Compound weather and climate extremes in the Asian region: science-informed recommendations for policy by R. Krishnan, Chirag Dhara, Takeshi Horinouchi, C. Kendra Gotangco Gonzales, C. Kendra Gotangco Gonzales, A. P. Dimri, A. P. Dimri, M. Singh Shrestha, P. Swapna, M. K. Roxy, Seok-Woo Son, Seok-Woo Son, D. C. Ayantika, Faye Abigail T. Cruz, Fangli Qiao

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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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An explainable Bi-LSTM model for winter wheat yield prediction by Abhasha Joshi, Biswajeet Pradhan, Subrata Chakraborty, Subrata Chakraborty, Renuganth Varatharajoo, Abdullah Alamri, Shilpa Gite, Chang-Wook Lee

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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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Global trends and research frontiers on machine learning in sustainable animal production in times of climate change: Bibliometric analysis aimed at insights and orientations for t... by Robson Mateus Freitas Silveira, Concepta Mcmanus, Iran José Oliveira da Siva

“…Finally, improving livestock production sustainability is particularly important, because a significant part of the projected increases in the global food demand is expected to come from livestock, and artificial intelligence will certainly help producers in decision-making processes, mainly in times of climate change.…”
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“Subtype-precise” therapy leads diagnostic and therapeutic innovations: a new pattern for precision treatment of breast cancer by ZHANG Siwei, MA Ding, JIANG Yizhou, SHAO Zhimin

“…Looking forward, the integration of emerging diagnostic tools, such as artificial intelligence, coupled with the continuous update of subtype-specific targets and targeted therapies, is expected to further refine and expand “subtype-precise” therapy. …”
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PlaceField2BVec: A bionic geospatial location encoding method for hierarchical temporal memory model by Zugang Chen, Shaohua Wang, Kai Wu, Guoqing Li, Jing Li, Jian Wang

“…Encoding geospatial location is a fundamental problem for geospatial artificial intelligence (GeoAI) research. In recent years, some methods (such as Place2Vec, Space2Vec, and Sphere2Vec) were proposed to encode geospatial point as a high-dimensional vector. …”
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Recent advances in anion exchange membrane technology for water electrolysis: a review of progress and challenges by Abdul Qayoom, Muhammad Shakeel Ahmad, H. Fayaz, Atika Qazi, Jeyraj Selvaraj, Rahadian Zainul, Krismadinata, Nasrudin Abd Rahim, Farruh Atamurotov, Thien Khanh Tran, Basma Souayeh, Natei Ermias Benti

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MFBTFF-Net: A Novel Multi-Frequency Brightness Temperature Feature Fusion Network for Global Lunar Surface Oxides Abundance Estimation With Chang'e-2 Lunar Microwave Sounder... by Yu Li, Zifeng Yuan, Sarah Mazhar, Zhiguo Meng, Yuanzhi Zhang, Jinsong Ping, Ferdinando Nunziata

“…In recent years, artificial intelligence technologies have been introduced to map oxides abundance on the lunar surface for their reliability and robustness. …”
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Mapping and Summarizing the Research on AI Systems for Automating Medical History Taking and Triage: Scoping Review by Elin Siira, Hanna Johansson, Jens Nygren

“… BackgroundThe integration of artificial intelligence (AI) systems for automating medical history taking and triage can significantly enhance patient flow in health care systems. …”
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Unlocking the Potential of Receptor-Based Approaches in Diabetes Treatment by Mohsina Patwekar, Faheem Patwekar, J. Pavan Kumar, P. Dharani Prasad, Nazia Malik, A. Venkata Badarinath, Prashanth Parupathi, Konatham Teja Kumar Reddy, Selvaraja Elumalai, Zainul Abedeen Ab Samad

“…Additionally, patient monitoring, adherence, and self-management will be greatly aided by the integration of digital health technology, telemedicine, and artificial intelligence (AI), thus leading to better treatment outcomes and patient quality of life. …”
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Innovative Deep Learning Architecture for the Classification of Lung and Colon Cancer From Histopathology Images by Menatalla M. R. Said, Md. Sakib Bin Islam, Md. Shaheenur Islam Sumon, Semir Vranic, Rafif Mahmood Al Saady, Abdulrahman Alqahtani, Muhammad E. H. Chowdhury, Shona Pedersen

“…This underscores the potential of artificial intelligence (AI) to significantly enhance diagnostic precision within clinical settings, portraying a promising avenue for improving patient care and outcomes. …”
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The Trifecta of Industry, Academic, and Health System Partnership to Improve Mental Health Care Through Smartphone-Based Remote Patient Monitoring: Development and Usability Study by C Neill Epperson, Rachel Davis, Allison Dempsey, Heinrich C Haller, David J Kupfer, Tiffany Love, Pamela M Villarreal, Mark Matthews, Susan L Moore, Kimberly Muller, Christopher D Schneck, Jessica L Scott, Richard D Zane, Ellen Frank

“…Rhythms, from the company Health Rhythms, is a smartphone platform that uses passively acquired smartphone data with artificial intelligence and predictive analytics to alert patients and providers to an emerging mental health crisis. …”
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From Acceptance to Dependence: Exploring Influences of Smart Healthcare on Continuous Use Intention of Mobile Health Services Among Older Adults with Chronic Illnesses in China by Jiacheng Luo, Kewei Zhang, Qianghong Huang, Shan Jiang, Younghwan Pan

“…As information technology and artificial intelligence advance rapidly, smart health services have become readily accessible. …”
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MSCPNet: A Multi-Scale Convolutional Pooling Network for Maize Disease Classification by Mehdhar S. A. M. Al-Gaashani, Reem Alkanhel, Muthana Ali Salem Ali, Mohammed Saleh Ali Muthanna, Ahmed Aziz, Ammar Muthanna

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MXenes in biosensing: Enhancing sensitivity and flexibility – A review of properties, applications, and future directions by Ali Mohammad Amani, Lobat Tayebi, Ehsan Vafa, Alireza Jahanbin, Milad Abbasi, Ahmad Vaez, Hesam Kamyab, Lalitha Gnanasekaran, Shreeshivadasan Chelliapan

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Pathological and radiological assessment of benign breast lesions with BIRADS IVc/V subtypes. should we repeat the biopsy? by Wesam Rjoop, Anwar Rjoop, Alia Almohtaseb, Lama Bataineh, Zeina Nser Joubi, Maha Gharaibeh, Abdalrahman Al-Qwabah, Yousef Alasheh, Ismail Matalka

“…There is a need for continuous research to improve the diagnosis and treatment of breast lesions and reduce false-positive rates by incorporating other methodologies such as sonoelastography and incorporating deep learning and artificial intelligence in the decision-making to eliminate unnecessary procedures.…”
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From chaos to order: optimizing fecal microbiota transplantation for enhanced immune checkpoint inhibitors efficacy by Anqi Lin, Aimin Jiang, Lihaoyun Huang, Yu Li, Chunyanx Zhang, Lingxuan Zhu, Weiming Mou, Zaoqu Liu, Jian Zhang, Quan Cheng, Ting Wei, Peng Luo

“…We outline critical research directions, encompassing the need for large-scale, multi-center randomized controlled trials, in-depth microbial ecology studies, and the integration of multi-omics approaches with artificial intelligence. Regulatory and ethical challenges are critically addressed, underscoring the imperative for standardized protocols and rigorous long-term safety assessments. …”
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