bluuebunny/crossref_metadata_2025 huggingface dataset:
Effects of inulin-type oligosaccharides (JSO) from Cichorium intybus L. on behavioral deficits induced by chronic restraint stress in mice and associated molecular alterations
Authors: Yao Caihong , Jiang Ning , Sun Xinran , Zhang Yiwen , Pan Ruile , He Qinghu , Chang Qi , Liu Xinmin
Published: November 2024

Depression and anxiety are serious psychiatric disorders with significant physical and mental health impacts, necessitating the development of safe and effective treatments. This study aimed to evaluate the efficacy of Jiangshi oligosaccharide (JSO), a type of inulin-based oligosaccharide, in alleviating anxiety and depression and to investigate the underlying molecular mechanisms. Using a mouse model of chronic restraint stress (CRS), JSO was administered orally at doses of 50, 100, and 200 mg/kg for 21 days. Behavioral tests, including the novelty-suppressed feeding test (NSFT), open field test (OFT), elevated plus maze test (EPMT), tail suspension test (TST), and forced swimming test (FST), demonstrated that JSO significantly improved anxiety- and depressive-like behaviors (P< 0.05). Notably, JSO reduced feeding latency in the NSFT, increased time spent in the center in the OFT, enhanced time and entries into open arms in the EPMT, and decreased immobility time in the TST and FST (P< 0.01). Histological and molecular analyses revealed that JSO treatment attenuated neuronal loss in the hippocampus (Hip) and medial prefrontal cortex (mPFC) and reduced the expression of inflammatory markers such as Iba-1 and GFAP in these regions. JSO significantly downregulated the mRNA and protein expression of pro-inflammatory factors (IL-1β, TNF-α, IL-6) while increasing anti-inflammatory markers (IL-10, TGF-β) (P< 0.05). Furthermore, JSO inhibited the c-GAS-STING-NLRP3 axis and apoptosis-related proteins (Bax/Bcl-2, Caspase-3/8/9) while promoting the expression of brain-derived neurotrophic factor (BDNF), PSD-95, and synaptophysin (SYP), indicating improved neuronal survival and synaptic plasticity (P< 0.01). These findings suggest that JSO exerts potent anti-anxiety and antidepressant effects by modulating neuroinflammation, synaptic function, and neuronal apoptosis in the Hip and mPFC of CRS mice. This study highlighted JSO as a potential therapeutic agent for stress-induced anxiety and depression.
Pan-cancer analysis of CLDN18.2 shed new insights on the targeted therapy of upper gastrointestinal tract cancers
Authors: Wu Jun , Lu Jinghua , Chen Qiuyue , Chen Haojie , Zheng Yongqiang , Cheng Minggang
Published: November 2024

Background

CLDN18.2 is a widely researched drug target. However, previous research has primarily been based on immunohistochemistry results and focused on gastric cancer.

Methods

To analyze the potential cancer-targeting effect of CLDN18.2 from a multi-omics perspective, this study quantified CLDN18.2 expression in The Cancer Genome Atlas (TCGA) pan-cancer cohort. Thus, the relationships between CLDN18.2 expression and genomic alterations, immune infiltration, and prognosis were analyzed. Additionally, we performed analyses of the differentially expressed genes and enriched pathways between the high- and low-CLDN18.2 expression groups, as well as the corresponding drug sensitivity analyses.

Results

The results indicated that CLDN18.2 was highly expressed in pancreatic adenocarcinoma (PAAD), stomach adenocarcinoma (STAD), colorectal cancer (CRC), and esophageal carcinoma (ESCA). Moreover, the high- and low-CLDN18.2 expression groups presented significant differences in terms of genomic alterations and immune infiltration, such as the levels of methylation and CD4+ T cell infiltration. Furthermore, high CLDN18.2 expression was significantly associated with poor prognosis in bladder urothelial carcinoma (BLCA), ESCA, and PAAD. In upper gastrointestinal tract cancers (STAD, ESCA, and PAAD), downregulated gene-enriched pathways were associated with cell signaling, whereas upregulated gene-enriched pathways were associated with angiogenesis. Finally, we identified drugs associated with CLDN18.2 expression to which samples with different levels of expression were differentially sensitive.

Conclusion

CLDN18.2 was highly expressed in upper gastrointestinal tract cancers, and its expression had a significant effect on genomic alterations and the tumor microenvironment. Additionally, low CLDN18.2 expression was linked to favorable prognosis. Our study reveals the potential value of CLDN18.2 for tumor prognosis and targeted therapy in various cancers, especially upper gastrointestinal tract cancers.
Impact of different farming scenarios on key soil sustainability indicators driving soil carbon and system productivity of rice-based cropping systems
Authors: Mishra Ajay Kumar , Maurya Piyush Kumar , Sharma Sheetal
Published: November 2024

