bluuebunny/crossref_metadata_2025_split huggingface dataset:
Explainable recommender system directed by reconstructed explanatory factors and multi‐modal matrix factorization
Authors: Chang Teng , Zhang Zhixia , Cai Xingjuan 
Published: June 2024

SummaryMatrix factorization (MF)‐based recommender systems (RSs) as black‐box models fail to provide explanations for the recommended items. While some models attain a degree of explainability by integrating neighborhood algorithms, which compute explainability based on the preferences of proximate users, they overlook the contribution of the subjective preferences of the target user to enhancing model explainability, resulting in suboptimal model explainability. To address this problem, an explainable RS directed by reconstructed explanatory factors and multi‐modal matrix factorization (ERS‐REFMMF) is proposed. By integrating users' subjective sentiment and preference features into the rating matrix to form a multi‐modal matrix, ERS‐REFMMF utilizes the Funk‐singular value decomposition method at the foundational layer to decompose the multi‐modal matrix and generate a candidate item set. At the upper layer, explainability is constructed based on the target user's subjective preferences and latent features derived from MF, and the final recommended list is optimized for accuracy, diversity, novelty, and explainability through multi‐objective optimization algorithms. ERS‐REFMMF models around users' explicit preferences and latent associations, reconstructs explainability with hybrid factors, and enhances overall performance through a many‐objective optimization algorithm. Experimental results on real datasets demonstrate that the proposed model is competitive in both phases compared to existing recommendation methods.
Oxygen Vacancy: How Will Poling History Affect Its Role in Photoelectrocatalysis
Authors: Li Xianlong , Wang Zhiliang , Bao Yifan , Lu Haijiao , You Jiakang , Wang Lianzhou 
Published: June 2024

AbstractOxygen vacancy (VO) has been recognized to possess an effect to promote the charge separation and transfer (CST) in various n‐type semiconductor based photoelectrodes. But how external stimulus will change this VO effect has not been investigated. In this work, external polarization is applied to investigate the effect of VO on the CST process of a typical ferroelectric BiFeO3 photoelectrode. It is found that negative poling treatment can significantly boost VO effect, while positive poling treatment will deteriorate the CST capability in BiFeO3 photoelectrodes. This poling history determined VO effect is rooted in the VO induced defect dipoles, wherein their alignment produces a depolarization electric field to modulate the CST driving force. This finding highlights the significance of poling history in functionalizing the VO in a photoelectrode.
A CV‐type WPT system based on CLC‐N compensation with compact receiver
Authors: Wang Jiabin , Sun Qianqian , Li Yaxuan 
Published: June 2024

AbstractThe demand for wireless power transfer (WPT) systems that can maintain a constant voltage (CV) output characteristic is gradually increasing in some practical application areas of WPT, such as industrial power supplies. However, existing CV‐type systems are often limited by the parameter design of the loosely coupled transformer (LCT), and the configuration of the receiver side is not compact enough. Therefore, this paper proposes a strongly coupled system with a CV output function composed of capacitor‐inductor‐capacitor‐none (CLC‐N) topology. The system's transmitter uses a CLC compensation, while the receiver conforms to a minimalist design without the need for compensation components such as capacitors and inductors. The initial segment of the paper pertains to the discussion of the conditions required to satisfy both the zero‐phase‐angle (ZPA) and CV output functionality of the suggested system. Subsequently, an in‐depth approach to parameter design is outlined, accentuating that the output voltage remains unrestricted by the LCT's parameters. Additionally, this paper examines the realization of zero‐voltage switching (ZVS) within the suggested system as well as the influence that variations in compensation components have on the CV output function. To underscore the benefits of the suggested CV‐type WPT system that employs CLC‐N compensation, the paper presents a comparison with a range of other CV‐type WPT systems. Ultimately, an experimental prototype is fabricated to test the theoretical framework, and the results from these experiments confirm the feasibility of the suggested CV‐type WPT system based on CLC‐N compensation.
Exosomics integrates digital imaging for head and neck cancer diagnosis
Authors: ArulJothi K. N. , Nidhu A. B. , Krishnan Anand 
Published: June 2024

