bluuebunny/crossref_metadata_2025_split huggingface dataset:
Brain Tumors Classification in MRIs Based on Personalized Federated Distillation Learning With Similarity‐Preserving
Authors: Wu Bo , Shi Donghui , Aguilar Jose 
Published: February 2025

ABSTRACTOwing to legal restrictions and privacy preservation, it is impractical to consolidate medical data across multiple regions for model training, leading to difficulties in data sharing. Federated learning (FL) methods present a solution to this issue. However, traditional FL encounters difficulties in handling non‐independent identically distributed (Non‐IID) data, where the data distribution across clients is heterogeneous and not uniformly distributed. Although personalized federated learning (PFL) can tackle the Non‐IID issue, it has drawbacks such as lower accuracy rates or high memory usage. Furthermore, knowledge‐distillation‐based PFL exhibits shortcomings in model learning capabilities. In this study, we propose FedSPD, a novel federated learning framework that integrates similarity‐preserving knowledge distillation to bridge the gap between global knowledge and local models. FedSPD reduces discrepancies by aligning feature representations through cosine similarity at the feature level, enabling local models to assimilate global knowledge while preserving personalized characteristics. This approach enhances model performance in heterogeneous environments while mitigating privacy risks by sharing only averaged logits, in line with stringent medical data security requirements. Extensive experiments were conducted on three datasets: MNIST, CIFAR‐10, and brain tumor MRI, comparing FedSPD with nine state‐of‐the‐art FL and PFL algorithms. On general datasets, under the IID setting, FedSPD achieved performance comparable to existing methods. In Non‐IID scenarios, we employed the Dirichlet distribution to control the data distribution across clients, allowing us to model and assess non‐uniform data partitions in our FL settings. FedSPD demonstrated exceptional performance, with accuracy improvements of up to 77.77% over traditional FL methods and up to 4.19% over PFL methods. On the brain tumor MRI dataset, FedSPD outperformed most algorithms under the IID condition. In Non‐IID settings, it exhibited even greater advantages, with accuracy improvements of up to 78.41% over traditional FL methods and up to 10.55% over PFL methods. Additionally, FedSPD significantly reduced computational overhead, shortening each training round by up to 67.25% compared to other PFL methods and reducing parameter size by up to 49.34%, thereby improving scalability and efficiency. By effectively integrating global and personalized features, FedSPD not only enhanced model generalization across heterogeneous medical datasets but also strengthened clinical decision‐making, contributing to more accurate diagnoses and better patient prognosis. This scalable and privacy‐preserving solution meets the practical demands of healthcare applications.
Sarcopenia and Insulin Resistance Collective Effect on Atrial Fibrillation Risk: A Non‐Diabetic Elderly Cohort Study
Authors: Liu Weike , Wang Xin , Guo Yuqi , Gao Yumei , Song Huajing , Yao Yanli , Zhang Hua , Liu Zhendong , Wang Juan 
Published: February 2025

