bluuebunny/crossref_metadata_2025_split huggingface dataset:
Evaluation of the physical condition and the amount of musculoskeletal disorders in Ganjovian using the REBA and ROSA methods Dezful hospital employees
Authors: ES Alamshah , Z Milasi , M Mazaheri , Y Moradi Mehr , P Sabaghiyan 
Published: August 2023

Introduction: The most common occupational diseases are musculoskeletal disorders that happen with improper body posture while performing job duties. The present study aimed to determine the prevalence of musculoskeletal disorders and evaluate the physical condition of hospital employees using REBA and ROSA methods.
Materials and methods: This descriptive-analytical study was conducted on 125 employees of Dezful teaching hospital, selected by stratified random sampling method. Musculoskeletal disorders were assessed using the Nordic questionnaire, and Rapid Entire Body Assessment (REBA)، and Rapid Office Strain Assessment (ROSA) methods were used to assess physical condition. The normality of the data was checked using Kolmogorov-Smirnov test. Statistical analysis was done with SPSS version 23 software.
Results: The average age and work experience were 36.49±8.26 and 7.33±11.8 years, respectively. The highest prevalence of musculoskeletal disorders was related to the neck (47.7%) and wrist (40.4%), and the lowest was the elbow (7.8%). According to the REBA score, 18.3% of posture workers needed immediate corrections, and 37.8% needed corrections as soon as possible. According to the ROSA score, in 75.8% of the tasks, the work environment should be re-evaluated. There was a significant relationship (P-value<0.05) between wrist, shoulder, and neck disorders with gender, height, age, work history, and posture.
Conclusion: Considering the prevalence of musculoskeletal disorders and the high level of risk among employees, it is recommended to modify the workstation and train employees.
Effect of Pre-stroke Treatment of ACE Inhibitors/Angiotensin Receptor Blockers on Ischemic Stroke Severity and Functional Outcome
Authors: Horrany Nizar , Nassar Basel , Lynn Mordechai , Zreik Merna , Hassan Muhammad , Blum Arnon 
Published: August 2023

A growing number of clinical data suggests that the use of antiplatelets and/or statins pre-stroke are associated with reduced severity and better functional outcomes for ischemic stroke. Studies have shown that the long-term use of ACEI/ARB pre-stroke is beneficial in reducing severity at onset and improving functional outcomes. We aimed to compare stroke severity and early functional outcome between patients taking ACEI/ARB and those who were not, and to identify any additional effects to taking ACEI/ARB with antiplatelets, statins, or both.
In this retrospective case-control study, we assessed 218 patients who presented with ischemic stroke to the stroke unit in Padeh-Poriyah Hospital between 2019-2020. Of these patients, 119 took ACEI/ARB pre-stroke. A significantly higher percentage of ACEI/ARB-treated patients had a history of hypertension (HTN) and hyperlipidemia and were taking antiplatelets and/or statins, compared to the non-ACEI/ARB group. We observed that pre-stroke treatment with ACEI/ARB is associated with worsened stroke severity and reduced early functional outcomes.
No significant benefit to taking ACEI/ARB with antiplatelets and/or statins pre-stroke was observed. Due to the nature of our study, the data should be interpreted as suggestive. Thus, prospective studies of these medications on ischemic stroke severity and early outcomes are warranted.
Membentuk Kewarganegaraan Ekologis melalui Pendidikan Lingkungan berbasis Kegiatan Masyarakat
Authors: Edwin Nurdiansyah  , Kokom Komalasari  
Published: August 2023

ABSTRACT
This study aims to analyze the formation of the concept of ecological citizenship through community activity-based environmental education. This research was conducted in Talang Bubuk Village, Plaju District, Palembang City, South Sumatra Province. Data collection techniques were carried out through documentation and observation. Data analysis was performed using the Miles, Huberman & Saldana qualitative data analysis technique. Data analysis includes data reduction, data presentation and conclusion. The results of the study show that environmental education which is carried out on the basis of community activities is able to make people care more about the environment in which they live so that indirectly they have been able to form ecological citizenship in the community.
Group decision making in the analytic hierarchy process by hesitant fuzzy numbers
Authors: Ranjbar Mahdi , Effati Sohrab 
Published: August 2023