AbstractCancers that can manifest in the oral cavity, nasal cavity, larynx, pharynx, sinuses, and other head and neck areas are collectively called “head and neck cancers” (HNC). HNC can be broadly classified into five types: salivary gland; oral and oropharyngeal; nasal cavity and paranasal sinus; nasopharyngeal, and laryngeal and hypopharyngeal cancers. HNC accounts for one million new diagnoses annually, making it the seventh most common form of the disease globally. Among all HNCs, 90% are head and neck squamous cell carcinoma (HNSCC) which is highly heterogenous, relapsing, and metastatic with poor survival. Despite the availability of new treatments, the five‐year survival rate for HNSCC patients has been reported to be approximately 50%. An early diagnosis may increase the disease management and outcomes, but it is challenging to detect smaller‐sized lesions and differentiate malignant and non‐malignant lesions with the available tools. Current circumstances demand an improvement in existing diagnostic strategies and the advent of novel diagnostic tools.
Research on the bearing capacity characteristics of initial support for horseshoe‐shaped tunnel prefabrication
Authors: Xue Yongtao , Yan Fayuan , Qi Chengzhi , Zhang Haochen , Xiuwang Zhao , Jingxu Chen 
Published: June 2024

AbstractIn view of the limited theoretical research on the load model of initial support for horseshoe‐shaped prefabrication, this study focuses on the Luochuan Tunnel on the Xi'an‐Yan'an newly built railway as the research object to explore its load model, load characteristic curve, plastic zone, deformation, and critical thickness. Theoretical research and numerical analysis were conducted. The results indicate that under the same boundary conditions, the ultimate bearing capacity of the prefabricated assembly initial support is higher than that of the shotcrete initial support, resulting in larger ultimate deformation capacity of the prefabricated assembly initial support. Based on numerical calculations, the ultimate deformation and critical thickness of the prefabricated initial lining for single‐ and double‐track railway tunnels are obtained when buried at depths of 200, 500, and 900 m in rock masses of classes III, IV, and V.
Mechanistic insights on riverine meta‐ecosystems: Network shape drives spatial biodiversity and trophic structures
Authors: Carraro Luca , Ho Hsi‐Cheng 
Published: June 2024

AbstractRivers exhibit hierarchical spatial structures of habitat and physical attributes, providing directed pathways for biological population and community dynamics and thus shaping the meta‐ecosystems therein. While the River Continuum Concept has generalized the spatial patterns of abiotic and biotic components along rivers, a mechanistic understanding of how river networks' shape may constrain the attributes of riverine meta‐ecosystems remains lacking. Here, we address this gap with an in silico study. We integrate the Optimal Channel Network concept (and the well‐established scaling of river geomorphological and hydrological attributes) with a meta‐ecosystem model (with trait‐based food‐web dynamics and spatial dynamics of species and inorganic resources) to explore how distinct river network shapes (elongated vs. compact) may drive the spatial patterns of biodiversity and community trophic structure. We analyse metrics of biomass distribution, trophic structure and composition of locally realized food webs and show that elongated and compact networks foster very different upstream‐downstream biological patterns, and even more contrasting patterns are often observed between the long and short paths of elongated networks. Overall, we observe a transition from prevailing detritus‐based to nutrient‐based trophic channels moving downstream, leading to peaks in alpha diversity at intermediate river size, where both channels are more balanced. Higher spatial heterogeneity in community composition and lower biomass levels are observed in elongated than in compact networks, driven by higher variability in nutrient input loads and higher water volumes, respectively. Together, our findings associate river shapes to the emergent riverine meta‐ecosystems properties and help reveal the underpinning physical attributes‐driven mechanisms.
Predicting responses to climate change using a joint species, spatially dependent physiologically guided abundance model
Authors: Custer Christopher A. , North Joshua S. , Schliep Erin M. , Verhoeven Michael R. , Hansen Gretchen J. A. , Wagner Tyler 
Published: June 2024

