bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of Postural Sway in Individuals with and without Dynamic Knee Valgus
Authors: Karimi Kimia , Seidi Foad , Mousavi Seyed Hamed , Alghosi Mohammad , Morad Nafiseh Homaie 
Published: April 2023

Abstract
Background: Dynamic knee valgus (DKV) is a multi-planar faulty movement pattern that can cause faulty postural control. This study aimed to compare individuals with and without DKV aged 18–30 years old in terms of postural sway (PS).
Methods: Based on the inclusion and exclusion criteria, 62 individuals with (33) and without (29) DKV were selected and assigned to two groups by conducting the single-leg squat test in the screening stage. The Biodex balance system was then employed to compare the two groups in PS. Mann–Whitney U test was conducted to compare the groups in PS. The statistical significance was set at an alpha of p ≤ 0.05.
Results: The result showed that there were no significant differences between individuals with and without DKV in terms of the anterior-posterior, medial-lateral, and overall stability indices (p > 0.05).
Conclusion: Apparently, there are no significant differences between individuals with and without DKV in PS due to several possible factors including differences in the measurement tools for postural control, the sensitivity of variables in the postural stability test, and the movement variability and postural stability test (single-leg stance versus double-leg stance). Therefore, it is suggested that future studies should analyze PS in more functional tasks by changing the methodological patterns.
Identification of A Novel Cuproptosis-related lncRNAs for the Prognostic and Immune Landscape in Wilms Tumor
Authors: Li Yadong , Xie Siqi , Wang Song , Li Yi , Zhang Bing , Cheng Feng , Fang Yifan 
Published: April 2023

Abstract
Background In contrast to all other known kinds of regulated cell death, cuproptosis is a unique copper-dependent cell death pathway that has a close connection to mitochondria and metabolism. The pathogenesis of Wilms tumor (WT), a common pediatric abdominal tumor, has yet to be fully defined. Besides, previous studies on lncRNAs related to Cuproptosis in WT and the connection between Wilms tumor, the microenvironment, and cuproptosis are still scarce.Results Our results show that Individuals with WT and high-risk group identified utilizing the signature were related to poorer survival outcomes. The study revealed that high-risk group had a worse prognosis (P < 0.001) in contrast with the group of low-risk. The risk score AUC for this signature was 0.818, which was higher than the risk score for age (0.524), sex (0.580), race (0.489), stage (0.673) and the modeling of ferroptosis-related lncRNAs (0.775). Individuals in the group of low-risk had an elevated TIDE scores ratio and were more sensitive to 13 drugs, including BI-2536, EX-527, IspinesibMesylate, KIN001-135, etc.Conclusions Our model can precisely predict the WT patients' prognosis and differentiate between low- and high-risk WT patients. It is hoped that this study will give a novel method for clinical prognosis and appropriate WT patients therapy.
Discovery of extracellular vesicle-delivered miR-185-5p in the plasma of patients as an indicator for advanced adenoma and colorectal cancer
Authors: Shi Yunjie , Fang Yunxiang , Tian Tongguan , Chen Weiping , Sun Qiang , Guo Fangqi , Gong Piqing , Li Chunmei , Wang Hao , Hu Zhiqian , Li Xinxing 
Published: April 2023

Abstract
Background: We aimed to evaluate whether extracellular vesicles (EV)-derived microRNAs (miRNAs) can be used as biomarkers for advanced adenoma (AA) and colorectal cancer (CRC).
Methods: We detected the changes in the plasma EV-delivered miRNA profiles in healthy donor (HD), AA patient, and I-II stage CRC patient groups using RNA deep sequencing assay. We performed the TaqMan miRNA assay using 173 plasma samples (two independent cohorts) from HDs, AA patients, and CRC patients to identify the candidate miRNA(s). The accuracy of candidate miRNA(s) in diagnosing AA and CRC was determined using the area under the receiver-operating characteristic curve (AUC) values. Logistic regression analysis was performed to evaluate the association of candidate miRNA(s) as an independent factor for the diagnosis of AA and CRC. The role of candidate miRNA(s) in the malignant progression of CRC was explored using functional assays.
Results: We screened and identified four prospective EV-delivered miRNAs, including miR-185-5p, which were significantly upregulated or downregulated in AA vs. HD and CRC vs. AA groups. In two independent cohorts, miR-185-5p was the best potential biomarker with the AUCs of 0.737 (Cohort I) and 0.720 (Cohort II) for AA vs. HD diagnosis, 0.887 (Cohort I) and 0.803 (Cohort II) for CRC vs. HD diagnosis, and 0.700 (Cohort I) and 0.631 (Cohort II) for CRC vs. AA diagnosis. Finally, we demonstrated that the upregulated expression of miR-185-5p promoted the malignant progression of CRC.
Conclusion: EV-delivered miR-185-5p in the plasma of patients is a promising diagnostic biomarker for colorectal AA and CRC.
Trial registration: The study protocol was approved by the Ethics Committee of Changzheng Hospital, Naval Medical University, China (Ethics No. 2022SL005, Registration No. of China Clinical Trial Registration Center: ChiCTR220061592).
Hematopoietic stem cell transplantation Experience : A Retrospective analysis from largest center of India’s largest state
Authors: Jasuja Sandeep kumar , kumar Mukesh , Mittal Aditi , Goyal Krutika , Krishan Ram , Mittal Lalchand , Hooda Linu 
Published: April 2023