Abstract
‎Hesitant fuzzy numbers have been presented as an extension of the fuzzy numbers to take a better determining the membership functions of the parameters by several experts‎. ‎In this paper‎, ‎we use a triangular hesitant fuzzy numbers in the pairwise comparison matrix of analytic hierarchy process ‎‎by opinions of a group of decision maker‎‏s in ‎a‎ hesitant fuzzy environment‎. ‎We define consistency of the hesitant fuzzy pairwise comparison matrix and use the arithmetic operations on the hesitant fuzzy numbers and a new method of comparing hesitant fuzzy numbers to get the hesitant fuzzy performance score‎. ‎Finally‎, ‎a practical example is provided to show the the effectiveness of this study‎.
A retrospective 10 year survival analysis of 1340 Her-2 low positive breast cancer patients
Authors: Li Mengxin , Li Xuewen , Xu Feng , Jiang Hongchuan 
Published: August 2023

Abstract
Objectives
To evaluate the 10 years overall survival (OS) and disease-free survival (DFS) of 1340 Her-2 low breast cancer patients
Methods
From May 14th, 2010 to October 26th, 2019, 1874 breast cancer patients received surgery in our department, of which 1340 were diagnosed with Her-2 low expression by pathology. The patients were divided into 3 groups as Her-2 (0), Her-2 (1+), and Her-2 (2+) FISH (-) groups. Retrospective survival analysis and multivariate Cox proportional regression were performed to evaluate the overall survival (OS), disease-free survival (DFS), and risk factors of each group.
Results
Of the 1340 patients, 219 were in Her-2(0) (16.3%), 445 in Her-2 (1+) (33.2%), and 676 in Her-2 (2+) FISH (-) (50.4%) group. The mean follow-up times of the 3 groups were 30 months, 43 months, and 33 months, respectively, with the overall mean follow-up time 36 months. In hormone receptor positive (HR+) patients, both Her-2(0) (10-year DFS, 88.6%) and Her-2(1+) (10-year DFS, 62.1%) group had better 10-year disease-free survival(DFS)than Her-2(2+) FISH(-) group (10-year DFS 45.0%) [Her-2(0) vs. Her-2(2+) FISH(-), p = 0.0045; Her-2(1+) vs. Her-2(2+) FISH(-), p = 0.0195]. While no difference was seen between Her-2(0) and Her-2(1+) group (p = 0.0971) in DFS. Multivariate Cox proportional regression indicated Her-2 status was independent risk factor for worse 10-year DFS both in HR (+) patients [p = 0.009, HR = 2.523, 95%HR (0.979, 6.505)] and in the whole study population [p = 0.023, HR = 1.852, 95%HR (1.088, 3.153)].
Conclusion
In HR (+) breast cancers, Her-2(0) and Her-2(1+) patients have better 10-year DFS than Her-2(2+) FISH (-) patients. Her-2 (2+) FISH (-) is associated with worse 10-year DFS both in HR (+) patients and in the whole study population.
On algebraic systems
Authors: Sun Licong , Yue Yueli 
Published: August 2023

Abstract

The objective of this paper is to propose a generalization of algebraic closure space, namely algebraic system, and discuss its related properties. Firstly, we prove that the category of S0-algebraic systems is an epireflective subcategory of the category of algebraic systems. Then we show that the Sierpinski algebraic system (2; S) is a Sierpinski object in the category of algebraic systems and is concurrently an injective object in the category of S0-algebraic systems. Finally, we also demonstrate that the opposite category of continuous lattices is a reflective subcategory of the category of algebraic systems.
Three-Dimensional Finite Element Modeling of Double-Twisted Hexagonal Mesh
Authors: Li Liyun , Wu Haohan , Li Lei 
Published: August 2023

Abstract
The mesh structure based on double-twisted hexagonal grids is an important part of reinforced gabion structures. Due to challenges in sensor placement during physical experimentation on complex gabion mesh mechanical properties, numerical simulation serves as a valuable means of study, with accurate numerical grids being integral to obtaining reasonable results. This article proposes a novel approach for constructing a numerical model that incorporates unique geometric features. The approach categorizes mesh wire types into three groups based on their geometric structure and presents a relational equation governing the motion of a single wire axis during manufacturing. Secondly, A three-dimensional finite element model of a double-twisted hexagonal mesh was constructed using ABAQUS software to simulate a quasi-static uniaxial tensile experiment. Finally, the proposed approach was validated by comparing its numerical and experimental results, supporting its rationality. Additionally, it addresses the limited availability of three-dimensional numerical models for gabion meshes, thereby offering potential for further research on the mechanical properties of gabion structures under complex working conditions.
Drought can delay or speed-up riverine flooding
Authors: Matanó Alessia , Berghuijs Wouter R. , Mazzoleni Maurizio , de Ruiter Marleen , Ward Philip , Loon Anne Van 
Published: August 2023