AbstractPredicting the effects of warming temperatures on the abundance and distribution of organisms under future climate scenarios often requires extrapolating species–environment correlations to climatic conditions not currently experienced by a species, which can result in unrealistic predictions. For poikilotherms, incorporating species' thermal physiology to inform extrapolations under novel thermal conditions can result in more realistic predictions. Furthermore, models that incorporate species and spatial dependencies may improve predictions by capturing correlations present in ecological data that are not accounted for by predictor variables. Here, we present a joint species, spatially dependent physiologically guided abundance (jsPGA) model for predicting multispecies responses to climate warming. The jsPGA model uses a basis function approach to capture both species and spatial dependencies. We apply the jsPGA model to predict the response of eight fish species to projected climate warming in thousands of lakes in Minnesota, USA. By the end of the century, the cold‐adapted species was predicted to have high probabilities of extirpation across its current range—with 10% of lakes currently inhabited by this species having an extirpation probability >0.90. The remaining species had varying levels of predicted changes in abundance, reflecting differences in their thermal physiology. Though the model did not identify many strong species dependencies, the variation in estimated spatial dependence across species suggested that accounting for both dependencies was important for predicting the abundance of these fishes. The jsPGA model provides a new tool for predicting changes in the abundance, distribution, and extirpation probability of poikilotherms under novel thermal conditions.
A comprehensive review of wireless power transfer methods, applications, and challenges
Authors: Rahman Md Mahidur , Shanto Md Shahariar Islam , Sarker Nayan , Rani Tithi , Paul Liton Chandra 
Published: June 2024

AbstractWireless power transfer (WPT) is a promising technology that has the potential to revolutionize the present methods of power transmission. This paper aims to provide an overview of WPT, including its history, a comparative review of methods, and a review of recent papers about WPT. We discussed different methods of WPT, such as inductive power transmission, capacitive power transmission, optical power transmission, and microwave power transmission. The research briefly discusses the applications, challenges, and opportunities of WPT. The study's findings suggest that WPT can serve as a feasible substitute for traditional wired power transmission. This technology has the potential to offer several advantages, including enhanced convenience, decreased expenses, and heightened safety.
High prevalence of multidrug‐resistant Pseudomonas aeruginosa carrying integron and exoA, exoS, and exoU genes isolated from burn patients in Ahvaz, southwest Iran: A retrospective study
Authors: Akrami Sousan , Ekrami Alireza , Jahangirimehr Fatemeh , Yousefi Avarvand Arshid 
Published: June 2024

AbstractBackgroundPseudomonas aeruginosa as an opportunistic pathogen produces several virulence factors. This study evaluated the relative frequency of exoenzymes (exo) A, U and S genes and integron classes (I, II, and III) among multi‐drug‐resistant clinical P. aeruginosa isolates from burn patients in Ahvaz, southwest of Iran.MethodsIn this cross‐sectional study P. aeruginosa isolates were recovered from 355 wound samples. The antimicrobial susceptibility test was done by disk agar diffusion method on Muller‐Hinton agar according to the Clinical and Laboratory Standards Institute. MDR isolates were defined if they showed simultaneous resistance to 3 antibiotics. Extensively drug‐resistant was defined as nonsusceptibility to at least one agent in all but two or fewer antimicrobial categories. The presence of class I, II, and III integrons and virulence genes was determined using a PCR assay on extracted DNA.ResultsOverall, 145 clinical P. aeruginosa isolates were confirmed with biochemical and PCR tests. Overall, 35% (52/145) of the isolates were taken from males and 64% (93/145) from female hospitalized burn patients. The highest resistance rates of P. aeruginosa isolates to antibiotics were related to piperacillin 59% (n = 86/145) and piperacillin‐tazobactam 57% (n = 83/145). A total of 100% of isolates were resistant to at least one antibiotic. MDR and XDR P. aeruginosa had a frequency of 60% and 29%, respectively. The prevalence of integron classes I, II, and III in P. aeruginosa was 60%, 7.58%, and 3.44%, respectively. IntI was more common in MDR and XDR P. aeruginosa isolates. In addition, 70(48%) of P. aeruginosa isolates did not harbor integron genes. Besides, exoA, exoS, and exoU in P. aeruginosa had a frequency of 55%, 55%, and 56%, respectively.ConclusionIt was found that P. aeruginosa as a potent pathogen with strong virulence factors and high antibiotic resistance in the health community can cause refractory diseases in burn patients.
Identification of sinkhole‐prone zones by successive coincidence deficit index analysis
Authors: Şahin A. Ufuk , Ozkaya Arzu 
Published: June 2024

