bluuebunny/crossref_metadata_2025_split huggingface dataset:
IMPROVING EMPLOYEE PERFORMANCE THROUGH COMPETENCE AND WORK DISCIPLINE : A CASE STUDY AT THE REGIONAL SECRETARIAT OFFICE OF PATI REGENCY
Authors: Suparmi Suparmi , Nurchayati Nurchayati , Juniarto Galuh , Suprapti Sri 
Published: November 2024

This study aims to determine employee performance strategies through competence and work discipline. The population and sample used were employees of the Regional Secretariat Office of Pati Regency in the general section, totaling 50 respondents. The data collected were 50 respondents from the Regional Secretariat Office of Pati Regency, specifically the general section. The sampling technique used is a saturated sample. Data collection methods using primary data. The analysis technique used is multiple linear regression analysis, the results of the analysis reveal that partial competence can be used as a strategy to improve employee performance through knowledge, skills, experience, attitudes, and education levels that support the positive and significant results of the analysis, as well as work discipline that to improve employee performance can use work discipline through high attendance, obeying the rules, obeying work standards, working ethically according to the results of the analysis which show positive and significant.
Adherence to preventive behaviors and perceived risk of Iranian medical students in response to the COVID-19 pandemic: Structural Equation Modeling
Authors: Soleimanvandi Azar Neda , Haj-Sheykholeslami Arghavan , Danesh Farshid , Ahmadi Seyyed Amir Yasin , Mohammad Sharifi Ali , Mahmoudi Maryam 
Published: November 2024

BackgroundThe COVID-19 pandemic resulted in a significant threat to people’s lives. Detection of adherence to preventive behaviors and risks perceived by people is essential for infection control. Medical students are future healthcare providers.ObjectiveThis study explored adherence to preventive behaviors and risk perception of the COVID-19 pandemic in Iran’s medical students.Material and methodsIn this cross-sectional study, Iranian medical students participated whose preventive behaviors and risk perceptions of COVID-19 were assessed by an online tool. Generalized Structural Equation Modeling (SEM) with a beta-regression family was used for mediation analysis.ResultsA total of 654 medical students participated. The mean risk perception of COVID-19 on a 1 to 7 range scale was 3.53±1.7 for themselves and 3.66±1.7 for their family members. The risk perception for disease severity was 2.9±1.5. According to SEM, male sex, COVID-19 history, and living with parents were predictors of adherence directly and through the mediator pathway of risk perception (P <0.1). Briefly, the male sex reduced adherence directly and through risk perception reduction. The history of COVID-19 directly reduced adherence, but through the mediation pathway of risk perception, it increased adherence. However, the total effect was in favor of adherence reduction. Living with parents directly increased adherence but reduced adherence through the mediation pathway of risk perception. However, the total effect was in favor of adherence increase.ConclusionsAlthough conventionl statistical analaysis did not support the association of risk perception and adherence, the generalized SEM showed risk perception as a potential mediator with a small effect. The present study showed the roles of sex, COVID-19 history, and living with parents as the factors affecting risk perception and preventive behaviors on the basis of SEM results. Among the results, living with parrants was a modifiable factor to increase the adherence.
Pengaruh Dinamis Modal Manusia yang Menguasai Teknologi Informasi dan Komunikasi Terhadap Pertumbuhan Ekonomi
Authors: Bahri Zainul 
Published: November 2024