Abstract
Objective: The present study aimed to describe the clinical characteristics and outcomes of patients with malignant and non-malignant disorders who underwent hematopoietic stem cell transplantation at largest public Hospital of Rajasthan, India.
Methods: This was a retrospective study conducted at the Department of Medical oncology & Stem cell transplant, SMS hospital, Jaipur, India. The study included patients of either sex who had underwent any type of Hematopoietic stem cell transplantation during 2009 to June 2021. Data collected for retrospective observational analysis included demographic and clinical details including age, sex, clinical diagnosis, type of transplant, time of transplant, treatment regimen, status at transplant, acute/chronic GVHD, date of discharge/last follow-up/death, clinical outcome, and cause of death.
Results: Total of 100 patients which underwent HSCT from initiation of transplant in 2009 at our Center to June 2021 were included (mean age: 29.9 years). Out of 100 patients, 49% of patients underwent autologous transplantation, while 51% underwent allogeneic transplantation during this period. Out of 51% of patients which underwent allogeneic transplant, 17.6% were haploidentical stem cell transplant. The most common malignancies for which patients underwent HSCT at our center was multiple myeloma (29.0%), followed by aplastic anemia (24.0%), and Hodgkin’s lymphoma (12.0%). Other diseases for which patients underwent HSCT at our center are Non-Hodgkin lymphoma, amyloidosis, multiple sclerosis, Thalassemia, germ cell tumor, chronic myeloid leukemia, Acute Myeloid leukemia, Myelodysplastic syndrome, Neuroblastoma, dyskeratosis congenita ,primary CNS lymphoma and congenital dyserythropoietic anemia type 2.Majority of patients which underwent stem cell transplant were in complete remission (82%) at the time of transplant. Acute graft versus host disease (GvHD) was observed in 80% of patients while 11.8% of patients reported chronic GvHD in allogeneic Hematopoietic stem cell transplant. Total of 84 patients survived while 16 patients died post-transplant. Majority of patients died due to infection (60.0%) and GvHD (20.0%). The overall mean survival time was 1540 days at the time of data analysis. The mean survival time in patients with allogenic transplants was significantly higher than those with autologous transplant (1907.2 vs. 452.3 days; p=0.042).
Conclusion: With overall higher survival rate and overall mean survival of more than four years, HSCT in Indian settings may be considered as a promising treatment for patients with benign or malignant diseases.
Title: Prevalence，Distribution Characteristic and Risk Factors of Lumbar Vertebral Axial rotation in Patients with Lumbar Disc Herniation：A Retrospective Study
Authors: Zhao Shixian , Yao Zhou , Wang Qiushi , Huang Peipei , Tu Zhipeng , Xie Fang , Ye Bin , Ma Yachao , Wang Zhe , Luo Zhuojing , Hu Xueyu 
Published: April 2023

Abstract
Disc herniation have shown confirmed biomechanical influence on close neighboring vertebrae but the impact on distant neighboring vertebrae remains unknown. After matching age and gender at a single site, we retrospectively evaluated 516 patients with lumbar disc herniation(LDH group)and an equal number of healthy people༈Control group༉to determine the effect of disc herniation on vertebral axial rotation (VAR) in lumbar spine, and explore potential risk factors for VAR in patients with (LDH). Each lumbar spine vertebra's degree of axial rotation was evaluated using the Nash-Moe index. The prevalence of VAR of lumbar spine is greater in LDH group than in Control group (65.7% vs 46.7%, P༜0.001). L2 vertebra in LDH group had the highest frequency of VAR (49.5%), followed by L1(45.1%), and from L3 to L5༈33.6%,8.9%,3.1%༉. The Control group also displayed a similar pattern (L2,39.8%; L1,34.6%; L3,23.2%; L4,3.1%; L5,0.8%). Disc herniation was associated with a higher incidence of VAR in both close and distant neighboring vertebrae. Multivariate analysis showed that age is an independent risk factor for VAR, (OR = 1.245, 95% CI [1.111,1.394], P༜0.001), while symptoms duration and back pain not.
Toxicity assessment of wastewater from the industrial parks along Yangtze River, China, using a battery of bioassays
Authors: Cui Haiyan , Yang Bin , Gao Jie , Yang Weishu , Klobučar Göran , Li Mei 
Published: April 2023