This research explores the relationships among soil characteristics, carbon dynamics, and soil biome in rice-based cropping systems across four farming scenarios: conventional farming, organic farming with conventional tillage, integrated nutrient management, and conservation agriculture with zero tillage. Conducted at the International Rice Research Institute, India (2020-2022), the study analyzed physical, chemical, and biological soil parameters. The findings reveal significant effects of farming scenarios on soil organic carbon (SOC), available nitrogen (N), phosphorus (P), and potassium (K), with no notable impact on bulk density, pH, electrical conductivity, or water-holding capacity. Organic farming enhanced microbial health, showing microbial biomass carbon (MBC) at 194.0 μg g-1, microbial biomass nitrogen (MBN) at 134.2 μg g-1, and dehydrogenase activity (DHA) at 36.80 μg TPF h-1 g-1, reflecting a more active microbial community important for nutrient cycling. Conservation agriculture reduced soil compaction, promoting better root growth and water penetration, leading to higher crop yields (10.95 ± 0.49 t ha-1). The study highlights the role of SOC in enhancing soil health, nutrient availability, and crop productivity, emphasizing sustainable agricultural practices.
GWAS combined with linkage analysis reveals major QTLs and candidate genes of salt tolerance in Japonica rice seedlings
Authors: Xu Shanbin , Zheng Jie , Du Haoqiang , Du Xiaodong , Li Chong , Duan Yuxuan , Cai Yanan , Wang Jingguo , Liu Hualong , Yang Luomiao , Xin Wei , Jia Yan , Zou Detang , Zheng Hongliang
Published: November 2024

Background

Soil salinization is one of the significant factors limiting high crop yields and expansion of arable land, seriously affecting global agricultural production. Rice is an essential food crop throughout the world, and its seedlings are particularly susceptible to salt stress, which can directly affect the growth and development of rice and its final yield. We used the natural population as the material for genome-wide association study (GWAS) and the recombinant inbred line (RIL) population from CD (salt sensitive)/WD20342 (salt tolerant) hybridization as the material for linkage analysis.

Results

The degree of salt tolerance was evaluated by using the relative root length (RRL), relative root number (RRN), relative root fresh weight (RRFW), and relative root dry weight (RRDW) as indicators. Fifteen and six major quantitative trait loci (QTLs) were identified by GWAS and linkage analysis, respectively. Meanwhile, the GWAS identified the lead SNP (Chr2_22340368), which was located within qRRL2 and qRRDW2 identified by linkage analysis. GWAS, combined with linkage analysis, selected a 196-kb overlapping region on chromosome 2, including 22 candidate genes. LOC_Os02g36880 was discovered as the candidate gene involved in salt tolerance by haplotype analysis, qRT-PCR, and sequence analysis. The score of salinity toxicity (SST) and seedling survival rate (SSR) were determined for CRISPR/Cas9 mutants (CR-1 and CR-15) and wild-type (ZH11), respectively.

Conclusion

The phenotypic validation indicated that LOC_Os02g36880 negatively regulated the salt tolerance at the seedling stage. This study provides resources for breeding Japonica rice to improve its response to salt stress.
Characterization of a plant-derived monoclonal antibody targeting extracellular enveloped virions of Monkeypox virus
Authors: Melendez Jennifer A. , Sun Haiyan , Bonner James , Chen Qiang
Published: November 2024

In 2022, the global outbreak of monkeypox virus (MPXV) with increased human-to-human transmission triggered urgent public health interventions. Plant-derived monoclonal antibodies (mAbs) are being explored as potential therapeutic strategies due to their diverse mechanisms of antiviral activity. MPXV produces two key infectious particles: the mature virion (MV) and the extracellular enveloped virion (EV), both essential for infection and spread. Effective therapies must target both to halt replication and transmission. Our prior research demonstrated the development of a potent neutralizing mAb against MPXV MV. This study focuses on developing a plant-derived mAb targeting MPXV EV, which is critical for viral dissemination within the host and generally resistant to antibody neutralization. Our findings reveal that the mAb (H2) can be robustly produced in Nicotiana benthamiana plants via transient expression. The plant-made H2 mAb effectively targets MPXV EV by binding specifically to the A35 MPXV antigen. Importantly, H2 mAb shows notable neutralizing activity against the infectious MPXV EV particle. This investigation is the first to report the development of a plant-derived anti-EV mAb for MPXV prevention and treatment, as well as the first demonstration of anti-MPXV EV activity by an mAb across any production platform. It highlights the potential of plant-produced mAbs as therapeutics for emerging infectious diseases, including the MPXV outbreak.
Synergistic effects of yeast and plant growth-promoting bacteria on Tobacco growth and soil-borne disease suppression: evidence from pot and field experiments
Authors: Teng Kai , Zhou Yu , Mao Hui , Long Xianjun , Zhang Sheng , Ma Jingjing , Meng Delong , Yin Huaqun , Xiao Yunhua
Published: November 2024

Background

Tobacco (Nicotiana tabacum L.) is an important economic crop, and the use of plant growth-promoting bacteria (PGPB) to enhance its growth and suppress soil-borne diseases has garnered considerable research interest. However, the potential of yeast to augment the growth-promoting and disease-suppressing effects of PGPB on tobacco remains unclear.

Methods

This study investigated the effects of Pichia sp. microbial fertilizer (J1), PGPB-Klebsiella oxytoca microbial fertilizer (ZS4), and their composite fertilizer (JZ) on tobacco growth indexes, soil properties, and soil microbial community through a pot experiment. Additionally, field experiments were conducted to further assess the efficacy of the composite microbial fertilizer on tobacco growth and the incidences of soil-borne diseases, including tobacco bacterial wilt (TBW) and tobacco black shank (TBS).

