bluuebunny/crossref_metadata_2025_split huggingface dataset:
Kindergarten Teachers' Psychological Capital and Organizational Commitment: An Investigative Study with Latent Profile Analysis
Authors: Di Huijuan , Cai Ruiting , Yao Hongwei 
Published: July 2024

Abstract

To thoroughly understand the potential categories of kindergarten teachers' psychological capital, it is essential to meticulously analyze the influencing factors specific to each category and to deeply explore the intricate relationship that exists between psychological capital and the level of organizational commitment among these educators. This study takes 1132 preschool teachers as the research object, and analyzes the types of teachers' psychological capital and its influence on organizational commitment through potential profile. The results show that the psychological capital level of preschool teachers can be divided into three categories: Low PsyCap, Moderate PsyCap and High PsyCap; The teaching experience is short, the number of teachers with High PsyCap is small and the number of teachers with Low PsyCap is large, and the level of psychological capital needs to be improved urgently. There are significant differences in organizational commitment among teachers with different types of psychological capital. Teachers with High PsyCap have the highest organizational commitment, followed by teachers with Moderate PsyCap, and teachers with Low PsyCap have the lowest organizational commitment. The above research results provide theoretical basis and practical reference for psychological counseling of preschool teachers to improve the level of psychological capital and their organizational commitment.
Tree Imagery in Drawing Tests for Screening Mental Disorders: A Systematic Review and Meta-analysis
Authors: Guo Huibing , Feng Bin , Liu Tiantian , Zhao Ruopeng , Fan Huiyong , Dong Zaiquan , Gong Qiyong , Chen Taolin 
Published: July 2024

Abstract

Background
Tree imagery in drawing tests has demonstrated effectiveness in predicting mental disorders; however, there remains a lack of uniformity in the selection and interpretation of predictors. This study aimed to integrate various tree imagery characteristics in mental disorders through a systematic review and meta-analysis and to further identify valid indicators for predicting mental disorders.
Methods
A search of the following electronic databases was performed in May 2023: PubMed, Web of Science, Embase, EBSCO, CNKI, VIP, and Wanfang. Screening and checking of the literature were performed independently by two authors. A total of 42 studies were included in the meta-analysis. The strength of the association between drawing characteristics and mental disorders was measured by the ratio (OR) with a 95% CI. Publication bias was assessed using a funnel plot, Rosenthal’s fail-safe number (Nfs), and the trim and fill method.
Results
The analysis demonstrated a total of 45 drawing characteristics that appeared at least three times in previous studies, 24 of which were found to significantly predict mental disorders. The effective predictors could be categorized into five categories: blackened out, scribbled lines, oddly shaped, no vitality, and overly simple. Subgroup analyses indicated that “blackened tree”, “no motion”, and “excessive separation” were specific indicators of affective disorders, whereas “roots” was an indicator of thought disorders. Common indicators for mental disorders included “weak or intermittent tree lines”, “no additional decoration”, “simplified drawing”, “small drawing size” and “very small tree”.
Conclusion
This study confirms the value of drawing tests in screening for mental disorders, and provides reference for the selection and interpretation of drawing indicators.
SYFLo: augmenting yolo for real-time health monitoring of electric assets in power transmission lines
Authors: Sankuri Raja Sekhar , Sri Nagesh Bhattu , Karri Sri Phani Krishna 
Published: July 2024

Abstract

Sustainable transmission of electrical energy to consumers across regions relies heavily on the integrity of power transmission lines and continuous monitoring of assets is crucial for maintaining system reliability. Unmanned Aerial Vehicles (UAVs) have revolutionized defect identification in real-time and accessibility, even in difficult-to-reach geographical landscapes, thereby improving image-based inspections. This work introduces SYFLo(Semisupervised Yolo with Focal Loss function), a novel method that augments YOLO for real-time health monitoring of electric assets in power transmission lines. SYFLo integrates the focal loss function with semi-supervised learning to effectively address the lack of abundant labeled data, data imbalances and enhance detection accuracy. Additionally, it improves data generalizability across a wide range of images, ensuring robust performance despite varied image backgrounds. By leveraging YOLOv8, SYFLo significantly improves fault identification, achieving a detection accuracy of 96.5% and an FPS of 283.2. Experimental results demonstrate the impact of the proposed approach, highlighting its potential to enhance the reliability of power transmission line monitoring. These findings underscore the importance of integrating advanced deep learning techniques with innovative loss functions to address common challenges in real-time health monitoring systems.
Controlled Nanorod-like Structure of Iron Tetrapolyvanadate for Enhanced Heterogeneous Fenton-like Catalysis
Authors: Canh Bui Ba , Manh Nguyen Duc , Ha Cao Hong , Vân-Anh Nguyen 
Published: July 2024

