bluuebunny/crossref_metadata_2025_split huggingface dataset:
Construction of DNA Fingerprinting with SSR Markers for Xinjiang Cotton Varieties
Authors: GUO Chunping , LIU Jinshan , LIN Zhongxu , WU Yuanlong , PAN Zhenyuan , LEI Jiejie , HOU Xinhe , ZHAO Suqin , YOU Chunyuan , Nie Xinhui 
Published: December 2023

Abstract
Background
Xinjiang is the largest cotton production base and cotton production reserve in China. However, due to repeated use of several breeding backbones parents, the genetic variation of Xinjiang cotton varieties decreased, and it was difficult to identify cotton varieties only based on field morphological characteristics. Therefore, rapid and accurate cotton variety identification and purity detection are of great significance to the protection of new varieties and identification of true and false seeds for the healthy development of cotton seed market in Xinjiang.
Results
In this study, the DNA fingerprints of 240 Xinjiang conventional cotton varieties approved in Xinjiang before 2018 were constructed using SSR (Simple sequence repeats) markers based on capillary electrophoresis. 73 pairs of core primers, which are highly polymorphic, stable and located on 26 cotton chromosomes (select two to three pairs on each chromosome), were screened out from 5152 pairs of SSR primers, and were used to construct the DNA fingerprints in 240 Xinjiang cotton materials. By using the 73 pairs core primers, 381 polymorphic sites were detected. The primer polymorphism information (PIC) ranged from 0.0916 to 0.8039, with an average value of 0.4956. Combined with the characteristic primers and primers of cotton varieties (52, 51, 47 and 47 pairs in Xinluzao, Xinluzhong, Xinhaimian and Xincaimian, respectively), the least primers to construct detailed molecular fingerprints of cotton varieties were selected.
Conclusion
The accurate molecular fingerprint database of 240 cotton varieties approved in Xinjiang up to 2018 was constructed in this study. Which provides an efficient and fast theoretical and technical system for the identification of the purity and authenticity of cotton varieties in Xinjiang, protects the rights and interests of breeders, and is of great significance for promoting the supervision of seed quality in the cotton seed market in Xinjiang.
Molecular Mechanism of colorectal cancer occurrence and Development based on the mechanism of butyrate metabolism related genes
Authors: Yu Miao , Chen Qian , Lu Yiping 
Published: December 2023

Abstract

Background Unlike normal colon cells with butyrate acid as the main energy source, cancerous colon cells are more inclined to use glucose. However, the mechanisms ofthe investigation into the modulatory role of butyrate metabolism within the pathophysiology of colorectal cancer (CRC) remains insufficiently explored. Methods In this study, an integrative analysis was conducted four datasets (TCGA-COAD, TCGA-READ, GSE41258, and GSE39582) and a gene set pertinent to butyrate metabolism genes (BMGs). Then, differentially expressed-BMGs (DE-BMGs) were selected by overlapping BMGs, TCGA-DEGs between the CRC and normal groups and GEO-DEGs between the CRC and normal groups, and DE-BMGs were analyzed for enrichment. Then hub genes were screened via protein-protein interaction (PPI) network analysis. Biomarker selection was refined through the application of the least absolute shrinkage and selection operator (LASSO) coupled with receiver operating characteristic (ROC) curve analytics. Subgroup survival analysis was stratified based on distinctive clinical phenotypes. This was followed by the construction of a regulatory network modeled on competing endogenous RNAs (ceRNAs). Conclusively, a rigorous validation process was undertaken to corroborate the expression patterns of the postulated biomarkers. Results 63 DE-BMGs was obtained. The enrichment analysis posited a pronounced correlation between DE-BMGs and both the signaling receptor activators activity and the pathways governed by peroxisome proliferator-activated receptors (PPAR). Subsequently, a total of 6 biomarkers (CCND1,CXCL8,MMP3,MYC,TIMP1, andVEGFA) were acquired by PPI analysis, LASSO regression and ROC curve validation. The survival analysis elucidated notable variances in survival metrics among distinct clinical cohorts. Ingenious pathway analysis (IPA) illuminated that the pathways associated with the identified biomarkers, particularly those implicated in the tumor microenvironment, were perturbed. A comprehensive ceRNA regulatory interaction network was then constructed. Lastly, a computational prediction model was developed for 156 pharmacological agents targeting five key biomarkers:CCND1,CXCL8,MMP3,MYC, andVEGFA. Validation experiments substantiated the upregulation ofCCND1,CXCL8,MYC, andVEGFAin CRC cell lines, an observation that is congruent with existing public database records. Conclusion Six butyrate metabolism-related biomarkers (CCND1,CXCL8,MMP3,MYC,TIMP1, andVEGFA) were screened out to provide a basis for exploring the prediction of diagnosis of CRC.
Multi-objective optimization of external rotor permanent magnet motor based on enhanced whale algorithm
Authors: Lv Pin , Ma Haotian , Su Xunwen , Xu Donghui , Liu Ziyang , Liu Lulu 
Published: December 2023