Results and discussions

In the pot experiment, application of the microbial fertilizers significantly enhanced soil organic matter (OM), total nitrogen (TN), total phosphorus (TP), total potassium (TK), available phosphorus (AP), and available potassium (AK) levels. Compared to the control group (CK), J1, ZS4, and JZ microbial fertilizers significantly promoted tobacco growth, and the composite microbial fertilizers demonstrated superior to the individual microbial fertilizers. We found that the application of microbial fertilizer led to significant alterations in the structure and composition of the bacterial and fungal communities based on the high-throughput sequencing of 16S rRNA and internal transcribed spacer (ITS) regions. The bacterial and fungal diversity indexes showed a decreasing trend. Key microorganisms such as Sphingomonas, Kitasatospora, Nitrosospira, Mortierella, and Trichoderma were identified as influential in regulating soil physicochemical parameters to enhance tobacco growth. Functional prediction further demonstrated a significant increase in the relative abundances of certain enzymes, including Alkaline phosphatase, 1-aminocyclopropane-1-carboxylate deaminase (ACC deaminase), and Peroxidase, as well as antimicrobial substances like Tetracycline, Isoquinoline alkaloid, and Phenylpropanoids, following inoculation with the fertilizer. Besides, field experiments revealed that the JZ fertilizer significantly promoted tobacco growth and reduced the incidence of TBW and TBS, indicating its potential for further application in tobacco cultivation.
Parental opposition to comprehensive sexuality education in Australia: associations with religiosity and school sector
Authors: Hendriks Jacqueline , Francis Neil , Saltis Hanna , Marson Katrina , Walsh Jenny , Lawton Natasha , Burns Sharyn
Published: November 2024

Purpose

To empirically examine associations between parental opposition towards comprehensive sexuality education (CSE) and religiosity.

Methods

A nationally representative survey of Australian parents (N = 2,418) examined opposition towards 40 CSE topics, by parental religiosity and secular/religious school sector.

Results

Whilst opposition to most CSE topics correlated positively with religiosity, even amongst very religious parents, disapproval was minimal (2.8–31.2%; or 9.0–20.2% netted against non-religious parents). Parents with children enrolled in a Catholic school were less likely than secular-school parents to oppose CSE. Those with children at other-faith-schools were more likely to oppose CSE, but again disapproval was minimal (1.2–21.9%; or 1.3–9.4% netted against secular-school parents).

Discussion

Only small minorities of very religious parents and parents with children in religious schools opposed the teaching of various CSE topics. Decision-makers should therefore be cautious about assuming that CSE delivery is not widely supported by particular families.
Leadership practices of physical education teachers and student-related outcomes: a systematic mixed method review and analysis
Authors: Kim Hyun-Duck , Cruz Angelita Bautista
Published: November 2024

Introduction

This study systematically reviewed and analyzed both qualitative and quantitative studies that focused on the relationship between physical education (PE) teachers’ leadership and student outcomes using data mining and meta-analysis.

Methods

Using the Scopus, PsycINFO, PubMed, and SPORTDiscus databases, text data from the included 150 relevant articles were examined through a text data mining approach. Quantitative and mixed-method studies were then further evaluated, yielding 49 articles eligible for inclusion in the meta-analysis.

Results

Findings from the data-mining analysis using Leximancer revealed eight major themes associated with PE teacher leadership, emphasizing motivation, education, support, and teaching. Results from the meta-analysis using the Comprehensive Meta-Analysis software showed that autonomy-supporting behaviors showed strong positive effects on student satisfaction, motivation, competence, and engagement. Regional differences in research focus were observed, with health being less emphasized in Asian and European studies. Student sex emerged as a moderating factor.

Conclusion

The study highlights the role of PE teacher leadership and the convergence/divergence among research findings. Moreover, applying the HDST approach to synthesize both qualitative and quantitative articles provided a deeper and more comprehensive understanding of leadership within the PE field.
Digital epidemiology of high-frequency search listening trends for the surveillance of subjective well-being during COVID-19 pandemic
Authors: Al-Kenane Khalida , Boy Frederic , Alsaber Ahmad , Nafea Rania , AlMutairi Shihanah
Published: November 2024

Background

The coronavirus disease (COVID-19) pandemic has led to a dramatic increase in online searches related to psychological distress. Governments worldwide have responded with various measures to mitigate the impact of the virus, influencing public behavior and emotional well-being. This study investigated the relationship between government actions and public reactions in terms of online search behaviors, particularly concerning psychological distress during the pandemic. The primary objective of this study was to analyze how changes in government policies during the COVID-19 pandemic influenced public expressions of psychological distress, as reflected in the volume of related online searches in Kuwait.

Method

Utilizing Google Trends data, the study analyzed search frequencies for terms associated with psychological distress such as “anxiety” and “lockdown.” The analysis correlated these search trends with government actions using the Oxford COVID-19 Government Response Tracker (OxCGRT). The study period covered March 1, 2020, to October 10, 2020, and involved extensive data collection and analysis using custom software in R programming.

Results

There was a significant correlation between the stringency of government-imposed restrictions and the volume of online searches related to psychological distress. Increased searches for “lockdown” coincided with heightened government restrictions and were associated with increased searches for “anxiety,” suggesting that policy measures significantly impacted public psychological distress.