Abstract
Flooding during or after droughts poses significant challenges to disaster risk management. However, interactions between droughts and floods are often overlooked by studying these events individually, with potential under- or overestimation of flood risk. Here we analyse global datasets of hydrometeorological and biophysical variables for 8255 catchments worldwide, showing that more than 20% of floods globally are preceded by, or happen during, drought conditions. In most cases, these compound or consecutive events do not strongly affect flood timing. However, almost a quarter of drought-flood events exhibits a substantially altered flood timing, with a majority (80%) occurring later than expected. These shifts in flood timing suggest potential effects of drought processes on flood generation processes. As both drought and flood occurrences are projected to increase in a warming climate, interactions between them need to be accounted for in flood risk assessment and management.
Influence of zinc levels on clinical and inflammatory factors, and renal prognosis in patients with diabetic nephropathy
Authors: Li Bing , Zhu Xin , Luo Yu , Wei Ping , Li Cui , Luo Ping , Du Bing 
Published: August 2023

Abstract
Background/Objectives:
Our study aimed to investigate the correlation of plasma zinc (Zn)with tumor necrosis factor-α (TNF-α), non-classical nuclear factor-κB (NF-κB), and nuclear factor erythroid 2-related factor 2 (Nrf2) in patients with diabetic nephropathy (DN༉and explored the potential impact of Zn levels on clinical, inflammatory responses and renal prognosis in DN patients.
Subjects/Methods:
We selected 45 patients who were definitively diagnosed with DN by renal biopsy in our hospital from 2019 to 2021, and recruited 25 healthy individuals from the physical examination center as controls. The correlation between Zn and serum Nrf2, TNF-α, and NF-κB levels were assessed using Spearman's rank correlation coefficient. In addition, patients were further divided into low- and high-Zn groups to observe the differences in clinical indicators, identify the expression of inflammatory-related factors in renal tissue. The Kaplan–Meier method was used to draw survival curves to predict the impact of related indicators on renal prognosis.
Results
We found that blood Zn and Nrf2 levels in patients with DN were significantly lower, while TNF-α, and NF-κB levels were significantly higher than those in patients without DN. Zn correlated positively with Nrf2 levels and negatively with TNF-α and NF-κB levels. In addition, patients with high Zn levels had higher expression of Nrf2, and lower expression levels of TNF-α and NF-κB in renal tissue, and had better prognosis compared with patients with low Zn levels.
Conclusions
We demonstrated that Zn had a protective effect on DN, and it may affect the inflammatory response.
Metabolic syndrome in rural area in the northern regions of the Republic of the Congo
Authors: Mbolla Bertrand Ellenga , Monabeka Marie Gaby , Landa Christian Michel Kouala , Bakekolo Rog Paterne , Bassakouahou Jospin Karel Makani , Ngamami Solange Flore Mongo , Monabeka Henri Germain 
Published: August 2023

Abstract
Introduction: prevalence of cardiovascular risk factors is increasing in low-income countries. The association of cardiometabolic risk factors including dyslipidaemia, hypertension, hyperglycaemia and central obesity define metabolic syndrome (MS). The objective of this study was to determine the prevalence of MS among rural population in Republic of the Congo. Methods: a cross-sectional study was conducted from 1st May to 15th June 2019 (45 days), in six rural towns and villages, located in two Department of northern Congo. Screening made possible the collect of socio-demographic, clinical and biological data. Portable devices helped to carry out blood tests. The definitions of MS were those of NCEP-ATPIII, IDF 2006 and IDF central Africa . Results:a total of 609 subjects/participants were involved/recruited, including 371 women (61%). The mean age of participants was 45 ± 15.3 years (range: 18 and 85). The risk factors were reported in Table 1. Identified anomalies according IDF central Africa were: high waist circumference (n = 327, 53.7%), systolic blood pressure ≥ 130 mm Hg (n = 255, 42%), diastolic blood pressure ≥ 85 mm Hg (n = 200, 32.8%), serum triglycerides ≥ 1.5 g/L (n = 96, 15.8%), low HDL cholesterol < 0.5 g/L (n = 226, 37.1%) and fasting blood glucose ≥ 1 g/L (n = 134, 22%). The prevalence of MS were: according to NCEP-ATPIII 27.1%, IDF 2006 32.7% and IDF Central Africa 31.2%. After adjusting MS was associated with age over 45 years, informal professional activities, treated hypertension, untreated hypertension, and untreated diabetes. Conclusion: the prevalence of MS is worrying in rural areas of Republic of Congo. Effective management of patients is needed in order to limit the occurrence of complications. Screening for MS extended to the entire territory of the country will make it possible to obtain more real data on this anomaly in Congo.
Research on Factors Affecting Online Learning Stickiness among College Students from the Perspective of NAM-TPB Integration
Authors: Li Xiaoyan , Tan Yaxin , Wei Yuanqing , Zhou Lei 
Published: August 2023

