Applications of machine learning in gravitational-wave research with current interferometric detectors by Elena Cuoco, Marco Cavaglià, Ik Siong Heng, David Keitel, Christopher Messenger

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Predicting laboratory solution kit accuracy using artificial intelligence: a data-driven approach by Abdulwahab AL-Deib, Eshraq Alsherif, Husameddin Abuzgaia, Amel Rabti, Ruwaida Rtemi, Salem Elfard, Sheren Njaim

“…The study highlights AI’s transformative role in laboratory standardization, particularly through machine learning (ML) techniques like linear regression and random forests. Challenges like data quality, understanding the model, and following regulations were tackled using explainable AI (XAI) and strict validation methods. …”
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Effects of cytochalasin D on relaxation process of skinned taenia cecum and carotid artery from guinea pig by Satoko Mihashi, Masaru Watanabe

“…Cytochalasin D, an inhibitor of actin polymerization, significantly suppressed the force during relaxation both in skinned taenia cecum and carotid artery. The data fitting analysis of the relaxation processes indicates that cytochalasin D accelerates slow (latch-like) bridge dissociation. …”
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Development of agricultural pests detection and identification system based on the technology of wireless transmission by Song Gelian, Han Ruizhen, Zhang Yonghua, He Yong

“…In structure, every single platform includes function modules like image acquisition, image processing, feature extraction and classification, GPS and transmission module. …”
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STRATEGY FOR IMPLEMENTING SCHOOL-BASED MANAGEMENT IN THE ELIGIBILITY PROCESS FOR ONE-ROOF SCHOOLS TOWARDS STANDARDIZED SCHOOLS by Nur Aziza, Nurul Ulfatin, Raden Bambang Sumarsono

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Enhanced Monte Carlo-assisted Safety Monitoring in Process Industries: a Tank System Case Study by Huxiao Shi, David Javier Castro Rodriguez, Morena Vitale, Gabriele Baldissone, Micaela Demichela

“…Safety is a critical concept in process industries. However, the complexity as the characteristic of process industries brings different challenges when conducting industrial monitoring for the sake of system safety, which is summarized as lacking a holistic view of target systems. …”
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Correlation of ferritin and glutathione peroxidase 4 (GPX4) level as a marker of ferroptosis process in endometrioma by Rina Nulianti, Hartanto Bayuaji, Mulyanusa Amarullah Ritonga, Tono Djuwantono, Dian Tjahyadi, Anita Rachmawati, Sri Ratna Dwiningsih, Aisyah Shofiatun Nisa, Putri Nadhira Adinda Adriansyah

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Classification of Cavendish Banana Quality using Convolutional Neural Network by Ajeng Ayu Suryani, Ummi Athiyah, Yohani Setiya Rafika Nur, Warto

“…The results indicate the effectiveness of the confusion matrix in identifying training data and detecting images. It can be concluded that using more training data leads to higher accuracy, as fewer image reading errors occur when fewer images are processed. …”
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Understanding health communication processes and challenges: cultural insights from Katkari tribal in western Maharashtra, India by Manisha Gore, Ritika Tiwari, Reshma Patil

“…Engagement of local communities in the process will lead to an effective implementation of health communication policies.…”
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Stainless Steel 316L Fabricated by Fused Deposition Modeling Process: Microstructure, Geometrical and Mechanical Properties by Maria Zaitceva, Anton Sotov, Anatoliy Popovich, Vadim Sufiiarov

“…The applied printing and post-processing parameters allowed us to obtain a density of 98%. …”
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Real-Time Detection and Localization of Force on a Capacitive Elastomeric Sensor Array Using Image Processing and Machine Learning by Peter Werner Egger, Gidugu Lakshmi Srinivas, Mathias Brandstötter