Abstract
Bioassays, as an addition to physico-chemical water quality evaluation, can provide information on toxic effects of pollutants present in the water. In this study, a broad evaluation of environmental health risks from industrial wastewater along the Yangtze River, China, was conducted using a battery of bioassays. A total of 10 polycyclic aromatic hydrocarbons (PAHs), which were identified as potential major toxic chemicals of concern were measured in the samples of W, J, and T wastewater treatment plants. Toxicity tests showed that the wastewater treatment processes were effective at lowering acetylcholinesterase (AChE) inhibition, HepG2 cells cytotoxicity, estrogenic effect in T47D-Kbluc cells, DNA damage of Euglena gracilis and mutagenicity of Salmonella typhimurium in analyzed wastewater samples. However, the potential harm to the aquatic organisms has remained. Based on the health risk assessment model, the PAHs risk index of wastewater from the industrial parks along the Yangtze River was below 1, indicating that the PAHs in wastewater were less harmful to human health through skin contact or respiratory exposure. Overall, biological toxicity tests used in this study provide good basis for the health risk assessment of industrial wastewater and a scientific reference for the optimization and operation of the treatment process.
Pan-Cancer Analysis of the Role of the Ferroptosis-Related Biomarker GPX4: A Potential Target for Prognosis and Immunotherapy
Authors: Li Xiao , Zhu Min , Dong Ruihua , Li Peng 
Published: April 2023

Abstract
Background Glutathione peroxidase 4 (GPX4) is a key player in ferroptosis. The aim of the study is to explore the underlying mechanisms and biological functions of GPX4 to provide therapeutic guidance for the treatment of cancer.Methods The Cancer Genome Atlas (TCGA), Genotype-Tissue Expression database (GTEx), GEPIA2, cBioPortal databases, and Human Protein Atlas (HPA) were explored to analyze the expression, mutation, and prognosis of GPX4 in human tumors. TIMER2.0 and TIDE were used for immune evaluations. GPX4 expression profile at single-cell level was evaluated through CancerSEA.Results GPX4 was aberrantly expressed in most cancer types. Higher GPX4 was correlated with worse overall survival (OS) in colon adenocarcinoma (COAD), acute myeloid leukemia (LAML) and uveal melanoma (UVM), but with better OS in breast invasive carcinoma (BRCA), thyroid carcinoma (THCA), and uterine corpus endometrial carcinoma (UCEC). Moreover, GPX4's genetic alteration and methylation levels were varied and correlated with prognosis in some cancer types. According to the results of single-cell sequencing, GPX4 expression significantly correlated to DNA damage/repair, angiogenesis, metastasis, and inflammation. Additionally, GPX4 was also strongly linked to immune infiltration (such as macrophage, cancer-associated fibroblasts, and neutrophil) and immune checkpoint expression in the tumor microenvironment (TME).Conclusions GPX4 plays an important role in the occurrence, development, and prognosis of human malignant tumors. Our comprehensive pan-cancer analyses have conveyed that GPX4 could potentially serve as a cancer treatment target and biomarker.
Development of a biochemical recurrence prediction model based on pyroptosis related genes in prostate cancer
Authors: Cheng Wen , Xiao Xian , Wang Chaoran , Sun Binxu , Kong Fanming , Jia Yingjie 
Published: April 2023

