Search Results (607)

The transforming growth factor-beta (TGF-β) superfamily regulates diverse biological processes, including proliferation, differentiation, apoptosis, tissue remodeling, and reproductive signaling across metazoans. Here, we performed a genome-wide characterization of the TGF-β gene family in donkey (Equus asinus, ASM1607732v2) using comparative genomics and bioinformatics analyses, with horse (Equus caballus, EquCab3.0) as a reference to investigate evolutionary conservation and functional divergence. Genome assemblies and proteomes were retrieved from NCBI, and TGF-β genes were identified using BLASTp and HMMER searches (Pfam PF00019), followed by phylogenetic, conserved motif, synteny, Ka/Ks, mutation prediction, subcellular localization, and tissue-specific expression analyses. We identified 40 TGF-β genes in donkeys, exceeding the numbers reported in several mammals, suggesting possible lineage-specific expansion or differential gene retention within Equidae. Phylogenetic and motif analyses demonstrated strong evolutionary conservation across the two principal clades (TGF-β-like and BMP-like). Four segmental duplications were identified, with Ka/Ks ratios ranging from 0.28 to 0.43, indicating strong purifying selection on duplicated genes. Synteny analysis revealed extensive collinearity with the horse genome, supporting conserved equid genomic architecture. Comparative sequence analysis identified 160 amino acid variants, including 11 predicted deleterious mutations in key genes (GDF6, GDF9, GDF10, BMP15, and RGMA), suggesting potential functional divergence associated with reproductive and developmental pathways. Importantly, transcriptomic validation using publicly available donkey RNA-seq tissue expression data (NCBI BioProject: PRJNA1017964) revealed distinct tissue-specific expression patterns, with reproductive tissues (ovary and uterus) displaying enriched expression of TGF-β/BMP signaling components, particularly TGFBR1, TGFBR2, TGFB1, BMP2, BMP4, and BMP7, while canonical fecundity genes (GDF9 and BMP15) exhibited ovary-associated expression. This receptor-dominant signaling profile may have a coordinated TGF-β regulatory network underlying folliculogenesis, reproductive tissue remodeling, and fertility-related processes in donkeys. Subcellular localization predictions showed that most proteins (22/40) were extracellularly localized, consistent with conserved signaling functions. Together, this study provides the first integrated genomic and tissue-expression atlas of the donkey TGF-β superfamily, offering new insights into equid-specific evolutionary conservation, reproductive signaling, and functional divergence. Full article

Potato is the third most important food crop in the world after maize and rice. Its importance stems from its contribution to food security in most parts of the world. Although the crop is widely cultivated globally, it faces numerous biotic and abiotic challenges, among which plant-parasitic nematodes pose a significant threat. The objective of the study is to map the nematode species affecting potato crops while drawing links with their pervasiveness and outlining effective control strategies. The article selection process followed the PRISMA guidelines. A total of 41 articles were selected for the review from an initial 944 records retrieved from the Web of Science, Scopus, CAB Abstract, and reference list based on their relevance to the study criteria. The findings indicate that G. pallida, G. rostochiensis, M. incognita and M. javanica were the most reported nematodes globally. Chemical and biological control remain the most widely used management strategies, while incorporating resistant cultivars, abiotic inducers, organic fertilizers, and crop rotation offers greater potential to enhance the sustainability and resilience of farming systems. A significant global research gap persists in nematode surveillance and diagnostic surveys of potato-growing regions. Full article

