on the attacker’s ability to mint identities cheaply; when identity issuance is anchored to a ledger with consensus rules and cost, the swarm of fake identities becomes far harder to sustain. A replay attack depends on authentication messages remaining valid when retransmitted; when each message is bound to evolving ledger state, an old message no longer opens any door. Insider collusion depends on administrators combining mutable privileges out of sight; when every privilege change is written to an immutable record, collusion leaves evidence. The architecture thus converts each attack from an exploit into a traceable event, which is precisely the shift the researchers identify as missing from existing methods.

Performance is the second pillar of the proposal, and it is where the work departs from much of the blockchain-security literature, which often accepts heavy overhead as the price of trust. The researchers state that the proposed system improves storage capacity and security while minimizing communication cost, storage cost, and execution time. The mechanism behind these gains lies in the division of labor among the layers: the edge layer handles verification close to the user, reducing round trips to distant cloud units; the management layer concentrates authority decisions, avoiding redundant checks; and the cloud service interface streamlines the essential functions of network access, authority management, and security authentication into a single coherent workflow. In conventional designs, these functions are scattered across separate systems, each adding latency, storage, and coordination overhead that accumulates with every user request.

The choice of CICIDS2017 as the evaluation dataset is significant for what it says about the system’s intended threat model. The benchmark contains realistic traffic patterns drawn from operational networks, including intrusion scenarios that mimic the behavior of real adversaries rather than synthetic anomalies. Evaluating a blockchain-anchored access control system against such data tests whether the layered authentication can distinguish legitimate user flows from hostile ones under conditions that resemble production environments. The researchers describe the workflow as follows: the dataset is taken from CICIDS2017, and after data storage, users communicate through the Cloud Service Interface for the essential functions of network access, authority management, and overall security authentication, with the multi-layer authentication process spanning the blockchain’s edge layer, network layer, management layer, and cloud service interface guarding each exchange.

The broader context of the research is a field in rapid transition. The study’s bibliography traces a decade of effort to secure cloud storage through attribute-based encryption, role-based access control, deduplication with dynamic ownership management, proxy re-encryption, zero-trust dynamic access control, and data integrity auditing without private key storage. Recent work has pushed toward distributed ledger technology for personal data access control with key redistribution, blockchain-assisted identity management and integrity verification in cloud environments, and blockchain-based authentication protocols designed specifically from a cloud computing perspective. The new proposal sits squarely in this lineage but differs in a crucial respect: rather than bolting a ledger onto an existing access control system, it makes the ledger the structural backbone of a layered architecture whose every stage draws its trust from the same immutable record.

What makes the work potentially consequential for practice is the combination it achieves. Organizations have long faced a trade-off between security and performance: stronger authentication typically means more verification steps, more cryptographic operations, and higher costs, while leaner systems leave gaps that adversaries exploit. The researchers claim that their layered blockchain design escapes this trade-off, delivering improved storage capacity and security alongside reduced communication cost, storage cost, and execution time. If the claimed gains hold at production scale, the implications extend across sectors that depend on cloud storage under regulatory pressure, from healthcare systems managing sensitive records to financial platforms handling transactional data, where accountability and immutability are not optional features but legal requirements.

The study, received in August 2025, revised in May 2026, and published on 15 October 2026 in Cluster Computing as volume 29, article 856, arrives at a moment when the cloud’s role as the world’s default data repository is colliding with growing distrust of the parties that operate it. The authors, spanning departments of artificial intelligence, electronics and communication engineering, and computer science and engineering across Hyderabad, Surampalem, Guntur, and Vaddeswaram, state no funding involvement and no competing interests. Their contribution is a design argument backed by evaluation: that the trust deficit at the heart of cloud storage can be closed not by asking storage companies to behave better, but by rebuilding the access control system so that its decisions are anchored in a ledger no single party can rewrite, verified across layers no single message can bypass, and measured against attack data no synthetic benchmark can flatter. Whether this architecture becomes the template for the next generation of cloud security will depend on adoption, but the direction it points is unambiguous: the future of cloud trust may be written, block by block, in immutable ink.

