Could chronic Vardenafil administration influence the cardiovascular risk in men with type 2 diabetes mellitus? by Daniele Santi, Michela Locaso, Antonio R Granata, Tommaso Trenti, Laura Roli, Chiara Pacchioni, Vincenzo Rochira, Cesare Carani, Manuela Simoni

“…<h4>Results</h4>Predicted cardiovascular risk at ten years resulted different using the three algorithms chosen, without differences between study and control groups and among visits. …”
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A Progressive Noise Removal Method for ICESat-2 Data Based on Terrain Slope Adaptive Calculation by Z. Hui, Z. Hui, Z. Hui, L. Zhang, L. Zhang, L. Zhang, Y. Chen, P. Cheng, P. Cheng, P. Cheng, Y. Xia, Y. Xia, Y. Xia, T. Hui, Z. Huang

“…To evaluate the effectiveness of the proposed method, experimental data sets from two regions with different geographical characteristics in the United States are selected for testing. …”
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A homophilic and dynamic influence maximization strategy based on independent cascade model in social networks by Gang Wang, Shangyi Du, Yurui Jiang, Xianyong Li

“…This has led to inaccurate simulations of information spread and influence propagation between nodes, with traditional IM algorithms’ selected seed node sets failing to adapt to network evolution. …”
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Exploring Heterogeneity in Car-Following Behaviors Based on Driver Visual Characteristics: Modeling and Calibration by Congcong Bai, Jun Jing, Bokun Liu, Wenbin Yao, Chengcheng Yang, Adjé Jérémie Alagbé, Sheng Jin

“…The driver’s visual characteristic variables were then incorporated to improve the full velocity difference (FVD) model. Genetic algorithms were employed to calibrate the model under different car-following types, revealing pronounced behavioral variations. …”
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A new internal clustering validation index for categorical data based on concentration of attribute values by FU Li-wei, WU Sen

“…For data without a clustering structure, clustering results need to be evaluated. For data with a clustering structure, different results obtained under different algorithms and parameters also need to be further optimized by clustering validation. …”
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Corporate Social Responsibility: Completeness and Transparency of Information by M. V. Melnik, M. T. Velikhanov

“…The main stages of the formation and evolution of this concept in the world scientific literature and in practice of corporate structures are shown. …”
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The future of education: Importance of ethical frameworks and cultural sensitivity by Baltezarević Borivoje V.

“…Cultural contexts can significantly influence how students from different backgrounds understand and use AI systems. …”
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Post-integration based point-line feature visual SLAM in low-texture environments by Yanli Liu, Zhengyuan Feng, Heng Zhang, Wang Dong

“…Abstract To address the issues of weak robustness and low accuracy of traditional SLAM data processing algorithms in weak texture environments such as low light and low contrast, this paper first studies and improves the data feature extraction method, optimizing the AGAST-based feature extraction algorithm to adaptively adjust the extraction threshold according to the gradient size of different data features. …”
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Faster R-CNN model for target recognition and diagnosis of scapular fractures by Qiong Fang, Anhong Jiang, Meimei Liu, Sen Zhao

“…Results: The CNN model, when combined with medical expert interpretation, demonstrated significantly higher specificity and positive predictive value compared to orthopedist-independent interpretation and algorithm-independent prediction (P < 0.05). The area under the curve (AUC) value of the combined approach was significantly higher than that of orthopedist-independent interpretation and algorithm-independent prediction groups, with statistically significant differences (P < 0.05). …”
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Reversible image steganography based on residual structure and attention mechanism by Lianshan Liu, Shanshan Tong, Qianwen Xue

“…The experimental results suggest that the framework achieves secure hiding and lossless extraction of secret images, superior to comparative algorithms in multiple evaluation metrics.…”
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SegRep: Mask-Supervised Learning for Segment Representation in Pathology Images by Chichun Yang, Daisuke Komura, Mieko Ochi, Miwako Kakiuchi, Hiroto Katoh, Tetsuo Ushiku, Shumpei Ishikawa

“…In addition, SegRep utilizes a self-supervised learning algorithm to achieve optimized segment representation. …”
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ARTIFICIAL INTELLIGENCE AS AN OBJECT OF MANAGEMENT: A BENEFIT FOR CIVILISATION OR A THREAT TO MANKIND? by Iia Chudayeva, Boris Dmitruk

