Search Results (18,490)

Plant growth-promoting microorganisms (PGPMs) and microbial biocontrol agents have emerged as key tools for improving crop productivity while maintaining environmental sustainability. However, central questions remain regarding which factors determine their consistent field performance and how these factors interact under real agronomic conditions. Previous research has demonstrated that PGPMs enhance nutrient acquisition, regulate phytohormone balance, improve stress tolerance, and suppress plant pathogens through diverse biochemical and ecological mechanisms. Advances in omics technologies, genome mining, and synthetic microbial communities have further expanded understanding of their functional potential. Nevertheless, many studies rely on laboratory-scale experiments or short-term trials, with limited multi-season and cross-regional validation. This gap contributes to inconsistent field outcomes and restricts large-scale agricultural adoption. Long-term multi-season validation and reproducibility assessment remain essential priorities for improving reliability of microbial agricultural products. This review synthesizes recent advances in PGPM-based biofertilizers and microbial biocontrol technologies, critically examining their mechanisms of action, scalability constraints, formulation challenges, and regulatory limitations. It identifies major translational barriers, including context dependency, mechanistic uncertainties, reproducibility gaps, and insufficient systems-level integration. Full article

Background/Objectives: Asthma affects millions of patients worldwide and impacts their quality of life, particularly among children. Colonisation or an imbalance within natural resident microbiota may drive inflammatory responses in asthma; antibiotic resistance genes (ARGs) have also been investigated in asthma microbiome studies. However, research on the association between airway microbiota and ARGs remains limited. Therefore, we elucidated functional-level characterisation at the level of ARGs, virulence factors, and active pathways among a paediatric asthma cohort relative to a healthy control. Methods: Overall, 29 children with asthma and 20 control subjects were enrolled, and 3 swabs (2 nasal and 1 oropharyngeal) were obtained from each participant. Genomic DNA was extracted and sent for shotgun sequencing, after which bioinformatic analysis was conducted to remove human reads and analyse the microbiota pattern in the samples. The abundance of antibiotic resistance genes was evaluated along with the distribution of virulence genetic markers. Functional investigation of the most prevalent metabolic pathways was also performed. Results: Upper airway microbiome functional capacity varied by anatomical location, with oropharyngeal communities exhibiting greater metabolic breadth than nasal communities, suggesting the sample source to be the dominant factor shaping gene content, pathway profiles, and community structure. Asthma-related functional differences were modest, and no biological pathways remained significant following false discovery rate correction. Enrichment of antimicrobial resistance genes was observed, particularly those conferring resistance to β-lactams, macrolides, and tetracyclines. Conclusions: Different anatomical niches exhibit differential activities, and further exploration in this direction could aid in the development of diagnostic and therapeutic biomarkers for asthma. Full article

Sensing mutual information (SMI) is widely adopted as a performance metric for integrated sensing and communication (ISAC) to enhance both sensing and communication capabilities. However, conventional approaches derive SMI from amplitude and phase, whereas an explicit evaluation of range mutual information (RMI) remains absent. In this paper, we investigate a novel closed-form approximation of RMI for ISAC. We first derive an explicit expression for the posterior probability density function (PDF) of the target range, which is formulated as a function of the signal’s autocorrelation and cross-correlation. Furthermore, we show that under high signal-to-noise ratio (SNR), the estimated range PDF approximates a Gaussian distribution in the sensing-unconstrained scenario and a truncated Gaussian distribution in the sensing-constrained scenario. Finally, we derive closed-form approximations of the RMI in both scenarios under high SNR. In the sensing-unconstrained scenario, the RMI is proportional to the delay interval, root-mean-square bandwidth, and SNR. In the constrained scenario, we obtain a closed-form RMI approximation by introducing an entropy correction term that quantifies the impact of boundary constraints. Additionally, we employ a maximum likelihood estimation (MLE) method to assess range estimation performance. Simulation results validate the accuracy of the theoretical results and the effectiveness of the proposed approximations. Full article

Social media has become an important venue for health communication. Although prior research has examined the effects of humor, evidence on the mechanisms through which humor shapes communication effectiveness in social media health communication remains fragmented and has not been systematically synthesized. This systematic review examines how humor functions as a communication strategy in social media health communication designed by healthcare professionals, health organizations, and researchers. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) guidelines, 32 empirical studies were identified and synthesized. Findings indicate that humor is primarily used in two ways: as a content-level strategy to enhance audience engagement and as a psychological persuasive appeal in health message design and dissemination. Across studies, humor not only enhanced platform-level engagement but also influenced affective responses, attitudes, cognitions, and perceptions, which in turn shaped health-related behavioral intentions. Importantly, the effectiveness of humor was also contingent upon contextual and audience characteristics. This review integrates fragmented evidence into a conceptual framework that clarifies the pathways and boundary conditions of humor-based health communication on social media. It also highlights key limitations associated with the use of humor in health messaging and outlines directions for future research. Overall, this study provides theoretical insights and practical guidance for the strategic use of humor in digital health communication. Full article