Conclusion

The study concludes that governmental responses to the COVID-19 pandemic, measured through OxCGRT, have a measurable impact on public psychological distress, as evidenced by online search behaviors. This underscores the importance of considering psychological impacts in policymaking and suggests further research to explore this dynamic comprehensively. Future studies should focus on refining the correlation between specific types of policy measures and different expressions of psychological distress to better inform public health strategies and interventions.
Organizational commitment in the private and public sectors: a regression analysis based on personality traits, subjective wellbeing, organizational orientations, and perceived employment uncertainty in Serbia
Authors: Todorović Dušan , Mitić Petar M. , Stojiljković Nenad , Olanescu Mihai , Suciu Adrian , Popa Danut
Published: November 2024

This study aims to explain the variability in organizational commitment by examining a range of individual and organizational factors. The predictors include personality traits from the HEXACO model, organizational orientations, subjective wellbeing, perceived employment uncertainty, duration of employment, and income satisfaction. The sample consisted of 1,127 employees, with 49.4% from the private sector and 50.6% from the public/state-owned sector. Multiple regression analysis revealed that the models were statistically significant for both sectors. Public sector employees demonstrated higher levels of continuance commitment, likely due to job security, while private sector employees exhibited higher levels of affective and normative commitment. The model accounted for 51.8% of the variance in organizational commitment for public sector employees and 39.2% for private sector employees. These findings underscore the distinct commitment patterns between sectors and emphasize the role of both dispositional and contextual factors in shaping organizational commitment.
Youth Epidemiology and Resilience (YEAR) in a student population: prevalence and predictors of mental health symptoms
Authors: Wong John Chee Meng , Lei Natalie Cheok Ling , Kom Dennis Mun Yen , Fee Victoria Hui Fen , Yap Natalie Huijing , Teoh Jie Yu , Shen Liang , Yap Qai Ven , Wan Michelle Jing Si , Du Ruochen , Kroneman Leoniek , Fung Daniel Shuen Sheng , Ong Say How , Tian Cheong Sing , Bin Sachiman Muhammad Nabil Syukri , Sii Nicholas En-Ping , Teng Jia Ying , Ng Tze Pin , Verhulst Frank
Published: November 2024

Background

Adolescence is a pivotal developmental phase, marked by a high prevalence of mental health issues. The Singapore Youth Epidemiology and Resilience (YEAR) study aims to assess the prevalence of mental health symptoms, sociodemographic risk factors, and the protective role of resilience in a multi-ethnic, Asian school-going adolescent population.

Methods

School-based adolescents aged 11-18 and their parents were invited from a stratified sample of national schools, designed to be demographically representative of the mainstream school-going population. In the screening phase, adolescents completed a battery of questionnaires including the Youth Self-Report (YSR), Child Behaviour Checklist (CBCL), and the Singapore Youth Resilience Scale (SYRESS). Thereafter, diagnostic interviews were conducted on high-risk and control participants. Data analysis was conducted to establish prevalence rates of mental health symptoms, and to examine the associations between mental health symptoms, sociodemographic factors, and resilience.

Results

The final study sample consisted of 3336 adolescents and 2475 parents. Based on adolescents’ response on the YSR, 37.3%, 13.1% and 27.7% of the YEAR Study population scored in the clinical range for internalizing, externalizing and total problems respectively. Based on parents’ reporting on their children on the CBCL, 15.9%, 4.0% and 11.2% scored in the clinical range for internalizing, externalizing and total problems respectively. Sociodemographic risk factors for specific mental health symptoms were identified, including belonging to the age category of 15-16 (OR, 1.8-2.2) and those living in either a 4-, 5-room or executive flat (OR, 0.6-0.7), or in condominiums and other apartments (OR, 0.4-0.6). Total resilience scores were moderately correlated with total [rs(3334) = -.49, p <.01] and internalizing [rs(3334) = -.50, p <.01] problem scores on the YSR.

Conclusion

This study illustrates the state of mental health of school-going adolescents aged 11-18. The greater prevalence of internalizing symptoms indicates the need for stronger attention for identifying internalizing problems and targeted interventions for those at risk of such symptoms. The association between mental health symptoms and resilience factors highlights the protective potential of resilience building for adolescents.
Embodied cognition driven Qigong: a cross-sectional study and a pilot randomized controlled trial on managing depression and preventing relapse in substance dependence
Authors: Sun Chao , Yang Siyao , Wang Xiaojun , Shao Yongcong , Huang Xuetong , Qi Huanhuan , Zhang Zhuolin , Su Guobai
Published: November 2024

Objective

Substance use disorders (SUDs) pose a significant challenge to public health systems worldwide, with persistent high relapse rates underscoring the urgency for innovative intervention strategies. This study embarked on a systematic exploration of the factors influencing relapse among individuals with SUDs, alongside the implementation of targeted Health Qigong intervention to mitigate these effects based on the embodied cognition.

Methods

In the cross-sectional survey, a total of 398 male substance users were recruited to complete the questionnaires assessing depression, self-esteem, resilience, and relapse inclination. Subsequently, 60 participants diagnosed with depression were selected for a Pilot RCT, randomly divided into an intervention group, which underwent a 12-week Health Qigong program designed to combat depression through embodied cognition principles, and a control group, which maintained their daily routines.

