AI enabled, mobile soil pH classification with colorimetric paper sensors for sustainable agriculture. by Ademir Ferreira da Silva, Ricardo Luis Ohta, Jaione Tirapu Azpiroz, Matheus Esteves Ferreira, Daniel Vitor Marçal, André Botelho, Tulio Coppola, Allysson Flavio Melo de Oliveira, Murilo Bettarello, Lauren Schneider, Rodrigo Vilaça, Noorunisha Abdool, Vanderlei Junior, Wellington Furlaneti, Pedro Augusto Malanga, Mathias Steiner

“…Such a classification method could provide a basis for soil management decisions where high-resolution lab analysis is not required or available. …”
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Development and Evaluation of a Promising Biomarker for Diagnosis of Latent and Active Tuberculosis Infection by Cong Peng, Fan Jiang, Yinping Liu, Yong Xue, Peng Cheng, Jie Wang, Liang Wang, Wenping Gong, Haijuan Wang

“…Immune responses induced by MEBDM were detected using enzyme-linked immunosorbent spot and cytometric bead assays. …”
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Hydra Radio Access Network (H-RAN): Multi-Functional Communications and Sensing Networks, Initial Access Implementation, and Task-2 Approach by Rafid I. Abd, Daniel J. Findley, Kwang Soon Kim

“…This means that networks can automatically detect issues, assess their impact, implement corrective measures, and modify operating parameters in response to variations in user behavior or environmental factors. …”
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Measuring IgA Anti-β2-Glycoprotein I and IgG/IgA Anti-Domain I Antibodies Adds Value to Current Serological Assays for the Antiphospholipid Syndrome. by Charis Pericleous, Isabel Ferreira, Orietta Borghi, Francesca Pregnolato, Thomas McDonnell, Acely Garza-Garcia, Paul Driscoll, Silvia Pierangeli, David Isenberg, Yiannis Ioannou, Ian Giles, Pier Luigi Meroni, Anisur Rahman

“…<h4>Introduction</h4>Currently available clinical assays to detect antiphospholipid antibodies (aPL) test for IgG and IgM antibodies to cardiolipin (aCL) and β2-glycoprotein I (aβ2GPI). …”
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Development of a machine learning model to identify the predictors of the neonatal intensive care unit admission by Narges Malakooti, Vahid Mehrnoush, Fatemeh Abdi, Mohammad Sadegh Vahidi Farashah, Fatemeh Darsareh

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Optimizing the early diagnosis of neurological disorders through the application of machine learning for predictive analytics in medical imaging by Vijaya Bhaskar Sadu, Sathvik Bagam, Mohd Naved, Siva Krishna Reddy Andluru, Kamalakar Ramineni, Meshal Ghalib Alharbi, Sudhakar Sengan, Rahmaan Khadhar Moideen

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Identification and outcomes of acute kidney disease in patients presenting in Bolivia, Brazil, South Africa, and Nepal. by Rhys D R Evans, Sanjib K Sharma, Rolando Claure-Del Granado, Brett Cullis, Emmanuel A Burdmann, Fos Franca, Junio Aguiar, Martyn Fredlund, Kelly Hendricks, Maria F Iturricha-Caceres, Mamit Rai, Bhupendra Shah, Shyam Kafle, David C Harris, Mike V Rocco

“…The area under the receiver operating characteristic curve was 0.73 for the risk score to detect AKD. …”
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Identification and grading method of HCAs in gas pipelines based on multisource data fusion by Haoran TANG, Junnan XIONG, Zhiwei YONG, Wenjie CHEN, Aoru LIU, Qisheng WANG, Huiwen XIAO, Rongkang WANG

“…Objective Constrained by operator proficiency and subjectivity, the traditional method for identifying high-consequence areas (HCAs) in gas pipelines exhibits shortcomings such as low efficiency and nonnegligible human errors. …”
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Infective endocarditis of partial atrioventricular septal defect: A case report by Stefanović Maja, Srdanović Ilija, Milovančev Aleksandra, Šušak Stamenko, Tadić Snežana, Ilić Aleksandra

