AppCraft: Model-Driven Development Framework for Mobile Applications by Lyan Alwakeel, Kevin Lano, Hessa Alfraihi

“…The results demonstrate that AppCraft is applicable and beneficial for the automated generation of usable mobile apps, highlighting significant reductions in development time and effort.…”
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Contemporary digital sociology in search of meaning-making models: the proper and the actual. Review on articles from the research handbook of digital sociology edited by J. Skopek... by E. V. Andrianova, V. A. Davydenko, A. I. Rozmanov

“…The first part of this review presents the key ideas of 15 chapters, focusing on the foundational components of social  theory and their connections to the internet in daily life, digital  technologies for surveys and data processing, the significance  of mobile devices, big data, machine learning, agent-based  models of social phenomena, inclusive digital focus groups, social networking sites in professional contexts, online dating, partner selection based on digital information, the use of digital approaches in online markets, the application of YouTube in social sciences, and automated image analysis. A distinctive feature of the review is its exploration of the intersection between the digital and social spheres, framed as a contradiction between the proper (computer sciences) and the actual (social sciences), reflecting the search for meaning in communication and action within digital and social spaces.…”
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A Microfluidic Biosensor for Quantitative Detection of <i>Salmonella</i> in Traditional Chinese Medicine by Yutong Wu, Yang Liu, Jinchen Ma, Shanxi Zhu, Xiaojun Zhao, Huawei Mou, Xuanqi Ke, Zhisheng Wu, Yifei Wang, Sheng Lin, Wuzhen Qi

“…This entire process was automated using a portable device, and <i>Salmonella</i> concentration was analyzed via a phone application. …”
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Three-stage automatic operational modal analysis using mathematical mode elimination by density-based clustering method by A. Salar Mehrabad, A. Shooshtari

“…In recent years, there has been extensive research on automating OMA methods for modal parameter estimation. …”
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Zero-Shot Remote Sensing Scene Classification Based on Automatic Knowledge Graph and Dual-Branch Semantic Correlation Supervision by Chao Wang, Jiajun Yang, Tanvir Ahmed, Yang Zhao, Tong Zhang, Bing Sun, Tao Xie, Jie Wang, Tianyu Chen

“…&#x201D; This method starts with the scenes and automates the construction of a knowledge graph, &#x201C;scene-landscape-ground objects&#x201D; (ASLG-KG), by analyzing the composition and spatial distribution of ground objects in local regions. …”
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A deep learning based model for diabetic retinopathy grading by Samia Akhtar, Shabib Aftab, Oualid Ali, Munir Ahmad, Muhammad Adnan Khan, Sagheer Abbas, Taher M. Ghazal

“…Thus, the aim of this research is to develop an automated and efficient system for early detection and accurate grading of diabetic retinopathy severity with less time consumption. …”
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Protein identification using Cryo-EM and artificial intelligence guides improved sample purification by Kenneth D. Carr, Dane Evan D. Zambrano, Connor Weidle, Alex Goodson, Helen E. Eisenach, Harley Pyles, Alexis Courbet, Neil P. King, Andrew J. Borst

“…This issue is particularly problematic for self-assembling protein nanomaterials, where unexpected geometries may reflect novel assembly states, cross-contamination, or native proteins originating from the expression host. Here, we used an automated structure-to-sequence pipeline to first identify an unknown co-purifying protein found in several purified designed protein samples. …”
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Molecular characterization of putative antibiotic resistance determinant and virulence factors genes of Acinetobacter baumannii strains isolated from intensive care unit patients i... by Faris A. Alanazi, Khalid S. Almaary, Turki M. Dawoud, Mohamed A. El-Tayeb, Yahya B. Elbadawi, Ayman S. Mubarak, Ali M. Somily

“…Method: The A. baumannii isolates were confirmed by the VITEK-2 automated system and 16S rRNA phylogenetic relatedness. …”
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Setting and Reaching Targets with Computer-Assisted Cochlear Implant Fitting by Bart Vaerenberg, Geert De Ceulaer, Zoltán Szlávik, Patrizia Mancini, Andreas Buechner, Paul J. Govaerts

“…When recipients used the automated MAPs provided at switch-on, more than half (57%) of the 22 targets were already achieved before any further optimisation took place. …”
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Retinal Nerve Fiber Layer Thickness Progression after Robotic-Assisted Laparoscopic Radical Prostatectomy in Glaucoma Patients by Kazuyuki Hirooka, Kaori Ukegawa, Eri Nitta, Nobufumi Ueda, Yushi Hayashida, Hiromi Hirama, Rikiya Taoka, Yuma Sakura, Mari Yamasaki, Hiroyuki Tsunemori, Mikio Sugimoto, Yoshiaki Kiuchi

