Expert-driven explainable artificial intelligence models can detect multiple climate hazards relevant for agriculture by Arthur Hrast Essenfelder, Andrea Toreti, Lorenzo Seguini

“…Here, we show how expert-driven and explainable artificial intelligence models can probabilistically detect multiple agriculture-related hazards. The models are trained using the work of agro-climatic experts who, over decades, operationally identified multiple climate hazards affecting agriculture in Europe. …”
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MultiDistiller: Efficient Multimodal 3D Detection via Knowledge Distillation for Drones and Autonomous Vehicles by Binghui Yang, Tao Tao, Wenfei Wu, Yongjun Zhang, Xiuyuan Meng, Jianfeng Yang

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Distinct CTC Specific RNA Profile Enables NSCLC Early Detection and Dynamic Monitoring of Advanced NSCLC by Xiaoyu Wang, Pi Ding, Wenjuan Xu, Lei Qiu, Jing Ren, Yucheng Fei, Zhili Wang, Cheng Li, Yufei Xing, Mingjing Shen, Yawen Zhu, Yun Guo, Na Sun, Renjun Pei, Minhua Shi

“…Abstract Circulating tumor cells (CTCs) hold significant potential as biomarkers for the diagnosis and management of non‐small cell lung cancer (NSCLC). However, their clinical utility is limited by the heterogeneity of CTC subtypes and the need for robust, quantitative assays. …”
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WCANet: An Efficient and Lightweight Weight Coordinated Adaptive Detection Network for UAV Inspection of Transmission Line Accessories by Jiawei Chen, Pengfei Shi, Mengyao Xu, Yuanxue Xin, Xinnan Fan, Jinbo Zhang

“…Accurate detection and timely management of high-voltage transmission accessories are crucial for ensuring the safe operation of power transmission. …”
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Advanced comparative analysis of machine learning algorithms for early Parkinson's disease detection using vocal biomarkers by Ajay Kumar, Jay Parkash Singh, Priyanka Paygude, Rachan Daimary, Sandeep Prasad

“…These findings support the integration of voice-based machine learning tools into clinical workflows, potentially enhancing early detection and management of PD.…”
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Real-Time Human Group Detection and Clustering in Crowded Environments Using Enhanced Multi-Object Tracking by Hyunmin Lee, Donggoo Kang, Hasil Park, Sangwoo Park, Dasol Jeong, Joonki Paik

“…While challenges such as misclassification due to incomplete data annotations and occlusions remain, our study showcases the potential of integrating spatial and temporal data to advance real-time group detection and tracking, aiming to improve crowd management systems in public spaces.…”
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The ultrasound study of the optic canal for detecting raised intracranial pressure (a literature review and critical analysis) by M. I. Andreytseva, S. S. Petrikov, L. T. Khamidova, A. A. Solodov

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A Review of Machine Learning and Transfer Learning Strategies for Intrusion Detection Systems in 5G and Beyond by Kinzah Noor, Agbotiname Lucky Imoize, Chun-Ta Li, Chi-Yao Weng

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Dataset Dependency in CNN-Based Copy-Move Forgery Detection: A Multi-Dataset Comparative Analysis by Potito Valle Dell’Olmo, Oleksandr Kuznetsov, Emanuele Frontoni, Marco Arnesano, Christian Napoli, Cristian Randieri

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The Youth Risk Index: psychometrics, predicting the initiation of early adolescent substance use, and the breadth of liability detected by Ty A. Ridenour, Ty A. Ridenour, Ty A. Ridenour, Nisha O'Shea Gottfredson, Jason Williams, Daniel S. Shaw, Maureen D. Reynolds, Cheryl A. Roberts, Richard Spoth, David R. Garnica-Agudelo, Idil Baran, Aysenil Belger, Diana H. Fishbein

