bluuebunny/crossref_metadata_2025_split huggingface dataset:
PENGARUH PRINSIP-PRINSIP GOOD GOVERNANCE TERHADAP KUALITAS PELAYANAN PUBLIK DI KANTOR DESA TEGALREJO
Authors: Saputra Wendi Aji 
Published: July 2024

Tujuan penelitian ini adalah untuk mengetahui Pengaruh Prinsip-Prinsip Good Governance terhadap Kualitas Pelayanan Publik di Kantor Desa Tegalrejo. Metode yang digunakan dalam penelitian ini menggunakan jenis penelitian kuantitatif deskriptif dengan metode penelitian survey. Pada penelitiain ini populasi yang diambil adalah masyarakat Desa Tegalrejo dengan jumlah masyarakat sebanyak 458. Untuk menentukan jumlah sampel dalam penelitian ini menggunakan rumus slovin dengan diperoleh jumlah sampel sebanyak 214 responden. Hasil penelitian terdapat pengaruh yang signifikan antara prinsip good governance terhadap kualitas pelayanan publik di Kantor Desa Tegalrejo. Hal tersebut diperoleh dari t-test dimana = 23,838 lebih besar dari = 1,971 dan nilai sig. 0,000 dan koefisien determinasi memperoleh nilai 0,728 atau 72,8% yang berarti bahwa kualitas pelayanan publik di kantor desa Tegalrejo dipengaruhi oleh prinsip good governance sebesar 72,8%.
The impact of fangxian huangjiu on the fermentation quality and microbial community dynamics of cigar wrapper leaves
Authors: Yao Lan , Zhang Tongtong , Shan Yule , Yang Jingpeng , Yu Jun , Yang Chunlei , Chen Xiong 
Published: July 2024

Introduction: Cigar wrapper leaves (CWLs) plays a crucial role in reflecting cigar overall quality. Originating from the Qinba region of China, Fangxian Huangjiu (FHJ) is distinctive from other varieties of Huangjiu.Methods: To investigate the effects of FHJ on enhancing the aroma and quality of CWLs, as well as the consequent alterations in microbial communities, Gas Chromatography-Mass Spectrometry (GC-MS) coupled with Odor Active Value (OAV) analysis was utilized to evaluate the volatile aroma components of CWLs.Results and Discussion: The results indicated that the total amount of aroma compounds in CWLs reached 3,086.88 ug/g, increasing of 270.50% and 166.31% compared to the unfermented and naturally fermented groups, respectively. Among them, β-ionone and 4,7,9-megastigmatrien-3-one from the FHJ fermentation group significantly influenced the sensory characteristics of CWLs. Metagenomic results demonstrated that FHJ fermentation enriched the abundance of both shared and unique microbial species in CWLs, while also increased the diversity of differential microbial species. Addition of FHJ effectively altered the microbial community structure of CWLs from a dominance of Staphylococcus to a prevalence of Staphylococcus, Aspergillus, Pseudomonas, and Acinetobacter. The interactions among these diverse microorganisms collectively contribute to the enhancement of the intrinsic quality of CWLs. This paper provides a theoretical basis for improving the quality of CWLs by FHJ and exploring the changes of microbial community structure and interaction between CWLs and FHJ.
Argonaute-2 autoantibodies: a promising biomarker for predicting mortality in HBV-related acute-on-chronic liver failure patients with cirrhosis
Authors: Wang Yixuan , Hu Yue , Li Jiaqi , Ma Huailu , Shi Zongqi , Wen Chaojing , Long Yu , Li Ziwei , Sun Hang , Yang Yixuan , Shi Xiaofeng 
Published: July 2024

