Health Information Scanning and Seeking in Diverse Language, Cultural and Technological Media Among Latinx Adolescents: Cross-Sectional Study by Melissa J DuPont-Reyes, Alice P Villatoro, Lu Tang

“…Linear regression models were used to estimate adjusted predicted means of mental and physical health information scanning and seeking across diverse language and cultural media types, net personal and family factors, in the full sample and by subsamples of mental health symptoms (moderate-high vs none-mild). …”
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COMPARISON OF THE DIAGNOSTIC INFORMATIVE VALUE OF DETERMINATION OF MRNA OF SOME HOMEOSTATIC AND PROINFLAMMATORY CYTOKINES IN THE SYNOVIAL MEMBRANE OF PATIENTS WITH RHEUMATOID ARTHR... by A. L. Maslyansky, D. A. Zhebrun, A. G. Titov, A. P. Patrukhin, A. A. Kostareva, I. S. Goltseva, Areg. A. Totolyan

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Special issue: Proceedings of the 15th ISIC - The Information Behaviour Conference, Aalborg, Denmark, August 26-29, 2024

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Neutrophils unveiled in chronic lymphocytic leukemia by Sheighlah McManus, Sheighlah McManus, Priyanka Khare, Maria Teresa S. Bertilaccio

“…This review notes the reduced phagocytic abilities of neutrophils and the increased formation of neutrophil extracellular traps (NETs) in patients with CLL. It also examines the effects of CLL treatments, including chemotherapy, immunotherapy and targeted therapies, on neutrophils’ count and function, stressing the need for improved strategies to manage therapy-induced immune dysfunction. …”
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Active sonar target recognition method based on multi‐domain transformations and attention‐based fusion network by Qingcui Wang, Shuanping Du, Wei Zhang, Fangyong Wang

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Examining the Impact of Classification of Information materials towards the Organization of Academic Libraries. A Case Study of Uganda College of Commerce Library, Kabale District. by Winfred, Ninsiima

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A 7T MRI-Guided Learning Method for Automatic Hippocampal Subfield Segmentation on Routine 3T MRI by Linjin Wang, Jiangtao He, Guohong Geng, Lisha Zhong, Xinwei Li

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CGDINet: A Deep Learning-Based Salient Object Detection Algorithm by Chengyu Hu, Jianxin Guo, Hanfei Xie, Qing Zhu, Baoxi Yuan, Yujie Gao, Xiangyang Ma, Jialu Chen, Juan Tian

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Unmasking the Fake: Machine Learning Approach for Deepfake Voice Detection by Muhammad Usama Tanveer Gujjar, Kashif Munir, Madiha Amjad, Atiq Ur Rehman, Amine Bermak

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Modeling and Solution for Course of Action Planning Driven by Operational Task Network by Jianping Wu, Yunjun Lu, Dezhi Li, Yun Ren, Wenlu Zhou, Shandong Yuan

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An Accurate Deep Learning-Based Computer-Aided Diagnosis System for Gastrointestinal Disease Detection Using Wireless Capsule Endoscopy Image Analysis by Sameh Abd El-Ghany, Mahmood A. Mahmood, A. A. Abd El-Aziz

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HistoDX: Revolutionizing Breast Cancer Diagnosis Through Advanced Imaging Techniques by Wishal Arshad, Tehreem Masood, H. M. Shahzad, Hassan A. Ahmed, Syed Hamza Ahmed, Hafiz Muhammad Tayyab Khushi

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A cotton organ segmentation method with phenotypic measurements from a point cloud using a transformer by Fu-Yong Liu, Hui Geng, Lin-Yuan Shang, Chun-Jing Si, Shi-Quan Shen

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Identifying populations at high risk of malaria: a mixed-methods case–control study to inform targeted interventions in Senegal by Tidiane Thiam, Demba Kande, Henry Ntuku, Caterina Guinovart, Natalie Galles, Laura Merriman, Moustapha Cissé, Abiboulaye Sall, Ndack Diop, Aichatou Barry Diouf, Mama Moussa Diaw, Mamadou Diop, Baba Camara, Niene Seck, Aliou Ndour, Yakou Dieye, Jennifer Smith, Adam Bennett