Background/Objectives: Hypocalcemia is a major transition-cow disorder in dairy cattle, with clinical and subclinical forms differing in detectability, severity, timing, and herd-level consequences. This systematic review integrates evidence on calcium (Ca) homeostasis, classification of clinical hypocalcemia (CHC) and subclinical hypocalcemia (SCH), diagnostic interpretation, risk factors, systemic effects, and preventive and therapeutic strategies in dairy cows. Methods: Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA) 2020 statement, PubMed, ScienceDirect, SpringerLink, and CAB Abstracts were searched in February 2026 for 1994–2025 publications, and 23 reports were included in a qualitative synthesis; meta-analysis was not performed because of methodological and outcome heterogeneity. Results: The evidence indicates that hypocalcemia should be interpreted as a failure of homeorhetic adaptation to abrupt mammary Ca export rather than as a simple mineral deficiency. The parathyroid hormone–vitamin D axis, skeletal Ca mobilization, renal Ca conservation, intestinal Ca absorption, magnesium (Mg) status, dietary cation–anion difference (DCAD), dry matter intake, parity, and acid–base balance jointly determine whether blood Ca is maintained during early lactation. Total calcium (tCa) thresholds are useful decision aids for herd-level monitoring, but their interpretation depends on sampling time, parity, persistence pattern, clinical signs, and the relationship between tCa and ionized calcium (iCa). Subclinical hypocalcemia is most relevant when it is delayed, persistent, or occurs in high-risk cows because reduced Ca availability can impair smooth muscle function, feed intake, immune competence, uterine health, and metabolic resilience. Management should therefore combine prepartum ration control, Mg adequacy, DCAD and urine pH monitoring, selective Ca testing in high-risk cows, targeted oral Ca supplementation for standing cows, and intravenous Ca treatment for recumbent CHC cases. Conclusions: The evidence supports a risk-based, context-aware strategy rather than universal threshold-driven treatment. Full article

The transition to renewable energy requires scalable and sustainable hydrogen production technologies. Dark fermentation (DF) can generate biohydrogen from diverse biomass feedstock, but its efficiency remains limited. Immobilising anaerobic consortia offers a route to improve performance. This study reports on the immobilisation of whole cells in hybrid biochar–alginate beads (BAB) compared with control alginate beads (CAB) during DF. Biochar from oakwood and water hyacinth, pyrolysed at 450 and 600/650 °C, were incorporated into BAB. BAB increased biohydrogen production rates by 1.4–2.6-fold relative to CAB, driven by enhanced microbial attachment, synergistic interactions, and improved mass transfer. High-temperature biochar generated the strongest effects, raising hydrogen yield by up to 23% and shortening the lag phase by 94%. Biochar properties, including porosity, surface area, inorganic content, electrical conductivity and buffering capacity, likely support these effects. These results establish hybrid biochar-alginate support as a promising platform to accelerate DF and advance biohydrogen as a sustainable biofuel. Full article

Delirium is a transient neuropsychiatric condition that is a severe and prevalent condition affecting 2.6 million older adults each year. Alzheimer’s disease (AD) and anticholinergic medication use are risk factors for delirium. This study evaluated the association between cumulative anticholinergic burden (CAB) and risk of delirium among older adults with AD initiating cholinesterase inhibitors (ChEIs). This retrospective cohort study used 2013–2017 Medicare claims data, and included adults 65 years and older with AD who initiated any of the ChEIs (donepezil, rivastigmine, and galantamine) after a 12-month washout period. CAB, as the primary exposure, was measured on the index date and calculated as the monthly total standardized daily dose of anticholinergic medications. A multivariable Cox proportional hazards regression model with inverse probability of treatment weighting (IPTW) generated using generalized boosted models was used to evaluate the risk of delirium associated with the CAB. This study identified 143,320 older adults with AD who initiated ChEIs. Most patients were in the low/no burden (62.73%) group, followed by high burden (21.12%) and moderate burden (16.14%). Overall, delirium diagnosis was observed in 19.11% of the cohort. The Cox regression model with IPTW found that moderate (aHR, 1.56; 95% CI, 1.52–1.61; p < 0.0001) and high CAB (aHR, 1.45; 95% CI, 1.42–1.49; p < 0.0001) were associated with an increased risk of delirium compared to low/no burden. Among older adults with AD initiating ChEIs, moderate and high CAB were associated with an increased risk of delirium compared with low/no CAB. These findings highlight the need to carefully reduce the CAB, especially dose and duration, along with utilizing anticholinergic alternatives in older adults with AD. Full article