“…Partial atrioventricular septal defect (AVSD) is a form of congenital heart disease (CHD) rarely detected in adults. Infective endocarditis represents a severe complication that carries a substantial risk. …”
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Comparative Study between Full-Endoscopic Transforaminal Approach Lumbar Interbody Fusion (TF-LIF) Using PETLIF System and Minimally Invasive TLIF for Degenerative Lumbar Spine Dis... by Katsuhisa Yamada, Ken Nagahama, Hisataka Suzuki, Yuichiro Abe, Shigeto Hiratsuka, Yohei Sodeyama, Daisuke Ukeba, Hiroyuki Tachi, Tsutomu Endo, Takashi Ohnishi, Yuichi Hasegawa, Hideki Sudo, Takahiko Hyakumachi, Norimasa Iwasaki

“…However, exiting nerve root injury was a PETLIF-specific complication, and proper preventive management, including techniques to enlarge the Kambin's triangle, is required.…”
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Lipidomic analyses reveal the dysregulation of oxidized fatty acids (OxFAs) and acyl-carnitines (CARs) in major depressive disorder: a case-control study by Lei He, Na Duan, Chong Wang, Ru Shan, Jing Li, Lin Wang, Qiuli Liu, Junwei Tao, Li Liu, Xiaoliang Ma, Bing Cao

“…The objective of our study was to detect alterations in lipids of individuals with MDD, with the ultimate aim of developing potential biomarkers that may contribute to the diagnosis and treatment of MDD. …”
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Up-to-Date Imaging for Parathyroid Tumor Localization in MEN1 Patients with Primary Hyperparathyroidism: When and Which Ones (A Narrative Pictorial Review) by Valentina Berti, Francesco Mungai, Paolo Lucibello, Maria Luisa Brandi, Carlo Biagini, Alessio Imperiale

“…US is non-invasive, readily available, and provides high spatial resolution. However, it is operator-dependent and may have limitations in certain cases, such as intrathyroidal locations, the presence of bulky goiters, thyroid nodules, and previous thyroidectomy. …”
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MicroRNA-668 alleviates renal fibrosis through PPARα/PGC-1α pathway by Xinran Wang, Zhoupeng Gu, Yan Huang, Jingyan Wang, Shiqi Tang, Xinyu Yang, Jianwen Wang

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The effect of hypocapnia on systemic perfusion in patients with single ventricle after surgery by A. В. Naumov, G. G. Khubulava, Yu. S. Аleksandrovich, S. P. Marchenko, К. V. Pshenisnov, N. G. Pilyugov

“…Subjects and methods. 125 newborns with congenital heart defects operated from 2014 to 2018 were examined retrospectively.  …”
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Identification and immunoassay of biomarkers associated with T cell exhaustion in systemic lupus erythematosus by Yiqing Zheng, Hejun Li, Yanqing Wang, Lixin Huang, Ling Chen, Shunping Lin, Shuhuan Lin

“…These biomarkers could be detected in the blood for early diagnosis of the disease or to monitor the efficacy of the disease treatment, thus providing a new target for the management of SLE.…”
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Studio sui NEETs. Credenze, paure e percezioni delle giovani generazioni stigmatizzate by Marco Schiavetta

“…The constant critical reflection, conducted throughout the process of my research, has led to detect and define 3 core categories that are fundamental to the definition of a substantive theory. …”
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The Modeling of the Probable Behaviour of Insider Cyber Fraudsters in Banks by Hanna Yarovenko, Aleksandra Kuzior, Alona Raputa

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Particle correlated characteristics of coal rock crushed by disc cutters by XU Peng, LIU Chunsheng, CHENG Shuo, DANG Zhenqian

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Predictive machine learning algorithm for COPD exacerbations using a digital inhaler with integrated sensors by Michael Reich, Njira Lugogo, Laurie D Snyder, Megan L Neely, Guilherme Safioti, Randall Brown, Michael DePietro, Roy Pleasants, Thomas Li, Lena Granovsky

“…Purpose By using data obtained with digital inhalers, machine learning models have the potential to detect early signs of deterioration and predict impending exacerbations of chronic obstructive pulmonary disease (COPD) for individual patients. …”
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A Resource-Efficient 3D U-Net for Hippocampus Segmentation Using CLAHE and SCE-3DWT Techniques by Faizaan Fazal Khan, Jun-Hyung Kim, Chun-Su Park, Ji-In Kim, Goo-Rak Kwon

“…Hippocampus segmentation on MRI (magnetic resonance imaging) plays a vital role in detecting, diagnosing, tracking, and monitoring neurodegenerative diseases, particularly Alzheimer&#x2019;s disease. …”
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