Metacognitive Beliefs in Alexithymic Individuals by Zekiye Celikbas, Sedat Batmaz, Ufuk Bal, Esma Akpinar Aslan

“…Difficulty identifying feelings was predictive of negative beliefs about uncontrollability and danger; difficulty describing feelings was predictive of cognitive self-consciousness; externally-oriented thinking was predictive of positive beliefs about worry; and negative beliefs about uncontrollability and danger and cognitive self-consciousness were predictive of alexithymia. …”
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Study on the Influence of T Stress Component on the Tensile Initiation Angle of Compression-shear Closed Crack by JIN Songyang, LIU Hui

“…The traditional theory of fracture mechanics only considers the singular stress term in the Williams expansion term of the stress field at the crack tip.There is a big difference between the theoretical predicted value and the experimental value of the crack initiation angle.In order to study the influence of T-stress (non-singular stress term) on the tensile initiation angle of compression-shear closed crack,this paper firstly derives the theoretical solution of the stress near the closed crack tip under the condition of compression-shear stress,and introduces the T-stress into the traditional fracture criterion for correcting the maximum circumferential stress criterion;secondly,carries out the parameter sensitivity analysis for the three cases considering different T-stress components;finally,compares the theoretical predicted value with the experimental value in existing literature.The results show that:The T-stress component has a significant influence on the predicted value of initiation angle of closed crack.It is found by the parameter sensitivity analysis that the critical distance has the greatest influence on the crack initiation angle.At the same time,the predicted value of initiation angle with considering T_x,T_y and T_xy stress components is between that with only considering T_x stress component and considering T_x and T_y components,and with considering of three T-stress components,the predicted value of initiation angle is in good agreement with the experimental values.…”
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Study on the simulation of bridge deformation in a mining subsidence area by Chi Zhang, Kan Wu, Shengxiang Huang, Lingai Li, Xiaokang Rao

“…After the feasibility of the improvement schemes is validated, the revised model is employed to predict the bridge failure trend. The model parameters can be adjusted based on surface subsidence monitoring data, and by integrating these adjustments with the predicted subsidence results at the bottom section during various mining stages, the bridge failure trend can be accurately predicted.…”
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Classification of the Crystal Structures of Orthosilicate Cathode Materials for Li-Ion Batteries by Artificial Neural Networks by Mookala Premasudha, Bhumi Reddy Srinivasulu Reddy, Kwon-Koo Cho, Ahn Hyo-Jun, Jae-Kyung Sung, Nagireddy Gari Subba Reddy

“…The model demonstrated strong predictive capability, with only seven misclassifications from 267 datasets, highlighting its robustness and reliability in predicting the crystal structure of orthosilicate cathodes. …”
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The reciprocal relationship between social exclusion and basic psychological needs through cross-lagged analysis by Shuyue Zhang, Xiang Luan, Ya-Nan Fu, Ruodan Feng, Shichen Liang, Shuncai Liu, Jie Meng, Qinghua He

“…Additionally, competence needs at T1 positively predicted being ignored but negatively predicted being rejected at T2. …”
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Detection of Peripheral Ventilation Inhomogeneity in Smokers by DJ Cotton, JT Mink, BL Graham

“…Although, in some studies, the test predicts smokers at risk of developing chronic airflow limitation, its wide variability partly explains its poor positive predictive value. …”
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Integrating deep learning in public health: a novel approach to PICC-RVT risk assessment by Yue Li, Yue Li, Shengxiao Nie, Lei Wang, Dongsheng Li, Shengmiao Ma, Ting Li, Hong Sun

“…Stability varied with the number of predictive factors, with Cox-Time showing the highest ICC (0.974) with 16 predictive factors, and DeepSurv the most stable with 26 predictive factors (ICC: 0.983). …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…From the linear regression analysis, it was revealed that from the linear regression, it was revealed that recruitment and selection predicted employee retention by only 0.08% with insignificant predictive potential at (Beta = .026, p=.781>0.05), development and training predicted employee retention by only 10.1% with insignificant predictive potential at (Beta = .159, p=.086>0.05) and compensation and benefits predicted employee retention by only 17.8% with significant predicator at (Beta = .430, p=.000<0.05). …”
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Human Resource Practices and Employee Retention in Local Governments in Uganda: A Case of Kabale District Local Government. by Baingana, Alex