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Anomaly Detection of Marine Diesel Engines: A Novel Approach using Transformer Neural Networks for Reconstruction and Residual Analysis by Qin Liang, Erik Vanem, Knut Erik Knutsen, Vilmar Æsøy, Houxiang Zhang

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The Necessity of CT Hip Scans in the Investigation of Occult Hip Fractures and Their Effect on Patient Management by Thomas Gatt, Daniel Cutajar, Lara Borg, Ryan Giordmaina

“…There was no significant difference between fracture detection rates when comparing one and two views of the pelvis. 82.4% (n = 89) of occult hip fractures were managed operatively. …”
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Early detection to improve outcome in people with undiagnosed psoriatic arthritis: the PROMPT research programme including RCT by Neil McHugh, Laura Bojke, Mel Brooke Turfrey, Rachel Charlton, Myka Ransom, Laura C Coates, Howard Collier, Claire Davies, Emma Dures, Philip Helliwell, Jana James, Anya Lissina, Vishnu B Madhok, Alison L Nightingale, Jonathan Packham, Catherine Smith, Eldon Spackman, Cerys Tassinari, William Tillett, Sarah T Brown

“…Aims and objectives The overall aim was to provide an evidence-based framework for recommendations on an effective and acceptable screening strategy for the early identification of PsA in people with psoriasis in primary care and their subsequent management. We also needed to ensure that the measures of outcome to assess the effectiveness of early detection encompassed aspects of early disease that were meaningful and important to patients. …”
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The Investigation of E-Business Trends by Using Social Network Analysis Technique during 1980 to 2015 by seyed mohammad jafar jalali, Elahe Mahizadeh

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Sustainable Parking Space Management Using Machine Learning and Swarm Theory—The SPARK System by Artur Janowski, Mustafa Hüsrevoğlu, Malgorzata Renigier-Bilozor

“…The integration of the YOLOv9 (You Only Look Once) segmentation algorithm with Artificial Bee Colony (ABC) optimization, combined with the use of crowdsourced data and deep learning for image analysis, significantly enhances the SPARK system’s operational efficiency. It enables rapid and precise detection of available parking spaces while ensuring robustness and continuous improvement. …”
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The challenges of managing a patient with concurrent pulmonary tuberculosis and sarcoidosis (a case report) by R. V. Tarasov, S. S. Sadovnikova, E. V. Krasnikova, L. N. Lepekha, A. N. Tikhonskaya, E. V. Ertseva, M. A. Bagirov

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Testicular appendix (hydatid of Morgagni) torsion in adult urological management: evaluation of treatment outcomes by I. S. Shormanov, D. N. Shedrov, D. Y. Garova, A. I. Ryzhkov

“…Accordingly, there are no clear algorithms for the management of such patients.Objective. To evaluate and compare long-term results of various treatment options for patients with testicular appendix torsion over the age of 18 years.Materials & methods. …”
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Sustainability of Audit Profession in Digital Technology Era: The Role of Competencies and Digital Technology Capabilities to Detect Fraud Risk by Fazlida Mohd Razali, Norhayati Sulaiman, Dewi Izzwi Abdul Manan, Jamaliah Said

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A deep learning approach to detect diseases in pomegranate fruits via hybrid optimal attention capsule network by P. Sajitha, A. Diana Andrushia, N. Anand, M.Z. Naser, Eva Lubloy

“…So this approach offers a framework, which is a feasible solution for automated detection of diseases in fruits, thereby benefiting farmers and supporting their farming operations.…”
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AI-driven smart agriculture using hybrid transformer-CNN for real time disease detection in sustainable farming by Zhuo Zeng, Tariq Mahmood, Yu Wang, Amjad Rehman, Muhammad Akram Mujahid

“…The findings affirm the AttCM-Alex model as a powerful tool for real-world agricultural applications, capable of enhancing disease detection systems’ accuracy and efficiency. This advancement not only supports better crop management practices but also contributes to sustainable agriculture and global food security.…”
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