Physics-Based SPICE-Compatible Compact Model of FLASH Memory With Poly-Si Channel for Computing-in-Memory Applications by Jung Rae Cho, Donghyun Ryu, Donguk Kim, Wonjung Kim, Yeonwoo Kim, Changwook Kim, Yoon Kim, Myounggon Kang, Jiyong Woo, Dae Hwan Kim

“…Recently, three-dimensional FLASH memory with multi-level cell characteristics has attracted increasing attention to enhance the capabilities of artificial intelligence (AI) by leveraging computingin-memory (CIM) systems. …”
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Application of Image Denoising Method Based on Two-Way Coupling Diffusion Equation in Public Security Forensics by Yiqun Wang, Changpeng He, Zhenjiang Li

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Enhancing feature selection for multi-pose facial expression recognition using a hybrid of quantum inspired firefly algorithm and artificial bee colony algorithm by Mu Panliang, Sanjay Madaan, Siddiq Ahmed Babikir Ali, Gowrishankar J., Ali Khatibi, Anas Ratib Alsoud, Vikas Mittal, Lalit Kumar, A. Johnson Santhosh

“…Abstract Facial expression recognition (FER) has advanced applications in various disciplines, including computer vision, Internet of Things, and artificial intelligence, supporting diverse domains such as medical escort services, learning analysis, fatigue detection, and human-computer interaction. …”
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Translational Science in Vascular Aging: From Bench to Bedside—Insights from a VascAgeNet Roundtable by Elisabetta Bianchini, Lynn Roth, Pierre Boutouyrie, Smriti Badhwar, Achim Schwarz, Vincenzo Gemignani, Rosa Maria Bruno, Bernhard Hametner, Chloe Park, Giacomo Pucci, Ioana Mozos, Dimitrios Terentes-Printzios, Rachel E. Climie, Andrea Guala, Jordi Alastruey, Christopher C. Mayer

“…The regulatory landscape, particularly for software medical devices, must evolve to keep pace with technological advancements like artificial intelligence. Industry efforts focus on developing devices or solutions for vascular aging assessment and treatment strategies, yet face hurdles in large-scale adoption and reimbursement. …”
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Physically Meaningful Surrogate Data for COPD by Harry J. Davies, Ghena Hammour, Hongjian Xiao, Patrik Bachtiger, Alexander Larionov, Philip L. Molyneaux, Nicholas S. Peters, Danilo P. Mandic

“…The rapidly increasing prevalence of debilitating breathing disorders, such as chronic obstructive pulmonary disease (COPD), calls for a meaningful integration of artificial intelligence (AI) into respiratory healthcare. …”
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The impact of green technology innovation, pro-environmental behavior and eco-design on green new product success: examine the moderating role of green corporate image by Shahid Mahmood, Asifa Iqbal, El-Sayed M El-kenawy, Marwa M Eid, Amel Ali Alhussan, Doaa Sami Khafaga

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Development and Validation of a Machine Learning Method Using Vocal Biomarkers for Identifying Frailty in Community-Dwelling Older Adults: Cross-Sectional Study by Taehwan Kim, Jung-Yeon Choi, Myung Jin Ko, Kwang-il Kim

“…Voice recordings were collected with a tablet device during the Korean version of the PDT, and we preprocessed audio data to remove background noise before feature extraction. Three artificial intelligence (AI) models were developed for identifying frailty status: SpeechAI (using speech data only), DemoAI (using demographic data only), and DemoSpeechAI (combining both data types). …”
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Smart Driving Hardware Augmentation by Flexible Piezoresistive Sensor Matrices with Grafted‐on Anticreep Composites by Kaifeng Chen, Hua Yang, Ang Wang, Linsen Tang, Xin Zha, Ndeutala Selma Iita, Hong Zhang, Zhuoxuan Li, Xinyu Wang, Wei Yang, Shaoxing Qu, Zongrong Wang

“…Abstract Signal drift and hysteresis of flexible piezoresistive sensors pose significant challenges against the widespread applications in emerging fields such as electronic skin, wearable equipment for metaverse and human‐AI (artificial intelligence) interfaces. To address the creep and relaxation issues associated with pressure‐sensitive materials, a highly stable piezoresistive composite is proposed, using polyamide‐imide (PAI) fibers as the matrix and in situ grafted‐polymerized polyaniline (PANI) as the semi‐conducting layer. …”
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Challenges and Technology Trends in Implementing a Human Resource Management System: A Systematic Literature Review by Rahma Destriani, Raihansyah Yoga Adhitama, Dana Indra Sensuse, Deden Sumirat Hidayat, Erisva Hakiki Purwaningsih

