bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fibromyalgia in patients with non‐psychotic mental disorders: Prevalence, associated factors and validation of a brief screening instrument
Authors: Zinchuk Mikhail , Kustov Georgii , Tumurov Dmitry , Zhuravlev Dmitry , Bryzgalova Yulia , Spryshkova Maria , Yakovlev Alexander , Guekht Alla 
Published: September 2024

AbstractBackgroundFibromyalgia (FM) is a chronic pain syndrome associated with significant distress and numerous unpleasant consequences. Mental health problems in people with FM have been reported in many studies. People with mental disorders are thought to be at higher risk of FM than the general population, but the prevalence has not been established.ObjectiveWe aimed to investigate the prevalence of FM in a representative sample of inpatients with non‐psychotic mental disorders. Additionally, we aimed to assess the psychometric properties of the Fibromyalgia Rapid Screening Tool (FiRST) in the Russian‐speaking population of people with mental disorders.MethodsConsecutive inpatients admitted to the Moscow Research and Clinical Center for Neuropsychiatry for treatment of non‐psychotic mental disorders were evaluated for FM by a neurologist and completed the FiRST, Beck Depression Inventory (BDI), and State and Trait Anxiety Inventory (STAI).ResultsOf the 1168 patients evaluated 9.0% met the diagnostic criteria for FM. FM was associated with being female, having a diagnosis of unipolar depression, and having higher total scores on the BDI and STAI. The psychometric properties of the FiRST were good (McDonald's omega 0.79, corrected item‐total correlation greater than 0.45). An optimal cut‐off point with the highest Yuden's index (J = 0.75) was >3 (AUC of 0.89).ConclusionFM is a common comorbidity in people with non‐psychotic mental disorders, associated with being female, having a diagnosis of unipolar depression, and having more severe anxiety and depression. The FiRST can be used for the FM screening with its cut‐off >3 in people with non‐psychotic mental disorders.Significance StatementIt is the first study to determine the prevalence of FM in people with non‐psychotic spectrum mental disorders. The study design included a consecutive sample in a real‐life setting to avoid bias. In addition, we evaluated the psychometric properties of the FM screening instrument in a population of people with mental disorders and established the cut‐off. The specificity of this subpopulation is explained by both the high prevalence of pain symptoms and the overlap of some psychiatric and FM symptoms.
Standardization and application of ARMS TaqMan real‐time PCR for screening of folate metabolism genes in Han Chinese
Authors: Deng Peipei , Liu Xuan , Li Yuanjing , Li Huanhuan , Zhao Bangrong , Wang Shusong , Ma Jing 
Published: September 2024

AbstractFolate has antioxidant properties, and low concentration in seminal plasma may be associated with increased DNA damage in sperm. Mutations of the methylenetetrahydrofolate reductase (MTHFR) and methionine synthase reductase (MTRR) genes, including MTHFR C677T (rs1801133), MTHFR A1298C (rs1801131), and MTRR A66G (rs1801394), can lead to decreased activity of the encoded folate metabolic enzymes, thereby affecting male reproduction. The current SNP detection methods commonly used in clinical practice have some shortcomings, such as long time‐consuming, complex detection steps, or high cost. The purpose of this study was to establish a simple, time‐saving, sensitive, accurate, and easy to clinical popularization method for folate metabolism gene detection. We combined ARMS‐PCR with TaqMan fluorescent probe to establish an ARMS TaqMan real‐time PCR detection method. According to the variation of rs1801131, rs1801133, and rs1801394, two specific primers (one wild type and one mutant) were designed. Mismatched nucleotides were introduced at the penultimate or third position to improve the specificity of the primer. Specific TaqMan probe was introduced to detect PCR products to improve the sensitivity of the method. The results showed that the sensitivity of ARMS TaqMan real‐time PCR in SNP genotyping was 1 ng, and the accuracy was 100%. A total of 249 clinical samples were detected by the established method, and the correlation between three SNPs and semen quality was analyzed. We found that individuals carrying the AG + GG genotype of rs1801394 had a lower risk of abnormal semen quality. In conclusion, we developed a highly sensitive, accurate, rapid, and easy to be popularized method for detecting SNPs of rs1801394, rs1801131, and rs1801133. ARMS TaqMan real‐time PCR is a reliable SNP genotyping method in folate metabolism genes.
Preparation of alkyl microporous organic network‐based capillary column for an efficient gas chromatographic separation of position isomers
Authors: Gao Zhi‐Yong , Li Xi‐Jin , Cui Yuan‐Yuan , Yang Cheng‐Xiong 
Published: September 2024

