Left Atrial Thrombosis before Catheter Ablation or Cardioversion in Patients with Non-valvular Atrial Fibrillation or Atrial Flutter: what Risk Score is Most Informative? by I. A. Zaigraev, I. S. Yavelov, O. M. Drapkina, E. V. Bazaeva

“…>˂0.0001) with sensitivity, specificity, positive and negative predicting values 90.6%, 57.1%, 30.2% and 96.7% respectively.Conclusion. …”
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NINJ1 and MMP9: potential biomarkers for intracranial atherosclerosis plaque vulnerability by Xiao-lian Wei, Xiao-lian Wei, Xin Da, Yu-ge Zhang, Yu-ge Zhang, Zi-ang Li, Bing-jie Liu, Bing-jie Liu, Rui-fang Yan, Hua Zhong, Bin Yuan, Bin Yuan

“…Background and objectiveTo utilize high-resolution vessel wall imaging (HR-VWI) to identify the characteristic features of culprit plaques in intracranial atherosclerotic stenosis (ICAS) vessels and evaluate the predictive value of serum nerve injury-induced protein 1 (NINJ1) and matrix metalloproteinase 9 (MMP9) for the vulnerability of intracranial atherosclerotic plaques.MethodsThis study included symptomatic intracranial atherosclerotic stenosis (sICAS) patients who underwent high-resolution vessel wall imaging (HR-VWI) and healthy individuals. …”
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Body roundness index, visceral adiposity index, and metabolic score for visceral fat in predicting new-onset atrial fibrillation: a UK Biobank cohort study by Yi ZHENG, Lei LIU, Xinyu ZHENG, Tong LIU, Xiaoping LI

“…C-index analyses were conducted to evaluate the predictive value of BRI, VAI, and METS-VF for new-onset AF. …”
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Triple-Valued Neutrosophic Off for Public Digital Cultural Service Level Evaluation in Craft and Art Museums by Jiarong Jia

“…The transformation of public cultural services into digital platforms raises critical questions about service quality, inclusiveness, and educational value. This study proposes a comprehensive evaluation framework for assessing the service level of public digital cultural offerings in craft and art museums. …”
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An evaluation study of the quality of the performance of the teaching staff of the departments of physical education and sports sciences in the Faculties of Basic Education for the... by Dr. Salam Hantoush

“… The current research has touched on the importance of performance in teaching departments of physical education and sports sciences for what university education institutions consider to be the highest educational summit in all countries of the world and this is of particular importance because it considers the institution the highest educational and educational value in the learning pyramid from kindergarten to university education. …”
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Representasi Nilai Pendidikan Lingkungan Novel Jejak Balak Karya Ayu Werilang (2023): Kajian Ekokritik by Nisma

“…The research findings indicate that Jejak Balak represents environmental education values through these six aspects in line with Garrard’s theory. …”
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Unveiling the predictive synergy of red cell distribution width and peak morning home systolic blood pressure: a dual biomarker approach for cognitive risk stratification in hypert... by Yimin Shu, Jie Chen, Yanjin Song, Wuhong Wang

“…AimThis study aims to evaluate the predictive value of combining red cell distribution width (RDW) and peak morning home systolic blood pressure (SBP) for post-stroke cognitive impairment (PSCI) in hypertensive patients with minor stroke.MethodsA prospective cohort study enrolled 430 patients, randomly stratified into training (n = 301) and validation (n = 129) cohorts. …”
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Evaluation of Lymphocyte-to-Monocyte Ratio and Mean Platelet Volume-to-Platelet Ratio in Rhegmatogenous Retinal Detachment by Xuan Xiao, Jiayi Song, Lin Ye, Wen Zuo, Hongxia Yang, Changzheng Chen, Hongmei Zheng, Ting Chen

“…Purpose. To assess the predictive value of inflammatory blood biomarkers in rhegmatogenous retinal detachment (RRD) patients and its correlation with proliferative retinopathy (PVR) grade. …”
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Bus Arrival Time Prediction Based on the Optimized Long Short-Term Memory Neural Network Model With the Improved Whale Algorithm by Bing Zhang, Lingfeng Tang, Dandan Zhou, Kexin Liu, Yunqiang Xue

“…The results show that the IWOA–LSTM prediction model has the best-fitting effect between the predicted values and actual values in all time periods. …”
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Preeclampsia pathogenesis and prediction - where are we now: the focus on the role of galectins and miRNAs by Natasa Karadzov Orlic, Ivana Joksić

