Diagnostic Performance between Histidine-Rich Protein 2 (HRP-2), a Rapid Malaria Diagnostic Test and Microscopic-Based Staining Techniques for Diagnosis of Malaria by Jean Baptiste Niyibizi, Emmanuel Kamana Gatera

“…Negative and positive predictive values of Giemsa microscopy were both 100%. …”
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Identification of a New Prognostic Risk Signature of Clear Cell Renal Cell Carcinoma Based on N6-Methyladenosine RNA Methylation Regulators by Yan Zhang, Yao Yao, Xiaochen Qi, Jianyi Li, Meihong Liu, Xiangyu Che, Yingkun Xu, Guangzhen Wu

“…LASSO Cox regression analysis was used to build a risk signature to predict the prognosis of patients with ccRCC. An ROC curve, univariate Cox regression analysis, and multivariate Cox regression analysis were used to verify this risk signature’s predictive ability. …”
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Process variables in mixture experimental design applied to wood plastic composites by Javier Cruz-Salgado, Sergio Alonso-Romero, Edgar Augusto Ruelas-Santoyo, José Alfredo Jiménez-García, Israel Miguel-Andrés, Roxana Zaricell Bautista-López

“…The model demonstrates strong predictive accuracy, with R-squared and adjusted R-squared values of 92% and 86%, respectively, and a low root mean square error (S) of 0.2818. …”
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Aspartate aminotransferase to platelet ratio correlates with poor prognosis and metabolic alterations in Dabie bandavirus infection by Chunxia Guo, Ruixue Li, Xia Wang, Xiulan Peng

“…The prognostic value and predictive performance of APRI were more substantial after PSM than before PSM. …”
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Urinary prostaglandin metabolites evaluation for activity monitoring in inflammatory bowel disease by Renata d’Inca, Hana Manceau, Lucia Zanni, Laura Vernoux, Xavier Treton, Katell Peoc’h

“…This study evaluated PGE-MUM performance for predicting an active disease in patients with CD and UC. …”
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Development of a Ten-lncRNA Signature Prognostic Model for Breast Cancer Survival: A Study with the TCGA Database by Wenqing Zhou, Yongkui Pang, Yunmin Yao, Huiying Qiao

“…Finally, we constructed a ten-lncRNA signature model that can serve as an independent prognostic model to predict BRCA patient survival.…”
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Relationship between Body Roundness Index and Risk of Type 2 Diabetes in Japanese Men and Women: A Reanalysis of a Cohort Study by Wei Zhao, Jingjing Tong, Jinghua Li, Yongtong Cao

“…BRI is an effective indicator of predicting T2DM. Its discriminatory power was higher than that of BMI and WC in both sexes.…”
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Employee Retention and Organizational Performance: A Case Study of Centenary Bank in Kigezi Region Uganda. by Kaziro, Nicholas

“…In the multiple regression analysis, the study established the predicted power of the work environment on organizational performance. …”
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A structural genomics approach to investigate Dystrophin mutations and their impact on the molecular pathways of Duchenne muscular dystrophy by Abdelbaset Mohamed Elasbali, Farah Anjum, Osama A. AlKhamees, Waleed Abu Al-Soud, Mohd Adnan, Anas Shamsi, Md. Imtaiyaz Hassan

“…Additionally, aggregation propensity, frustration analysis, and post-translational modification sites were analyzed for functional disruptions.ResultsOf the 184 substitutions analyzed, 50 were identified as deleterious, with 41 predicted to be pathogenic. Seventeen mutations were localized in the Calponin-homology (CH) 1 domain, a critical functional region of Dystrophin. …”
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Profiling Near-surface Winds on Mars Using Attitude Data from Mars 2020 Ingenuity by Brian Jackson, Lori Fenton, Travis Brown, Asier Munguira, German Martinez, Claire Newman, Daniel Viúdez-Moreiras, Matthew Golombek, Ralph Lorenz, Mark D. Paton, Dylan Conway

“…We compared our estimates to wind data from the meteorology package MEDA on board the Mars 2020 Perseverance rover and to predictions from meteorological models. Wind directions inferred from Ingenuity data agreed with the directions measured by MEDA, when the latter were available, but deviated from model-predicted directions by as much as 180° in some cases. …”
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Single-cell sequencing uncovers the mechanistic role of DAPK1 in glioma and its diagnostic and prognostic implications by Tian-Hang Yu, Yan-Yu Ding, Yan-Yu Ding, Si-Guo Zhao, Jie-Hui Zhao, Yu Gu, Dong-Hui Chen, Fang Zhang, Wen-Ming Hong, Wen-Ming Hong

“…BackgroundWe conducted an investigation into the characteristics of single-cell differentiation data in gliomas, with a focus on developing DAPK1-based prognostic markers to predict patient outcomes. Dysregulated expression of DAPK1 has been associated with the invasive behavior of various malignancies, including gliomas. …”
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Unlocking the Potential of RNA Sequencing in COVID-19: Toward Accurate Diagnosis and Personalized Medicine by Heba M. Saad Eldien, Abdulrahman H. Almaeen, Ahmed Abo El Fath, Ahmed E. Taha, Rehab Ahmed, Hassabelrasoul Elfadil, Helal F. Hetta

