Search Results (5,514)

West Nile virus (WNV) remains the most frequently reported locally acquired arboviral infection in the United States, yet many small and mid-sized mosquito abatement districts lack the diagnostic capacity and integrated data systems needed for rapid detection and response. The Canyon County Mosquito Abatement District (CCMAD) in southwestern Idaho undertook a multi-year capacity-building effort to expand arbovirus surveillance, standardize mosquito identification and pooling procedures, and implement triplex RT-qPCR testing for WNV, Western equine encephalitis virus (WEEV), and St. Louis encephalitis virus (SLEV). Historical trapping datasets (2021–2025) were consolidated, geospatially harmonized, and grouped into biologically meaningful sampling units to enable multi-year spatial comparisons. Surveillance revealed recurrent WNV activity annually, with peak transmission occurring between epidemiological weeks 31 and 37. The highest WNV activity occurred in 2023 and 2025, with 192 and 92 positive pools, respectively, while no WEEV or SLEV detections were observed. Enhanced laboratory capacity reduced sample-processing times, decreased the reliance on external confirmatory testing, lowered per-pool testing costs, and enabled same-day reporting to operational staff. In 2025, routine gravid trap surveillance detected a single Aedes aegypti, which was identified morphologically and subsequently confirmed by DNA barcoding, prompting targeted follow-up trapping. CCMAD’s integrated approach provides a scalable model for strengthening local surveillance and response capabilities in resource-limited settings. Full article

Background: Temporomandibular disorders (TMDs) are multifactorial conditions frequently encountered in orthodontic practice, and the independent associations of occlusal and structural variables remain unclear. This case–control study constructed a multivariable model integrating clinical, cephalometric, panoramic, and functional variables to examine their associations with TMD, diagnosed according to the DC/TMD Axis I protocol. Fifty patients with TMD and 50 non-TMD controls were consecutively recruited between October 2024 and December 2025. Occlusal characteristics, lateral cephalometric measurements, and Kjellberg panoramic symmetry indices (SI1/SI2) were assessed using standardized protocols. Candidate variables were initially explored using univariable analyses with false discovery rate adjustment, followed by multivariable Firth penalized logistic regression to reduce small-sample bias and separation. Mandibular deflection (OR = 3.57, 95% CI 1.54–9.09) and deviation (OR = 4.35, 95% CI 1.69–12.50) demonstrated the strongest independent associations with TMD, while SI1 asymmetry (<90%) became significant after multivariable adjustment (OR = 3.57, 95% CI 1.08–14.29). The final model showed apparent discrimination within the study sample (AUC = 0.822; 95% CI: 0.742–0.902). However, this value was calculated using the same dataset and should not be interpreted as validated model performance or compared to other studies. The observed SI1 effect should be interpreted cautiously, as it may reflect model instability due to the relatively small sample size. Within the limitations of this case–control design, functional disturbances showed stronger associations with TMD than static structural variables; however, external validation is required before clinical application. Full article

Background/Objectives: This study aimed to assess the feasibility and acceptability of a 3-month health coaching intervention to promote PNF and healthy diet for men on ADT for PCa. Methods: The study was carried out via a two-armed randomized controlled trial including 40 patients with PCa at a medical center in Philadelphia. During the 3-month period, the intervention group (PNF+) received health coaching utilizing an interactive text message system, and the control group received healthy eating text messages for the same duration. The outcome variables were feasibility and acceptability. Results: The PNF+ group (n = 27) had high adherence to health coaching (82%), picture response (85%) and moderate adherence to the PNF window (69%). The intervention was rated highly acceptable with no reported A/E associated with the intervention, and most participants planning to continue in some capacity. At 3 months, the PNF+ group had numerically lower BMI (29.1) and body weight (195.2 lbs) compared to the control group (n = 13; BMI 31.6, weight 223.3 lbs). Improvements in patient-reported outcomes were observed in both groups. FACIT-F scores (higher scores indicate less fatigue) increased in the PNF+ group (43.6 to 45.2) and in the control group (42.5 to 45.5). FACT-P scores (higher scores indicate better quality of life) increased in the PNF+ group (121.3 to 125.5) but decreased slightly in the control group (121.1 to 119.8). Between-group comparisons of change from baseline showed no statistically significant differences across outcomes (all p > 0.05). Conclusions: The intervention demonstrated partial feasibility and high acceptability. It was associated with numerically lower BMI and body weight and favorable changes in patient-reported outcomes, particularly quality of life; however, no statistically significant differences were observed between groups. These findings should be interpreted cautiously given the small sample size and require confirmation in larger, adequately powered trials. Full article