ABSTRACTBackgroundAppendicular skeletal muscle mass index (ASMI), a crucial indicator of sarcopenia and estimated glucose disposal rate (eGDR), a surrogate marker of insulin resistance (IR), are associated with the risk of cardiovascular diseases. However, it remains unclear whether the collective effects, including the impact of the temporal progression of ASMI and eGDR, affect atrial fibrillation (AF) risk. This study aims to elucidate the association between the collective effects of ASMI and eGDR and AF risk in the non‐diabetic older population.MethodsA total of 8060 non‐diabetic older individuals from a community‐based cohort study were used to prospectively analyse the association between the collective effects of baseline ASMI and eGDR and AF risk. Among them, 7651 were eligible and used for dual‐trajectory analysis of the association between dual trajectory of ASMI and eGDR and AF risk. The temporal development of ASMI and eGDR over time was determined using a dual‐trajectory model. Statistical analyses involved restricted cubic splines and Fine–Gray competing risk models, adjusting for potential confounders.ResultsIn the prospective analysis, the hazard ratio (HR) of AF was 1.762 (95% confidence interval [CI]: 1.528–2.032) in the low ASMI group compared to the normal ASMI group in total participants. Restricted cubic splines analysis demonstrated L‐shaped associations between AF risk and ASMI and eGDR, with inflection points at 7.23 kg/m2 and 7.85 mg/kg/min, respectively. Low ASMI and moderate and low eGDR exhibited a significant interplay for increasing AF risk (HR: 1.290 and 1.666, 95% CI: 1.136–1.464 and 1.492–1.861, respectively, padj. < 0.001). One‐SD increment ASMI and eGDR synergistically reduced AF risk (HR: 0.896, 95% CI: 0.839–0.957, padj. < 0.001). In the dual‐trajectory analysis for total participants, five distinct dual trajectories of ASMI and eGDR were identified. Group 4, characterized by moderate‐stable ASMI and moderate‐stable eGDR, exhibited the lowest incidence of AF (7.03 per 1000 person‐years) and was used as a reference for further analyses. Group 1, characterized by high‐decrease ASMI and high‐decrease eGDR, had the highest AF risk (HR: 2.255, 95% CI: 1.769–2.876, padj. < 0.001), followed by Group 5, with high‐decrease ASMI and low‐stable eGDR (HR: 1.893, 95% CI: 1.491–2.403, padj. < 0.001) when compared to Group 4 after adjustment for potential confounders including baseline ASMI and eGDR.ConclusionsThe collective effects of ASMI and eGDR are significantly associated with AF risk in the non‐diabetic older population. Collective management of skeletal muscle mass and IR might be a useful and effective management strategy for preventing and controlling AF.
Differentiate Between Angioedema From Cellulitis in Pediatric Patients With Periorbital Swelling on Point‐of‐Care Ultrasound
Authors: Tay Ee Tein , Tsung James W. , Lin Yue Jay , Sanders Jennifer E. 
Published: February 2025

ABSTRACTPurposeThis study evaluated the use of point‐of‐care (POCUS) to differentiate between angioedema and cellulitis in pediatric patients who presented to the emergency department (ED) with periorbital swelling from suspected insect bites.MethodsSubanalysis of patients under 21 years old with periorbital swelling from suspected insect bites was performed in patients presenting to the ED. Participating physicians received hands‐on soft tissue ultrasound training prior to study enrollment. Pre‐ and post‐POCUS diagnoses and findings, disposition, ED discharge diagnosis, additional imaging studies, and treatment medications were recorded. Patients received telephone follow‐up 1 week after the visit.ResultsTwenty‐three subjects were enrolled. Twenty (86.9%) cases had a pre‐POCUS diagnosis of allergic skin reaction, one (4.3%) had cellulitis, and two (8.7%) were undetermined. After POCUS, providers changed diagnoses and treatment management on five (21.7%) patients. Ultrasound features of linear bands were identified in 22 ultrasound images suggesting angioedema. No patients received further imaging or were admitted for hospitalization.ConclusionsPOCUS may serve as an adjunct tool in differentiating between cellulitis and angioedema in patients with periorbital swelling from local allergic skin reactions from insect bites and decreasing unnecessary imaging studies and hospital admissions.
Controls of Climate and Catchment Behaviour on Runoff Response Across Large‐Scale Sample
Authors: Mingjuan Yang , Zhanlong Gong , Tao Pang 
Published: February 2025

ABSTRACTRecent research has extensively examined the response of runoff to climate change. However, the physical mechanisms underlying runoff responses in changing climate conditions remain poorly understood. To address this gap, this study uses measured streamflow and meteorological data from the public GAGES‐II database to investigate the physical controls influencing runoff responses to climate and catchment behaviour across more than 1000 catchments in the contiguous United States. Eighteen flow signatures and 56 indicators related to catchment attributes were analysed and grouped using a hierarchical clustering method, resulting in the classification of the 1000+ catchments into ten clusters, each with distinct characteristics. Within each cluster, we explored the patterns of runoff response, focusing on runoff changes and sensitivity for each flow signature and catchment attribute. Our findings indicate that flow signatures such as runoff ratio, annual runoff, and the 95th percentile runoff significantly affect total runoff changes. Evapotranspiration displays a trade‐off relationship with overall runoff changes but shows a synergistic relationship with Richard Baker's rapid runoff. Furthermore, the runoff changes driven by catchment attributes align with the total changes, suggesting that catchment behaviour predominantly influences runoff generation processes. Climate factors tend to exert greater influence in arid and semi‐arid catchments.
Climatological Analysis of Variability in Snow Cover Features Across Iran During 1981–2022
Authors: Sadeghi Marzieh , Asakereh Hossein , Darand Mohammad 
Published: February 2025