AbstractThe large surface area, excellent thermal stability and easy modification make microporous organic networks (MONs) good candidates in the field of gas chromatography (GC). Due to the limited species and highly conjugated networks of MONs, their applications are still in infancy and restricted. To accelerate their developments and to enrich their types in GC, here we report the first example of synthesizing alkyl MON and its capillary column for GC separation of position isomers. Linear 1,8‐dibromooctane is used as the alkyl monomer instead of traditional aromatic ones to construct novel alkyl MON to decrease the inherent conjugated characteristic of MONs. The alkyl MON exhibits good thermal stability (up to 350°C), large surface area (1173 m2 g−1), and non‐polar character, allowing good resolution for alkanes, alkyl benzenes, alcohols, ketones, and diverse position isomers, including dichlorobenzene, trichlorobenzene, bromotoluene, nitrotoluene, methylbenzaldehyde, and ionone with the limits of detection (0.003 mg mL−1) and limits of quantitation of (0.10 mg mL−1). The in situ growth–prepared alkyl MON column demonstrates remarkable duration time and precisions for the retention relative standard deviations, (RSDs%, intra‐day, n = 7), 0.06%–0.53% (intra‐day, n = 7), and 2.87%–10.59% (column‐to‐column, n = 3). In addition, the fabricated alkyl MON‐coated capillary column offers better resolution than three commercial GC columns for the resolution of methylbenzaldehyde, bromotoluene, and chlorotoluene isomers. This work reveals the practicability for synthesizing alkyl MONs and demonstrates their prospects for position isomers separation.
The Built Environment Data platform for experimental test data in earthquake engineering
Authors: Shahnazaryan Davit , Pinho Rui , Crowley Helen , O'Reilly Gerard J. 
Published: September 2024

AbstractExperimental testing of full structural systems and their components is crucial for understanding their response to earthquakes. Since the 1960s, global interest in such testing has grown, supported by numerous national and international funding initiatives. This has resulted in valuable data that has improved understanding of structural behaviour, spurred the development of new mitigation solutions and helped validate numerical models critical for simulation studies. These advancements have enabled engineers to improve building codes and guidelines, and have allowed risk modellers to more accurately assess risk. With advanced computational resources, integrating experimental findings into broader initiatives becomes crucial. This article discusses a recent European initiative, Built Environment Data (BED) (https://builtenvdata.eu/), which currently offers a platform to store and manage data from experimental research, embodied carbon and simulated design services. BED aims to serve the European Plate Observing System (EPOS) distributed research infrastructure as one of its Thematic Core Services (TCSs). This paper focuses on the Experiments service for managing experimental data, compares it to similar global efforts and outlines the specific requirements and system architecture, including the web services and datasets currently offered. The Experiments service is expected to significantly support engineers worldwide by making experimental research and data more findable, accessible, inter‐operable and re‐usable.
Exploring the relationship between learning emotion and cognitive behaviors in a digital game
Authors: Chen Li , Zhan Zehui , Chen Han , Zheng Linlin 
Published: September 2024

AbstractPrevious studies have primarily explored the learning effects of digital games on students from a macro perspective, mainly ignoring the fine‐grained dimensions of learners' emotions and cognition during gameplay. To enrich the study of learners' emotions and cognitions in the context of digital games, this paper conducts an empirical study using the self‐developed board game “Connect Four Chess” as a research vehicle. We semi‐automatically identify learners' emotional and cognitive behaviors within this game‐based educational context and explore the relationship between the two. The study demonstrates that high‐level learners maintained a high level of insightful emotion throughout the game, excelled at constructing strategic formations to control more significant chessboard areas, and preferred to reserve powerful pieces until the end to secure a winning advantage. Conversely, low‐level learners exhibit a predominant level of neutral emotion, especially during unrelated behaviors, and struggle to maintain a strategic overview, focusing instead on smaller, immediate gains, which hamper the application of deeper strategies.
Enhancing university students' learning performance in a metaverse‐enabled immersive learning environment for STEM education: A community of inquiry approach
Authors: Singh Manpreet , Sun Daner , Zheng Zhizi 
Published: September 2024