The global expansion of tree plantations has led to extensive fragmentation of natural forests, posing significant challenges for biodiversity conservation. Understanding the diversity patterns and underlying mechanisms of ground-dwelling insects in these fragmented landscapes is critical to inform effective conservation strategies. To address this, we sampled ground-dwelling insects using pitfall traps across nine remnant natural forest fragments (“islands”) embedded within a tree plantation matrix in Guangxi, China. We examined insect family-level diversity and community composition in relation to fragment isolation (low vs. high) and size (large vs. small) and explored the mechanisms driving the observed patterns. Our results revealed no significant difference in ground-dwelling insect diversity between low-isolation and high-isolation fragments. However, diversity was significantly lower in smaller fragments compared to larger ones. This reduction was primarily driven by decreased seedling density within smaller fragments, directly reflecting the adverse effects of plantation-driven fragmentation on native seedling establishment. Furthermore, we observed noble shifts in community composition of ground-dwelling insects along both fragment isolation and size gradients. Highly isolated fragments exhibited a decline in phytophagous insects and omnivores (with detritivore-herbivore diets), but an increase in detritivores. Smaller fragments exhibited consistent declines across multiple insect taxa spanning various dietary guilds. The observed changes in ground-dwelling insect composition were driven by shifts in plant (especially seedling) community composition. Our findings reveal a clear cascading effect: plantation-driven fragmentation limits native plant regeneration, and these limitations subsequently propagate to higher trophic levels, profoundly impacting ground-dwelling insects. Effective restoration of plantation-fragmented landscapes requires strategies that both prioritize the preservation of large, continuous forest fragments and promote native seedling recruitment within existing fragments. Full article

This study systematically investigated the dynamic diversity, potential sources, and antifungal activities of small molecular peptides during the pile-fermentation process of post-fermented tea. By analyzing the damaging effects of small molecular peptide extracts from tea samples at different pile-fermentation stages on the spore cell membranes of Aspergillus carbonarius (A. carbonarius) and the inhibitory activity against β-1,3-glucan synthase (β-1,3-GS), it was confirmed that some small molecular peptides exhibit significant antifungal effects. The main findings are as follows: (1) The number of identified small molecular peptides showed a trend of first increasing and then decreasing with the progress of pile-fermentation, peaking at 4453 species on the 35th day of pile-fermentation, and were dominated by hexapeptides and heptapeptides with molecular weights ranging from 600 to 800 Da. (2) Based on orthogonal partial least squares discriminant analysis (OPLS-DA), the samples were divided into three characteristic stages according to the differences in small molecular peptide composition at different stages, and 156 characteristic peptides with a relative abundance higher than 0.1% were screened out. Their precursor proteins were derived from 148 proteins belonging to 16 genera, including Camellia, Aspergillus, Saccharomyces, Penicillium, and Bacillus. (3) BLAST alignment results showed that five out of the 156 characteristic peptides were degradation fragments of known antifungal peptides originating from Aspergillus and Bacillus. (4) Combining molecular docking screening and in vitro verification of synthetic peptides, a total of 27 small molecular peptides with antifungal activity were obtained, and their mechanism of action was the inhibition of β-1,3-GS activity. (5) The small molecular peptides related to antifungal activity could be classified into two categories: enzymatic hydrolysates of known antifungal peptides, and the enzymatic hydrolysates of tea-derived proteins or macromolecular peptides. Both categories were mainly distributed in the three stages of pile-fermentation, and there was a significant positive correlation among the population size of dominant microorganisms, microbial peptidase activity, and the abundance of small molecular peptides. This study reveals the dynamic generation pattern and antifungal potential of small molecular peptides during the pile-fermentation of post-fermented tea, providing a new scientific basis for evaluating the dynamic changes in microbial communities in tea and effectively controlling the contamination of harmful fungi during the pile-fermentation process. Full article