Vegetable mechanized transplanting is a key link bridging industrial seedling raising and field cultivation, whose technical level directly determines operating efficiency and planting standardization. Despite its importance, current transplanting systems still struggle with instability and limited coordination between modules. This review adopts a systematic literature analysis methodology, covering core databases including Web of Science, Scopus, CNKI, and CAB Abstracts. In response to prominent issues in current transplanting equipment, such as continuous seedling supply, low-damage seedling picking, synchronization of conveying and planting actions, and adaptability to high-speed operation, this paper systematically reviews and evaluates the latest research progress in related key technologies worldwide. From the perspective of kinematic chain coupling, the transplanting process is deconstructed into four core stages: “seedling supply—seedling picking—seedling delivery—seedling planting,” with a focus on analyzing the temporal coordination, spatial constraints, state transitions, and their dynamic coupling relationships within the machine-seedling-soil system. Research indicates that vegetable transplanting technology is evolving from localized mechanism optimization toward whole-process collaborative design and system stability control, with typical high-speed operation efficiency reaching 60–140 plants per minute per row. However, significant challenges remain in low-damage seedling picking and planting at high speeds, adaptability to diverse varieties and seedling states, online perception and real-time error correction, as well as engineering reliability. The seedling damage rate under high-speed operation exceeds 8% in most existing equipment, and the planting upright rate drops by more than 5% when the operating speed increases from 60 plants/min to 120 plants/min. Future research should prioritize multi-stage collaborative optimization design, in-depth investigation of machine-seedling-soil interaction mechanisms, innovation in intelligent perception and precise control strategies, and the development of modular, low-cost, and high-performance transplanting equipment. These efforts will drive vegetable mechanized transplanting technology toward greater intelligence, efficiency, and versatility. Full article

This study presents an experimental characterization and numerical assessment of Cu–Al–Be (CAB) shape memory alloys (SMAs) for potential applications in U-shaped flexural plate (UFP) seismic dampers. Six alloy compositions were evaluated through monotonic tensile tests, ASTM F2516 superelastic protocols, and increasing-amplitude cyclic loading to identify the material exhibiting stable superelastic behavior at room temperature. Among the tested materials, alloy CAB4.76-A showed the most favorable response, with high transformation stress, stable pseudoelastic behavior, and strain recovery exceeding 95% for strains up to 2.5%. A phenomenological finite element model based on the Auricchio constitutive formulation was calibrated using experimental data within the validated strain range (ε ≤ 0.025), showing good agreement in stiffness and stress prediction. The calibrated model was subsequently applied to simulate the response of a UFP device under orthogonal cyclic loading. The results indicate a strong dependence on loading orientation due to coupled bending–torsion effects, with the 90° direction exhibiting significantly higher strength and energy dissipation capacity. Comparison with analytical formulations originally developed for steel UFPs showed that these expressions provide approximate estimates when applied to SMA-based devices. The results suggest that Cu–Al–Be alloys are a promising alternative for UFP applications, while highlighting the importance of loading orientation and the need for future experimental validation at a device scale. Full article

Cameras and IMUs on heavy mining trucks supply the visual signal that Advanced Driver Assistance Systems (ADASs) use in open-pit operations. Haul roads in a surface mine are unstructured and unmarked, so a perception model must be both accurate and fast. We address this with a video-based multitask pipeline for a mining Driver Support System (DSS): a single BiSeNetV1 network produces drivable-area segmentation and steering-direction classification in one forward pass. Training used only 100 frames sampled non-sequentially from in-cab recordings of a real open-pit mine; evaluation used two full onboard sequences. To exploit temporal redundancy without annotating video, we propose an Adaptive Clockwork (A-CW) inference scheme: the spatial path runs on every frame, while the context path is refreshed only on keyframes whose cadence is set by the classification output, the same signal shown to the driver as a steering hint. This classification-guided policy increases context updates on curved segments, where the scene changes more rapidly, and reduces them on straight sections, where semantic redundancy is higher. The selected A-CW configuration was evaluated on full temporal test sequences, including one route kept entirely outside the training source. On this unseen route, A-CW achieved 94.70% road-class IoU and 73.68% Top-1 Accuracy. GPU-only throughput increased from about 55 FPS with frame-by-frame inference to 168.01 FPS, and display-excluded end-to-end processing in the simulated ADAS pipeline remained at approximately 37.5 FPS. Full article