“…From the linear regression analysis, it was revealed that from the linear regression, it was revealed that recruitment and selection predicted employee retention by only 0.08% with insignificant predictive potential at (Beta = .026, p=.781>0.05), development and training predicted employee retention by only 10.1% with insignificant predictive potential at (Beta = .159, p=.086>0.05) and compensation and benefits predicted employee retention by only 17.8% with significant predicator at (Beta = .430, p=.000<0.05). …”
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Comparison of Injury Severity Score (ISS) and New Injury Severity Score (NISS) in the Evaluation of Thoracic Trauma Patients: A Retrospective Cohort Study by He Jin, Yuanyuan Zhang, Qi Zhang, Lijuan Ouyang, Xueyao Li, Yiyan Zhang, Baosheng Yang, Junfeng Sun, Chaohui Wei, Guimei Yang, Li Guan, Shilan Luo, Junyu Zhu, Huaping Liang

“…ISS showed better calibration than NISS for predicting pneumonia, respiratory failure, in-hospital tracheal intubation, extended length of hospital stay, and ICU admission but worse calibration for predicting prolonged ICU stay and death. …”
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Value of combining lung ultrasound score with oxygenation and functional indices in determining weaning timing for critically ill pediatric patients by Ximeng Hao, Hongnian Duan, Qiushuang Li, Dan Wang, Xin Yin, Zhiyan Di, Shanshan Du

“…An LUS score ≥ 15.5 was identified as the optimal cutoff for predicting weaning failure, with superior predictive power compared to RSBI and P/F ratios. …”
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Comprehensive Evaluation of Inflammatory Biomarkers in Cervical Cancer Treated with Chemoradiotherapy by Timur Koca, Nurcihan Gocen Vardar, Rahmi Atıl Aksoy, Aylin Fidan Korcum

“…Multivariate analysis revealed that only the PIV significantly predicted PFS (HR 3.05, 95% CI 1.0 to 9.3, <i>p</i> = 0.04). …”
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Postpartum changes in maternal physiology and milk composition: a comprehensive database for developing lactation physiologically-based pharmacokinetic models by Neel Deferm, Neel Deferm, Jean Dinh, Jean Dinh, Amita Pansari, Masoud Jamei, Khaled Abduljalil

“…These functions can be integrated into lactation PBPK models to increase their predictive power and better inform medication efficacy and safety for breastfeeding women.…”
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A multi-criteria optimization for a radial heat sink with semicircular fins based on the design of experiments approach by Yousif Hashim Hussein, Tahseen Ahmad Tahseen, Abdulrazzak Akroot, M.A.H. Mithu, Ammar M. Abdulateef

“…The proposed model demonstrated remarkable accuracy in predicting the Nusselt number, with values of R2, predicted R2, adjusted R2, and CV at 98.15 %, 97.08 %, 94.87 %, and 2.44 %, respectively. …”
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Clinical predictors of therapeutic laparotomy in anterior abdominal stab injuries: a multicenter study from low-income institutions in Ethiopia by Segni Kejela, Abel Hedato, Yeabsera Mekonnen Duguma, Meklit Solomon Gebremariam

“…The clinical predictors of therapeutic laparotomy were shown to have a high positive predictive value despite a lower negative predictive value. …”
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Relationship between Perineal Body Length and Degree of Perineal Tears in Primigravidas Undergoing Vaginal Delivery with Episiotomy by Suskhan Djusad, Yuditiya Purwosunu, Fadil Hidayat

“…Score test was performed to predict the occurrence of third- and fourth-grade perineal tears. …”
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The Molecular Mechanism Underlying Continuous Exercise Training-Induced Adaptive Changes of Lipolysis in White Adipose Cells by Junetsu Ogasawara, Tetsuya Izawa, Tomonobu Sakurai, Takuya Sakurai, Ken Shirato, Yoshinaga Ishibashi, Hitoshi Ishida, Hideki Ohno, Takako Kizaki

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Analytic Solutions of 2D Cubic Quintic Complex Ginzburg-Landau Equation by F. Waffo Tchuimmo, J. B. Gonpe Tafo, A. Chamgoue, N. C. Tsague Mezamo, F. Kenmogne, L. Nana

“…Then, the bifurcation method is used to predict the nature of solutions of the considered wave equation. …”
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Changing Trends in Modeling Mobility by Aarti Munjal, Tracy Camp, Nils Aschenbruck

“…The solutions developed use our understanding of movement patterns to predict the future contact probability for mobile nodes. …”
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A Higher Tidal Volume May Be Used for Athletes according to Measured FVC by Pavlos Myrianthefs, George Baltopoulos

“…We investigated whether professional athletes may require higher tidal volume (Tv) during mechanical ventilation hypothesizing that they have significantly higher “normal” lung volumes compared to what was predicted and to nonathletes. Measured and predicted spirometric values were recorded in both athletes and nonathletes using a Spirovit SP-1 spirometer (Schiller, Switzerland). …”
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