A DFT study on the interaction of alprazolam with fullerene (C20) by Mohammad Reza Jalali Sarvestani, Soma Majedi

“…In this paper, the detection of alprazolam by fullerene (C20) was studied by infra-red (IR), frontier molecular orbital (FMO) and natural bond orbital (NBO) computations. All of the computations were done by density functional theory method in the B3LYP/6-31G (d) level of theory. …”
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Stress–strain curve predictions by crystal plasticity simulations and machine learning by Dmitry S. Bulgarevich, Makoto Watanabe

“…However, even with a well-fitted model, simulations with different RVEs or temperatures, for example, are too time-consuming and computationally intensive. In recent years, several attempts were directed towards the SSC predictions with machine learning (ML) tools to speed up this process. …”
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The Effect of Illumination on HSV Colour Segmentation for Ripe Tomatoes based on Machine Vision by Balint Ambrus, Anikó Nyéki, Gergely Teschner, László Moldvai

“…In agriculture, computer vision and image processing are essential for monitoring crops and controlling robots and actuators. …”
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Chaperone-Driven Entropic Separation of Amyloid Nanofilament Bundles by Jose M. G. Vilar, J. Miguel Rubi, Leonor Saiz

“…Here, we develop a coarse-grained computational approach from the atomistic structural information and show that the interactions of molecules tethered to fibrils lead to entropic forces consistent with the unbundling process observed in amyloid α-synuclein disaggregation by Hsp70. …”
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Model-Based Adaptive Iterative Hard Thresholding Compressive Sensing in Sensor Network for Volcanic Earthquake Detection by Guojin Liu, Qian Zhang, Yuyuan Yang, Zhenzhi Yin, Bin Zhu

“…Firstly, a sparse measurement matrix with theoretical analysis of its restricted isometry property (RIP) is designed to simplify the acquisition process, thereby reducing required storage space and computational demands in sensors. …”
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Non-contact tracking of shoulder bones using ultrasound and stereophotogrammetry by Ahmed Sewify, Ahmed Sewify, Maxence Lavaill, Maxence Lavaill, Dermot O’Rourke, Dermot O’Rourke, Maria Antico, Maria Antico, Peter Pivonka, Peter Pivonka, Davide Fontanarosa, Davide Fontanarosa, Saulo Martelli, Saulo Martelli

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FORMATION OF INFORMATION CULTURE IN STUDENTS OF ENGINEERING AND PEDAGOGICAL AREAS OF EXPERTISE DURING THEIR VOCATIONAL TRAINING by Sliusarenko Mykola, Filatov Sergiy

“…It has been emphasized that the process of shaping the information culture in students of engineering and pedagogical specialities is an integral part of their professional training, conducted based on comprehensive and interdisciplinary approaches. …”
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Reform of the Vatican media, a difficult search for a new path by Leszek Gęsiak

“…For several years the Vatican has initiated a process of preparation for a general reform of its media institutions. …”
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Improved Deep Reinforcement Learning with Logistic Map for Microgrid Energy Management by Kaewdornhan Niphon, Chatthaworn Rongrit

“…However, the structure of the DDPG agent, which uses neural networks with many hyperparameters, often leads to non-convergence and high computational burdens during the training process. To address these issues, DDPG is improved by assisting a Logistic Map (LM) which is proposed in this work. …”
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Progress in the Development of Flexible Devices Utilizing Protein Nanomaterials by Chunhong Zhang, Chenxi Zhang, Yongchun Liu

“…These features significantly expand the scope of electronic devices and demonstrate their unique value in various fields, including smart wearable devices, medical and health monitoring, human–computer interaction, and brain–computer interfaces. …”
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Do tablets cure the pedagogy headache? by Paul Hopkins

“…Traxler defines mobile learning as “an educational process, in which handheld devices or palmtops are the only or dominant used technology tools” (2007: 2) and Kearney et al. (2012) argue that it has the potential to revolutionise the learning process in allowing individuals to determine their own independent paradigms and frameworks of learning. …”
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Evaluation of Machine Learning Models for Enhancing Sustainability in Additive Manufacturing by Waqar Shehbaz, Qingjin Peng

“…This research offers a scalable and computationally efficient approach to enhancing sustainability in AM processes and contributes to data-driven decision-making in sustainable manufacturing.…”
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Blockchain based intelligent disbursement in National Scholarship Portal by Lifna Challissery Samu, Neelkanth Khithani, Kushl Alve, Vedang Gambhire, Atharva Hande, Shivam Choubey

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CFD modelling and simulation of anaerobic digestion reactors for energy generation from organic wastes: A comprehensive review by Muhammad Usman Farid, Indiana A. Olbert, Andreas Bück, Abdul Ghafoor, Guangxue Wu

“…Biogas is produced as a by-product of this process which is considered as a clean energy resource. …”
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Automatic Grading for Complex Multifile Programs by Tiantian Wang, Djoko Budi Santoso, Kechao Wang, Xiaohong Su

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Anomalous Propagation Echo Classification of Imbalanced Radar Data with Support Vector Machine by Hansoo Lee, Eun Kyeong Kim, Sungshin Kim

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Sign Language Recognition—Dataset Cleaning for Robust Word Classification in a Landmark-Based Approach by Pawel Antonowicz, David Kasperek, Michal Podpora

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Design and Build an Assessment Platform by Inserting Moodle-Based Cryptographic Methods by Deden Pradeka, Anugrah Adiwilaga, Devi Aprianti Rimadhani Agustini, Adi Suheryadi, Rizki Nuriman

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Federated learning assisted distributed energy optimization by Yuhan Du, Nuno Mendes, Simin Rasouli, Javad Mohammadi, Pedro Moura

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SPARC: A Human-in-the-Loop Framework for Learning and Explaining Spatial Concepts by Brendan Young, Derek T. Anderson, James Keller, Frederick Petry, Chris J. Michael

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