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38th Conference on Recent Developments in High Energy Physics and Cosmology, HEP 2021

作者： Canko, D.D. Kardos, A. Papadopoulos, C.G. Smirnov, A.V. Syrrakos, N. Wever, C. Institute of Nuclear and Particle Physics NCSR ‘Demokritos’ Agia Paraskevi15310 Greece Department of Physics University of Athens Zographou15784 Greece Physics Division National Technical University of Athens Athens15780 Greece University of Debrecen Faculty of Science and Technology Department of Experimental Physics PO Box 105 Debrecen4010 Hungary Research Computing Center Moscow State University Moscow119991 Russia Moscow Center for Fundamental and Applied Mathematics Moscow119992 Russia Physik-Department T31 Technische Universitat Munchen James-Franck Strasse 1 GarchingD-85748 Germany

We present recent results on two-loop five-point Feynman Integrals with one off-shell leg that are relevant to the study of many 2 → 3 scattering processes of interest at the LHC, especially for the leading-colour W + 2 jets production. The calculation is based on the Simplified Differential Equations approach. © 2021 Institute of Physics Publishing. All rights reserved.

关键词： Differential equations

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We are "not" too (young/old) to collaborate: Prominent key Barriers to intergenerational innovation 2

We are "not" too (young/old) to collaborate: Prominent key B...

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23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019

作者： Nurhas, Irawan Aditya, Bayu R. Geisler, Stefan Ojala, Arto Pawlowski, Jan M. Institute of Positive Computing Hochschule Ruhr West Bottrop Germany University of Jyväskylä Jyväskylä Finland School of Applied Sciences Telkom University Bandung Indonesia Faculty of Information Technology University of Jyväskylä Jyväskylä Finland Institute of Positive Computing Hochschule Ruhr West University of Applied Sciences Bottrop Germany

In this study, we analyzed the barriers to technology-supported intergenerational innovation to understand better how young and old can collaborate towards global innovations. Researchers in different disciplines have already identified various barriers to intergenerational collaboration. However, barriers are changing depending on the context of collaboration, and difficulties still exist to support intergenerational innovation in global settings. Therefore, we investigated the barriers that emerge when people work with someone decades older or younger. The results of our study have shown what barriers are influenced by age, what barriers exist only for senior and younger adults. The study theoretically contributes to deepening the Information Systems (IS) community's understanding of the barriers to intergenerational innovation that need to be considered when developing systems for global innovation. © Proceedings of the 23rd Pacific Asia Conference on Information Systems: Secure ICT Platform for the 4th Industrial Revolution, PACIS 2019.

关键词： Information systems

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Inertial self-adaptive algorithms with new step size rule for solving split variational inclusion problems in Banach spaces

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Communications in Nonlinear Science and Numerical Simulation 2025年 150卷

作者： Pongsakorn Sunthrayuth Prasit Cholamjiak Issara Siramaneerat Jen-Chih Yao Department of Mathematics and Computer Science Faculty of Science and Technology Rajamangala University of Technology Thanyaburi Pathumthani 12110 Thailand AI-Powered Digital Platform Research Unit Rajamangala University of Technology Thanyaburi Pathumthani 12110 Thailand School of Science University of Phayao Phayao 56000 Thailand Department of Social Science Faculty of Liberal Arts 3 Rajamangala University of Technology Thanyaburi Pathumthani 12110 Thailand Research Center for Interneural Computing China Medical University Hospital China Medical University Taichung 40447 Taiwan Department of Applied Mathematics National Sun Yat-sen University Kaohsiung 80424 Taiwan

In this study, we introduce two recent algorithms designed to solve the split variational inclusion problem in Banach spaces by using two inertial extrapolations and self-adaptive step size technique. Theoretical analysis demonstrates that the inertial Mann-type self-adaptive algorithm (IMSA) and the inertial Halpern-type self-adaptive algorithm (IHSA) generate strong convergence under the specified conditions. To validate their performance, numerical experiments are conducted to show the effectiveness of the proposed algorithms in both finite-dimensional and infinite-dimensional spaces. Furthermore, practical applications are highlighted through data classification tasks using the heart disease and diabetes datasets.

