bluuebunny/crossref_metadata_2025_split huggingface dataset:
QoS prediction of cloud services by selective ensemble learning on prefilling‐based matrix factorizations
Authors: Mao Chengying , Chen Jifu , Towey Dave , Zhao Zhuang , Wen Linlin 
Published: September 2024

SummaryWhen selecting services from a cloud center to build applications, the quality of service (QoS) is an important nonfunctional attribute to be considered. However, in actual application scenarios, the QoS details for many services may not be available. This has led to a situation where prediction of the missing QoS records for services has become a key problem for service selection. This article presents a selective ensemble learning (SEL) framework for prefilling‐based matrix factorization (PFMF) predictors. In each PFMF predictor, the improved collaborative filtering is defined by examining the stability of the QoS records when measuring the similarity of users (or services), and then used to prefill empty records in the initial QoS matrix. To ensure the diversity of the basic PFMF predictors, various prefilled QoS matrices are constructed for the matrix factorization. In this process, different reference weights are assigned to the original and the prefilled QoS records. Finally, particle swarm optimization is used to set the ensemble weights for the basic PFMF predictors. The proposed SEL on PFMF (SEL‐PFMF) algorithm is validated on a public dataset, where its prediction performance outperforms the state‐of‐the‐art algorithms, and also shows good stability.
Epigenetic age acceleration and cognitive performance over time in older adults
Authors: Phyo Aung Zaw Zaw , Wu Zimu , Espinoza Sara E. , Murray Anne M. , Fransquet Peter D. , Wrigglesworth Jo , Woods Robyn L. , Ryan Joanne 
Published: September 2024

AbstractINTRODUCTIONThis study investigated whether epigenetic age acceleration (AA) is associated with the change in cognitive function and the risk of incident dementia over 9 years, separately in males and females.METHODSSix epigenetic AA measures, including GrimAge, were estimated in baseline blood samples from 560 Australians aged ≥70 years (50.7% female). Cognitive assessments included global function, episodic memory, executive function, and psychomotor speed. Composite cognitive scores were also generated. Dementia (Diagnostic and Statistical Manual for Mental Disorders – IV [DSM‐IV] criteria) was adjudicated by international experts.RESULTSAssociations between epigenetic AA and cognitive performance over‐time varied by sex. In females only, GrimAA/Grim2AA was associated with worse delayed recall, composite cognition, and composite memory (adjusted‐beta ranged from –0.1372 to –0.2034). In males only, GrimAA/Grim2AA was associated with slower processing speed (adjusted‐beta, –0.3049) and increased dementia risk (adjusted hazard ratios [HRs], 1.78 and 2.00, respectively).DISCUSSIONEpigenetic AA is associated with cognitive deterioration in later life but with evidence of sex‐specific associations.Highlights
Epigenetic age acceleration was associated with cognitive deterioration over time.
However, these associations differed by sex.
In females, accelerated GrimAge appeared to be a better marker of decline in memory.
In males, accelerated GrimAge was associated with slower processing speed over time.
Association between accelerated GrimAge and dementia risk was found only in males.
Latitudinal gradients and sex differences in morphology of the Black Oystercatcher (Haematopus bachmani)
Authors: Roodenrijs Hannah , Ware Lena , Rankin Cole , Maftei Mark , Hipfner J. Mark , Robinson Brian H. , Esler Daniel , Coletti Heather , Green David J. 
Published: September 2024

