Fungi Infection in Surgical Department. Systemic and Local Antifungal Therapy by L. A. Blatun, G. E. Skladan, R. P. Terekhova, S. A. Prudnikova, M. G. Krutikov, O. I. Andreytseva, M. N. Yan, A. A. Nikitin, A. A. Ushakov, N. G. Askerov, V. A. Mitish, Yu. S. Paskhalova, P. A. Munios Sepeda, S. D. Magomedova, S. L. Sokov

“…To determine the frequency of detection of pathogenic fungi in a variety of surgical departments, to track the effectiveness of the developed algorithm of systemic and local antifungal therapy. …”
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Frequent sgRNA-barcode recombination in single-cell perturbation assays. by Shiqi Xie, Anne Cooley, Daniel Armendariz, Pei Zhou, Gary C Hon

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Exploring the Key Features of Repeating Fast Radio Bursts with Machine Learning by Wan-Peng Sun, Ji-Guo Zhang, Yichao Li, Wan-Ting Hou, Fu-Wen Zhang, Jing-Fei Zhang, Xin Zhang

“…In this work, we propose a repeater identification method based on the t-distributed Stochastic Neighbor Embedding algorithm and apply the classification to the first Canadian Hydrogen Intensity Mapping Experiment Fast Radio Burst (CHIME/FRB) catalog. …”
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Radiomics in the differential diagnosis of glioblastoma under the primary neurooncoimaging conditions by Nikita E. Maslov, Daria A. Valenkova, Alexander M. Sinitсa, Gennadiy E. Trufanov, Vladimir M. Moiseenko, Alexander Yu. Efimtsev, Vera V. Chernobrivtseva

“…According to the 2021 WHO Classification of Tumors of the Central Nervous System (CNS) and the 2023 Clinical Practice Guidelines on the Drug Management of Primary CNS Cancers, the first step of molecular genetic testing to identify the morphological type and malignancy of adult-type diffuse gliomas is the detection of isocitrate dehydrogenase (IDH) mutation status. …”
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Potential applications of a low-cost gas sensor to monitor enteric methane emission from ruminant animals by Mulisa F. Dida, Milad Bagheri Shirvan, Toshikazu Kawaguchi, Sergio C. Garcia, Luciano A. Gonzalez

“…The peak detection algorithm indicated that the GF detected more peaks and processed data four times faster than the MQ-4 gas sensor. …”
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A novel data-driven based high-precision building roof contour full-automatic extraction and structured 3D reconstruction method combining stereo images and LiDAR points by Xiongwu Xiao, Kai Wang, Zhichao Zhong, Wenhu Qu, Weiwei Wu, Zhigao Cui, Yanzhao Su, Aihua Li, Jianya Gong, Deren Li

“…Therefore, this paper proposes a novel data-driven algorithm for roof-contour-extraction and structured-3D-reconstruction by fusing stereo-images and LiDAR-point-clouds. …”
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The Mobile Complex of Chemical Control as the Basis of Technical Equipment of the Mobile Diagnostic Group of the 33 Central Scientific Research Test Institute of the Ministry of De... by V. A. Inozemtsev, A. K. Zhokhov, A. Yu. Boyko, A. S. Samorodov, A. V. Zhidyaev, A. A. Braginets

“…The technical characteristics of the MCCC are as follows: crew – 8 people; preparation time – no more than 60 minutes; time for the preliminary identification of substances detected by the mobile group (from the moment of arrival) – no more than 60 minutes; the lower limit of detection of toxic chemicals in environmental objects – at the maximum concentration limit; time of confirming identification of detected toxic chemicals (from the moment of delivery of samples) – no more than 180 minutes; cruising range – up to 700 km. …”
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Simplification of the diagnostic approach and treatment of Hepatitis C Virus. by Clara C. Sanchez-Rodriguez, Ana M. Mendoza-Martínez, Héctor R. Sánchez-Nuncio, Jorge H. Luna-Domínguez

“…Fibrosis was calculated using the APRI algorithm, finding 53/130 with >1.5 and 60/130 with >3.25, which predicted F3-4. …”
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Crack-Based Estimation of Seismic Damage Level in Confined Masonry Walls in the Lima Metropolitan Area Using Deep Learning Techniques by Miguel Diaz, Luis Lopez, Michel Amancio, Italo Inocente, Jhianpiere Salinas, Sergio Isuhuaylas, Erika Flores, Edisson Moscoso

“…A high-accuracy crack measurement technique was developed, combining a convolutional neural network to generate a binary crack mask and a binary search algorithm to extract polylines and convert them into length measurements, achieving a detection accuracy of 78%. …”
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Aplicación de técnicas SIG, Sensoramiento Remoto y Análisis Multicriterio para la Detección de Impactos Antropogénicos en la Cobertura de Suelos y su Proyección para el 2010. Caso... by Paola Almeida, M. Duriavich, R. Napolitano, E. Feoli

“…Abstract This article emphasizes the advantages of Geographical Information Systems (GIS) and remote sensing aseffective tools for detection of environmental alterations and future scenarios. …”
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ADeepWeeD: An adaptive deep learning framework for weed species classification by Md Geaur Rahman, Md Anisur Rahman, Mohammad Zavid Parvez, Md Anwarul Kaium Patwary, Tofael Ahamed, David A. Fleming-Muñoz, Saad Aloteibi, Mohammad Ali Moni, PhD

