Direct Discrimination and Growth Estimation of Foodborne Bacteria in Raw Meat Using Electronic Nose by Wellington Belarmino Gonçalves, Wanderson Sirley Reis Teixeira, Aryele Nunes da Cruz Encide Sampaio, Otávio Augusto Martins, Evelyn Perez Cervantes, Mateus de Souza Ribeiro Mioni, Jonas Gruber, Juliano Gonçalves Pereira

“…Although food bacteria detection is based on microbiological methods, these assays are usually laborious and time-consuming. …”
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Results of complex treatment of patients with locally advanced squamous cell carcinoma of the paranasal sinuses and nasal cavity using induction chemotherapy by T.   I. Dеshkina, L.  V. Bolotina, A.  R. Gevorkov, A.  V. Boyko, A.  L. Kornietskaya, A. P. Polyakov, P.   V. Golubev, R.  S. Sydykova, A. A. Fedenko

“…About 600 new cases of malignant neoplasms of the paranasal sinuses and nasal cavity are detected annually in Russia. To date, there are no randomized trials to determine the optimal treatment algorithm for this group of patients. …”
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In situ, modeled, and earth observation monitoring of surface water availability in West African rangelands by Kimberly Slinski, Kimberly Slinski, Gabriel B. Senay, Alkhalil Adoum, Shraddhanand Shukla, Amy McNally, James Rowland, Erwann Fillol, Soni Yatheendradas, Soni Yatheendradas, Chris Funk, Andrew Hoell, Michael Jasinski

“…This study compares water availability estimates derived from Landsat and Sentinel 1 satellite imagery to in situ observations and model simulations of water availability in 22 ephemeral ponds located in the Ferlo region of Senegal.Results and discussionThe Active-Passive Water Classification (APWC) algorithm detected surface water at each location. …”
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High accuracy inverse design of reconfigurable metasurfaces with transmission-reflection-integrated achromatic functionalities by Jiang Xiao-Qiang, Fan Wen-Hui, Chen Xu, Zhao Lv-Rong, Qin Chong, Yan Hui, Wu Qi, Ju Pei

“…Artificial intelligence algorithms based on deep neural network (DNN) have become an effective tool for conceiving metasurfaces recently. …”
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Novel Gene Polymorphisms for Stable Warfarin Dose in a Korean Population: Genome-Wide Association Study by Jung Sun Kim, Sak Lee, Jeong Yee, Kyemyung Park, Eun Jeong Jang, Byung Chul Chang, Hye Sun Gwak

“…The algorithm was constructed by using multivariable analysis that includes genetic and non-genetic factors, and it could explain 58.5% of the variations in stable warfarin doses. …”
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Meso-scale network analysis of resting state-fMRI brain network connectivity performs poorly as a prognostic tool in critically ill traumatic brain injury patients by Jonathan Tjerkaski, William H. Thompson, Bo-Michael Bellander, Eric P. Thelin, Peter Fransson

“…To further substantiate these results, we used the Louvain algorithm to detect the community structure of each TBI patient, to assess whether it differs from that of healthy individuals.We performed fMRI on 44 TBI patients who were admitted to the neurocritical care unit. …”
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Application of a modified set of GoogLeNet and ResNet-18 convolutional neural networks towards the identification of environmentally derived-MPLs in the Yadkin-pee dee river basin by Wesley Allen Williams, Anirudh Arunprasad, Shyam Aravamudhan

“…Results indicate the models detect MPLs with similar frequency elucidating comparable strength of the CNN as well as a focus on particle type distribution rather than individual identification. …”
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Effect of multimodal home-based prehabilitation on objectively measured physical activity in patients undergoing elective cardiac or non-cardiac major surgery: secondary outcomes f... by Thomas Vetsch, Simone Wen-Shi Dueblin, Prisca Eser, Christian M. Beilstein, Patrick Y. Wuethrich, Matthias Wilhelm, Dominque Engel

“…Primary outcome Steps per day are assessed by an open-source algorithm from wrist-worn accelerometer data. Secondary outcome Raw acceleration as overall Euclidean Norm Minus One (ENMO) is expressed in milligravitational units (mg). …”
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Analysis and Tracking of Intra-Needle Ultrasound Pleural Signals for Improved Anesthetic Procedures in the Thoracic Region by Fu-Wei Su, Chia-Wei Yang, Ching-Fang Yang, Yi-En Tsai, Wei-Nung Teng, Huihua Kenny Chiang

“…Needle-sized ultrasound transducers, known as intra-needle ultrasound (INUS) transducers, have been developed to detect the pleura and fascia using a one-dimensional radio frequency mode ultrasound signal. …”
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Case-control study combined with machine learning techniques to identify key genetic variations in GSK3B that affect susceptibility to diabetic kidney diseases by Jinfang Song, Yi Xu, Liu Xu, Tingting Yang, Ya Chen, Changjiang Ying, Qian Lu, Tao Wang, Xiaoxing Yin

