Performance of Resource Management Techniques for Weather-Impacted Satellite Networks by Olugbenga Emmanuel Imole, Tom Mmbasu Walingo

“…Commonly, most techniques rely on predicted attenuation along the link for selection of optimal transmission parameters. …”
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Modeling of Brain Shift Phenomenon for Different Craniotomies and Solid Models by Alvaro Valencia, Benjamin Blas, Jaime H. Ortega

“…The models were solved with the finite elements package ANSYS. The predictions on stress and displacements were compared for three different craniotomies. …”
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Numerical Modeling of a Hot Plate Stove for Peanut Roasting by Anthony Agyei-Agyemang, Michael Kweku Commeh, Peter Oppong Tawiah, Benjamin Atribawuni Asaaga

“…It was observed that maximum surface temperatures of 133°C, 153.25°C, 310.63°C, and 265.07°C were obtained after 180 minutes (three hours) for the experimental (without fins), predicted (without fins), predicted (with rod fins), and predicted (with honeycomb fins), respectively. …”
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Progressive Failure Analysis of Laminated CFRP Composites under Three-Point Bending Load by Bing Shen, HongJun Liu, Shengli Lv, Zheng Li, Wen Cheng

“…The experimental results show that the relative errors of the flexural strength and flexural modulus of the current model simulation results and the experimental data were −3.10% and −2.70%, respectively, and the damage evolution process after the ultimate load was accurately predicted. Meanwhile, the predicted final failure and damage modes were consistent with the micrographs of the failed specimens.…”
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Application of the Film–Pore Diffusion Model to the Sorption of Phenol onto Activated Carbons Prepared from Peanut Shells by Elio E. Gonzo, Luis F. Gonzo

“…The predicted concentration decay curves were compared with the experimental findings. …”
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Recognition of Failure Mode of Slope Block Failure Mode in Zhouning Pumped Storage Station Based on Stereographic Projection Method by KANG Zhiliang, ZHOU Shuntian, ZHU Yongsheng, CHU Weijiang, PAN Bing

“…Based on the geological and engineering conditions of the slope at the lower reservoir site of Zhouning Pumped Storage Station, this paper predicts and analyzes the failure mode of random block of the slope is predicted and analyzed by the stereographic projection method. …”
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Pulmonary Hemodynamics and Six-Minute Walk Test Outcomes in Patients with Interstitial Lung Disease by Osamu Nishiyama, Ryo Yamazaki, Hiroyuki Sano, Takashi Iwanaga, Yuji Higashimoto, Hiroaki Kume, Yuji Tohda

“…Stepwise multivariate regression analyses showed that % predicted FVC and % predicted DLco were independent predictors of walk distance (r2=0.35, p=0.0002). …”
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The Stress and Adversity Inventory for Adults (Adult STRAIN) in Korean: Initial Validation and Associations with Psychiatric Disorders by Eun Soo Kim, Yun Tae Kim, Kang-Seob Oh, Young Chul Shin, Sang-Won Jeon, Dong-Won Shin, Sung Joon Cho, George M. Slavich, Junhyung Kim

“…Methods: We translated the Adult STRAIN into Korean and examined its concurrent, predictive, and comparative predictive validity in 218 Korean adults (79 men, 139 women; <i>M</i>_age = 29.5; 19–50 years old) recruited from a psychiatric setting. …”
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The association of RBP4 with chronic kidney diseases in southern Chinese population by Tong Chen, Tong Chen, Tong Chen, Yu Liu, Yu Liu, Shiquan Wu, Siyu Long, Ling Feng, Wenqian Lu, Wenya Chen, Guoai Hong, Li Zhou, Fang Wang, Yuechan Luo, Hequn Zou, Hequn Zou, Weihua Liu

“…Receiver operating characteristic (ROC) were used to evaluate the optimal cut-off and predictive value of RBP4 for predicting CKD.ResultsBy using the quartile grouping method, the population was divided into four groups according to the RBP4 level. …”
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The Efficacy and Predictors of Using GPi-DBS to Treat Early-Onset Dystonia: An Individual Patient Analysis by Wenxiu Chen, Houyou Fan, Guohui Lu