Abstract

In this study, a heterogeneous Fenton-like system was developed based on Fe2V4O13 composite oxide material with the aim of decomposing some hazardous organic compounds present in industrial wastewater (e.g., methylene blue, ciprofloxacin, etc.). The research results have shown that this composite oxide material was synthesized via a simple hydrothermal method with controlled conditions optimized for hydrothermal temperature and structure aging temperature. Characterization methods indicated that the optimal hydrothermal condition was at 180°C for 12 hours and the structure aging temperature was at 80°C for 12 hours. Under these synthesis and structure aging conditions, a characteristic nano-rod structure of the material with dimensions of 500 × 40 × 20 nm (in length × width × height) was formed. This structure exhibited the best catalytic activity for organic compound decomposition compared to other material structures synthesized under different conditions in this study. The catalytic activity in decomposing of methylene blue and ciprofloxacin was high, reaching > 99% and > 77 %, respectively, after 14 minutes. This was achieved following the Fenton system mechanism in the presence of H2O2 at pH 7 and 9. The mechanism followed the mixed homogeneous and heterogeneous Fenton process, in which the presence of leached vanadium ions accelerated the =Fe2+/=Fe3+ redox couple regeneration, consequently enhancing the degradation efficiency. In the mechanism, the formation of the highly active free radicals •OH and •OOH is observed and demonstrated by using specific competitive inhibitors (quinhydrone, ascorbic acid). These findings suggest the potential of the Fe2V4O13-based nanomaterial for the efficient treatment of organic compounds in wastewater, particularly under neutral to alkaline media.
Inpatient Use of Electroconvulsive Therapy in the Middle East, North Africa, and Turkey (MENAT) Region: A Systematic Review and Meta-Analysis of Recent Practice
Authors: Alhassan Mohammed A. , Alarabi Mohammed A. , Albalawi Waled M. , AlRabiah Ebraheem S. 
Published: July 2024

Abstract

Background
Electroconvulsive therapy (ECT) is among the oldest treatments in psychiatry, is used variably worldwide due to different factors.
Aims
The study aimed to estimate inpatient ECT indication and utilization in the MENAT region.
Method
A systematic review and meta-analysis of relevant articles published from 2013 to 2024 was conducted.
Results
Six studies were included, showing an average inpatient prevalence of ECT at 14.48 per 100 inpatients. The studies were characterized by high heterogeneity (I2 = 100%). ECT was most commonly administered to male inpatients averaging 35.14 years old, with schizophrenia (29.7%) and bipolar disorder (29.28%) being the most common diagnoses. The average number of ECT sessions was 9.36. Overall, the studies reported the use of bilateral modified ECT.
Conclusions
ECT utilization rates vary globally and within the MENAT region. More efforts are needed to standardize and expand the delivery of modified ECT in the region.
A Novel Catalytic System Utilizing Cobalt-Based Metal- Organic Framework for Peroxymonosulfate Activation in Congo Red Degradation
Authors: Liu Difei , Cui Yunzuo , Li Chuanbi 
Published: July 2024

Abstract

Cobalt metal-organic framework (Co-MOF), a crystalline porous material self-assembled from Co metal via organic ligand bridging, has received increasing attention due to its multi-metal sites and its efficient azo-fuel degradation properties. In this study, a Co-MOF was synthesized and used to activate the degradation of Congo red (CR) by peroxomonas sulphate (PMS). Demonstrating that the degradation efficiency of the Co-MOF/PMS system reached close to 100% for 20 mg/L CR within 10 min at a catalyst dosage of 0.30 g/L and a PMS dosage of 0.5 mM. Quenching experiments and mass spectrometry elucidated two different degradation pathways of CR: (i) radical pathway: hydroxyl radical (•OH) and sulfate radical (SO4•−); (ii) non-radical pathway: singlet oxygen (1 O2). The degradation products were examined by liquid chromatography-mass spectrometry (LC-MS) and possible transformation pathways for transformation. This work underscores the immense potential of the Co-MOF/PMS system as an efficient catalyst for environmental remediation, leading to significant advances in CR degradation and wastewater treatment technologies.
Non-obese NAFLD subjects demonstrate lower risk of metabolic syndrome than obese non-NAFLD subjects: a multicenter cross-sectional study
Authors: Lu Zih-Chien , Lai Kuan-Yu , Kao Hsian-Han , Lin Wen-Yuan , Chen Tsung-Po 
Published: July 2024