Background: Severe burn injuries are associated with prolonged consequent wound healing, substantial symptoms burden, and delayed, sometimes incomplete, functional recovery. Photobiomodulation using Multiwave Locked System (MLS) LASER therapy has been proposed as an adjunctive intervention to support tissue repair and thereby improve rehabilitation outcomes, but related clinical evidence in burn populations remains limited. Materials and Methods: This comparative study included 65 patients with severe burn injuries, of whom 35 were prospectively treated with adjunctive MLS LASER therapy, in addition to standard care, and 30 retrospectively identified patients, who received standard care alone, served as controls. The primary outcome was the time until complete epithelialization, while secondary outcomes included: reduction in wound surface, pain intensity, pruritus severity, scar quality, and functional improvements. Assessments were performed at baseline and after a standardized follow-up period of up to 20 days. Results: Patients treated with MLS LASER therapy achieved complete epithelialization significantly earlier than controls (median 40 vs. 73 days, p < 0.001) and demonstrated greater wound area reduction (median 434 vs. 137 cm², p = 0.0012). In multivariable analyses adjusted for burn extent, burn depth, age, and diabetes mellitus, considered as factors worsening evolution, MLS LASER therapy remained independently associated with shorter time to epithelialization and greater reduction in wound dimension. Significant improvements favoring the MLS group were also observed regarding pain, pruritus, scar quality, and functional outcomes, all assessed using specific evaluation tools (p < 0.001). Conclusions: Adjunctive MLS LASER therapy appears to be associated with improved wound healing dynamics and enhanced rehabilitation outcomes in patients with severe burn injuries. These findings should be interpreted with caution given the study limitations, including the non-randomized design and relatively small sample size. MLS LASER therapy may represent a promising adjunctive option in the conservative management of burn injuries; however, further prospective randomized studies are required to confirm these results and to define optimal treatment protocols. Full article

Background: The Global Positioning System (GPS) and wearable monitoring technologies are increasingly applied in sport science to quantify training load; however, data from female cross-country skiers in nations with emerging competitive programs remain scarce. This case series covering the complete national team roster analyzed the complete annual training cycle of the Korean women’s national cross-country skiing team (KCF) using GPS and heart rate-based wearable sensors. Methods: All three national team members were monitored throughout the 2022–2023 season (52 weeks), structured into General Preparation Period 1 (April–July), General Preparation Period 2 (August–November), and Competition Period (December–March). Individualized five-zone intensity thresholds were established through graded exercise testing on a roller ski treadmill with ventilatory threshold and blood lactate determination, independently assessed by two exercise physiologists (PhD level). Results: The total annual training volume was 667.72 h, comprising roller/on-snow skiing (54.0%), running (23.3%), and strength training (22.7%). The endurance-only intensity distribution demonstrated a polarized pattern (Zones 1–2: 91.5%). The total annual training distance reached 4673.30 km. The mean FIS points were 108.46 ± 38.60, and the mean VO₂max was 60.17 ± 6.11 mL·kg⁻¹·min⁻¹. Conclusions: When benchmarked against world-class female (WCF) standards (800–950 h annually), the overall training volume was approximately 18–30% lower. The relative strength training allocation (22.7%) exceeded typical WCF values (10–15%). These observations should be interpreted cautiously given the small sample size and cross-study comparison design, using published literature-based benchmarks. Full article