Penelitian tentang pengaruh Teknologi Informasi dan Komunikasi (TIK) dan Indeks Pembangunan Manusia (IPM) terhadap pertumbuhan ekonomi telah banyak dilakukan oleh para ahli. Namun hanya sedikit penelitian yang mencoba untuk mengetahui pengaruh interaksi antara TIK dan IPM terhadap pertumbuhan ekonomi. Penelitian ini dilakukan untuk mengetahui pengaruh dinamis antara TIK, IPM dan interaksi antara IPM dan TIK terhadap pertumbuhan ekonomi. Penelitian ini merupakan penelitian kuantitatif dengan menggunakan data panel di 10 Provinsi yang ada di Pulau Sumatera periode 2015 sampai dengan 2022. PDRB Atas Dasar Harga Konstan (ADHK) digunakan sebagai proksi dari pertumbuhan ekonomi, TIK menggunakan proksi Indeks TIK, modal manusia menggunakan proksi IPM. Metode SYS GMM dipilih untuk melihat pengaruh dinamis variabel bebas terhadap variabel terikat, berdasarkan hasil uji Sargan yang dilakukan untuk menentukan valid atau tidaknya model yang digunakan serta uji konsistensi estimasi GMM dengan menggunakan uji Arellano Bond. Ketiga model yang digunakan dalam penelitian ini konsisten dan tidak terdapat autokorelasi pada error first difference nya. Hasilnya TIK, IPM dan interaksi antara IPM dan TIK berpengaruh positif terhadap pertumbuhan ekonomi yakni peningkatan TIK, IPM dan interaksi antara IPM dan TIK dapat meningkatkan pertumbuhan ekonomi. TIK meningkatan akses ke peluang ekonomi, pendidikan, dan partisipasi sosial, dan mendukung inklusivitas. Sementara itu, melalui efisiensi sumber daya, manajemen lingkungan, dan inovasi berkelanjutan, teknologi berkontribusi pada pertumbuhan ekonomi yang berkelanjutan. Untuk memaksimalkan manfaat ini, diperlukan kebijakan yang mendukung, yakni: peningkatan akses dan infrastruktur TIK, pengembangan keterampilan digital, perlindungan tenaga kerja dan penciptaan lapangan kerja baru, mengatasi ketimpangan digital melalui program inklusi digital, pengembangan kebijakan inovasi dan penelitian, perlindungan sosial dan penguatan jaminan sosial, regulasi dan kebijakan yang adaptif.
Kata kunci: Indeks TIK 2; Pertumbuhan Ekonomi 3.Indeks Pembangunan Manusia 4. Pengaruh Dinamis 5.GMM
Cardiac remodeling in elite young Asian female soccer players
Authors: Kim Narae , Park Hyunkyung , Sohn Il Suk , Yang In-Ho 
Published: November 2024

IntroductionAn athlete's heart (AH) varies depending on race, sex, age, and the type and intensity of training. Given that soccer is a common sport, evaluation of cardiac function in soccer players is important; however, few studies have analyzed adolescent soccer players. Therefore, this study, aimed to identify early changes in AH in soccer players by evaluating the echocardiographic findings of adolescent Asian female soccer players for whom existing data are scarce.MethodsWe evaluated 20 Korean female under-20 national soccer team players and 42 age-matched healthy females. Participants provided physical examination data such as height, weight, blood pressure, and pulse, along with echocardiographic results. On echocardiography, parameters related to the morphology of the left atrium (LA) and left ventricle (LV) and those related to the systolic and diastolic function of the LV were measured.ResultsThe athlete group had a lower blood pressure and pulse rate than the control group. Echocardiography indicated that both the LA volume index and LV volume in the athlete group were large by approximately 1.5 times compared with those in the control group. The LV wall thickness and mass index were also significantly large in the athlete group. For LV diastolic function, parameters indicating early diastolic filling were substantially higher in the athlete group than in the control group.ConclusionsAdolescent female soccer players exhibited differences in cardiac morphology and an enhanced diastolic function. Therefore, this study suggests that AH begins in adolescence, with changes in both morphology and function.
The role of elastography in determining the risk of malignant thyroid nodules in children
Authors: Kiszka-Wiłkojć Aleksandra , Taczanowska-Niemczuk Anna , Januś Dominika , Maślanka Marcin , Godlewska Joanna , Kujdowicz Monika , Wiłkojć Michał , Górecki Wojciech 
Published: November 2024