As a core component for restraining cab roll, the lateral stabilizer bar bears continuous complex alternating loads during vehicle operation, making it highly susceptible to fatigue failure that may trigger severe traffic accidents. Therefore, fatigue analysis of the lateral stabilizer bar is of great significance. To address the drawbacks of conventional direct load testing, such as difficult sensor arrangement and long test cycles, this paper proposes a fatigue-load decomposition and life evaluation method, combining multi-body dynamics and virtual iteration. Firstly, target signal spectra of the frame are obtained via real-vehicle road tests, and a high-precision system dynamic model is established with key suspension parameters. Subsequently, virtual iteration technology is adopted to accurately inverse-solve load spectra at critical points of the lateral stabilizer bar. Finally, the finite element model of the lateral stabilizer bar is validated through modal tests, and the fatigue life and vulnerable regions of the lateral stabilizer bar are predicted using the material S-N curve. Compared with traditional physical testing methods, the proposed method effectively avoids barriers to direct testing under complex operating conditions. It not only greatly reduces testing difficulty and time costs but also ensures the accuracy of load extraction and system analysis. Full article

The escalating global threat of antimicrobial resistance (AMR) has intensified efforts to identify safe, effective, and sustainable alternatives to in-feed antibiotics in livestock production. The bovine gastrointestinal microbiome plays a central role in host immunity, nutrient utilization, and disease resilience, positioning microbiome-modulating interventions as promising candidates for antimicrobial stewardship. Despite growing experimental interest, a systematic synthesis of the available evidence in cattle is lacking. This systematic review aimed to evaluate the efficacy of microbiome-modulating interventions, including probiotics, prebiotics, postbiotics, phytogenic feed additives, essential oils, organic acids, and native rumen microbial supplements, as strategies to reduce antimicrobial use in cattle, and to characterize their effects on gut microbial diversity, fermentation characteristics, and host health and performance outcomes. A systematic search of Scopus, Web of Science, and EBSCOhost (including Academic Search Ultimate, MEDLINE with full text, and CAB Abstracts with Full text) was conducted in accordance with PRISMA guidelines. Studies were eligible if they used cattle (dairy cattle, beef cattle, calves, or mixed production systems), employed a microbiome-modulating intervention, and reported at least one microbiological or host outcome. Seventeen peer-reviewed studies published between 2010 and 2025 were included after full-text screening. Risk of bias was assessed using an adapted SYRCLE tool, which identified moderate overall study quality; the majority of included studies were randomized controlled trials or controlled experiments, though reporting of allocation concealment and blinding was inconsistent across studies. Across the 17 included studies, five broad categories of interventions were evaluated: probiotics (n = 5 studies), prebiotics (n = 2), postbiotics and organic acids (n = 4), phytogenic additives and essential oils (n = 4), and native rumen microbial supplements (n = 2). Animals spanned neonatal dairy calves, weaned Holstein calves, dairy heifers, lactating dairy cows, and Bos indicus feedlot beef cattle. Probiotics and organic acids most consistently improved growth performance: benzoic acid supplementation increased average daily gain by 8.4% (p < 0.05) and fructo-oligosaccharide prebiotics elevated body weight at weaning by 6.7% (p < 0.01). Native rumen microbial supplements improved energy-corrected milk yield by up to 3.1% without increasing dry matter intake. Polyphenols and bile acids demonstrated the strongest immunological and disease-preventive effects, reducing calf mortality by approximately 40% and disease severity by approximately 35%, respectively. Microbiome analyses revealed intervention-dependent increases in microbial diversity and shifts toward taxa associated with improved fermentation efficiency, including enrichment of propionate-producing Prevotellaceae, butyrate-associated Ruminococcus, and hindgut Bifidobacterium. Rumen fermentation outcomes included reductions in the acetate:propionate ratio and ammonia-N concentrations and improvements in fiber digestibility of 3.6–4.4 percentage units in dairy cows. Phytogenic additives preserved microbial diversity without inducing broad-spectrum suppression, functioning primarily as microbiome stabilizers rather than direct antimicrobial replacements. This systematic review provides evidence that gut microbiome modulation may enhance growth performance, improve fermentation efficiency, and reduce disease susceptibility in cattle, thereby supporting antimicrobial use reduction across dairy, beef, and mixed production systems. Effect magnitudes varied substantially across intervention categories and production contexts, and study quality was moderate, underscoring the need for larger, pre-registered trials with standardized outcome reporting and direct antibiotic comparator arms. Probiotics, prebiotics, and bile acid metabolites showed the greatest potential as components of integrated antimicrobial stewardship strategies in cattle production. Full article