“…To compare the efficacy in patients with different genotypes, identify the potential predictive factors, and summarize the complications of globus pallidus deep brain stimulation (GPi-DBS) treating early-onset dystonia. …”
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Probabilistic Forecasts of Storm Sudden Commencements From Interplanetary Shocks Using Machine Learning by A. W. Smith, I. J. Rae, C. Forsyth, D. M. Oliveira, M. P. Freeman, D. R. Jackson

“…The most important parameter for these predictions was found to be the minimum observed BZ. …”
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Comprehensive Analysis of the Expression, Prognostic Value, and Immune Infiltration Activities of GABRD in Colon Adenocarcinoma by Fakun Huang, Zhengyang Wang, Liyue Zhu, Changqing Lin, Jia-xing Wang

“…Additionally, the predictive nomogram model can accurately predict the fate of individuals with COAD. …”
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Analysis of the Shear Capacity of Ultrahigh Performance Concrete Beams Based on the Modified Compression Field Theory by Wei Feng, Hongming Feng, Zhijun Zhou, Xiongwei Shi

“…Comparing the MCFT model with the results of other pieces of literature, this formula accurately predicted the shear capacity of UHPC beams. The MCFT model and the simplified formula presented in this paper provide a powerful tool for predicting the shear performance of UHPC-T beams, which will contribute to the design and analysis of UHPC-T beams.…”
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Correlation of rivaroxaban solubility in mixed solvents for optimization of solubility using machine learning analysis and validation by Muteb Alanazi, Jowaher Alanazi, Tareq Nafea Alharby, Bader Huwaimel

“…To complement experimental insights, machine learning models were employed to predict rivaroxaban solubility based on temperature, solvent type, and mass fraction of dichloromethane. …”
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The Ghent Hybrid model in NuWro: a new neutrino single-pion production model in the GeV regime by Qiyu Yan, Kajetan Niewczas, Alexis Nikolakopoulos, Raúl González-Jiménez, Natalie Jachowicz, Xianguo Lu, Jan Sobczyk, Yangheng Zheng

“…Frameworks of oscillation analyses strongly rely on Monte Carlo neutrino event generators, which provide theoretical predictions of neutrino interactions on nuclear targets. …”
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A novel machine learning approach for portfolio optimization by Saman Haratizadeh, Fatemeh Rezaee

“…In the second step, a separate forecasting model predicts portfolio returns by taking into account both the forecasted returns in the first model and the expected risk of the stocks. …”
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The effect of anti mullerian hormone and follicle stimulating hormone discordance on oocyte quality and live birth rates by Seray Kaya, Murat Genc, Bensu Bulut, Medine Akkan Oz, Mustafa Ozturk

“…However, in clinical practice, these parameters often conflict, with one suggesting a good ovarian reserve while the other indicates a diminished one. AMH is known to predict oocyte count effectively, but its ability to predict live births is weaker. …”
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Study the relationship between serum lipid profile and bronchial asthma exacerbation by Israa S.M.M. Elkordi, Manal R. Hafez, Hoda A. Eid

“…Serum HDL-c could be used to discriminate between acute and stable phases with 64% sensitivity, 68% specificity, 66.7% positive predictive value and 56.4% negative predictive value. …”
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Application of deep learning algorithm for judicious use of anti-VEGF in diabetic macular edema by Anwesa Mondal, Apurba Nandi, Subhasish Pramanik, Lakshmi Kanta Mondal

“…These pathways converge into a unified predictive framework designed to enhance the model’s accuracy. …”
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Prognostic factors for survival in patients with advanced cholangiocarcinoma treated with percutaneous transhepatic drainage by Tomas Rohan, Barbora Cechova, Peter Matkulcik, Matej Straka, Jan Zavadil, Michal Eid, Michal Uher, Marek Dostal, Tomas Andrasina

“…A simple scoring system was developed to predict 3-month mortality after PTBD in patients with advanced CCA, demonstrating 86.3% negative predictive value and 43.2% positive predictive value.…”
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