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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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…The proposed ANN model extracts the most useful information to differentiate different IS datasets. The network output is flexible and produces bounding boxes, instance segmentation, contour outlines (borders), intensities of the borders, and segmentations without borders. …”
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Identification of potential pathogenic genes associated with the comorbidity of rheumatoid arthritis and renal fibrosis using bioinformatics and machine learning by Jiao Qiu, Yalin Xu, Luyuan Tong, Xingchun Yang, Xiao Wu

“…Subsequently, functional enrichment analysis was performed to clarify the biological functions of these genes. Machine learning algorithms were used to screen for the hub RA-RF differential expression genes, and then a Logistic Regression (LR) model was constructed. …”
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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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Bile acids in follicular fluid: potential new therapeutic targets and predictive markers for women with diminished ovarian reserve by Shu Ding, Wenyan Li, Xianglei Xiong, Manfei Si, Chuyu Yun, Yuqian Wang, Lixuan Huang, Sen Yan, Xiumei Zhen, Jie Qiao, Xinyu Qi

“…Then, we constructed a diagnostic model for DOR using the random forest algorithm based on five different BAs. Additionally, we performed a functional enrichment analysis on differentially expressed genes (DEGs) in GCs from both DOR and NOR patients. …”
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Large Language Model–Assisted Risk-of-Bias Assessment in Randomized Controlled Trials Using the Revised Risk-of-Bias Tool: Usability Study by Jiajie Huang, Honghao Lai, Weilong Zhao, Danni Xia, Chunyang Bai, Mingyao Sun, Jianing Liu, Jiayi Liu, Bei Pan, Jinhui Tian, Long Ge

“…We calculated accuracy rates, Cohen κ, and time differentials. ResultsWe identified significant differences between Cochrane and reviewer judgments, particularly in domains 1, 4, and 5, likely due to different standards in assessing randomization and blinding. …”
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Artificial intelligence as a transforming factor in motility disorders–automatic detection of motility patterns in high-resolution anorectal manometry by Miguel Mascarenhas, Francisco Mendes, Joana Mota, Tiago Ribeiro, Pedro Cardoso, Miguel Martins, Maria João Almeida, João Rala Cordeiro, João Ferreira, Guilherme Macedo, Cecilio Santander

“…Abstract High-resolution anorectal manometry (HR-ARM) is the gold standard for anorectal functional disorders’ evaluation, despite being limited by its accessibility and complex data analysis. …”
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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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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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Identification of multiomics and immune infiltration-associated biomarkers for early gastric cancer: a machine learning-based diagnostic model development study by Kewei Du, Wenfei Hu, Shan Gao, Jianxin Gan, Chongge You, Shangdi Zhang

“…Methods We employed serum proteomics combined with bioinformatics to identify genes differentially expressed in the serum of non-metastatic GC patients. …”
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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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iCARE: An R package to build, validate and apply absolute risk models. by Parichoy Pal Choudhury, Paige Maas, Amber Wilcox, William Wheeler, Mark Brook, David Check, Montserrat Garcia-Closas, Nilanjan Chatterjee

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