Search Results (1,826)

Introduction: Guam, the largest U.S. territory in Micronesia, plays a central role in surgical care for the local indigenous community and surrounding Pacific Island nations, yet remains underrepresented in surgical systems research. Methods: We conducted a mixed-methods study. Quantitative data were collected on operating volume, personnel, infrastructure, and surgical services at Guam Memorial Hospital (GMH) and Guam Regional Medical City (GRMC). Semi-structured interviews with hospital leadership and surgical providers captured qualitative insights on strengths, challenges, and future plans. Results: GMH and GRMC collectively provide general emergency, obstetric, and basic pediatric surgery, although advanced subspecialty and oncologic care remain limited. Although surgeons are highly adaptable with broad-practice capability, challenges, including resource limitations, aging facilities, advanced presentation, and subspecialty recruitment, limit the cases that are operable on Guam, resulting in expensive medical transfer. Anticipated stressors such as oncologic and non-communicable disease burden may further strain the system, emphasizing the necessity for modernized facilities and targeted recruitment of surgeons with regional ties. Conclusion: Strengthening Guam’s surgical capacity is essential for the provision of oncologic care and the advancement of health equity across the Pacific region, emphasizing an urgent need for investment in infrastructure, locally relevant workforce training, and regional policy development. Full article

Interrater reliability is a critical aspect of measurement quality, particularly in assessments that rely on subjective judgment. However, interrater reliability estimates vary, and such variability can introduce bias or reduce the accuracy of observed scores, especially when comparing across groups or conditions. Understanding and accounting for these differences is essential when interpreting reliability in applied settings such as education, psychology, and performance evaluation. This study addresses the need for more nuanced approaches to evaluating interrater reliability across groups. Specifically, in this study, we examine generalizability theory (GT) and structural equation modeling (SEM) that enable direct testing of differences in reliability coefficients across groups. A simulation study compared a proposed method grounded in GT and SEM to the W statistic for reliability coefficient comparisons. Results demonstrate that the proposed method consistently outperforms the W statistic in terms of both Type I error control and statistical power, particularly when sample sizes are moderate to large or when variance in rater agreement exists across groups. These findings underscore the importance of explicitly modeling differences in interrater reliability and provide researchers with a more robust tool for evaluating the consistency of ratings across diverse contexts and populations. Full article

Recent high annual losses of honey bee (Apis mellifera) colonies, averaging 40% in the United States from 2008 to 2025, are concerning for beekeepers, growers, policy makers, and scientists. Viruses, the most abundant group of honey bee pathogens, impact honey bee fitness and contribute to colony losses. Several studies have utilized next-generation sequencing (NGS) technologies to discover new honey beeinfecting viruses and expand our understanding of the honey bee virome. Herein, we examined the viromes of honey bees obtained from longitudinally monitored, commercially managed colonies that experienced population decline (average ~44%) during the 2022–2023 beekeeping season. We hypothesized new viruses or virus genome variants may be associated with these declines. To test this hypothesis, we sequenced RNA obtained from virus-augmented honey bee samples from representative colonies managed by four beekeeping operations in California. We discovered three undescribed partitivirus-like sequences that were prevalent and abundant in all beekeeping operations, a new Lake Sinai virus, and a sequence variant of acute bee paralysis virus. In addition, we re-sequenced the genomes of 16 previously characterized bee and/or Varroa destructor mite infecting viruses and two previously described, but not well-characterized, partitivirus-like sequences (i.e., Apis mellifera associated partiti-like virus 1 and Hubeipartiti-like virus 34). Virus abundance was greater in libraries representing colonies that died during the monitoring period. Full article

