bluuebunny/crossref_metadata_2025_split huggingface dataset:
An indefinite proximal Peaceman-Rachford splitting method with a convex combination technique for separable convex programming
Authors: Jian Jinbao , Tang Xianke , Yin Jianghua , Han Daolan 
Published: November 2024

Abstract

In this paper, we consider the linearly constrained separable convex optimization problem, where the objective function is the sum of two individual extended real-valued functions without coupled variables. Based on the popular convex combination technique and with the help of the indefinite proximal regularization technique, we propose a novel Peaceman-Rachford splitting method (PRSM). The convex combination technique is integrated into the proximal term of the first subproblem, where the proximal matrix could be positive semidefinite so as to ensure the solution existence of the just-mentioned subproblem, while we allow the proximal term in the second subproblem to be indefinite but still guaranteeing the convergence of the proposed method theoretically. It is worth to mention that the range of the convex combination coefficient can be extended from $[0.618,1)$ to $(-1,1)$. Under some mild conditions, we establish the global convergence and ergodic $\mathcal{O}(\frac{1}{N})$ sublinear convergence rate measured by the function value residual and constraint violation, where $N$ denotes the number of iterations. To our knowledge, this is the first time that the convex combination technique has been used to accelerate the convergence of PRSM-based methods. Finally, numerical experiments are conducted to verify the effectiveness of the proposed algorithm in solving LASSO and total variation image restoration problems.
Mathematics Subject Classification 65K10 · 90C25 · 90C06
Use of physical fitness tests for remotely measuring physical fitness: a systematic review
Authors: Klein Thorsten , Worth Annette , Niessner Claudia , Hanssen-Doose Anke 
Published: November 2024

Abstract

Physical fitness is a critical marker of overall health across all age groups, influencing longevity and quality of life. This systematic review assessed the use of remote physical fitness assessments, a crucial adaptation during the COVID-19 pandemic that broadened access to health monitoring outside traditional settings. The review included 35 studies, covering various age groups and health conditions, and evaluated 48 physical fitness tests across eight physical fitness dimensions. Balance, muscular strength, and endurance were the most frequently assessed, with tests like the 30-second sit-to-stand (30s-STS) showing strong validity, reliability, and feasibility for remote use. However, the study population was mainly adults and older adults, with nearly no focus on children, revealing a significant gap in research for younger populations. Additionally, the review identified gaps in assessing dimension such as body composition, reaction time, and agility, which are crucial for a comprehensive assessment of physical fitness. These gaps underscore the need for further research and development of reliable and valid remote assessment tools. The findings of this review emphasize the importance of standardizing remote physical fitness assessments to ensure their validity, reliability, and feasibility making them effective tools for health monitoring across diverse populations and settings.
Genome-wide Analysis of the Cotton COBRA-like Gene Family and Functional Characterization of GhCOBL22 in Relation to Drought Tolerance
Authors: Fu Wanwan , Wang Ziyu , Liusui Yunhao , Zhang Xin , Han Aixia , Zhong Xinyue , Zhang Jingbo , Guo Yanjun 
Published: November 2024

Abstract

Background
The COBRA-like (COBL) gene family is a group of glycosylphosphatidylinositol (GPI)-anchored proteins that participate in various biological processes in plants by regulating the arrangement of cell wall microfibrils. While the functions of COBL genes have been analyzed in several plant species, their roles in cotton's response to abiotic stress remain unexplored.
Results
This study identified and characterized the COBL gene family in Gossypium hirsutum, revealing a total of 39 COBL family members classified into five subgroups. Transcriptome analysis indicated that the transcription levels of several GhCOBL genes were upregulated following PEG treatment, with GhCOBL22 being significantly induced. Further silencing of the GhCOBL22 gene through virus-induced gene silencing (VIGS) technology demonstrated that this gene's silencing decreased cotton's drought stress tolerance. Under drought stress conditions, the activities of superoxide dismutase (SOD), peroxidase (POD), and Catalase (CAT) enzymes, along with proline (PRO) content, were lower in GhCOBL22-silenced plants compared to control plants, while the accumulation of malondialdehyde (MDA)was significantly higher. Moreover, silencing the GhCOBL22 gene also led to reductions in cellulose, hemicellulose, and lignin levels in cotton.
Conclusion
A systematic survey of gene structure, chromosomal location, motif composition, and evolutionary relationships of the COBL gene family was conducted in Gossypium hirsutum. Subsequent expression and functional studies indicated that GhCOBL22 plays a significant role in cotton’s drought tolerance. These findings enhance our understanding of the biological functions of the COBL family and highlight the critical role of the GhCOBL22 gene in cotton’s response to drought stress.
WITHDRAWN: 3D Simulation of Thermo-hydraulic Performance in a SAH Duct having Trapezoidal Rib With Semicircular Tip’s Roughness
Authors: Kumar Mukesh , Kumar Arun 
Published: November 2024