Subject of Research: Secure cloud storage strategy of access control system using blockchain

Article Title: Secure cloud storage strategy of access control system using blockchain

Article References: Rao, L. S., Santhosh, P., Satyanarayana, D., Latha, A., Fariddin, S. B., & Sowjanya, G. N. (2026). Secure cloud storage strategy of access control system using blockchain. Cluster Computing, 29(15), Article 856. https://doi.org/10.1007/s10586-026-06641-5

Image Credits: AI Generated

DOI: 10.1007/s10586-026-06641-5

Keywords: Secure, cloud, storage, strategy, access, control, system, blockchain, scientific research

Natural cilia offer a compelling blueprint because they accomplish something remarkable for structures only a few micrometers long: they move fluid efficiently and in coordinated waves. In the human respiratory tract, for example, hundreds of cilia on each epithelial cell beat in metachronal waves to sweep mucus and trapped pathogens upward. Replicating this at the microscale with conventional motors has proven impractical, since electromagnetic motors cannot easily be shrunk below tens of micrometers while retaining useful power. The Cornell team’s solution relies on actuators and electronics fabricated using semiconductor manufacturing techniques, which allows the cilia to be addressed individually or in groups by electronic signals. This programmability is what distinguishes the new work from earlier microfluidic pumping schemes that relied on passive structures or externally applied fields.

The choice of temperature as the sensed variable is scientifically significant for several reasons. Temperature gradients are ubiquitous in both natural and engineered microenvironments, and they influence diffusion rates, chemical reaction kinetics, fluid density and therefore convection, and the viability of living cells. In a biomedical context, localized temperature differences can signal inflammation, infection, or the presence of tumors, which often run slightly warmer than surrounding tissue due to elevated metabolic activity. A swarm of microrobots capable of detecting such gradients and actively redistributing heat—or the dissolved and suspended contents of the fluid they move—could in principle perform corrective actions at sites that conventional catheters and externally applied fields reach only crudely. The feedback loop demonstrated here, in which sensing drives actuation and actuation changes the very quantity being sensed, is the minimal architecture of what control engineers call closed-loop regulation, implemented for the first time among cooperating microscopic machines.

The leader-follower communication scheme deserves particular attention. Coordinating even two independent microchips requires a protocol that is robust to noise, timing jitter, and the power constraints inherent to sub-millimeter electronics. The two temperature-sensing circuits described in the release function as a distributed decision-making system: the leader detects the thermal state of the environment and the follower adjusts its pumping behavior accordingly, with the cilia array serving as the shared actuator. This division of labor mirrors strategies found in biological collectives, where individual cells or organisms respond to local cues and to signals from neighbors rather than to any central controller. Scaling such schemes to larger numbers of robots raises questions about synchronization stability, communication bandwidth, and fault tolerance, all of which are active areas of research in swarm robotics and distributed computing.

The pumping direction logic described by Cohen—forward flow above a threshold temperature, reverse flow below it—constitutes a simple but powerful control policy. It effectively turns the cilia array into a microscopic thermostat that can either concentrate warm fluid where it is needed or flush it away where it is not. Because the cilia are electronically programmable, the threshold, stroke sequence, and pumping rate can in principle be reconfigured without physically altering the hardware. This flexibility matters for real-world deployment, where the desired behavior may depend on the application: in agriculture, for instance, one might want to circulate nutrient solution around plant roots or leaf surfaces, while in medicine the goal might be to modulate the thermal environment of a wound or a surgical site.

The scale of the robots—described as roughly the width of a human hair—places them in a regime where surface forces overwhelm body forces. Capillary adhesion, electrostatic attraction, and viscous drag all become dominant, while gravity becomes nearly irrelevant. Fabricating machines that operate reliably under these conditions requires not only miniaturized actuators but also onboard electronics that can sense, compute, and communicate while drawing minuscule amounts of power. The Cornell group’s earlier demonstrations of autonomous walking robots, environmental sensors, imaging capabilities, and inter-robot communication each addressed a piece of this puzzle. The current work integrates those pieces into a single functional system, which is arguably the more difficult engineering feat: any one capability can be demonstrated in isolation, but combining them without interference demands careful co-design of mechanics, electronics, and control software.