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Two classes of narrow-sense BCH codes and their duals

arXiv

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arXiv 2022年

作者： Wang, Xiaoqiang Wang, Jiaojiao Li, Chengju Wu, Yansheng Hubei Key Laboratory of Applied Mathematics Faculty of Mathematics and Statistics Hubei University Wuhan430062 China Data Science and Information Technology Research Center Tsinghua-Berkeley Shenzhen Institute Tsinghua Shenzhen Inter national Graduate School Shenzhen China The Shanghai Key Laboratory of Trustworthy Computing East China Normal University Shanghai200062 China The National Mobile Communications Research Laboratory Southeast University Nanjing210096 China School of Computer Science Nanjing University of Posts and Telecommunications Nanjing210023 China

BCH codes and their dual codes are two special subclasses of cyclic codes and are the best linear codes in many cases. A lot of progress on the study of BCH cyclic codes has been made, but little is known about the minimum distances of the duals of BCH codes. Recently, a new concept called dually-BCH code was introduced to investigate the duals of BCH codes and the lower bounds on their minimum distances in [12]. For a prime power q and an integer (formula presented), or (formula presented). In this paper, some sufficient and necessary conditions in terms of the designed distance will be given to ensure that the narrow-sense BCH codes of length n are dually-BCH codes, which extended the results in [12]. Lower bounds on the minimum distances of their dual codes are developed for (formula presented). As byproducts, we present the largest coset leader δ1 modulo n being of two types, which proves a conjecture in [28] and partially solves an open problem in [21]. We also investigate the parameters of the narrow-sense BCH codes of length n with design distance δ1. The BCH codes presented in this paper have good parameters in general. © 2022, CC BY.

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Preface

SpringerBriefs in Applied Sciences and Technology

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SpringerBriefs in applied Sciences and technology 2024年 Part F2025卷 v页

作者： Ismail, Azman Zulkipli, Fatin Nur Daril, Mohd Amran Mohd Öchsner, Andreas Centre for Women Advancement and Leadership Universiti Kuala Lumpur Malaysian Institute of Marine Engineering Technology Perak Lumut Malaysia College of Computing Informatics and Mathematics Universiti Teknologi MARA Kelantan Machang Malaysia Malaysian Institute of Industrial Technology Universiti Kuala Lumpur Johor Masai Malaysia Faculty of Mechanical Engineering Esslingen University of Applied Sciences Esslingen am Neckar Baden-Württemberg Germany

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Landscape of global urban environmental resistome and its association with local socioeconomic and medical status

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Science China(Life Sciences) 2024年第6期67卷 1292-1301页

作者： Jun Wu Yige Hu Michael H Perlin David Danko Jun Lu Manuela Oliveira Johannes Werner Maria M Zambrano Maria A Sierra Olayinka O Osuolale Paweł Łabaj Nicolás Rascovan Nur Hazlin Hazrin-Chong Soojin Jang Haruo Suzuki Marina Nieto-Caballero Bharath Prithiviraj Patrick K H Lee Agnieszka Chmielarczyk Anna Różańska Yongxiang Zhao Lan Wang Christopher E Mason Tieliu Shi Center for Bioinformatics and Computational Biology and the Institute of Biomedical SciencesSchool of Life SciencesEast China Normal UniversityShanghai 200241China Department of Biology Program on Disease EvolutionUniversity of LouisvilleLouisville 40292USA Weill Cornell Medicine New York 10065USA The Bin Talal Bin Abdulaziz Alsaud Institute for Computational Biomedicine New York 10065USA Department of Pulmonary Medicine Shanghai Chest HospitalShanghai Jiao Tong UniversityShanghai 200025China i3S-Instituto de Investiga玢o e Inova玢o em Saúde Universidade do PortoPorto 4050-290Portugal Ipatimup-Instituto de Patologia e Imunologia Molecular da Universidade do Porto Porto 4200-465Portugal Departamento de Biologia Faculdade de CiênciasUniversidade do PortoPorto 4050-290Portugal High Performance and Cloud Computing Group Zentrum für Datenverarbeitung(ZDV)Eberhard Karls University of TübingenW鋍hterstra遝7672074TübingenGermany Corporación Corpogen Research Center Bogotá110311Colombia Applied Environmental Metagenomics and Infectious Diseases Research(AEMIDR) Department of Biological SciencesElizade UniversityIlara-Mokin 340271Nigeria Maopolska Centre of Biotechnology Jagiellonian UniversityKraków 30-005Poland Aix-Marseille Université Mediterranean Institute of OceanologyUniversitéde ToulonCNRSIRDUM 110Marseille 83041France Department of Biological Sciences and Biotechnology Faculty of Science and TechnologyUniversiti Kebangsaan Malaysia43600 UKM BangiSelangor Institut Pasteur Korea Seoul 13488Republic of Korea Faculty of Environment and Information Studies Keio UniversityFujisawaKanagawa 252-0882Japan University of Colorado at Boulder CivilEnvironmental and Architectural DepartmentBoulder 80303USA Brooklyn College of the City University of New York Brooklyn 11210USA School of Energy and Environment City University of Hong KongHong Kong 999077China Department of Microbiology Faculty of MedicineJagiellonian UniversityKraków 30-005Poland Biological Targeting Diagnosis and The

