Advancing the accuracy of clathrin protein prediction through multi-source protein language models by Watshara Shoombuatong, Nalini Schaduangrat, Pakpoom Mookdarsanit, Jaru Nikom, Lawankorn Mookdarsanit

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Computed Tomography-Based Radiomics Diagnostic Model for Fat-Poor Small Renal Tumor Subtypes by Seokhwan Bang, Heehwan Wang, Hoyoung Bae, Sung-Hoo Hong, Jiook Cha, Moon Hyung Choi

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MicroCrystalNet: An Efficient and Explainable Convolutional Neural Network for Microcrystal Classification Using Scanning Electron Microscope Petrography by Mohammed Yaqoob, Mohammed Yusuf Ansari, Mohammed Ishaq, Issac Sujay Anand John Jayachandran, Mohammed S. Hashim, Thomas Daniel Seers

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Contribution of displacement, duration, and velocity on auditory motion direction perception in macaque monkeys by Adriana M. Schoenhaut, Ramnarayan Ramachandran, Mark T. Wallace

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Development of a consumer-driven chocolate milk sensory ballot for use in the dairy industry by A. Stelick, R. Dando, M. Wiedmann, Nicole Martin

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Indonesian Banking Stock Portfolio Optimization Based on Ridge Regression Prediction by Moch Panji Agung Saputra, Deva Putra Setyawan, Alim Jaizul Wahid

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Uranium tailings in the Istiqlol city: history, problems, solutions by N. U. Khakimova, M. A. Zoitova

“…Implementation of the Program requires significant financial investments and trained personals in the field of radiation safety. …”
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AutoTarget: Disease-Associated druggable target identification via node representation learning in PPI networks by Hyunseung Kong, Inyoung Kim, Byoung-Tak Zhang

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Feasibility in Using Technological Resources for Implementing the Environmental Culture Cross-Cutting Factor for Sustainable Development in the Costa Rican Basic General Education by Lorna Matarrita-Román, Jessica Serrano-Calvo, María Isabel Torres-Salas, Giselle León-León

“…The purpose of this research was to analyze whether the use of technological resources may be feasible in the implementation of the environmental culture cross-cutting factor for sustainable development, which focuses on environmental issues related to the contents of the Science study program for the seventh year of the basic general education. …”
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Perspectives of graduate student teaching assistants on value and meaning in their role by Natalie Elena Westwood, Diane S. Srivastava

“…Generally, GTAs found the experience to be an important and positive aspect of their graduate program, intentionally using the experience to explore potential career paths and find belonging in the wider academic community. …”
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kMoL: an open-source machine and federated learning library for drug discovery by Romeo Cozac, Haris Hasic, Jun Jin Choong, Vincent Richard, Loic Beheshti, Cyrille Froehlich, Takuto Koyama, Shigeyuki Matsumoto, Ryosuke Kojima, Hiroaki Iwata, Aki Hasegawa, Takao Otsuka, Yasushi Okuno

“…It demonstrates extensive customization possibilities, advanced security features, straightforward implementation of user-specific models, and high adaptability to custom datasets without additional programming requirements. kMoL is evaluated through locally trained benchmark settings and distributed federated learning experiments using various datasets to assess the features and flexibility of the library, as well as the ability to facilitate fast and practical experimentation. …”
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Dynamic Origin-Destination Matrix Estimation Based on Urban Rail Transit AFC Data: Deep Optimization Framework with Forward Passing and Backpropagation Techniques by Yuedi Yang, Jun Liu, Pan Shang, Xinyue Xu, Xuchao Chen

“…We propose a nonlinear programming model to predict the dynamic OD matrix based on historic automatic fare collection (AFC) data. …”
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Artificial Neural Network (ANN) Modeling of Plasma and Ultrasound-assisted Air Drying of Cumin Seeds by M. Namjoo, M. Moradi, M. A. Nematollahi, H. Golbakhshi

“…According to the results, the WNN model with an average correlation coefficient of R2 > 0.92 for the train data set, and R2 > 0.83 for the test data set provided the most beneficial tool for evaluating the drying process of cumin seeds.…”
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Perception of Feedback and Autonomy Among Gynecology Residents During In-Person Versus Telemedicine Clinic by Kelsi Chan, Holly Olson, Melissa Natavio, Paris N. Stowers

“…This shift away from in-person clinics may impact the experience of medical learners and the preceptors who train them. This study aimed to measure and compare obstetrics and gynecology resident physicians’ perceived quality of educational feedback during telemedicine compared to in-person clinical encounters. …”
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Enhanced Mobility Aid for the Visually Impaired by Shahzor Memon, Mirza Muhammad Aamir, Sadiq Ur Rehman, Halar Mustafa, Muhammad Shakir Sheikh

“…The system was conceived and programmed in C, tested for accuracy, and checked by a visually challenged individual. …”
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Personalized and Timely Feedback in Online Education: Enhancing Learning with Deep Learning and Large Language Models by Óscar Cuéllar, Manuel Contero, Mauricio Hincapié

“…This study investigates an Adaptive Feedback System (AFS) that integrates deep learning (a recurrent neural network trained with historical student data) and GPT-4 to provide personalized feedback in a Digital Art course. …”
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Riesgo público: un factor de riesgo presente en las organizaciones. by Blanca Johanna Pérez Fernández, Martha Lucia Vargas Villamizar

“…Employees are not adequately trained on the issue of public risk. Although most claim to feel safe in their jobs, situations related to this factor have frequently arisen, such as verbal violence, physical aggression, and threats from the community residing or visiting the properties. …”
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Machine Learning-Based Modeling with Optimization Algorithm for Predicting Mechanical Properties of Sustainable Concrete by Muhammad Izhar Shah, Shazim Ali Memon, Muhammad Sohaib Khan Niazi, Muhammad Nasir Amin, Fahid Aslam, Muhammad Faisal Javed

“…In this research, multiexpression programming (MEP) has been employed to model the compressive strength, splitting tensile strength, and flexural strength of waste sugarcane bagasse ash (SCBA) concrete. …”
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THE EFFECT OF TWO DIFFERENT CONDITIONS OF WHOLE-BODY VIBRATION ON FLEXIBILITY AND JUMPING PERFORMANCE ON ARTISTIC GYMNASTS by George Dallas, Paschalis Kirialanis

“… The purpose of this study was to examine the effect of different conditions of Whole Bode Vibration (WBV) on flexibility and jumping performance on artistic gymnasts. Twelve well trained gymnasts volunteered to participate in this study. …”
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Modeling the number of tourist arrivals in the United States employing deep learning networks by Cagatay Tuncsiper

“…Then, the deep learning network is trained using the 70% of the available data while the remaining 30% is considered as the test data. …”
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