Aging is associated with disturbances in brain energy metabolism, mitochondrial dysfunction, and increased oxidative stress, all of which increase neuronal vulnerability and contribute to the development of neurodegenerative disorders. Growing evidence indicates that physical exercise exerts neuroprotective effects through the release of exerkines–exercise-induced signaling molecules that mediate communication between peripheral tissues and the brain. Among them, irisin, a proteolytic cleavage product of the membrane protein FNDC5, has emerged as an important mediator of the muscle–brain axis. This review summarizes current knowledge on the molecular mechanisms underlying irisin activity in the central nervous system, with particular emphasis on the AMPK–PGC-1α–FNDC5/BDNF signaling axis, rapid receptor-mediated pathways involving the cAMP/PKA/CREB and ERK/CREB cascades, and the regulation of mitochondrial homeostasis, including biogenesis, dynamics, autophagy, and mitophagy. Experimental studies suggest that irisin may improve neuroplasticity, neuronal survival, mitochondrial function, and reduce oxidative stress, thereby alleviating cognitive deficits in models of aging and neurodegeneration. Although the precise receptor mechanisms and intracellular signaling events remain incompletely understood, accumulating evidence identifies irisin as a promising therapeutic target linking metabolic adaptation with neuroprotection. Further investigation of irisin-dependent pathways may facilitate the development of novel strategies aimed at preserving brain function and delaying the progression of age-related neurodegenerative diseases. Full article

Long-term monitoring is essential for understanding how recurring disturbances, such as hurricanes and coral bleaching, affect reef fish communities and ecosystem processes. This study evaluates temporal trends (2013–2025) in fish assemblage composition, functional diversity, and nutrient excretion proxies (C, N, and P) across three reef sites on San Andrés Island in the Colombian Caribbean. Our results reveal significant shifts in community structure following major disturbances in 2020 (Hurricanes Eta, Iota) and 2023 (mass bleaching event). Taxonomic and functional richness (TRich, FRich) fluctuated throughout the study period, whereas functional divergence (FDiv) declined earlier (2016), highlighting site-specific differences. A trait-based nutrient-excretion proxy (NPC composite score) identified key species that maintain nutrient cycling. Despite recent coral bleaching, certain sites exhibited functional resilience, sustained by the persistence of high-performing nutrient providing species. However, the overall disconnect between taxonomic recovery and functional stability suggests that ecosystem-level processes remain vulnerable, even when species richness appears to recover. This highlights the importance of integrating functional traits and nutrient recycling proxies into monitoring programs to better predict long-term variability in San Andrés Island reefs under a changing climate. Our findings provide a framework for prioritizing management efforts in the Seaflower Biosphere Reserve with emphasis on maintaining ecosystem services. Full article

Spontaneous fermentation processes can promote uncontrolled microbial growth and increase the risk of foodborne contamination, making the characterization of artisanal beverages essential for consumer safety. This study investigated the microbial composition of quinoa-based rejuvelac, a homemade fermented drink often perceived as a functional food, with the objective of identifying potential microbiological hazards associated with its preparation. High-throughput sequencing of the 16S rRNA V3–V4 region was combined with shotgun metagenomics to profile bacterial communities and recover metagenome-assembled genomes. The analysis revealed a strong dominance of Pseudomonadales, mainly Pseudomonas, Acinetobacter, Enterobacter and Burkholderiales, while lactic acid bacteria typically responsible for stable and safe fermentations were not detected. Shotgun metagenomics recovered medium- to high-quality genomes from Burkholderiaceae and Clostridiales, supporting the overrepresentation of non-beneficial taxa and indicating deviations from expected fermentation microbiota. These results show that the spontaneous preparation of rejuvelac may favor bacterial groups associated with environmental contamination rather than fermentative pathways, underscoring the importance of hygiene practices, controlled starter cultures and monitoring strategies to mitigate microbiological risk. The study highlights the need for improved safety standards in artisanal fermented foods to prevent unintended microbial contamination and protect consumers. Full article