The influence of phosphoric acid (H₃PO₄) and sodium hydroxide (NaOH) impregnation on the pyrolysis and CO₂ gasification behavior of dairy manure was evaluated using thermogravimetric analysis (TGA), with kinetic parameters assessed through iso-conversional kinetic analysis (Frieman method). H₃PO₄ pretreatment altered early decomposition by partially removing hemicellulose and promoting the formation of thermally stable, condensed char structures. The resulting chars exhibited reduced CO₂ reactivity, as evidenced by higher gasification temperatures, lower syngas yields, and elevated activation energies, indicating hindered CO₂ diffusion and slower Boudouard reaction kinetics. In contrast, NaOH pretreatment caused only minor changes in both pyrolysis and gasification behavior. A slight reduction in pyrolysis activation energy suggested Na⁺ catalyzed bond-cleavage reactions; however, this effect did not enhance CO₂ gasification reactivity. Chars produced from NaOH-treated manure exhibited slightly higher activation energies during CO₂ gasification and syngas yields, which remained close to or slightly above those of raw manure, attributed to complex mineral interactions that diminish the catalytic influence of sodium. Overall, these findings clarify how acid and base chemical pretreatments govern char evolution and carbon-CO₂ reactivity, providing a foundation for optimizing pretreatment strategies and reactor conditions for manure conversion in CO₂-based pyrolysis and gasification systems. Full article

The aim of this study is to evaluate the effect of harvest time, alcohol adjustments, and maceration time on Cabernet Sauvignon wines’ sensory profiles and polysaccharide content and composition. For achieving that, grapes were harvested at three different maturities and for each of them, the alcohol was adjusted to three different concentrations (~11%, 14%, and 16.5%). In addition, wine was macerated for either 10 days or 8 months (a maceration length not previously studied). As a result of this design, 54 wines were produced (3 harvests × 3 alcohol contents × 2 maceration treatments, in triplicate). Maceration and alcohol were the most relevant factors for explaining the sensory differences in the wine, considering aromas, taste, and mouthfeel perception. Descriptive sensory analysis of the wines revealed that astringency is better predicted using protein-precipitable tannins (0.98) and tannin galloylation (0.86) than tannin size (−0.61). The polysaccharide content did not show a correlation with mouthfeel sensory descriptors. Pectic polysaccharides were found in a higher concentration in the EM wines with low and medium alcohol. The harvest, maceration, and alcohol did not present clear effects on the rest of the polysaccharide types or overall content. Full article

Florpyrauxifen-benzyl (FPB) is an auxin-mimic herbicide that controls selected grasses, sedges, and broadleaves in rice cropping systems. Field experiments were conducted in 2023 and 2024 to characterize the effects of FPB on crop safety and weed control when applied alone or in combination with other herbicides, and to assess whether FPB can provide season-long, effective weed management. Base treatments of benzobicyclon (BBC)/halosulfuron-methyl (HSM), clomazone (CLM), or thiobencarb (TBC) were applied on the day of seeding (DOS) or within the 2-leaf stage (LS) rice and followed by foliar treatments of FPB alone or in a mixture with bispyribac-sodium (BPS), penoxsulam (PNX)/cyhalofop-butyl (CHB), or propanil (PPL). Additionally, FPB was applied alone with no prior base treatment, in combination with a mixture partner, and as a sequential treatment, 14 days apart, with the first application made to 4- to 5-LS rice; in contrast, the second application was made to mid-tillering rice. The FPB applied alone or in sequential application showed results for more than 98% of watergrasses and 100% of ricefield bulrush, smallflower umbrella sedge, ducksalad, redstems, and all other broadleaves control at 56 days after treatment (DAT). When applied after the base treatments, the weed control increased to 100% for all weed species at 14 DAT. The sequential application of FPB achieved the highest yields of 7683 kg ha⁻¹ in 2023 and 11,249 kg ha⁻¹ in 2024, resulting in 3.6- and 6.4-fold increases in rice yield over the nontreated control. Owing to its excellent sedge and broadleaf weed control and good activity on troublesome grasses, such as barnyardgrass, FPB could be an essential part of the weed management programs in rice production systems. Full article

Babesia divergens, a zoonotic tick-borne pathogen, causes bovine and human babesiosis in Europe. The Elongation Factor 1 alpha (EF-1α) protein is important in many cellular processes and has emerged as a possible target for subunit vaccine development against parasitic infections, and its intergenic region (IG) is an important tool for genetic manipulation of Babesia parasites. While the EF-1α locus of B. divergens has been described, structural variation between isolates was poorly defined. In order to fill this gap, we performed a comparative analysis of the EF-1α-IG in B. divergens human (Rouen 87 and Spanish sample) and bovine (Türkiye) host isolates. Our findings revealed both conserved and variable elements, particularly in TA nucleotide repeat numbers and IG sequence length. The Spanish isolate exhibited the highest TA repeat expansion, whereas the Rouen 87 strain had the shortest IG. Given the known role of repeat-rich promoter elements in gene regulation, these differences may influence EF-1α transcription. Additionally, these findings provide insights into the evolutionary divergence of B. divergens and its host adaptation mechanisms. This study establishes a foundation for future gene editing and transfection strategies, where selecting intergenic sequences with varying TA repeats could optimize transfection efficiency and explain phenotypic differences between isolates from different hosts or regions. Full article