AbstractEnvironment and behavior are widely understood to affect bird morphology, which can lead to differences among subspecies or populations within a wide‐ranging species. Several patterns of latitudinal gradients in morphology have been described, though Allen's and Bergmann's rules are the most well‐known and have been tested and confirmed across a diversity of taxa and species. These state that individuals at higher latitudes will have larger bodies (Bergmann's Rule) but smaller extremities (Allen's Rule) to conserve heat in colder climates. Migratory behavior also can influence avian morphology, particularly wing shape, where migratory birds tend to have longer, more pointed wings than residents. The Black Oystercatcher (Haematopus bachmani) is a large, partially migratory shorebird species restricted to intertidal habitats and distributed from Alaska to Baja California, spanning about 35° of latitude. A large proportion of Black Oystercatchers that breed in Alaska are migratory, where nearly all individuals breeding in British Columbia through the southern end of their range remain resident through the annual cycle. Their broad latitudinal range and diversity in migratory behavior may drive geographic variation in morphology. Here we evaluate three explanations for geographic variation in morphology of the Black Oystercatcher using data from seven sites across two regions: Alaska and British Columbia. We found evidence consistent with Allen's but not Bergmann's rule; birds in Alaska have shorter bills than those in British Columbia, and these findings held when controlling for body size using wing length. Despite regional differences in migratory behavior, we detected no difference in the wing shape of birds in Alaska and British Columbia. Differences between sexes and among sites suggest that multiple factors drive patterns of morphological variation in the Black Oystercatcher.
Analysis of Research Hot Spots in Chinese and International English Ecohydrological Literature
Authors: Li Mingyang , Zhang Xiaodan , Li Fulin , Huang Jiwen , Li Zhanhua , Shi Yuzhi , Wang Sinan 
Published: September 2024

ABSTRACTTo enhance comprehension of current research progress in the field of ecohydrology and to provide valuable references for future related research, policy formulation and international collaboration, this article relies on ecohydrology‐related literature and citation records in four databases: China Knowledge Network (CNKI), Wanfang Database, Web of Science (WOS) and Elsevier, up until the end of 2022. We use publication and citation trends analysis along with keyword hotspot analysis using VOS viewer to investigate publication and citation trends in Chinese and English literature. The study systematically analyse the process of keyword changes and research hotspots in Chinese and international English literature, providing a detailed explanation of the differences in research hotspots and the reasons for their formation. The research indicates that since the inception of the term ‘ecohydrology’, relevant literature has displayed sluggish growth alongside rapid development. Additionally, alterations in primary keywords have differed between Chinese and English literature over time. However, ‘groundwater’ has consistently retained a significant amount of attention within Chinese literature. Groundwater has been extensively studied in Chinese literature, with a particular focus on eco‐hydrological processes, their effects, modelling and techniques. Similarly, English language literature is abundant with keywords denoting pivotal concepts like the environment, hydrology, fauna and rivers. These areas have been the focal points of research for international scholars. Regional characteristics, ecological conditions, economic development level and scientific research priorities, among other factors, are all significant contributors to the development of the field of ecohydrology. Differences in research hotspots can also be attributed to geographical characteristics, ecological environment conditions and scientific research priorities. Over the past decade, there has been a gradual convergence in research between Chinese and English literature. The current hotspots of research in ecohydrology include basic research, theoretical applications and adaptive wide‐area mechanistic research. In the future, the discipline of ecohydrology is likely to face numerous challenges and opportunities related to climate change, resource management, and societal needs. Interdisciplinary collaboration, technological innovation and global cooperation will continue to drive breakthroughs in ecohydrology research.
Transcriptomic Analysis of the Effects of Changes in Temperature and Flow Velocity on Reproductive Ability of Coreius guichenoti
Authors: Lin Yuqing , Li Ting , Chen Qiuwen , Qiao Ruxia , He Shufeng , Feng Tao , Wang Jun 
Published: September 2024

ABSTRACTThe establishment of reservoirs, which alter water temperature and flow dynamics, significantly affects the indigenous fish population, yet the underlying molecular mechanisms remain unclear. To investigate effects of the changing water temperature and flow rate on fish ovaries, we subjected female Coreius guichenoti to the combination of different water temperatures (17°C, 20°C and 23°C denoted as L, N and H, respectively) and flow velocities (0 and 0.5 m/s denoted as S and V, respectively). After 30‐day experiment period, we identified 393, 545, 300 and 657 differentially expressed transcripts in HV versus NV, LV versus NV, HS versus NV and LS versus NV, respectively. The transcriptome results showed that both environmental factors could significantly influence oogenesis, with water temperature exerting a more pronounced effect than flow velocity. In particular, the higher temperature (HV and HS) led to a tendency towards masculinization and even infertility in females, which were consistent with the histopathology results. By contrast, the lower temperature (LV and LS) promoted the progression of desirable female attributes, where static water conditions (LS) had a greater effect compared with flowing water (LV). These findings were of great significance for the adaptive operation of reservoirs to create reasonable and precise ecological flows for managing fish reproduction.
Clinical application and immune infiltration landscape of stemness‐related genes in heart failure
Authors: Yan Wenting , Li Yanling , Wang Gang , Huang Yuan , Xie Ping 
Published: September 2024