Background &amp; aimsHBV infection initiates autoimmune responses, leading to autoantibody generation. This research explores the role of autoantibodies in HBV-related Acute-on-Chronic Liver Failure (ACLF), offering novel perspectives for clinical management.MethodWe applied immunoprecipitation and iTRAQ techniques to screen for autoantibodies in serum from HBV-related cirrhosis patients and conducted detection with conformation- stabilizing ELISA in a cohort of 238 HBV-infected individuals and 49 health controls. Our results were validated in a retrospective cohort comprising 106 ACLF patients and further assessed through immunohistochemical analysis in liver tissues from an additional 10 ACLF cases.ResultsUtilizing iTRAQ, we identified Argonaute1-3 autoantibodies (AGO-Abs) in this research. AGO2-Abs notably increased in cirrhosis, decompensation, and further in ACLF, unlike AGO1-Abs and AGO3-Abs. This reflects disease severity correlation. Logistic regression and COX models confirmed AGO2-Abs as independent prognostic indicators for decompensated liver cirrhosis (DLC) and ACLF. In the ROC analysis, AGO2-Abs showed significant diagnostic value for predicting 28- and 90-day mortality (AUROC = 0.853 and 0.854, respectively). Furthermore, combining AGO2-Abs with the Child-Pugh, MELD, and AARC scores significantly improved their predictive accuracy (P &lt; 0.05). Kaplan-Meier analysis showed poorer survival for AGO2-Abs levels above 99.14μg/ml. These findings were supported by a retrospective validation cohort. Additionally, immunohistochemistry revealed band-like AGO2 expression in periportal liver areas, with AGO2-Abs levels correlating with total bilirubin, indicating a potential role in exacerbating liver damage through periportal functions.ConclusionsAGO2-Abs is a robust biomarker for predicting the mortality of patients with HBV-related ACLF.
Role of gut microbiota and metabolomics in the lipid-lowering efficacy of statins among Chinese patients with coronary heart disease and hypercholesterolemia
Authors: Hu Lihua , Hu Boxian , zhang Long , Hu Yuhong , Zhang Yali , Zhang Ruihang , Yu Hongxi , Liu Dan , Wang Xiaolei , Lin Ouya , Gong Yanjun , Zhang Yan , Li Cheng , Li Jianping 
Published: July 2024

BackgroundStatins, being the primary pharmacological intervention for hypercholesterolemia, exhibit a notable degree of interpatient variability in their effectiveness, which may be associated with gut microbiota. This study sought to identify the biomarkers for evaluating differences in statin efficacy.MethodsA quasi case-control study was conducted among participants with hypercholesterolemia and coronary heart disease taking rosuvastatin essential. According to the level of low density lipoprotein cholesterol (LDL-C), participants was divided into the “Up to standard” (US) group and the “Below standard” (BS) group. 16S rDNA sequencing and untargeted metabolomics were applied to detected the information of gut microbiota and related metabolites.ResultsA total of 8 US and 8 BS group matched by age and sex were included in the final analysis. 16S rDNA sequencing results indicated that the characteristic strains of the US group were f-Eubacterium_coprostanoligenes and g-Papillibacter, while the characteristic flora of the BS group were o-C0119, g-Pseudolabrys, s-Dyella-Marensis and f-Xanthobacaceae. Metabolomic results suggested that the levels of chenodeoxycholic acid-3-β-D-glucuronide, 1-methylnicotinamide and acetoacetate in stool samples of the US group were significantly higher than those of the BS group. By identifying the differentially abundant bacterial taxa, the gut microbiota could modulate the efficacy of statins through producing enzymes involved in cholesterol metabolism.ConclusionsThe findings suggest that the difference in statin efficacy may be related to gut microbiota strains that can produce short-chain fatty acids and secondary bile acids and affect the efficacy of statins by regulating the activities of cholesterol metabolite-related proteins. Metabolites related to short-chain fatty acids and secondary bile acids in the gut are expected to be biomarkers indicating the efficacy of statins.
Gender differences in outcomes after left atrial appendage closure with Watchman FLX device: insights from the Italian-FLX registry
Authors: Bonanni Michela , Frazzetto Marco , Nardone Annalisa , Meucci Francesco , Musto Carmine , Quaranta Gaetano , Saccà Salvatore , Bedogni Francesco , Maffeo Diego , Ugo Fabrizio , Guarracini Fabrizio , Bocuzzi Giacomo , Durante Alessandro , Granatelli Antonino , Tumminello Gabriele , Eusebio Geppina , Grasso Carmelo , De Marco Federico , Cortese Bernardo , Mariani Massimiliano , Berti Sergio 
Published: July 2024

IntroductionRecent studies have shown gender differences in cardiovascular outcomes after left atrial appendage closure (LAAC), highlighting different complication rates and adverse events, particularly in short-term assessments. As a result, there remains a significant knowledge gap on how these differences directly impact the efficacy and safety of LAAC procedures. The aim of this retrospective study was to investigate the clinical outcomes of LAAC in women and men using the Watchman FLX device.MethodsThis retrospective, multicenter study analyzes gender-specific outcomes in 650 patients who underwent LAAC with the Watchman FLX device between March 2019 and May 2022, drawn from the ITALIAN-FLX registry.ResultsThe results show comparable rates of all-cause mortality, stroke, transient ischemic attack and major bleeding in men and women 12 months after the procedure. Notably, no significant gender differences were found for periprocedural complications.ConclusionIn conclusion, this study shows that LAAC with the Watchman FLX device has comparable clinical outcomes between genders at both short-term and long-term follow-up.
The relationship between sex hormone levels and ocular surface parameters in girls with idiopathic central precocious puberty
Authors: Jiang Wen , Yang Lixia , Liang Shuang 
Published: July 2024