Abstract

The THP of a trapezoidal rib with semicircular tips roughened SAH is investigated in this numerical simulation using CFD approaches. The 3-D geometry of the SAH is precisely modelled using ANSYS 18 including absorber plate with roughness characteristics. For Reynolds numbers ranging from 4,000 to 16,000, we study the effects of rib height and spacing on the SAH's pressure loss and heat transfer characteristics in turbulent flows. The simulated findings for the smooth SAH contrast with the well-known Blasius equation for fluid friction and the Dittus-Boelter equation for heat transfer. Mean percent variation of the simulated outcomes, reported at 1.83 and 4.32 for f and Nu respectively, shows the numerical technique's accuracy. According to the detailed modeling results, the THP of the SAH is substantially increased by reducing the rib gap and increasing the rib height. Thermo-hydraulic performance has a optimum value indicated by 2.34 at e = 2.5 mm and Re = 16000. The large-scale simulation findings provide insightful information that direct the best design and development of SAH with rough surfaces.
The Impact of Digital Literacy in Enhancing Individuals’ Health in China
Authors: Yang Jing , Shen Qianyu , Tong Xi , Mukhopadhaya Pundarik 
Published: November 2024

Abstract

Background
Health is the cornerstone of individual well-being and a vital factor in socioeconomic development. In an increasingly digitalized world, digital literacy has emerged as one of the indispensable abilities, which not only pertains to an individual’s capacity to acquire, analyze, evaluate, and utilize information but also profoundly influences their health behaviors, health decisions, and overall well-being. This paper uses the 2020 China Family Panel Studies (CFPS) data to explore digital literacy’s impact on individuals’ health.
Methods
By using the Entropy-TOPSIS method, this paper calculates digital literacy and adopts Ordered Probit and OLS models to analyze the impact of digital literacy on physical and mental health. Additionally, this paper employs the Two-Stage Least Squares (2SLS) to address endogeneity issues. The indirect effects of income, employment quality, and informal social support on individual’s digital literacy and health nexus are also examined by the mediation effect model.
Results
The results indicate that digital literacy positively impacts individuals’ physical and mental health, which was confirmed by several robustness tests. The heterogeneity analysis shows that digital literacy is more effective in enhancing the health of middle-aged and older groups as well as rural individuals in China. According to mechanism analysis, digital literacy can enhance the individuals’ health by boosting income, improving employment quality, and expanding informal social support.
Conclusion
Several policy suggestions emanate from the findings. To enhance the positive impact of digital literacy on individuals’ health the policy makers should emphasize on enhancing digital literacy particularly in rural areas and older age group, bridging the digital divide, refining employment services and embracing a healthy concept of online social networking.
In silico investigation and expression analysis of two-component regulatory systems in Proteus mirabilis
Authors: Gmiter Dawid , Omelaniuk Aleksndra , Sasal Wanesa , Petruńko Leon , Musial Klaudia , Nawrot Sylwia , Pacak Ilona , Wiesław Kaca 
Published: November 2024

Abstract

Background. Proteus mirabilis,
a Gram-negative bacterium from the Morganellaceae family, exists in various habitats, ranging from natural environmental sources to animal and human host. Therefore, it requires precise tuning of its metabolisms. Bacteria sense and respond to changes in their environment using two-component regulatory systems (TCSs).
Methods and Results.
In the presented work, a comparative in silico analysis of TCSs proteins encoded by the genome sequences of P. mirabilis strains obtained from public databases was performed. Additionally, the expression of genes encoding regulatory proteins in response to polymyxin B and H2O2 was analyzed using RT-qPCR. Obtained results revealed relative conservatisms of TCSs among P. mirabilis isolates, indicating, however, differences that might result in strains phenotypic diversity. Moreover, constitutive expression of genes coding regulatory proteins from studied TCSs conditions was observed under laboratory conditions.
Conclusions.
Presented study shed light on the role of TCSs in P. mirabilis. Further deepen research in this area might provide more effective means for controlling P. mirabilis infections.
Mapping Fifteen Years of Technological Pedagogical and Content Knowledge (TPACK) Model Applications in Higher Education
Authors: Zou Rong , Jiang Leilei , Cao Yixiao , Muthukrishnan Priyadarshini , Fauzi Muhammad Ashraf , Zhang Huan 
Published: November 2024