“…Sensor output was captured via a MUCA breakout board and Arduino Nano 33 IoT, transmitting the Ratio of Mutual Capacitance data for further analysis. A Python-based processing pipeline filters and visualizes the data with real-time clustering and adaptive thresholding. …”
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Influence of Friction-Stir-Processing Parameters on the Microstructure and Local Mechanical Properties of an Aluminium-6% Magnesium-H18 Alloy by Samir Mourad Chentouf, Philippe Grandmont, Mohammad Saadati, Nora Amimer, Mohammad Jahazi

“…One major challenge of friction stir processing (FSP) is its sensitivity to parameters like advancing and rotational speeds. …”
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Unlocking barriers and strategies of halal certification for micro and small enterprises in Indonesia: Analytic network process approach by Muhammad Anwar Fathoni, Prima Dwi Priyatno, Faizi, Fadhli Suko Wiryanto, Widarto Rachbini, Suryani

“…This analysis contributes to the broader discourse on enhancing MSE participation in the halal market, offering implications for both local and international stakeholders seeking to optimize the halal certification process. Acknowledgment The authors would like to express their sincere gratitude to the Ministry of Education, Culture, Research, and Technology of the Republic of Indonesia (Kemendikbudristek RI) for providing financial support for this investigation. …”
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Recent Advances in Understanding <i>R</i>-Process Nucleosynthesis in Metal-Poor Stars and Stellar Systems by Avrajit Bandyopadhyay, Timothy C. Beers

“…The rapid neutron-capture process (<i>r</i>-process) is responsible for the creation of roughly half of the elements heavier than iron, including precious metals like silver, gold, and platinum, as well as radioactive elements such as thorium and uranium. …”
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Reflected Light Microscopic Iron ore image dataset for iron ore characterizationMendeley Data by Shama Firdaus, Shamama Anwar, Subrajeet Mohapatra, Prabodha Ranjan Sahoo

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Electronic Health Data Records for Diabetes Patients Based on Deep Learning Models: A Review by Dalal Hamid, Mohammed Younis

“…CNNs excel at processing spatial data, while RNNs are adept at managing sequential data, although both have limitations. …”
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A practical guide to apply AI in childhood cancer: Data collection and AI model implementation by Shuping Wen, Stefan Theobald, Pilar Gangas, Karina C. Borja Jiménez, Johannes H.M. Merks, Reineke A. Schoot, Marcel Meyerheim, Norbert Graf

“…This encompasses data from traditional sources, such as patient data and electronic health records (EHRs), as well as emerging sources like social media data and social determinants of health. …”
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Assessing Coastal Degradation Through Spatiotemporal Earth Observation Data Cubes Analytics and Multidimensional Visualization by Ioannis Kavouras, Ioannis Rallis, Nikolaos Bakalos, Anastasios Doulamis

“…Recently, the term data cube introduced in the scientific community and frameworks like Google Earth Engine and Open Data Cubes have emerged as a solution to earth observation data harmonization, federation, and exchange framework; however, these sources either completely lack the ability to process climate, meteorological, waves, sea lever rising, etc., data from open sources, like CORDEX and WCRP, or preprocessing is required. …”
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Charting the Growth of Text Summarisation: A Data-Driven Exploration of Research Trends and Technological Advancements by Anukriti Kaushal, Chia-Chen Lin, Rishabh Chauhan, Rajeev Kumar

“…Text summarisation plays a pivotal role in efficiently processing large volumes of textual data, making it an indispensable tool across diverse domains such as healthcare, legal, education, and journalism. …”
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AI-enabled OSA screening using EEG data analysis and English listening comprehension insights by Zhihong Gu, Yanbing Fan

“…IntroductionThe integration of artificial intelligence into the diagnosis and management of sleep-disordered breathing presents a transformative opportunity to enhance clinical outcomes, particularly through novel methods like EEG data analysis. Leveraging advancements in auditory-linguistic modeling, this study aligns with the growing interest in innovative diagnostic technologies for sleep-related conditions as highlighted in the "Novel Technologies in the Diagnosis and Management of Sleep-Disordered Breathing" research topic. …”
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