bluuebunny/crossref_metadata_2025_split huggingface dataset:
Spousal age difference and risk of hypertension in women: evidence from India
Authors: Datta Biplab , Tiwari Ashwini , Jahan Murshed , Torres Natalia , Attari Sara 
Published: June 2024

Abstract

There has been steady progress in documenting the psychosocial risk factors of hypertension. However, most of the extant evidence is based on population from the developed countries. Using nationally representative data from India, this cross-sectional study explores whether spousal age gap is associated with risk of hypertension in married women aged 20 to 49 years. Based on the age difference with their husbands, women were grouped into four categories: husband was – i) of similar age, ii) 3–5 years older, iii) 6–9 years older, and iv) 10 + years older. Compared to women whose husbands were of similar age, the odds of having hypertension for the other categories were assessed by estimating multivariable logistic regression models. While the hypertension prevalence in our sample was 18.9%, it was 2.2%-points lower among women whose husbands were of similar age, and 3.3%-points higher among women whose husbands were 10 + years older. The adjusted odds of having hypertension for women with 10 + years of spousal age difference were 1.18 (95% CI: 1.13–1.24) times that of their counterparts who were of similar age to their husbands. These results were persistent in both younger (age 20–34) and older (age 35–49) women and robust across age at marriage, years in marriage, and various socioeconomic sub-groups including women’s educational attainment, husband’s educational level, household wealth, urban/rural residence, and geographic regions. The relationship also persisted after adjusting for husband’s hypertension status. Our findings thus highlight spousal age difference as a biopsychosocial factor influencing the risk of hypertension in women.
Dynamic Shaking Table Test of a Constructive Sytem With Timber Frame Structure and Light Earth Enclosure
Authors: Orihuela Germán Luis Francisco Becerra , Onnis Silvia , Meli Giuseppina , Rey Martin Franz Wieser , Schmidt Urbano Tejada 
Published: June 2024

Abstract

There is a large deficit of housing and equipment in Latin America, which needs to be addressed with more construction alternatives offering seismic safety, in addition to economical, comfortable, and sustainable solutions. The proposal of a modular system of prefabricated elements of a timber frame structure and light earth enclosure panels is a feasible option for seismic-prone regions. This article describes a shaking table test performed on a proposed timber frame structure with a light earth enclosure and sheathing of diagonal wooden laths as part of a larger framework that seeks to propose a constructive solution. The test aims to assess the model’s seismic performance, determine its fragilities, and calculate the system’s dynamic properties. The seismic performance showed two stages of damage: an elastic stage during frequent and rare earthquakes, where the immediate occupancy and operational states of the structure were proven, and an over-resistance stage during a very rare earthquake, where life-safety performance with reparable damage was observed. The model’s dynamic properties showed an overall increase in dumping related to the reduction of lateral stiffness, with the ability to deform and dissipate energy. Even though the system performed well, the test has shown some limits of the structure that should be considered for the construction of a future dwelling prototype.
Layered-Columnar Cathode Materials for Sodium-Ion Batteries
Authors: Liu Jianjun , Zhao Xiaolin , Li Yi , Wang Youwei , Song Erhong , Ma Ruguang 
Published: June 2024

Abstract

The advancement of cathode materials possessing high-rate capability and extended cycle life is crucial for the viability of large-scale energy storage in sodium-ion batteries. A novel layered-columnar material NaFe[O3PCH(OH)CO2] is designed with a 2D grid-like channels for sodium ion migration. Operating on the Fe2+/Fe3+ redox reaction, NaFe[O3PCH(OH)CO2] exhibits a reversible specific capacity of 106.1 mAh g-1 after 50th cycles within the voltage range of 1.5-4.2 V, reaching 93.4% of the theoretical specific capacity. Experimental and theoretical investigations have both demonstrated that NaFe[O3PCH(OH)CO2] exhibits low-strain characteristics during discharge and charge processes. The presence of stable C-P covalent bonds between organic layers and inorganic columns ([FeO6] and [CPO3]) plays a pivotal role in achieving its long cycle life. Even under high current rates of 2C, it maintains satisfactory capacities, delivering 61.6 mAh g–1 after the 1000th cycle. This study indicates that layered-columnar structure design provides an effective pathway to develop a new generation of cathode materials with high performance in sodium-ion batteries.
Carbon Peak Trends and Stepped Emission Reduction Paths in Yangtze River Economic Belt Cities
Authors: xia yihan , ji kaiwen , wang wenqiang , tang wenying 
Published: June 2024