IntroductionUltrasonography is fundamental method of diagnosing focal thyroid lesions. The additional element of ultrasound examination is Strain Elastography which allows for determining the degree of elasticity of the nodule while comparing it to the surrounding thyroid parenchyma. Pediatric thyroid nodules have a higher malignancy risk than in adults, warranting the consideration of fine-needle aspiration biopsy (FNAB) in children.Material and methodsA prospective data analysis of children with focal thyroid lesions treated from 2021 to 2022 was performed. The patients underwent ultrasound and elastography examinations to obtain the Strain Ratio (SR) of the nodules and were qualified for FNAB. SR was determined by the windowing method of relative strains in a semi-quantitative assessment. The FNAB score was determined on the Bethesda scale and the histological examination of the thyroid nodule was performed. The SR values were stratified in three groups: I - thyroid cancer, II - low-risk thyroid tumors, and III - benign lesion. The Kruskal-Wallis test was used to find the relation between the value of SR elastography and the malignancy, with the p value &lt; 0.05 considered significant. The data were analyzed using the multiple comparisons test.ResultsThe 123 FNABs were performed in 100 patients. The final analysis included 119 nodules in 96 patients. In 19 cases, the nodule was malignant, in 5 cases they were low-risk tumors, and in 95 - benign lesions. A difference of the SR value between groups in the pairs of malignant and benign tumors, and malignant and low-risk tumors was revealed. Since no statistically significant difference in the level of elastography was found between benign and low-risk tumors, both groups were combined and formed a group of benign tumors. For the combined groups, the Man-Whitney test was performed, confirming that there was a statistically significant difference between the groups of malignant and benign tumors in the value of SR elastography. The cut-off point for SR for malignant tumors was &gt;3.ConclusionsThe SR index of elastography is significantly higher in malignant nodules. and might be used to select changes with an increased risk of malignancy in thyroid ultrasound of children.
Subtyping colorectal cancer based on septic shock-associated genes: prognosis and immune characteristics
Authors: Zhao Jinkai , Chen Jiaan , Zhang Jiancheng , Pan Xuming , Xu Buhai , Miao Jinli , Wang Wenmin , Jin Guangjun 
Published: November 2024

BackgroundSepsis and colorectal cancer (CRC) are leading causes of death. Given their mutual dependence for susceptibility, we used bioinformatics to explore potential connections between septic shock (SS) and CRC.MethodsWe identified 452 co-expressed genes between SS-related differential expression genes (SS-DEGs) and CRC patient-expressed genes (TCGA-CRC genes). CRC samples were categorized into two cluster subgroups through hierarchical clustering. We then compared the prognosis and immune landscapes of the two cluster subgroups through survival analysis, immune microenvironment analysis, and immune therapy response evaluation.ResultsClustering analysis of the 452 CRC patient-expressed SS-DEGs identified two subtypes: SS-like CRC (SL-CRC) and non-SS-like CRC (NSL-CRC). There were no significant differences in overall survival between the CRC subtypes. However, the subtypes displayed significant differences in immune score, stromal score, and ESTIMATE score. Based on immune therapy databases, there were also significant differences in responses to anti-CTLA-4 and anti-PD-1 immune checkpoint inhibitors between the subtypes.ConclusionOur study reveals significant differences in the immune microenvironment and immune therapy responses between SL-CRC and NSL-CRC subtypes. These findings provide a foundation for identifying new therapeutic targets and developing personalized treatment strategies for specific CRC subtypes.
A genome-wide cross-trait analysis identifying shared genetic basis and causal relationships between Hunner-type interstitial cystitis and autoimmune diseases in East Asian populations
Authors: Lyu Xinyi , Peng Liao , Xu Xueyuan , Fan Yang , Yang Yong , Chen Jiawei , Liu Mengzhu , Chen Yuanzhuo , Zhang Chi , Yang Shiqin , Shen Sihong , Zhang Jie , Zeng Xiao , Shen Hong , Luo Deyi , Lin Yifei 
Published: November 2024

PurposeEpidemiological studies have demonstrated the clinical link between Hunner interstitial cystitis (HIC) and autoimmune diseases (ADs), suggesting potential shared genetic bases for their comorbidity. We aimed to investigate the shared genetic architecture and causal relationships between HIC and ADs.MethodsWe conducted a genome-wide cross-trait study with ~170000 individuals of East Asian ancestry to investigate the shared architecture between HIC and ADs. Bidirectional Mendelian randomization (MR) was used to assess potential causal relationships and a multi-trait analysis of GWAS (MTAG) was conducted to identify their associated pleiotropic loci. Fine-mapping analysis narrowed candidate gene susceptibility loci and colocalization analysis was performed to identify shared variants at specific locus. Lastly, transcriptome-wide association (TWAS) and functional analysis were utilized to explore potential shared gene-tissue associations.ResultsThrough bidirectional MR analysis, we observed a positive causal effect of AIH(ORIVW=1.09, PIVW=1.00×10-3) and RA (ORIVW=1.47, PIVW&lt;1.00×10-4) on HIC and a negative causal effect of UC on HIC (ORIVW=0.89, PIVW&lt; 1.00×10-4). Furthermore, we unveiled a robust positive causal effect of HIC on T1D(ORConMix=1.05, PConMix=1.77×10-3). Cross-trait meta-analysis identified a total of 64 independent SNPs associated with HIC and ADs. Functional analysis revealed that the identified variants regulated gene expression in major tissues belonging to the autoimmune system.ConclusionsOur findings might offer insights into the shared underlying etiology of HIC and ADs.
Role of CD38 in mediating the effect of Bacillus on acute pancreatitis: a study of mediated Mendelian randomization
Authors: Xiao Junhao , Tao Zhuoyan , Luo Mingjian , Yan Yong , Ke Shaobiao , Mao Benliang , Zhan Jiulin , Wang Zhe , Wang Bailin , Li Zhiwei 
Published: November 2024

