Planet Mass Function around M Stars at 1–10 au: A Plethora of Sub-Earth Mass Objects by Yayaati Chachan, Eve J. Lee

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Improvements in Bone Disorganization and Pseudo-Fracture Healing in Hypophosphatasia Following Asfotase Alfa Therapy May Be Detectable by the ALIGNOGRAM Before Changes in Bone Radi... by Roger Zebaze, Simon Zhang, Cat Shore-Lorenti, Cherie Chiang, Frances Milat, Peter Ebeling

“…We show that improvements in bone disorganization were detectable as early as 3 months after treatment initiation—before changes on X-ray or bone scintigraphy were detected. …”
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Establishing a high sensitivity detection method for SARS-CoV-2 IgM/IgG and developing a clinical application of this method by Chunyan Zhang, Lei Zhou, Hao Liu, Sibing Zhang, Yaping Tian, Junli Huo, Fei Li, Yao Zhang, Bo Wei, Dan Xu, Jinwei Hu, Jiayi Wang, Yuxuan Cheng, Wenjie Shi, Xiuli Xu, Jianping Zhou, Peipei Sang, Xudong Tan, Weiwei Wang, Minjie Zhang, Bin Wang, Yujun Zhou, Kan Zhang, Kunlun He

“…COVID-19 is caused by SARS-CoV-2 infection and was initially discovered in Wuhan. This outbreak quickly spread all over China and then to more than 20 other countries. …”
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Experimental Investigations to Study the Effectiveness of Cepstral Features to Detect Surface Fatigue Wear Development in a FZG Spur Geared System Subjected to Accelerated Tests by Muniyappa AMARNATH, I.R. PRAVEEN KRISHNA, Ramalingam KRISHNAMURTHY

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Spatiotemporal Pattern Detection of Ground Deformations Induced by Extreme Rainfall using InSAR EGMS: The case of Cortina d’Ampezzo after Vaia Storm by R. Eskandari, M. Scaioni

“…Some slight deceleration has been also detected. No initiation (or reactivation) of the stable zones was witnessed, and the portions with high magnitude of pre-event velocities are the ones whose displacement rates have been remarkably modified due to the severe event.…”
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StApneaNet: A Deep Learning-Based Automatic Sleep Stage Adaptive Apnea Detection Network Using Single Channel EEG Signal by Suvasish Saha, Shaikh Anowarul Fattah, Mohammad Saquib

“…Both apnea prediction and sleep stage prediction are jointly optimized in the joint model that is initially pre-trained and later integrated as a non-trainable block with the trainable decision fusion block inside the decision model for the final apnea event detection. …”
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Informative value of whole-body magnetic resonance imaging with diffusion-weighted images for the detection of bone marrow infiltration in patients with multiple myeloma (literatur... by N. S. Lutsik, L. P. Mendeleeva, G. A. Yatsik

“…The presence of >1 bone marrow lesion larger than or equal to 5 mm on MRI is considered sufficient for the diagnosis of symptomatic MM, requiring initiation of treatment. MRI assessment of bone marrow is also possible with functional sequences such as diffusion-weighted imaging (DWI), which provide additional information about the bone marrow. …”
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Prevalence of microspirometry-detected chronic obstructive pulmonary disease in two European cohorts of patients hospitalised for acute myocardial infarction: a cross-sectional stu... by Pontus Andell, Tomas Jernberg, David Erlinge, Josefin Sundh, Stefan K James, Moman A Mohammad, Mehul Patel, Anna Björkenheim, Christer Janson, Christian Reitan, Robert F Storey, Jonas Oldgren, Robin Hofmann, Johan Lindbäck, Nadir Elamin, Bethany Moyle, William A E Parker, Axel Akerblom, Sofia Sederstam Lawesson, Kyriakos V Konstantinidis, Hannah McMellon, Jad El-Khoury, Raulin Surujbally

“…Objectives To establish the prevalence of clinically significant chronic obstructive pulmonary disease (COPD) and relevant characteristics in individuals with a significant smoking history who are hospitalised for acute myocardial infarction (MI).Design Cross-sectional study.Setting Hospital inpatients at 8 European centres (7 in Sweden, 1 in the UK).Participants 518 men or women (302 in Sweden, 216 in the UK) hospitalised for acute MI, aged 40 years or older, with a smoking history of at least 10 pack-years.Primary and secondary outcome measures The primary outcome was prevalence of detected significant COPD (Global Initiative for Chronic Obstructive Lung Disease stages 2–4), defined as a ratio of forced expiratory volume in 1 and 6 s (FEV1/FEV6) <0.7 and FEV1 <80% of the predicted value, measured using microspirometry. …”
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A Comprehensive Drift-Adaptive Framework for Sustaining Model Performance in COVID-19 Detection From Dynamic Cough Audio Data: Model Development and Validation by Theofanis Ganitidis, Maria Athanasiou, Konstantinos Mitsis, Konstantia Zarkogianni, Konstantina S Nikita