Abstract

Cities not only contribute significantly to carbon emissions but also serve as key drivers for promoting carbon emission reduction. They play a pivotal role in demonstrating the achievement of 'carbon peak' and 'carbon neutrality' objectives. This paper utilizes DMSP/OLS stable nighttime lighting data from 2000 to 2013 and NPP/VIIRS nighttime lighting data from 2013 to 2019 to simulate the carbon emissions of cities within the Yangtze River Economic Belt. A BP neural network model is constructed and combined with scenario analysis and a geographically weighted regression model to systematically analyze the carbon emission characteristics, carbon peak trends, and graded carbon emission reduction paths of cities within the Yangtze River Economic Belt. This analysis considers various factors such as time series, geography, and per capita metrics. Subsequently, tailored graded carbon emission reduction paths and countermeasures are proposed for different types of cities experiencing various carbon peak scenarios, aiming to accelerate carbon emission reduction efforts within the Yangtze River Economic Belt.
A Survey on Fault Detection in Industrial IoT: A Machine Learning Approach with Emphasis on Federated Learning and Intrusion Detection Systems
Authors: Elmazi Klea , Elmazi Donald , Lerga Jonatan 
Published: June 2024

Abstract

In recent years, the Internet of Things (IoT) has received a lot of attention and research. The concept of Industrial IoT (IIoT) has emerged from the con- vergence of information technology (IT) and industrial automation and control systems. The increasing number of disjointed IoT networks deployed in many industrial sectors has exposed vulnerabilities leading to security incidents, jeopar- dizing the overall security of IIoT systems. This paper provides a comprehensive survey, analyzing and comparing current technologies for securing IIoT networks. Researchers have developed various detection strategies supported by machine learning (ML) approaches. Federated Learning (FL) offers lower latency and pre- serves privacy, emerging as a promising distributed ML paradigm that enhances detection performance. Several challenges and recommendations are defined in the context of intrusion detection systems (IDS) as a security monitoring mechanism.
Antiviral Activity of Baicalin Against Infectious Bronchitis Virus
Authors: He Jiongjie , Wang Shengyi , Guo Huilin , Zhang Yong 
Published: June 2024

Abstract

Background
Baicalin, the main metabolic component of Scutellaria Baicalin Georgi, displays potent anti-inflammatory, anti-oxidant, anti-apoptotic, anti-bactericidal, and antiviral properties. Baicalin was found to be effective in the treatment of infectious bronchitis (IB) in chickens. However, the molecular mechanism of treatment remained unclear. Therefore, in this study, the antiviral activities of baicalin on infectious bronchitis virus (IBV) were evaluated in vitro and in vivo for the first time, to explore the molecular mechanism of baicalin inhibiting IBV replication.
Results
Treatment with 20 µg/mL baicalin significantly reduced relative mRNA expression and IBV viral titers, a finding confirmed by immunofluorescence studies in chicken embryo kidney (CEK) cells. Baicalin treatment at a dose of 45 mg/kg significantly reduced IBV induced injury in the trachea, lung and kidney. Baicalin treatment also led to an upregulation of both interferon-α (IFN-α) and Interferon-β (IFN-β), with IFN-β increased the most. Although treatment with baicalin did not influence the mRNA expression of melanoma differentiation associated gene 5 (MDA5), Toll-like receptor 3 (TLR3), and Toll-like receptor 9 (TLR9), mRNA levels of mitochondrial antiviral signaling gene (MAVS), TANK binding kinase 1 (TBK1), and Interferon regulatory factor 7 (IRF7) increased, with MAVS showing the largest increase amongst all cytokines measured in vitro. Overexpression of MAVS significantly upregulated the expression of IFN-β and reduced the viral titer of IBV. Knockdown of MAVS significantly affected the antiviral effect of baicalin on IBV.
Conclusions
Baicalin possesses significant anti-IBV effects in vitro and in vivo. Baicalin-induced increases in the expression of type I interferons in CEK cells after IBV infection is likely linked to increased signaling through the enhanced MAVS expression in the MDA5 pathway. Baicalin’s inhibition of IBV replication was also closely related to MAVS cytokines, but not dependent on MAVS expression. These findings are important to accelerate our understanding of the antiviral effects of baicalin and provide new insights into the development of effective therapeutic strategies.
Uridine diphosphate (UDP)- glycosyltransferases (UGTs) confer insecticide resistance in the major malaria vectors Anopheles gambiae s.l and Anopheles funestus
Authors: Logan Rhiannon Agnes Ellis , Mäurer Julia Bettina , Wapler Charlotte , Ingham Victoria Anne 
Published: June 2024