Abstract
In order to improve the output torque, suppress the torque ripple, and reduce the usage of permanent magnets when applying the external rotor permanent magnet synchronous motor (ERPMSM) as a belt conveyor drive motor, this paper proposed a multi-objective optimization method for ERPMSMs based on the enhanced multi-objective whale algorithm (E-MOWOA), parameter stratification and response surface methodology (RSM). Firstly, a finite element simulation model of the motor was established, and parameter stratification was carried out through Spearman correlation analysis to screen out the layer 1 and layer 2optimization parameters. Secondly, various improvement strategies were introduced for the traditional whale algorithm, and an E-MOWOA improvement strategy was proposed. The effectiveness of the algorithm improvement was verified through algorithm performance testing. Then the multi-objective optimization of parameters were carried out. For the layer 1 optimization parameters, the response surface method was adopted to establish a response surface model, provide regression equations, and use E-MOWOA for iterative optimization. For the layer 2 optimization parameters, parameterized scanning was used for optimization. Finally, a comparative analysis of the optimization effect was conducted through finite element simulation experiments and prototype experiments. The experimental results showed that after optimization, the average output torque of the motor was increased by 4.19%, the cogging torque was reduced by 22.92%, the torque ripple was reduced by 31.34%, the amplitude of the no-load back electromotive force fundamental wave was increased by 13.39%, and the cost of the permanent magnet was reduced by 7.83%, which verified the effectiveness and feasibility of the proposed method.
Integrating Petrophysical Characterization and Reservoir Evaluation of the Kafr ELSheikh Formation in Sapphire Field, Nile Delta, Egypt.
Authors: Nagar Ahmed Ahmed El , Abbas Ali Elsayed , Shehab Samir , Sobih Naiem Souilam 
Published: December 2023

Abstract
This study aims to comprehensively examine the petrophysical parameters of the Kafr Elsheikh formation, utilizing iso-parametric maps to analyze key reservoir characteristics, including effective porosity, shale content, net-pay thickness, permeability, hydrocarbon saturation, and water saturation across lateral sections. The primary focus is on four wells—Sapphire 1, Sapphire-Da, Sapphire-Deep 1, and Sapphire-Dh—subjected to a meticulous suite of well logs such as gamma ray, caliper, density, neutron, and resistivity, recorded in Las files. The objective is to evaluate the reservoir potential and developmental trajectory of the Sapphire Field. Findings from the well logging data underscore the exceptional reservoir potential of the Kafr Elsheikh formation, exhibiting effective porosity ranging from 14–34%, water saturation fluctuating between 15% and 45%, gas saturation spanning from 55–85%, and net pay thickness extending from 0.46 m to around 23.8 m. Lithological identification techniques confirm a composite composition of sandstone and shale within the formation. The developmental trajectory of the Sapphire Field indicates discernible increases in effective porosity and hydrocarbon saturation towards the central and northwest-southeast directions, respectively. Notably, Sapphire Da emerges as the most promising well, showcasing an 85% saturation, a 29% effective porosity, and a substantial net pay thickness of 14.04 m. This study highlights the considerable hydrocarbon reserves in the Kafr Elsheikh formation and advocates for additional exploratory and development wells to optimize productivity. The insights derived from iso-parametric maps serve as a valuable resource for future exploration and development endeavors within the Sapphire Field.
Association between Frailty and Senescence from National Health and Nutrition Examination Survey (NHANES): A Cross-Sectional Study
Authors: li lin , Xie Rui-Jie , Tian Xiao-Jing , Meng Mi , Ma Hu 
Published: December 2023