PurposeThe study aimed to investigate the correlation between the change of sex hormone levels and ocular surface parameters in girls with idiopathic central precocious puberty(ICPP).MethodsEighteen girls with ICPP and 18 age-matched normal girls participated in this study, all of the participants had undergone physical measurements, laboratory tests, imaging examination and ocular surface assessments.ResultsThe Objective Scatter Index (OSI) in the ICPP group was significantly higher than in the control group (P = 0.031), girls with ICPP showed slightly lower MNITBUT compared to the normal control group, although this difference was not statistically significant. Bivariate analysis revealed a positive association between estradiol and OSI (r=0.383, P=0.021), Additionally, in the study population, both Luteinizing hormone (LH) and Follicle-stimulating hormone (FSH) were negatively correlated with Mean noninvasive tear breakup time (MNITBUT) (r=-0.359, P=0.031)(r=-0.357, P=0.032).ConclusionIn comparison with the normal control group, alterations in the OSI were observed in girls with ICPP. This alteration may be associated with an elevation in estrogen levels. Although there was a slight non-significant decrease in NITBUT in ICPP girls, the negative correlation between LH and FSH with MNITBUT suggests new perspective for further investigation.
Research on policy instruments for promoting green lifestyle in China—a multi-dimensional analysis based on current policy texts
Authors: Tian Huawen , Cui Yan , Dong Jian 
Published: July 2024

Introduction: In the past decade, the construction of ecological civilization has been a major national strategy in China. Since 2020, the Chinese government has officially proposed the goals of achieving peak carbon emissions by 2030 and carbon neutrality by 2060. As one of the key issues, promoting a green lifestyle is the fundamental means of achieving ecological civilization construction. It is an inevitable path to achieve the “carbon peak and carbon neutrality” goals. The current status of China’s efforts in this area is undoubtedly worth paying attention to. The purpose of this study is to analyze this issue.Method: This study uses text analysis methods. From 92 policy documents issued by the Chinese government, we extracted effective text totaling 100,122 characters for analysis. Perform three-level coding on the above text, and analyze the policy tools of the Chinese government to promote green lifestyles from three dimensions: the categories of policy tools, the target groups targeted by policy tools, and the implementing entities of policy tools.Conclusion: The study found that the current promotion of a green lifestyle in China primarily relies on information-based policy tools and market-based policy tools, with mandatory tools as a supplement. Information-based policy tools are mainly used for the public, while a combination of market-based policy tools, information-based policy tools, and mandatory policy tools is used for enterprises. Local governments’ attention to this issue is insufficient, manifested in the limited number of policy tools adopted, the single composition of these tools, and the lack of necessary constraints on enterprises.Discussion: Overall, the current policy tool selection is reasonable, but there are also problems such as over-reliance on information-based policy tools, overly simplistic market-based policy tools, insufficient market-based policy tools for the public, and the underuse of voluntary policy tools.
Optimization design of highway route based on deep learning
Authors: Zhang Jiankang 
Published: July 2024

Introduction: In recent years, the total mileage and line density of China’s highways have increased year by year. It is estimated that by 2026, the total mileage of national highways will exceed 5.74 million kilometers. An efficient highway network is crucial for a country’s move towards traffic modernization, economic development, and improvement of people's livelihoods. The highway route is the basic structure of the highway network, determining whether the highway can maximize its economic and traffic effects. Therefore, research on highway route design holds significant engineering value. Highway planning is a complex issue involving a wide range of factors. Especially with the increasing awareness of environmental protection, it is necessary to consider natural problems in addition to technical and economic costs.Methods: This paper first points out the important position of highway route research in highway rules, summarizes the research status at home and abroad, and lists conventional highway planning measures. It then discusses the optimization design based on vehicle running speed and driver comfort, and introduces related theories of deep learning and their applicability to multi-objective optimization problems. Finally, aiming at the problem of highway route planning influenced by many factors, a deep learning strategy based on a multi-objective genetic algorithm is adopted, and its multi-objective optimization model and optimization objective function are presented.Results: The proposed deep learning strategy based on a multi-objective genetic algorithm is a new attempt to combine genetic algorithms with deep learning in highway route planning to solve its multi-objective comprehensive optimization problem. The results indicate that this strategy can determine the best route scheme by optimizing technology while satisfying external constraints, thereby achieving the optimal solution in terms of technology and economy, and improving the overall efficiency and sustainability of the highway.Discussion: This study provides a reference for the application of deep learning and other nonlinear multi-objective optimization research, aiding the research on highway route optimization design. By combining multi-objective genetic algorithms with deep learning, it effectively solves various multi-objective nonlinear problems, providing new methods and tools for highway route planning.
Genomic insights into adaptation and inbreeding among Sub-Saharan African cattle from pastoral and agropastoral systems
Authors: Akinsola Oludayo M. , Musa Abdulraheem A. , Muansangi Lal , Singh Sanchit P. , Mukherjee Sabyasachi , Mukherjee Anupama 
Published: July 2024