Abstract

Malaria remains one of the highest causes of morbidity and mortality, with 249 million cases and over 608,000 deaths in 2022. Insecticides, which target the Anopheles mosquito vector, are the primary method to control malaria. The widespread nature of resistance to the most important insecticide class, the pyrethroids, threatens the control of this disease. To reverse the stall in malaria control there is urgent need for new vector control tools, which necessitates understanding the molecular basis of pyrethroid resistance. In this study we utilised multi-omics data to identify uridine-diphosphate (UDP)- glycosyltransferases (UGTs) potentially involved in resistance across multiple Anopheles species. Phylogenetic analysis identifies sequence similarities between Anopheline UGTs and those involved in agricultural pesticide resistance to pyrethroids, pyrroles and spinosyns. Expression of five UGTs was characterised in An. gambiae and An. coluzzii to determine constitutive over- expression, induction, and tissue specificity. Furthermore, a UGT inhibitor, sulfinpyrazone, restored susceptibility to pyrethroids and DDT in An. gambiae, An. coluzzii, An. arabiensis and An. funestus, the major African malaria vectors. Taken together, this study provides clear evidence of the role of UGTs in pyrethroid resistance as well as highlighting the potential use of sulfinpyrazone as a novel synergist for vector control.
Effect of acute exercise on gene expression in peripheral blood mononuclear cells of puberty children
Authors: Du Li-Jun , Song Yu-Hong , Tang Li-xu 
Published: June 2024

Abstract

Abstract Background: Studies have shown that acute exercise alters the expression of circulating neutrophil and peripheral blood mononuclear cell (PBMC) genes, affecting a wide range of processes from cellular growth to the promotion of inflammatory and anti-inflammatory responses.In this study, we identified differential gene expression associated with acute exercise and PBMC in puberty children through the GEO database. We utilized bioinformatics technology to analyze the impact of acute exercise on PBMC and identified key genes involving the puberty children.
Methods: Combining two datasets of gene expression, we identified 197 shared differentially expressed genes (DEGs) in PBMC before and after exercise. We conducted pathway analysis of these DEGs and built a gene co-expression network. The identification of hub genes was achieved through the utilization of protein-protein interaction (PPI) networks.
Results: 268 shared DEGs were identified in the GSE11761 dataset in pre- and post-exercise groups, while 352 differential genes were identified between the pre- and post-exercise groups of females in the GSE14642 dataset. A total of 197 shared genes were identified between the two datasets. Seven core genes were identified by MCODE and CytoHubba, namely IL2RB, KLRD1, GZMB, TBX21, PRF1, HAVCR2, and GZMA.
Conclusion: Bioinformatics techniques are effective in screening and analyzing PBMC-associated DECs in children undergoing acute pre- and post-exercise puberty. Microarray analysis of PBMCs in children undergoing puberty can identify molecules that may predict acute exercise responses. This study provides insights for further exploration of the mechanisms and targets of acute exercise on the organism.
Studies on the Probiotic, Adhesion and Induction Properties of Artisanal Lactic Acid Bacteria: To Customize a Gastrointestinal Niche to Trigger Anti-Obesity Functions
Authors: Kamber Aslihan , Albayrak Cisem Bulut , Harsa Hayriye Sebnem 
Published: June 2024

