Detection of Flexible Pavement Surface Cracks in Coastal Regions Using Deep Learning and 2D/3D Images by Carlos Sanchez, Feng Wang, Yongsheng Bai, Haitao Gong

“…Developments in artificial intelligence and machine learning (AI/ML) can aid in the progress of more robust and precise detection algorithms. …”
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Managing population health through prevention and early detection of cancer and other non-communicable diseases: a call for action by A. S. Ibraheem, C. B. Nwosu, R. K. Omowumi, A. O. Ayodapo

“…A policy framework that includes: cancer registries; usage of information for planning and evaluating screening and early detection programs; and alternative models for promoting community health, integrated care and illness management; and control of non-communicable diseases. …”
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Performance and limitations of linkage-disequilibrium-based methods for inferring the genomic landscape of recombination and detecting hotspots: a simulation study by Raynaud, Marie, Gagnaire, Pierre-Alexandre, Galtier, Nicolas

“…Here, we evaluate the ability of one of the most widely used coalescent-based programs, LDhelmet, to infer a genomic landscape of recombination with the biological characteristics of a human-like landscape including hotspots. …”
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A Deep Learning Model Leveraging Time-Series System Call Data to Detect Malware Attacks in Virtual Machines by A. Alfred Raja Melvin, Jaspher W. Kathrine, Andrew Jeyabose, D. Cenitta

“…This research proposes deploying an Intrusion Detection System (IDS) at the Hypervisor layer, utilizing time series system call data and employing a Convolutional Neural Network (CNN) model to accurately detect the presence of malicious (malware) computer programs within virtual machines. …”
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Differential Methylation of Genomic Regions Associated with Heteroblasty Detected by M&M Algorithm in the Nonmodel Species Eucalyptus globulus Labill. by Rodrigo Hasbún, Carolina Iturra, Soraya Bravo, Boris Rebolledo-Jaramillo, Luis Valledor

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DAViT: A Domain-Adapted Vision Transformer for Automated Pneumonia Detection and Explanation Using Chest X-Ray Images by Michael Fu, Chakkrit Tantithamthavorn, Trung Le

“…Pneumonia, a leading cause of mortality worldwide, especially among children under five, is typically diagnosed via chest X-rays. However, detecting it is challenging as expert radiologists must discern subtle patterns. …”
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A deep learning approach for heart disease detection using a modified multiclass attention mechanism with BiLSTM by Umesh Kumar Lilhore, Sarita Simaiya, Monish Khan, Roobaea Alroobaea, Abdullah M. Baqasah, Majed Alsafyani, Afnan Alhazmi

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Economic evaluations of screening strategies for the early detection of colorectal cancer in the average-risk population: A systematic literature review. by Joan Mendivil, Marilena Appierto, Susana Aceituno, Mercè Comas, Montserrat Rué

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Fraud detection skills of Thai Gen Z accountants: The roles of digital competency, data science literacy and diagnostic skills by Narinthon Imjai, Watcharawat Promma, Nimnual Visedsun, Berto Usman, Somnuk Aujirapongpan

“…The results showed that digital competency have significant direct effects on the fraud detection skills, with diagnostic skills playing a key role in the process. …”
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A Review of Open Remote Sensing Data with GIS, AI, and UAV Support for Shoreline Detection and Coastal Erosion Monitoring by Demetris Christofi, Christodoulos Mettas, Evagoras Evagorou, Neophytos Stylianou, Marinos Eliades, Christos Theocharidis, Antonis Chatzipavlis, Thomas Hasiotis, Diofantos Hadjimitsis

“…Landsat data have allowed the detection of multi-decadal trends in erosion since 1972, and Sentinel-2 has provided enhanced spatial and temporal resolutions since 2015. …”
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Insights of immune cell heterogeneity, tumor-initiated subtype transformation, drug resistance, treatment and detecting technologies in glioma microenvironment by Tongzheng Chen, Wenbin Ma, Xin Wang, Qile Ye, Xintong Hou, Yiwei Wang, Chuanlu Jiang, Xiangqi Meng, Ying Sun, Jinquan Cai

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Converging Technologies for Health Prediction and Intrusion Detection in Internet of Healthcare Things With Matrix- Valued Neural Coordinated Federated Intelligence by Sarah A. Alzakari, Arindam Sarkar, Mohammad Zubair Khan, Amel Ali Alhussan