“…Advances in computing power, the ability to collect and process huge amounts of information, and instant access to the latest algorithms are important prerequisites for the evolution of intelligent technologies. …”
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Restoration of the patient‐specific anatomy of the distal fibula based on a novel three‐dimensional contralateral registration method by Anna‐Katharina Calek, Sandro Hodel, Bettina Hochreiter, Arnd Viehöfer, Sandro Fucentese, Stephan Wirth, Lazaros Vlachopoulos

“…The aim of this study was to analyze the accuracy of a novel three‐dimensional (3D) registration algorithm using different segments of the contralateral anatomy to restore the distal fibula. …”
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Image harmonization improves consistency of intra-rater delineations of MS lesions in heterogeneous MRI by Aaron Carass, Danielle Greenman, Blake E. Dewey, Peter A. Calabresi, Jerry L. Prince, Dzung L. Pham

“…These results could lead to better truth models in both the development and evaluation of automated lesion segmentation algorithms.…”
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PictureGuard: Enhancing Software-Defined Networking–Internet of Things Security with Novel Image-Based Authentication and Artificial Intelligence-Powered Two-Stage Intrusion Detect... by Hazem (Moh’d Said) Hatamleh, As’ad Mahmoud As’ad Alnaser, Said S. Saloum, Ahmed Sharadqeh, Jawdat S. Alkasassbeh

“…Further, multi-controllers were placed optimally using fox optimization algorithm. The generated global paths were securely stored in the virtual blockchain Finally, the two agents in the multi-controllers were responsible for validating and classifying the incoming suspicious flow packets into normal and malicious packets by considering the operative metrics using the Dueling Deep Q Network (DDQN) algorithm. …”
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System Verification and FPGA Implementation of Hardware Preemptive Scheduler for RISC-V Processor by Ionel Zagan, Vasile Gheorghita Gaitan

“…The overall purpose of this paper is to present the hardware scheduler accelerator (HwSA) concept based on the RISC-V 4-stage pipeline CPU, where the scheduling algorithm is implemented in hardware. The proposed system is compared with existing soft-core processors using different parameters, such as the field-programmable gate arrays (FPGA) resources used for implementation, frequency, instruction set architecture (ISA), scheduler type, and the number of pipeline stages. …”
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Analysis of immune characteristics and inflammatory mechanisms in COPD patients: a multi-layered study combining bulk and single-cell transcriptome analysis and machine learning by Changjin Wei, Yongfeng Zhu, Caiming Chen, Feipeng Li, Li Zheng

“…COPD patients were clustered using the ConsensusClusterPlus algorithm, and the pathway activity differences of different inflammatory subtypes were analyzed using GSVA. …”
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High Accuracy of Epileptic Seizure Detection Using Tiny Machine Learning Technology for Implantable Closed-Loop Neurostimulation Systems by Evangelia Tsakanika, Vasileios Tsoukas, Athanasios Kakarountas, Vasileios Kokkinos

“…One of its key characteristics is the ability to run machine learning algorithms without the need for high computational complexity and powerful hardware resources. …”
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Beacon Jointed Packet Reconstruction Scheme for Mobile-Phone Based Visible Light Communications Using Rolling Shutter by Wei-Chung Wang, Chi-Wai Chow, Chia-Wei Chen, Hsiang-Chain Hsieh, Yen-Ting Chen

“…The mobile-phone based VLC data rate can be increased to a record 10.32 kb&#x002F;s. The implementation algorithm is discussed; and the bit-error-rate experimental evaluations at different transmission distances and horizontal offsets are performed.…”
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Smartphone- and Tablet-Based Tools to Assess Cognition in Individuals With Preclinical Alzheimer Disease and Mild Cognitive Impairment: Scoping Review by Rosanne L van den Berg, Sophie M van der Landen, Matthijs J Keijzer, Aniek M van Gils, Maureen van Dam, Kirsten A Ziesemer, Roos J Jutten, John E Harrison, Casper de Boer, Wiesje M van der Flier, Sietske AM Sikkes

“…For almost all tools (36/37, 97%), construct validity was assessed through evaluation of clinical or biological associations or relevant group differences. …”
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