Abstract
With the rise of digitalization in the post-pandemic era, online learning among college students has become increasingly common. However, stu-dents' participation in online learning has been hindered by low efficiency and poor sustainability, which have negatively impacted their learning out-comes. This study examines the factors influencing the stickiness of online learning among college students from the perspectives of moral responsibil-ity, psychology, and society, using the integrated framework of the Norm Activation Model (NAM) and the Theory of Planned Behavior (TPB). A sur-vey questionnaire with 25 measurement items was constructed based on the NAM and TPB integrated model as the theoretical framework to collect data on students' online learning, and a structural equation model was built to explore the factors influencing the stickiness of online learning among col-lege students in Henan province. The results show that: (1) personal norms have a significant direct positive effect on the stickiness of online learning, as revealed by the hypothesized path analysis; (2) subjective norms have a significant indirect effect on personal norms through responsibility attribu-tion, as revealed by the mediation analysis; and (3) responsibility attribution is the most important influencing factor, as revealed by the analysis of di-rect, indirect, and total effects. Based on the research findings, it is recom-mended to cultivate students' belief and moral responsibility in online learn-ing, and to guide them to actively take learning responsibility and prevent learning fatigue.
Next generation RNA sequencing analysis of nuclear grapevines to identify viruses and viroids
Authors: Morgan Seamus , Burger Johan T. , Pietersen Gerhard 
Published: August 2023

Abstract
The use of next generation sequencing technology has allowed for greater elucidation of viruses infecting grapevine, which number more than 85. Many of these viruses can result in disease symptoms and it is therefore vital to the industry that they be supplied with healthy plant material. This is done through grapevine certification schemes. In this study, 97 nuclear grapevine vines subjected to a virus elimination process and maintained in vector-free conditions, were subjected to total RNA sequencing using the Ion-Torrent platform to determine the presence of viruses and viroids. In total, five virus species, four viroid species, and a further putative viroid species were identified in these nuclear grapevines through NGS analysis and confirmed using RT-PCR and Sanger sequencing. Grapevine Rupestris stem pitting-associated virus was identified in six nuclear accessions, while grapevine fleck virus, grapevine Syrah virus, grapevine leafroll-associated virus 4, and grapevine Rupestris vein feathering virus were identified in one nuclear accession each. Viroids were identified in 73 of the 97 nuclear accessions, with hop stunt viroid present in 63 of the 97 samples followed by grapevine yellow speckle viroid 1, present in 52 of the 97 samples, grapevine yellow speckle viroid 2, present in 17 of the 97 samples, Australian grapevine viroid present in three of the 97 samples and grapevine hammerhead viroid-like RNA was identified in two of the 97 samples. These findings suggest that some viruses, especially GRSPaV, and viroids are recalcitrant to currently employed virus elimination techniques, and how advantageous the use of NGS is to grapevine certification schemes.
Double Lung Transplantation Is Better Than Single Lung Transplantation for End- stage Chronic Obstructive Pulmonary Disease: A Meta-analysis
Authors: Fang Yu-Chi , Cheng Wen-Hsin , Lu Hung-I , Wang Yi-Shi , Chuang Kai-Hao , Lai Hsing-Hua , Chen Yu , Chen Li-Chun , Tsai Meng-Yun , Chang Yu-Ping , Huang Kuo-Tung , Lo Chien-Ming 
Published: August 2023

