An online communicative translation assessment model in an Indonesian EFL translation class: Students’ perceptions by Soni Tantan Tandiana, Fuad Abdullah, Dede Anwar, Emmas Maspupah

“…The data were obtained from semi-structured interviews and analysed using a thematic analysis. …”
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Agentic Workflows for Improving Large Language Model Reasoning in Robotic Object-Centered Planning by Jesus Moncada-Ramirez, Jose-Luis Matez-Bandera, Javier Gonzalez-Jimenez, Jose-Raul Ruiz-Sarmiento

“…This can be addressed by employing agentic workflows, structured processes that guide and refine the model’s output to improve response quality. …”
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Biology exams rarely use visual models to engage higher-order cognitive skills. by Crystal Uminski, Christian Cammarota, Brian A Couch, L Kate Wright, Dina L Newman

“…Accurately interpreting the biological information conveyed by the shapes and symbols in these visual models requires engaging visual literacy skills. …”
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Research on high-altitude avalanche susceptibility area zoning based on informativeness modeling in the Duoxiong River Basin, Nyingchi area of Xizang Autonomous Region by Pingping ZHANG, Bin LI, Haoyuan GAO, Jiawei WAN

“…The results show that the AUC value of the avalanche susceptibility evaluation model is 0.835, indicating good predictive accuracy. …”
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A distinct look at a transcendental phenomenon: the grounded theory model of leader humour by Mohammad Gholami, Fariborz Rahimnia, Gholamreza Malekzadeh, Alireza Khorakian

“…Data were collected from 18 Iranian university professors, selected via purposive sampling until theoretical saturation was reached. Semi-structured interviews were conducted, and data were analysed using MAXQDA2020 software to facilitate the coding process. …”
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A genotype-to-drug diffusion model for generation of tailored anti-cancer small molecules by Hyunho Kim, Bongsung Bae, Minsu Park, Yewon Shin, Trey Ideker, Hojung Nam

“…The model outperforms existing methods in diversity, feasibility, and condition fitness. …”
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Effective factors on the Fintech business models in the electronic payment: A DEMATEL-ISM-ANP approach by Nasser Safaie, Aida Eslami, Majid Mirzaee Ghazani

“…To analyze the identified factors affecting the design of fintech in electronic payment, the indicators were examined in terms of influence and effectiveness by the DEMATEL method, then the levels of influence and effectiveness of the factors were investigated using the interpretive structural modeling method. Finally, the network analysis method was used to prioritize the factors. …”
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Tectonophysical approach to the analysis of geological and geophysical data on gas-condensate deposits with the complex platform cover by K. Zh. Seminsky, V. A. Sankov, V. V. Ogibenin, Yu. P. Burzunova, A. I. Miroshnichenko, E. A. Gorbunova, I. V. Gorlov, A. S. Smirnov, A. G. Vakhromeev, I. V. Buddo

“…The next objective is to enhance the tectonophysical approach in order to develop a hierarchical model of the GCF zone-block structure, which details need to be known for improving the prediction of sites with the complicated stress-strain state of rocks and mitigating the risks associated with drilling exploration and production wells.…”
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Deep learning for enhanced prediction of diabetic retinopathy: a comparative study on the diabetes complications data set by Weijun Gong, You Pu, Tiao Ning, Yan Zhu, Gui Mu, Jing Li

“…BackgroundDiabetic retinopathy (DR) screening faces critical challenges in early detection due to its asymptomatic onset and the limitations of conventional prediction models. While existing studies predominantly focus on image-based AI diagnosis, there is a pressing need for accurate risk prediction using structured clinical data. …”
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Quantifying the regulatory potential of genetic variants via a hybrid sequence-oriented model with SVEN by Yu Wang, Nan Liang, Ge Gao

“…We further systematically screen a large-scale structural variants dataset derived from 3622 individuals and clinical structural variants from ClinVar, and provide an overview of transcriptomic impacts of structural variants in population. …”
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Validation of a teaching model instrument for university education in Ecuador through an artificial intelligence algorithm by Jenniffer Sobeida Moreira-Choez, Tibisay Milene Lamus de Rodríguez, Aracelly Fernanda Núñez-Naranjo, Ángel Ramón Sabando-García, María Belén Reinoso-Ávalos, Cynthia Michel Olguín-Martínez, Daniel Omar Nieves-Lizárraga, Julieta Elizabeth Salazar-Echeagaray