Microcystin (MC) contamination of surface waters threatens ecosystems and public health. Nature-based solutions such as Multi-Soil-Layering (MSL) systems have been used for MC remediation. However, the biological mechanisms controlling MC degradation remain unclear. The present study investigates microbial community responses in two MSL systems with different clay contents (8% and 54%) exposed to MC-contaminated inputs (well water and eutrophied lake water). Samples were analysed before and after treatment using quantitative PCR (qPCR) to quantify the mlrA gene (encoding microcystinase) and its bacterial hosts. Next-generation sequencing (NGS) was used to assess microbial diversity, while the FAPROTAX database was used to predict functional characteristics. Results showed that MC was mainly adsorbed in pozzolan layers, while mlrA gene abundance and MC-degrading bacteria were higher in soil mixture layers. The presence of mlrA and associated bacteria was most pronounced in lake inflow samples, indicating intrinsic MC Biodegradation potential. Taxonomic analysis revealed dominant phyla including Proteobacteria, Actinobacteriota, Firmicutes, Chloroflexi and Bacteroidota. Functional analysis identified dominant traits such as chemoheterotrophy and aerobic metabolism. These findings provide new insights into microbial interactions in MSL systems and contribute to the optimisation of water treatment strategies for MC-contaminated environments. Full article

The combined effects of organic pollutants and vertical soil gradients on microbial community assembly in long-term contaminated sites remain insufficiently understood. In this study, high-throughput sequencing was employed to characterize prokaryotic communities across depth-resolved soil profiles at a contaminated site in Tianjin, China. Microbial diversity, taxonomic composition, and predicted functional traits varied significantly with soil depth and pollutant distribution. Surface soils exhibited higher richness and diversity, with Shannon, Sobs, and PD indices decreasing with depth (p = 0.020, p = 0.002, and p < 0.001, respectively). Redundancy analysis showed that the first two axes explained 89.91% of the total variance, indicating strong associations between microbial community structure and environmental variables. Community differentiation was related to pollutant type, with aromatic hydrocarbons more strongly linked to surface assemblages and chlorinated compounds associated with deeper horizons. Although the overall abundance of predicted metabolic genes decreased with depth, the distribution of major functional categories, including pathways related to organic matter degradation, remained comparatively stable. Co-occurrence network analysis revealed a progressive decline in network connectivity and complexity along the vertical gradient, with the number of edges decreasing from 853 (L1) to 447 (L3) and average degree decreasing from 16.404 to 9.122. These findings highlight depth-related environmental filtering as a key mechanism structuring microbial communities under long-term organic contamination and provide a scientific basis for optimizing depth-specific in situ bioremediation strategies, such as targeting aromatic hydrocarbon degradation in surface soils and chlorinated compound remediation in deeper layers. Full article

Transitioning from traditional to organic production is gaining popularity worldwide with significant challenges including weed management. We evaluated how legumes sown as cover crops in a synchronous intercropping (SI) system with organic oat (Avena sativa) as the main crop impacted weed communities. A split-plot design was set up on a farm in Poularies (Quebec, Canada) to compare Melilotus officinalis, Trifolium incarnatum, Trifolium repens and a control without legumes for two years (2019–2020). We determined the botanical composition, calculated diversity indices, and measured plant functional traits. Species richness was similar (S = 5.5 ± 0.4) across treatments in 2019, but higher in the control (S = 12.2 ± 2.6) and lower (S = 6.0 ± 1.2) under T. incarnatum in 2020. Shannon diversity was lower in 2019 (H′ = 1.49 ± 0.07) than in 2020 (H′ = 1.99 ± 0.04), and higher under the control (H′ = 1.87 ± 0.05) than under T. incarnatum (H′ = 1.46 ± 0.04). Weeds under T. incarnatum had a high specific leaf area and a resource-acquisition strategy, while those in the control had a higher leaf dry matter content and a resource-conservation strategy. Our study brings novel results on the use of legumes in SI systems to control weeds. Using T. incarnatum in a SI system with oat had the greatest capacity to cover the ground, control weeds and reduce their diversity, but this species and the acquisitive weeds in this treatment could compete with the main crop. Future research should evaluate the quantity and quality of yields to complete this ecological study and give appropriate agronomic recommendations. Our results could provide agronomists and farmers with indications on the level of competition weeds exert on the cropping system depending on the SI treatment. Full article

Inoculation is serious business, but that does not mean it cannot be viewed through a perspective of humor, nor that humor cannot be part of the process of attitude resistance. This applies to both medical and communication-based inoculation, with scientists examining how humor could function as an adjuvant and facilitate resistance to persuasive attacks. Though relatively limited, considerations of humor have been part of inoculation theory from the beginning—dating back from McGuire’s seminal 1964 review to the prominent role of humor in modern gamified inoculation interventions against misinformation. In this article, we explore humor’s role in inoculation theory, review emerging research, and propose promising directions for future theory and application. Full article