Results

Structural equation modeling demonstrated that depression not only had a direct effect on substance users’ relapse, but also exerted an indirect effect through three paths: firstly, via the mediating role of self-esteem; secondly, via the mediating role of resilience; and thirdly, via the chain-mediated role of self-esteem and resilience. Two-factor mixed-design ANOVA showed that the 12-week targeted Health Qigong training not only mitigated depression in individuals with SUDs, but also enhanced self-esteem and mental resilience, and reducing the propensity for relapse.

Conclusion

This research identifies critical factors influencing relapse in individuals with SUDs and introduces a novel, non-pharmacological intervention that significantly diminishes relapse rates and enhances recovery outcomes. It highlights the importance of physical activity in promoting mental health improvement and integrates traditional Chinese exercises with contemporary psychological insights, offering a comprehensive approach to drug rehabilitation and the integration of cultural practices in holistic health interventions.
How air pollution influences the difference between overweight and obesity: a comprehensive analysis of direct and indirect correlations
Authors: Yu Muchun , Xie Jinchen , Liu Yanyan
Published: November 2024

Background

Obesity, characterized by excessive or abnormal fat accumulation, is a major public health concern. Air pollution is a significant potential obesogenic factor, but the clear direct and indirect correlations between air pollution and obesity remain unclear. This study aims to provide a comprehensive understanding of the relationship between air pollution and obesity by identifying both direct and indirect causal correlations.

Methods

We used nationally representative data from the China Family Panel Survey. Air pollution concentrations were quantified as the mass (μg) of air pollutants per cubic meter (m3) based on nationally representative statistical data. To minimize statistical bias inherent in traditional methods, the direct relationship between air pollution and obesity was estimated using a regression discontinuity model, while the potential underlying mechanisms were explored through structural equation modeling.

Results

Air pollution was generally positively associated with overweight/obesity (OROWAQI = 1.109, [95%CI = 1.027:1.305], OROBAQI = 1.032, [95%CI = 1.006:1.217], ORSOAQI = 1.069, [95%CI = 1.014:1.208], PM2.5 and PM10 positively affected overweight/obesity (OROWPM2.5 = 1.173, [95%CI = 1.094:1.252], OROBPM2.5 = 1.022, [95%CI = 1.016:1.028], ORSOPM2.5 = 1.035 [95%CI = 1.015:1.055], OROWPM10 = 1.053, [95%CI = 1.030:1.076], OROBPM10 = 1.008 [95%CI = 1.006:1.010], ORSOPM10 = 1.013 [95%CI = 1.007:1.019]), and SO2 and CO posed negative impacts on overweight/obesity (OROWSO2 = 0.972, [95%CI = 0.965:0.979], OROBSO2 = 0.997, [95%CI = 0.996:0.998], ORSOSO2 = 0.994, [95%CI = 0.991:0.997], OROWCO = 0.986, [95%CI = 0.980:0.992], OROBCO = 0.998, [95%CI = 0.997:0.999], ORSOCO = 0.999, [95%CI = 0.998:0.999]). The impact of air pollution on overweight/obesity was more significant among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Furthermore, the relationship between air pollution and overweight/obesity was mediated by social behavior determinants, including physical activity (β = 0.18, [95%CI = 0.04:0.29]), sedentary behavior (β = 0.12, [95%CI = 0.04:0.16]), sleep (β = 0.06, [95%CI = 0.02:0.13], smoking (β = 0.07, [95%CI = 0.02:0.15]), alcohol consumption (β = 0.08, [95%CI = 0.04:0.11]), and mental health (β = 0.06, [95%CI = 0.01:0.09]).

Conclusion

Air pollution was generally associated with an increased risk of overweight and obesity, with PM2.5 and PM10 having a positive influence, while SO2 and CO had a negative impact. The effect of air pollution was more pronounced among men, older individuals, and rural populations compared to women, younger individuals, and urban populations. Additionally, social behavior factors, such as physical activity, sedentary behavior, sleep, smoking, alcohol consumption, and mental health, predominantly mediated the relationship between air pollution and obesity.
Factors influencing digital health literacy among older adults: a scoping review
Authors: Shi Zhen , Du Xixi , Li Juan , Hou Rongting , Sun Jingxuan , Marohabutr Thammarat
Published: November 2024

Background

The growth of digital technology, represented by the development of the Internet, has become popular among older adults. Implying digital health literacy on older adults also affects their ability to use digital technology to search, browse, understand, and evaluate health information to improve their health status. This scoping review aims to explore (1) the situation of digital health literacy among older adults and (2) the influencing factors on the digital health literacy of older adults.

Methods

A scoping review was performed to evaluate evidence on influencing factors on digital health literacy among older adults in October 2023 employing data from literature indexed in PubMed, Web of Science, EBSCO, Springer Link, and CNKI with search terms such as “digital health literacy,” “e-health literacy,” “eHealth literacy” and “elderly people,” “aged people,” “old age.” The review comprised research articles that addressed issues related to digital health literacy and older adults, excluding non-research and research articles that only expressed opinions without concrete data or material support.

Results

The final review included 28 articles from 4,706 retrieved records. The synthesis revealed that the digital health literacy of older adults was reflected in the scores of older adults in high-income countries, which were relatively high. In contrast, those in middle-income countries tended to be generally lower. The digital health literacy of older adults was affected by socio-demographic factors, related factors of electronic devices, and use and social support factors.

