A combination of urinary biomarker panel and PancRISK score for earlier detection of pancreatic cancer: A case-control study. by Silvana Debernardi, Harrison O'Brien, Asma S Algahmdi, Nuria Malats, Grant D Stewart, Marija Plješa-Ercegovac, Eithne Costello, William Greenhalf, Amina Saad, Rhiannon Roberts, Alexander Ney, Stephen P Pereira, Hemant M Kocher, Stephen Duffy, Oleg Blyuss, Tatjana Crnogorac-Jurcevic

“…Here, we aimed to establish the accuracy of an improved panel, including REG1B instead of REG1A, and an algorithm for data interpretation, the PancRISK score, in additional retrospectively collected urine specimens. …”
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The Use of Neural Networks in Distance Education Technologies for the Identification of Students by O. A. Kozlova, A. A. Protasova

“…The identification procedure must be repeated several times during a session to ensure that the identity of the authorized user is verified.Conclusion. Realizing the set goal to study the problematics of learning technologies of modern artificial neural networks for carrying out the procedure of unambiguous authentication of students according to a pre-formed reference base of digital biometric characteristics of authorized users in the field of distance learning technologies, and relying on the results obtained in the course of generalization and analysis of existing experience and our own studies, the authors identified two independent stages in the algorithm for the implementation of the task of identifying the student’s personality: the formation of a reference base of digital biometric characteristics of authorized users and user authentication according to the previously formed reference base, and also revealed that when training a neural network, it is necessary to take into account a sufficiently large number of different attributes affecting it. …”
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"Non-destructive and rapid determination of bound styrene content of styrene-butadiene rubber latex using near-infrared spectroscopy" by LI Yan, ZHONG Ming-li, ZHU Shi-yong, CUI Jia-min, ZHANG Jian-ping, CHEN Shi-long

“…A non-destructive and rapid determination of bound styrene content in styrene-butadiene rubber latex was studied using near-infrared spectroscopy diffuse transmission method combined with chemometrics, bound styrene content in styrene-butadiene rubber latex was determined by refractive index method, near-infrared spectral data of styrene-butadiene rubber latex were collected using Fourier transform near-infrared spectrometer, Kennard-Stone algorithm was used to divide the calibration set and validation set, partial least squares regression quantitative analysis model was established by combining the spectral preprocessing methods, such as multiple scattering correction method, second-order derivatives and Norris smoothing, etc, and the influence of screening spectral feature variables by interval partial least squares algorithm on the quantitative ana-lysis model was finally investigated. …”
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A large-scale prospective nested case-control study: developing a comprehensive risk prediction model for early detection of pancreatic cancer in the community-based ESPRIT-AI coho... by Chaoliang Zhong, Penghao Li, Jia Zhao, Xue Han, Beilei Wang, Gang Jin

“…Findings: The cohort was divided into training (n=39,929, including 45 cases and 900 nested controls) and test (n=11,561, including 15 cases and 11,546 controls) sets. …”
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Effectiveness of biomarker-guided duration of antibiotic treatment in children hospitalised with confirmed or suspected bacterial infection: the BATCH RCT by Cherry-Ann Waldron, Philip Pallmann, Simon Schoenbuchner, Debbie Harris, Lucy Brookes-Howell, Céu Mateus, Jolanta Bernatoniene, Katrina Cathie, Saul N Faust, Josie Henley, Lucy Hinds, Kerry Hood, Chao Huang, Sarah Jones, Sarah Kotecha, Sarah Milosevic, Helen Nabwera, Sanjay Patel, Stéphane Paulus, Colin VE Powell, Jenny Preston, Huasheng Xiang, Emma Thomas-Jones, Enitan D Carrol

“…Setting Paediatric wards or paediatric intensive care units within children’s hospitals (n = 6) and district general hospitals (n = 9) in the United Kingdom. …”
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Integration of bulk RNA-seq and scRNA-seq reveals transcriptomic signatures associated with deep vein thrombosis by Bao-ze Pan, Ming-jun Jiang, Li-ming Deng, Jie Chen, Xian-peng Dai, Zi-xuan Wu, Zhi-he Deng, Dong-yang Luo, Yang-yi-jing Wang, Dan Ning, Guo-zuo Xiong, Guo-shan Bi