BackgroundIn Sub-Saharan Africa (SSA), cattle are crucial for socioeconomic stability yet face numerous environmental stressors such as diseases, parasites, and extreme heat within pastoral and agropastoral systems. Despite their significance, gaps remain in understanding how genetic diversity and inbreeding influence traits essential for disease resistance and environmental adaptability. This study examines the genomic adaptations that enable SSA cattle to thrive under these conditions and assesses the impact of inbreeding on such adaptive traits.MethodsWe analyzed genomic data from 113 cattle across four breeds—Kuri, N’dama, Zebu-Fulani, and Zebu-Bororo—employing Runs of Homozygosity (ROH) and Integrated Haplotype Score (iHS) analyses to identify historical and recent genetic selections. Strict quality controls using PLINK software ensured accurate genomic pattern identification related to adaptation and inbreeding.ResultsROH analysis revealed islands with genes such as RSAD2, CMPK2, and NOTCH1, which are involved in immune response and cellular stress management, highlighting regions of historical selection that have likely provided adaptive advantages in overcoming environmental and pathogenic stresses. In contrast, iHS analysis identified genes under recent selection like HIPK1, involved in stress response regulation, and EPHA5, which plays a crucial role in neural development and synaptic functions, potentially equipping these breeds with novel adaptations to ongoing and emergent environmental challenges.ConclusionThis research confirms that selective pressures inherent in pastoral and agropastoral systems profoundly influence the genetic structure of SSA cattle. By delineating the genetic bases of key adaptive traits, our study offers crucial insights for targeted breeding programs to enhance cattle resilience and productivity. These findings provide a valuable framework for future genetic improvements and conservation strategies, crucial for sustainable livestock management and economic stability in SSA.
Gut microbiota and pancreatic cancer risk, and the mediating role of immune cells and inflammatory cytokines: a Mendelian randomization study
Authors: Chen Zhiting , Wang Zhe , Bao Hejing , Ma Shudong 
Published: July 2024

IntroductionGut microbiota (GM) influences the occurrence and development of pancreatic cancer (PC), potentially through the involvement of inflammatory cytokines (IC) and immune cells (IM). We aimed to investigate the causal impact of the gut microbiota (GM) on pancreatic cancer (PC) and identify potential IC and IM mediators.MethodsThe summary statistics data from whole-genome association studies of gut microbiota, immune cells, inflammatory cytokines, and four types of pancreatic tumors (MNP: Malignant neoplasm of pancreas; BNP: Benign neoplasm of pancreas; ADCP: Adenocarcinoma and ductal carcinoma of pancreas; NTCP: Neuroendocrine tumor and carcinoma of pancreas). Two-sample univariable Mendelian randomization (UVMR), multivariable Mendelian randomization (MVMR), and mediation analysis were employed to assess the causal relationship between gut microbiota (GM) and pancreatic cancer (PC), as well as potential IC and IM mediators.ResultsThe two-sample UVMR analysis showed causal relationships between 20 gut microbiota species and pancreatic cancer, with pancreatic cancer affecting the abundance of 37 gut microbiota species. Mediation analysis revealed that Interleukin-6 (IL-6), “CD4 on naive CD4+ T cell” and “SSC-A on HLA DR+ Natural Killer” mediated the causal effects of gut microbiota on pancreatic cancer.ConclusionThis Mendelian randomization study demonstrates causal relationships between several specific gut microbiota and pancreatic cancer, as well as potential mediators (IC, IM).
The association of appendicular skeletal muscle mass with anthropometric, body composition, nutritional, inflammatory, and metabolic variables in non-dialysis-dependent chronic kidney disease men
Authors: Romejko Katarzyna , Szamotulska Katarzyna , Rymarz Aleksandra , Tomasz Rozmyslowicz , Niemczyk Stanisław 
Published: July 2024

