The Design and Development of an Atraumatic Soft Robotic Surgical Retractor by Gavril Yong En Tan, Shaun Mahesh Buxani, Benjamin Wee Keong Ang, Chao Yu Chen, Raye Chen Hua Yeow, Hung Leng Kaan

“…This paper introduces a novel soft robotic surgical retractor system, designed to overcome the limitations of traditional surgical retractors through the integration of soft robotics. …”
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Harnessing Meta-Reinforcement Learning for Enhanced Tracking in Geofencing Systems by Alireza Famili, Shihua Sun, Tolga Atalay, Angelos Stavrou

“…Leveraging the advantages of 5G technology, including its large bandwidth and extensive accessibility, presents a promising solution to enhance geofencing performance. In this paper, we introduce MetaFence: Meta-Reinforcement Learning for Geofencing Enhancement, a novel approach for precise geofencing utilizing indoor 5G small cells, termed “5G Points”, which are optimally deployed using a meta-reinforcement learning (meta-RL) framework. …”
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ANALYSIS OF THE APPLICATIONS OF THE DATA-DRIVEN APPROACH IN EVALUATING THE THERMAL-PHYSICAL PROPERTIES OF COMPOSITES by Ruslan Lavshchenko, Gennadiy Lvov

“…The function of computational tools and computer technology is elaborated upon, especially with the modeling of thermo-physical properties and the simulation of production processes for composite materials. This paper highlights the growing significance of these technologies in enhancing both theoretical and practical dimensions of material science. …”
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Characteristics of self-management among patients with complex health needs: a thematic analysis review by Catherine Hudon, Maud-Christine Chouinard, Annie-Pier Gobeil-Lavoie, Alya Danish

“…Consequently, the objective of this paper was to identify characteristics of self-management among patients with chronic diseases and complex healthcare needs.Design Thematic analysis review of the literature.Methods We developed search strategies for the MEDLINE and CINAHL databases, covering the January 2000–October 2018 period. …”
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Role of Mast Cells and Type 2 Innate Lymphoid (ILC2) Cells in Lung Transplantation by Esmaeil Mortaz, Saeede Amani, Sharon Mumby, Ian M. Adcock, Mehrnaz Movassaghi, Jelle Folkerts, Johan Garssen, Gert Folkerts

“…In addition, MCs can modulate alloreactive T cell responses or assist in T regulatory (Treg) cell activity. This paper outlines the current understanding of the role of MCs in lung transplantation, with a specific focus on their interaction with ILC2 cells within the engrafted organ.…”
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Methodological aspects of the application of audio-visual tools for learning a foreign language and translation at the university by Nina V. Popova, Maria M. Stepanova, Anna V. Kuzmina

“…The paper discusses the methodological aspects of audio-visual materials use in teaching students a foreign language and translation. …”
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An efficient binary spider wasp optimizer for multi-dimensional knapsack instances: experimental validation and analysis by Mohamed Abdel-Basset, Reda Mohamed, Karam M. Sallam, Ibrahim Alrashdi, Ibrahim A. Hameed

“…Abstract This paper presents a binary variant of the recently proposed spider wasp optimizer (SWO), namely BSWO, for accurately tackling the multidimensional knapsack problem (MKP), which is classified as an NP-hard optimization problem. …”
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Monacolin K as a Natural Alternative for Synthetic Statins by Julia Kozakiewicz, Aleksandra Okońska, Michał Ziemba, Kamil Kościelecki, Agnieszka Kalisz, Magdalena Krakowiak, Aleksandra Kaczmarek

“… Introduction: This review paper aims to verify the safety of monacolin K, examine the effect on blood cholesterol levels, discuss the contribution to the reduction of cardiovascular risk and indicate examples of pleiotropic effects of this substance. …”
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Predicting the Number of COVID-19 Sufferers in Malang City Using the Backpropagation Neural Network with the Fletcher–Reeves Method by Syaiful Anam, Mochamad Hakim Akbar Assidiq Maulana, Noor Hidayat, Indah Yanti, Zuraidah Fitriah, Dwi Mifta Mahanani

“…Based on this hypothesis, this paper proposes a prediction model for the number of COVID-19 sufferers in Malang using the Backpropagation neural network with the Fletcher–Reeves method. …”
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A Novel Case Base Reasoning and Frequent Pattern Based Decision Support System for Mitigating Software Risk Factors by Muhammad Asif, Jamil Ahmed

“…The information in the existing studies is scattered over different articles which makes it difficult to find relevant knowledge to establish relationship between risk factors and mitigations. This paper presents a novel model which identifies the relationship between risk factors and mitigations automatically by using intelligent Decision Support System (DSS). …”
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Robust self management classification via sparse representation based discriminative model for mild cognitive impairment associated with diabetes mellitus by Yun-xian Wang, Rong Lin, Hao Liang, Yuan-jiao Yan, Ji-xing Liang, Ming-feng Chen, Hong Li

