bluuebunny/crossref_metadata_2025_split huggingface dataset:
Hyperosmotic Stress Promotes the Nuclear Translocation of TFEB in Tubular Epithelial Cells Depending on Intracellular Ca2+ Signals via TRPML Channels
Authors: Miyano Takashi , Suzuki Atsushi , Konta Hisaaki , Sakamoto Naoya 
Published: January 2025

Abstract

Purpose
We previously demonstrated that hyperosmotic stress, which acts as mechanical stress, induces autophagy of tubular epithelial cells. This study aims to elucidate the molecular mechanisms of hyperosmolarity-induced autophagy. The research question addresses how hyperosmotic stress activates autophagy through transcription factor EB (TFEB) and Ca2+ signaling pathways, contributing to understanding cellular responses to mechanical stress.

Methods
NRK-52E normal rat kidney cells were subjected to hyperosmotic stress using mannitol-containing medium. Fluorescence microscopy was utilized to observe TFEB nuclear translocation, a crucial event in autophagy regulation. An intracellular Ca2+ chelator, BAPTA-AM, and a calcineurin inhibitor were used to dissect the Ca2+ signaling pathway involved in TFEB translocation. The phosphorylation of p70S6K, a substrate of the mammalian target of rapamycin complex 1 kinase, was analyzed to explore its role in TFEB localization. Additionally, the function of transient receptor potential mucolipin 1 (TRPML1), an intracellular Ca2+ channel, was assessed using pharmacological inhibition to determine its impact on TFEB translocation and autophagy marker LC3-II levels.

Results
Mannitol-induced hyperosmotic stress promoted the nuclear translocation of TFEB, which was completely abolished by treatment with BAPTA-AM. Inhibition of calcineurin suppressed TFEB nuclear translocation under hyperosmolarity, indicating that a signaling pathway governed by intracellular Ca2+ is involved in TFEB’s nuclear translocation. In contrast, hyperosmotic stress did not significantly alter p70S6K phosphorylation. Pharmacological inhibition of TRPML1 attenuated both TFEB nuclear translocation and LC3-II upregulation in response to hyperosmotic stress.

Conclusions
Hyperosmotic stress promotes TFEB nuclear localization, and TRPML1-induced activation of calcineurin is involved in the mechanism of hyperosmolarity-induced autophagy.
2021 European Society of Cardiology guidelines on cardiac pacing and cardiac resynchronisation therapy
Authors: Maass Alexander H. , Tuinenburg Anton , Mairuhu Gideon , Faes Miriam C. , Klinkenberg Theo J. , Ruigrok Sanne , Koster Marjolein , Stegeman Bernardine H. , Luermans Justin G. L. M. 
Published: January 2025

Abstract
The European Society of Cardiology (ESC) has updated its guidelines on cardiac pacing and cardiac resynchronisation. As the majority are class II recommendations (61%) and based on expert opinion (59%), a critical appraisal for the Dutch situation was warranted. A working group has been established, consisting of specialists in cardiology, cardiothoracic surgery, geriatrics, allied professionals in cardiac pacing, and patient organisations with support from the Knowledge Institute of the Dutch Association of Medical Specialists. They assessed the evidence leading to the recommendations and the suitability for daily Dutch practice. Several recommendations have been amended or omitted altogether if a conflicting Dutch guideline has recently been published, such as a guideline on performing magnetic resonance imaging in patients with cardiac implantable electronic devices. The recent Dutch guideline on implantable cardioverter defibrillator implantation in patients with non-ischaemic cardiomyopathy has recommended implanting cardiac resynchronisation therapy devices without a defibrillator function. Shared decision making has received a more prominent role in the ESC guidelines and is discussed in more detail in this document. The recommendations given in this document are intended for health care professionals involved in the care of patients with an indication for cardiac pacing and are approved by the participating professional societies and the patient organisation Harteraad.
Fascinating physicochemical features of wasted biomass nanoscale biosorbent for heavy metal ions removal from water
Authors: Sanad M. N. , Okil M. , ElFaham M. M. 
Published: January 2025