Antimicrobial resistance(AMR)poses a critical threat to global health and development,with environmental factors—particularly in urban areas—contributing significantly to the spread of antibiotic resistance genes(ARGs).However,most research to date has been conducted at a local level,leaving significant gaps in our understanding of the global status of antibiotic resistance in urban *** address this issue,we thoroughly analyzed a total of 86,213 ARGs detected within 4,728 metagenome samples,which were collected by the Meta SUB International Consortium involving diverse urban environments in 60 cities of 27 countries,utilizing a deep-learning based *** findings demonstrated the strong geographical specificity of urban environmental resistome,and their correlation with various local socioeconomic and medical *** also identified distinctive evolutionary patterns of ARG-related biosynthetic gene clusters(BGCs)across different countries,and discovered that the urban environment represents a rich source of novel *** study provides a comprehensive overview of the global urban environmental resistome,and fills a significant gap in our knowledge of large-scale urban antibiotic resistome analysis.

关键词： urban environment metagenome antibiotic resistance resistance diversity biosynthetic gene clusters

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Towards improving Alzheimer's intervention: a machine learning approach for biomarker detection through combining MEG and MRI pipelines

arXiv

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arXiv 2024年

作者： Ahmad, Alwani Liyana Sanchez-Bornot, Jose Sotero, Roberto C. Coyle, Damien Idris, Zamzuri Faye, Ibrahima Department of Fundamental and Applied Sciences Faculty of Science and Information Technology Universiti Teknologi PETRONAS Perak Malaysia Department of Neurosciences Hospital Universiti Sains Malaysia Kelantan Malaysia Brain and Behaviour Cluster School of Medical Sciences Universiti Sains Malaysia Kelantan Malaysia Intelligent Systems Research Centre School of Computing Engineering and Intelligent Systems Ulster University Magee campus Derry~Londonderry BT48 7JL United Kingdom Department of Radiology Hotchkiss Brain Institute University of Calgary CalgaryAB Canada The Bath Institute for the Augmented Human University of Bath BathBA2 7AY United Kingdom Department of Neurosciences School of Medical Sciences Universiti Sains Malaysia Kelantan Malaysia Universiti Teknologi PETRONAS Perak Malaysia

Background: Magneto/eletro-encephalography (MEG/EEG) are non-invasive neuroimaging techniques that offer excellent temporal and spatial resolution that can be used to study brain functioning. It has been proven effective in research on dementia and Alzheimer's disease (AD), where MEG/EEG analyses can identify changes in brain activity at various stages of AD progression, including preclinical and prodromal. Research has shown differences in the power spectrum properties among healthy controls (HC) and individuals with mild cognitive impairment (MCI) or AD. It has also been conjectured that MEG/EEG analyses have the capability to identify pathological changes before first clinical symptoms and may provide biomarkers for interventions designed to reverse or slow the progression of AD. Objective: To conduct a comprehensive analysis by evaluating the performance of various classification techniques using features extracted by following different MEG methodologies. This study will focus on selecting MEG-based biomarkers/features that enhance performance in distinguishing between healthy control (HC) and mild cognitive impairment (MCI) participants from the BioFIND study. Furthermore, we will compare this with the effectiveness of using MRI-based anatomical features extracted from same participants, independently or in combination with the MEG features;thus, extending from previous study where similar analyses were performed using ADNI and OASIS-3 datasets. Methods: MEG and MRI data are obtained from the BioFIND dataset, comprising 324 participants with 158 individuals diagnosed as MCI and 166 HC. Sensor and source-based MEG analyses are performed using custom MATLAB code based on SPM12 and OSL toolboxes, for co-registration, preprocessing including filtering, and automatic artifact rejection. Source-based analyses were applied through different source localization methods as implemented in SPM12 and DAiSS toolboxes. We conducted analogous machine learning analyses on sen