“…Results KIIs and FGDs indicated that nomadic pastoralists, gold miners and Koranic school students have high exposure to mosquito bites through outdoor sleeping, spending time outside at night and sleeping in informal structures, with important gaps in the coverage of indoor residual spraying (IRS) and long-lasting insecticidal nets (LLINs) and limited access to health services. …”
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Explainable AI in medical imaging: an interpretable and collaborative federated learning model for brain tumor classification by Qurat-ul-ain Mastoi, Shahid Latif, Sarfraz Brohi, Jawad Ahmad, Abdulmajeed Alqhatani, Mohammed S. Alshehri, Alanoud Al Mazroa, Rahmat Ullah

“…We have integrated GoogLeNet with a federated learning (FL) framework to facilitate collaborative learning on multiple devices to maintain the privacy of sensitive information locally. …”
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Intelligent integration of AI and IoT for advancing ecological health, medical services, and community prosperity by Abdulrahman Alzahrani, Patty Kostkova, Hamoud Alshammari, Safa Habibullah, Ahmed Alzahrani

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Selective Feature Sets Based Fake News Detection for COVID-19 to Manage Infodemic by Manideep Narra, Muhammad Umer, Saima Sadiq, Ala' Abdulmajid Eshmawi, Hanen Karamti, Abdullah Mohamed, Imran Ashraf

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License Plate Recognition Under the Dual Challenges of Sand and Light: Dataset Construction and Model Optimization by Zihao Wang, Yining Yang, Panxiong Yang, Xiaoge Zhang, Jiaming Li, Yanling Sun, Li Ma, Dong Cui

“…Experimental results demonstrate that, compared to the traditional AlexNet model, AlexNetBN achieves higher recognition accuracy and robustness in environments with frequent sandstorms and significant variations in lighting intensity. …”
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Real-Time Image Semantic Segmentation Based on Improved DeepLabv3+ Network by Peibo Li, Jiangwu Zhou, Xiaohua Xu

“…To improve the performance of the image semantic segmentation algorithm and make the algorithm achieve a better balance between accuracy and real-time performance when segmenting images, this paper proposes a real-time image semantic segmentation model based on an improved DeepLabv3+ network. First, the MobileNetV2 model with less computational overhead and number of parameters is selected as the backbone network to improve the segmentation speed; then, the Feature Enhancement Module (FEM) is introduced to several shallow features with different scale sizes in MobileNetV2, and then these shallow features are fused to improve the utilization rate of the model encoder on the edge information, to retain more detailed information and to improve the network’s feature representation ability for complex scenes; finally, to address the problem that the output feature maps of Atrous Spatial Pyramid Pooling (ASPP) module do not pay enough attention to detailed information after merging, the FEM attention mechanism is introduced on the feature maps processed by the ASPP module. …”
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Analysis and improvement of the BACnet/IP based on identity authentication by Pengshou XIE, Jiafeng ZHU, Yongping KANG, Tao FENG, Wei LI, Yuxiang RAN

“…To solve security issues arising from multiple attackable vulnerabilities and key leakage in BACnet/IP authentication, a security-enhanced BACnet/IP-SA protocol authentication scheme was proposed.By analyzing the authentication message flow model of the protocol and modeling it using colored Petri net theory and CPN Tools, vulnerabilities in the security of BACnet/IP were identified.An improvement scheme was proposed based on the Dolev-Yao attacker model and formal analysis method.The BACnet/IP-SA protocol utilized the device’s pseudo-identity to safeguard the actual identity information.It emploied the PUF response for authentication and verified the authenticity of the counterparty’s identity.The session key was generated through the authentication value of the multi-information set.The protocol’s security was demonstrated by combining BAN logic and non-formal methods.The experimental results indicate that the proposed scheme can effectively resist security threats from multi-class attacks and key leakage, enhancing the security of the protocol authentication while reducing computational overhead.…”
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