“…The proposed architecture has several unique benefits like 1) it provides a thorough examination of the incorporation of blockchain technology with FL for healthcare 5.0; 2) it takes the lead in creating a robust healthcare monitoring system that utilizes blockchain technology and IDS to identify and prevent harmful actions; 3) the development of crucial blockchain elements by means of mutual neuronal synchronization of Artificial Neural Networks (ANNs) showcases pioneering progress in safeguarding medical data; and 4) the framework underwent a thorough empirical assessment and outperformed existing methods in accurately predicting intrusion detection and disease prediction, achieving an impressive efficiency rate of 97.75% and 98% respectively. …”
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A Pilot Study on Mixed-Reality Approaches for Detecting Upper-Limb Dysfunction in Multiple Sclerosis: Insights on Cerebellar Tremor by Etty Sabatino, Miriam Moschetta, Andrea Lucaroni, Giacinto Barresi, Carlo Ferraresi, Jessica Podda, Erica Grange, Giampaolo Brichetto, Anna Bucchieri

“…While the HoloLens2 shows promise in detecting motor impairments, further refinement is required to improve sensitivity for those without overt cerebellar symptoms. …”
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Comparing sampling methods to monitor population abundance while accounting for imperfect detection: An application of N-mixture models on Orthoptera by Alberto Mattia Nodari, Marco Bonifacino, Elena Eustacchio, Marco Bonelli, Mattia Falaschi

“…N-mixture models were performed on the 14 most abundant species detected with both sampling methods. While detection probability was similar between the two sampling methods, the precision of detection estimates was markedly higher when using sweep netting. …”
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Метод оценки частоты выполнения фрагментов кода последовательной программы by Alexander Shalimov

“…The goal of this article is to consider the task of determining the execution frequency of program basic blocks. This task is important for such applications as program optimization, paralleling program execution, computing resources allocation, program compaction, and malicious software detection. …”
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Comparison of fragment analysis and PCR electrophoresis methods for the detection of FLT3‑ITD mutations in patients with acute myeloid leukemia by I. E. Maslyukova, D. V. Kurochkin, E. V. Martynova, V. I. Bakhtina, T. N. Subbotina

“…Thus, for detection of the FLT3-ITD we recommend using the fragment analysis method.…”
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Tumor-derived immunoglobulin-like transcript 3 inhibition reshapes the immunosuppressive tumor microenvironment and potentiates programmed cell death ligand 1 blockade immunotherap... by Leirong Wang, Qing Li, Yanxin Sun, Shuyun Wang, Xuebing Fu, Xiufen Wang, Yan Zheng, Aiqin Gao, Yuping Sun, Juan Li

“…In vivo knockdown of gp49b enhanced anti-tumor immunity and suppressed tumor progression by counteracting TAM- and dysfunctional T cell-induced tumor microenvironment immunosuppression. …”
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The impact of ultrasound contrast-enhanced fusion virtual navigation technology-guided microwave ablation (MWA) and standard MWA on the local tumor progression of hepatocellular ca... by Ping Zhang, Qiong Zhou, Zhiyong Zeng

“…Conclusion Ultrasound contrast-enhanced fusion virtual navigation, as a novel ultrasound contrast-enhanced technique, enabled the visualization of liver lesions that are indistinct on 2D ultrasound imaging, significantly enhancing lesion detection and microwave ablation efficiency. It also reduced local progression and recurrence rates, demonstrating significant clinical utility. …”
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Detection of potential complications in cancer survivors after chemotherapy and development of a regional care network: the PASCA feasibility study by Romain Buono, Olivia Pérol, Olivia Pérol, Olivia Pérol, Meyssane Djebali, Mélodie Borja, Alicia Abadie, Stéphane Morisset, Anne-Sophie Michallet, Aude Fléchon, Helen Boyle, Emmanuelle Nicolas-Virelizier, Philippe Rey, Yann Guillermin, Souad Assaad, Amine Belhabri, Laure Lebras, Jean-Yves Blay, Béatrice Fervers, Béatrice Fervers, Béatrice Fervers, Mauricette Michallet, Mauricette Michallet

“…The PASCA “Parcours de Santé au cours du Cancer [in English: healthcare pathways with cancer]” feasibility study was conducted in the Léon Bérard Comprehensive Cancer Center (Lyon, France) to assess the feasibility of a complications detection program, in cancer survivors who have received intensive chemotherapy. …”
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Effectiveness of a scalable group-based education and monitoring program, delivered by health workers, to improve control of hypertension in rural India: A cluster randomised contr... by Dilan Giguruwa Gamage, Michaela A Riddell, Rohina Joshi, Kavumpurathu R Thankappan, Clara K Chow, Brian Oldenburg, Roger G Evans, Ajay S Mahal, Kartik Kalyanram, Kamakshi Kartik, Oduru Suresh, Nihal Thomas, Gomathyamma K Mini, Pallab K Maulik, Velandai K Srikanth, Simin Arabshahi, Ravi P Varma, Rama K Guggilla, Fabrizio D'Esposito, Thirunavukkarasu Sathish, Mohammed Alim, Amanda G Thrift

“…In intervention clusters, trained CHWs delivered a group-based intervention to people with hypertension. The program, conducted fortnightly for 3 months, included monitoring of BP, education about hypertension, and support for healthy lifestyle change. …”
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