“…Deep Learning (DL) methodologies have been recently implemented to revolutionise agricultural practices, particularly in weed detection and classification. Existing DL-based weed classification techniques, including VGG16 and ResNet50, initially construct a model by implementing the algorithm on a training dataset comprising weed species, subsequently employing the model to identify weed species acquired during training. …”
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Aplicación de técnicas SIG, Sensoramiento Remoto y Análisis Multicriterio para la Detección de Impactos Antropogénicos en la Cobertura de Suelos y su Proyección para el 2010. Caso... by Paola Almeida, M. Duriavich, R. Napolitano, E. Feoli

“…Abstract This article emphasizes the advantages of Geographical Information Systems (GIS) and remote sensing aseffective tools for detection of environmental alterations and future scenarios. …”
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Sleep Disturbances and Obstructive Sleep Apnea in Children and Adolescents with Cerebral Palsy: An Observational Study by Isabella Meneses da Silva, Maria Clara Helena do Couto, Sanseray da Silveira Cruz-Machado, Leticia Monteiro de Andrade, Ana Elisa Zuliani Stroppa Marques, Celia Maria Giacheti, Cristiane Rodrigues Pedroni, Luciana Pinato

“…Sleep disturbances were assessed using the Sleep Disturbance Scale for Children (SDSC) and a high-resolution oximeter plus actigraphy combined with a cloud-based algorithm for the detection of obstructive sleep apnea (Biologix^® system), which provided data on oxygen saturation, snoring, movement during sleep, and total sleep time. …”
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Pulsed inhibition of corticospinal excitability by the thalamocortical sleep spindle by Umair Hassan, Prince Okyere, Milad Amini Masouleh, Christoph Zrenner, Ulf Ziemann, Til Ole Bergmann

“…Utilizing a recently developed real-time spindle detection algorithm, we applied spindle phase-triggered transcranial magnetic stimulation (TMS) to the primary motor cortex (M1) hand area to characterize the corticospinal excitability profile of spindles via motor evoked potentials (MEP). …”
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Tracking Lava Flow Cooling from Space: Implications for Erupted Volume Estimation and Cooling Mechanisms by Simone Aveni, Gaetana Ganci, Andrew J. L. Harris, Diego Coppola

“…We identify thermally anomalous pixels in VIIRS I5 scenes (11.45 µm, 375 m resolution) using the TIRVolcH algorithm, this allowing the detection of subtle thermal anomalies throughout the cooling phase, and retrieve lava flow area by fitting theoretical cooling curves to observed VRP_TIR time series. …”
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In vitro machine learning-based CAR T immunological synapse quality measurements correlate with patient clinical outcomes. by Alireza Naghizadeh, Wei-Chung Tsao, Jong Hyun Cho, Hongye Xu, Mohab Mohamed, Dali Li, Wei Xiong, Dimitri Metaxas, Carlos A Ramos, Dongfang Liu

“…The ML-based automated algorithm quantified CAR-T IS data correlates with the clinical responder and non-responder treated with Kappa-CAR-T cells directly from patients. …”
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Large-Scale Monitoring of Potatoes Late Blight Using Multi-Source Time-Series Data and Google Earth Engine by Zelong Chi, Hong Chen, Sheng Chang, Zhao-Liang Li, Lingling Ma, Tongle Hu, Kaipeng Xu, Zhenjie Zhao

“…The method combines unsupervised and supervised machine learning algorithms. To improve the monitoring accuracy of the PLB regression model, the study used the K-Means algorithm in conjunction with morphological operations to identify potato growth areas. …”
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Diagnosis of gastrointestinal fistulas in pancreatic necrosis by X-ray and computed tomography by T. G. Barmina, L. T. Khamidova, O. A. Zabavskaya, I. E. Selina, P. A. Yartsev, F. A.-K. Sharifullin, I. E. Popova, E. A. Eletskaia, А. M. Kuzmin

“…X-ray monitoring using CT and X-ray fistulography is an integral component of the therapeutic and diagnostic algorithm in patients with gastrointestinal fistulas in pancreatic necrosis.…”
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Digital innovation in healthcare: quantifying the impact of digital sepsis screening tools on patient outcomes—a multi-site natural experiment by Sarah Tonkin-Crine, Graham Cooke, Anthony C Gordon, Anthony Gordon, Shashank Patil, Runa Lazzarino, Andrew Brent, Kate Honeyford, Céire E Costelloe, Anne Kinderlerer, John Welch, Peter Ghazal, Claire Burnett, Alf Timney, Andrew Jonathan Brent, Cerie Costelloe, Pippa Goodman Ben Glampson

“…We evaluated the impact of sepsis screening tools on in-patient 30-day mortality across four multi-hospital NHS Trusts, each using a different algorithm for early detection of sepsis.Methods Using quasi-experimental methods, we investigated the impact of the screening tools. …”
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Aplicación de técnicas SIG, Sensoramiento Remoto y Análisis Multicriterio para la Detección de Impactos Antropogénicos en la Cobertura de Suelos y su Proyección para el 2010. Caso... by Paola Almeida, M. Duriavich, R. Napolitano, E. Feoli

“…Abstract This article emphasizes the advantages of Geographical Information Systems (GIS) and remote sensing aseffective tools for detection of environmental alterations and future scenarios. …”
Get full text