Despite a large number of African-born individuals residing in the United States, there is a significant disparity in how this community accesses and utilizes mental health treatment. Low screening rates for common mental health concerns is one crucial part of ongoing inequities in mental healthcare access. Willingness to engage in screening is negatively impacted by a lack of culturally responsive ways to make screening more acceptable and stigma with mental health. This study therefore aimed to examine the perceived acceptability and utility of community-developed patient vignettes created to increase willingness to be screened for common mental health concerns. Employing a qualitative approach, a community advisory board (CAB) (n = 5) was enlisted to co-develop vignettes outlining an African community member’s symptoms of anxiety and subsequent help-seeking behavior. Two focus groups of community members (n = 18) provided qualitative feedback on the vignettes and shared their general attitudes towards mental health and recommendations for mental health screening and treatment in the African community. Using a hybrid inductive and deductive qualitative descriptive approach and classifying responses based on the socioecological model, four major themes emerged from the data: (1) between support and strain: the role of family; (2) reducing stigma: community voices as education; (3) culture as a barrier and a bridge; and (4) the importance of stories that reflect lived experience. Overall, participants were receptive to the culturally-responsive mental health vignettes and provided fruitful suggestions for how these stories can be used to reduce stigma and increase willingness to seek screening and treatment in African-born residents of the United States. Full article

Background/Objectives: Zastaprazan (JP-1366) is a novel potassium-competitive acid blocker (P-CAB) used for the treatment of gastroesophageal reflux disease (GERD). To date, its metabolic pathways and metabolism-related drug–drug interactions (DDIs) in humans remain incompletely elucidated. This study aimed to determine the relative contributions (f_m) of cytochrome P450 isoforms to JP-1366 elimination and assess its DDI potential. Methods/Results: In vitro metabolic studies using human liver microsomes (HLMs) revealed that JP-1366 was first metabolized to M1, which subsequently underwent further oxidation, glucuronidation, and N-dealkylation. Mono-oxidation was estimated to contribute more than 46% to the overall metabolic clearance of JP-1366. Reaction phenotyping identified CYP3A as the major enzyme (f_m = 96.1%), followed by CYP1A2 (1.49%) and CYP2C9 (2.41%). By integrating in vitro data, clinical pharmacokinetic data and clarithromycin coadministration DDI data, a physiologically based pharmacokinetic (PBPK) model was developed and validated. Simulations predicted significant DDIs with strong CYP3A inhibitor (ketoconazole), with AUC ratios of 3.80. Moderate inhibitors (fluconazole and fluvoxamine) caused mild increases (AUC ratios: 1.14–1.74). Conversely, strong and moderate CYP3A inducers, rifampicin and efavirenz, produced pronounced DDIs, with AUC ratios of 0.22 and 0.50, respectively. Furthermore, simulations predicted that although JP-1366 functions as a CYP enzyme inhibitor, it would not cause clinically meaningful changes in the plasma exposure of corresponding CYP substrate drugs; however, potential interactions with CYP3A substrates still warranted consideration. Conclusions: JP-1366 is predominantly cleared via a CYP3A-dominated metabolic pathway. The PBPK simulations suggest that JP-1366 may be a moderately sensitive CYP3A substrate and a moderate inhibitor of sensitive CYP3A substrates, while its perpetrator DDI risk toward other major CYP pathways appears limited. These findings support caution or monitoring when JP-1366 is co-administered with strong CYP3A modulators or sensitive CYP3A substrates. Full article