This study examined temporal scalp electroencephalography (EEG) absolute power and brief self-reported psychological state measures before and after participation in a Life Story Program (LSP) in older adults. Five older women participated in the study. For each participant, pre- and post-assessments were scheduled at approximately the same time of day and included a brief four-item questionnaire and biosignal acquisition in a controlled seated environment. EEG was recorded at 500 Hz from T5 and T6 during an eyes-closed resting condition. For EEG analysis, only non-speaking segments were used; the initial 3–5 min stabilization period was excluded, and the subsequent 10 min of data were analyzed. One participant was excluded after outlier screening, resulting in a final EEG sample of four participants. EEG preprocessing included linear detrending, 60 Hz notch filtering, 0.5–50 Hz band-pass filtering, artifact rejection, and Welch-based estimation of absolute power in the delta, theta, alpha, beta, and gamma bands. Given the small sample size, all analyses were treated as exploratory. Questionnaire responses remained generally stable across assessments. No statistically significant pre–post differences were observed after false discovery rate correction, although small reductions, particularly in the gamma band, were observed. These findings should be interpreted as preliminary observations requiring confirmation in larger controlled studies with broader multichannel EEG coverage and more robust recording configurations. Full article

Introduction: Chronic obstructive pulmonary disease (COPD) is associated with substantial symptom burden and functional limitations, which may co-occur with psychological distress. This pilot study aimed to assess depressive symptoms, anxiety, insomnia, and sexual quality of life in patients with COPD living in the Podlaskie Voivodeship. Materials and Methods: This cross-sectional pilot study included 47 patients with COPD, including outpatients (n = 11) and inpatients (n = 36), recruited at the University Teaching Hospital in Bialystok between February and August 2025. The original survey questionnaire, Beck Depression Inventory (BDI), Hamilton Anxiety Rating Scale (HAM-A), Generalized Anxiety Disorder-7 (GAD-7), Athens Insomnia Scale (AIS), Insomnia Severity Index (ISI), and Sexual Quality of Life (SQoL) questionnaires were used. Results: In the study sample, median scores indicated a considerable burden of depressive symptoms (BDI Me = 16), anxiety (HAM-A Me = 27; GAD-7 Me = 15), and insomnia (AIS Me = 9; ISI Me = 14), alongside reduced sexual quality of life (SQoL Me = 46). Age in the total sample correlated positively with depressive symptoms, anxiety, and sleep difficulties, and negatively with SQoL; however, these relationships were not consistently maintained in age-stratified analyses. Crude inpatient–outpatient differences were substantial, but supplementary adjusted models showed that subjective symptom severity was the most consistent predictor across outcomes, whereas the independent role of hospitalization status was attenuated. Strong associations were observed between depression, anxiety, insomnia, and sexual quality of life. Conclusions: This pilot study indicates a substantial within-sample psychological burden in patients with COPD and suggests that these outcomes are closely associated with subjective symptom burden. Given the small sample size, marked group imbalance, cross-sectional design, and lack of objective COPD severity measures, the findings should be interpreted as exploratory and require confirmation in larger multicenter studies. Full article