AbstractThe research paper explores the use of a metaverse‐enabled immersive learning environment (MeILE) guided by the Community of Inquiry (CoI) framework to enhance university student interactions and collaboration. The platform integrates various components, including avatar usage, multimodality, and gamification, with careful consideration of each CoI element to maximize students' immersive interactions and collaboration in STEM (science, technology, engineering, and mathematics) learning contexts. By aligning activities with Bloom's digital taxonomy, the metaverse environment aims to improve STEM learning outcomes. A case study conducted at a university demonstrated the successful implementation of essential CoI elements, leading to increased student engagement and improved learning performance. Results indicate MeILE facilitates interactive, reflective, constructive, and self‐regulated learning, which are essential for developing STEM and 21st century skills. The study emphasizes the teacher's role as a facilitator in fostering self‐directed learning, and cultivating 21st‐century skills through collaborative learning activities in virtual environment. The research underscores the importance of innovative educational tools in adapting to the evolving landscape of education in the digital age.
A new non‐equilibrium modification of the k−ω$$ k-\omega $$ turbulence model for supersonic turbulent flows with transverse jet
Authors: Naimanova Altynshash , Beketaeva Assel 
Published: September 2024

AbstractThe goal of this research is to propose a new modification of a non‐equilibrium effect in the turbulence model to better predict high‐speed turbulent flows. For that, the two local compressibility coefficients are included in the balance production/dissipation terms in a specific dissipation rate equation. The specific dissipation rate reacts to changes in the local Mach number and density through these local coefficients. The developed model is applied to the numerical simulation of the spatial supersonic turbulent airflow with round hydrogen injection. In that, the effects of the proposed turbulence model on the flow field behavior (shock wave and vortex formations, shock wave/boundary layer interaction, and mixture layer) are studied via the solution of three‐dimensional Favre‐averaged Navier–Stokes equations with a third‐order Essentially Non‐Oscillatory scheme. A series of numerical experiments are performed, in which an allowable range of local constants by comparing results with experimental data is obtained. The non‐equilibrium modification by simultaneous decrease of the turbulence kinetic energy and increase of the specific dissipation rate gives a good agreement of the hydrogen depth penetration with experimental data. Also, the numerical experiment of the supersonic airflow with a nitrogen jet shows wall pressure distribution is consistent well with experimental data.
Deep learning for sea surface temperature applications: A comprehensive bibliometric analysis and methodological approach
Authors: Boufeniza Redouane Larbi , Jingjia Luo , Abdela Kemal Adem , Alsafadi Karam , Alsahli Mohammad M 
Published: September 2024

AbstractThis study explored the potential application of deep learning techniques in sea surface temperature (SST) investigations using a mixed method, bibliometric analysis and methodological approach. CiteSpace software was utilized for a bibliometric study on 137 academic publications from 2018 to 2023. Various databases were employed for methodological analysis, which involved examining publications based on models, methodologies, applications and research areas. The data were manually organized in a relational framework of an SQL database. The analysis underscored China's prominence as a leader in the extensive research devoted to this field. The United States of America and the United Kingdom played pivotal roles in providing the essential data that served as the foundation for these studies. Moreover, the long short‐term memory (LSTM) algorithm was the predominant computational deep learning algorithm extensively used in this specific context. The analysis highlighted significant knowledge gaps in areas such as SST forecasting, modelling, satellite remote sensing, extreme events and data reconstruction. Future scientists need to show more interest in these and related subjects, while Chinese and American scientists should prioritize paper quality over quantity. Additionally, fostering stronger collaborations between universities and institutions is vital for further advancements. Ultimately, this study offers valuable insights into hotspot research areas and development processes, establishing the foundation for research and suggesting possible avenues for future development. The results of this evaluation serve as an essential guide for researchers and modellers involved in prediction initiatives using deep learning.
Mistreated but Still Resilient! Unraveling the Role of Servant Leadership in Mitigating the Adverse Consequences of Care Recipients' Incivility
Authors: Mostafa Ahmed Mohammed Sayed , Yalabik Zeynep Y. , Eyiusta Ceyda Maden , Zaharie Monica , Ozcelik Gaye 
Published: September 2024