Salinity is a dominant ecological driver shaping microbial community structure and function in hypersaline environments. Here, we investigated transcriptional responses to rapid salinity fluctuations using metatranscriptomic analyses of an intermediate-salinity brine sample from the Santa Pola solar salterns (Alicante, Spain). To this end, two experimental conditions were applied: salinity increase (12.4% to 17%) and salinity dilution (12.4% to 7%). Differential gene expression, functional enrichment, and protein isoelectric point (pI) distributions were analyzed to characterize osmoadaptive mechanisms. Salinity increase triggered a stress-dominated response characterized by upregulation of compatible solute biosynthesis (e.g., glycine betaine and ectoine), protein turnover, and chaperone activity, alongside repression of translation, energy metabolism, and transport systems. In contrast, salinity dilution induced metabolic reactivation, including enhanced translation, energy production, and osmolyte degradation pathways, indicating recovery from osmotic stress. Functional shifts were accompanied by changes in proteome physicochemical properties, with increased salinity promoting a shift toward higher pI proteins, consistent with salt-out strategies. These findings reveal a highly dynamic and asymmetric transcriptional plasticity, where osmotic upshift imposes stronger constraints than downshift, driving coordinated metabolic reprogramming and proteome restructuring in intermediate-salinity microbial communities. Full article

The aim of this study was to perform a systematic review of studies published in the last 25 years to determine the influence of calving management (type of calving pen, bedding, frequency of cleaning), birth monitoring, birth induction, and dystocia on calf morbidity and mortality. The following databases were used for research: PubMed, CAB Abstracts, and Web of Science. In total, four studies were included for birth induction, sixteen for calving management, eight for birth monitoring, and twenty for dystocia. All factors included had an influence on perinatal mortality. Calving management and dystocia influenced mortality up to weaning. Severe cases of dystocia raised the risk of mortality from 11.2 to 53.17 and even cases of moderate dystocia led to an increased risk of mortality from 2.04 to 11.6. Passive transfer of immunity was improved by more frequent birth monitoring. Dystocia increased the risk of failure of passive transfer. Good calving management and performing of birth monitoring reduced the risk of morbidity. Dystocia led to a higher risk of morbidity. Dystocia had the greatest influence on the parameters examined. This systematic review provides evidence that intrapartum factors have an influence on calf morbidity and mortality and shows possibilities to improve calf health outcomes. Full article

High-precision environmental perception is essential for deep-sea exploration and autonomous underwater vehicle operations. However, physical factors such as light scattering and selective absorption, along with high target–background similarity, cause existing detection methods to suffer from low recall and inaccurate localization on targets with blurred edges, low contrast, or category ambiguity. To address these challenges, we propose YOLO-CAB, a YOLOv13-based underwater object detector designed to handle these complex scenes by optimizing feature extraction, boundary perception, and the loss function. First, we introduce the Context-Aware Large Selective Kernel (CALSK) module into the shallow backbone layers to expand the receptive field and adaptively enhance spatial features via multi-scale depthwise convolutions. Furthermore, the Spatial Boundary Attention Module (SBAM) is applied before the feature pyramid enters the detection head to refine multi-scale features and enhance sensitivity to target boundaries. To address the variance in detection difficulty across categories, we also develop the Momentum-based Category-Aware Weighted Intersection over Union (MCAWIoU) loss. Consequently, the proposed weighting mechanism improves localization accuracy and confidence distribution for challenging samples. Evaluated on the RUOD benchmark dataset, YOLO-CAB improves mean average precision ($mA{P}_{50}$) by 4.67%, the stricter localization metric ($mA{P}_{50-95}$) by 3.0%, and $F_1$ score by 3.7% over the vanilla YOLOv13n baseline. Ablation studies confirm the individual and synergistic contributions of these components. With 8.85 GFLOPs and an inference time of 5.21 ms under the tested hardware setting, YOLO-CAB improves detection accuracy while maintaining real-time inference. Full article