“…This variability complicates efforts to predict disease progression and tailor treatment strategies. …”
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Evaluation of Chest CT Scan as a Screening and Diagnostic Tool in Trauma Patients with Coronavirus Disease 2019 (COVID-19): A Cross-Sectional Study by Hossein Abdolrahimzadeh Fard, Salahaddin Mahmudi-Azer, Sepideh Sefidbakht, Pooya Iranpour, Shahram Bolandparvaz, Hamid Reza Abbasi, Shahram Paydar, Golnar Sabetian, Mohamad Mahdi Mahmoudi, Masoume Zare, Leila Shayan, Maryam Salimi

“…Chest CT scan had a sensitivity of 68%, specificity of 56%, positive predictive value of 34.8%, negative predictive value of 83.7%, and accuracy of 59.3% in detecting COVID-19 among trauma patients. …”
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Correlation between carbapenem susceptibility in Pseudomonas aeruginosa and modified antibiotic heterogeneity index: a multicenter observational study using a surveillance platform by Keisuke Sawada, Takaaki Kato, Shuji Kono, Hiromi Kaneko, Hayato Nakano, Shinobu Inada, Tatsuya Isogawa, Tadahiro Shimizu, Namiko Takahashi, Haruki Takano, Hiroaki Chiba, Makoto Sugimoto, Ryo Inose, Yuichi Muraki, Hideki Araoka

“…The optimal mAHI cutoff value for predicting 90% susceptibility was 0.765, with a sensitivity of 67.7% and specificity of 76.5%. …”
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Serum level of soluble interleukin‐2 receptor is positively correlated with metabolic tumor volume on 18F‐FDG PET/CT in newly diagnosed patients with diffuse large B‐cell lymphoma... by Hajime Senjo, Minoru Kanaya, Koh Izumiyama, Koichiro Minauchi, Kenji Hirata, Akio Mori, Makoto Saito, Masanori Tanaka, Hiroaki Iijima, Eriko Tsukamoto, Kazuo Itoh, Shuichi Ota, Masanobu Morioka, Daigo Hashimoto, Takanori Teshima, North Japan Hematology Study Group (NJHSG)

“…High total metabolic tumor volume (TMTV) calculated using 18F‐FDG PET/CT images at diagnosis predicts poor prognosis of patients with DLBCL. However, high cost and poor access to the imaging facilities hamper wider use of 18F‐FDG PET/CT. …”
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NLR, A Convenient Early-Warning Biomarker of Fatal Outcome in Patients With Severe Fever With Thrombocytopenia Syndrome by Yuanyuan Wei, Yuanyuan Wei, Zilong Wang, Luyang Kang, Lingling He, Lingling He, Nan Sheng, Nan Sheng, Jiangfeng Qin, Jiangfeng Qin, Shuangshuang Ma, Honghai Xu, Lifen Hu, Guizhou Zou, Yufeng Gao, Yufeng Gao, Jiabin Li, Jiabin Li

“…The efficacy of SFTVS viral load and NLR in predicting fatal outcomes was significantly higher than AST/ALT, AST, and BUN. …”
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LcProt: Proteomics‐based identification of plasma biomarkers for lung cancer multievent, a multicentre study by Hengrui Liang, Runchen Wang, Ran Cheng, Zhiming Ye, Na Zhao, Xiaohong Zhao, Ying Huang, Zhanpeng Jiang, Wangzhong Li, Jianqi Zheng, Hongsheng Deng, Yu Jiang, Yuechun Lin, Yun Yan, Lei Song, Jie Li, Xin Xu, Wenhua Liang, Jun Liu, Jianxing He

“…ABSTRACT Background Plasma protein has gained prominence in the non‐invasive predicting of lung cancer. We utilised Zeolite Zotero NaY‐based plasma proteomics to investigate its potential for multiple event predicting, including lung cancer diagnosis (task #1), lymph node metastasis detection (task #2) and tumour‒node‒metastasis (TNM) staging (task #3). …”
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The problem with Opaque AI by Asher Austen Fainman

“… The ability to uncover, evaluate and predict causality is fundamental in disciplines of inquiry, such as law. …”
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Draft Resource Mobilisation Plan by Kabale University

“…The overall objective of the Plan is to ensure that there is a clear, systematic, predictable and well-coordinated approach to soliciting, acquiring, utilization, management, reporting, monitoring, and evaluating assistance for expanding the resource base to ensure sustainable resource availability for implementation of the University programmes.…”
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Large Scale Genomic Instability as an Additive Prognostic Marker in Early Prostate Cancer by Maria E. Pretorius, Håkon Wæhre, Vera M. Abeler, Ben Davidson, Ljiljana Vlatkovic, Ragnhild A. Lothe, Karl-Erik Giercksky, Håvard E. Danielsen

“…Background: The clinical outcome for the individual prostate cancer patient is often difficult to predict, due to lack of reliable independent prognostic biomarkers. …”
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