Abstract

This study presents a bibliometric analysis of the Technological Pedagogical Content Knowledge (TPACK) model’s evolution in higher education from 2007 to 2023, with 332 publications in WoS. Employing co-citation, bibliographic coupling, and co-word analyses, it examines key trends, thematic clusters, and the role of professional development and institutional support in TPACK integration. Results indicate that while TPACK’s foundational components—technology, pedagogy, and content—are essential, recent trends emphasize adaptability, self-efficacy, and digital competence as crucial for effective technology use. The COVID-19 pandemic further accelerated TPACK’s adoption, underscoring the importance of hybrid learning models and targeted training for educators. This study highlights areas of concentrated research within TPACK while identifying gaps that could inform future studies, providing insights for educators, researchers, and policymakers aiming to foster technology-enhanced teaching. Future directions suggest integrating emerging technologies like AI and virtual reality into TPACK and exploring region-specific factors affecting technology adoption in educational contexts.
A cross-sectional study of Mpox Knowledge, Attitudes toward Mpox Vaccination and Mpox Vaccine Hesitancy Among Teachers in Kenya
Authors: M.Mutua Patrick , Gicheru Micahel M. , Mutiso Joshua , Serem Erick 
Published: November 2024

Abstract

Background: Sixteen African countries, including Kenya, reported mpox cases in July and August, prompting the Africa Centers for Disease Control to declare the outbreak a Public Health Emergency of Continental Security on 13th August 2024. The World Health Organization issued an advisory for mpox-related prevention in schools whereby teachers are expected to support mpox-infected students. There is a dearth of information of mpox knowledge and attitudes toward mpox vaccination among teachers in Kenya.
Method: An online survey involving 1139 teachers was conducted from 21st August to 3rd October, 2024 to determine the level of mpox knowledge and attitudes toward mpox vaccine and hesitancy factors.
Results: The teachers’ mean mpox knowledge score was 8.2 out of 12 whereas the mean mpox attitude score was 3.7 out of 6. At the time of the survey, more than 34 % of the respondents were not aware of mpox cases in the country. The hesitancy rate for vaccination was 49.78 %. More than 62 % of participants cited concerns about vaccine side effects as the main reason for hesitancy. However, participants with certificate and diploma were more likely to accept to be vaccinated against mpox. Only 1.23 % of the participants received mpox information from the Teachers Service Commission. This study identifies gaps in mpox knowledge and attitudes toward mpox vaccination. It suggests that collaboration between the Teachers Service Commission and healthcare providers can ensure effective school community-based prevention strategies by improving mpox knowledge and attitudes toward mpox vaccination among teachers in Kenya.
The zero-carbon target for vehicle traffic in 2050: A pipe dream?
Authors: Lieven Theo 
Published: November 2024

Abstract

To achieve the goal of limiting global warming to 1.5°C, 2050 was declared the year of zero carbon. For global road traffic with passenger cars, the goal is to lower CO2 emissions by 3,200,000 tons (3.2 Mt) annually. In this study, 30 countries were examined to see whether and how the zero-carbon target can be achieved by 2050 through the promotion of electric vehicles and/or the decarbonization of electricity generation. While an extrapolation of historical data only leads to the target in a few countries by 2050, a combination of replacing all combustion engines with electric drives and switching to CO2-free electricity could lead to zero-carbon traffic. However, this is contradicted by the enormous number of electric vehicles to be sold until 2050, which the market cannot absorb due to saturation tendencies. The limit to the growth of electric drives hampers limiting the detriment of the prior unlimited growth of carbon drives.
Non-ordinary states of consciousness evoked by breathwork correlate with improved heart-rate variability
Authors: Canello Tiziano , Tlaie Alejandro , Chalise Kamlesh , Schölvinck Marieke L. , Pia Lorenzo , Havenith Martha N. 
Published: November 2024

Abstract

High ventilation breathwork is a breathing practice that involves deep, accelerated breathing over a prolonged duration (> 15 minutes). This basic practice underpins a wide range of traditions, from Pranayama to Holotropic and Conscious-Connected breathwork. Anecdotal reports suggest that it can benefit physical and mental health, often by evoking altered states of consciousness. However, scientific research on breathwork is still in its infancy. This study examines the physiological and experiential effects of Conscious-Connected Breathwork (CCB). Specifically, we characterize subjective breathwork experiences using Natural Language Processing analyses of semi-structured phenomenological interviews, and relate them to changes in Heart-Rate Variability (HRV). Finally, to disentangle the effects of the breathing technique itself from context effects, we tested whether the presence of evocative music modified the impact of the session. Our findings indicate that CCB consistently triggers altered states of consciousness, accompanied by increased emotional intensity and decreased HRV during the session, but increased baseline HRV following the session. This increase was larger for subjects who experienced a wider range of emotions during the session, but was not predicted by peri-session HRV. This suggests that post-session improvements of HRV might be a product of emotional catharsis rather than purely physiological hormesis. Finally, none of these effects was significantly modulated by music, indicating that they largely rely on the breathing practice itself.
Climate change adaptation through rainwater harvesting to enhance food security in Diamaré, Cameroon
Authors: Birka Rodrigue Jinyuy , Jude Kawzu Kum , Nnaji Chidozie Charles 
Published: November 2024