Abstract
Pollution of aquatic systems and habitats by heavy metals is a significant concern to the ecosystem and health of humans as it arises from different sources, including industrial discharges, agricultural activities, mining activities, and disposal of toxic substances. Heavy metals introduced in water bodies may also come through leachates from contaminated soils and sediments. Subsequent bioaccumulation in marine organisms and spheres of life around lakes, rivers, and oceans is inevitable upon their introduction. Recently, some studies have shed light on nano-waste biomass (NWB), which can be deliberately used to remove heavy metal ions from polluted waters. It is produced from eco-friendly agro-industrial and is treated on the nanometer scale, which enhances adsorption because its size has increased, increasing its surface area and active sites for binding. This novel technology deals with heavy metal pollution and waste management, as it helps recycle unwanted materials into useful adsorbents, thereby minimizing incinerators and reducing tree cuts. Metal ions from water can be removed through adsorption, where NWB is bonded to metal ions. NWB has been acknowledged as an economically viable and environmentally benign means of decontamination. Advanced analytical methods, such as X-ray diffusion, field emission scanning electron microscopy, high-resolution transmission electron microscopy, and others, were used for the extensive characterization of NWB. The lemon peel nanoparticles exhibited a particle size range of 40 nm–65 nm. Additionally, a few experiments about contact time and pH were performed to improve NWB adsorption and increase NWB efficiency in eradicating heavy metal ions from polluted water sources.
Loneliness, social isolation, and living alone: a comprehensive systematic review, meta-analysis, and meta-regression of mortality risks in older adults
Authors: Nakou Agni , Dragioti Elena , Bastas Nikolaos-Stefanos , Zagorianakou Nektaria , Kakaidi Varvara , Tsartsalis Dimitrios , Mantzoukas Stefanos , Tatsis Fotios , Veronese Nicola , Solmi Marco , Gouva Mary 
Published: January 2025

Abstract
Loneliness, social isolation, and living alone are significant risk factors for mortality, particularly in older adults. This systematic review and meta-analysis aimed to quantify their associations with all-cause and cause-specific mortality in older adults, broadening previous research by including more social factors. Comprehensive searches were conducted in PubMed, APA PsycINFO, and CINAHL until December 31, 2023, following PRISMA 2020 and MOOSE guidelines. Studies included were prospective cohort or longitudinal studies examining the relationship between loneliness, social isolation, living alone, and mortality. Quality was assessed using the Newcastle-Ottawa Scale. Meta-analyses used random-effects models with the Restricted Maximum Likelihood method. Subgroup and meta-regression analyses explored the relationships further. Of 11,964 identified studies, 86 met the inclusion criteria. Loneliness was associated with increased all-cause mortality (HR 1.14, 95% CI 1.10–1.18), with substantial heterogeneity (I² = 84.0%). Similar associations were found for social isolation (HR 1.35, 95% CI 1.27–1.43) and living alone (HR 1.21, 95% CI 1.13–1.30). Subgroup analyses revealed variations based on factors like sex, age, region, chronic diseases, and study quality. Meta-regression identified longer follow-up, female sex, validated social network indices, adjustments for cognitive function, and study quality as significant predictors of mortality risks. These findings highlight the need for public health interventions to address these social factors and improve health outcomes in older adults. However, further research is needed due to variability and heterogeneity across studies. Also studying the cumulative effect of these factors on mortality risks will be of considerable interest.
Impedance Tube Solution for Helmholtz Resonator Prototyping
Authors: Jun David , Plasek Josef 
Published: January 2025

Abstract
Transfer function method impedance tube measurement is a well-known approach used for determining acoustical properties of mostly porous materials. This paper presents a prototype of impedance tube together with the software solution published under open-source license. The prototype is developed specifically for experimental design of Helmholtz resonators. For room acoustic purposes, these are difficult to sufficiently characterize by other methods because of their highly frequency dependent complex-valued pressure reflection factor resulting in large phase shifts happening upon reflection. The main benefits of the presented method are the movable rigid termination operated by a stepper motor and the use of open-source libraries as well as widely available hardware for the whole measurement.
Unlocking the Potential of Predictive Maintenance for Intelligent Manufacturing: a Case Study On Potentials, Barriers, and Critical Success Factors
Authors: Hoffmann Marcel André , Lasch Rainer 
Published: January 2025