AbstractBackgroundHeart failure (HF) is the leading cause of morbidity and mortality worldwide. Stemness refers to the self‐renewal and differentiation ability of cells. However, little is known about the heart's stemness properties. Thus, the current study aims to identify putative stemness‐related biomarkers to construct a viable prediction model of HF and characterize the immune infiltration features of HF.MethodsHF datasets from the Gene Expression Omnibus (GEO) database were adopted as the training and validation cohorts while stemness‐related genes were obtained from GeneCards and previously published papers. Feature selection was performed using two machine learning algorithms. Nomogram models were then constructed to predict HF risk based on the selected key genes. Moreover, the biological functions of the key genes were evaluated using Gene Ontology (GO) and Kyoto Encyclopedia of Genes Genomes (KEGG) pathway analyses, and gene set variation analysis (GSVA) and enrichment analysis (GSEA) were performed between the high‐ and low‐risk groups. The immune infiltration landscape in HF was investigated, and the interaction network of key genes was analysed to predict potential targets and molecular mechanisms.ResultsSeven key genes, namely SMOC2, LUM, FNDC1, SCUBE2, CD163, BLM and S1PR3, were included in the proposed nomogram. This nomogram showed good predictive performance for HF diagnosis in the training and validation sets. GO and KEGG analyses revealed that the key genes were primarily associated with ageing, inflammatory processes and DNA oxidation. GSEA and GSVA identified various inflammatory and immune signalling pathways that were enriched between the high‐ and low‐risk groups. The infiltration of 15 immune cell subsets suggests that adaptive immunity has an important role in HF.ConclusionsOur study identified a clinically significant stemness‐related signature for predicting HF risk, with the potential to improve early disease diagnosis, optimize risk stratification and provide new strategies for treating patients with HF.
A Novel Perceptual Constrained cycleGAN With Attention Mechanisms for Unsupervised MR‐to‐CT Synthesis
Authors: Zhu Ruiming , Liu Xinliang , Li Mingrui , Qian Wei , Teng Yueyang 
Published: September 2024

ABSTRACTRadiotherapy treatment planning (RTP) requires both magnetic resonance (MR) and computed tomography (CT) modalities. However, conducting separate MR and CT scans for patients leads to misalignment, increased radiation exposure, and higher costs. To address these challenges and mitigate the limitations of supervised synthesis methods, we propose a novel unsupervised perceptual attention image synthesis model based on cycleGAN (PA‐cycleGAN). The innovation of PA‐cycleGAN lies in its model structure, which incorporates dynamic feature encoding and deep feature extraction to improve the understanding of image structure and contextual information. To ensure the visual authenticity of the synthetic images, we design a hybrid loss function that incorporates perceptual constraints using high‐level features extracted by deep neural networks. Our PA‐cycleGAN achieves notable results, with an average peak signal‐to‐noise ratio (PSNR) of 28.06, structural similarity (SSIM) of 0.95, and mean absolute error (MAE) of 46.90 on a pelvic dataset. Additionally, we validate the generalization of our method by conducting experiments on an additional head dataset. These experiments demonstrate that PA‐cycleGAN consistently outperforms other state‐of‐the‐art methods in both quantitative metrics and image synthesis quality.
Pyrimidine–triazole‐tethered tert‐butyl‐piperazine‐carboxylate suppresses breast cancer by targeting estrogen receptor signaling and β‐catenin activation
Authors: Yuan Jie , Yang Li , Li Zhi , Zhang Hua , Wang Qun , Wang Bei , Chinnathambi Arunachalam , Govindasamy Chandramohan , Basappa Shreeja , Nagaraja Omantheswara , Madegowda Mahendra , Beeraka Narasimha M. , Nikolenko Vladimir N. , Wang Minghua , Wang Geng , Rangappa Kanchugarakoppal S. , Basappa Basappa 
Published: September 2024