“…A quantitative methodology was adopted, employing multivariate statistical analyses and structural equation modeling (SEM) to examine the internal consistency, construct validity, and interrelations among various didactic dimensions. …”
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Intelligent voice assistant as an example of inclusive design methodology implementation by A. A. Zakharov, I. G. Zakharova, A. M. Shabalin, Sh. I. Khanbekov, D. B. Dzhalilzoda

“…The authors have shown that this can be achieved through a conceptually based content structure and initially provided feedback. This approach has proven to be effective in designing an intelligent voice assistant to answer student questions and to automatically perform operations on a computer.Practical significance. …”
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Hybrid Machine Learning Model for Predicting the Fatigue Life of Plain Concrete Under Cyclic Compression by Lucas Rodrigues Lunardi, Paulo Guilherme Cornélio, Lisiane Pereira Prado, Caio Gorla Nogueira, Emerson Felipe Felix

“…SHAP analysis validated the model’s interpretability and emphasized the necessity of accounting for loading frequency. …”
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Digitized material design and performance prediction driven by high-throughput computing by Hanhui Li, Jiao Yang, Jingxu Yao, Jingxu Yao, Chuanxin Sheng

“…Our approach consists of three major components: a graph-embedded material property prediction model that integrates multi-modal data for structure–property mapping, a generative model for structure exploration using reinforcement learning, and a physics-guided constraint mechanism that ensures realistic and reliable material designs.ResultsBy embedding domain-specific priors into a deep learning framework, our method significantly improves prediction accuracy while maintaining physical interpretability. …”
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Multi-trait phenotypic modeling through factor analysis and bayesian network learning to develop latent reproductive, body conformational, and carcass-associated traits in admixed... by Muhammad Anas, Bin Zhao, Bin Zhao, Haipeng Yu, Carl R. Dahlen, Kendall C. Swanson, Kris A. Ringwall, Lauren L. Hulsman Hanna

“…When using gEBV, the causal network structure inferred showed BS contributed to BC in Model 1 and to Ovary Size in Model 2. …”
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Model Hubungan Antar Pemangku Kepentingan dalam Koordinasi Penanganan Bencana di Kota Padang by Dicky Fatrias, Ringga Sri Rahayu Agustia

“…Finally, the role of each stakeholder was then identified and charted using the interpretive structural model (ISM). The proposed relationship model in disaster management coordination in Padang City consists of two levels. …”
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Language Objectification of the Conceptual Field “Grekh” (“Sin”) in the Models of Russian Non-Usual Word-Formation by V. V. Saygin

“…We used the method of structural-semantic analysis of units of the word-formation system of a language and the method of linguo-culturological interpretation of active processes in the Russian language of the latest period. …”
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Magnetic effects of disjunctive thin layers in 2D forward models and their equivalent magnetic sources by Petar Stavrev, Petya Trifonova, Metodi Metodiev

“…Analysis and solution of the forward magnetic problem for models of disjunctive layered geological structures, such as faults and layer discontinuities, are developed in this paper. …”
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An Optimized GWO-BPNN Model for Predicting Corrosion Fatigue Performance of Stay Cables in Coastal Environments by Liping Zhou, Guowen Yao

“…Sensitivity analysis identifies stress range, average stress, and mass loss as primary determinants of fatigue life, highlighting the dominant influence of corrosion and stress factors on structural degradation. These results confirm the model’s interpretability and practical utility in pinpointing key factors that impact fatigue life. …”
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Electronic threshold switching of As-embedded SiO2 selectors: charged oxygen vacancy model by Hye Rim Kim, Tae Jun Seok, Tae Jung Ha, Jeong Hwan Song, Kyun Seong Dae, Sang Gil Lee, Hyun Seung Choi, Su Yong Park, Byung Joon Choi, Jae Hyuck Jang, Soo Gil Kim, Tae Joo Park

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