Intelligent deep learning model for targeted cancer drug delivery by Islam R. Kamal, Saied M. Abd El-atty, S. F. El-Zoghdy, Randa F. Soliman

“…This paper proposes a multi-compartmental model with an AI bio-cyber interface based on molecular communication technology. …”
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A machine learning-powered energy consumption prediction system with API by Toyeeb Adekunle Abd’Azeez, Lanre Olatomiwa

“…This optimised model was integrated into a web application with an interactive user interface. The application programming interface (API) enabled users to make informed decisions about energy consumption, leading to potential energy savings and reduced environmental impact. …”
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Reporting Together: Transactional Sociability, Digital Communities and Alternate Embodiments on the Road through the Use of Waze by Regner Ramos

“…Collecting its data through a series of interviews with users as well as personal analyses, this paper aims to critically address how through its interface Waze: a) contests notions of “community” among a group of drivers on the road, b) creates transactional collaborations between Wazers, and c) sets up a digital space where users perform and move in relation to each other. …”
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Simulation of the Uniaxial Mechanical Properties and Crack Evolution of Coal Pillar-Artificial Dam in Abandoned Mines by Xin Lyu, Ke Yang, Juejing Fang, Minke Duan, Jinzhou Tang

“…Based on the analysis of the force state of coal pillar-artificial dams, the influence of the interface angle was analyzed. Seven sets of coal pillar-artificial dam specimens were prepared and a PFC3D numerical model was constructed to carry out the uniaxial compression test without lateral pressure. …”
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SnugDock: paratope structural optimization during antibody-antigen docking compensates for errors in antibody homology models. by Aroop Sircar, Jeffrey J Gray

“…The combined algorithm produced four medium (Critical Assessment of PRediction of Interactions-CAPRI rating) and seven acceptable lowest-interface-energy predictions in a test set of fifteen complexes. …”
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Performance Comparison of 10 State-of-the-Art Machine Learning Algorithms for Outcome Prediction Modeling of Radiation-Induced Toxicity by Ramon M. Salazar, PhD, Saurabh S. Nair, MS, Alexandra O. Leone, MBS, Ting Xu, PhD, Raymond P. Mumme, BS, Jack D. Duryea, BA, Brian De, MD, Kelsey L. Corrigan, MD, Michael K. Rooney, MD, Matthew S. Ning, MD, Prajnan Das, MD, Emma B. Holliday, MD, Zhongxing Liao, MD, Laurence E. Court, PhD, Joshua S. Niedzielski, PhD

“…The graphical user interface created for this study automatically compares the performance of these 11 algorithms for any data set.…”
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Using a web-based application to define the accuracy of diagnostic tests when the gold standard is imperfect. by Cherry Lim, Prapass Wannapinij, Lisa White, Nicholas P J Day, Ben S Cooper, Sharon J Peacock, Direk Limmathurotsakul

“…With the advanced interfaces, experienced researchers can modify all settings in the models as needed. …”
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Development of a Comprehensive Decision Support Tool for Chemotherapy-Cycle Prescribing: Initial Usability Study by Sanna Iivanainen, Reetta Arokoski, Santeri Mentu, Laura Lang, Jussi Ekström, Henri Virtanen, Vesa Kataja, Jussi Pekka Koivunen

“…A decision support tool that included digital symptom monitoring, a laboratory value interface, and treatment schedule integration for semiautomated chemotherapy cycle prescribing was integrated into the care pathway. …”
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Predicting 30-day survival after in-hospital cardiac arrest: a nationwide cohort study using machine learning and SHAP analysis by Truls Råmunddal, Mats Borjesson, Erik Andersson, Per Nordberg, Kristofer Skoglund, Johan Herlitz, Araz Rawshani, Therese Djärv, Aidin Rawshani, Peter Lundgren, Antros Louca, Vibha Gupta, Joakim Sundström, Carl Magnusson

“…This model has strong clinical utility and can be externally validated via the open-access Application Programming Interface (API) at www.gocares.se…”
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Acoustic emission approach to optimize friction stir additive manufacturing process for magnesium alloy ZE41 by Divya Zindani, Divya Zindani, A. K. Lakshminarayanan, A. K. Lakshminarayanan, A. Joshua, A. Joshua, Robert Čep, K. Logesh

