An Intelligent System for Light and Air Conditioner Control Using YOLOv8 by Ikharochman Tri Utomo, Muhammad Nauval Firdaus, Sisdarmanto Adinandra, Suatmi Murnani

“…Specifically, the problem lies in the lack of automated control mechanisms that adjust energy use based on real-time occupancy data. This study aims to develop and evaluate a system that employs a camera integrated with the YOLOv8 algorithm to detect human presence and optimize energy usage by controlling lights and air conditioning. …”
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Development of specific marker for PCR diagnostic of late blight of potato caused by Phytophthora infestans using RAPD based SCAR methodology by Touseef Hussain, Bir Pal Singh, Firoz Anwar

“…Amplification products obtained from random amplified monomorphic DNA (RAPD) reactions were cloned and sequenced, and two extended primer sets (PITH2-F/PITH2-R) were designed from the resulting data that were used to detect sequenced-characterized DNA markers. …”
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Awareness Regarding Minimally Invasive Dentistry among Dentists of Karachi by Sara Ikram Khan, Shama Asghar, Adeena Abid, Farwah Aftab

“…Specialists were excluded from the study Methodology: A study questionnaire was distributed to the participants which comprised of demographic details, professional data and Likert-Scale based questions to asses respondent’s agreement level related to caries activity, assessment, detection and treatment. …”
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Time Intervals in the Pathway to Diagnosis of Patients with Cancer by Joseba Rabanales-Sotos, Ángel López-González, Blanca Sánchez-Galindo, Gema Blázquez-Abellán, Juan Manuel Téllez-Lapeira, Jesús López-Torres-Hidalgo

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Beyond the numbers: App-enabled stroke prediction system for high-risk individuals in imbalanced datasets by Abrar Faiaz Eram, Aliva Sadnim Mahmud, Marwan Mostafa Khadem, Md Amimul Ihsan

“…While machine learning approaches show promise in stroke prediction, current research often relies on synthetic data to address dataset imbalance, potentially compromising real-world model performance in clinical settings. …”
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A Hybrid Machine Learning Approach for Predicting Power Transformer Failures Using Internet of Things-Based Monitoring and Explainable Artificial Intelligence by Emrah Aslan, Yildirim Ozupak, Feyyaz Alpsalaz, Zakaria M. S. Elbarbary

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High-resolution Solar Image Registration Using Unsupervised Deep Learning by Hao Zhang, Bo Liang, Xiaoli Yan, Song Feng, Ding Yuan, Yunfang Cai, Wei Dai

“…The proposed framework was evaluated on quiet Sun images from the New Vacuum Solar Telescope and active region (AR) images from the Goode Solar Telescope, covering both photospheric and chromospheric features. A synthetic data set with known transformations was also used to assess registration accuracy under controlled conditions. …”
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Compositional transformations can reasonably introduce phenotype-associated values into sparse features by George I. Austin, Tal Korem

“…Through analyses of both synthetic and vaginal microbiome data sets, we demonstrate that when the geometric mean is associated with a phenotype, sparse and CLR-transformed features will also become associated with it. …”
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Search for Kink Events in Variable Fermi-LAT Blazars by P. Peñil, H. Zhang, J. Otero-Santos, M. Ajello, S. Buson, S. Adhikari, A. Rico, J. Escudero Pedrosa, I. Agudo, D. Morcuende, A. Sota, V. Casanova, F. J. Aceituno

“…However, the limited availability of comprehensive polarized data restricted our ability to perform a thorough analysis across all data sets. …”
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Walking detection for Parkinson’s disease patients and healthy control subjects measured with a smartphone accelerometer using mean amplitude deviation algorithm by Milla Juutinen, Jari Ruokolainen, Juha Puustinen, Anu Holm, Mark van Gils, Antti Vehkaoja

“…We utilized inertial measurement unit data measured using smartphones from pre-existing datasets with pre-defined and labeled activities and free-living data containing continuously collected over three consecutive days. …”
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Standard echocardiography versus handheld echocardiography for the detection of subclinical rheumatic heart disease: a systematic review and meta-analysis of diagnostic accuracy by Mark Emmanuel Engel, Leila Hussein Abdullahi, Lisa Helen Telford, Eleanor Atieno Ochodo, Liesl Joanna Zuhlke