Abstract

Background Aging is an inevitable phenomenon of biological processes, and frailty, one of its key symptoms, usually reflects a decline in the body's functional and adaptive capacity. In this study, we aimed to investigate the association between frailty index (FI) and phenotypic age using quantitative measures. Herein, a cross-sectional study in a U.S. population reinforces current clinical knowledge that frailty promotes accelerated aging in phenotypic age. Methods In this cross-sectional study, data from the National Health and Nutrition Examination Survey (NHANES) were utilized, encompassing 11,918 participants aged 20 years and older. The analyses employed multiple logistic regression and restricted cubic splines (RCS). Additionally, subgroup analyses stratified by covariates were performed. Results This study included 11,918 adult participants with complete data. After adjusting for all confounding factors, a significant positive correlation was observed between FI and phenotypic age [2.04 (1.89, 2.18)], indicating that for every 0.1 increase in FI score, the phenotypic age increased by 2.04 years. Further subgroup analysis demonstrated that this association was significant only in some subgroups. Conclusion We observed a correlation between FI and the accelerated aging represented by phenotypic age. Our findings warrant further confirmation in future, more extensive prospective studies.
Evaluation of the High-Energy-Flood of mid-July 2021 as a Morphologic Driver in the Ahr Valley
Authors: Wolf Stefanie , Stark Nina , Holste Ina , Lehmkuhl Frank , Römer Wolfgang , Burghardt Lisa , Schüttrumpf Holger 
Published: December 2023

Abstract
Background:
This study explores morphologic changes in the Ahr River, Germany, caused by the high-energy flood in mid-July 2021. Infrastructure systems influence river morphology, but causal relationships are challenging to establish. The study aims to assess the flood's significance as a morphological driver using the Lateral Mobility Index (LMI), as well as the impact of infrastructure on morphodynamics in terms of formation of mud deposits and stagnant water pools, considering three focus areas of about 1 to 5 km river length.
Results:
The LMI is derived from orthophotos. For the 2021 high-energy event, an increased LMI suggests an increasing change in river course and morphology. Post-flood, the LMI in focus areas 1 (furthest upstream, LMI of 1.5) and 3 (at the Rhine confluence, LMI of 3.2) surpasses the historic LMI by a factor of about 3. Focus area 3 exhibits the highest activity and focus area 2 (LMI between 0.25 and 0.70) the lowest. The area of mud deposits and stagnant water pools increased immediately after the flood, especially in focus area 3. Over the following months, initial post-flood mud deposits washed away but also rebuilt to some degree later on.
Conclusions:
The LMI enabled to quantitatively identify a rare and significant morphological disruption in the Ahr River’s lateral development in three focus areas, and thus, serves as additional proof that the flood of mid-July 2021 was a high-energy event impacting local river geomorphology. Infrastructure impacted the formation of mud deposits and stagnant water zones during and after the flood, with additional influence from factors such as driftwood and valley width. The data suggested a phase of resuspension of sediments after the flood, likely due to cleanup and ad-hoc river management, highlighting the need for continued river monitoring.
Prognostic value of a mandibular canal staging system for primary lesions in patients with lower gingival squamous cell carcinoma: a multicenter, retrospective study
Authors: Yamakawa Nobuhiro , Okura Masaya , Hasegawa Takumi , Otsuru Mitsunobu , Sakai Hironori , Hirai Eiji , Rin Shin , Yamada Shin-ichi , Yanamoto Souichi , Yokota Yusuke , Umeda Masahiro , Kurita Hiroshi , Ueda Michihiro , Akashi Masaya , Kirita Tadaaki 
Published: December 2023

