Social Media Suicide Watch by Katherine Prothro

“…AI can be used to retrospectively analyze posts from individuals who died by suicide to identify patterns imperceptible to the human eye. These algorithms could then be applied to current users to more accurately identify at-risks populations. …”
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Introducing neuromodulation in deep neural networks to learn adaptive behaviours. by Nicolas Vecoven, Damien Ernst, Antoine Wehenkel, Guillaume Drion

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A rapid, affordable, and reliable method for profiling microbiome biomarkers from fecal images by Donghyeok Lee, Annemiek Maaskant, Huy Ngo, Roy C. Montijn, Jaco Bakker, Jan A.M. Langermans, Evgeni Levin

“…Tailor-made learning algorithms were created by integrating digital images of fecal samples with corresponding whole-genome sequenced microbial profiles. …”
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The urban heat Island effect: A review on predictive approaches using artificial intelligence models by Ali Najah Ahmed, Nouar AlDahoul, Nurhanani A. Aziz, Y.F. Huang, Mohsen Sherif, Ahmed El-Shafie

“…While conventional ML algorithms remain widely used, DL and hybrid models have shown superior performance in predictive accuracy. …”
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Genomic and Precision Medicine Approaches in Atherosclerotic Cardiovascular Disease: From Risk Prediction to Therapy—A Review by Andreas Mitsis, Elina Khattab, Michaella Kyriakou, Stefanos Sokratous, Stefanos G. Sakellaropoulos, Stergios Tzikas, Nikolaos P. E. Kadogou, George Kassimis

“…Notable findings include the identification of causal genetic variants such as <i>PCSK9</i> and <i>LDLR</i>, the development of polygenic risk scores for early prediction, and the use of deep learning algorithms for integrative multi-omics analysis. In addition, we highlight current and future therapeutic applications including PCSK9 inhibitors, RNA-based therapies, and CRISPR-based genome editing. …”
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Research progress and prospects of grating linear displacement measurement technology by ZHAO Zhicai, YU Hai, WAN Qiuhua, ZHAO Changhai, LI Yongjie

“…Compared with other linear displacement measurement technologies, grating-based linear displacement measurement techniques offer high measurement precision, strong resistance to interference, and the ease of implementing large-scale measurements, making it a current research focus. To advance the study of grating linear displacement measurement technology, this paper initially analyzes the measurement principles of three types of grating linear displacement measurement systems. …”
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Automatic Generation of Medical Case-Based Multiple-Choice Questions (MCQs): A Review of Methodologies, Applications, Evaluation, and Future Directions by Somaiya Al Shuraiqi, Abdulrahman Aal Abdulsalam, Ken Masters, Hamza Zidoum, Adhari AlZaabi

“…In this review, we explore various algorithms and techniques that have been developed for generating MCQs from medical case studies. …”
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A Review of Robot Fleet Management by Paulo H. C. Morais, Kelen C. T. Vivaldini, Edilson R. R. Kato, Roberto S. Inoue

“…This paper comprehensively reviews Robot Fleet Management (RFM), detailing current practices, challenges, and advancements in this critical domain. …”
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Hate Speech Detection Using Large Language Models: A Comprehensive Review by Aish Albladi, Minarul Islam, Amit Das, Maryam Bigonah, Zheng Zhang, Fatemeh Jamshidi, Mostafa Rahgouy, Nilanjana Raychawdhary, Daniela Marghitu, Cheryl Seals

“…Traditional methods for detecting hate speech, such as keyword matching, rule-based systems, and machine learning algorithms, often struggle to capture the subtle and context-dependent nature of hateful content. …”
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A Review of Intelligent Orchard Sprayer Technologies: Perception, Control, and System Integration by Minmin Wu, Siyuan Liu, Ziyu Li, Mingxiong Ou, Shiqun Dai, Xiang Dong, Xiaowen Wang, Li Jiang, Weidong Jia

“…By addressing key areas such as sensor technologies, object detection algorithms, and real-time control strategies, this review explores current challenges and future directions for intelligent orchard sprayer technology. …”
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Prevalence and associated factors of mammography uptake among the women aged 45 years and above: policy implications from the longitudinal ageing study in India wave I survey by Priyanka Sharma, Dipak Das, Divya Khanna, Atul Budukh, Anita Khokhar, Satyajit Pradhan, Ajay Kumar Khanna, Pankaj Chaturvedi, Rajendra Badwe