“…Urinary exosomes from DKD patients were extracted, protein expression levels of GSK3β were detected by ELISA kits, and kinase activity of GSK3β was quantified by kinase activity spectrometry to evaluate the correlation between the gene polymorphisms of GSK3B and the expression levels and activities of GSK3β. …”
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Mitigating malicious denial of wallet attack using attribute reduction with deep learning approach for serverless computing on next generation applications by Amal K. Alkhalifa, Mohammed Aljebreen, Rakan Alanazi, Nazir Ahmad, Sultan Alahmari, Othman Alrusaini, Ali Alqazzaz, Hassan Alkhiri

“…Finally, the hyperparameter tuning is accomplished by implementing the secretary bird optimizer algorithm (SBOA) method to enhance the classification outcomes of the BMNet model. …”
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Endovascular catheter technologies in the diagnosis and treatment of ulcerative gastroduodenal bleeding by Yu.V. Avdosiev, P.V. Ivanchov, S.S. Loboda

“…Acute ulcer-related upper gastrointestinal bleeding poses an immediate life-threatening risk to patients and necessitates the use of an appropriate diagnostic and therapeutic algorithm. One of its components, particularly when endoscopic hemostasis and conservative therapy are ineffective, is the angiographic examination of the stomach and duodenal vessels to identify the source of bleeding and to perform endovascular hemostasis. …”
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The etiological profile and alterations in cerebrospinal fluid characteristics in patients with bacterial meningitis by O. O. Chernysheva, M. S. Potemkina, M. M. Gadzhikulieva, I. V. Davydova, T. Yu. Smirnova, I. Ch. Partilkhaeva, S. A. Shutko

“…The data were analyzed using the k-means clustering algorithm implemented in the Loginom analytics software to create a scenario, as well as OLAP cubes. …”
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X-RAY MORPHOLOGICAL SEMIOTICS OF NON-TUBERCULOUS MYCOBACTERIAL PULMONARY DISEASE by R. B. Amansakhedov, L. N. Lepekha, L. I. Dmitrieva, I. Yu. Andrievskaya, A. T. Sigaev, N. N. Makar’yants, V. V. Romanov, A. E. Ergeshov

“…In 92.7% of cases, the detected foci were predominantly centrilobular with endobronchial localization. …”
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Spatio-Temporal Generalization of VIS-NIR-SWIR Spectral Models for Nitrogen Prediction in Sugarcane Leaves by Carlos Augusto Alves Cardoso Silva, Rodnei Rizzo, Marcelo Andrade da Silva, Matheus Luís Caron, Peterson Ricardo Fiorio

“…From the hyperspectral data, clustering analysis was performed to identify the patterns between the spectral bands for each region where the spectral readings were made, using the Partitioning Around Medoids (PAM) algorithm. Then, the LNC values were used to generate spectral models using Partial Least Squares Regression (PLSR). …”
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Deeper insight into speech characteristics of patients at ultra-high risk using classification and explainability models by Deok-Hee Kim-Dufor, Michel Walter, Marie-Odile Krebs, Yannis Haralambous, Philippe Lenca, Christophe Lemey, Christophe Lemey

“…A gradient-boosted decision tree algorithm was tested to evaluate its potential to correctly classify three categories of patients and find relevant linguistic markers at the level of lexical richness, semantic coherence, speech disfluency, and syntactic complexity. …”
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Construction and validation of HBV-ACLF bacterial infection diagnosis model based on machine learning by Neng Wang, Shuai Tao, Liang Chen

“…Abstract Objective To develop and validate a novel diagnostic model for detecting bacterial infections in patients with hepatitis B virus-related acute-on-chronic liver failure (HBV-ACLF) using advanced machine learning algorithms. …”
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Early prediction of bone destruction in rheumatoid arthritis through machine learning analysis of plasma metabolites by Zihan Wang, Tianyi Lan, Yi Jiao, Xing Wang, Hongwei Yu, Qishun Geng, Jiahe Xu, Cheng Xiao, Qingwen Tao, Yuan Xu

“…The longitudinal association between metabolites and radiographic progression was analyzed using several machine learning algorithms, and the significance of core metabolites was calculated. …”
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CO21 | Viscoelastic testing in inherited bleeding disorders: a cross-sectional comparison between viscoelastic coagulation monitoring (VCM) and rotational thromboelastometry (ROTE...

“…For individual RBD, both VCM and ROTEM detect global hypocoagulability, but ROTEM’s multiparametric channels allow more detailed characterization of the underlying defect, as shown in Figure 1. …”
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Personalized Intervention Strategy Based on a Risk Score Generated From Subcutaneous Insertable Cardiac Monitor: Results From Phase 1 of ALLEVIATE‐HF by Rami Kahwash, Michael R. Zile, Prasad Chalasani, Barry Bertolet, Laura Gravelin, Muhammad Shahzeb Khan, Jennifer Wehking, Brian Van Dorn, Shantanu Sarkar, Verla Laager, Bart Gerritse, Aimee Laechelt, Javed Butler

“…Methods and Results ALLEVIATE‐HF (Algorithm Using LINQ Sensors for Evaluation and Treatment of Heart Failure) Phase 1 was a randomized interventional study enrolling patients with New York Heart Association class II/III and a recent HF event. …”
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