Advanced Detection and Therapeutic Monitoring of Atherosclerotic Plaque Using CD36-Targeted Lipid Core Probe by Tingting Gao, Siqi Gao, Maolin Qiao, Chuanlong Lu, Heng Wang, Hongjiu Zhang, Lizheng Li, Shule Wang, Ruijing Zhang, Honglin Dong

“…The goal is to specifically detect high-risk plaque, enabling early diagnosis and intervention. …”
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Efficient Image Processing Technique for Detecting Spatio-Temporal Erosion in Boron Nitride Exposed to Iodine Plasma by Ahmed S. Afifi, Janith Weerasinghe, Karthika Prasad, Igor Levchenko, Katia Alexander

“…Erosion detection in materials exposed to plasma-generated species, such as those used for space propulsion systems, is critical for ensuring their reliability and longevity. …”
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Serum and plasma as a good candidates of body fluids for detection lung cancer by FTIR liquid biopsy by Jolanta Smok-Kalwat, Stanisław Góźdź, Paweł Macek, Zuzanna Kalwat, Maryna Khalavka, Wioletta Rzad, Andrzej Stepulak, Joanna Depciuch

“…At present, different studies have investigated potential of serum, plasma and sputum being alternative biofluids for lung cancer detection using FTIR. However, until now, it has not been shown which biofluid; among serum and plasma, that can serve as the best material medium for detecting lung cancer with highest levels of accuracy. …”
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PEARL: An Adaptive and Explainable Hardware Trojan Detection Using Open Source and Enterprise Large Language Models by Ripan Kumar Kundu, Khurram Khalil, Eric Garcia, Ethan Grassia, Prasad Calyam, Khaza Anuarul Hoque

“…However, there are no current studies that explore, study, and compare the applicability of open-source vs. enterprise LLMs for efficient HT detection and explanation of the detected HT. To close the gap, we propose an innovative HT detection and explanation method by leveraging the knowledge of a pre-trained LLM, namely enterprise application programming interface (API)-enabled a Generative Pre-trained Transformer (GPT)-3.5 Turbo, Google Gemini 1.5 Pro and open-source LLMs: Meta AI Llama-3.1 and DeepSeek AI DeepSeek-V2 models, which have already been trained on massive and diverse datasets and is capable of providing the reasoning of the detected HT. …”
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MXT-YOLOv7t: An Efficient Real-Time Object Detection for Autonomous Driving in Mixed Traffic Environments by Afdhal Afdhal, Khairun Saddami, Mirshal Arief, Sugiarto Sugiarto, Zahrul Fuadi, Nasaruddin Nasaruddin

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Protocol for a systematic review of reviews on training primary care providers in dermoscopy to detect skin cancers by Leo Ng, Louisa G Gordon, Nikki McCaffrey, Jessica Bucholc, Kevin Chai, Ann Livingstone, April Murphy

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Sustainable phytoprotection: a smart monitoring and recommendation framework using Puma Optimization for potato pathogen detection by Amal H. Alharbi, Faris H. Rizk, Khaled Sh. Gaber, Marwa M. Eid, Marwa M. Eid, El-Sayed M. El-kenawy, El-Sayed M. El-kenawy, Pushan Kumar Dutta, Doaa Sami Khafaga

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Development of Lower Limb Exoskeleton Rehabilitation Robot Framework Based on Multi-Modal Motion Intent Detection by Yuefei Wang, Yudong Fang, Wujia Huang, Zhen Liu, Chenglong Zhao, Muxin Du, Liucun Zhu

“…The EMG-based motor command correction framework involves the EMG dry electrode sensor immobilized to the muscle areas of the affected limb where activation is possible. By detecting muscle activation with the EMG sensor, the framework corrects the intentional control commands after EEG acquisition and processing. …”
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Comparison of diagnostic image modalities for the detection of Achilles tendon tendinopathy using ankle magnetic resonance imaging by Joohyun Lee, Jee Young Lee, Keum Nae Kang, Soyoon Park, Jae Ni Jang, Sukhee Park, Young Uk Kim

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Tracking a large‐scale and highly toxic Arctic algal bloom: Rapid detection and risk communication by Evangeline Fachon, Robert S. Pickart, Gay Sheffield, Emma Pate, Mrunmayee Pathare, Michael L. Brosnahan, Eric Muhlbach, Kali Horn, Nathaniel N. Spada, Anushka Rajagopalan, Peigen Lin, Leah T. McRaven, Loreley S. Lago, Jie Huang, Frank Bahr, Dean A. Stockwell, Katherine A. Hubbard, Thomas J. Farrugia, Kathi A. Lefebvre, Donald M. Anderson

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Concurrent Tuberculosis and COVID-19 Testing from a Single Sputum Specimen for Enhanced Disease Detection by Anura David, Leisha Genade, Lesley Erica Scott, Manuel Pedro da Silva, Lyndel Singh, Wendy Stevens, Neil Martinson