BackgroundSome studies suggest a potential link between intestinal flora and acute pancreatitis (AP). However, the causal relationships between specific intestinal flora and AP, and the possible mediating role of immune cell traits, remain unclear.MethodsA genome-wide association study (GWAS) involving 5,959 participants was conducted to identify genetic instrumental variables associated with 473 intestinal flora taxa. Summary statistics for AP were obtained from the UK Biobank. Immune cell traits were also identified using large-scale GWAS summary data. We employed a two-sample bidirectional Mendelian randomization (MR) approach to investigate the causal relationships between intestinal flora, immune cell traits, and AP, with inverse variance weighting (IVW) as the primary statistical method. Sensitivity analyses, including the MR-Egger intercept test, Cochran’s Q test, MR-PRESSO test, and leave-one-out test, were conducted to assess the robustness of our findings. Additionally, we explored whether immune cell traits mediate the pathway from intestinal flora to AP.Results11 positive and 11 negative causal relationships were identified between genetic susceptibility in intestinal flora and AP. Furthermore, 19 positive and 9 negative causal relationships were observed between immune cell traits and AP. Notably, CD38 mediated the causal relationship between Bacillus C and AP.ConclusionsThis study is the first to uncover novel causal relationships between various intestinal flora and acute pancreatitis, emphasizing the mediating role of immune cell traits in the pathway from intestinal flora to AP. It also provides new evidence supporting the conditional pathogenicity of the Bacillus genus.
Efficiency and safety of Buzhong Tiaogan granule for treating the colorectal cancer patients with liver metastasis: study protocol for a multicenter randomized controlled trial
Authors: Hao Shu-Lan , Zhou Yan-Chen , Li Xiao-Li , Zhong Qi-Ming , Liu Li-Kun , Gao Yu , Wang Xi-Xing , Yang Wen-Hui , Yang Li-Fang 
Published: November 2024

ObjectiveTo evaluate the clinical efficacy and safety of Buzhong Tiaogan granule (BTG) in treatment of colorectal cancer patients with liver metastasis and provide high-level evidence for clinical practice.Methods and analysisThis is a prospective, randomized, controlled, multi-center controlled trial. A total of 210 patients diagnosed with spleen deficiency and liver depression, as well as colorectal cancer liver metastasis (CRLM) of the stasis and toxin interception type, will be enrolled in the study. The participants will be randomly allocated into two groups: a treatment group that will receive BTG plus conventional first-line anti-tumor therapy and a control group that will receive conventional first-line anti-tumor therapy alone. The primary outcomes are progression-free survival (PFS) and quality of life scores. The secondary outcomes are as follows: (a) overall survival (OS); (b) objective response rate (ORR); (c) liver-specific progression-free survival; (d) disease control rate (DCR); (e) traditional Chinese medicine (TCM) syndrome score; (f) Piper Fatigue Scale, and (g) Karnofsky Performance Status (KPS) score. Safety evaluations will be conducted throughout the study period.DiscussionThe results of this trial will provide scientific and objective data necessary for the evaluation of the efficacy and safety of BTG for colorectal cancer patients with liver metastasis.Clinical trial registrationThe trial was registered at ClinicalTrials.gov (ChiCTR2400084861) on May 27, 2024.
The effect of three urease inhibitors on H. pylori viability, urease activity and urease gene expression
Authors: Shaalan Hanaa , Azrad Maya , Peretz Avi 
Published: November 2024

