Mechanism of melanoma suppression by Prosopis juliflora derived alkaloids: Apoptosis induction and signaling pathway inhibition by Jasoda Choudhari, Snehal K. Nimal, Shridhar Chougule, Trupti Shinde, N.R. Dhatrak, Gopal C. Kundu, Rajesh N. Gacche

“…In-vitro spheroid assay was performed to explored the PJLME-AF cytotoxic effects on tumour spheroid forming ability of melanoma cells. Additionally, the anti-tumor efficacy of PJLME-AF was tested in an in-vivo C57BL/6 mouse model. …”
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Probiotic characteristics and whole genome sequencing of Pediococcus pentosaceus SNF15 and its protective effect on mice diarrhea induced by Escherichia coli K99 by Yalan Su, Mingque Feng, Jingdi Tong, Xiangfu Wen, Meiyi Ren, Deyuan Song, Jinshang Song, Xiaohan Li, Qinna Xie, Jia Cheng, Mingchao Liu

“…In vitro assessments included growth character and acid-producing ability, bile salt and artificial gastroenteric fluid tolerance, Caco-2 adhesion, hemolysis screening, and antibiotic susceptibility. …”
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The predictive value of the preoperative albumin‐to‐fibrinogen ratio for postoperative hospital length of stay in liver cancer patients by Fang Li, Yuetong Ren, Jiacheng Fan, Jin Zhou

“…Subgroup analysis confirmed AFR's predictive ability for patients experiencing reduced or prolonged LOS due to Child–Pugh score, surgical methods, and total bilirubin concentrations. …”
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Pragmatic, multicentre, randomised controlled trial of a Hospital-Community-Home Tiered Transitional Care (HCH-TTC) programme for individuals with type 2 diabetes: a study protocol by Hongyan Wang, Min Lu, Zheng Zhu, Ruijie Ma, Baiyun Zhou, Mengyao Shao, Yanmei Wang

“…Statistical analysis will employ independent sample t-tests and repeated measures analysis of variance.Ethics and dissemination The Gongli Hospital Ethics Committee (GLYY1s2021-010) approved the study. …”
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The inhibitory effect of Osthole on A549 lung adenocarcinoma cells and its biomarker by Yinlan Xu, Lulu Chen, Dong Liu, Bo Xue, Chaoying Li, AJab Khan, Xuehua Li, Ruling Shi

“…The results showed that Curcumin, Osthole, Paeonol, Cepharanthine and Cisplatin significantly reduced the proliferation, migration and invasion abilities of A549 cells in a dose-dependent manner. …”
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ImageNomer: Description of a functional connectivity and omics analysis tool and case study identifying a race confound by Anton Orlichenko, Grant Daly, Ziyu Zhou, Anqi Liu, Hui Shen, Hong-Wen Deng, Yu-Ping Wang

“…Using correlation analysis in the ImageNomer software, we show that FCs correlated with Wide Range Achievement Test (WRAT) score are in fact more highly correlated with race. …”
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Determinants of school-going adolescent girls’ health and nutritional status in district Malir, Karachi: a baseline cross-sectional study by Saira Zafar, Babar Tasneem Shaikh, Zoha Imtiaz Malik, Abdul Momin Rizwan Ahmad

“…The data collected were analyzed through SPSS version 27.0. The chi-square test was used to determine the association between the two BMI categories; underweight and normal weight, and various socio-demographic variables.ResultsAmong the total of 84 adolescent girls, overall mean height was 143.9 ± 8.1 cm and mean weight was 34.4 ± 6.9 kg, while mean BMI was 16.4 ± 2.2 kg/m2. 86.9% of girls were underweight, whereas 13.1% had a normal BMI. …”
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Knowledge, attitudes, and beliefs regarding acute coronary syndrome in patients with type 2 diabetes: a cross-sectional study by Mohammad Amerzadeh, Mahdie Bahrami, Mojtaba Senmar, Zahra Hosseinkhani, Zahra Shafiei Kisomi

“…Data analysis was performed using descriptive and analytical statistics, with a significance level of <0.05 for all tests. Results The mean (standard deviation) scores for knowledge, attitudes, and performance of patients with T2DM were 67.46 (6.3), 62.11 (28.2), and 97.22 (5.4), respectively. …”
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The Anatomical Biological Value on Pretreatment 18 F-fluorodeoxyglucose Positron Emission Tomography Computed Tomography Predicts Response and Survival in Locally Advanced Head and... by Hani Ashamalla, Malcolm Mattes, Adel Guirguis, Arifa Zaidi, Bahaa Mokhtar, Ajay Tejwani

“…The objective of this study was to evaluate different PET/CT parameters for their ability to predict response to therapy and survival in patients treated for head and neck cancer. …”
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Application of GUHA data mining method in cohort data to explore paths associated with premature death: a 29-year follow-up study by Lily Nosraty, Esko Turunen, Saila Kyrönlahti, Clas-Håkan Nygård, Prakash KC, Subas Neupane

