Synaptic transistor implementing potentiation or depression via field distribution modulation of dual dielectric layers by single-polarity pulsed voltage stimuli by Jieun Kim, Jung Wook Lim, Chohyeon Park, Chaerin Yu, Jaehee Lee

“…Understanding and simulating the synaptic plasticity mechanisms of the human brain are crucial for advancing neuromorphic computers for artificial intelligence (AI) and humanoid applications. This study designs, fabricates, and characterizes a dual-gate dielectric synaptic device that utilizes interfacial charge traps to mimic long-term potentiation (LTP) and long-term depression (LTD), which are essential for learning and memory. …”
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The Use of AI in Mental Health Services to Support Decision-Making: Scoping Review by Hassan Auf, Petra Svedberg, Jens Nygren, Monika Nair, Lina E Lundgren

“… BackgroundRecent advancements in artificial intelligence (AI) have changed the care processes in mental health, particularly in decision-making support for health care professionals and individuals with mental health problems. …”
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Problems and Barriers Related to the Use of AI-Based Clinical Decision Support Systems: Interview Study by Godwin Denk Giebel, Pascal Raszke, Hartmuth Nowak, Lars Palmowski, Michael Adamzik, Philipp Heinz, Marianne Tokic, Nina Timmesfeld, Frank Brunkhorst, Jürgen Wasem, Nikola Blase

“…A promising technology in this context is artificial intelligence (AI). The application of AI can support health care providers in their daily work in various ways. …”
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Review of Challenges in Performing Real-World Evidence Studies for Nonprescription Products by Maihöfner C, Mallick-Searle T, Vollert J, Kalita P, Sood Sethi V

“…Novel approaches using smartphone apps and artificial intelligence may provide new opportunities to collect RWE for nonprescription products, but these areas of research are in their infancy. …”
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Development of improved deep learning models for multi-step ahead forecasting of daily river water temperature by Mehdi Gheisari, Jana Shafi, Saeed Kosari, Samaneh Amanabadi, Saeid Mehdizadeh, Christian Fernandez Campusano, Hemn Barzan Abdalla

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A Novel and Automated Approach to Detect Sea- and Land-Based Aquaculture Facilities by Maxim Veroli, Marco Martinoli, Arianna Martini, Riccardo Napolitano, Domitilla Pulcini, Nicolò Tonachella, Fabrizio Capoccioni

“…The results demonstrate that the approach proposed can identify, characterize, and geolocate sea- and land-based aquaculture structures without performing any post-processing procedure, by directly applying customized deep learning and artificial intelligence algorithms.…”
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Identifying the Latitude and Longitude of ATMs in ATM Networks by Niloofar Haghjoo, Mohammad rahmati, Ali Zare Mirakabad

“…This data is indispensable and plays a cardinal role in the implementation of a multitude of artificial intelligence algorithms.   Methods The ATMLP algorithm comprises three primary stages. …”
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Imaging Diagnostics, Biomarkers, and Emerging Trends in Orthopedic Research and Treatment by Gabriela Oliwia Trestka, Wiktoria Domino, Urszula Zelik, Maria Przygoda, Joanna Śnieżna, Kamila Stępień, Sabina Adamczyk, Wojciech Florczak, Jagienka Włodyka, Jakub Dziewic, Karol Dzwonnik

“…Finally, emerging technologies like artificial intelligence, smartphones, 4DCT, and 3D printing of implants are poised to revolutionize orthopedic diagnostics and treatment. …”
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Machine learning for the diagnosis accuracy of bipolar disorder: a systematic review and meta-analysis by Yi Pan, Pushi Wang, Bowen Xue, Yanbin Liu, Xinhua Shen, Shiliang Wang, Xing Wang

“…With the growing utilization of artificial intelligence in mental health, researchers are endeavoring to create AI-based diagnostic models. …”
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European ILD registry algorithm for self-assessment in interstitial lung diseases (eurILDreg ASA-ILD). by Ekaterina Krauss, Laurenz H Claas, Silke Tello, Jennifer Naumann, Sandra Wobisch, Stefan Kuhn, Raphael W Majeed, Karen Moor, Maria Molina-Molina, Oisin Byrne, Rebecca Borton, Marlies S Wijsenbeek, Nik Hirani, Carlo Vancheri, Bruno Crestani, Andreas Guenther, eurILDreg investigators

“…Plymouth, MN, USA), along with usage instructions. Artificial intelligence software (ArtiQ) will analyze spirometry maneuvers in real-time, ensuring compliance with recent ERS/ATS criteria and providing automated feedback. …”
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AI-Driven Plant Health Assessment: A Comparative Analysis of Inception V3, ResNet-50 and ViT with SHAP for Accurate Disease Identification in Taro by Valeria Maeda-Gutiérrez, Juan José Oropeza-Valdez, Luis C. Reveles-Gómez, Cristian Padron-Manrique, Osbaldo Resendis-Antonio, Luis Octavio Solís-Sánchez, Hector A. Guerrero-Osuna, Carlos Alberto Olvera Olvera