Abstract
Background: Pyroptosis plays important roles in the development and progression of cancer. However, the role of pyroptosis-related genes (PRGs) in biochemical recurrence (BCR) of prostate cancer (PCa) remain unclear.Methods: Expression data and clinical information of PCa patients used in the current study were downloaded from the Cancer Genome Atlas (TCGA) and the Gene Expression Omnibus (GEO) database. Differentially expressed PRGs (DEPRGs) were identified between PCa and control samples and between BCR and BCR-free samples. Univariate and LASSO Cox regressions were performed to identify BCR-related DEPRGs in PCa, followed by the construction of the risk score model. Receiver operating characteristic (ROC) curves were plotted to assess the performance of the risk score model. Univariate and multivariate Cox regressions were carried out to determine independent BCR factors and to establish the nomogram in predicting BCR of PCa patients. The microenvironment of low- and high-risk groups were evaluated by GSVA and ssGSEA.Results: By overlapping 29 DEPRGs between PCa and control samples and 10 DEPRGs between BCR and BCR-free samples, TP63, CHMP4C, CHMP7, GSDMB, CASP8, PLCG1 and TP53 were obtained. By univariate and LASSO Cox regressions, CHMP4C, GSDMB, PLCG1 and TP53 were identified as BCR biomarkers in PCa. ROC curves revealed the good performance of the risk score model based on BCR biomarkers in both TCGA and GEO cohorts. Univariate and multivariate Cox regressions showed that the risk score was an independent BCR factor in PCa. A nomogram with good performance to predict the BCR of PCa patients were established based on risk score and other independent prognostic factors. After GSVA and ssGSEA, we observed that the immune and metabolic microenvironment of two groups were much different.Conclusion: Our study revealed the role of PRGs in the BCR of PCa, and constructed reliable models in predicting the BCR of PCa patients.
Prevalence of acquired and transmitted HIV drug resistance in Iran: A systematic review and Metaanalysis
Authors: Mirzaei Hossein , Eybpoosh Sana , Mehrabi Fatemeh , Shojaei Mohammad Reza , Mirzazadeh Ali , Khezri Mehrdad , Nasiri Naser , Sharifi Hamid 
Published: April 2023

Abstract
Background There are no national-level surveys about HIV drug resistance (HIVDR) in Iran. Therefore, this investigation aimed to estimate the prevalence of HIVDR among antiretroviral therapy (ART) naïve people (those without a history of ART) and people receiving ART.Method We systematically searched Scopus, PubMed, Web of Science, Embase, Iranian database, the references of studies, and google scholar till March, 2023. A random-effect model was implemented to calculate point estimate and 95% confidence interval (95% CI) for the prevalence of HIVDR in people living with HIV (PLHIV).Results Among 461 potential publications, 22 studies were included in the meta-analysis. The pooled prevalence of acquired HIVDR in people receiving ART was 34.0% (95% CI: 19.0%-50.0%) for nucleoside/nucleotide reverse transcriptase inhibitors (NRTIs), 27.0% (95% CI: 15.0% -41.0%) for non-nucleoside reverse transcriptase inhibitors (NNRTIs), and 9.0% (95% CI: 3.0% -18.0%) for protease inhibitors (PIs). The pooled prevalence of Acquired HIVDR in treatment failure PLHIV was 50.0% (95% CI: 31.0% − 69.0%) for NRTI, 49.0% (95% CI: 29.0%-69.0%) for NNRTI, 11.0% (95% CI: 2.0% − 24.0%) for PI, and 1.0% (95% CI: 0–4.0%) for integrase inhibitors (INIs). The pooled prevalence of transmitted HIVDR in treatment naïve people was 3.0% (95% CI; 1.0%-6.0%) for NRTI, 5.0% (95% CI: 2.0%-9.0%) for NNRTI, and 0 for PIs and INIs.Conclusion The prevalence of HIVDR in Iranian treatment naïve and people receiving ART was relatively high. Without universal pretreatment HIVDR testing and more frequent routine viral load testing among PLHIV who are on ART, these numbers may go up.
Remediation of heavy metal contaminated soil and urban environmental monitoring based on remote sensing images
Authors: Ma Wanzheng 
Published: April 2023

Abstract
In order to improve people's quality of life, it is necessary to establish a complete environmental monitoring system outdoors. In the organizational structure of the environmental monitoring system, monitoring nodes are placed according to actual monitoring requirements to meet the needs of environmental monitoring and data information collection in the area. It mainly analyzes ZigBee technology and 4G technology in detail. In order to overcome the short-distance transmission shortcomings of ZigBee technology, the system combines short-distance ZigBee technology and long-distance 4G technology to achieve short-distance data collection and long-distance transmission. This paper selects the tin mining area as a representative research field, and processes the images through professional remote sensing image processing software to extract land and plant pollution caused by tailings and mining areas. Then, enter the sample point to be tested to select typical main vegetation mining areas, complete the reflectance spectrum detection on the spot, and then conduct a comprehensive analysis of the spectral characteristics of some test data, and then check the plant reflectance and pollution status based on image processing Through studying the polluted materials extracted by spectroscopy, the tailings ecological restoration plan was finally developed.
Reg family proteins contribute to inflammation and pancreatic stellate cells activation in chronic pancreatitis
Authors: Chen Wenting , Imasaka Mai , Lee Miyu , Fukui Hirokazu , Nishiura Hiroshi , Ohmuraya Masaki 
Published: April 2023