Abstract
Predictive maintenance (PdM) is a data-driven maintenance strategy that aims to avoid unplanned downtimes by predicting the remaining lifetime of maintenance objects. Thus, unnecessary replacements of spare parts and critical process disturbances due to breakdowns can be avoided. Despite the widely recognized advantages of this technology, the number of successful applications in practice is still very limited. Our study aims to address the theory-practice gap by conducting a comprehensive case study involving 15 expert interviews with industry professionals to uncover critical factors that hinder the successful implementation of PdM. Our findings shed light on the underlying reasons for a hesitant PdM implementation, including challenges related to digital readiness, data quality and accessibility, technological integration, and maintenance organization. By providing an in-depth analysis of these factors, our study offers valuable insights and guidelines to improve the implementation success rate of PdM in the industrial context. Based on the empirical findings, we present critical implementation factors and develop a framework with ten propositions that aim to dismantle barriers in the industrial application process of PdM and stimulate further research in academia.
Inference on the shape of densities on Riemannian manifolds via SiZer
Authors: Jo Donghyeok , Jung Sungkyu 
Published: January 2025

Abstract
In this paper, we introduce a novel extension of SiZer to Riemannian manifolds as a tool for exploratory data analysis. The SiZer, first introduced by Chaudhuri and Marron (J Am Stat Assoc 94(447):807–823, 1999, https://doi.org/10.1080/01621459.1999.10474186) for analyzing univariate data, has been a useful tool for exploring and inferring the underlying features of data. Our method incorporates two sets of simultaneous testing procedures, targeting both first-order and second-order derivatives of the density on manifolds. This is facilitated through the evaluation of gradients and Hessians derived from kernel density estimates on i.i.d. samples from a distribution on manifolds, evaluated at a fine grid over the manifold. The gradient and the eigenvalues of the Hessian matrix provide a complete classification of local shapes in the case of two-dimensional manifolds, facilitating the identification of notable peaks, ridges, and other density features. While our definitions and methodologies are applicable across general Riemannian manifolds, we focus on the two-dimensional torus and unit spheres to further demonstrate our proposal. The utility of the extended SiZer is demonstrated in applications to real datasets of protein angles and an earthquake occurrence dataset, where it successfully identifies significant density features at various resolutions. A simulation study confirms that the proposed inference tools effectively control type I error rates while demonstrating substantial power in identifying density features.
MST1R Gene Variants Predispose Individuals to Tetralogy of Fallot
Authors: Feng Zhiyu , Huang Xianghui , Gao Yuan , Gao Han , Na Weilan , Tan Chaozhong , Min Shaojie , Lu Yuquan , Zhuang Quannan , Lin Siyi , Ma Xiaojing , Chen Weicheng , Yan Weili , Sheng Wei , Huang Guoying 
Published: January 2025

Abstract
Tetralogy of Fallot (TOF) is the most common cyanotic congenital heart malformation. While a few susceptibility genes for TOF have been identified, research on the genetic basis of TOF is limited. The Macrophage stimulating 1 receptor (MST1R) gene encodes the macrophage-stimulating protein receptor with tyrosine phosphatase activity that is involved in immune defense. In this study, we performed whole-exome sequencing (WES) on 10 TOF families and 50 sporadic TOF patients and identified a recessive homozygous missense mutation in MST1R, c.T2009G: p.V670G, in two offspring with TOF in a single family. Targeted sequencing of the MST1R gene showed enrichment for rare variants in 417 TOF patients compared with East Asians in Genome Aggregation Database Version 2 (gnomADv2_EAS). MST1R-deficient human induced pluripotent stem cells (hiPSCs) maintained normal pluripotency but differentiated into non-functional cardiomyocytes (CMs). Taken together, our findings indicate that MST1R may play a critical role in cardiac differentiation and genetic variations in MST1R may be associated with the pathogenesis of TOF.
Exploring the relationship between mental health issues and academic performance of undergraduate students in a Ghanaian tertiary institution: a cross-sectional study
Authors: Arthur Andrew Nketsia , Fraikue Joanne , Adu-Amankwah Bijoux , Ofori Richard , Sekyi Dorcas , Boateng Abena Afrakomah , Asamoah Elsie , Appiah Seth Christopher Yaw 
Published: January 2025

Abstract

Background
Mental health associations with students’ academic outcomes are critical for students’ well-being and excellent performance, particularly among tertiary students in their educational trajectory. This study investigated the relationship between mental health incidence and academic performance among university students in a public university in Ghana. Additionally, we study students’ level of mental health awareness.