Poor nutrition is a known contributing factor to ongoing high rates of honey bee colony mortality. Beekeepers invest significant resources to provide supplemental feeds to their colonies, but currently available diets are nutritionally incomplete. To test whether commercially managed colonies fed a manufactured, nutritionally complete Pollen-Replacing Feed (PRF-1) would exhibit improved colony health outcomes compared to beekeeper-selected Commercial Standard Feeds, we tracked colony health metrics from fall through almond pollination and the subsequent spring in a large-scale, multi-year field trial. By January (in almonds), PRF-1-fed colonies had 1.19 more frames of bees (p < 0.001) and 18.7% more colonies meeting the 8-frame minimum size requirement for high-revenue pollination contracts. After almond pollination (March), PRF-1-fed colonies exhibited a 13.8% increase in survival (p = 0.002), 2.57 more frames of bees (p = 0.006), and 0.79 more frames of brood (p = 0.003). PRF-1-fed colonies also exhibited superior spring build-up, adding 1.22 more frames of bees between January and March (p = 0.03). Economically, a hypothetical 100-colony operation fed PRF-1 garnered an additional $12,065.81 in gross revenue in the first year. Nutritional benefits are projected to compound, leading to exponentially increased revenue over subsequent years. Persistent improvements in colony health demonstrate that providing a nutritionally complete pollen-replacing feed in fall and winter has a long-lasting, positive impact on colony health and commercial viability. Full article

Oxidative alcohol metabolism in the liver relies on sequential enzymatic reactions involving alcohol dehydrogenase (ADH), cytochrome P450 2E1 (CYP2E1), and aldehyde dehydrogenase (ALDH) isozymes. However, the circadian regulation of these enzymes, their susceptibility to genetic, environmental, and metabolic disruption, and their functional implications toward alcohol-mediated tissue injury remain incompletely defined. To address this gap, we performed a comprehensive integrative analysis of the publicly available circadian transcriptome datasets spanning genetic clock disruption, acute sleep deprivation, chronic high-fat diet feeding, and occupational shift work to systematically characterize the temporal regulation and disruption vulnerability of the major alcohol-metabolizing enzymes. Mouse tissue-cycling analyses revealed pronounced gene- and tissue-specific diurnal regulation, with Adh1 oscillating primarily in adipose tissues; Cyp2e1 and mitochondrial Aldh2 cycling broadly across kidney, aorta, lung, adrenal gland, and liver; and cytosolic Aldh1b1 being uniformly arrhythmic. In the liver, Cyp2e1 and Aldh2 exhibited robust ~24 h oscillations that peaked during the light/resting phase, while Adh1 showed inconsistent rhythmicity and Aldh1b1 remained arrhythmic. Notably, Cyp2e1 and Aldh2 rhythms persisted in Bmal1 knockout and Clock mutant livers under light–dark conditions, despite complete loss of core clock gene oscillations, yet were abolished in constant darkness, revealing that systemic zeitgeber cues can mask the loss of intrinsic clock function to maintain apparent rhythmicity in these metabolic genes. Systematic cross-paradigm comparison established a novel gene-specific vulnerability hierarchy. Aldh2 was found to be most disrupted by environmental and metabolic perturbations, with acute sleep deprivation eliminating its rhythmicity and temporal expression pattern and a Western-style high-fat diet inducing pronounced phase delays and rhythm loss relative to low-fat diet controls. Both disruptions paralleled alterations in hepatocyte nuclear factor 4α (Hnf4a), newly implicating HNF4α as a potential mediator of ALDH2 circadian instability. In humans, ALDH2 and CYP2E1 exhibited conserved but phase-inverted circadian rhythms across multiple tissues relative to mice, and, importantly, night-shift workers showed markedly dampened and phase-shifted ALDH2 rhythms in peripheral blood mononuclear cells, providing the molecular link between occupational circadian misalignment and impaired acetaldehyde detoxification. Collectively, our detailed and innovative analytical approach reveals gene- and tissue-specific circadian regulation of alcohol-metabolizing enzymes, identifies ALDH2 as uniquely vulnerable to circadian misalignment, underscores the importance of circadian timing for optimal hepatic detoxification and resistance to tissue injury, and suggests that monitoring circadian rhythms could help tailor individualized advice on alcohol consumption for shift workers and populations with irregular sleep schedules, informing precision medicine approaches for alcohol-related disorders. Full article