AbstractHydrological data‐driven models require the time series of several hydrological events with different time resolutions. The interpretation of any time series event is generally difficult without some sort of filtering or converting it to a single index value. The simultaneous analysis of two or more hydrological events over a definite time span may be more informative about the region of interest. For this purpose, a new index, referred to as the successive coincidence deficit index (SCDI), was introduced to identify sinkhole‐prone regions using the persistent water deficit concept. In this study, monthly integrated multi‐satellite retrievals for GPM based precipitation (P) and gravity recovery and climate experiment‐based groundwater storage (GWS) datasets over Konya Closed Basin (KCB) in Türkiye were used to analyse the sinkhole occurrence. The main finding of this study is that SCDI distribution with high index values, concentrated on the southwestern part of KCB, is in line with the sinkholes occurred mainly after 2010. The proposed SCDI could also serve as a kind of drought index, which enables practitioners to quantify the relationship between drought and sinkhole occurrence. Moreover, the event coincidence analysis was utilized to detect deficiency in GWS over the KCB, which was associated with a rate of 0.8 for P deficiency, and this rate reaches up to 0.9 in the sinkhole region analysed in this study. As a conclusion, the proposed methodology can detect sinkhole‐prone regions to construct risk maps for stakeholders, policymakers, and end users.
Treatment of textile industry effluents with up‐flow anaerobic sulfidogenic reactor
Authors: Özkaymak Gülayşe , Şahan Aybüke Nur , Yakamercan Elif , Çakmak Yakup , Uçar Deniz 
Published: June 2024

AbstractBACKGROUNDDyes present in textile wastewater can pose various environmental problems, including toxicity, carcinogenicity and mutagenicity, when released into receiving environments. Sulfidogenic bacteria play a crucial role in wastewater treatment by reducing sulfate and producing sulfide through the utilization of organic compounds in water. The resulting sulfide often transfers its electrons to another electron acceptor. This study focused on the treatment of real textile wastewater using an up‐flow sulfidogenic column bioreactor.RESULTSThe reactor was acclimated to sulfate‐reducing conditions when influent chemical oxygen demand and sulfate concentrations were 1742 and 2000 mg L−1, respectively. Subsequently, a gradual transition was made from sulfate‐reducing conditions to dye‐reducing conditions. Throughout the study, the hydraulic retention time was maintained at 1 day.CONCLUSIONThe influent dye concentration was 2722 Pt‐Co, and an impressive dye removal efficiency of approximately 90 ± 2% was achieved. This corresponds to a removal rate of 2450 Pt‐Co L−1 day−1. Although the sulfide concentration in the reactor decreased in the last period, investigating the extent to which this sulfide participates in the dye removal may expand the use of sulfidogenic reactors in the treatment of real textile industry wastewater. © 2024 The Author(s). Journal of Chemical Technology and Biotechnology published by John Wiley & Sons Ltd on behalf of Society of Chemical Industry (SCI).
Four distinct peer interaction variables as moderators of the fearful temperament‐anxiety association, using data from the Generation R Study
Authors: Harrewijn Anita , Mulder Rosa H. , van IJzendoorn Marinus H. , Wieser Matthias J. , Jansen Pauline W. 
Published: June 2024