Methods
The study adopted a quantitative study with an analytical cross-sectional design. Through the multistage sampling technique, structured questionnaires were administered to 384 undergraduate students at Kwame Nkrumah University of Science and Technology (KNUST). Data management and analysis were performed using SPSS v.27. Descriptive data are presented in tables and reported as frequencies. Inferential analysis was conducted using a multilevel logistic regression model and a p-value of 0.05 was considered to indicate statistical significance.

Results
Severe depression (p = 0.016, ϰ2 = 0.784) was significantly associated with students’ academic performance. Severe anxiety (p = 0.020, ϰ2 = 11.700), gender (p = 0.014, ϰ2 = 5.999) and self-efficacy (p = 0.015, ϰ2 = 5.939), were found to have a statistically significant association with academic performance (p < 0.05). According the multilevel analysis, females experiencing mental health had reduced likelihood of achieving high academic performance compared to male students (AOR = 0.343, 95% CI 0.144–0.813, p = 0.015). Severely depressed students (AOR = 0.264, 95% CI 0.084-0.830, p = 0.23) are significantly less likely to increase their Cumulative Weighted Average (CWA). Self-efficacious students (AOR = 3.325, 95% CI 1.421-7.784, p = 0.06) were three times more likely to increase their CWA.

Conclusion
Severe depression causes a reduction in students’ academic performance, while high academic self-efficacy among students serves as a protective factor by facilitating an increase in students’ CWA when they encounter mental health issues.
Mitigating Structural Inequities in U.S. Agricultural Risk Management
Authors: Hagerman Amy D. , Schaefer K. Aleks , Van Leuven Andrew J. , Tsiboe Francis , Young Alicia M. , Zereyesus Yacob Abrehe 
Published: January 2025

Abstract
The USDA has implemented policies to address inequities for socially disadvantaged farmers and ranchers. This research examines agricultural risk inequities and the impact of 2018 Farm Bill programs on crop insurance use among minority and veteran farmers. Results indicate that minority and veteran farmers are disproportionately located in regions of the U.S. with higher risks of drought and excess precipitation. Yet, these producer groups had lower use of crop insurance prior to the implementation of the 2018 Farm Bill. However, the incentive programs created under the 2018 Farm Bill have increased use of federal crop insurance among these vulnerable populations.
Capacity assessment of vertiports with a scheduling algorithm considering quality of service
Authors: Li J. , Zhang H. , Yi J. , Deng C. , Zhou J. 
Published: January 2025

Abstract
Urban air mobility (UAM) utilising novel transportation tools is gradually being recognised as a significant means to alleviate ground transportation pressures, vertiports which serve as pivotal nodes in UAM require efficient methods for assessing its operational capacity to develop an appropriate operational strategy and help to design vertiport ground infrastructure scientifically. This study proposes a multi-dimensional assessment method for the capacity of vertiports considering throughput and quality of service based on genetic algorithm (CEGA). The method comprehensively considers constraints such as unmanned aerial vehicle (UAV) safety separation, battery endurance, number of landing vertipads and UAV speed. The experimental results indicate that the vertiport with the scheduling algorithm proposed by this study has a larger capacity and experiences fewer delay than the vertiport with first-come-first-served (FCFS) algorithm when the vertiport has the same limited number of vertipads. Different proportions of UAVs significantly affect the quality of service and the degree of operation delays. The weights of vertiport throughput and customer satisfaction are the parameters that represent the importance of throughput and customer satisfaction in the objective function of the capacity assessment model. When the weights of throughput and customer satisfaction are set to 0.8 and 0.2 respectively, the performance of this optimisation model is optimal. This study provides a novel solution for capacity assessment and operation scheduling of vertiports, laying the foundation for improving the efficiency of UAM operations.
On trusting chatbots
Authors: Magnus P.D. 
Published: January 2025

Abstract
This paper focuses on the epistemic situation one faces when using a Large Language Model based chatbot like ChatGPT: When reading the output of the chatbot, how should one decide whether or not to believe it? By surveying strategies we use with other, more familiar sources of information, I argue that chatbots present a novel challenge. This makes the question of how one could trust a chatbot especially vexing.
Monsoon-regulated marine carbon reservoir effect in the northern South China Sea
Authors: Yang Ling , Zhou Weijian , Cheng Peng , Zhang Luyuan , Wei Gangjian , Ma Xiaolin , Zhou Jie , Yan Hong , Chen Ning , Hou Yaoyao 
Published: January 2025