“…Meta-analytical results from five of the six included studies were as follows: sensitivity: 91.06% (80.46% to 100%) and specificity: 91.96% (85.57% to 98.36%) for the detection of definite RHD only and sensitivity: 62.01% (31.80% to 92.22%) and specificity: 82.33% (65.15% to 99.52%) for the detection of borderline RHD only.Conclusions HAND displayed good accuracy for detecting definite RHD only and modest accuracy for detecting any RHD but demonstrated poor accuracy for the detection of borderline RHD alone. …”
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A comparison of DNA methylation detection between HiFi sequencing and whole genome bisulfite sequencing in monozygotic twins with Down syndrome. by Kanyanee Promsawan, Chalurmpon Srichomthong, Monnat Pongpanich, Vorasuk Shotelersuk

“…Bisulfite sequencing (BS) remains the gold standard for methylation detection, while PacBio HiFi sequencing enables direct detection without chemical conversion. …”
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Deep Learning Model Compression and Hardware Acceleration for High-Performance Foreign Material Detection on Poultry Meat Using NIR Hyperspectral Imaging by Zirak Khan, Seung-Chul Yoon, Suchendra M. Bhandarkar

“…When integrated with advanced deep learning (DL) models, HSI systems can achieve high accuracy in detecting foreign materials. However, the high dimensionality of HSI data, the computational complexity of DL models, and the high-paced nature of poultry processing environments pose challenges for real-time implementation in industrial settings, where the speed of imaging and decision-making is critical. …”
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OA-MEN: a fusion deep learning approach for enhanced accuracy in knee osteoarthritis detection and classification using X-Ray imaging by Xiaolu Ren, Xiaolu Ren, Lingxuan Hou, Shan Liu, Peng Wu, Siming Liang, Haitian Fu, Chengquan Li, Ting Li, Yongjing Cheng

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Detection of plasmid-borne mcr genes conferring colistin resistance in MDR and XDR Gram-negative bacterial isolates from an Egyptian hospital by Doaa Yousef, Ahmed Soliman, Fatma Sonbol, Amal Abo Kamer, Hazem Ramadan, Mahmoud Farghali

“…Colistin resistance was phenotypically detected utilizing the broth microdilution technique. …”
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Prioritizing image processing and big data analytics factors for software development using DEMATEL-choquet method in bipolar complex fuzzy context by Ruimin Ma

“…The theory is based on bipolar fuzzy set (BFS) and complex fuzzy set (CFS), which enable the association of both positive membership degree (PMD) and negative membership degrees (Ne-MD) within the unit square of the complex plane. …”
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Development of a strain-specific PCR as a diagnostic tool for surveillance, detection, and monitoring of vancomycin-resistant Enterococcus faecium during outbreak by Artur J. Sabat, Lilli Gard, Monika A. Fliss, Viktoria Akkerboom, Robin F. J. Benus, Mariette Lokate, Andreas Voss, Erik Bathoorn

“…Abstract Introduction Vancomycin-resistant Enterococcus faecium (VREfm) poses a significant concern in healthcare settings, particularly during outbreaks. Traditional antibiotic susceptibility testing may fail to detect occult vancomycin resistance, and long culture times delay diagnosis. …”
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Spectral Precision: Recent Advances in Matrix-Assisted Laser Desorption/Ionization Time-of-Flight Mass Spectrometry for Pathogen Detection and Resistance Profiling by Ayman Elbehiry, Adil Abalkhail

“…This review aims to provide a comprehensive update on recent advances in MALDI–TOF MS, focusing on its technological evolution, clinical applications, and future potential in microbial diagnostics and resistance detection. We conducted a critical synthesis of peer-reviewed literature published over the last decade, with emphasis on innovations in sample preparation, instrumentation, data interpretation, and clinical integration. …”
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QPPLab: A generally applicable software package for detecting, analyzing, and visualizing large-scale quasiperiodic spatiotemporal patterns (QPPs) of brain activity by Nan Xu, Behnaz Yousefi, Nmachi Anumba, Theodore J. LaGrow, Xiaodi Zhang, Shella Keilholz

“…Quasi-periodic patterns (QPPs) are prominent spatiotemporal brain dynamics observed in functional neuroimaging data, reflecting the alternation of high and low activity across brain regions and their propagation along cortical gradients. …”
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The potential relationship between EasyNAT system Tt values and Cobas z480 Ct values in the detection of SARS-Cov-2 by Lu-Qing Zheng, Qing-Yong Wang

“…Conclusions: The safe, simple, fast, accurate, and automatic EasyNAT system used in conjunction with a PCR system might be a better choice for the detection of SARS-CoV-2 in hospitals, especially in settings without sophisticated PCR facilities. …”
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