“…Explanatory variables encompassed sociodemographic characteristics, health and functioning, health behaviors, subjective experiences, working conditions, and work abilities. Data were mined using the General Unary Hypothesis Automaton (GUHA) method, implemented with LISp-Miner software. …”
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COVID-19 and Cancer: Discovery of Difference in Clinical Immune Indexes by Xiaojiao Zeng, Xianghu Jiang, Liu Yang, Yunbao Pan, Yirong Li

“…Quantitative and qualitative variables were measured by one-way ANOVA and chi-square test, respectively. Herein, we carried out a correlation analysis between immune cells and cytokines and used receiver operating characteristic (ROC) curves to discover the optimal diagnostic index. …”
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Features of the Formation of Humoral Immunity in Individuals with Various Clinical Manifestations of COVID-19 by T. A. Platonova, A. A. Golubkova2, E. A. Karbovnichaya, S. S. Smirnova

“…The antibodies were examined by solid-phase enzyme immunoassay using the SARS-CoV-2IgM-ELISA-BEST and SARS-CoV-2-IgG-ELISA-BEST test systems (manufactured by VECTOR-BEST JSC) and Antigma A (manufactured by Generium). …”
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Transition to emergency distance learning amid COVID-19 pandemic through the lens of students’ subjective experience of the transformation of university learning environment by E. I. Kazakova, I. E. Kondrakova, Yu. L. Proekt

“…Distance learning is presented to students as a basis for meeting the need for subjectivity of their personality, the ability to initiate their own learning activities. …”
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MRI feature-based discrimination model for prediction of MGMT promoter methylation status in glioma by ZHANG Zhi-zhong, YOU Na, LIU Ming-hang, LI Ze, SUN Guo-chen, ZHAO Kai

“…For the prediction task, further train and test 4 machine learning (ML) models, namely Logistic regression (LR), support vector machine (SVM), random forest (RF), and gradient boosting (GB). …”
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Investigation of the impact of token embeddings in Transformer-based models on short-term tropical cyclone track and intensity predictions by Yuan-Jiang Zeng, Yi-Qing Ni, Zheng-Wei Chen, Guang-Zhi Zeng, Jia-Yao Wang, Pak-Wai Chan

“…These results highlight the superiority of iTransformer in track prediction and the efficacy of TVFormer in intensity prediction, thanks to their ability to exploit temporal and variate dependencies, offering potential for TC disaster preparedness systems.…”
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A Novel Risk Score for Type 2 Diabetes Containing Sleep Duration: A 7-Year Prospective Cohort Study among Chinese Participants by Xiangtong Liu, Zhiwei Li, Jingbo Zhang, Shuo Chen, Lixin Tao, Yanxia Luo, Xiaolin Xu, Jason Peter Fine, Xia Li, Xiuhua Guo

“…Seven variables, including age, education, waist-hip ratio, body mass index, parental history of diabetes, fasting plasma glucose, and sleep duration, were selected to form the comprehensive score; the C-index was 0.74 (95% CI: 0.71-0.76) for the test set. The IDI and NRI values for sleep duration were 0.017 (95% CI: 0.012-0.022) and 0.619 (95% CI: 0.518-0.695), respectively, suggesting good improvement in the predictive ability of the comprehensive nomogram. …”
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Landscape genetics highlights species-specific ecological influences on gene flow in highland frog populations from northeastern Brazil by José Henrique de Andrade Lima, Marco Katzenberger, Marcelo Gehara, Pedro Ivo Simões

“…Conclusions The contrasting genetic structures of the two species likely result from differences in their ability to traverse dry lowland areas between mesic highland forests, with Isolation by Distance and Isolation by Environment affecting each species differently. …”
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Comparative clinical frailty scale and hospital frailty risk score in identifying frailty and predicting mid-term outcomes in older patients with acute coronary syndrome: a multice... by Tan Van Nguyen, Huy Minh Tran, Trinh Kim Thi Ngo

“…Abstract Background We aimed to compare the agreement between two common frailty assessment tools, Clinical Frailty Scale (CFS) and Hospital Frailty Risk Score (HFRS), and their ability to predict mid-term adverse outcomes in older patients admitted with acute coronary syndrome (ACS). …”
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Prognostic factors for death in patients hospitalised with malaria in pediatric units at the regional hospital centre in Dori, Burkina Faso by Julien Raymond Dango, Isidore Tiandiogo Traore, Ziemle Clément Meda, Cheick Ahmed Ouattara, Dénahou Mathias Kpadonou, Louis Arnaud R. Ouedraogo, Léon G. Blaise Savadogo

“…Cox regression analysis was chosen for its ability to handle time-to-event data and assess the impact of multiple covariates on survival. …”
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Predicting crop yield lows through the highs via binned deep imbalanced regression: A case study on vineyards by Hamid Kamangir, Brent S. Sams, Nick Dokoozlian, Luis Sanchez, J. Mason Earles

“…This approach encourages smoother and more coherent input feature maps across different segments of the yield value range by leveraging similarities within and across yield bins, ultimately improving the model’s ability to generalize and distinguish between subtle variations in yield. …”
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