AbstractBackgroundPediatric anxiety disorders are common and have severe long‐term consequences. Early‐life fearful temperament is a predictor of later anxiety, but not all children with highly fearful temperament will eventually develop an anxiety disorder. Therefore, it is important to identify factors that moderate the fearful temperament‐anxiety association. The goal of this study it to replicate the fearful temperament‐anxiety association in a large cohort study, explore sex as a moderator of this association, and to investigate four distinct peer interaction variables as moderators of this association.Methods2730 children (51.0% girls) with parent‐reported fearful temperament at 6 months and parent‐reported anxiety symptoms at 13 years were included from a prospective cohort study (Generation R Study). Fearful temperament was also observed in a subset (n = 643, 49.3% girls) of these children. Peer interactions were measured in four different ways: mother‐reported victimization (at age 7), self‐reported friendship quality (at age 9), and self‐reported feelings and facial expressions during social exclusion in a lab‐based task (at age 9).ResultsChildren with higher parent‐reported, but not observed, fearful temperament showed more anxiety symptoms as adolescents, β = 0.07, p < 0.001. This association was not moderated by sex, β = −0.07, p = 0.07, but was stronger in adolescents who reported more negative feelings after social exclusion, β = 0.05, p = 0.04. Victimization, friendship quality, and sad facial expressions were related to increased anxiety symptoms but did not moderate the fearful temperament‐anxiety association.ConclusionsWe showed that parent‐reported fearful temperament and anxiety were associated in this large community sample and that this association was not moderated by sex. Additionally, we showed that negative feelings after social exclusion moderated this association. Potentially, children with a highly fearful temperament might benefit from learning how to cope with social exclusion. Future studies are needed to confirm our findings and could focus on the potential role of coping with social rejection in interventions.
Predicting PM2.5 concentration with enhanced state–trend awareness and uncertainty analysis using bagging and LSTM neural networks
Authors: Bian Chao , Huang Guangqiu 
Published: June 2024

AbstractMonitoring air pollutants, particularly PM2.5, which refers to fine particulate matter with a diameter of 2.5 µm or smaller, has become a focal point of environmental protection efforts worldwide. This study introduces the concept of state–trend awareness, which is widely employed in big data analytics to enhance global threat identification, understanding, and response capabilities. We applied this approach to the prediction of PM2.5, utilizing its capacity to provide holistic insights and support decisions in dynamic environments. We conducted in‐depth analyses of extensive historical data to forecast the future concentration trends. By combining a long short‐term memory (LSTM) neural network with a bagging ensemble learning algorithm, our developed model demonstrated superior accuracy and generalization compared to those of traditional LSTM and support vector machine (SVM) methods, reducing errors relative to SVM‐LSTM by 12%. We further introduced interval prediction to address forecasting uncertainties, not only providing a specific PM2.5 but also forecasting the probability ranges of its variations. The simulation results illustrate the effectiveness of our approach in improving the prediction accuracy, enhancing model generalization, and reducing overfitting, thereby offering a robust analytical tool for environmental monitoring and public health decision‐making.
The clinical management of hepatic sarcoidosis: A systematic review
Authors: Sinnanaidu Ram Prasad , Kumar Vikneshwaran Chandra , Shunmugam Ranita Hisham , Mahadeva Sanjiv 
Published: June 2024

AbstractBackgroundHepatic sarcoidosis is an uncommon clinical condition in which clear recommendations are lacking in its treatment. We aimed to review systematically the literature on hepatic sarcoidosis treatment to guide clinicians.MethodsUsing MEDLINE, PubMed, CINAHL, Cochrane Library, and Google Scholar databases, we searched original articles on clinical studies reporting the outcome of adult hepatic sarcoidosis patients following treatment with various pharmacological agents. The primary end point was focused on assessing symptomatic relief and biochemical improvement posttreatment.ResultsOut of 614 retrieved references, 34 published studies were eligible, providing data for a total of 268 patients with hepatic sarcoidosis. First‐line therapy with corticosteroids alone was reported in 187 patients, whilst ursodeoxycholic acid (UDCA) was used in 40 patients. Symptomatic and biochemical responses were reported among 113(60.4%) and 80(42.8%) cases of corticosteroids respectively, whereas UDCA showed a complete response in 23(57.5%) patients. Second‐line therapy was used in steroid‐refractory cases, with most cases being reported for azathioprine (n = 32) and methotrexate (n = 28). Notably, 15(46.9%) and 11(39.2%) patients showed both clinical and biochemical responses respectively. Biological therapy including anti‐tumor necrosis factor (anti‐TNF) was used as third line therapy in twelve cases with a 72.7% symptomatic and biochemical response rate each.ConclusionThe quality of evidence for the treatment of hepatic sarcoidosis was poor. Nevertheless, it appears that corticosteroid or UDCA may be utilized as first‐line therapy. For cases that are refractory to corticosteroids, steroid‐sparing immunosuppressive agents and anti‐TNF have shown some promising results, but further high‐quality studies are required.