“…This ratio has a high negative predictive value, allowing for the reliable exclusion of the disease. …”
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Evaluate the efficiency of Widal test in diagnosis of typhoid Fever in arriving patients to Kirkuk hospitals by Khelowd Ayad Majeed, Bashar Sadeq Noomi

“…Both types of Ab (IgM and IgG) increasing in ratio  12% (18:150). the accuracy of widal test showed that the Positive and negative predictive value were 49.45%, 87.17% respectively, While the percentage of sensitivity and specificity were 92.95% and 43.03% respectively. …”
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Limited research investigating the value of MRI in predicting future cognitive morbidity in survivors of paediatric brain tumours: A systematic-review and call to action for clinic... by Daniel J Griffiths-King, Christopher Delivett, Andrew Peet, Jane Waite, Jan Novak

“…While established risk factors exist, quantitative MRI analysis may enhance predictive value, above and beyond current clinical risk models. …”
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Rapid thrombophilia genetic test facilitates improved prenatal care for mother and child by M.J. Kotze, C. la Grange, E.P.G. Mansvelt

“…The importance of multi-gene testing is emphasised by the low predictive value of any single inherited marker and the significant increase in the probability of thrombosis when more than one risk factor is identified.…”
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Physical and numerical modeling for the investigation of downstream scour caused by sudden blockage in circular and box culvert inlets by Saeed Gohari, Somayeh Karimpour

“…The comparison indicated that over 80% of the predicted values fall within ±30% error lines.…”
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Analytical approach for modelling of thread crimp in jacquard woven two-dimensional fabrics by Brigita Kolcavová Sirková, Iva Mertová

“…The theoretical predicted values of thread crimp in jacquard fabrics were compared with experimentally obtained values. …”
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SOIL MOISTURE PREDICTION MODEL IN PEATLAND USING RANDOM FOREST REGRESSOR by Helda Yunita Taihuttu, Imas Sukaesih Sitanggang, Lailan Syaufina

“…RFR is used because of its ability to predict values and its resistance to overfitting and outliers. …”
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RUSSIAN VERSION OF PHQ-2 AND 9 QUESTIONNAIRES: SENSITIVITY AND SPECIFICITY IN DETECTION OF DEPRESSION IN OUTPATIENT GENERAL MEDICAL PRACTICE by N. V. Pogosova, T. V. Dovzhenko, A. G. Babin, A. A. Kursakov, V. A. Vygodin

“…Russian questionnaires were found to success in sensitivity, specificity and their positive predictive values are comparable to similar research data reported in literature. …”
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Predicting antimicrobial resistance in Pseudomonas aeruginosa with machine learning‐enabled molecular diagnostics by Ariane Khaledi, Aaron Weimann, Monika Schniederjans, Ehsaneddin Asgari, Tzu‐Hao Kuo, Antonio Oliver, Gabriel Cabot, Axel Kola, Petra Gastmeier, Michael Hogardt, Daniel Jonas, Mohammad RK Mofrad, Andreas Bremges, Alice C McHardy, Susanne Häussler

“…Using these data types alone or in combination resulted in high (0.8–0.9) or very high (> 0.9) sensitivity and predictive values. For all drugs except for ciprofloxacin, gene expression information improved diagnostic performance. …”
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Artificial intelligence-derived retinal age gap as a marker for reproductive aging in women by Hanpei Miao, Sian Liu, Zehua Wang, Yu Ke, Linling Cheng, Wenyao Yu, Dihui Yu, Kang Zhang, Yuanxu Gao, Zhuo Sun

“…Lower AMH levels correlated with earlier reproductive aging milestones, emphasizing the predictive value of retinal aging. Genetic data from genome-wide association studies further supported these associations and enhanced AMH prediction through multimodal modeling. …”
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Machine Learning Analysis of Umbilic Defect Annihilation in Nematic Liquid Crystals in the Presence of Nanoparticles by Ingo Dierking, Adam Moyle, Gabriele Maria Cepparulo, Katherine Skingle, Laura Hernández, Juhan Raidal

“…It is observed that the defect annihilation scaling exponents deviate from the theoretically predicted value of α = 1/2 when nanoparticles of varying size and concentration are introduced to the system. …”
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