ABSTRACTIn many countries, social care workers suffer from mistreatment from social care recipients. Such mistreatment poses a significant challenge from the human resource management (HRM) perspective as finding and retaining competent social care workers is a global challenge. However, only a few studies focus on the relationship between such mistreatment and social care workers' job and psychological resources. Drawing on the conservation of resources (COR) theory, our study sheds light on the relationship between social care recipients' incivility and the resilience of social care workers. Specifically, our study examines the mediating role of work meaningfulness on the care recipient incivility–care worker resilience link, and the moderating role of servant leadership on this mediated relationship. To test the proposed moderated mediation model, two studies were conducted in social care organizations in England (n = 248) and Romania (n = 296). Our results revealed that perceived care recipient incivility is indirectly and negatively related to care workers' resilience by undermining their perceptions of work meaningfulness. Moreover, when social care workers work under a servant leader, this indirect relationship becomes weaker. The discussion elaborates on the findings of our model as well as the theoretical and practical implications for the management of human resources in social care organizations.
Field effect transistor biosensors for healthcare monitoring
Authors: Zhang Zhicheng , Hu Jing‐Jing , Lin Shijun , Wu Jiajun , Xia Fan , Lou Xiaoding 
Published: September 2024

AbstractThe burgeoning demand for healthcare monitoring has brought field effect transistor (FET) biosensors into the spotlight as a highly efficient detection technology. FET biosensors offer inherent advantages including high sensitivity, rapid response times, operational simplicity, integrability, and label‐free detection. These characteristics render them particularly well‐suited for detecting a diverse array of physiological parameters and biomarkers, thereby furnishing real‐time data crucial for personalized medicine and disease prevention. This review aims to elucidate recent advancements in FET biosensors within the realm of healthcare management encompassing several facets. Initially, this review systematically analyzes the device architecture, sensing mechanisms, and performance evaluation methods of FET biosensors to gain an in‐depth understanding of their operational principles and features. Subsequently, it focuses on the application of FET biosensors for detecting health‐related biomarkers encompassing nucleic acids, proteins, exosomes, viruses, etc. Lastly, the review presents engineered medical sensor prototypes predicated on FET biosensors, such as point‐of‐care testing devices, wearable sensors, and implantable sensors, underscoring their practical utility and potential in health management. In addition, the review addresses critical issues and prospects of using FET biosensors in healthcare monitoring, aiming to provide some references and insights for research and innovation in this field.
Nuciferine protects hyperandrogen‐injured ovarian granulosa cells by inhibiting ferroptosis via SOX2‐mediated activation of the SLC7A11/GPX4 axis
Authors: Yang Hongyu , Chen Shichao , Yin Shanshan , Ding Qi 
Published: September 2024

