DEVELOPMENT OF METHODOLOGY FOR DESIGNING TESTABLE COMPONENT STRUCTURE OF DISCIPLINARY COMPETENCE by Vladimir I. Freyman

“…Basic data and a detailed step-by-step implementation phase of the proposed common iterative approach to the development of disciplinary competence testable component structure are considered. …”
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Large language model guided automated reaction pathway exploration by Ruzhao Chen, Yubang Liu, Zhe Chen, Yinwu Li, Fuyi Yang, Jiaxin Lin, Zhuofeng Ke

“…This program integrates quantum mechanics and rule-based methodologies, underpinned by a Large Language Model-assisted chemical logic. Both active-learning methods in transition states sampling and parallel multi-step reaction searches with efficient filtering help enhance efficiency and accelerate PES searching. …”
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Relevance-Based Reconstruction Using an Empirical Mode Decomposition Informer for Lithium-Ion Battery Surface-Temperature Prediction by Chao Li, Yigang Kong, Changjiang Wang, Xueliang Wang, Min Wang, Yulong Wang

“…In multi-step predictions, when the prediction horizon is set to 12 steps, the model achieves a hit rate of 93.57% where the maximum absolute error is within 0.5 °C; under these conditions, the model combines high predictive accuracy with a broad predictive range, which is conducive to the effective prevention of thermal runaway in lithium-ion batteries.…”
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Event Knowledge Graph for a Knowledge-Based Design Process Model for Additive Manufacturing by Chen Guohui, Auwal Haruna, Chen Youze, Li Lunyong, Khandaker Noman, Yongbo Li, K. Eliker

“…Thus, this implements a step-by-step approach to process and resource specifications during the design stage. …”
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Research on the Optimization of the PID Control Method for an EOD Robotic Manipulator Using the PSO Algorithm for BP Neural Networks by Yunkang Zhou, Xiaohui He, Faming Shao, Xiangpo Zhang

“…Under the same step function conditions, the overshoot is only 1.37%, significantly lower than other methods, and the settling time is only 14 s. …”
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Academic performance of students in an accelerated medical pathway by Fei Chen, Katherine A. Jordan, Winston Li, Yee Lam, Luigi Pascarella, Catherine L. Coe

“…While FIRST program students scored slightly lower on Step 2 Clinical Knowledge (CK), they exhibited no significant differences in other exam scores or clinical performance relative to the traditional students. …”
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Constructing hidden differential equations using a data-driven approach with the alternating direction method of multipliers (ADMM) by Jye Ying Sia, Yong Kheng Goh, How Hui Liew, Yun Fah Chang

“…This data-driven approach provides insights and a step-by-step algorithm guide to allow more research opportunities to explore the possibility of representing any physical phenomenon with differential equations.…”
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Facial identity recognition using StyleGAN3 inversion and improved tiny YOLOv7 model by Akhil Kumar, Swarnava Bhattacharjee, Ambrish Kumar, Dushantha Nalin K. Jayakody

“…Leveraging the deep learning-based approaches, this work proposes a one-step solution for facial attribute manipulation and detection leading to facial identity recognition in few-shot and traditional scenarios. …”
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Spectral Feature Extraction Using Partial and General Method by Bin Jiang, Xi Fang, Yang Liu, Xingzhu Wang, Jie Liu

“…Feature extraction is a critical step which has a great impact on any classification result. …”
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A Variational-Mode-Decomposition-Cascaded Long Short-Term Memory with Attention Model for VIX Prediction by Do-Hyeon Kim, Dong-Jun Kim, Sun-Yong Choi

“…The primary objective is to enhance the predictive accuracy of the VIX, a key measure of market uncertainty, through advanced signal processing and deep learning techniques. VMD is employed as a preprocessing step to decompose financial time-series data into multiple Intrinsic Mode Functions (IMFs), effectively isolating short-term fluctuations from long-term trends. …”
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Family Adoption Program: An NMC-mandated Initiative by Hemangini Kishore Shah, Amrit Kaur Virk, Amol Dongre, Shib Shekhar Datta, Subodh S. Gupta

“…Additionally, it provides insights for scaling FAP nationally, positioning it as a transformative step towards cultivating compassionate, community-oriented healthcare professionals. …”
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UGC-Net: Uncertainty-Guided Cost Volume Optimization with Contextual Features for Satellite Stereo Matching by Wonje Jeong, Soon-Yong Park

“…However, the recent learning-based methods still struggle to effectively estimate disparity in the high ambiguity regions. …”
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Development of Clinical Reasoning and History-Taking Remediation Training by Mukadder İnci Başer Kolcu, Sebahat Ulusan, Giray Kolcu

“…The design of "remediation" training to compensate for "learning gaps", which may occur for various reasons in educational programs, is recommended. …”
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An Adaptive BiGRU-ASSA-iTransformer Method for Remaining Useful Life Prediction of Bearing in Aerospace Manufacturing by Youlong Lyu, Qingpeng Qiu, Ying Chu, Jie Zhang

“…This study introduces a novel model, BiGRU-ASSA-iTransformer, that integrates deep learning and handcrafted feature extraction to improve RUL prediction. …”
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Drug-target interaction prediction based on graph convolutional autoencoder with dynamic weighting residual GCN by Ming Zeng, Min Wang, Fuqiang Xie, Zhiwei Ji

“…Abstract Background The exploration of drug-target interactions (DTIs) is a critical step in drug discovery and drug repurposing. Recently, network-based methods have emerged as a prominent research area for predicting DTIs. …”
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Automated Dead Chicken Detection in Poultry Farms Using Knowledge Distillation and Vision Transformers by Ridip Khanal, Wenqin Wu, Joonwhoan Lee

“…This study presents an automated system that leverages CCTV footage to detect dead chickens, utilizing a two-step approach to improve detection accuracy and efficiency. …”
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Multimodal Brain Tumor Classification Using Convolutional Tumnet Architecture by M. Padma Usha, G. Kannan, M. Ramamoorthy

“…As a result, the medical plan may be a crucial step toward improving the well-being of a patient. …”
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A Classifier Based on K-Nearest Neighbors Using Weighted Summation of Reconstruction Errors by Rassoul Hajizadeh, Mohammad Ali Hosseinzadeh

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Integrating photovoice as an adjunct teaching modality in improving critical thinking disposition among Chinese nursing students in community health nursing: a mixed-methods study by Yayun Song, Huan Yang, Mengjiao Zhou, Dongyi Zhang, Jia Qu

“…Qualitative findings revealed four themes: holistic and effective learning, high engagement and a dynamic learning environment, in-depth community engagement and empathy, and enhancing critical thinking in community settings. …”
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Development of Teaching Modules Based on Technological Pedagogical Content Knowledge and Culturally Responsive Transformative Teaching on the Topic of Chemical Bonding by Irma Rahayu Lestari, Muntari Muntari, Mutiah Mutiah

“…It is a Research and Development (R&D) using the five-step Borg and Gall model. 36 students from class X at SMAN 1 Narmada participated in this study’s limited trial. …”
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