The central regulatory circuit in the gene network controlling the morphogenesis of Drosophila mechanoreceptors: an <i>in silico</i> analysis by T. A. Bukharina, V. P. Golubyatnikov, D. P. Furman

“…In addition, the CRC includes the accessory proteins Daughterless (DA), Groucho (GRO), Ubiquitin (UB), and Seven-in-absentia (SINA). The paper describes the results of computer modeling of different CRC operation modes. …”
Get full text

Coastal Hazard and Vulnerability Assessment in Cameroon by Mesmin Tchindjang, Philippes Mbevo Fendoung, Casimir Kamgho

“…This succession of events significantly influences the frequency and severity of coastal hazards. The present paper aims at describing and characterizing the hazards and vulnerabilities on the Cameroonian coast. …”
Get full text

Failure Characteristics and Stability Control of Bolt Support in Thick-Coal-Seam Roadway of Three Typical Coal Mines in China by Zhe Xiang, Nong Zhang, Deyu Qian, Zhengzheng Xie, Chenghao Zhang, Feng Guo, Sujian Wang

“…The concepts and techniques presented in the paper provide a reference for the design of roadway support under similar geological conditions and dynamic load.…”
Get full text

Embedded Vehicle Routing Problem: A Modeling and Optimization Framework for Real-World Multi-Purpose Truck Network by Tipaluck Krityakierne, Chanon Boonkangwan, Chanoknun Phunnasorn, Wasakorn Laesanklang

“…This paper introduces original contributions to the field of vehicle routing problems, specifically addressing the optimization of multi-purpose truck routing within the agricultural third-party logistics domain. …”
Get full text

A Dynamic Balanced Single-Source Domain Generalization Model for Cross-Posture Myoelectric Control by Tanying Su, Xin Tan, Xinyu Jiang, Xiao Liu, Bo Hu, Chenyun Dai

“…To enhance the robustness of sEMG-based gesture interfaces, mitigating the effects of body position variability is essential. In this paper, we proposed a Dynamic Balanced Single-Source Domain Generalization (DBSS-DG) transfer learning framework, which only used sEMG signal data from one posture as source domain for model training but can also generate good performance under different body postures as target domain. …”
Get full text

Improving the Performance of Answers Ranking in Q&#x0026;A Communities: A Long-Text Matching Technique and Pre-Trained Model by Siyu Sun, Yiming Wang, Jiale Cheng, Zhiying Xiao, Daqing Zheng, Xiaoling Hao

“…This paper introduces TR-BERT, a novel method to answer ranking in Question &#x0026; Answer (Q&#x0026;A) communities, designed to tackle the widespread challenges of irrelevant popular answers and the neglect of new questions. …”
Get full text

A Novel Deep Learning Approach for Yarn Hairiness Characterization Using an Improved YOLOv5 Algorithm by Filipe Pereira, Helena Lopes, Leandro Pinto, Filomena Soares, Rosa Vasconcelos, José Machado, Vítor Carvalho

“…By utilizing deep learning algorithms, a model can detect various yarn irregularities, including thick places, thin places, and neps, while characterizing hairiness by distinguishing between loop and protruding fibers in digital yarn images. This paper proposes a novel approach using deep learning, specifically, an enhanced algorithm based on YOLOv5s6, to characterize different types of yarn hairiness. …”
Get full text

Study on Vibration Response of Layered Media under the Impact Load by Mengyang Zhen, Jun Liu, Zhimin Xiao, Futian Zhao, Yue Wang, Chen Ou, Zheng Liu, Haowen Zheng

“…At the same time, this paper also used the dimensional analysis method to establish the calculation model of the peak response of vibration velocity of layered media under the impact load, which provided an idea for determining the peak response of vibration velocity of the layered media.…”
Get full text

Finite element analysis and artificial neural network for stress distribution of an aircraft model in a wind tunnel by Ahmed Al-Mulla Khalaf, Sinan Al-Haddad, Bilal Al-Oubaidi, Naseem Ibrahim, Fawaz Abdulwahed, Athraa Hilal

“…Wind tunnels are instrumental in the aerodynamic analysis of aircraft model structures, enabling the replication of real circumstances for better design and performance evaluation. This paper presents a novel enhancement to stress distribution predictions in wind tunnel simulations by combining Finite Element Analysis (FEA) and Artificial Neural Networks (ANN). …”
Get full text

Application of modern communication technology in the specialized hospital for prevention and control of COVID-19 (现代通讯技术在新型冠状病毒肺炎专科医院中的应用)... by JING Tiaoping (景调平), JIN Ping (金萍), LI Tianfeng (李田峰), JIN Yuntao (金蕴韬)

“…The management of specialized hospital for prevention and control of COVID-19 does appear to be on the cusp of a new phase, and efficient transmission of information is an important precondition for clinical practice. This paper summarized the application of modern communication technology in the specialized hospital for prevention and control of COVID-19. …”
Get full text