Background: Sinonasal mucosal melanoma (SNMM) is a rare aggressive malignancy often resected with postoperative irradiation, with some evidence supporting the use of immune checkpoint inhibitors (ICIs). This study explores the potential efficacy and safety of nivolumab in 16 patients with SNMM, and reviews the literature of ICI use in it. Methods: We retrospectively analyzed 16 patients who had pathologically confirmed SNMM treated at Gifu University Hospital over a 14-year period between 2010 and 2024, of whom 11 received nivolumab. Clinical characteristics, treatment modalities, immune-related adverse events (irAEs), progression-free survival (PFS), and overall survival (OS) were examined. Kaplan–Meier and log-rank tests were used for survival analysis. A comprehensive literature review was done regarding ICI in SNMM. Results: Among the 16 patients, 11 received nivolumab and five did not. The nivolumab group showed longer median survival (median OS 26 mo vs. 8 mo; p = 0.00056) and a median PFS of 13 mo vs. 3 mo, p = 0.00175. In recurrent cases, nivolumab was associated with longer median OS (23 mo vs. 9 mo, p = 0.015) and PFS (11 mo vs. 3 mo, p = 0.019). irAEs occurred in four out of eleven of these cases, leading to nivolumab discontinuation; however, three of these four patients maintained durable disease control. A literature review identified generally favorable outcomes for ICIs in SNMM, although results were varied due to small sample sizes and heterogeneous treatment settings. Conclusions: Nivolumab was associated with longer survival in this small cohort in patients with SNMM, including those who discontinued therapy due to irAEs. Our data supports recent meta-analyses demonstrating a benefit of ICIs in SNMM. Full article

This paper investigates frequentist prediction methods for the Burr X distribution under Type II censored data. To address the challenges of small sample sizes and high censoring rates commonly encountered in survival analysis, we derive four point prediction methods: best unbiased prediction (BUP), maximum likelihood prediction (MLP), conditional median prediction (CMP), and median unbiased prediction (MUP). For interval prediction, we examine four approaches—the pivotal method, the Wald method, the highest conditional density (HCD) method, and the shortest-length method to construct prediction intervals. The finite-sample performance of these methods is evaluated through Monte Carlo simulations and illustrated using three real-world datasets. The results demonstrate that CMP provides the most stable point predictions, with its advantage being particularly pronounced in small samples due to the conditional median’s robustness to extreme values. For interval prediction, the pivotal method yields the most consistently reliable coverage. The shortest-length method exhibits high accuracy and efficiency. Analyses of three real datasets further validate the applicability of these methods to both complete and right-censored data. Full article

This study addresses the instability of statistical modeling for small-sample maximum friction torque data under multiple temperature conditions. Within the Weibull distribution framework, a sample-aggregation method is proposed, and a unified modeling scheme separating central tendency from dispersion structure is established. This approach enables equivalent aggregation of data across different temperature levels while preserving structural consistency, thereby improving parameter estimation stability and statistical efficiency. To overcome the tendency of single-criterion optimization to fall into local optima under small-sample conditions, a secondary identification criterion combining residual minimization with a Levene-based statistical consistency test is introduced, and a dual-level search strategy is used to obtain a more robust global optimal solution. The parameter estimation results indicate that direct estimation based on small samples produces unstable parameters, with the coefficient of variation of the shape parameter reaching approximately 7.4%. In contrast, the sample-aggregation method shows that the scale parameter increases with temperature, while the location parameter first decreases and then increases due to the combined influence of central tendency and dispersion. The parameters obtained by the aggregation method exhibit more stable and regular variation trends with temperature. The results demonstrate that the proposed method significantly improves parameter stability and statistical efficiency for small-sample maximum friction torque data and provides a practical statistical modeling approach for multi-condition small-sample engineering data. Full article