ABSTRACT

Climate change and variability pose significant challenges in Cameroon's Far North Region. Relying predominantly on rainfed agriculture, this region faces heightened rainfall fluctuations and droughts, severely impacting agricultural output and pushing farmers into precarious socioeconomic conditions. Despite other adaptive strategies, access to water remains a challenge, prompting this study to assess the impact of rainwater harvesting (RWH) on crop yields in the Diamaré area. In a farm experiment, the growth of okra, cucumber, lettuce, and cowpea grown purely under rainfed conditions was compared to those that were rainfed as well as supplemented with harvested rainwater during the dry spell of the rainy season. A rooftop RWH system was adopted for irrigation, and data on crop growth and final yields were collected. Statistical analysis revealed a statistically insignificant yet positive influence of rainwater on the growth, development, and ultimate yield of okra, lettuce, and cucumber. The insignificant impact was due to minor differences in means of crop growth parameters. Despite minimal differences in means, the study underscores the positive impact of RWH on crop yields in Diamaré. The findings advocate for the adoption of rooftop and other cost-effective RWH techniques to enhance farmers’ resilience and long-term economic benefits.
Understanding the influence of teleconnections on Indian summer monsoon rainfall and agricultural productivity: a case study of Haryana, India (1980–2023)
Authors: Chauhan Abhilash Singh , Rani Alka , Dahiya Pankaj , Maurya R K S , Danodia Abhishek 
Published: November 2024

ABSTRACT

This study examines the impact of interaction of El Niño-Southern Oscillation (ENSO) and Indian Ocean Dipole (IOD) teleconnections on Indian Summer Monsoon Rainfall (ISMR) in Haryana state, India, from 1980 to 2023. As the second-largest contributor of food grains in India, with 86% of its cultivated area, Haryana is vital for studying the impacts of teleconnections. Results indicate that ENSO has a stronger influence on ISMR than IOD, with significant correlations ranging from −0.69 to −0.15, while IOD correlations were non-significant, ranging from −0.25 to 0.12. During El Niño years with neutral IOD, rainfall reduced by up to 50%, while reductions were less during El Niño with positive IOD. These findings align with vertically integrated moisture transport and convective available potential energy data. The normalized difference vegetation index variation closely follows ISMR variation, indicating higher rainfall benefits vegetation growth while lower rainfall hampers it. Rice (Oryza sativa) cultivation increased, whereas crops like bajra (Pennisetum glaucum), maize (Zea mays), and jowar (Sorghum vulgare) showed varying trends. Regression analysis reveals complex relationships between temperature, rainfall, and crop productivity. This research enhances understanding of climate change effects on ISMR dynamics in Haryana, offering valuable insights for policymakers and stakeholders to optimize hydrological resource utilization.
A Model of Trust in Online COVID-19 Information and Advice: Cross-Sectional Questionnaire Study
Authors: Sillence Elizabeth , Branley-Bell Dawn , Moss Mark , Briggs Pam 
Published: November 2024

Background
During the COVID-19 pandemic, many people sought information from websites and social media. Understanding the extent to which these sources were trusted is important in relation to health communication.

Objective
This study aims to identify the key factors influencing UK citizens’ trust and intention to act on advice about COVID-19 found via digital resources and to test whether an existing model of trust in eHealth provided a good fit for COVID-19–related information seeking online. We also wished to identify any differences between the evaluation of general information and information relating specifically to COVID-19 vaccines.

Methods
In total, 525 people completed an online survey in January 2022 encompassing a general web trust questionnaire, measures of information corroboration, coping perceptions, and intention to act. Data were analyzed using principal component analysis and structural equation modeling. The evaluation responses of general information and COVID-19 vaccine information were also compared.

Results
The principal component analysis revealed 5 trust factors: (1) credibility and impartiality, (2) familiarity, (3) privacy, (4) usability, and (5) personal experiences. In the final structural equation modeling model, trust had a significant direct effect on intention to act (β=.65; P<.001). Of the trust factors, credibility and impartiality had a significant positive direct effect on trust (β=.82; P<.001). People searching for vaccination information felt less at risk, less anxious, and more optimistic after reading the information. We noted that most people sought information from “official” sources. Finally, in the context of COVID-19, “credibility and impartiality” remain a key predictor of trust in eHealth resources, but in comparison with previous models of trust in online health information, checking and corroborating information did not form a significant part of trust evaluations.

Conclusions
In times of uncertainty, when faced with a global emergent health concern, people place their trust in familiar websites and rely on the perceived credibility and impartiality of those digital sources above other trust factors.