ABSTRACTThe present study aimed to conduct a climatological analysis of snow cover variability in Iran using daily snow cover data collected from meteorological stations between 1 January 1981, and 31 December 2022. Stations were selected based on the criterion of having at least one day of snowfall over 1 cm in depth during the study period. The analysis focused on nine key indices: First snow cover day (FSC), last snow cover day (LSC), snow cover duration (SCD), mean duration of continuous snow cover (SCDmean), maximum duration of continuous snow cover (SCDmax), snow‐free days (SFD), snow spell duration index (SSDI), number of snow cover events (NSC) and depth of snow cover (DSC). The temporal analysis revealed substantial variability in the FSC, ranging from October 10th in regions above 2000 m in the northwest to January 30th along the Iranian coast of the Caspian Sea. The LSC also varied from January 20 to April 20 in the low‐elevation regions of the Zagros in the south to April 20 in the Alborz in the North. Moreover, the SCD was over 160 days a year in the Alborz mountain in the north. Spatial analysis indicated a significant correlation between snow cover indices and elevation, longitude and latitude in Iran's mountainous regions. Results indicated a notable increase in FSC in most parts of the country, alongside a decreasing trend in LSC. On average, FSC advanced by 2 days per decade towards winter, while LSC shifted approximately −0.82 days per decade towards winter. Additionally, SCD, NSC, DSC and SSDI exhibited decreasing trends while SFD increased.
Factors influencing daily nest survival rates of Aleutian terns in the Kodiak Archipelago, Alaska
Authors: Tengeres Jill E. , Dugger Katie M. , Corcoran Robin M. , Lyons Donald E. 
Published: February 2025

AbstractThe Aleutian tern (Onychoprion aleuticus) is a species of high conservation concern in Alaska, USA, owing to large declines at known breeding locations since the 1960s. The small population size and ephemeral behavior of this species have limited the collection of basic biological information and hindered the identification of potential drivers of this decline. Significant unknowns include the factors, and their relative importance, influencing nest survival. To investigate these questions, we estimated daily nest survival (DNS) for 148 nests from 5 breeding colonies during 2017 to 2020 in the Kodiak Archipelago, Alaska with 105 monitored using remote cameras. We used the nest survival model in program MARK to estimate DNS rates as a function of colony location, year, within‐season time trends, vegetation cover and height, and 6 daily weather covariates. Our top model suggested that DNS rates increased with vegetation height, decreased as the season progressed, and included a significant interaction between year and colony. Average nest success (i.e., percent chance that a nest survived to hatch) over the 22‐day incubation period varied by colony but was generally very low, averaging 1.2% (95% CI = 0–11%) in 2017–2018 to 14% (95% CI = 0.1–38%) in 2019–2020 across all colonies. The importance of year in the model suggests that a large‐scale annual driver, like food availability, may have played an important role in this species' breeding success. A severe marine heatwave was present in the Gulf of Alaska during 2014–2016 and our results suggest that some effects of this anomalous event, such as reduced prey availability, lingered even after temperatures returned to normal. Additionally, the variation in DNS across colony locations indicated that local factors, such as predation pressure, may also drive significant variation in Aleutian tern productivity. These findings suggest that a combination of local factors and climate change may be important drivers of the >90% decline in Alaska's breeding population of Aleutian terns.
Detection and Partial Characterization of Polerovirus and Luteovirus Isolates Associated With Lentil and Chickpea in Ethiopia
Authors: Ademe Anteneh , Kumari Safaa G. , Moukahel Abdulrahman , Alemu Tesfaye , Abraham Adane , Aynewa Yetsedaw , Guadie Demsachew , Ahmed Seid 
Published: February 2025

