Predicting the Spatial-Temporal Distribution of Human Brucellosis in Europe Based on Convolutional Long Short-Term Memory Network by Li Shen, Chenghao Jiang, Minghao Sun, Xuan Qiu, Jiaqi Qian, Shuxuan Song, Qingwu Hu, Heilili Yelixiati, Kun Liu

“…Taking major European countries as an example, this study established the temporal and spatial distribution sequence of brucellosis, analyzed the temporal and spatial distribution characteristics of brucellosis, and quantitatively predicted its epidemic law by using different traditional or machine learning models. This paper indicates that the epidemic of brucellosis in major European countries has statistical periodic characteristics, and in the same cycle, brucellosis has the characteristics of piecewise trend. …”
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A Comprehensive Review of AI’s Current Impact and Future Prospects in Cybersecurity by Abdullah Al Siam, Moutaz Alazab, Albara Awajan, Nuruzzaman Faruqui

“…By providing a holistic view of the current state and future potential of AI in cybersecurity, this paper aims to serve as a foundational reference for researchers and practitioners seeking to leverage AI for robust and adaptive security solutions.…”
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Named Entity Recognition in Bengali by Asif Ekbal, Sivaji Bandyopadhyay

“… This paper reports about a multi-engine approach for the development of a Named Entity Recognition (NER) system in Bengali by combining the classifiers such as Maximum Entropy (ME), Conditional Random Field (CRF) and Support Vector Machine (SVM) with the help of weighted voting techniques. …”
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Optimization-Based Design of Multi-Band Branch-Line Coupler With Arbitrary and Band-Distinct Power Division Ratios and Phase Differences by Abdullah J. Alazemi, Mohamed A. Koura

“…This paper presents a novel optimization-based procedure for designing a multi-band branch-line coupler with arbitrary output power division ratios and phase differences that are distinct at each of arbitrarily-allocated design frequencies. …”
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Unlock the Potentials of Large-Element-Spacing Arrays: A Meta-Lens Solution for Grating-Lobe Suppression and Gain Enhancement by Zhengmei Wang, Shan Lin, Yuehe Ge, Zhizhang (David) Chen, Jingjing Zhao, Jiahong Chen, Ziheng Zhou, Trevor S. Bird

“…However, they often encounter the challenge of high-level grating lobes. This paper proposes a novel meta-lens methodology to effectively address the grating lobe issue in fixed-beam LES arrays. …”
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Cryopreservation of primary trypsinized fibroblast cells of chicken embryos using various cryoprotectants by S. P. Lazareva, B. L. Manin, N. S. Mudrak, D. B. Andreychuk

“…For cryopreservation it is necessary  to select a cryoprotectant that ensures the highest survival of cells after storage and thawing. The paper presents  the results of experiments  on comparing the effectiveness of dimethyl sulfoxide, ethylene  glycol and glycerin in cryopreservation  of primary trypsinized chicken embryo fibroblasts. …”
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Investigation into the Early Cracking Behavior of High-Geothermal Tunnel Lining Concrete Based on Thermal–Mechanical Coupling Model by Si Xie, Dan Zhao, Peng Yi, Qian Chen, Wei Liu

“…As a typical extreme environment, a high-geothermal environment poses severe challenges to tunnel construction in western China. In this paper, a thermal–mechanical coupling model was formulated to evaluate the cracking behavior of lining under high-geothermal conditions, considering the early property evolution of concrete. …”
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Smart control and management for a renewable energy based stand-alone hybrid system by Abdelhak KECHIDA, Djamal GOZIM, Belgacem TOUAL, Mosleh M. ALHARTHI, Takele Ferede AGAJIE, S. M.Sherif GHONEIM, Ramy N. R. GHALY

“…Abstract This paper addresses the smart management and control of an independent hybrid system based on renewable energies. …”
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What Are the Public’s Concerns About ChatGPT? A Novel Self-Supervised Neural Topic Model Tells You by Rui Wang, Xing Liu, Peng Ren, Shuyu Chang, Zhengxin Huang, Haiping Huang, Guozi Sun

“…To comprehensively understand these public concerns, a novel Self-Supervised Neural Topic Model (SSTM), which formulates topic modeling as a representation learning procedure, is proposed in this paper. The proposed SSTM utilizes Dirichlet prior matching and three regularization terms for improved modeling performance. …”
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Role of information and communication technologies in the development of listening skills of non-linguistic students at a technical university by Nina S. Shvaikina, Alexander A. Popel

“…This paper focuses on a particular type of modern technologies, i.e. information and communication technology which has emerged as part of digital didactics. …”
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On Damage Identification in Planar Frames of Arbitrary Size by I. Fiore, A. Greco, A. Pluchino

“…Assuming that the joints are rigid in the undamaged configuration of the frame, it is possible to take into account their loss of stiffness due to the presence of eventual damage by means of hinges with rotational springs of variable rigidity. In this paper, an original algorithm that allows us to evaluate the stiffness and mass matrices and therefore the natural frequencies of vibration of undamaged and damaged planar frames with an arbitrary number of beams and columns is presented. …”
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Preparing Greenhouse Gas Inventory and Determining Emission Reduction Projects in an Organized Industrial Zone by Merve Çakmak Arı, Sibel Başakçılardan Kabakcı