“…A Sparse-representation-based Discriminative Classification model (SDC) is proposed in this paper to correctly classify MCI-DM patients based on their self-management ability. …”
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Experimental Evaluation Study on High Temperature Tolerance Foam for Profile Control of Steam Huff-n-Puff by Yang Liu, Xiao Yuan, Yu Bao

“…It is important to find an economical and efficient method to prevent steam channeling from happening at steam huff and puff production; thus, a DF-2 high temperature tolerance foam system is proposed to assist steam huff and puff production in this paper. Firstly, utilizing high-temperature aging tank and high-speed stirrer device, the foam quality of DF-2 foam and four kinds of other common industrial foams were evaluated and compared; this experiment result shows that the DF-2 foam has the best temperature tolerance. …”
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Interactive Visualization Tools for Managing the Monitoring System of the Piazza del Duomo UNESCO Site in Pisa by Laura Vignali, Giada Bartolini, Anna De Falco, Lorenzo Gianfranceschi, Massimiliano Martino, Federica Pucci, Carlo Resta

“…Advanced visualization tools are essential to provide adequate awareness of the monitoring systems installed over the years while guaranteeing a quick, basic analysis of their data. This paper addresses a crucial gap in structural health monitoring (SHM), particularly in managing complex structures and systems, by responding to the growing need for tools that not only represent 3D models enriched with heterogeneous data and metadata but also facilitate detailed analysis of sensor recordings. …”
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A globalizáció és a kohéziós politika hatása Magyarországon a 2014-2020-as időszakban (Globalisation and the Effect of the Cohesion Policy in Hungary in 2014-2020) by Csaba Sarido, Péter Bertalan

“…Priority is given to regional and municipal development, environmental and energy efficiency, traffic and human resource development. In the paper we deal with the changes and strategy of cohesion policy and the Széchenyi 2020 development plan. …”
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Discovery of Antimalarial Drugs from Streptomycetes Metabolites Using a Metabolomic Approach by Siti Junaidah Ahmad, Mohd Badrin Hanizam Abdul Rahim, Syarul Nataqain Baharum, Mohd Shukri Baba, Noraziah Mohamad Zin

“…The highly sensitive instruments, such as Liquid Chromatography-Mass Spectrophotometry (LC-MS), Gas Chromatography-Mass Spectrophotometry (GC-MS), and Nuclear Magnetic Resonance (1H-NMR) spectroscopy, provide a wide range of information in the identification of potentially bioactive compounds. The current paper reviews concepts of metabolomics and its application in drug discovery of malaria treatment as well as assessing the antimalarial activity from natural products. …”
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Antibiotic prophylaxis of acute postoperative endophthalmitis by V.P. Nikolaenko, D.F. Belov

“…Petersburg, Russian Federation</b> </p> <p> <i>This paper reviews current aspects of antibacterial prophylaxis of acute endophthalmitis, a dangerous complication of cataract surgery. …”
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Efficient Hardware Implementation of a Multi-Layer Gradient-Free Online-Trainable Spiking Neural Network on FPGA by Ali Mehrabi, Yeshwanth Bethi, Andre van Schaik, Andrew Wabnitz, Saeed Afshar

“…This paper presents an efficient hardware implementation of the recently proposed Optimised Deep Event-driven Spiking Neural Network Architecture (ODESA). …”
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Characterizing Extra Credit Accumulation by Undergraduate Students by Tushar Ojha, Don R. Hush

“…Thus, extra credits are decomposed into unusable and excess credits. This paper uses this decomposition to investigate (and quantify) numerous possible reasons for extra credit accumulation including transfer credit loss, program change, financial aid retention, hidden requirements, repeated classes, remedial classes, filler classes, and program requirement characteristics. …”
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Transfer Learning-Empowered Physical Layer Security in Aerial Reconfigurable Intelligent Surfaces-Based Mobile Networks by Yosefine Triwidyastuti, Tri Nhu Do, Ridho Hendra Yoga Perdana, Kyusung Shim, Beongku An

“…This paper investigates the enhancement of physical layer security (PHY security) in Reconfigurable Intelligent Surfaces (RIS)-aided terrestrial and non-terrestrial networks (TN/NTN), focusing on the challenges posed by node mobility. …”
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Nanodeserts: A Conjecture in Nanotechnology to Enhance Quasi-Photosynthetic CO2 Absorption by Wenfeng Wang, Xi Chen, Yifan Zhang, Jianjun Yu, Tianyi Ma, Zhihan Lv, Jing Zhang, Fanyu Zeng, Hui Zou

“…This paper advances “nanodeserts” as a conjecture on the possibility of developing the hierarchical structured polymeric nanomaterials for enhancing abiotic CO2 fixation in the soil-groundwater system beneath deserts (termed as quasi-photosynthetic CO2 absorption). …”
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