Background/Objectives: Delayed graft function (DGF) remains a common early complication after deceased donor kidney transplantation and is challenging to anticipate using routine pre-implant clinical variables alone. We investigated whether high-throughput Fourier transform infrared (FTIR) spectroscopy of static cold storage preservation fluid (not machine perfusion perfusate) captures biochemical information associated with DGF and warrants further evaluation alongside routine pre-implant clinical predictors. Methods: In this single-center retrospective cohort, we analyzed preservation fluid samples from 56 kidney transplants originating from 49 deceased donors (7 donors contributed two kidneys); DGF occurred in 14/56 (25.0%). Dried-film FTIR spectra were acquired using a plate-based high-throughput accessory, and analyses focused on the fingerprint region (900–1800 cm⁻¹) with prespecified preprocessing and quality control. We developed and compared clinical-only, FTIR-only, and combined predictive models and estimated performance using donor-blinded 5-fold StratifiedGroupKFold cross-validation (grouped by donor code) to prevent leakage across paired kidneys. Results: Donor-blinded discrimination (pooled out-of-fold ROC-AUC) was 0.775 for the clinical-only model, 0.814 for the FTIR-only model, and 0.796 for the combined model; probabilistic accuracy (Brier score; lower is better) was 0.162, 0.194, and 0.177, respectively. Calibration intercepts were negative and slopes were <1, indicating overly extreme risk estimates under strict donor-blinded validation and supporting recalibration prior to deployment. Decision curve analysis suggested a positive net benefit for clinically plausible thresholds. Conclusions: These findings support the feasibility of rapid, low-cost FTIR profiling of routinely available preservation fluid as a proof-of-concept approach for exploratory DGF risk stratification, rather than as a clinically deployable prediction tool. Given the small sample size and the instability of subgroup estimates, the main next steps are external validation in larger multicenter cohorts, prospective workflow studies, and model updating/recalibration. Full article

Antimicrobial resistance (AMR) is a silently escalating global crisis, presenting a specific challenge for the One Health approach. Landscapes can serve as reservoirs of AMR bacteria and genes, while synurban wildlife may act as vectors of bidirectional exchange. However, these species can also be utilised as sentinels of landscape AMR load. Herbivorous avian bioindicators, such as the Common Wood Pigeon (Columba palumbus), continuously sample the landscape during foraging and drinking, providing a homogenous spatial overview on the state of AMR. This study aimed to investigate the potential of this species for assessing the impact of landscape diversity on bacterial communities and their AMR patterns. Toward this objective, two spatial units of 4 km in diameter located at an upstream and a downstream section of a river, relative to a provincial town, were compared using 16 cloacal samples per site. Heterotrophic plate count techniques resulted in 60 isolates, of which 48 were identified, and 35 were tested for AMR using the VITEK 2 Compact system. The association between bacteriological findings and landscape diversity was analysed using Rényi diversity profiles. The Gram-positive/Gram-negative ratio was the only parameter that proved to be significantly different between the two study sites. The investigation detected six MDR isolates, with two methicillin-resistant phenotypes (Staphylococcus gallinarum, Mammaliicoccus lentus) and two carbapenem-resistant Pseudomonas fluorescens isolates. We established that the small sample size limits drawing definitive conclusions. However, exploring the link between landscape diversity and the cultivable faecal microbiota of herbivorous birds is a promising approach for more extensive research. Full article

Parasitoid wasps play a fundamental role in the biological control of pests. However, their morphological identification may be limited due to their small size and the high morphological similarity between species. Our objective was to identify specific genomic variants of the target species Palmistichus elaeisis Delvare & LaSalle, 1993, Tetrastichus howardi (Olliff, 1893), Trichospilus diatraeae Cherian & Margabandhu, 1942, and Trichogramma pretiosum Riley, 1879, (Hymenoptera: Chalcidoidea) by whole-genomic sequencing. Parasitoids were collected from their hosts and established in the laboratory after adult emergence. A sample of each parasitoid was sent to the Departamento de Ciências Biológicas at Universidade Federal do Espírito Santo (UFES) and “Oscar Monte” Entomophagous Insect Collection for morphological identification. Subsequently, samples composed of 20 individuals were preserved in absolute ethanol for DNA extraction. The DNA was extracted, quantified and sequenced on the Illumina Novaseq 6000 platform. Bioinformatic tools were used for quality control, detection of specific genomic variants, principal component analysis (PCA), and support vector machine (SVM). Genomic sequencing generated high-quality data for the analyzed parasitoids, allowing the identification of four specific variants for P. elaeisis, two for Te. howardi, four for Ts. diatraeae and five for Tg. pretiosum. These results provide a precise molecular tool for distinguishing parasitoids used in biological control programs. Full article