Abstract

Aims: The primary goals of this work are to explore the potential of probiotic LAB's mucin/mucus layer thickening properties and to identify anti-obesity candidate strains that improve appropriate habitat for use with the Akkermansia group population in the future.
Methods and Results: The HT-29 cell binding, antimicrobial properties, adhesion to the mucin/mucus layer, growth in the presence of mucin, stability during in vitrogastrointestinal (GI) conditions, biofilm formation, and mucin/mucus thickness increment abilities were all assessed for artisanal LAB strains. Sixteen LAB strains out of 40 were chosen for further analysis based on their ability to withstand GI conditions. Thirteen strains maintained their vitality in the simulated intestinal fluid, whereas the majority of the strains displayed high viability in the gastric juice simulation. Furthermore, 35.2-65.4% of those 16 bacteria adhered to the mucin layer. Besides, different lactate levels were produced, and Streptococcus thermophilusUIN9 exhibited the highest biofilm development. Also, with a 50 mM lactate concentration and the presence of mucin that had been injected originally, Lacticaseibacillus casei NRRL-B 441 had the maximum amount of mucin (321.6 µg/mL).
Conclusions: Two isolates of olive bacteria from Lactiplantibacillus plantarum were chosen as the anti-obesity prototype candidates; these strains did not consume mucin sugars.
Significance and Impact of the Study: Probiotic LAB's attachment to the colonic mucosa and its ability to stimulate HT-29 cells to secrete mucus are critical mechanisms that may support the development of Akkermansia.
Analysis of the Dissemination Effect and Related Factors of Articles on a Provincial CDC WeChat Official Account
Authors: Zhang Mengyuan , Xu Xuepeng , Zhen Shiqi , Zhu Chenyu , Zhu Lin , Ji Lili 
Published: June 2024

Abstract

Objective:To analyze the characteristics, reading, and sharing data of the articles published on the "Jiangsu CDC" WeChat Official Account, and provide a reference for further optimizing communication strategies.
Methods:Based on relevant primary data from the WeChat Official Account backend, the Read Index, Share Index, Read Index after Share, and Complete Index were calculated. Non-parametric tests and multiple linear regression analysis were used to analyze the factors influencing the dissemination effect.
Results: The median Read Index of the articles was 0.360 (0.160, 0.900). Headline article (B=0.408, 95% CI: 0.085, 0.731), video form (B=-0.499, 95% CI: -0.917, -0.081), and publicity report (B=-0.504, 95% CI: -0.933, -0.075) were influencing factors for article reading (P<0.05). The median Share Index was 3.040 (1.740, 4.640), and disease prevention knowledge (B=-1.443, 95% CI: -2.459, -0.427), publicity report (B=-2.677, 95% CI: -4.110, -1.245), and seasonal health tips (B=-1.861, 95% CI: -3.224, -0.498) were influencing factors for article sharing (P<0.05). The influencing factor regression analysis for the Read Index after Share showed no statistical difference. The median Complete Index was 21.280 (14.985, 86.665), and video form (B=32.967, 95% CI: 9.722, 56.211) was an influencing factor for complete article reading (P<0.05).
Conclusion: It is necessary to strengthen the supply of high-quality resources, pay attention to developing text-with-images and poster articles, strengthen integration and collaboration, build a multidimensional communication matrix, and expand the influence of science popularization brands.
Using structural equation modeling to determine the cognitive functions of older adults from their driving operation data
Authors: TANABE Hiroko , YOSHIHARA Yuki , KARATAS Nihan , TANAKA Takahiro , KOJIMA Motoshi , ENDO Masato , MANABE Shuhei 
Published: June 2024