Learning to Boost the Performance of Stable Nonlinear Systems by Luca Furieri, Clara Lucia Galimberti, Giancarlo Ferrari-Trecate

“…However, maintaining closed-loop stability while boosting the performance of nonlinear control systems using data-driven and deep-learning approaches stands as an important unsolved challenge. In this paper, we tackle the performance-boosting problem with closed-loop stability guarantees. …”
Get full text

Effects of Posttreatments on the Storage Stability of Reclaimed Rubber by Na Lu, Mei Shen, Juan Liu, K. Prakashan, Zhenxiang Xin

“…Reclaimed rubber should be considered a source of new material with an economic impact, so the recycling of waste rubber is especially important. In this paper, sulfur-cured waste tire rubber powder is successfully devulcanized in a normal-pressure continuous regeneration system under the application of an activator and aromatic oil. …”
Get full text

Toxicological complexity of microplastics in terrestrial ecosystems by Fazal Ullah, Peng-Yang Wang, Saddam Saqib, Ling Zhao, Muhammad Ashraf, Aziz Khan, Wasim Khan, Adnan Khan, Yinglong Chen, You-Cai Xiong

“…Summary: Microplastics (MPs), defined as plastic debris, smaller than <5 mm, are viewed as persistent contaminants that significantly modify terrestrial ecosystems and biodiversity by altering soil microbiota, structure, and functions. This paper summarizes MPs’ interactions with various pollutants, including heavy metals and pesticides, also addressing socio-economic impacts, such as reduced agricultural yields and threats to regional fisheries. …”
Get full text

Music-guided imagination technology combined with acupoint application therapy and Traditional Chinese Medicine nursing measures for preoperative blood pressure control in a patien... by HOU Xuemin (侯雪敏), HUANG Yanping (黄砚萍), FANG Xiaomei (方晓梅)

“…This paper summarized the preoperative nursing practice of a patient undergoing endovascular exclusion for thoracic aortic ulcer. …”
Get full text

Dynamic Analysis of Vehicle Track Coupling Based on Double Beam Track Model by Yayun Qi, Huanyun Dai, Jianjin Yang, Kun Xu

“…The rail was considered as double Timoshenko beam in this paper, applied to the vehicle track coupling dynamics model; the Hertz nonlinear method is used to calculate the wheel rail contact force. …”
Get full text

Community-Partnered Training in Trauma-Informed Primary Care for Patients Experiencing Reentry From Incarceration: A Pilot Training Study by Lauren E. Szkodny, Mahlet A. Yared, Shoshana H. Bardach, Joseph Lascaze, Randy Stevens, Anna M. Adachi-Mejia, Milan F. Satcher

“…Healthcare professionals may not recognize patients’ trauma reactions or know how to effectively respond. This paper describes the development and pilot evaluation of a single-session training to prepare primary care teams to deliver trauma-informed care (TIC) to patients experiencing reentry. …”
Get full text

Keep your friends close, and your enemies closer: structural properties of negative relationships on Twitter by Jack Tacchi, Chiara Boldrini, Andrea Passarella, Marco Conti

“…This work aims to bring the ENM into the signed networks domain by investigating the interplay of signed connections with the ENM. This paper delivers 2 main contributions. Firstly, a new and data-efficient method of signing relationships between individuals using sentiment analysis and, secondly, we provide an in-depth look at the properties of Signed Ego Networks (SENs), using 9 Twitter datasets of various categories of users. …”
Get full text

Development of polymerase chain reaction kit for detection of SARS-CoV-2 RNA in biological samples collected from animals by A. M. Timina, A. S. Yakovleva, M. V. Timanov, M. V. Biryuchenkova, Ye. S. Orlova

“…Today the key methodofCOVID-19 diagnosis is polymerase chain reaction, butall currently availabletest-kits are intended for the virus detection in humans. The paper demonstrates data on the development of thereal-timePCR-basedmethodforSARS-CoV-2 RNA detection in the biological samples collected from animals. …”
Get full text

Improved Binary Grey Wolf Optimization Approaches for Feature Selection Optimization by Jomana Yousef Khaseeb, Arabi Keshk, Anas Youssef

“…Three improved binary Grey Wolf Optimization (GWO) approaches are proposed in this paper to optimize the feature selection process by enhancing the feature selection accuracy while selecting the least possible number of features. …”
Get full text

Adaptive Resource Allocation and Mode Switching for D2D Networks With Imperfect CSI in AGV-Based Factory Automation by Safiu A. Gbadamosi, Gerhard P. Hancke, Adnan M. Abu-Mahfouz

“…However, deploying D2D-enabled networks presents challenges such as interference control and imperfect channel state information (ICSI). In this paper, we investigate an adaptive resource allocation and mode switching strategy (ARAMS) in D2D-enabled industrial small cell (SC) networks with ICSI to maximize the system throughput and address reuse interference for AGVs. …”
Get full text