“…The national operational framework includes mammography as one of the investigation modalities under the algorithm for early detection and management of breast cancer. …”
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Texture Analysis in Volumetric Imaging for Dentomaxillofacial Radiology: Transforming Diagnostic Approaches and Future Directions by Elaine Dinardi Barioni, Sérgio Lúcio Pereira de Castro Lopes, Pedro Ribeiro Silvestre, Clarissa Lin Yasuda, Andre Luiz Ferreira Costa

“…In contrast, texture analysis uses sophisticated algorithms to extract quantitative information from imaging data, thus offering deeper insights into the spatial distribution and relationships of pixel intensities. …”
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X-ray modalities in the era of artificial intelligence: overview of self-supervised learning approach by Ivan Martinović, Shitong Mao, Mehdy Dousty, Wuqi Li, Milena Đukanović, Errol Colak, Ervin Sejdić

“…Self-supervised learning enables the creation of algorithms that outperform supervised pre-training methods in numerous computer vision tasks. …”
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Machine learning modeling and analysis of prognostic hub genes in cervical adenocarcinoma: a multi target therapy for enhancement in immunosurveillance by Madiha Jabeen Abbasi, Rashid Abbasi, ShuPeng Wu, Md Belal Bin Heyat, Ding Xianfeng, Huijie Jia, Aiwen Zheng

“…Results indicate high binding affinity of Imatinib compound into active pockets of BIRC5 which is confirmed by cell viability lab experiment. Current study demonstrates novel biomarkers and therapeutic drugs for in depth understanding of endocervical carcinogensis.…”
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Impact of Artificial Intelligence and Virtual Reality on Educational Inclusion: A Systematic Review of Technologies Supporting Students with Disabilities by Angelos Chalkiadakis, Antonia Seremetaki, Athanasia Kanellou, Maria Kallishi, Anastasia Morfopoulou, Marina Moraitaki, Sofia Mastrokoukou

“…Ethical concerns such as privacy and algorithmic bias are cited as key areas that need careful consideration. …”
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PVA: The Persistent Volume Autoscaler for Stateful Applications in Kubernetes by Ji-Hyun Na, Hyeon-Jin Yu, Hyeongbin Kang, Heeju Kang, Hee-Dong Lim, Jae-Hyuck Shin, Seo-Young Noh

“…We designed and implemented algorithms to achieve this, and evaluated the performance of the PVA across diverse storage solutions. …”
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Magnetic Cell-Mimetic Droplet Microrobots with Division and Exocytosis Capabilities by Shimin Yu, Weiwei Zhang, Yongzhi Feng, Xiang Zhang, Chuanhua Li, Shengjun Shi, Haocheng Wang, Tianlong Li

“…The first challenge in building a living robotic system inspired by life evolution is how to replicate the original form of life—the cell. However, current microrobots mimic cell motion control but fail to replicate the functional biological activities of cellular systems. …”
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Efficient Joint Transmit and Receive Beam Alignment via Sequential CNN LSTM Networks by Takumi Yoshida, Koji Ishibashi, Hiroki Iimori, Paulo Valente Klaine, Szabolcs Malomsoky

“…This paper introduces a deep learning-assisted joint transmit and receive beam tracking approach for uplink multiple-input multiple-output (MIMO) communication over millimeter wave (mmWave) channels. In current wireless networks, beam alignment between transmitter and receiver is necessary to guarantee a strong and stable connection. …”
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Improvement of quality of 3D printed objects by elimination of microscopic structural defects in fused deposition modeling. by Evgeniy G Gordeev, Alexey S Galushko, Valentine P Ananikov

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Survey on positioning technology based on signal of opportunity from low earth orbit by Jiawei He, Jiawei He, Shaojie Ni, Shaojie Ni, Honglei Lin, Honglei Lin, Zhe Liu, Zhe Liu, Zhibin Xiao, Zhibin Xiao

“….), this paper summarizes their signal characteristics and the current status of positioning research, and discusses the latest advancements in observable estimation algorithms. …”
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