“…Exciting technology trends offer promise for next-generation HRMS solutions, including artificial intelligence (AI), machine learning, predictive analytics, and mobile accessibility. …”
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Adjusting on-scene CPR duration based on transport time interval in out-of-hospital cardiac arrest: a nationwide multicenter study by Daseul Kim, Jae Yong Yu, Minha Kim, Gun Tak Lee, Sang Do Shin, Sung Yeon Hwang, Daun Jeong

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Targeted nanoliposomes for precision rheumatoid arthritis therapy: a review on mechanisms and in vivo potential by Rushikesh Girase, Nayan A. Gujarathi, Amey Sukhia, Sri Sai Nikitha Kota, Tulshidas S. Patil, Abhijeet A. Aher, Yogeeta O. Agrawal, Shreesh Ojha, Charu Sharma, Sameer N. Goyal

“…In the future, integrating these advanced liposomes with artificial intelligence, immunotherapy, and precision medicine holds great promise.…”
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STUDY OF COMPATIBILITY OF METHODS AND TECHNOLOGIES OF HIGH-LEVEL PROTOCOLS AND ERROR-CORRECTING CODES by Vladyslav Sharov, Olena Nikulina

“…Emerging technologies like quantum computing and artificial intelligence introduce both opportunities and threats, necessitating continuous innovation in these fields. …”
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Chemically Engineered GaN Thin Films for Light‐Stimulated Artificial Synapses by Xiaoqin Yang, Jiawen Lu, Luyu Zhao, Xiaorui Han, Zhongwei Bai, Peiwen Quan, Liangshuai Xie, Liang Li, Haoxuan Sun, Mark Hermann Rummeli, Bingcheng Luo, Hong Gu

“…In this research, an effective strategy for developing photonic synapses using GaN‐based materials in neuromorphic computing and bio‐realistic artificial intelligence systems is presented.…”
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Comparative analysis of deep learning models for crack detection in buildings by S. Siva Rama Krishnan, M. K. Nalla Karuppan, Adil O. Khadidos, Alaa O. Khadidos, Shitharth Selvarajan, Saarthak Tandon, Balamurugan Balusamy

“…The development of Artificial Intelligence (AI) techniques, provide favourable solutions in-order to handle, manage and solve building cracks, through analysis using deep image neural network models, that perform classification of the building with crack images. …”
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Business Venturing in Regulated Markets—Taxonomy and Archetypes of Digital Health Business Models in the European Union: Mixed Methods Descriptive and Exploratory Study by Sascha Noel Weimar, Rahel Sophie Martjan, Orestis Terzidis

“…Three drivers contributing to DHT business model innovation were identified: direct targeting of patients and private individuals, use of artificial intelligence as an enabler, and development of DHT-specific reimbursement pathways. …”
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Advancing Horticultural Crop Loss Reduction Through Robotic and AI Technologies: Innovations, Applications, and Practical Implications by H. W. Gammanpila, M. A. Nethmini Sashika, S. V. G. N. Priyadarshani

“…The introduction of advanced technologies such as robotics and artificial intelligence (AI) holds great promise in mitigating crop losses and bolstering productivity in the field of horticulture. …”
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Transformation and articulation of clinical data to understand students’ clinical reasoning: a scoping review by Marie-France Deschênes, Nicolas Fernandez, Kathleen Lechasseur, Marie-Ève Caty, Busra Meryem Uctu, Yasmine Bouzeghrane, Patrick Lavoie

“…Understanding how these cognitive operations can be observed and assessed is crucial, particularly considering the rapid growth of artificial intelligence and its integration into health education. …”
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Deep Learning for Discrimination of Early Spinal Tuberculosis from Acute Osteoporotic Vertebral Fracture on CT by Liu W, Wang J, Lei Y, Liu P, Han Z, Wang S, Liu B

“…The findings underscore the potential of artificial intelligence for revolutionizing spinal disease diagnostics, and have substantial clinical implications.Keywords: deep learning, spinal tuberculosis, osteoporotic vertebral fractures, CT imaging, diagnostic accuracy…”
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Digital Tools, Technologies, and Learning Methodologies for Education 4.0 Frameworks: A STEM Oriented Survey by Angeliki Boltsi, Konstantinos Kalovrektis, Apostolos Xenakis, Periklis Chatzimisios, Costas Chaikalis

“…These constitute smart sensors, Artificial Intelligence (AI) and Robotics. In this context, University graduates need to prepare themselves with complex problem solving and interdisciplinary problems. …”
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AI-based automatic patient positioning in a digital-BGO PET/CT scanner: efficacy and impact by John A. Kennedy, Tala Palchan-Hazan, Zohar Keidar

“…Abstract Background A recently released digital solid-state positron emission tomography/x-ray CT (PET/CT) scanner with bismuth germanate (BGO) scintillators provides an artificial intelligence (AI) based system for automatic patient positioning. …”
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