BackgroundTreatment of Helicobacter pylori (H. pylori) infections is challenged by antibiotic resistance. The urease enzyme contributes to H. pylori colonization in the gastric acidic environment by producing a neutral microenvironment. We hypothesized that urease inhibition could affect H. pylori viability. This work aimed to assess the effects of acetohydroxamic acid (AHA), ebselen and baicalin on urease activity, bacterial viability and urease genes expression in H. pylori isolates.MethodsForty-nine H. pylori clinical isolates were collected. Urease activity was assessed using the phenol red method. The urease inhibition assay assessed inhibitors' effects on urease activity. Flow cytometry assessed the effect of inhibitors on bacterial viability. Real time PCR was used to compare urease genes expression levels following urease inhibition.ResultsUrease activity levels differed between isolates. Acetohydroxamic acid inhibited urease activity at a concentration of 2.5 mM. Although baicalin inhibited urease activity at lower concentrations, major effects were seen at 8 mM. Ebselen's major inhibition was demonstrated at 0.06 mM. Baicalin (8 mM) significantly reduced ATP production compared to untreated isolates. Baicalin, ebselen and acetohydroxamic acid significantly reduced H. pylori viability. Increased urease genes expression was detected after exposure to all urease inhibitors.DiscussionIn conclusion, higher concentrations of baicalin were needed to inhibit urease activity, compared to acetohydroxamic acid and ebselen. Baicalin, ebselen and acetohydroxamic acid reduced H. pylori viability. Therefore, these inhibitors should be further investigated as alternative treatments for H. pylori infection.
Microbial communities during the composting process of Agaricus subrufescens and their effects on mushroom agronomic and nutritional qualities
Authors: Wang Chunxia , Wang Dongxia , Li Chao , Ge Zhaopeng , Hao Liubin , Albasher Gadah , Feng Fan , Sun Yue , Lyu Yanfen , Zheng Suyue 
Published: November 2024

IntroductionTunnel composting technology for preparing Agaricus subrufescens cultivation media can achieve a higher biological efficiency (BE) and a lower contamination rate (CR). However, this technology lacks in-depth and systematic study.MethodsIn the present study, the changes in the microbiome and microbial metabolic functions were surveyed using metagenomic analysis. The physicochemical parameters, agronomic properties and nutritional qualities were also evaluated.Results and discussionResults showed that the contents of cellulose, hemicellulose and lignin dropped to 10.18, 11.58, 27.53%, respectively at the end of composting. The tunnel composting technology led to significant increases in crude protein content (32.56%) and crude fiber content (13.68%). Variations of physicochemical characteristics led to different successions of microbial communities. Bacteria manifested significantly higher abundance than fungi. Firmicutes, Actinobacteriota, Chloroffexi and Deinococcota were the predominant bacterial phyla. Ascomycota and Basidiomycota were the dominant fungal phyla in the thermophilic phase. Pseudonocardia, Truepera, and Thermopolyspora were positively correlated with the yield of A. subrufescens. In addition to TN, most of the physicochemical properties were significantly correlated with fungal communities in the thermophilic phase. The metabolisms of carbohydrate, amino acid and energy were the primary enrichment pathways. These findings deepen the understanding of microbial communities composition during the composting of A. subrufescens substrates. Moreover, this study provides a basis for improving tunnel composting technology.
Harnessing AI for advancing pathogenic microbiology: a bibliometric and topic modeling approach
Authors: Tian Tian , Zhang Xuan , Zhang Fei , Huang Xinghe , Li Minglin , Quan Ziwei , Wang Wenyue , Lei Jiawei , Wang Yuting , Liu Ying , Wang Jia-He 
Published: November 2024

IntroductionThe integration of artificial intelligence (AI) in pathogenic microbiology has accelerated research and innovation. This study aims to explore the evolution and trends of AI applications in this domain, providing insights into how AI is transforming research and practice in pathogenic microbiology.MethodsWe employed bibliometric analysis and topic modeling to examine 27,420 publications from the Web of Science Core Collection, covering the period from 2010 to 2024. These methods enabled us to identify key trends, research areas, and the geographical distribution of research efforts.ResultsSince 2016, there has been an exponential increase in AI-related publications, with significant contributions from China and the USA. Our analysis identified eight major AI application areas: pathogen detection, antibiotic resistance prediction, transmission modeling, genomic analysis, therapeutic optimization, ecological profiling, vaccine development, and data management systems. Notably, we found significant lexical overlaps between these areas, especially between drug resistance and vaccine development, suggesting an interconnected research landscape.DiscussionAI is increasingly moving from laboratory research to clinical applications, enhancing hospital operations and public health strategies. It plays a vital role in optimizing pathogen detection, improving diagnostic speed, treatment efficacy, and disease control, particularly through advancements in rapid antibiotic susceptibility testing and COVID-19 vaccine development. This study highlights the current status, progress, and challenges of AI in pathogenic microbiology, guiding future research directions, resource allocation, and policy-making.