Conclusion

Gaps of study discussed in this scoping review should be narrowed in further studies. Developing digital health literacy interventions with education and training programs should be considered to improve the digital health literacy of older adults. The digital divide among older adults should be bridged by improving social capital and family support through integrated intervention roles of government, community, and family.
Telomere length and cognitive changes in 7,877 older UK adults of European ancestry
Authors: Packer Amy , Habiballa Leena , Tato-Barcia Esteban , Breen Gerome , Brooker Helen , Corbett Anne , Arathimos Ryan , Ballard Clive , Hampshire Adam , Palmer Abbie , Dima Danai , Aarsland Dag , Creese Byron , Malanchini Margherita , Powell Timothy R.
Published: November 2024

Background

Telomere length (TL) has been linked to cognitive function, decline and dementia. This study aimed to explore whether both measured TL and genetic disposition for TL predict dimensions of cognitive performance in a longitudinal sample of older UK adults.

Methods

We analysed data from PROTECT study participants aged ≥50 years without a dementia diagnosis, who had completed longitudinal cognitive testing. We calculated polygenic scores for telomere length (PGS-TL) for 7,877 participants and measured relative telomere length (RTL) in a subgroup of 846 participants using DNA extracted from saliva samples collected within 6 months either side of their baseline cognitive testing. Latent growth models were used to examine whether RTL and PGS-TL predict both baseline and longitudinal changes in cognitive performance (4 time-points, annually).

Results

In the whole sample, we did not observe significant associations between either measure of telomere length and initial or longitudinal changes in cognitive performance. Stratifying by median age, in older adults (≥ ∼62 years), longer baseline RTL showed a nominal association with poorer baseline verbal reasoning performance (n = 423, Mintercept = 47.58, B = −1.05, p = .011) and PGS-TL was associated with performance over time (n = 3,939; slope factor, Mslope = 3.23, B = −0.45, p = .001; slope2 factor, Mslope2 = 0.21, B = 0.13, p = .002).

Conclusion

Our findings suggest either the absence of a significant relationship between telomere length (RTL and PGS-TL) and cognitive performance (baseline and change over time), or possibly a weak age-dependent and domain-specific relationship, in older adults of European ancestry. More research is needed in representative and ancestrally diverse samples over a longer assessment period. Alternative biological ageing indicators may still provide utility in the early detection of individuals at risk for cognitive decline (e.g., pace-of ageing epigenetic clocks).
Enhancing random forest predictive performance for foot and mouth disease outbreaks in Uganda: a calibrated uncertainty prediction approach for varying distributions
Authors: Kapalaga Geofrey , Kivunike Florence N. , Kerfua Susan , Jjingo Daudi , Biryomumaisho Savino , Rutaisire Justus , Ssajjakambwe Paul , Mugerwa Swidiq , Abbey Seguya , Aaron Mulindwa H. , Kiwala Yusuf
Published: November 2024

Foot-and-mouth disease poses a significant threat to both domestic and wild cloven-hoofed animals, leading to severe economic losses and jeopardizing food security. While machine learning models have become essential for predicting foot-and-mouth disease outbreaks, their effectiveness is often compromised by distribution shifts between training and target datasets, especially in non-stationary environments. Despite the critical impact of these shifts, their implications in foot-and-mouth disease outbreak prediction have been largely overlooked. This study introduces the Calibrated Uncertainty Prediction approach, designed to enhance the performance of Random Forest models in predicting foot-and-mouth disease outbreaks across varying distributions. The Calibrated Uncertainty Prediction approach effectively addresses distribution shifts by calibrating uncertain instances for pseudo-label annotation, allowing the active learner to generalize more effectively to the target domain. By utilizing a probabilistic calibration model, Calibrated Uncertainty Prediction pseudo-annotates the most informative instances, refining the active learner iteratively and minimizing the need for human annotation and outperforming existing methods known to mitigate distribution shifts. This reduces costs, saves time, and lessens the dependence on domain experts while achieving outstanding predictive performance. The results demonstrate that Calibrated Uncertainty Prediction significantly enhances predictive performance in non-stationary environments, achieving an accuracy of 98.5%, Area Under the Curve of 0.842, recall of 0.743, precision of 0.855, and an F1 score of 0.791. These findings underscore Calibrated Uncertainty Prediction’s ability to overcome the vulnerabilities of existing ML models, offering a robust solution for foot-and-mouth disease outbreak prediction and contributing to the broader field of predictive modeling in infectious disease management.
New challenges in point cloud visual quality assessment: a systematic review
Authors: Tious Amar , Vigier Toinon , Ricordel Vincent
Published: November 2024