Abstract

Background
The Union for International Cancer Control and American Joint Committee on Cancer tumor staging system is used globally for treatment planning. As it may be insufficient for tumor staging of lower gingival carcinomas, we proposed the mandibular canal tumor staging system. In this study, we aimed to compare the two systems for such tumor staging and to identify prognostic markers.
Methods
This multicenter, retrospective study included patients with lower gingival squamous cell carcinoma who underwent radical surgery during 2001–2018. We compared survival rates (Kaplan–Meier estimator) and patient stratification according to the two systems.
Results
The proposed system yielded more balanced patient stratification than the existing system. Progression in the tumor grade according to the proposed system was associated with a poorer prognosis. The 5-year overall and disease-specific survival rates for the entire cohort were 74.9% and 81.8%, respectively. Independent factors affecting overall survival were tumor stage according to the proposed system, excision margins, and number of positive nodes, whereas those affecting disease-specific survival were excision margins and number of positive nodes.
Conclusions
Subsite-specific tumor classification should be used for patients with oral cancer, and our results suggest that mandibular canal tumor classification may be effective for patients with lower gingival carcinoma.
Prediction of the axial compression capacity of stub CFST columns using machine learning techniques
Authors: megahed khaled , Mahmoud Nabil , Abd-Rabou Saad 
Published: December 2023

Abstract
Concrete-filled steel tubular (CFST) columns have extensive applications in structural engineering due to their exceptional load-bearing capability and ductility. However, existing design code standards often yield different design capacities for the same column properties, introducing uncertainty for engineering designers. Moreover, conventional regression analysis fails to accurately predict the intricate relationship between column properties and compressive strength. To address these issues, this study proposes the use of two machine learning (ML) models – Gaussian process regression (GPR) and symbolic regression (SR). These models accept a variety of input variables, encompassing geometric and material properties of stub CFST columns, to estimate their strength. An experimental database of 1041 datasets was compiled from various research papers, including circular, rectangular, and double-skin stub CFST columns. In addition, a dimensionless output variable, referred to as the strength index, is introduced to enhance model performance. Through performance metrics, the GPR model emerges as the most accurate and reliable from the evaluation results. In addition, simple and practical design equations for the different types of CFST columns have been proposed based on the SR model. To validate the efficiency of the introduced models, predictions from these models are compared with those from two established standard codes and various ML studies. The developed ML models and proposed equations can predict the compressive strength of stub CFST columns with reliable and accurate results, making them valuable tools for structural engineering. Furthermore, the Shapley additive interpretation (SHAP) technique is employed for feature analysis. The results of the feature analysis reveal that column slenderness ratio and concrete strength parameters negatively impact the compressive strength index.
The high-efficiency integration medical humanities and practice: the teaching reform in abdominocentesis
Authors: Jiang Jie , Zeng Jiahui , Gu Jingtao , Wang Zheng , Han Liang 
Published: December 2023