Abstract

Background: Nonalcoholic fatty liver disease (NAFLD) and obesity are risk factors for metabolic syndrome (MetS). Interaction between NAFLD and obesity might deteriorate the probability of MetS. We aim to evaluate the non-obese NAFLD for the risk of MetS compared with obese non-NAFLD.
Methods: ﻿A population-based cross-sectional study was collected in three different hospitals in Taiwan from 2015 to 2022. ﻿Anthropometric and biochemical measurements were collected after 8-hour fasting. NAFLD was diagnosed through abdominal ultrasonography by trained doctors. Participants were divided into two groups by body mass index (BMI) with a 25 kg/m2 cutoff value and NAFLD status. ﻿The risk of MetS with the status of NAFLD and obesity was assessed using a multiple logistic regression model.
Results: 690 eligible participants were involved in the analysis, with 441 non-obese NAFLD and 249 obese non-NAFLD subjects. The mean age was 62.7 ± 16.7 years old. The prevalence of MetS was 35.4% in the non-obese NAFLD group and 47.7% in the obese non-NAFLD group, respectively. The non-obese NAFLD group demonstrates a lower percentage of abnormal waist circumference and blood pressure than the obese non-NAFLD group (p<0.05). However, the ratio of abnormal triglyceride, high-density lipoprotein cholesterol (HDL-C), and glucose were similar between the two groups (p>0.05). ﻿The non-obese NAFLD group demonstrates a lower risk of MetS than the obese non-NAFLD group ﻿(Odds ratio 0.68, 95% confidence interval [CI]: 0.47-0.97).
Conclusions: Both NAFLD and obesity increase the risk of MetS. As a risk factor, NAFLD reveals a lower MetS risk than obesity.
The Influence of Physical Fitness Self-Efficacy on College Students' Subjective Well-Being: Mediating Effects of Physical Activity and Gender Differences
Authors: Liu Jinhua , Li Xiaobin , Xu Yu , Kayani Sumaira , Biasutti Michele 
Published: July 2024

Abstract

This study explores the influence of physical fitness self-efficacy on college students' subjective well-being, highlighting the mediating role of physical activity and the moderating effect of gender. Using the "Physical Fitness Self-Efficacy Scale," "Physical Activity Level Scale" (PARS-3), and "Subjective Well-Being Questionnaire," data were collected from 455 students(Age19.13 ± 1.32) in Yunnan Province, China, and analyzed using SPSS 27.0 and Process 4.2. Results showed significant gender differences in physical fitness self-efficacy, physical activity, and subjective well-being, with physical activity mediating 20.86% of the effect. Gender moderated this relationship, with a greater impact observed in female students. These findings suggest the importance of promoting physical fitness self-efficacy and physical activity to enhance college students' subjective well-being, with gender-specific intervention strategies recommended.
Wind Velocity and Dispersion/Advection-diffusion of Artificial Droplets and Droplet Nuclei in a Domed All- weather Multi-purpose Stadium
Authors: Shinohara Naohide , Kurihara Noboru , Naito Wataru , Iwai Aya , Yasutaka Tetsuo , Morioka Toshihiro , Takatsuji Toshiyuki , Ogata Masayuki , Tatsu Koichi 
Published: July 2024