AbstractSeveral chemotherapeutics against breast cancer are constrained by their adverse effects and chemoresistance. The development of novel chemotherapeutics to target metastatic breast cancer can bring effective clinical outcomes. Many breast cancer patients present with tumors that are positive for estrogen receptors (ERs), highlighting the importance of targeting the ER pathway in this particular subtype. Although selective estrogen receptor modulators (SERMs) are commonly used, their side effects and resistance issues necessitate the development of new ER‐targeting agents. In this study, we report that a newly synthesized compound, TTP‐5, a hybrid of pyrimidine, triazole, and tert‐butyl‐piperazine‐carboxylate, effectively binds to estrogen receptor alpha (ERα) and suppresses breast cancer cell growth. We assessed the impact of TTP‐5 on cell proliferation using MTT and colony formation assays and evaluated its effect on cell motility through wound healing and invasion assays. We further explored the mechanism of action of this novel compound by detecting protein expression changes using Western blotting. Molecular docking was used to confirm the interaction of TTP‐5 with ERα. The results indicated that TTP‐5 significantly reduced the proliferation of MCF‐7 cells by blocking the ERα signaling pathway. Conversely, although it did not influence the growth of MDA‐MB‐231 cells, TTP‐5 hindered their motility by modulating the expression of proteins associated with epithelial–mesenchymal transition (EMT), possibly via the Wnt/β‐catenin pathway.
The ameliorative potential of metformin against aluminum‐induced neurotoxicity: Insights from in vitro studies
Authors: Sanajou Sonia , Yirün Anil , Demirel Göksun , Erkekoğlu Pinar , Şahin Gönül , Baydar Terken 
Published: September 2024

AbstractAlzheimer's disease (AD) is increasingly recognized as a metabolic disorder, often referred to as type 3 diabetes, due to its strong association with insulin resistance. Chronic exposure to aluminum, a known neurotoxin, has been identified as a significant risk factor in the development and progression of AD. This study explores the potential of metformin, a common anti‐diabetic drug, to mitigate aluminum‐induced neurotoxicity in an in vitro model of AD. Our findings reveal that metformin significantly reduces oxidative stress markers such as malonaldehyde, carbonyl groups, and reactive oxygen species while enhancing antioxidant defenses. Metformin modulates critical signaling pathways, including glycogen synthase kinase 3 beta (GSK3‐β)/RAC‐alpha serine/threonine protein kinase (RAC‐alpha serine/threonine protein kinase (Akt1)/protein phosphatase 2A (PP2A) and Wnt/β‐catenin, decreasing Tau protein levels and promoting neurogenesis. These results suggest that metformin may offer a novel therapeutic approach for AD, particularly in cases where aluminum exposure is a contributing factor.
Data sharing policies across health research globally: Cross‐sectional meta‐research study
Authors: Tan Aidan C. , Webster Angela C. , Libesman Sol , Yang Zijing , Chand Rani R. , Liu Weber , Palacios Talia , Hunter Kylie E. , Seidler Anna Lene 
Published: September 2024

AbstractBackgroundData sharing improves the value, synthesis, and integrity of research, but rates are low. Data sharing might be improved if data sharing policies were prominent and actionable at every stage of research. We aimed to systematically describe the epidemiology of data sharing policies across the health research lifecycle.MethodsThis was a cross‐sectional analysis of the data sharing policies of the largest health research funders, all national ethics committees, all clinical trial registries, the highest‐impact medical journals, and all medical research data repositories. Stakeholders' official websites, online reports, and other records were reviewed up to May 2022. The strength and characteristics of their data sharing policies were assessed, including their policies on data sharing intention statements (a.k.a. data accessibility statements) and on data sharing specifically for coronavirus disease studies. Data were manually extracted in duplicate, and policies were descriptively analysed by their stakeholder and characteristics.ResultsNine hundred and thirty‐five eligible stakeholders were identified: 110 funders, 124 ethics committees, 18 trial registries, 273 journals, and 410 data repositories. Data sharing was required by 41% (45/110) of funders, no ethics committees or trial registries, 19% (52/273) of journals and 6% (24/410) of data repositories. Among funder types, a higher proportion of private (63%, 35/55) and philanthropic (67%, 4/6) funders required data sharing than public funders (12%, 6/49).ConclusionData sharing requirements, and even recommendations, were insufficient across health research. Where data sharing was required or recommended, there was limited guidance on implementation. We describe multiple pathways to improve the implementation of data sharing. Public funders and ethics committees are two stakeholders with particularly important untapped opportunities.
Acute Effects of Steroids on Vocal Fold Epithelium Post‐injury in a Preclinical Model
Authors: Gartling Gary , Sayce Lea , Zimmerman Zachary , Slater Alysha , Hary Lizzie , Yang Wenqing , Santacatterina Michele , Rousseau Bernard , Branski Ryan C. 
Published: September 2024