Abstract
Background
Lung transplantation is one of the most common treatment options for patients with end-stage chronic obstructive pulmonary disease (COPD). However, the debate of whether single or double lung transplantation should be performed for these patients persists. We, therefore, performed a systematic search for studies on single lung transplantation, double lung transplantation, and COPD in the search engine of the medical database.
Methods
The rate ratio and hazard ratio of survival were analyzed. The meta-analysis included 15 case control and retrospective registry studies.
Results
The analysis showed a lower rate ratio in single lung transplantation in the 3-year (0.937 and P = 0.041) and 5-year (0.775 and P = 0.000) survival than in double lung transplantation. However, the hazard ratio did not show a significant difference between the two methods.
Conclusions
Double lung transplantation was found to benefit better than single lung transplantation in terms of long-term survival in patients with COPD.
The Effect of STAS Positivity in Lung Cancer
Authors: INAN MERVE ŞENGÜL , İNAN Kubilay , CELIK İlknur Aytekin , KARAOGLANOGLU Nurettin 
Published: August 2023

Abstract
Aim of study:
The spread through air spaces (STAS) phenomenon, which describes the presence of tumor cells in the air spaces of lung cancer, has been associated with an increased risk of local recurrence. We performed retrospective analyses to examine the presence of STAS and to evaluate its clinical results and its relationship with clinicopathological parameters.
Materials and Methods:
A total of 149 surgically resected lung cancer cases were analyzed retrospectively. Detailed analyses were performed on demographic- radiological-clinical-histological features.
Results:
The mean age of the patients was 63 (IQR = 11; range, 22–81), among whom 31 were female and 118 were male. The incidence of STAS was not different between the histological groups (p = 0.427). There was no difference between SUVmax value in STAS-positive and negative patients (p = 0.970). The recurrence rate, survival, and median tumor size were not different from each other in the STAS-positive and STAS-negative groups (p = 1,000, p = 0.086, p = 0.292, respectively).
Conclusion:
STAS is an independent risk factor for poor prognosis. Therefore, it may be possible to provide more personalized information by using clinicopathological markers that will facilitate preoperative prediction of STAS presence.
Impact of ROIs Delineation Strategies on the Performance of Artificial Intelligence-Aided COVID-19 Screening Algorithms
Authors: Zhu Wenchao , Huang Dingpin , Lou Kaihua , Xu Fangyi , Chen Chao , Wang Dawei , Tan Weixiong , Chen Weidao , Chen Qingqing , Zhou Yong , Liu Yongjiu , Wang Bing , Zhang Xiaoguo , Zhang Zhongfa , Zhang Jianjun , Sun Mingxia , Zhang Guohua , Dai Guojiao , Hu Hongjie 
Published: August 2023

Abstract
Purpose
To compare the effects of different annotation strategies on the performance of Radiomics models in identifying COVID-19.
Methods
A total of 775 CT scans were retrospectively collected from 5 hospitals in China between Jan 19 and Mar 26, 2020, including 310 COVID-19 scans and 465 other community-acquired pneumonia (CAP) scans. Coarse annotation which labels the major lesions on certain CT slides and fine annotation which delineates the contour of lesions on each slide was performed on CT images. Four feature selection methods and four machine learning algorithms were then applied in combinations to develop Radiomics models on different sizes of datasets, including small (56 CT scans) and large (56 + 489 CT scans). Model performance was evaluated by ROC curve, PR curve, and other diagnostic metrics on an external test set. Statistical analyses were performed with Chi-square tests and DeLong Test; P < 0.05 was considered statistically significant.
Results
Differences between coarse and fine annotated data were quantitatively analyzed by a Dice index of 0.689, an average Hausdorff distance of 3.7%, and an average volume difference of 5.8%. Inaccurate segmentations were observed in coarse annotated images, including relatively smaller ROI and missed delineation of ground-glass opacity. In addition, more abundant features were extracted from fine annotated images in categories of FirstOrder, GLSZM, and GLCM features. With regard to model performance, fine annotation enabled an over better performance of Radiomics models while enlarged dataset size could remedy the influence of coarse annotation. Meanwhile, models trained on large datasets displayed more stable performance on all selection methods and algorithm combinations. Among them, L1-LR-MLP was selected as the optimal combination for modeling. In particular, SDFine, SDRough, LDFine, and LDRough datasets developed L1-LR-MLP models achieved the AUROC of 0.864,0.707, 0.904, and 0.899, and the AUPR of 0.888, 0.714, 0.934 and 0.896, respectively, on the external dataset.
Conclusions
Fine annotation generally enables a better model performance in the identification of COVID-19 while the efficient coarse annotation strategy could also be applied to achieve the equivalent diagnostic performance by expanding the training dataset, especially in urgent scenarios. L1-LR-MLP displayed great potential to be applied for establishing COVID-19 identification models.