Abstract
Background
This study evaluates a teaching reform of the high-efficiency integration of medical humanities and medical practice through an abdominocentesis operation.
Methods
The study population included 80 students, randomly divided into two groups. The operation of control group followed the syllabus and operational guidance; and the operation of intervention group followed the information of additional humanities and potential discomfort based on the same guidance. They were asked to select the fixation position of drainage on the skin of abdomen for the patients experienced an abdominocentesis operation.
Results
The basic and specialty medical courses showed no statistically significant differences in control and intervention group (p>0.05). A total of 80 students, 18/40 (45%) students in control group and 6/40 (15%) students in intervention group selected the fixed positions in area A. 22/40 (55%) students in control group and 34/40 (85%) students in intervention group selected in area B. The data revealed significant differences between two groups (p<0.05). Next, all the students informed detailed discomfort caused by the drainage tube, including skin pulling pain or friction pain. Interestingly, no one chose area A, and 34/40 (85%) students in control group and 35/40 (87.5%) students in intervention group selected the fixed positions in area B1. 6/40 (15%) students in control group and 5/40 (12.5%) students in intervention group selected in area B2. The data showed no differences between two groups (p>0.05).
Conclusion
Our teaching attempt realized the high-efficiency integration of medical humanities and medical practice in abdominocentesis.
Bidirectional Rapid Reductor in Minimally Invasive Treatment of Proximal Humeral Fractures: A Case Series
Authors: Wu Penghuan , Yang Na , Yang Sifan , Wang Yu , Zheng Zhanle , Zhang Yingze 
Published: December 2023

Abstract
Purpose
The minimally invasive treatment of proximal humeral fractures (PHFs) represents one of the most challenging problems in orthopedic surgery. This study aims to describe a percutaneous surgery approach involving an originally designed traction device to enhance the closed reduction for PHFs. Furthermore, the clinical outcomes of this minimally invasive technique are assessed.
Methods
This prospective study was conducted between October 2019 and September 2020 at the Third Hospital of Hebei Medical University, involving patients diagnosed with proximal humeral fracture. The primary outcomes assessed at the one-year follow-up included: (1) the neck-shaft angle and (2) the Constant-Murley scores.
Results
A total of 12 patients were included in this study, comprising 3 males and 9 females, with an average age of 67.58 ± 10.76 years. All patients had their fractures healed without secondary displacement at the one-year follow-up. There were no instrument-related complications during operation. Postoperatively, superficial infection was found in one patient and donor-site morbidity was found in another patient. Upon final evaluation, the observed neck-shaft angle was with an average of 136.66 ± 7.83° (range from 124.8 to 149.8); all patients’ neck-shaft angle were normal. The Constant-Murley score was categorized as excellent in 7 patients (58.3%) and good in 5 patients (41.7%).
Conclusion
The bidirectional rapid reductor device shows promising effects in enhancing the efficacy of minimally invasive treatment of PHFs.
The 90% minimum effective volume of 0.5 ropivacaine for Ultrasound-guided femoral nerve block: A biased coin up-and-down design.
Authors: Xuan Qinghang , Pan Ruoying , Xu Shaqi , Zhang Ting , Zhang Mengqi , Yin Guangfen , Peng Jing 
Published: December 2023

Abstract
Background:The ultrasound-guided femoral nerve block is commonly employed in lower limb surgeries; however, there is presently a paucity of precise research regarding the optimal dosage of local anesthetic agents. This study aims to determine the 90% minimum effective volume (MEV90) for ultrasound-guided femoral nerve block.
Methods: All patients received an ultrasound-guided femoral nerve block with 0.5% ropivacaine at an initial volume of 0.12 mL/mm2 of cross-sectional nerve area. In cases of a successful block, the next patient received the same volume with a probability of 0.89, and the volume was decreased by 0.04 mL/mm2 of cross-sectional nerve area with a probability of 0.11. In the event of block failure, the volume was increased by 0.02 mL/mm2 cross-sectional nerve area. Following 45 successful block cases, the MEV90 of local anesthetic was determined using the centered isotonic regression method.
Results: Centred isotonic regression analysis revealed that the MEV90 for the femoral nerve block is 0.182 mL/mm2, with a 95% confidence interval ranging from 0.160 to 0.278 mL/mm2.
Conclusions:The application of 0.182 mL/mm2 of 0.5% ropivacaine allows for precise dosing, resulting in a femoral nerve block effect and concurrently reducing the potential for local anesthetic poisoning.
Trial registration：We registered the study prospectively at chinese Clinical Trial Registry(https://www.chictr.org.cn)(Ref. No. ChiCTR2300077426，Date of Registration:2023-11-08 )