Abstract
Backgrounds: Chronic pancreatitis (CP) is a disease characterized by the inflammation and destruction of pancreatic tissue, leading to the replacement of functional tissue with fibrotic tissue. The regenerating gene (Reg) family proteins have recently been implicated in the repair and regeneration of inflamed pancreatic tissue, though the exact mechanisms of their involvement in the pathogenesis of CP are not yet fully understood. Methods: To investigate the role of Reg family proteins in CP, we generated global knockout mice (Reg−/−) for Reg1-3 (Reg1,2,3a,3b,3d,3g) genes using the CRISPR/Cas9 system. We then investigated the effect of Reg family protein deficiency in a genetic model of CP (X-SPINK1) mice by knocking out Reg1-3 genes. We examined pancreatic morphology, inflammatory cytokines expression, and activation of pancreatic stellate cells (PSCs) at different ages. Results: Reg−/− mice showed no abnormalities in general growth and pancreas development. Deficiency of Reg1-3 in CP mice led to a reduction in pancreatic parenchymal loss, decreased deposition of collagen, and reduced expression of proinflammatory cytokines. Additionally, Reg proteins were found to stimulate PSCs activation. Conclusions: Reg1-3 deficiency can lead to the remission of CP and that Reg family proteins could be a potential therapeutic target for the treatment of CP.
Innovation path of Secretarial Education in Higher Vocational Schools Based on Internet environment and Machine Learning
Authors: Wu Yajuan 
Published: April 2023

Abstract
In recent years, due to the serious deviation between supply and demand in the training process of secretarial talents, the enrollment of this major has gradually cooled down. Some vocational schools have even stopped offering secretarial specialties, while the demand for secretarial talents has not decreased. Under the influence of the wave of economic globalization, China's economy has developed in depth and achieved considerable transformation, small and medium-sized enterprises are gradually affected by this, thus enabling secretarial professionals to show their strength. In this environment, the demand for secretarial talents is becoming more and more urgent. Therefore, in the context of the Internet, this paper has established a teaching management system of based on machine learning technology, which is composed of interface layer file access interface, message interface, add task acquisition interface, debugging interface, etc. Its core business layer includes state server, routing server, push message server, instant messaging service of middleware layer, etc., and there are interactions between them. Later, design experiments to compare the core algorithms of the system, and find that the solution of Bayesian optimization is very close to the optimal parameter set, which can save a lot of time while ensuring speed and high accuracy. Based on this algorithm, the paper puts forward a new idea to realize the design of secretarial education system in vocational and technical education and improves the low efficiency of secretarial education. In this paper, machine learning technology is introduced into the field of secretarial teaching in vocational and technical education, which effectively promotes the development of secretarial education.
Stability analysis and selection of sugar beet (Beta vulgaris L.) genotypes using AMMI, BLUP, GGE biplot and MTSI
Authors: Taleghani Dariush , Rajabi Abazar , Saremirad Ali , Fasahat Parviz 
Published: April 2023

Abstract

The aim of this study was to evaluate the effect of genotype× environment interaction (GEI) and selection of the best sugar beet genotypes. Eighteen sugar beet genotypes were evaluated in randomized complete block design in five research stations for two years. The additive effects analysis of the additive main effects and multiplicative interaction (AMMI) model showed that the effects of genotype, environment and GEI were significant for root yield (RY), white sugar yield (WSY), sugar content (SC), and extraction coefficient of sugar (ECS). The multiplicative effects analysis of AMMI into interaction principal components (IPCs) showed that the number of significant components varies from one to four in the studied traits. According to the biplot of the mean yield against the weighted average of absolute scores (WAAS) of the IPCs, G2 and G16 for RY, G16 and G2 for WSY, G6, G4, and G1 for SC and G8, G10 and G15 for ECS were identified as stable genotypes with optimum performance. The likelihood ratio test showed that the effects of genotype and GEI was significant for all studied traits. In terms of RY and WSY, G3 and G4 had high mean values of the best linear unbiased predictions (BLUP), so they were identified as suitable genotypes. However, in terms of SC and ECS, G15 obtained high mean values of the BLUP. The GGE biplot method classified environments into four (RY and ECS) and three (WSY and SC) mega-environments (MEs). Based on the multi-trait stability index (MTSI), G15, G10, G6, and G1 were the most ideal genotypes.