“… BackgroundThe COVID-19 pandemic has highlighted the need for robust and adaptable diagnostic tools capable of detecting the disease from diverse and continuously evolving data sources. …”
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Integrating Interpretability in Machine Learning and Deep Neural Networks: A Novel Approach to Feature Importance and Outlier Detection in COVID-19 Symptomatology and Vaccine Effic... by Shadi Jacob Khoury, Yazeed Zoabi, Mickey Scheinowitz, Noam Shomron

“…Our method bridges the gap between interpretable ML models and powerful deep learning (DL) architectures, providing comprehensive insights into the key drivers behind model predictions, especially in detecting outliers within medical data. We applied this method to analyze COVID-19 pandemic data from 2020, yielding intriguing insights. …”
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Assessment of Fraud Deterrence and Detection Procedures Used in a Web-Based Survey Study With Adult Black Cisgender Women: Description of Lessons Learned and Recommendations by Amber I Sophus, Jason W Mitchell

“…Each eligibility screener and associated survey entry was evaluated using 4 fraud deterrence features and 7 fraud detection benchmarks with corresponding decision rules. …”
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Early detection and management of extracranial arteriopathy reduces the incidence of silent cerebral infarcts in sickle cell anemia: a long-term prospective cohort study by Francoise Bernaudin, Cecile Arnaud, Annie Kamdem, Jenny Youn, Manuela Vasile, Isabelle Hau, Fouad Madhi, Aline Malterre, Celine Delestrain, Ralph Epaud, Camille Jung, Suzanne Verlhac

“…We hypothesized that detection/management of eICA-arteriopathy and wider use of hydroxyurea could reduce SCI-incidence. …”
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Mammography-based artificial intelligence for breast cancer detection, diagnosis, and BI-RADS categorization using multi-view and multi-level convolutional neural networks by Hongna Tan, Qingxia Wu, Yaping Wu, Bingjie Zheng, Bo Wang, Yan Chen, Lijuan Du, Jing Zhou, Fangfang Fu, Huihui Guo, Cong Fu, Lun Ma, Pei Dong, Zhong Xue, Dinggang Shen, Meiyun Wang

“…Abstract Purpose We developed an artificial intelligence system (AIS) using multi-view multi-level convolutional neural networks for breast cancer detection, diagnosis, and BI-RADS categorization support in mammography. …”
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A Hybrid Algorithm for Contour Thinning in Image Processing by Mamatov Narzullo, Niyozmatova Nilufar, Jalelova Malika, Samijonov Abdurashid, Samijonov Boymirzo

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Clinical value of combined detection of serum ferritin and N-terminal pro-brain natriuretic peptide in the assessment of Kawasaki disease in children over 1 year of age by Zhen-qing Liu, Wan-yu Jia, Peng Li, Chun-lan Song

“…The diagnostic efficacy of CALs can be further improved when NT-proBNP and serum ferritin are jointly detected.…”
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High-Precision Heterogeneous Satellite Image Manipulation Localization: Feature Point Rules and Semantic Similarity Measurement by Ruijie Wu, Wei Guo, Yi Liu, Chenhao Sun

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A Disposable Dopamine Sensor Based on Oxidized Cellulose Nanofibril-Modified SPCE by Feriel Boussema, Sondes Bourigua, Zayneb Jebali, Hatem Majdoub, Nicole Jaffrezic-Renault, Hamdi Ben Halima

“…In this work, TEMPO-oxidized cellulose nanofibrils (TOCNFs) extracted from marram grass (<i>Ammophilia arenaria</i>), harvested in the central western part of Tunisia, were utilized to modify disposable screen-printed carbon electrodes (SPCEs) for the sensitive detection of dopamine in biological fluids. Differential pulse voltammetry (DPV) measurements displayed a sensitivity of 7.92 µA/µM and a detection limit of 10 nM. …”
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Adaptive Multi-Sensor Fusion for SLAM: A Scan Context-Driven Approach by Yijing Zhang, Jia Liu, Runxi Cao, Yunxi Zhang

“…This descriptor, along with data from the IMU and vision sensors, is then used for state estimation, yielding initial pose estimates and motion information. Then, the scan context module uses the descriptor for environment recognition and loop closure detection, providing more accurate feature description and context information for fast loop closure matching. …”
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Revisiting the Nanoflow Cytometric Quantification of Extracellular Vesicles Under the Framework of ICH Q14 Guidelines by Ganghui Li, Qizhe Cai, Yanan Dong, Xiang Li, Xi Qin, Miaomiao Xue, Haifeng Song, Yi Wang

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Autonomous slip control inspired by human physiology for improved shared control strategy by Joana Matos, Patricia Capsi-Morales, Cristina Piazza

“…This work focuses specifically on slip detection methods, introducing improvements to the low-level controller to enable more autonomous grasping behavior during object holding. …”
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