“…Among the FSAM process parameters, tool overrun—the distance the tool travels beyond the joint interface—plays a critical role in influencing joint integrity and overall performance. …”
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Feasibility and challenges in sustaining a community based surveillance system in post-Ebola Sierra Leone by Christina Mergenthaler, Ankie van den Broek, Noor Tromp, Kimberly Nehal, Jip Janssen, Shiyong Wang, T. T. Samba, Mohammed Vandhi, Alpha Augustin Kombo, Osman Sankoh, M. Koblo Kamara, Mirjam I. Bakker

“…Abstract Background In outbreak-prone settings, community-based surveillance (CBS) systems can alert health authorities to respond in a timely manner where suspected cases of disease are being reported. …”
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Investigation on the early pressure load characteristics of bubbles in near-field underwater explosion with condensed-phase CL-20 explosive detonation by Yi Hao, Zhenxin Sheng, Bo Yan, Teng Xie, Lunping Zhang, Haibin Mao, Jun Yu

“…We use a compressible multiphase fluid solver with high-order finite difference schemes, including fifth-order weighted essentially non-oscillatory for spatial and third-order total variation diminishing Runge–Kutta for temporal discretization. The level-set method and modified ghost fluid method accurately capture multiphase interface dynamics. …”
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Enhancement of joint quality for laser welded dissimilar material cell-to-busbar joints using meta model-based multi-objective optimization by Andreas Andersson Lassila, Tobias Andersson, Rohollah Ghasemi, Dan Lönn

“…Artificial neural network-based meta models, trained on numerical results from computational fluid dynamics simulations of the laser welding process, are used to predict and evaluate the joint quality. A set of optimized process parameters is identified, in order to simultaneously maximize the interface width for the joints, and minimize the formation of undercuts and in-process temperatures. …”
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Modeling physiological and perceived responses in remote collaborative virtual environments: A comparative study of HMD and desktop platforms by Allison Bayro, Yalda Ghasemi, Ting Dai, Heejin Jeong

“…The nuanced interplay of reduced cognitive strain with heightened arousal in HMD contexts suggests the immersive attributes of such interfaces. These findings underscore the significant implications of virtual reality (VR) in collaborative settings, emphasizing how interfaces shape perceived workload and arousal, thus advancing discussions on future VR collaborative solutions.…”
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Modeling of Thermal Conductivity in a Medium with Phase Transition with a Moving Boundary of Phase Change by Mizonov V.E., Tikhonov A.I., Basova E.V., Mitrofanov A.V.

“…This work is devoted to the theoretical study of the effect of the phase interface motion on thermal conductivity in a liquid-solid nonlinear medium with a phase transition. …”
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Bridging the gap between haptic devices and cobots with highly geared magnetorheological actuators by Jean-Sébastien Plante, Alexandre St-Jean, Jean-Philippe Lucking Bigué

“…The results demonstrate that the fluidic interface of MR actuators resolves two major conflicts. …”
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Penetrógrafo eletrônico automático Automatic electronic recording penetrometer by Aloísio Bianchini, João C. de S. Maia, Paulo S. G. Magalhães, Nelson Cappelli, Cláudio K. Umezu

“…The maximum working depth may be set and the load cell calibration can be verified through a keyboard with 2 lines display. …”
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visPIG--a web tool for producing multi-region, multi-track, multi-scale plots of genetic data. by Matthew Scales, Roland Jäger, Gabriele Migliorini, Richard S Houlston, Marc Y R Henrion

“…The visPIG web application is a menu-based interface that allows users to upload custom data tracks and set track-specific parameters. …”
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Resistência adesiva à microtração ao esmalte de um adesivo auto-condicionante simplifi cado: infl uência de múltiplas camadas by Fabricio Mezzomo Collares, Vicente Castelo Branco Leitune, Fabrício Aulo Ogliari, Eduardo Schwartzer, Carmen Beatriz Borges Fortes, Susana Maria Werner Samuel

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MetaboLabPy—An Open-Source Software Package for Metabolomics NMR Data Processing and Metabolic Tracer Data Analysis by Christian Ludwig

“…<b>Introduction:</b> NMR spectroscopy is a powerful technique for studying metabolism, either in metabolomics settings or through tracing with stable isotope-enriched metabolic precursors. …”
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