“…This study addresses the challenges of Taro disease identification by employing two key strategies: integrating explainable artificial intelligence techniques to interpret deep learning models and conducting a comparative analysis of advanced architectures Inception V3, ResNet-50, and Vision Transformers for classifying common Taro diseases, including leaf blight and mosaic virus, as well as identifying healthy leaves. …”
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Asymmetric representation of symmetric semantic information in the human brain by Jiaxin Wang, Kiichi Kawahata, Antoine Blanc, Naoya Maeda, Shinji Nishimoto, Satoshi Nishida

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Risk factors and machine learning prediction models for intrahepatic cholestasis of pregnancy by Yingchun Ren, Xiaoying Shan, Gengchao Ding, Ling Ai, Weiying Zhu, Ying Ding, Fuzhou Yu, Yun Chen, Beijiao Wu

“…The existing literature exhibits a paucity of studies employing artificial intelligence to predict ICP. Therefore, developing machine learning-based diagnostic and severity classification models for ICP holds significant importance. …”
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Design of an Integrated Model Combining CycleGAN, PPO, and Vision Transformer for Adaptive Scene Rendering in the Metaverse by Durga Prasad Kavadi, Kailash Chandra Mishra, Sai Babu Veesam, Mudimela Madhusudhan, Palacharla Ravi Kumar, Pannangi Naresh, Yuvaraju Chinnam

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Incidence, mortality, and global burden of retinoblastoma in 204 countries worldwide from 1990 to 2021: Data and systematic analysis from the Global Burden of Disease Study 2021 by Linyan Wang, Jianing Chen, Yunhan Shen, Grace Loy Ming Hooi, Shuohan Wu, Feng Xu, Hao Pei, Jianpeng Sheng, Tiansheng Zhu, Juan Ye

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Conservation in action: Cost-effective UAVs and real-time detection of the globally threatened swamp deer (Rucervus duvaucelii) by Ravindra Nath Tripathi, Karan Agarwal, Vikas Tripathi, Ruchi Badola, Syed Ainul Hussain

“…Uncrewed aerial vehicles (UAVs) have proven to be successful tools for ecological monitoring, providing excellent visual resolution and the ability to cover large areas with spatial accuracy. Artificial Intelligence has further improved the capabilities of UAVs vision through object detection. …”
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An approach for accurate identification and monitoring of species in mangrove forests based on multi-source spectral data and deep learning by Monterrubio-Martínez Erandi, Trujillo-Acatitla Rubicel, Tuxpan-Vargas José, Moreno-Casasola Patricia

“…By leveraging multi-source data and the capabilities of remote sensing and artificial intelligence technologies, this approach offers a groundbreaking solution for monitoring mangrove ecosystems. …”
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A morphometric signature to identify ductal carcinoma in situ with a low risk of progression by Marcelo Sobral-Leite, Simon P. Castillo, Shiva Vonk, Hendrik A. Messal, Xenia Melillo, Noomie Lam, Brandi de Bruijn, Yeman B. Hagos, Myrna van den Bos, Joyce Sanders, Mathilde Almekinders, Lindy L. Visser, Emma J. Groen, Petra Kristel, Caner Ercan, Leyla Azarang, Jacco van Rheenen, E. Shelley Hwang, Yinyin Yuan, Grand Challenge PRECISION Consortium, Renee Menezes, Esther H. Lips, Jelle Wesseling

“…To identify features associated with progression, we developed an artificial intelligence-based DCIS morphometric analysis pipeline (AIDmap) on hematoxylin-eosin-stained (H&E) tissue sections. …”
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Educating the digital generation: the role of virtual communities by E. M. Kharlanova, N. V. Sivrikova, S. V. Roslyakova, E. G. Chernikova

“…According to forecasts related to the near future, interaction in communities through ones digital counterparts and artificial intelligence will become a prerequisite for successful performance. …”
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A Physics-Based Hyper Parameter Optimized Federated Multi-Layered Deep Learning Model for Intrusion Detection in IoT Networks by Chirag Jitendra Chandnani, Vedik Agarwal, Shlok Chetan Kulkarni, Aditya Aren, D. Geraldine Bessie Amali, Kathiravan Srinivasan

“…The sudden uptick in the ubiquitous nature of IoT devices ranging from fitness watches to aircraft has led to a surge of cyber-attacks. Artificial Intelligence powered Intrusion Detection Systems (IDS) are being used recently to combat this increasing surge of attacks in the IoT environment. …”
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