关键词： Neurodegenerative diseases

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Monitoring System-Based Flying IoT in Public Health and Sports Using Ant-Enabled Energy-Aware Routing

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Journal of Healthcare Engineering 2021年 2021卷 1686946页

作者： Khan, Inam Ullah Hassan, Muhammad Abul Alshehri, Mohammad Dahman Ikram, Mohammed Abdulaziz Alyamani, Hasan J. Alturki, Ryan Hoang, Vinh Truong Department of Electronic Engineering School of Engineering and Applied Sciences Isra University Islamabad Pakistan Department of Computing and Technology Abasyn University Peshawar25000 Pakistan Department of Computer Science College of Computers and Information Technology Taif University Taif21944 Saudi Arabia Computer Science Department University College in Al-Jamoum Umm Al-Qura University Makkah Saudi Arabia Department of Information Systems Faculty of Computing and Information Technology in Rabigh King Abdulaziz University Jeddah Saudi Arabia Department of Information Science College of Computer and Information Systems Umm Al-Qura University Makkah Saudi Arabia Department of Information Technology Specialization Fpt University Hoa Lac High Tech Park Hanoi Viet Nam

In recent decades, the Internet of flying networks has made significant progress. Several aerial vehicles communicate with one another to form flying ad hoc networks. Unmanned aerial vehicles perform a wide range of tasks that make life easier for humans. However, due to the high frequency of mobile flying vehicles, network problems such as packet loss, latency, and perhaps disrupted channel links arise, affecting data delivery. The use of UAV-enabled IoT in sports has changed the dynamics of tracking and working on player safety. WBAN can be merged with aerial vehicles to collect data regarding health and transfer it to a base station. Furthermore, the unbalanced energy usage of flying things will result in earlier mission failure and a rapid decline in network lifespan. This study describes the use of each UAV's residual energy level to ensure a high level of safety using an ant-based routing technique called AntHocNet. In health care, the use of IoT-Assisted aerial vehicles would increase operational performance, surveillance, and automation optimization to provide a smart application of flying IoT. Apart from that, aerial vehicles can be used in remote communication for treatment, medical equipment distribution, and telementoring. While comparing routing algorithms, simulation findings indicate that the proposed ant-based routing protocol is optimal. © 2021 Inam Ullah Khan et al.

关键词： Unmanned aerial vehicles (UAV)

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IoT-based Smart Parking System using Android Application

IoT-based Smart Parking System using Android Application

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computing, Communication and Electronics (ETCCE), Emerging technology in

作者： Nor Bakiah Abd Warif Mohd Izzat Syahmi Saiful Azman Nor-Syahidatul N Ismail Muhammad Akmal Remli Faculty of Computer Science & Information Technology Universiti Tun Hussien Onn Malaysia Batu Pahat Johor Malaysia Faculty of Computing College of Computing and Applied Sciences Universiti Malaysia Pahang Pekan Pahang Malaysia Institute For Artificial Intelligence and Big Data Universiti Malaysia Kelantan (Kota Campus) Kota Bharu Kelantan Malaysia