Abstract

Declining cognitive and motor functions make safe driving difficult for older adults. Trail Making Test (TMT) scores are reported to facilitate the estimation of cognitive functions in older adults and enable correlations with parameters associated with driving skills and vehicle speed. However, the causal relationships between cognitive functions and discrete driving-related parameters remain unclear. First, this study examined the correlations between the TMT indices and driving-related parameters of older adult drivers. Next, it used structural equation modeling to express the causal relationships between the parameters and TMT indicators. Thirty older adult drivers accomplished an intersection passage task on a driving simulator (DS) and consecutively performed multiple TMT iterations. Vehicle operation data collected from DS logs, data on head motions to confirm safety at an intersection, and accumulated TMT scores indicating cognitive functions enabled this study to determine correlations between the TMT indices and the parameters of pedal operation (vehicle speed), steering (steering input and lateral vehicle position), and head motion (horizontal angle and velocity). Models were then created to discern relationships between these parameters and the cognitive functions of older adult drivers. The study results indicate the possibility of automatically estimating the cognitive functions of older adult drivers from their daily driving-related data.
Medical talent gap analysis based on natural language processing
Authors: Chen Yirui , Zhan Xinrui , Yang Wencan , Yan Xueying , Du Yuxin , Zhao Tieniu 
Published: June 2024

Abstract

As healthcare demands technical skills like data analysis and project management, there is a widening talent gap in the medical field. To bridge this gap, this paper uses natural language processing to analyze healthcare job listings, revealing specific skills and management capabilities in high demand.The study applied natural language processing techniques to analyze 42,032 healthcare job listings caught by web crawler technology, extracting and analyzing data on required skills, qualifications, and roles within the sector.The analysis found a need for tech skills like data analysis and AI in healthcare, alongside management expertise. The sector values innovation, research, and data privacy, crucial for strategic talent development and policy-making to enhance service quality and industry growth.The study shows healthcare's growing demand for tech and management skills, promising better patient care and efficiency. Responsible innovation, compliance, and data privacy are key. These insights help stakeholders bridge talent gaps and meet evolving healthcare needs.
Risk factors for all-cause mortality during the COVID-19 pandemic compared with the pre-pandemic period in an adult population of Arkhangelsk, Russia
Authors: Krieger Ekaterina , Kudryavtsev Alexander V. , Sharashova Ekaterina , Samodova Olga , Postoev Vitaly 
Published: June 2024

Abstract

We investigated and compared mortality rates and risk factors for pre-pandemic and pandemic all-cause mortality in a population-based cohort of men and women in Arkhangelsk, Russia. A prospective cohort study enrolled 2,324 participants aged 35 to 69 years between 2015 and 2017. All participants were followed up for all-cause deaths using the mortality registry. Mortality rates per 1000 person-years were calculated for men and women in the pre-pandemic and pandemic periods. Cox regression models were used to investigate demographic, lifestyle, and health characteristics associated with increased risk of death in both periods. During the pandemic, age-standardized all-cause mortality increased in women, but minor change was observed in men. Older age, smoking, and diabetes were associated with a higher risk of all-cause death in both periods and for both sexes. In women, higher risk during the pandemic was associated with obesity, angina, and elevated cystatin C levels. In men, asthma and elevated hs-Troponin T levels increased the risk of death during the pandemic, while elevated hs-CRP and NT-proBNP levels were associated with higher risk in both periods. Targeted preventive interventions for men and women with specific risk factors can be implemented during potential future infectious disease outbreaks.
Heat Transfer Enhancement and efficiency optimization of Novel Polygonal Collector Influence of Thermophysics Characteristic of Nanoparticles Using Response Surface Methodology
Authors: Baharloui Samaneh , Peiravi Mohammad Mohsen , Gorji Mofid 
Published: June 2024

Abstract

The novelty of present study is the improvement of thermal efficiency and energy management for novel polygonal collector, composed of chaotic TiO2 and LiBr nanoparticles. The optimization process of thermal efficiency is considered using response surface methodology. So, total temperature of octagonal collector influence of TiO2 Nano particles is 63.27% and 24.32% more than triangular and cubical collectors. Also, incident radiation of octagonal collector influence of TiO2 Nano particles is 3.56% and 4.52% more than triangular and cubical collectors. Moreover, the surface radiation absorption of the octagonal collector influence of LiBr Nano particles is 2.93% and 4.67% more than the triangular and cubical collectors. Moreover, the total ground heat flux of the octagonal collector influence of LiBr Nano particles is 74.26% and 74.63% more than the triangular and cubical collectors.