The prospect of future iterations responding to light or pH, as Cohen suggests, opens a broad design space. Light is attractive as a stimulus because it can be delivered remotely, patterned spatially, and modulated in intensity and wavelength, allowing external operators or onboard logic to trigger specific behaviors. pH sensing would be valuable in biological contexts, since acidity varies across tissues and organelles and shifts in disease states such as tumors or infected wounds. Coupling chemical sensing to mechanical actuation—setting off reactions or motions in response to molecular cues—would move these systems closer to the kind of chemotactic behavior seen in bacteria, which swim toward nutrients and away from toxins by comparing concentrations over time. A swarm of programmable microrobots performing analogous logic, but with engineered responses, would represent a substantial advance toward active matter systems that intervene in their chemical as well as physical environments.

The idea of robots that walk independently rather than remaining fixed in an array introduces additional challenges and opportunities. A mobile microrobot must contend with locomotion efficiency at low Reynolds number, where drag dominates and momentum cannot be stored; the walking robots developed previously by the Cohen lab address this with coordinated leg-like actuation. Mobility would allow robots to seek out regions of interest rather than waiting for the environment to come to them, and it would enable dynamic reconfiguration of the collective, with robots aggregating where sensing indicates action is needed and dispersing when it does not. Combining mobility with the pumping and sensing capabilities demonstrated here would yield a system capable of both locating and reshaping thermal or chemical gradients, a level of autonomy that no current microrobotic platform fully achieves.

Publication in Nature Electronics situates the work within a growing literature on micro- and nanorobotics that has accelerated over the past decade, driven by advances in semiconductor fabrication, new actuator materials, and improved understanding of low-Reynolds-number hydrodynamics. The field draws inspiration from biological microswimmers—sperm cells, bacteria, ciliated protozoa—whose propulsion strategies have been analyzed mathematically since the 1950s and 1970s in the work of researchers such as Edward Purcell and George Oster. Translating those insights into engineered devices required waiting for manufacturing technology to catch up, and the Cornell team’s use of standard microfabrication suggests a path toward mass production, which is essential if such robots are ever to be deployed in the large numbers needed for practical applications. A single robot, however capable, cannot meaningfully alter the temperature of even a small volume of fluid; thousands or millions working in concert, as the 54-cilia array foreshadows, are required to achieve macroscopic effect from microscopic action.

The phrase Cohen uses—little things can have a large impact—captures the central promise and the central difficulty of microrobotics. The promise is that swarms of tiny machines, each individually simple, can accomplish tasks that no single large machine could: navigating tortuous biological channels, operating inside sealed microfluidic systems, or distributing interventions with cellular precision. The difficulty is that every function—power, sensing, computation, communication, actuation—must be rebuilt from scratch at a scale where conventional engineering intuition often fails. The Cornell demonstration, by showing sensing, communication, and coordinated actuation operating together in a closed loop for the first time, marks a milestone in that rebuilding process. It suggests a trajectory toward microrobotic systems that do not merely observe the microscopic world but actively manage it, with applications that could eventually span medicine, agriculture, environmental monitoring, and manufacturing at scales where human hands and conventional tools cannot reach.

It is worth noting what remains to be demonstrated before such applications become realistic. The current system operates in a laboratory setting with external power and control, and extending autonomy—onboard energy storage, decision-making, and robustness to unstructured environments—remains an open challenge across the field. The leap from 54 cilia in a fixed array to independently walking robots that communicate and coordinate in three dimensions will require advances in power delivery, wireless communication at small scales, and algorithms for collective decision-making under uncertainty. Nevertheless, the architectural template established here—sense the environment, communicate among units, actuate to reshape the environment, and repeat—provides a framework that future systems can inherit and extend, much as the individual capabilities demonstrated in the Cohen lab’s earlier work were combined in this study to produce something greater than the sum of its parts.

Subject of Research: For the first time, microrobots coordinate and control their environment

Article Title: For the first time, microrobots coordinate and control their environment

Article References: For the first time, microrobots coordinate and control their environment. (n.d.). Original publication

Image Credits: AI Generated

DOI: Not provided

Keywords: first, time, microrobots, coordinate, control, environment, scientific research