Rift Valley fever (RVF) transmission has intensified in southwestern Uganda since 2016. To quantify human and livestock exposure and associated risks, we conducted a cross-sectional serosurvey in Isingiro, Kabale and Rubanda districts between October and November 2023. A total of 766 humans and 2383 livestock were sampled and tested for RVF antibodies using ELISA, with structured questionnaires capturing demographic, behavioral and environmental data. Human seroprevalence was 11.5% (88/766), varying by district (13.8% Isingiro, 11.8% Rubanda, 6.8% Kabale; p = 0.04). Independent predictors from the multivariate model included raw-meat consumption (aOR 6.11; 95% CI 1.16–27.80), cattle ownership (aOR 2.33; 95% CI 1.27–4.36), male sex (aOR 1.64; 95% CI 1.02–2.66) and younger age compared with ≥50 years (31–49 years: aOR 2.02; 95% CI 1.20–3.48; 18–30 years: aOR 2.37; 95% CI 1.04–5.14). Herd-level seroprevalence was 42.5% (204/480), associated with cattle presence (aOR 6.48; 95% CI 4.10–10.40), lack of carcass burial (aOR 15.70; 95% CI 4.23–63.60), on-farm slaughter (aOR 2.14; 95% CI 1.21–3.89) and increased mosquito activity (aOR 1.75; 95% CI 1.13–2.73). Animal-level seroprevalence was 14.6% (347/2383), highest in cattle (33.8%), with cattle having markedly higher odds than goats (aOR 6.73; 95% CI 4.96–9.14). These findings demonstrate substantial transmission and highlight cattle-centered interfaces as primary targets for control to humans. Full article

In multicellular organisms, the development of diverse cell types relies on stem cell differentiation through a hierarchy of fate decisions. Pluripotent stem cells first give rise to multipotent progenitors, which then undergo successive fate decisions to generate specialized cells within their respective lineages. Waddington used the metaphor of a marble rolling down a hill through hierarchically branching valleys that represent the various states of cell differentiation, with the final valleys at the bottom symbolizing the specialized cells. Mathematically, specialized cells are seen as stable attractors in a complex dynamical system that displays multistability. However, this framework does not necessarily describe the hierarchical branching of stem cell differentiation. In a recent study, we addressed this issue by assuming that each gene regulatory network (GRN) consists of hierarchically coupled gene subnetworks (modules) that are self-regulated due to epigenetic factors. Each module was modeled using the normal form of relevant bifurcations. Overall, this approach captures both multistability and hierarchical branching in differentiation. Here, the normal forms of bifurcations are replaced by realistic biochemical switches. Theoretical analysis and numerical simulations demonstrated that hierarchically coupled biochemical switches can depict the three fundamental aspects of Waddington’s epigenetic landscape: (a) differentiation trajectories exhibit hierarchical branching, (b) attractors are robust to perturbations (homeorhesis), and (c) the proportions of specialized cells are preserved. It was further shown that appropriate external interventions can induce either probabilistic cellular reprogramming or highly predictable reprogramming outcomes. The incorporation of biochemical switches, rather than purely abstract normal forms, can contribute to more biologically grounded mathematical models of stem cell differentiation. This work also highlights the importance of normal forms for qualitatively understanding cell state dynamics and for building realistic modular GRNs. Full article