Abstract

To evaluate the COVID-19 infection risk and the effectiveness of countermeasures at mass-gathering events, we measured the dispersion and advective diffusion of artificial droplets and artificial droplet nuclei at the Tokyo Dome, Japan (capacity 55,000 people). We also measured and evaluated the effectiveness of wearing masks and increasing the space between seating areas. If people were seated facing forward, artificial droplets did not reach the mouths of surrounding people, suggesting low risk of droplet transmission. For an artificially generated cough or sneeze, the volume of droplets deposited on the hair, back of the neck, and back of the human in front, and the backs of the seats in front, decreased by two to three orders of magnitude when a mask was worn, regardless of the type of mask. However, when the mask was worn with the nose out, the amount deposited on the back of the seat in front was reduced by only 17%. Even in seats with the highest particle concentration in the vicinity of the source, only 0.097%–0.24% of the generated droplet nuclei (1.0–3.0 μm) from the source were inhaled. Our results suggest that the infection risk at the Tokyo Dome via droplet and airborne transmission was low.
CXCR4 regulates macrophage M1 polarization by altering glycolysis to promote prostate fibrosis
Authors: zhang Yi , Zhang Chen , Feng Rui , Meng Tong , Peng Wei , Song Jian , Ma Wenming , Xu Wenlong , Chen Xianguo , Chen Jing , Liang Chaozhao 
Published: July 2024

Abstract

Background
CXCR4 (C-X-C receptor 4) is widely considered to be a highly conserved G protein-coupled receptor, widely involved in the pathophysiological processes in the human body, including fibrosis. However, its role in regulating macrophage-related inflammation in the fibrotic process of prostatitis has not been confirmed. Here, we aim to describe the role of CXCR4 in modulating macrophage M1 polarization through glycolysis in the development of prostatitis fibrosis.
Methods
Use inducible experimental chronic prostatitis as a model of prostatic fibrosis. Reduce CXCR4 expression in immortalized bone marrow-derived macrophages using lentivirus. In the fibrotic mouse model, use adenovirus carrying CXCR4 agonists to detect the silencing of CXCR4 and assess the in vivo effects.
Results
In this study, we demonstrated that reducing CXCR4 expression during LPS treatment of macrophages can lead to M1 polarization. Silencing CXCR4 can inhibit glycolytic metabolism, enhance mitochondrial function, and promote macrophage transition from M1 to M2. Additionally, in vivo functional experiments using AAV carrying CXCR4 showed that blocking CXCR4 in EAP can alleviate inflammation and experimental prostate fibrosis development. Mechanistically, CXCR4, a chemokine receptor, when silenced, weakens the PI3K/AKT/mTOR pathway as its downstream signal, reducing c-MYC expression. PFKFB3, a key enzyme involved in glucose metabolism, is a target gene of c-MYC, thus impacting macrophage polarization and glycolytic metabolism processes.
Socioeconomic status, linguistic skills and language background differentially relate to preschoolers’ emotional and behavioural profile
Authors: Bonifacci Paola , Ravaldini Viola , Cangelosi Martina , Tobia Valentina 
Published: July 2024

Abstract

Background: Proximal and distal factors interact in shaping children’s development and well-being. The present study aimed to investigate socioeconomic status (SES), linguistic skills and language background as concurrent predictors of socio-emotional and behavioural skills in heritage bilinguals and monolingual peers attending preschool.
Methods: Parents of 1810 preschoolers (mean age = 63.42 months ± 7.36) filled in the Four Factor Index of SES and the Strengths and Difficulties Questionnaire (SDQ). Teachers (n =99) compiled a questionnaire on children’s linguistic skills as well as emotional and behavioural profiles. A subsample of 995 children was administered an expressive vocabulary task.
Results: Regression analyses showed that linguistic skills were the unique concurrent predictor for conduct problems as well as the dominant predictor for hyperactivity/impulsivity traits, problems in peer relationships and better prosocial behaviour. SES was negatively related to ADHD traits, problems in peer relationships, and prosocial behaviour. Finally, heritage bilingualism background was associated, although not as a primary predictor, with increased emotional problems, peer relationship problems and minor emotional and behavioural skills as assessed by teachers. However, it was the main factor to be positively associated with prosocial behaviour.
Conclusions: The implications of these results for the research in the field and for educational policies are discussed, highlighting the need for a multidimensional perspective that includes linguistic skills and SES in the evaluation of children’s emotional and behavioural outcomes.
Natural radon concentrations as indicators for mountain karst aquifer hydrodynamics and seismicity: the case study of Bossea Cave (Piedmont,Italy)
Authors: Biamino Luca , Colombero Chiara , Fiorucci Adriano , Vigna Bartolomeo , Peano Guido 
Published: July 2024

