APPLICATION OF GRAFTSKIN TO ACCELERATE HEALING OF ULCERS IN DIABETIC FOOT SYNDROME by M. A. Binienko, A. A. Kotslova, V. V. Davydenko, T. D. Vlasov

“…This study aimed to evaluate the possibility of accelerating of wound healing in DFS by using the dermal equivalent (graftskin) and determine the safety of the method, factors and indications for its application. …”
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An Optimised CNN Hardware Accelerator Applicable to IoT End Nodes for Disruptive Healthcare by Arfan Ghani, Akinyemi Aina, Chan Hwang See

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“An Effective Solution to Accelerate the Healing of Complex Ulcers Using Recombinant Human Epidermal Growth Factor (Intralesional Application): A Review” by Cacua Sánchez MT, Carillo Bravo CA

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Accelerated unconstrained latent factorization of tensor model for Web service QoS estimation by Mingwei LIN, Wenqiang LI, Xiuqin XU, Jian LIU

“…Aiming at the problem that the Web service quality of service (QoS) estimation methods based on the non-negative latent factorization of tensor model (NLFT) depend heavily on non-negative initial random data and specially designed non-negative training schemes, which lead to low compatibility and scalability, an accelerated unconstrained latent factorization of tensor (AULFT) model was proposed.The proposed model consisted of three main parts.The non-negative constraints from decision parameters were transferred to output latent factors and they were connected through the single-element-dependent mapping function.A momentum-incorporated stochastic gradient descent (MSGD) algorithm was used to effectively improve the convergence rate and estimation accuracy of the proposed AULFT model.The detailed algorithm and result analysis of the proposed AULFT model were presented.The empirical study on two dynamic QoS datasets in real industrial applications demonstrates that the proposed AULFT model has higher computational efficiency and estimation accuracy than the state-of-the-art QoS estimation models.…”
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Accelerated Tensor Robust Principal Component Analysis via Factorized Tensor Norm Minimization by Geunseop Lee

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Bayesian network based probabilistic approach for uncertainty analysis of earthquake induced landslides by Tanmoy Das, Deepankar Choudhury

“…To demonstrate the practical applicability of the proposed framework, a case study of earthquake-induced landslides was taken to estimate the factors of safety and permanent displacement probabilistically. …”
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Fast MRI Techniques of the Liver and Pancreaticobiliary Tract: Overview and Application by Bohyun Kim, So Hyun Park, Moon Hyung Choi

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Battery Powered Edge Computing Acceleration for Smart Agriculture Applications: A Use Case for Resonant Ultrasound Spectroscopy by Zilvinas Nakutis, Paulius Tervydis, Linas Svilainis, Alberto Rodriguez-Martinez

“…This paper explores the application of edge computing acceleration for smart agriculture, focusing on the use case of resonant ultrasound spectroscopy (RUS) for grape leaf analysis and monitoring. …”
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Anti-Virulence Properties of Curcumin/CuO-NPs and Their Role in Accelerating Wound Healing In Vivo by Amr M. Shehabeldine, Bahaa M. Badr, Fathy M. Elkady, Toru Watanabe, Mostafa A. Abdel-Maksoud, Abdulaziz M. Alamri, Salman Alrokayan, Amer M. Abdelaziz

“…The study aims to evaluate their antimicrobial efficacy, impact on quorum sensing-associated virulence factors, and potential therapeutic applications in wound healing. …”
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Statistical Analysis on Time to Blindness of Glaucoma Patients at Jimma University Specialized Hospital: Application of Accelerated Failure Time Model by Meseret Mesfin Bambo, Meskerem Getachew Gebremariam

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Development of a New Type of Alkali-Free Liquid Accelerator for Wet Shotcrete in Coal Mine and Its Engineering Application by Gang Zhou, Weimin Cheng, Sen Cao

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Reliability assessment model for multiple stress factors accelerated degradation test using a Wiener process with random effects. by Qianqian Huang, Jiayin Tang, Xuefeng Feng

“…In practical applications, products are usually exposed to multiple stress factors (including environmental stresses and operating stresses) simultaneously. …”
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Consideration of Statistical Approaches Within the Accelerated Assessment of Fatigue Properties of Metallic Materials by Fabian Weber, Aline Wagner, Janina Koziol, Felix Weber, Christoph Broeckmann, Peter Starke

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An investigation into the applicability of rapid artificial intelligence‐assisted compressed sensing in brain magnetic resonance imaging performed at 5 Tesla field strength by Liqiang Zhou, Jiaqi Wang

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Optimization of the acceleration of compressed sensing in whole-heart contrast-free coronary magnetic resonance angiography by Weiwei Wang, Longyan Zhang, Guangzong Su, Feng Xiong, Yang Wu, Ke Yu, Qiaodan Yi, Peng Sun

“…ABSTRACT: Background: This study aims to identify optimal acceleration factors (AFs) for compressed sensing (CS) technology to enhance its clinical application for suspected coronary artery disease (CAD) in whole-heart non-contrast coronary magnetic resonance angiography (CMRA). …”
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Shear Particle Acceleration in Structured Gamma-Ray Burst Jets. II. Viewing Angle Effect on the Prompt Emission and Application to GRB 170817A by Zi-Qi Wang, Xiao-Li Huang, En-Wei Liang

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KPIs for Digital Accelerators: A Critical Review by Nuno J. P. Rodrigues

“…This paper proposes a conceptual framework for studying the KPIs of digital accelerators. Therefore, a critical review was developed and we derived clear recommendations in terms of KPIs that researchers must consider when evaluating digital accelerators applicable to startups. …”
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Effect of plasma treatment on accelerated PLA degradation by A. Antunes, A. S. Luyt, P. Kasak, O. Aljarod, M. K. Hassan, A. Popelka

“…However, the long-term associated degradation process of PLA is a limiting factor for some applications. Therefore, in this research, the influence of corona and radio-frequency (RF) surface plasma treatment on the degradation of PLA in accelerated weathering tests was studied. …”
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Application of HPTLC with Densitometry for Evaluation of the Impact of External Factors on Contents of Diphenhydramine in Its Solutions by Katarzyna Bober

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Application of binary logistic regression analysis to factors that influence participation in the 2024 presidential election by Kurnia Ahadiyah, Ardiana Fatma Dewi, Shinta Hircatanu Romadewanti

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