BackgroundMuscle atrophy affects more than 50% of patients with chronic kidney disease (CKD) and is associated with increased morbidity and mortality. It is crucial to understand the mechanisms involved in the muscle atrophy in CKD and search for specific determinants of skeletal muscle mass loss, especially those which are available in everyday medical practice. This study aimed to evaluate the association between appendicular skeletal muscle mass (ASM) and anthropometric, body composition, nutritional, inflammatory, metabolic, and kidney function variables in non-dialysis-dependent CKD men.MethodsA total of 85 men with CKD and eGFR lower than 60 mL/min/1.73 m2 were included in the cross-sectional study: 24 participants with eGFR 59–45 mL/min/1.73 m2, 32 individuals with eGFR 44–30 mL/min/1.73 m2, and 29 men with eGFR ≤29 mL/min/1.73 m2. ASM was estimated by bioimpedance spectroscopy (BIS) with the use of a Body Composition Monitor (BCM). To evaluate ASM from BCM, Lin’s algorithm was used. Among anthropometric parameters, height, weight, and body mass index (BMI) were measured. Serum laboratory measurements were grouped into kidney function, nutritional, inflammatory, and metabolic parameters.ResultsASM was significantly associated with anthropometric and body composition variables. According to the anthropometric parameters, ASM correlated positively with weight, height, and BMI (p &lt; 0.001 and r = 0.913, p &lt; 0.001 and r = 0.560, and p &lt; 0.001 and r = 0.737, respectively). Among body composition variables, ASM correlated significantly and positively with lean tissue mass (LTM) (p &lt; 0.001, r = 0.746), lean tissue index (LTI) (p &lt; 0.001, r = 0.609), fat mass (p &lt; 0.001, r = 0.489), and fat tissue index (FTI) (p &lt; 0.001, r = 0.358). No other statistically significant correlation was found between ASM and kidney, nutritional, metabolic, and inflammatory variables.ConclusionIn male patients with CKD stages G3–G5 not treated with dialysis, ASM correlates significantly and positively with anthropometric and body composition parameters such as weight, height, BMI, LTM, LTI, fat mass, and FTI. We did not observe such relationship between ASM and kidney function, nutritional, metabolic, and inflammatory variables.
The differences of fibrinogen levels in various types of hemorrhagic transformations
Authors: Long Jingfang , Chen Jiahao , Huang Guiqian , Chen Zhen , Zhang Heyu , Zhang Ye , Duan Qi , Wu Beilan , He Jincai 
Published: July 2024

IntroductionHemorrhagic transformation (HT) is a serious complication that can occur spontaneously after an acute ischemic stroke (AIS) or after a thrombolytic/mechanical thrombectomy. Our study aims to explore the potential correlations between fibrinogen levels and the occurrence of spontaneous HT (sHT) and HT after mechanical thrombectomy (tHT).MethodsA total of 423 consecutive AIS patients diagnosed HT who did not undergone thrombolysis and 423 age- and sex-matched patients without HT (non-HT) were enrolled. Fibrinogen levels were measured within 24 h of admission after stroke. The cohorts were trisected according to fibrinogen levels. The HT were further categorized into hemorrhagic infarction (HI) or parenchymal hematoma (PH) based on their imaging characteristics.ResultsIn sHT cohort, fibrinogen levels were higher in HT patients than non-HT patients (p &lt; 0.001 versus p = 0.002). High fibrinogen levels were associated with the severity of HT. HT patients without atrial fibrillation (AF) had higher levels of fibrinogen compared to non-HT (median 3.805 vs. 3.160, p &lt; 0.001). This relationship did not differ among AF patients. In tHT cohort, fibrinogen levels were lower in HT patients than non-HT patients (p = 0.002). Lower fibrinogen levels were associated with the severity of HT (p = 0.004). The highest trisection of fibrinogen both in two cohorts were associated with HT [sHT cohort: OR = 2.515 (1.339–4.725), p = 0.016; that cohort: OR = 0.238 (0.108–0.523), p = 0.003].ConclusionOur study suggests that lower fibrinogen level in sHT without AF and higher fibrinogen level in tHT are associated with more severe HT.