Intergenerational memories, migration histories, and the lasting influence of colonial linguistic systems profoundly shape heritage language maintenance in Afro-descendant communities of Central America. This study examines how genealogy functions as a pedagogical tool for sustaining English-based Creole languages among Afro-descendant populations in Costa Rica, Panama, and Belize, three nations linked by Afro-Caribbean migration yet shaped by distinct colonial and educational systems. Drawing on scholarship documenting oral histories, family narratives, and community-based linguistic practices, the study advances a genealogy-as-pedagogy framework to explain how families transmit language, identity, and belonging across generations through ancestral memory, positioning family-based knowledge transmission as curriculum. In Costa Rica and Panama, where Spanish colonial and post-independence language ideologies marginalize English-based Creole varieties, genealogical practices operate as primary mechanisms of linguistic continuity in the absence of sustained institutional support. In Belize, by contrast, British colonial legacies and the national recognition of Belizean Kriol create a distinct sociolinguistic environment in which state institutions, the media, and educational policy reinforce genealogical memory. Through comparative analysis, the study argues for integrating genealogical knowledge into multilingual education, community revitalization initiatives, and heritage language policy to strengthen Afro-descendant linguistic continuity in Costa Rica, Panama, and Belize. Full article

Cities worldwide are turning to green infrastructure (GI) as a potential decentralized pathway to stormwater management, heat abatement, and other climate adaptation and wellbeing benefits. As with environmental governance, public engagement in GI planning—from design to implementation and maintenance—is necessary to incorporate diverse perspectives, better understand the potential impact of environmental policies, and ensure fair and equitable outcomes. However, GI is different from broader environmental governance approaches in that it demands on-the-ground labor and long-term maintenance, which are crucial for ecosystem function. In this paper, we conduct a comprehensive literature review of 46 articles published between 2014 and 2024 to provide a more nuanced understanding of public engagement for GI in municipal settings. Results reveal diverse and innovative approaches to engagement that involve integrating social and environmental data, on-the-ground activities, and working groups. We further highlight four key characteristics of GI engagement: (1) the multifunctionality of GI, (2) the incorporation of public and private land, (3) effects on community-building and sense of place, and (4) environmental and social justice. By embracing the multifunctionality of GI and centering justice, engagement efforts are more likely to recruit diverse community members, maintain long-term engagement, and simultaneously address multiple social and environmental needs. Full article

Although high-frequency electromagnetic methods, such as Radio Magnetotellurics (RMT) and Controlled-Source Radio Magnetotellurics (CSRMT), are highly effective for shallow-to-medium depth exploration, deploying traditional transmitter–receiver setups remains labor-intensive and significantly slows down large-scale surveys. To overcome these logistical bottlenecks, we developed a mobile Ultra-Audio Frequency Electromagnetic (UAEM) measurement system. While the hardware is designed with dual-mode capabilities supporting conventional controlled-source operations, this paper specifically focuses on its application in a Signals of Opportunity (SOOP) mode. By utilizing pre-existing, stable anthropogenic signals, including Amplitude Modulation (AM) broadcasts and naval very low frequency communications, the system effectively functions as a broadband RMT receiver. Technical evaluations demonstrate that the instrument operates across a 1 Hz to 1000 kHz bandwidth with a high sampling rate of 2.5 MHz. Furthermore, it achieves a dynamic range of 143 dB and maintains an apparent resistivity measurement accuracy of better than 3%. Thanks to its modular, vehicle-towed design, the UAEM system enables continuous, on-the-move data acquisition wherever ambient field sources are available. This approach eliminates the need for dedicated transmitter deployment, fundamentally reducing exploration costs and boosting overall survey efficiency. Full article

Master–slave bilateral teleoperation systems face several practical challenges, including model uncertainties, time-varying communication delays, and environment-induced force disturbances. To address these issues, this paper proposes an adaptive super-twisting sliding-mode control scheme to achieve high-precision position tracking and real-time force-feedback synchronization. First, joint-space dynamic models are established for both the master and the slave manipulators, and a passive impedance model is adopted to characterize the interaction dynamics at the operator–master and environment–slave interfaces. Second, to attenuate measurement noise in the environment interaction force, a first-order low-pass filter is used to preprocess the raw force measurements, and a radial basis function neural network (RBFNN) is employed to approximate the environment torque online. Furthermore, a super-twisting sliding-mode controller is developed and combined with an adaptive law to compensate online for system uncertainties, including dynamic parameter variations and environment-induced force disturbances. The stability of the resulting closed-loop system is rigorously analyzed using Lyapunov stability theory. Finally, the effectiveness of the proposed method is validated through numerical simulations, virtual experiments conducted in the MuJoCo physics engine, and real-world hardware experiments. The results show that the proposed strategy achieves accurate position synchronization and force tracking while maintaining stable haptic interaction in the presence of bounded time-varying delays, parameter uncertainties, and external disturbances. Full article