ABSTRACTThe partial nucleotide sequence of the coat protein (CP) gene of Ethiopian isolates of chickpea chlorotic stunt virus (CpCSV, genus Polerovirus), beet western yellows virus (BWYV, genus Polerovirus), and soybean dwarf virus (SbDV, genus Luteovirus) was determined from lentil and chickpea plants showing yellowing, stunting, and reddening symptoms. Comparative sequence analysis of CpCSV isolates obtained from five chickpea and five lentil isolates showed 94.9%–100% and 91.9%–98.7% nucleotide sequence identity with each other and with the reference isolates, respectively. One CpCSV isolate from chickpea (MZ043728) showed a close relationship with isolates of the serotype II while the remaining nine isolates were closely related to isolates belonging to serotype I. Sequence identities of three chickpea BWYV isolates varied from 93.3% to 100% with the reference isolates, and one of them (MZ043727) displayed 100% nucleotide identity with previously reported lentil stunt virus (LStV, genus Polerovirus). The chickpea isolates MZ043725 and MZ043726 appear to be identical to each other, whereas the other isolate (MZ043727) was identical to previously identified LStV isolate. The nucleotide sequence of three Ethiopian SbDV isolates had a lower identity with GenBank isolates and their phylogenetic analysis showed that they are clustered separately from the rest of the reference isolates indicating that they are the most divergent. This result generates essential information for further research on legume viruses in Ethiopia. In addition, a detailed study should be conducted in the future to understand the prevalence of LStV and determine the potential yield losses associated with the virus in Ethiopia.
Global existence of mild solutions for 3D stochastic Boussinesq system in Besov spaces
Authors: Sun Jinyi , Li Ning , Yang Minghua 
Published: February 2025

AbstractThe paper is concerned with the three‐dimensional stochastic Boussinesq system driven by an additive white noise, describing the motion of viscous incompressible fluids with density stratification phenomenon in the rotational framework. By striking new balances between the smoothing effects of the Laplacian dissipation and dispersion effects caused by the Coriolis force and density stratification, we prove existence and uniqueness of global mild solutions to the three‐dimensional stochastic Boussinesq system for arbitrarily large initial data and stochastic external forces in Besov spaces, provided that the stratification parameter is large enough. Our results can be regarded as a generalization of [Math. Nachr. 290(2017), 613–631] and [Indiana Univ. Math. J. 66(2017), 2037–2070].
Interfacially Assembled Fluorescent Nanofilm for Ultra‐Sensitive Formic Acid Detection via Hydrogen Bonding Affinity and Recognition
Authors: Huang Linxuan , Gao Xinxiang , Mao Xinyao , Ullah Ishfaq , Zhou Zhijie , Hussain Ejaz , Xiao Yinghui , Peng Haonan , Fang Yu 
Published: February 2025

AbstractHigh‐performance film‐based sensors are key innovations driving advancements in sensing technologies. An ultra‐sensitive formic acid sensor based on a polymer fluorescent nanofilm synthesized via interfacial assembly using a tetraphenylethylene derivative functionalized with aldehyde and hydroxyl groups is reported. These groups promote imine bond formation and enhance selectivity. The nanofilm, prepared through dynamic condensation with 4,4′‐diaminodiphenyl ether at the air‐DMSO interface, exhibits excellent luminescence, flexibility, and tunable surface topography. Its bright fluorescence is primarily due to the aggregation‐induced emission (AIE) property and hydrogen bonding interactions within the film structure. Imines serve as recognition sites for formic acid, where weak hydrogen bonding alters the electronic environment of the imine groups, blocking proton donors (─OH) and promoting non‐radiative decay, leading to selective fluorescence quenching. The sensor achieves an ultra‐low detection limit of 550 ppt, a rapid response time of 0.3 s, and excellent reversibility. It also demonstrates high selectivity for formic acid over other VOCs, making it suitable for real‐time monitoring. Additionally, the nanofilm's multimodal sensing capabilities, including responses to HCl and NH3, highlight its potential for diverse environmental and industrial applications.
A User‐Customizable Hybrid Framework for Targeted Medical Decision‐Making
Authors: Sava M. Gabriela , Vargas Luis G. , May Jerrold H. , Limeri Linda , Dolan James G. 
Published: February 2025

ABSTRACTTargeted medical decision‐making is a current strategy for addressing the heterogeneity in the patient population, especially when patients' preferences are included in the decision‐making process. In this paper, we propose a user‐customizable hybrid framework that can be adjusted at the patient group level to target a medical decision process. Our framework provides a flexible design, capable of balancing the gain from the reduction of provider time against the cost of prediction inaccuracy resulting from group customization. The framework combines a descriptive process, used to group the patients based on preference‐based subjective features, with a predictive process, which uses objective features to match a new patient with a group. We illustrate our approach by applying it to the colorectal cancer‐screening problem. The provider chooses what level of trade‐off is appropriate, as a function of the acceptable error level. The group customization process allows decision makers to better allocate scarce resources, by potentially shortening the time‐consuming process of modelling patients' preferences using individualised stability analysis. The proposed framework might be applied, with minor changes, to various medical decisions, or even to broader provider‐user scenarios, in which targeted decision‐making that includes user preferences is advantageous.
Should Manufacturer Adopt Cross‐Brand Trade‐In Strategy in Cooperation With Recycling Platform?
Authors: Zheng Bin , Li Sijie , Xiao Wenli 
Published: February 2025