ISBN: (数字)9781665419628

ISBN: (纸本)9781665419635

Since all people used vehicles as a necessity, the growing number of vehicles is increasing day by day. With the increasing number of vehicles on the road, the requirement of parking lot will also be restricted. Thus, it become a problem for the people to find a free parking space in the busy building especially in shopping complex. Internet of Things (IoT) is an interesting technology that can be applied in this paper because this technology has a capability to transfer the data over a network without requiring human intervention in almost all applications in today's society. In this paper, a user-friendly mobile application, named as Android-based Car Parking Monitoring System (ACPMS) is built to aid in locating a particular parking place. ACPMS can provide a user with the ability to check vacant parking space and locate the nearest parking lot. ACPMS obtained the parking location from the current user's position with the sensor located in the shopping complex's parking lot. ACPMS is testing in a realistic environment for the purpose of movement detection and location service to notify user using the mobile application. By considering seven test case scenarios, the combination of the ACPMS mobile application with a parking prototype kit shows that the proposed work able to solve the parking problem.

关键词： Databases Wires Prototypes Hardware Mobile applications Internet of Things Smart phones

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A novel deep learning-based spider wasp optimization approach for enhancing brain tumor detection and physical therapy prediction

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Computer Methods and Programs in Biomedicine Update 2025年 7卷

作者： Suleiman Daoud Ahmad Nasayreh Khalid M.O. Nahar Wlla k. Abedalaziz Salem M. Alayasreh Hasan Gharaibeh Ayah Bashkami Amer Jaradat Sultan Jarrar Hammam Al-Hawamdeh Absalom E. Ezugwu Raed Abu Zitar Aseel Smerat Vaclav Snasel Laith Abualigah Neurosurgery Department Faculty of Medicine Jordan University of Science and Technology Irbid 22110 Jordan Artificial Intelligence and Data Innovation Office King Hussein Cancer Center Amman Jordan Department of Information Technology and Computer Sciences Yarmouk University Irbid 211633 Jordan Department of Rehabilitation science Faculty of applied medical science Jordan University of Science and Technology King Abdullah University Hospital Irbid Jordan Department of Medical Laboratory Sciences Al Balqa Applied University Salt Jordan Unit for Data Science and Computing North-West University 11 Hofman Street Potchefstroom 2520 South Africa College of Engineering and Computing Liwa University Abu Dhabi United Arab Emirates Faculty of Educational Sciences Al-Ahliyya Amman University Amman 19328 Jordan Computer Technologies Engineering Mazaya University College Nasiriyah Iraq Faculty of Electrical Engineering and Computer Science VŠB-Technical University of Ostrava 70800 Poruba-Ostrava Czech Republic Computer Science Department Al al-Bayt University Mafraq 25113 Jordan

A brain tumor, one of the deadliest disorders, is characterized by the abnormal growth of synapses in the brain. Early detection can improve brain tumor diagnosis, and accurate diagnosis is essential for effective treatment. Researchers have developed several deep-learning classification methods to diagnose brain tumors. Moreover, these types of tumorscan significantly impair physical activity, presenting a broad spectrum of symptoms. As a result, each patient requires an individualized physical therapy treatment plan tailored to their specific needs. However, some challenges remain, including the need for a competent expert in classifying brain tumors using deep learning models, as well as the challenge of creating the most accurate deep learning model for brain tumor classification. To address these challenges, we present a highly accurate and efficient methodology based on advanced metaheuristic algorithms and deep learning. To identify different types of pediatric brain tumors, we specifically develop an optimal residual learning architecture. We also present the Spider Wasp Optimization (SWO) algorithm, which aims to improve performance by feature selection. The algorithm enhances the effectiveness of optimization by balancing the speed of convergence and diversity of solutions. We first convert the algorithm from continuous to binary, combine it with the K-Nearest Neighbor (KNN) algorithm for classification, and evaluate it on a dataset of brain MRI images collected from King Abdullah Hospital. Our analysis revealed that in terms of metrics such as accuracy, sensitivity, specificity, and f1-score, it outperformed other conventional algorithms. We demonstrate the overall effectiveness of the proposed model by using it to select the optimal features extracted from the Resnet50V2 model for pediatric brain tumor detection. We compared the proposed SWO+KNN model with other deep learning architectures such as MobileNetV2, Resnet50V2, and machine learning algorithms

关键词： Brain tumor Pediatric Machine learning Rehabilitation Physical therapy Deep learning Metaheuristic optimization Feature selection

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