Volatile-Olfactory Profiles of cv. Arbequina Olive Oils Extracted without/with Olive Leaves Addition and Their Discrimination Using an Electronic Nose by Ítala M. G. Marx, Nuno Rodrigues, Ana C. A. Veloso, Susana Casal, José A. Pereira, António M. Peres

“…Arbequina oils extracted with or without the incorporation of olive leaves (100% and 99 ± 5% of correct classifications for leave-one-out and repeated K-fold cross-validation variants), being a practical tool for ensuring the label correctness if future commercialization is envisaged. …”
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FBI-Net: Frequency-Based Image Forgery Localization via Multitask Learning With Self-Attention by A-Rom Gu, Ju-Hyeon Nam, Sang-Chul Lee

“…Finally, in the decoder stage, region and edge information of the label are learned through multi-task learning to provide more extensive supervision for forged region localization; the edge stream will give a deeper understanding of features between forged and authentic images and help learn how to predict exquisite representations in images. …”
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Synthetic Receptors Decorated on Nanoparticles for Selective and Sensitive Glyphosate Detection by Ilgım Gokturk, Mamajan Ovezova, Gaye Ezgi Yilmaz, Deniz Turkmen, Fatma Yilmaz, Adil Denizli

“…The MIP@NPs integrated molecularly imprinted surface plasmon resonance (MIP SPR) nanosensor having synthetic molecular recognition elements yielded a novel biosensing platform for label-free detection and real-time monitoring of glyphosate pesticide. …”
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Effect of Fertilization with Ash from Biomass Combustion on the Fatty Acid Composition of Winter Rapeseed Oil by Ewa Szpunar-Krok, Anna Wondołowska-Grabowska

“…Environmental factors modified the accumulation of fatty acids in winter oilseed rape seeds to the greatest extent and included all labelled unsaturated and saturated fatty acids from C12:0 to C24:0, with exceptions. …”
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Enhanced Lung Cancer Prediction via Integrated Multi‐Space Feature Adaptation, Collaborative Alignment and Disentanglement Learning by Abigail Kawama, Ronald Waweru Mwangi, Lawrence Nderu

“…The study utilized four distinct datasets covering a range of imaging modalities and diagnostic labels: the Chest CT‐Scan dataset from Kaggle, the NSCLC‐Radiomics‐Interobserver1 dataset from TCIA, the LungCT‐Diagnosis dataset from TCIA, and the IQ‐OTH/NCCD dataset from Kaggle. …”
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Impact of ELKa, the Electronic Device for Prandial Insulin Dose Calculation, on Metabolic Control in Children and Adolescents with Type 1 Diabetes Mellitus: A Randomized Controlled... by Agnieszka Kowalska, Katarzyna Piechowiak, Anna Ramotowska, Agnieszka Szypowska

“…A randomized, parallel, open-label clinical trial involved 106 patients aged <18 years with T1DM, HbA1C≤10%, undergoing intensive insulin therapy, allocated to the intervention group, who used the ELKa (n=53), or the control group (n=53), who used conventional calculation methods. …”
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Safety and Efficacy of Everolimus Plus Exemestane in Postmenopausal Women with Treatment-refractory Hormone Receptor-positive, Human Epidermal Growth Factor Receptor 2-negative Adv... by Yuan-Ching Chang, Kun-Ming Rau, Dar-Ren Chen, Tsu-Yi Chao, Ming-Feng Hou, Chiun-Sheng Huang*

“…Background: This phase IIIb, open-label study enrolled patients from nine Asian and Middle Eastern countries to evaluate the safety and efficacy of the combination therapy in underrepresented patient populations from the Breast Cancer Trials of Oral Everolimus-2 (BOLERO-2). …”
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Measles neutralising antibody levels in patients receiving intravenous immunoglobulin treatment - a sub-analysis of a randomized, cross-over bioequivalence trial. by Vatsala Rajendram, Martyn Paddick, John More

“…<h4>Methods</h4>GMX07 was an open-label, two-period, crossover bioequivalence study which randomized 33 adult patients with primary immunodeficiency disease in 16 centres across the United States, the United Kingdom and Hungary. …”
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Development and Evaluation of a Novel Radiotracer 125I-rIL-27 to Monitor Allotransplant Rejection by Specifically Targeting IL-27Rα by Shanshan Zhao, Qian Liu, Feng Gao, Guihua Hou

“…Therefore, we developed a novel radiotracer (iodine-125-labeled recombinant IL-27) to evaluate the advantage in the targeting and imaging of allograft rejection. …”
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Efficacy of early enteral feeding with supplemented mother’s milk on postoperative outcomes of cardiac surgical infants: A randomized controlled trial by Anuradha Singal, Manoj Kumar Sahu, Geeta Trilok Kumar, Bani Tamber Aeri, Mala Manral, Anuja Agarwala, Shivam Pandey