The compression, transmission and rendering of point clouds is essential for many use cases, notably immersive experience settings in eXtended Reality, telepresence and real-time communication where real world acquired 3D content is displayed in a virtual or real scene. Processing and display for these applications induce visual artifacts and the viewing conditions can impact the visual perception and Quality of Experience of users. Therefore, point cloud codecs, rendering methods, display settings and more need to be evaluated through visual Point Cloud Quality Assessment (PCQA) studies, both subjective and objective. However, the standardization of recommendations and methods to run such studies did not follow the evolution of the research field and new issues and challenges have emerged. In this paper, we make a systematic review of subjective and objective PCQA studies. We collected scientific papers from online libraries (IEEE Xplore, ACM DL, Scopus) and selected a set of relevant papers to analyze. From our observations, we discuss the progress and future challenges in PCQA toward efficient point cloud video coding and rendering for eXtended Reality. Main axes for development include the study of use case specific influential factors and the definition of new test conditions for subjective PCQA, and development of perceptual learning-based methods for objective PCQA metrics as well as more versatile evaluation of their performance and time complexity.
Status of islet transplantation and innovations to sustainable outcomes: novel sites, cell sources, and drug delivery strategies
Authors: Wong Jordan M. , Pepper Andrew R.
Published: November 2024

Islet transplantation (ITx) is an effective means to restore physiologic glycemic regulation in those living with type 1 diabetes; however, there are a handful of barriers that prevent the broad application of this functionally curative procedure. The restricted cell supply, requisite for life-long toxic immunosuppression, and significant immediate and gradual graft attrition limits the procedure to only those living with brittle diabetes. While intraportal ITx is the primary clinical site, portal vein-specific factors including low oxygen tension and the instant blood-mediated inflammatory reaction are detrimental to initial engraftment and long-term function. These factors among others prevent the procedure from granting recipients long-term insulin independence. Herein, we provide an overview of the status and limitations of ITx, and novel innovations that address the shortcomings presented. Despite the marked progress highlighted in the review from as early as the initial islet tissue transplantation in 1893, ongoing efforts to improve the procedure efficacy and success are also explored. Progress in identifying unlimited cell sources, more favourable transplant sites, and novel drug delivery strategies all work to broaden ITx application and reduce adverse outcomes. Exploring combination of these approaches may uncover synergies that can further advance the field of ITx in providing sustainable functional cures. Finally, the potential of biomaterial strategies to facilitate immune evasion and local immune modulation are featured and may underpin successful application in alternative transplant sites.
A sequential ensemble smoother for multiple data assimilation in hydrogeological modeling
Authors: Béraud Thomas , Claprood Maxime , Gloaguen Erwan
Published: November 2024

Groundwater is essential for drinking water and economic development, yet its availability and quality are threatened by climate change, pollution, and rising demand. Effective groundwater management relies on accurate numerical models for flow and contaminant transport. Traditional calibration techniques often struggle with the uncertainty and spatial variability inherent in hydrogeological data. Although geostatistical simulations can represent this variability, their computational complexity limits their use in large-scale models. To overcome these challenges, ensemble methods like the Ensemble Kalman Filter (EnKF) and Ensemble Smoother (ES) have been introduced for model updates using spatiotemporal data. However, they face limitations in high-dimensional systems with sparse observational data, common in hydrogeology. This paper introduces an innovative data assimilation method combining Well-by-Well (WbW) and observation Type-by-observation Type (TbT) techniques. This approach utilizes local analysis to effectively calibrate large, complex groundwater models with limited observations, resulting in a more stable and accurate calibration process. The method is tested on a synthetic 3D model and a real regional groundwater flow model, showing significant improvements in calibration and predictions. A 3D synthetic model of a coastal aquifer with saltwater intrusion was developed to evaluate the WbW & TbT updates within the Ensemble Smoother with Multiple Data Assimilation (ES-MDA 4x) method. The results indicate improved calibration and reduced errors in hydraulic head and salt concentration predictions. This study demonstrates the robustness of the WbW & TbT method in calibrating the Ville Mercier regional hydrogeological model, showcasing its potential for complex hydrogeological settings. By updating parameters locally around each observation well, the WbW & TbT method addresses high-dimensional challenges while preserving data amplitude and managing the complexity of regional hydrogeological systems. Results confirm that this method enhances the accuracy and reliability of groundwater flow models, making it a vital tool for resource management amid environmental challenges.
Theoretical perspectives: sociology and the conservation of scientific heritage
Authors: Magnolo Stefano , Galán-Pérez Ana
Published: November 2024

The following considerations adopt a critical conservation approach to understanding scientific heritage, particularly its intangible aspects. This heritage includes the intellectual and research legacy, encompassing various forms of communication, with a focus on digital technologies. Conservation methods now play a crucial role in transmitting this intangible heritage, shifting from traditional substance-based care to communication systems and enhancement facilitated by digital humanities. These advancements enable novel experiences and foster new academic and social practices. Interestingly, sociology features prominently in this context. It appears twice: first as a discipline that produces intangible heritage worthy of preservation and communication, and second as a theory for communicating this heritage. Our exploration begins by recognizing the university’s role as a cultural agent engaged in producing and transmitting knowledge. We then delve into the concept of scientific heritage, particularly how the Humanities and Social Sciences preserve their heritage compared to the so-called hard sciences. While we acknowledge the importance of the real impact of these disciplines, our focus is on the formal recognition of their scientific production as cultural heritage. Ultimately, we focus on specific heritage worth preserving and reflect on ways to enhance it in the future.
The role of torso stiffness and prediction in the biomechanics of anxiety: a narrative review
Authors: Chin Seong
Published: November 2024

