Measuring trust in artificial intelligence: validation of an established scale and its short form by Melanie J. McGrath, Oliver Lack, James Tisch, Andreas Duenser

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Enhanced mixup for improved time series analysis by Khoa Tho Anh Nguyen, Khoa Nguyen, Taehong Kim, Ngoc Hong Tran, Vinh Dinh

“…Time series data analysis is crucial for real-world applications. While deep learning has advanced in this field, it still faces challenges, such as limited or poor-quality data. …”
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Induction of Convolutional Decision Trees for Semantic Segmentation of Color Images Using Differential Evolution and Time and Memory Reduction Techniques by Adriana-Laura López-Lobato, Héctor-Gabriel Acosta-Mesa, Efrén Mezura-Montes

“…Convolutional Decision Trees (CDTs) are machine learning models utilized as interpretable methods for image segmentation. …”
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ANALYSIS OF MEDICAL SERVICE CONTROL PROCESS IN THE SCOPE OF COMPULSORY HEALTH INSURANCE PROGRAM by M. A. Taranik, G. D. Kopanitsa

“…In respect that human factor influence on the main stages of the analyzed process, we propose to use fuzzy logic as an inference engine. The self-learning function of the system will provide case-based reasoning.…”
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iScene: An interpretable framework with hierarchical edge services for scene risk identification in 6G internet of vehicles by Wuchang Zhong, Siming Wang, Rong Yu

“…The risk identification model has fine interpretability by using recursive feature elimination cross validation (RFECV) with the Shapley additive explanation (SHAP) to analyze the importance of different features, and further elaborately design the Focal Loss function to tackle the disparity between the difficult and easy sample learning. …”
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A recurrent multimodal sparse transformer framework for gastrointestinal disease classification by V. Sharmila, S. Geetha

“…Classification is performed using an ensemble of random forest KNN, proximal policy optimization (PPO), and a sparse radial basis function (RBF) kernel to ensure accuracy and interpretability. …”
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SpaIM: single-cell spatial transcriptomics imputation via style transfer by Bo Li, Ziyang Tang, Aishwarya Budhkar, Xiang Liu, Tonglin Zhang, Baijian Yang, Jing Su, Qianqian Song

“…Overall, SpaIM represents a robust and generalizable framework for enriching ST data with single-cell information, enabling deeper insights into tissue architecture and cellular function.…”
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Neuronal plasticity and its role in Alzheimer’s disease and Parkinson’s disease by Israt Jahan, Mohammad Harun-Ur-Rashid, Md. Aminul Islam, Farhana Sharmin, Soad K. Al Jaouni, Abdullah M. Kaki, Samy Selim

“…Neuronal plasticity, the brain’s ability to adapt structurally and functionally, is essential for learning, memory, and recovery from injuries. …”
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The Influence of Climate Change and Socioeconomic Transformations on Land Use and NDVI in Ordos, China by Yin Cao, Zhigang Ye, Yuhai Bao

“…The results show that: (1) GEE has a powerful computing function, which can realize efficient and high-precision in-depth analysis of long-term multi-temporal remote sensing images and monitoring of land use change, and the accuracy of acquisition can reach 87%. …”
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Improving viral annotation with artificial intelligence by Zachary N. Flamholz, Charlotte Li, Libusha Kelly

“…We recently demonstrated that methods that leverage self-supervised representation learning can supplement statistical sequence representations for remote viral protein homology detection in the ocean virome and propose that consideration of the functional content of viral sequences allows for the identification of similarity in otherwise sequence-diverse viruses and viral-like elements for biological discovery. …”
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An Improved Whale Optimization Algorithm for the Integrated Scheduling of Automated Guided Vehicles and Yard Cranes by Shuaishuai Gong, Ping Lou, Jianmin Hu, Yuhang Zeng, Chuannian Fan

“…For container tasks of size 100, the objective function value (OFV) of the IWOA was reduced by 9.25% compared to the standard Whale Optimization Algorithm. …”
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Conservation and Presentation of the Byzantine Period on the Historical Peninsula of Istanbul: Urban Archaeological Values in Ibrahim Pasha Palace and Imaret of Beyazıt Complex by Neşe Karaçay, Aynur Çiftçi

“…Built in the 16th century, Ibrahim Pasha Palace was given the function of the Turk and Islamic Art Museum in 1966. …”
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The role of gut microbiota and metabolomic pathways in modulating the efficacy of SSRIs for major depressive disorder by Ying Jiang, Yucai Qu, Lingyi Shi, Mengmeng Ou, Zhiqiang Du, Zhenhe Zhou, Hongliang Zhou, Haohao Zhu

“…The machine learning model indicated that gut microbiota and metabolites are potential biomarkers for predicting SSRIs efficacy. …”
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Automatic Voltage Regulator Betterment Based on a New Fuzzy FOPI+FOPD Tuned by TLBO by Mokhtar Shouran, Mohammed Alenezi

“…To optimize the controller parameters, the Teaching–Learning-Based Optimization (TLBO) algorithm is utilized in conjunction with the Integral Time Absolute Error (ITAE) objective function, ensuring precise tuning for optimal control behavior. …”
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Repetitive concussions promote microglia-mediated engulfment of presynaptic excitatory input associated with cognitive dysfunction by Maryam Chahin, Julius Mutschler, Stephanie P. Dzhuleva, Clara Dieterle, Leidy Reyes Jimenez, Srijan Raj Bhattarai, Valerie Van Steenbergen, Florence M. Bareyre

“…Here, we used a model of bilateral midline-centered concussions in mice to show that repetitive concussions selectively induce impairments in learning ability compared to single-impact injuries. …”
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Mitigating spatial hallucination in large language models for path planning via prompt engineering by Hongjie Zhang, Hourui Deng, Jie Ou, Chaosheng Feng

“…To address this, we propose S2ERS, an LLM-based technique that integrates entity and relation extraction with the on-policy reinforcement learning algorithm Sarsa for optimal path planning. …”
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The long non-coding RNA RSDR protects against acute kidney injury in mice by interacting with hnRNPK to regulate DHODH-mediated ferroptosis by Bojun Li, Fangyou Lin, Baofeng Song, ShangTing Han, Zehua Ye, Yushi Sun, Peihan Wang, Yuqi Xia, Weimin Yu, Xiangjun Zhou, Fan Cheng

“…In vivo overexpression of RSDR attenuates ferroptosis and preserves renal function in male mice during AKI. Clinically, urinary RSDR levels are significantly reduced in patients with AKI, and machine learning analysis suggests potential utility in disease detection. …”
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Prediction of permeability and effective porosity values using ANN in Maleh field by Mohammed Essa Nassani, Ali Alaji

“…The network was optimized with a learning rate of 0.05, a momentum coefficient of 0.95, and the LOGSIG activation function, applied across layers. …”
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Basic Medical Emergency Treatment for Maxillofacial Injuries by Ilirian Lenjani, Fatime Lenjani, Mentor Mustafa, Agron Dogjani, Basri Lenjani

“…Beyond physical injuries, these cases significantly impact a patient's appearance and function, necessitating a multidisciplinary approach. …”
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ACCDW-YOLO: an effective detection method for small-sized pests and diseases in navel oranges by Kai Wang, Youliang Chen, Hanzheng Sun

“…The Wise Intersection over Union version 3 (WIoUv3) loss function was used to reduce the competitiveness of high-quality anchor boxes, reduce the harmful gradients generated by low-quality samples, and improve the overall performance of the model. …”
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