Raw and minimally processed berries are not subjected to any processing kill steps and are stored under cold conditions to extend shelf-life. This study evaluated the growth and survival of high and low populations of L. monocytogenes on blueberries and raspberries stored under refrigerated and frozen temperatures. Fresh berries (10 g) were inoculated with a five-strain cocktail of L. monocytogenes to target 5.5 or 2 log CFU/g, stored at 4 and −18 ± 2 °C, and enumerated for up to 14 days post inoculation (dpi) at 4 °C and 168 dpi at −18 °C. Significant differences were evaluated (p ≤ 0.05), and die-off was modeled, using Davies test to determine breakpoints. No significant changes (p > 0.05) in L. monocytogenes populations were observed over time on berries stored at 4 °C, regardless of inoculation level. At −18 °C, significant reductions were observed over 168 dpi, with greater declines for high-inoculated blueberries and raspberries (2.63 and 2.13 log CFU/g, respectively), compared to those that were low-inoculated (0.67 and 0.46 log CFU/g, respectively). Die-off modeling indicated linear decay for both low-inoculated berry types and biphasic patterns for both high-inoculated frozen blueberries and high-inoculated raspberries stored at 4 °C. Results suggest that while L. monocytogenes does not grow, blueberries and raspberries support survival during refrigerated and frozen storage, emphasizing the need for stringent pre- and postharvest practices to limit contamination. Full article

Nutritional immunity is a major facet of host defense, wherein the host immune system strategically limits pathogen access to critical nutrients, including iron, zinc, vitamins, lipids, and amino acids, to repress microbial proliferation and virulence. This review provides a comprehensive synthesis of the molecular mechanisms that power nutrient immunity, including metal homeostasis, nutrient competition, transporter modulation, hormonal regulation, and direct antimicrobial actions. We examine nutrient-specific strategies employed by the host, such as iron-withholding mechanisms, vitamin deprivation, and copper-mediated toxicity. We also explore how diverse pathogens, including extracellular, intracellular, and eukaryotic pathogens, adapt to these hostile nutritional landscapes through siderophore diversification, regulatory integration, and metabolic rewiring. Comparative genomic analyses reveal convergent evolution in nutrient acquisition systems, illuminating the dynamic arms race between host restriction and microbial evasion. We examine the immunological mechanisms that regulate nutritional immunity. Further, we discuss the translational potential of nutritional immunity, cutting across nutrient-based therapies, host-directed interventions, and emerging diagnostic biomarkers. Finally, we suggest future directions that synergize nutritional immunity with microbiome ecology, global malnutrition, and personalized medicine. By elucidating the interconnection between metabolism and immunity, this review highlights the therapeutic promise of starving or toxifying the pathogen to save the host. Full article

Navigation line extraction is essential for visual navigation in agricultural machinery, yet existing methods often perform poorly in complex environments due to challenges such as weed interference, broken crop rows, and leaf adhesion. To enhance the accuracy and robustness of crop row centerline identification, this study proposes an improved segmentation model based on SegNeXt with integrated adaptive region of interest (ROI) extraction for multi-growth-stage maize row perception. Improvements include constructing a Local module via pooling layers to refine contour features of seedling rows and enhance complementary information across feature maps. A multi-scale fusion attention (MFA) is also designed for adaptive weighted fusion during decoding, improving detail representation and generalization. Additionally, Focal Loss is introduced to mitigate background dominance and strengthen learning from sparse positive samples. An adaptive ROI extraction method was also developed to dynamically focus on navigable regions, thereby improving efficiency and localization accuracy. The outcomes revealed that the proposed model achieves a segmentation accuracy of 95.13% and an IoU of 93.86%. The experimental results show that the proposed algorithm achieves a processing speed of 27 frames per second (fps) on GPU and 16.8 fps on an embedded Jetson TX2 platform. This performance meets the real-time requirements for agricultural machinery operations. This study offers an efficient and reliable perception solution for vision-based navigation in maize fields. Full article

This paper describes Alaska Native youth-identified community strengths that support young people’s well-being. Youth from three rural Alaska communities were engaged by the research team in digital storytelling and photovoice to explore their perspectives on what their communities were already undertaking to support youth. Each youth participant was then invited to complete an interview, which was then transcribed, coded, and qualitatively analyzed by the research team leads. The community strengths described by young people align with several community-level protective factors identified in a parent study as associated with reduced risk of youth suicide. Findings illustrate that protective communities help young people build and maintain supportive relationships with community members, family, and peers, and promote their connection to their culture, including by providing opportunities to learn their language, history, and culture; to be out on the land hunting and fishing; and to practice traditional ceremonies and spirituality. Communities implementing initiatives that support these factors may protect young people from youth suicide. Full article