“…Materials and Methods: This study was a parallel-group, open-labeled, single-blinded, variable block size RCT conducted at a tertiary care teaching hospital in northern India. …”
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Suitability of jute fiber in the production of eco-friendly building block by Sumaya Sadia Toha, Md. Golam Mostofa, Md. Moinul Islam, Md. Saiful Islam

“…Blocks were produced with three jute fiber ratios (0.125%, 0.25%, and 0.5%), labeled J1, J2, and J3, alongside a control (J0), using two cement-to-sand ratios, 1:6 (Mix- A) and 1:4.5 (Mix-B). …”
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Ultrasound-Guided Thoracic Paravertebral Injection of Platelet-Rich Plasma for the Treatment of Thoracic Herpes Zoster-Related Pain: A Study Protocol by Liu Wang, Xinyu Lei, Zhixuan Lan, Ruilin He, Zongbin Jiang

“…Methods This is a prospective, randomized, controlled, open-label, endpoint-blinded, single-center trial involving 128 participants suffering from zoster-associated pain. …”
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InceptionDTA: Predicting drug-target binding affinity with biological context features and inception networks by Mahmood Kalemati, Mojtaba Zamani Emani, Somayyeh Koohi

“…In addition to using CharVec, which demonstrates greater accuracy in absolute predictions, InceptionDTA also includes a version that employs simple label encoding and excels in ranking and predicting relative binding affinities. …”
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A Real-Time Semantic Segmentation Method of Sheep Carcass Images Based on ICNet by Shida Zhao, Guangzhao Hao, Yichi Zhang, Shucai Wang

“…We first acquire images of the sheep carcass and use augmentation technology to expand the image data, after normalization, using LabelMe to annotate the image and build the sheep carcass image dataset. …”
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Research on Feature Extracted Method for Flutter Test Based on EMD and CNN by Hua Zheng, Zhenglong Wu, Shiqiang Duan, Jiangtao Zhou

“…The measured signals from a wind tunnel test were manually labeled “flutter” and “no-flutter” as the foundational dataset for the deep learning algorithm. …”
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Development of Risk Activity Detection System for Forklifts Based on Inertial Sensors by Luciano Radrigan, Sebastian E. Godoy

“…In this paper, we developed convolutional neural networks (CNN) and long-term memory (LSTM) algorithms to infer a risky maneuver from the inertial sensors data and compared it to the outcome of a video-based model trained on data labeled by a risk-prevention engineer. After field testing with the forklift, the inertial data-based algorithms had an average F1 of 0.93 versus video analysis which had an average F1 of 0.95. …”
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Safety assessment of rosuvastatin-fenofibrate combination in the treatment of hyperlipidemia based on FDA’s adverse event reporting system database by Qun Li, Wenya Shan, Saiwei Wu

“…The proportional report ratio (PRR), reporting odds ratio (ROR), and Bayesian Confidence Propagation Neural Network (BCPNN) analysis were used to extract data from FAERS for suspected signals referring to the combination of rosuvastatin and fenofibrate.ResultsA total of 68 safety signals were detected from the top 250 AEs in 3,587 reports, of which 28 signals were not included in the drug labels. All the detected AEs were associated with 12 System Organ Classes (SOC), such as gastrointestinal, musculoskeletal and connective tissue, general diseases, investigations and nervous system. …”
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Deep learning-based object detection algorithms in medical imaging: Systematic review by Carina Albuquerque, Roberto Henriques, Mauro Castelli

“…The analysis underscores the presence of varied datasets, often with significant discrepancies in size, with a notable percentage being labeled as private or internal, and with prospective studies in this field remaining scarce. …”
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Galectin-1-Dependent Mitochondria Apoptosis Plays an Essential Role in the Potential Protein Targets of DBDCT-Induced Hepatotoxicity as Revealed by Quantitative Proteomic Analyses by Jiayu Song, Yuan Ren, Lihua Liu, Yixin Wang, Chuandao Shi, Xiaoqing Ji, Yunlan Li, Qingshan Li

“…In this study, proteomic analysis revealed that 146 proteins (98 upregulated and 48 downregulated) were differentially identified by label-free LC-MS/MS after DBDCT treatment. Meanwhile, network analysis of these differential proteins suggested that protein Galectin-1 (Gal-1) could regulate the apoptosis process (15 related proteins), which played an essential role in the potential targets of DBDCT-induced hepatotoxicity. …”
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Citrullinated Autoantigen–Specific T and B Lymphocytes in Rheumatoid Arthritis: Focus on Follicular T Helper Cells and Expansion by Coculture by Tim Ammon, Julia Zeiträg, Vanessa Mayr, Manuela Benedicic, Hans‐Peter Holthoff, Martin Ungerer

“…In addition, an innovative assay using dual labeling with CCP–biotin probes allowed for reproducible identification of primary CAS B cells after enrichment with advantages over existing detection methods. …”
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