“…A large part of the greenhouse gas generated due to both electricity and natural gas consumption originates from an organization operating in the field of tile-ceramic manufacturing and an organization operating in the field of paper-corrugated cardboard manufacturing. There are many organizations in different fields of activity in organized industrial zones. …”
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Omnichannel marketing and beacon technologies: experience and prospects in Europe by A. A. Sazonov, M. V. Sazonova

“…Melantiu needs to take into account that at the intersection of effective Omnichannel marketing and strategic initiatives, marketers get the opportunity to attract new customers and increase the level of brand loyalty. The paper presents the structure of beacon technology, gives the results of its application in European trade. …”
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Division of Precipitation Stage Based on Optimal Dissection Method:A Case Study in Hefei Station by HUANG Bingjie, ZHOU Yuliang, JIN Juliang, ZHOU Ping, SHEN Jie, NING Shaowei

“…Based on daily precipitation data of Hefei station from 1953 to 2019,this paper divides stages of precipitation in Hefei preliminarily by the optimal dissection method,and identifies the precipitation stages ultimately according to the general atmospheric circulation of precipitation stages.The results show that six stages can be identified in Hefei,including the stage of dry season in winter (November 29 to February 12 next year),the stage of rainy season in early spring (February 13 to April 4),the stage of rainy season in spring and early summer (April 5 to June 19),the stage of plum rainy season (June 20 to July 12),the stage of rainy season in midsummer (July 13 to September 4) and the stage of rainy season in autumn (September 5 to November 28).The plum rainy season and the rainy season in midsummer are the two main rainy seasons,of which the average daily precipitation is 6.9 mm and 4.3 mm respectively,and the corresponding atmospheric circulation is predominant and flourishing periods of summer monsoon respectively;the stage of dry season in winter and the stage of rainy season in autumn are periods with rare precipitation,of which average daily precipitation is 1.1 mm and 2.0 mm respectively,and the corresponding atmospheric circulation is flourishing periods of winter monsoon and transition period of summer to winter monsoon respectively;and the remaining two periods are the stage of rainy season in early spring and the stage of rainy season in spring &early summer,of which the average daily precipitation is 2.3 mm and 3.2 mm respectively,and the corresponding atmospheric circulation is transition period of winter to summer monsoon and initial period of summer monsoon respectively.Precipitation in Hefei is strongly affected by the monsoon,and the atmospheric circulation of each stage is relatively stable.…”
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The Impact of Learner Ill-Discipline on Teaching and Learning in High Schools of Waterberg District, Limpopo Province by Mashaba Ernest Khalabai, Ntshengedzeni Albert Tshisevhe, Simeon Maile

“…Studies have indicated that lack of discipline among learners in schools is one of the foremost problems facing schools both nationally and internationally. This paper thus investigated the causal factors of learner ill-discipline at the school level with the intention to come up with practical measures that can be applied by the schools to curb learner indiscipline. …”
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Digital Twin-Empowered Robotic Arm Control: An Integrated PPO and Fuzzy PID Approach by Yuhao Cen, Jianjue Deng, Ye Chen, Haoxian Liu, Zetao Zhong, Bo Fan, Le Chang, Li Jiang

“…However, the control and error management of robotic arms in digital twin systems pose challenges. In this paper, we present a digital twin-empowered robotic arm system and propose a control policy using deep reinforcement learning, specifically the proximal policy optimization approach. …”
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A Novel Federated & Ensembled Learning-Based Battery State-of-Health Estimation for Connected Electric Vehicles by Praveen Abbaraju, Subrata Kumar Kundu

“…Therefore, to ensure the reliability of EVs for realizing improved customer satisfaction, it is necessary to monitor and track its battery condition. This paper introduces a novel federated & ensembled learning (FEL) algorithm for precise estimation of battery State of Health (SoH). …”
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Machine Learning in Money Laundering Detection Over Blockchain Technology by Algimantas Venckauskas, Sarunas Grigaliunas, Linas Pocius, Rasa Bruzgiene, Andrejs Romanovs

“…Machine learning emerges as a powerful tool for analyzing and identifying illicit transactions within Blockchain networks; however, a significant challenge remains in the form of a gap in advanced pattern recognition algorithms. This paper introduces a novel machine learning-based approach called Value-driven-Transactional tracking Analytics for Crypto compliance (VTAC) for the detection of illegal crypto transactions via Blockchain. …”
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Protective Role of Black Tea Extract against Nonalcoholic Steatohepatitis-Induced Skeletal Dysfunction by Subhra Karmakar, Sangita Majumdar, Anasuya Maiti, Monalisa Choudhury, Aniruddha Ghosh, Asankur S. Das, Chandan Mitra

“…Aim. This paper aimed to examine the chemoprotective actions of aqueous black tea extract (BTE) against nonalcoholic steatohepatitis- (NASH-) induced skeletal changes in rats. …”
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Progress of research on personalized health management and education for patients with tinnitus and hearing loss (耳鸣伴听力下降患者个性化健康管理教育研究现状)... by ZHAO Tangying (赵堂英), ZHAO Ruiqian (赵瑞倩), YU Weixiu (于维秀)

“…Tinnitus, often associated with hearing loss, may be associated with lower health related quality of life. This paper reviewed the studies on personalized health management and education for patients with tinnitus and hearing loss in perspectives of health assessment, health guidance and health education methods, and provided reference for perfecting the strategy of clinical health education. …”
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