Gap Structure of the Overdoped Iron-Pnictide Superconductor Ba(Fe0.942Ni0.058)2As2: A Low-Temperature Specific-Heat Study by Gang Mu, Bo Gao, Xiaoming Xie, Yoichi Tanabe, Jingtao Xu, Jiazhen Wu, Katsumi Tanigaki

“…Our observation is similar to that observed in the Co-doped system in our previous work and is consistent with the theoretical prediction for a superconductor with line nodes in the energy gap.…”
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Influence of screw angle and position on the extraction dynamics of Cross-Laminated Timber: an empirical analysis and comparative modeling study by Jia Lei, Xinran Li, Xinmeng Wang, Feibin Wang, Shuo Wang, Xin An, Meng Gong, Zeli Que

“…The ratios of experimental capacities to model predictions were 1.26–1.49 for the Blaß and Uibel (B&U) model and 1.36–1.56 for Eurocode 5 (EC5). …”
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Enhanced Landslide Susceptibility Assessment in Western Sichuan Utilizing DCGAN-Generated Samples by Yuanxin Tong, Hongxia Luo, Zili Qin, Hua Xia, Xinyao Zhou

“…In-depth validation based on large landslide image data demonstrates the superiority of the DCGAN-ResNet, achieving a remarkable landslide prediction accuracy of 91.31%. Consequently, the generation of supplementary samples via the DCGAN is an effective strategy for enhancing the performance of machine learning models in LSA, underscoring the promise of this methodology in advancing early landslide warning systems in western Sichuan.…”
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Development and Validation of an Age-Specific Lower Extremity Finite Element Model for Simulating Pedestrian Accidents by Jing Huang, Yongcheng Long, Yu Yan, Lin Hu

“…The development of age-specific lower extremity models will lead to an improved understanding of the pedestrian lower extremity injury mechanisms and injury risk prediction for the whole population in vehicle-pedestrian collision accidents.…”
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Calculation of Spotting Particles Maximum Distance in Idealised Forest Fire Scenarios by José C. F. Pereira, José M. C. Pereira, André L. A. Leite, Duarte M. S. Albuquerque

“…For the cases of single and four torching trees the model predicts the maximum distances consistently but for slightly different particle diameter.…”
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Structure-guided identification of mitogen-activated protein kinase-1 inhibitors towards anticancer therapeutics. by Md Nayab Sulaimani, Shazia Ahmed, Farah Anjum, Taj Mohammad, Anas Shamsi, Ravins Dohare, Md Imtaiyaz Hassan

“…Subsequently, the selected hits underwent rigorous screening that included the identification of potential pan-assay interference compounds (PAINS), ADMET evaluation, and prediction of pharmacological activities using PASS analysis. …”
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Growth Differentiation Factor 15 and Risk of Death in Haemodialysis Patients by Christelle Calen, Seraina Von Moos, Pietro Cippà, Alexandre Mebazaa, Mattia Arrigo

“…The performance of circulating GDF-15 to predict long-term mortality has an area under the ROC curve of 0.76, P = 0.028. …”
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Situation Awareness-Based Safety Assessment Method for Human–Autonomy Interaction Process Considering Anchoring and Omission Biases by Shengkui Zeng, Qidong You, Jianbin Guo, Haiyang Che

“…In SAB-TDM, SA perception and comprehension affected by anchoring bias are quantified with the Adaptive Control of Thought-Rational (ACT-R) theory and Anchoring Adjustment Model (AAM); behavioral utility prediction affected by omission bias is quantified with Prospect Theory. …”
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Comparison of molecular analysis results determined by next-generation sequencing to immunohistochemical indicators and clinicopathological parameters in prostate adenocarcinomas by Merve Çırak Balta, İbrahim Halil Erdoğdu, Esin Oktay, Nil Çulhac

“…Conclusion: Regarding prognosis prediction and treatment, identifying the molecular changes in genes playing roles in prostate cancer with next-generation sequencing is very important.…”
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In Silico Analysis on the Interaction of Haloacid Dehalogenase from Bacillus cereus IndB1 with 2-Chloroalkanoic Acid Substrates by Enny Ratnaningsih, Saepulloh Saepulloh

“…Structure prediction revealed that Bcfd1 protein consist of two domains. …”
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A Mathematical Model for the Within-Host Dynamics of Malaria Parasite with Adaptive Immune Responses by Jemal Muhammed Ahmed, Getachew Tashome Tilahun, Shambel Tadesse Degefa

“…Mathematical analysis of epidemics is crucial for long-term disease prediction and helps to guide decision-makers in terms of public health policy. …”
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Comparative Analysis of All-Sky Luminous Efficacy Models Based on Calculated and Measured Solar Radiation Data of Four Worldwide Cities by Donghyun Seo

“…It was found that all the evaluated models provide good predictions (over 0.96 R2 value) for both global and diffuse illuminance. …”
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Exploring resistance factors on the usage of hospital information systems from the perspective of the Markus’s Model and the Technology Acceptance Model by Çiğdem Sıcakyüz, Oya Hacire Yüregir

“…The overall percentage accuracy prediction was 55.3% for parameters of the initial model and 80.8% for the stepwise model after the third step. …”
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Epizootic situation on sheep pox and goat pox in Tajikistan in 2000–2021 by R. Atovullozoda

“…The obtained results confirming the methodological validity of the epizootic situation analysis carried out in 2016 and correctness of the developed models of potential sheep pox and goat pox nosoareals, can become the basis for epizootological prediction of infectious disease risk when the pathogen interacts with susceptible animal population in specific climatic, socio-economic, organizational and managemental conditions. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

“…This is evidenced by some models and algorithms with ≥90% prediction accuracy. From the literature, most of the proposed methods are trained and tested on pre-trained deep learning models like VGG16, VGG19, ResNet, Inception_V3, and ReNet. …”
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Roughness Variation Impact on the Morphological Evolution at the Medjerda River: Telemac 2D-Sisyphe Modeling by Hammami Saber, Romdhane Hela, Soualmia Amel, Kourta Azeddine

“…These findings contribute to understanding of sedimentation patterns in the Medjerda River and facilitated the prediction of potential impacts on its fluvial morphology.…”
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Future Changes in Surface Runoff over Korea Projected by a Regional Climate Model under A1B Scenario by Ji-Woo Lee, Suryun Ham, Song-You Hong, Kei Yoshimura, Minsu Joh

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Usage of Optimized Least Square SVR to Volume Expansion Estimation of Cement Paste Including Fly Ash and Mgo Expansive Additive by Mazharul Islam, Sadia Afrin

“…Accurate prediction models allow for better control of thermal stresses, reducing the risk of thermal cracking and extending the structure's lifespan.…”
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Fuzzy Comprehensive Evaluation Model of Project Investment Risk Based on Computer Vision Technology by Hongjian Wang

“…Then, this paper establishes a model of fuzzy comprehensive evaluation of project investment risk through computer vision technology, real-time embedded systems, and neural network models in big data and artificial intelligence technology to realize the analysis and prediction of project investment risk. The fuzzy comprehensive evaluation method and analytic hierarchy process (AHP) are used in this evaluation model to evaluate and forecast project investment risks. …”
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Design of an Evolutionary Approach for Intrusion Detection by Gulshan Kumar, Krishan Kumar

“…In the third phase, a combination method like majority voting method is used to fuse the predictions of individual solutions for determining prediction of ensemble solution. …”
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