Abstract
The ubiquitous marine radiocarbon reservoir effect (MRE) constrains the construction of reliable chronologies for marine sediments and the further comparison of paleoclimate records. Different reference values were suggested from various archives. However, it remains unclear how climate and MREs interact. Here we studied two pre-bomb corals from the Hainan Island and Xisha Island in the northern South China Sea (SCS), to examine the relationship between MRE and regional climate change. We find that the MRE from east of Hainan Island is mainly modulated by the Southern Asian Summer Monsoon-induced precipitation (with 11.4% contributed to seawater), rather than wind induced upwelling. In contrast, in the relatively open seawater of Xisha Island, the MRE is dominated by the East Asian Winter Monsoon, with relatively more negative (lower) ΔR values associated with high wind speeds, implying horizontal transport of seawater. The average SCS ΔR value relative to the Marine20 curve is –161±39 14C years. Our finding highlights the essential role of monsoon in regulating the MRE in the northern SCS, in particularly the tight bond between east Asian winter monsoon and regional MRE.
Accessing old carbon influence on TOC 14C age and environmental change from the recent sediments in Lake Shira, Russia
Authors: Misra Satabdi , Kuzina Dilyara , Shen Tzu-Tsen , Chou Chun-Yen , Yusupova Anastasiya , Krylov Pavel , Nurgaliev Danis , Li Hong-Chun 
Published: January 2025

Abstract
We present 35 AMS 14C dates from 26 horizons on a 30-cm gravity core from Shira Lake in the republic of Khakassia, Central Russia. The chronology of the core is determined by 210Pb/137Cs dating results and interpretation of elemental geochemistry with historic documents, covering deposition since ca. 1870 CE. This study assesses the old carbon influence (OCI) on organic carbon 14C by comparison with the 210Pb/137Cs dates, sources of carbon, and lake conditions interpreted from elemental proxies. These include elemental concentrations in 0.5N HCl leaches and Aqua Regia dissolution fractions, as well as organic C, N and C/N measurements. From these data we establish a succession of the following six zones: I) (1870∼1900 CE) relatively fresh lake with high lake level, low productivity and high surface runoff (wet conditions); II) (1900∼1940 CE) a “white zone” reflected by high carbonate and low magnetic signal formed in a saline, oxidizing and holomictic lake stage; III) (1940∼1963 CE) reduced carbonate with elevated organic C, N, C/N, Mo and magnetic signal, indicating a stratified and anaerobic lake; IV) (1963∼1994 CE) increased salinity and productivity with the highest observed magnetic signal and elevated heavy metal and Mo contents, implying enhanced anoxic conditions and human impact; V) (1994∼2003 CE) high C/N, organic and carbonate contents suggesting meromictic and anaerobic lake conditions; VI) (2003∼2020 CE) decreased carbonate content with increased organic C and N, and heavy metals showing a deteriorating lake environment under human impact.
Evaluating sulfur-impurity removal and modern carbon contamination in different preparation methods for radiocarbon dating of soil samples by accelerator mass spectrometry
Authors: Koarashi Jun , Takeuchi Erina , Saito-Kokubu Yoko , Atarashi-Andoh Mariko 
Published: January 2025

Abstract
Radiocarbon (14C) dating of soil samples by accelerator mass spectrometry (AMS) has been proven useful for studying carbon (C) cycling in terrestrial ecosystems. However, this application has two primary difficulties in sample preparation: inhibition of graphite formation due to sulfur (S)-containing impurities and contamination of samples with modern C (MC). Herein, we evaluated these effects using three sample preparation methods (silver foil, silver wire, and Sulfix) by conducting AMS-14C measurements of a 14C-dead charred wood and S-rich soil samples. The preparation methods were all successful in graphite formation and AMS-14C measurement for soil samples with an organic S content <6.9 wt%. The methods showed different percent modern carbon (pMC) values from 0.16% to 0.64% for the 14C-dead sample. The results also revealed that across different methods, MC contamination can be significantly reduced by applying two-step procedure (combustion and subsequent reaction to remove S-containing impurities) during sample preparation. The three methods had a negligible influence on determining the 14C age for samples that were at least younger than 12,000 yr BP. As the 14C ages of the soil samples are typically younger than 12,000 yr BP, any method explored in this study can be employed for 14C dating with sufficient accuracy for application to C cycle studies.