AbstractPolycystic ovary syndrome (PCOS) is a common endocrine disorder that can cause menstrual irregularities, infertility, polycystic ovaries, and metabolic abnormalities. Female reproductive health and quality of life are significantly affected by PCOS, which has recently been associated with ferroptosis in granulosa cells (GCs). Nuciferine (NF) is a naturally extracted substance with multiple pharmacological activities, which is reported with anti‐ferroptosis function. Herein, the influence of NF for androgen‐induced ferroptosis in GCs was investigated to explore the potential value of NF on treating PCOS. 10 μM NF and 20 μM NF were employed for treating KGN cells according to cell viability results. KGN cells were treated with 10 μM dehydroepiandrosterone (DHEA) for 1 day, followed by introducing 10 μM NF and 20 μM NF for 24 h. Strikingly reduced cell viability, increased lactate dehydrogenase release and reactive oxygen species (ROS) production, enhanced apoptosis, upregulated Bax, downregulated Bcl‐2, restrained malondialdehyde contents, and declined superoxide dismutase activity were observed in DHEA‐treated KGN cells, which were significantly reversed by NF. Significantly repressed GPX4, SLC7A11, and SOX2 levels, as well as increased ACSL4 levels and Fe2+ levels in DHEA‐treated KGN cells, were notably rescued by NF. Furthermore, the inhibitory effect of NF on ROS production and ferroptosis in DHEA‐treated KGN cells was partially abrogated by silencing SOX2. Collectively, NF protected DHEA‐injured ovarian GCs by inhibiting ferroptosis via upregulating SOX2.
An influence of electronic structure theory method, thermodynamic and implicit solvation corrections on the organic carbonates conformational and binding energies
Authors: Ryzhako Alexander S. , Tuma Anna A. , Otlyotov Arseniy A. , Minenkov Yury 
Published: September 2024

AbstractAn impact of an electronic structure or force field method, gas‐phase thermodynamic correction, and continuum solvation model on organic carbonate clusters (S)n conformational and binding energies is explored. None of the tested force field (GFN‐FF, GAFF, MMFF94) and standard semiempirical methods (PM3, AM1, RM1, PM6, PM6‐D3, PM6‐D3H4, PM7) can reproduce reference RI‐SCS‐MP2 conformational energies. Tight‐binding GFNn‐xTB methods provide more realistic conformational energies which are accurate enough to discard the least stable conformers. The effect of thermodynamic correction is moderate and can be ignored if the gas phase conformational stability ranking is a goal. The influence of continuum solvation is stronger, especially if reinforced with the Gibbs free energy thermodynamic correction, and results in the reduced spread of conformational energies. The cluster formation binding energies strongly depend on a particular approach to vibrational thermochemistry with the difference between traditional harmonic and modified scaled rigid – harmonic oscillator approximations reaching 10 kcal mol−1.
Engineered metal nanoparticles for precision drug delivery: Pioneering the future of medicine: Mini review
Authors: Ullah Mati , Shah Muhammad Ijaz , Hasan Muhammad Waqqas , Jamshed Muhammad , Mustafa Uswa , Inam Muhammad 
Published: September 2024

AbstractMetal nanoparticles (NPs) have emerged as crucial components in precision drug delivery, presenting innovative opportunities to significantly enhance therapeutic efficacy and targeting accuracy. This review investigates recent developments in the engineering of metal NPs, emphasizing their distinctive properties and novel applications in drug delivery systems. A comprehensive analysis is performed on gold, silver, iron, and zinc oxide NPs, emphasizing their exceptional physicochemical properties and enhanced drug‐loading capacities. These features collectively enable the development and implementation of targeted and controlled drug delivery systems, indicating a new era of advanced therapeutic approaches. This review article accomplishes this by reflecting on the transformative potential of metal NPs, envisioning heightened efficacy, minimized side effects, and improved patient outcomes within the dynamic landscape of drug delivery platforms.
Home and psychological well‐being in global consumer mobility
Authors: Sharifonnasabi Zahra , Mimoun Laetitia , Bardhi Fleura 
Published: September 2024

AbstractHome is typically understood as a singular place that provides a sense of groundedness, belonging, and well‐being. Yet, this singular notion of home is challenged in global mobility, where consumers live and travel across borders and relocate internationally frequently. We expect globally mobile consumers to experience multiple and multilayered notions of home with significant psychological consequences for their sense of well‐being, ownership, and identity. In a qualitative study of 40 globally mobile consumers, we examine what it means to have multiple homes and how consumers cope with it. We identified four types of home that coexist in global mobility: emotional home, home away from home, base of operation, and home on the road. These types are characterized by different degrees of permanence and serve different psychological benefits that are at times in opposition or complementary (respectively, belonging and ontological security, functioning and psychological ownership, productivity, and flexibility). We also explored how this home portfolio provokes emotional, social, and cognitive consequences with which globally mobile consumers cope through strategic use of marketplace resources.