IntroductionGlucocorticoids (GCs) are commonly prescribed for laryngeal indications due to their potent anti‐inflammatory properties. However, GCs effect on vocal fold (VF) epithelial morphology and barrier function following injury is overlooked and may be key to efficacy. In this study, the effects of GCs on epithelial morphology and barrier function were quantified in injured VFs. We seek to increase our understanding of biochemical processes underlying GC mechanisms to refine therapeutic strategies.MethodsMicroflap injury was induced in 65 rabbits. Seven days after injury, animals received bilateral 20 μL intracordal injections of saline, dexamethasone, methylprednisolone, or triamcinolone (n = 15 per condition). Five rabbits in each condition were euthanized 1, 7, or 60 days following treatment. An additional five animals served as non‐injured/untreated controls. To quantify transepithelial electrical resistance (TEER), 1 mm epithelial biopsies were placed in an Ussing chamber. The contralateral VF was processed for transmission electron microscopy and epithelial depth analysis.ResultsAt 60 days, GC treatment maintained TEER levels similar to non‐injured/untreated controls. However, triamcinolone reduced TEER compared with saline‐treated conditions. Acutely, epithelial hyperplasia typically persisted in all injured VFs. At 60 days, only dexamethasone and triamcinolone increased epithelial depth in injured VFs; all GCs increased epithelial depth compared with non‐injured/untreated controls.ConclusionAcutely, GCs did not alter TEER. Additionally, GCs did not alter epithelial depth compared with saline treatment, indicating alignment with natural healing responses. At 60 days, GCs exhibited varying degrees of TEER restoration and epithelial hyperplasia, possibly due to distinct pharmacodynamic profiles.Level of EvidenceNA Laryngoscope, 2024
Factors associated with adherence to swallowing therapy among patients diagnosed with oropharyngeal dysphagia
Authors: Ezeh Uche C. , Balou Matina , Crosby Tyler , Kwak Paul E. , Amin Milan R. 
Published: September 2024

AbstractObjectiveThe objective of this study is to assess disparities in adherence to swallowing therapy for clinically diagnosed oropharyngeal dysphagia (OD) patients.MethodsAnalysis was conducted on data from 600 patients with OD and confirmed impairments in swallowing safety and/or efficiency on a videofluoroscopic swallow study. Patients were classified based on their adherence to treatment sessions, defined as the number of swallow treatment sessions attended. The outcome of treatment adherence was categorized into two groups: those who attended fewer than 50% of the prescribed treatment sessions and those who attended 50% or more of the sessions. Continuous variables were presented as mean ± standard deviation or median ± interquartile range. Categorical variables were compared using Pearson chi‐square tests and Fisher's exact test when appropriate. Univariable and multivariable binary logistic regression models were employed to identify factors associated with successful adherence.ResultsApproximately 79% adhered to swallowing treatment. We found no significant relationship between adherence and age, sex, race, ethnicity, primary language, marital status, insurance status, occupation, median income, distance, education, OD severity, and diagnosis year (p > 0.05). We found no covariables to be significant predictors to swallowing treatment nonadherence in both univariable and multivariable binary regression models (p > 0.05).ConclusionThe variables analyzed in this study were not significantly associated with nonadherence to swallow therapy. Nevertheless, our study still addressed an important knowledge gap and future studies would benefit from exploring other relevant socioeconomic and disease‐related factors.Level of evidenceLevel 4.