Although anxiety is a common psychological condition, its symptoms are related to a cardiopulmonary strain which can cause palpitation, dyspnea, dizziness, and syncope. Severe anxiety can be disabling and lead to cardiac events such as those seen in Takotsubo cardiomyopathy. Since torso stiffness is a stress response to unpredictable situations or unexpected outcomes, studying the biomechanics behind it may provide a better understanding of the pathophysiology of anxiety on circulation, especially on venous impedance. Any degree of torso stiffness related to anxiety would limit venous return, which in turn drops cardiac output because the heart can pump only what it receives. Various methods and habits used to relieve stress seem to reduce torso stiffness. Humans are large obligatory bipedal upright primates and thus need to use the torso carefully for smooth upright activities with an accurate prediction. The upright nature of human activity itself seems to contribute to anxiety due to the needed torso stiffness using the very unstable spine. Proper planning of actions with an accurate prediction of outcomes of self and non-self would be critical to achieving motor control and ventilation in bipedal activities. Many conditions linked to prediction errors are likely to cause various degrees of torso stiffness due to incomplete learning and unsatisfactory execution of actions, which will ultimately contribute to anxiety. Modifying environmental factors to improve predictability seems to be an important step in treating anxiety. The benefit of playful aerobic activity and proper breathing on anxiety may be from the modulation of torso stiffness and enhancement of central circulation resulting in prevention of the negative effect on the cardiopulmonary system.
A comprehensive epidemiological approach documenting an outbreak of H5N1 highly pathogenic avian influenza virus clade 2.3.4.4b among gulls, terns, and harbor seals in the Northeastern Pacific
Authors: Haman Katherine H. , Pearson Scott F. , Brown Justin , Frisbie Lauren A. , Penhallegon Sara , Falghoush Azeza M. , Wolking Rebecca M. , Torrevillas Brandi K. , Taylor Kyle R. , Snekvik Kevin R. , Tanedo Sarah A. , Keren Ilai N. , Ashley Elizabeth A. , Clark Casey T. , Lambourn Dyanna M. , Eckstrand Chrissy D. , Edmonds Steven E. , Rovani-Rhoades Emma R. , Oltean Hanna , Wilkinson Kristin , Fauquier Deborah , Black Allison , Waltzek Thomas B.
Published: November 2024

Highly pathogenic avian influenza viruses (HPAIV) H5N1 clade 2.3.4.4b continue to have unprecedented global impacts on wild birds and mammals, with especially significant mortality observed in colonial surface-nesting seabirds and in some marine mammal species. In July of 2023 H5N1 HPAIV 2.3.4.4b was detected in Caspian terns nesting on Rat Island, Washington USA. An estimated 1,800–1,900 adult terns populated the breeding colony, based on aerial photographs taken at the start of the outbreak. On a near-weekly basis throughout July and August, we counted and removed carcasses, euthanized moribund birds, and collected swab and tissue samples for diagnostic testing and next-generation sequencing. We directly counted 1,101 dead Caspian tern adults and 520 dead chicks, indicating a minimum 56% loss of the adult colony population and potential impacts to reproductive success. Combining the observed mortality on Rat Island with HPAI-related Caspian tern deaths recorded elsewhere in Washington and Oregon, we estimate that 10–14% of the Pacific Flyway population was lost in the summer of 2023. Comparatively few adult Glaucous-winged gulls (hybrids) nesting on Rat Island died (~3% of the local population), although gull chick mortality was high. Sixteen harbor seals in the immediate or nearby area stranded during the outbreak, and H5N1 HPAIV was detected in brain and/or lung tissue of five seals. These cases are the first known detections of HPAIV in a marine mammal on the Pacific coast of North America. Phylogenetic analyses support the occurrence of at least three independent avian-mammalian virus spillover events (tern or gull to harbor seal). Whole genome sequencing indicated that H5N1 HPAIV may have been introduced to Washington from Caspian terns in Oregon. Ongoing monitoring and surveillance for H5N1 HPAIV in the marine environment is necessary to understand the epidemiology of this virus, assess conservation impacts to susceptible species, and provide support for data-driven management and response actions.
Commentary: A Comparison of the Methods of the Pre-Slaughter Stunning of Cattle in Australia—Mechanical, Electrical, and Diathermic Syncope
Authors: Musk Gabrielle C. , Johnson Craig B.
Published: November 2024

In adult cattle, there are various methods of pre-slaughter stunning, all requiring adequate restraint to ensure the accurate placement of a device to target the brain of the animal and create an unconscious state. For adult cattle, these methods include electrical stunning, mechanical stunning, and a novel system called diathermic syncope (DTS). Peer-reviewed publications, industry reports, government documents, and unpublished reports were considered for inclusion in this review of the attributes of the electrical, mechanical, and diathermic syncope methods of stunning. The parameters for comparison of the methods included Australian approval status, religious compliance, reliability, reversibility, time to effect, duration of effect, carcase damage, cardiovascular effects, logistics, and welfare implications. The pre-slaughter stunning of cattle with DTS is reliable, reversible, non-concussive, non-penetrating, does not cause carcase damage, and has a body of evidence extensive enough to inform appropriate practices in cattle processing facilities. These attributes optimise animal welfare in this context, align with Australian legislative requirements, and suggest that DTS might be a suitable stunning technique for consideration by religious authorities in terms of both halal and kosher slaughter criteria.