Abstract

Radon originating from meta-volcanics located at the bottom of Bossea karstic mountain aquifer is subject to transport within the cave through both advective and diffusive processes. According to the double convective cell model of circulation referable to this hypogean atmosphere, it is possible to correlate radon fluctuations with hydrodynamics, excluding the influence of external meteo-climatic factors. Transfer of gas from underground water flows presents delayed concentration maxima compared to flood peaks, amounting to 45 hours in the upper meta-carbonate canyon and 66 hours in the collapse chambers located at the contact with the meta-volcanics. Furthermore, different radon concentrations in water can be detected between the main creek and secondary inflows. Although both are subjected to a piston flow hydrodynamic response, the former shows an increase in Rn during floods (with a lag of 46 hours) due to the mobilization of long-resident water volumes in karst fractures, while in the latter case, there is a dilution of water in contact with radioactive elements of the impermeable basement (delayed by 6 hours and caused by volumes of neo-infiltration). The analysis of Rn emissions related to the site seismicity reveals no relationship, likely due to the low magnitudes and the predominant effect of hydrodynamics.
Weighted joint curve inversion of aquifer parameters in pumping tests with multiple observation wells
Authors: Li Mingqian , Wang He , Gu Hongbiao , Li Sen , Chi Baoming 
Published: July 2024

Abstract

Accurately calculating hydrogeological parameters is crucial for evaluating and managing groundwater resources. Pumping tests are primarily used to obtain aquifer parameters, the accuracy of which directly influences the assessment of regional hydrogeological conditions, as well as the subsequent development, utilization, protection, and management of groundwater resources. Traditional unsteady flow methods are limited by subjective influences and non-uniqueness in parameter determination, resulting in aquifer parameters that are dependent on the estimation method and observation well locations. This presents a significant challenge for optimal parameter selection. In this study, a weighted joint curve method (WJCM) based on Theis equation and optimization theory was developed that simultaneously considers both the pumping and recovery stages of field tests. The WJCM can be applied to determine unique aquifer parameters in pumping tests involving multiple observation wells and can be implemented rapidly using Excel. Actual pumping test data in a confined aquifer were used to compare results obtained from the proposed method with those obtained from three traditional parameter estimation methods. The results indicate that the WJCM produces reliable results and unique parameters, is highly efficient, and is easily implemented. These findings have theoretical and practical implications for pumping test parameter inversion, relevant software development, and the evaluation and management of groundwater resources.
Evaluation of postural stress and risk factors for developing work-related musculoskeletal disorders among full-time women homemakers
Authors: Norouzi Samaneh , Tavafian Sedigheh Sadat , Cousins Rosanna , Mokarami Hamidreza 
Published: July 2024

Abstract

Background
Housework activities force women to work in poor and awkward postures which impose biomechanical stresses on various parts of the body. Therefore, the risk of musculoskeletal disorders (MSDs) is high among women homemakers. The aim of this cross-sectional observational study was to assess postural load risk in various household tasks among Iranian full-time women homemakers.
Methods
Participants were 160 Iranian full-time women homemakers. Using face-to-face interviews and field observations, the main tasks typically performed by the homemakers were identified. These included sweeping floors, washing dishes (with two sub-tasks of cleaning dishes and placing dishes in the sink basket), cooking, washing clothes with a washing machine (including two sub-tasks carrying a basket of clothes and loading and unloading the washing machine), house cleaning, and ironing. Finally, the posture for each of these six tasks was assessed using the rapid entire body assessment (REBA) and the action level for each task was determined.
Results
The REBA indicated that housework requires physical effort, and these tasks in particular put excess pressure on the body, meaning that homemakers performed their tasks with moderate to high postural load risk. Cooking had the highest level of risk and the mean REBA score (SD) for this task was 12.23 (1.91). Of the six tasks studied, the trunk and neck were exposed to the highest postural load risk.
Conclusion
Overall, the data in this study indicated that doing housework tasks can be harmful to health, and that intervention measures are necessary to reduce the risk of MSDs in homemakers. The findings of the present study can provide direction for implementing effective interventions to prevent MSDs in these women.