“…At 1 month and 1 day before and at 1 and 2 months after the RALP operation, 10 glaucoma patients underwent standard automated perimetry and optical coherence tomography. …”
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Boosting Cyberattack Detection Using Binary Metaheuristics With Deep Learning on Cyber-Physical System Environment by Alanoud Al Mazroa, Fahad R. Albogamy, Mohamad Khairi Ishak, Samih M. Mostafa

“…Thus, the study proposes an automated Cyberattack Detection using Binary Metaheuristics with Deep Learning (ACAD-BMDL) method in a CPS environment. …”
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Extracting Fruit Disease Knowledge from Research Papers Based on Large Language Models and Prompt Engineering by Yunqiao Fei, Jingchao Fan, Guomin Zhou

“…Under zero-shot conditions, K-Extract utilizes conversational LLMs to automate the extraction of fruit tree disease knowledge. …”
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Advancements in Public First Responder Programs for Out-of-Hospital Cardiac Arrest: An Updated Literature Review by Michael Kern, Gerrit Jansen, Bernd Strickmann, Thoralf Kerner

“…Smartphone-based systems offer advantages over traditional text messaging by providing real-time guidance and automated external defibrillator (AED) locations. Studies show improved outcomes with app-based alerts, including higher rates of early CPR, increased survival rates and improved neurological outcomes. …”
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Feasibility of an artificial intelligence phone call for postoperative care following cataract surgery in a diverse population: two phase prospective study protocol by Sarah Khavandi, Ernest Lim, Aisling Higham, Nick de Pennington, Amin Hatamnejad, Sohel Somani, Eric S Tam, Hannah H Chiu

“…A potential solution is using AI technology that can automate care delivery, increase effectiveness and decrease burdens placed on patients and the healthcare system. …”
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An explainable deep learning model for diabetic foot ulcer classification using swin transformer and efficient multi-scale attention-driven network by R. Karthik, Armaano Ajay, Anshika Jhalani, Kruthik Ballari, Suganthi K

“…To address this challenge, Deep Learning (DL) methods offer an efficient and automated approach to facilitate timely treatment and improve patient outcomes. …”
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APAH: An autonomous IoT driven real-time monitoring system for Industrial wastewater by Nishant Chavhan, Resham Bhattad, Suyash Khot, Shubham Patil, Aditya Pawar, Tejasvi Pawar, Palomi Gawli

“…APAH utilizes advanced technologies including, the Internet of Things (IoT) and Machine learning (ML) to provide real-time monitoring and control of wastewater treatment processes. Automated valve controls and real-time alerts enable timely intervention, preventing contamination and ensuring compliance with environmental standards. …”
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EXPERIENCE OF IMPLEMENTING THE DISTANCE E-COURSE “STATISTICAL METHODS IN PHARMACY” IN THE MATHEMATICAL TRAINING OF FUTURE PHARMACEUTICAL SPECIALISTS by Iryna Zhovtonizhko, Maryna Nessonova, Mariana Barannyk, Nadiia Sheykina, Olga Marchenko

“…It is demonstrated, using the example of the developed by the authors distance course “Statistical Methods in Pharmacy”, implemented with the LMS Moodle, that a successful combination of methodological approaches and innovative teaching methods, aimed at implementing a competency-based approach in education, along with modern information technology providing online access to educational content, including tools for feedback support, practical skills development, and automated self-assessment, ensures the effectiveness of achieving educational goals by learners and the formation of professional competencies defined by the educational program. …”
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Distribution of trial registry numbers within full-text of PubMed Central articles: implications for linking trials to publications and indexing trial publication types by Arthur M. Holt, Ang Michael Troy, Neil R. Smalheiser

“…They also potentially provide information to assist automated tools in assigning publication types to articles.…”
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Artificial intelligence‐based body composition analysis using computed tomography images predicts both prevalence and incidence of diabetes mellitus by Yoo Hyung Kim, Ji Won Yoon, Bon Hyang Lee, Jeong Hee Yoon, Hun Jee Choe, Tae Jung Oh, Jeong Min Lee, Young Min Cho

“…ABSTRACT Aim/Introduction We assess the efficacy of artificial intelligence (AI)‐based, fully automated, volumetric body composition metrics in predicting the risk of diabetes. …”
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Integrated SegFlow, µSIA, and UPLC for Online Sialic Acid Quantitation of Glycoproteins Directly from Bioreactors by Letha Chemmalil, Tanmay Kulkarni, Mathura Raman, Priya Singh, Yueming Qian, Chris Chumsae, Kyle McHugh, Zhuangrong Huang, Eric Hodgman, Michael C. Borys, Julia Ding, Gloria Li, Anthony Leone

“…The system consists of a micro‐sequential injection analyzer (µSIA) interfaced with SegFlow and an ultra performance liquid chromatography (UPLC). The fully automated architecture exemplifies the execution of online sampling, automatic sample preparation, and subsequent online UPLC analysis. …”
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