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Enhancing laparoscopic surgery training: a comparative study of traditional models and automated error detection system by Yitian Luo, Jingjie Wang, Zongting Yan, Jingjing He, Liye Fu, Shenghan Wang, Ying Han, Yaoyu Fu, Xiandi Wang, Kang Li, Rong Yin, Dan Pu

“…Traditional training models rely on subjective instructor evaluations, which are time-consuming and lack objective error detection. This study evaluates the efficacy of an Automated Error Detection System (AEDS), designed to provide real-time feedback on mistouch error counts, in improving laparoscopic skill acquisition compared to conventional methods. …”
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Artificial intelligence-assisted colonoscopy with or without mucosal exposure device for detection of colorectal adenomas: Meta-analysis by Azizullah Beran, Tarek Nayfeh, Daryl Ramai, Almaza Albakri, Nasir Saleem, Marco Spadaccini, Cesare Hassan, Alessandro Repici, John J. Guardiola, Douglas K. Rex

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In vitro performance of DIAGNOdent laser fluorescence device for dental calculus detection on human tooth root surfaces by Thomas E. Rams, Abdulaziz Y. Alwaqyan

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Remote, smart telemonitoring of COVID-19 survivors for early detection of deterioration in cardiac health (the PARTMO study) by Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Josephine Sau Fan Chow, Nutan Maurya, Nutan Maurya, Susan San Miguel, Rumbidzai Teramayi, Ahilan Parameswaran, Annamarie D’Souza, Gregory Melbourne, Joseph Descallar, Young Juhn, Enoch Chan, Jerome Pong

“…All the data were reviewed for arrhythmia detection and escalated to the participant’s general practitioner (if detected) to determine the appropriate intervention. …”
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Detection of GFAP and D‐Dimer in a Point‐of‐Care Test for Large Vessel Occlusion Ischemic Stroke by Edoardo Gaude, Danielle Murphy, Jakob V.E. Gerstl, Ari D. Kappel, Adam A. Dmytriw, Noah L.A. Nawabi, Saef Izzy, Rodolfo E. Alcedo Guardia, Juan C. Vicenty‐Padilla, Toby Gropen, Nirav J. Patel, David S. Liebeskind, Adnan H. Siddiqui, Alfred Pokmeng See, Mohammed A. Aziz‐Sultan, Joshua D. Bernstock

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DNA barcoding of Culicoides biting midges (Diptera: Ceratopogonidae) and detection of Leishmania and other trypanosomatids in southern Thailand by Piyapat Tepboonrueng, Thanapat Pataradool, Rungfar Boonserm, Luke W. Rimmer, Kanok Preativatanyou, Sakone Sunantaraporn, Padet Siriyasatien

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Plasma biomarkers for early detection of alzheimer’s disease: a cross-sectional study in a Japanese cohort by Masahito Kubota, Shogyoku Bun, Keisuke Takahata, Shin Kurose, Yuki Momota, Yu Iwabuchi, Toshiki Tezuka, Hajime Tabuchi, Morinobu Seki, Yasuharu Yamamoto, Ryo Shikimoto, Yu Mimura, Takayuki Hoshino, Sho Shimohama, Natsumi Suzuki, Ayaka Morimoto, Azusa Oosumi, Yuka Hoshino, Kenji Tai, Hirofumi Aoyagi, Yoshiaki Sato, Junro Kuromitsu, Jin Nakahara, Masaru Mimura, Daisuke Ito

“…P-tau217 exhibited a linear increase with disease progression. All biomarkers correlated strongly with logical memory scores. …”
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Clinical Significance of Rotational Thromboelastometry (ROTEM) for Detection of Early Coagulopathy in Trauma Patients: A Retrospective Study by Mohammad Asim, Ayman El-Menyar, Ruben Peralta, Suresh Arumugam, Bianca Wahlen, Khalid Ahmed, Naushad Ahmad Khan, Amani N. Alansari, Monira Mollazehi, Muhamed Ibnas, Ammar Al-Hassani, Ashok Parchani, Talat Chughtai, Sagar Galwankar, Hassan Al-Thani, Sandro Rizoli

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Detection of Extended X-Ray Emission around the PeVatron Microquasar V4641 Sgr with XRISM by Hiromasa Suzuki, Naomi Tsuji, Yoshiaki Kanemaru, Megumi Shidatsu, Laura Olivera-Nieto, Samar Safi-Harb, Shigeo S. Kimura, Eduardo de la Fuente, Sabrina Casanova, Kaya Mori, Xiaojie Wang, Sei Kato, Dai Tateishi, Hideki Uchiyama, Takaaki Tanaka, Hiroyuki Uchida, Shun Inoue, Dezhi Huang, Marianne Lemoine-Goumard, Daiki Miura, Shoji Ogawa, Shogo B. Kobayashi, Chris Done, Maxime Parra, Maria Díaz Trigo, Teo Muñoz-Darias, Montserrat Armas Padilla, Ryota Tomaru, Yoshihiro Ueda

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