ABSTRACTThis study explores whether manufacturers should independently implement same‐brand trade‐ins or collaborate with recycling platforms for cross‐brand trade‐ins within a concurrent sale and resale framework. In the former strategy, trade‐ins are restricted to manufacturers' branded products, while the latter imposes no such limitations. Our findings reveal that manufacturers prefer cross‐brand trade‐ins due to factors such as reduced market share, high collection costs, or product durability. Interestingly, manufacturers with sufficiently low market share benefit from cross‐brand trade‐ins, irrespective of collection costs. From a market perspective, same‐brand trade‐ins are advantageous when used‐product durability is relatively high; otherwise, cross‐brand trade‐ins are more effective.
The RNA‐Binding Protein IGF2BP1 Marks Germ Cells but Is Dispensable for Mouse Fertility
Authors: Wang Shu , Wu Shan , Tang Jinyan , Chen Yuan , Zhang Yiyun , Long Wenwu , Wu Xin 
Published: February 2025

ABSTRACTInsulin‐like growth factor 2 mRNA binding protein 1 (IGF2BP1) is a key reader of N6‐methyladenosine modifications that regulate target mRNA stability in eukaryotic cells; however, its role in germ cells has never been explored. Here, we analyzed the spatiotemporal expression of IGF2BP1 and revealed that it was present not only in oocytes of the mouse ovary but also in ZBTB16‐positive undifferentiated spermatogonia in the mouse testis. Coimmunoprecipitation and fluorescence staining revealed that IGF2BP1 interacted with TRIM71, a regulator of spermatogonia differentiation, but that its expression was unaffected in the testes of Trim71 knockout mice. We also show that IGF2BP1 colocalized with components of the mRNA processing body (P‐body), including DDX6 and EDC4. However, contrary to our expectations, using VASA (DDX4)‐Cre‐mediated conditional knockout mice, we found that germ cell‐specific knockout of Igf2bp1 did not seem to affect the fertility of male or female mice. Further analysis revealed that spermatogenesis and ZBTB16‐positive undifferentiated spermatogonia numbers in the testes of mutant mice remained unchanged and that there were no obvious changes in testicular morphology or cell subpopulations. In summary, although IGF2BP1 is preferentially expressed in germ cells, its function in germ cells may be dispensable.
Unveiling Prescribing Patterns: A Systematic Review of Chronic Opioid Prescriptions After Head and Neck Cancer Surgeries
Authors: Karki Sabin , Stephanian Brooke , Ramirez Mirian , Moore Michael G. , Campbell David A. , Chen Diane W. , Sim Michael W. , Yesensky Jessica A. , Mantravadi Avinash , Farlow Janice L. 
Published: February 2025

AbstractObjectiveThis study aims to review opioid prescribing changes for pain management in head and neck cancer (HNC) surgery patients, given the recent focus on Enhanced Recovery After Surgery protocols.Data SourcesMEDLINE, Embase, and CENTRAL, covering 1998 to 2023.Review MethodsWe selected studies that evaluated opioid prescribing patterns post‐major HNC surgery in various settings, including tertiary care hospitals and community hospitals. Primary outcomes considered were prevalence and patterns of opioid use post‐surgery, as well as related outcomes such as chronic use and side effects.ResultsOf 1278 abstracts, 24 studies involving 17,027 patients from the United States, China, and Canada met inclusion criteria. Quality was assessed using the MINORS scale, with an average score of 9.9 for non‐comparative studies and 20.0 for comparative studies. Persistent opioid use post‐surgery, defined as ongoing prescriptions 90 days after treatment, was noted in 15.4% to 64% of patients. Two studies reported adverse events, with up to 16% of patients experiencing side effects. Risk factors for chronic use included preoperative opioid use, tobacco use, higher cancer stage, adjuvant treatment, and demographic factors. Correlations were found between larger opioid prescriptions and shorter survival in advanced cancers. There was notable variability in patient‐reported pain control.ConclusionPersistent opioid use post‐HNC surgery is common, with variable efficacy and risk of adverse effects. Tailoring pain management to individual risk factors and focusing on multimodal analgesia could reduce the risks of continued opioid use. Future prospective studies are required to identify optimal pain management strategies.