“…Based on the same methodology as the internal test set, 12 DVT patients and six control groups were collected to construct an external test set and validated using machine learning (ML) algorithms and immunofluorescence (IF). …”
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Research on dust identification and concentration detection method based on machine vision by Luyang TU, Qinghua CHEN, Yingsong CHENG, Bingyou JIANG

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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning by Fan Jiang, Peng Peng, Zhenting Xu, Yu Xu, Ding Yang, Shouquan Chai, Shuai Yuan, Limin Hua, Dawei Wang, Xuanye Wen

“…Second, principal component analysis was used to reduce the dimensionality of the 92 sets of collected data to six principal components, thus eliminating the correlation between the indicators. …”
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Factors Identification and Prediction for Mind Wandering Driving Using Machine Learning by Ciyun Lin, Hongli Zhang, Bowen Gong, Dayong Wu

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Real-Time Series Arc Fault Detection and Appliances Classification in AC Networks Based on Competing Convolutional Kernels by Francesco Ferracuti, Riccardo Felicetti, Luca Cavanini, Patrick Schweitzer, Andrea Monteriu

“…The proposed method is validated using a public database, where data from 13 different types of loads is collected according to the IEC 62606 standard. To reduce inference time and optimize the algorithm for embedded control units, a feature reduction strategy is employed. …”
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CNN-Based Automatic Detection of Beachlines Using UAVs for Enhanced Waste Management in Tailings Storage Facilities by Sergii Anufriiev, Paweł Stefaniak, Wioletta Koperska, Maria Stachowiak, Artur Skoczylas, Paweł Stefanek

“…In this article, we propose a method for automatic detection of the water-beach line based on photographs from an unmanned aerial vehicle (UAV). An algorithm based on MobileNet v2 convolutional neural network architecture was developed for the classification of images collected by the UAV. …”
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Application of deep learning convolutional neural networks to identify gastric squamous cell carcinoma in mice by Yuke Ren, Yuke Ren, Shuangxing Li, Di Zhang, Yongtian Zhao, Yanwei Yang, Guitao Huo, Xiaobing Zhou, Xingchao Geng, Zhi Lin, Zhe Qu

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Accuracy of a 2-minute eye-tracking assessment to differentiate young children with and without autism by Kristelle Hudry, Lacey Chetcuti, Diana Weiting Tan, Alena Clark, Alexandra Aulich, Catherine A. Bent, Cherie C. Green, Jodie Smith, Kathryn Fordyce, Masaru Ninomiya, Atsushi Saito, Shuji Hakoshima, Andrew J. O. Whitehouse

“…Limitations Our groups differed on socio-demographic characteristics and overall tracking (included within the Classification Algorithm). We used the ‘Scene 10A’ stimulus set as provided, without update/modification. …”
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Machine Learning Forecasting of Commercial Buildings’ Energy Consumption Using Euclidian Distance Matrices by Connor Scott, Alhussein Albarbar

“…Governments worldwide have set ambitious targets for decarbonising energy grids, driving the need for increased renewable energy generation and improved energy efficiency. …”
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Automation of air disinfection and lighting in agricultural buildings by L. Yu. Yuferev, I. M. Dovlatov, E. S. Rudzik

“…As a basis for the disinfection system, a two-component ARUF device was used, which includes two decontaminating components: an ultraviolet lamp and an aerosol dispenser. Each of the algorithms (lighting and disinfection) consists of 3 parts: data collection and analysis, control, data output to the display. …”
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Application of the U-Net Deep Learning Model for Segmenting Single-Photon Emission Computed Tomography Myocardial Perfusion Images by Ahmad Alenezi, Ali Mayya, Mahdi Alajmi, Wegdan Almutairi, Dana Alaradah, Hamad Alhamad

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Altered diversity and composition of gut microbiota in Korean children with food allergy by Minyoung Jung, Ji Young Lee, Sukyung Kim, Jeongmin Song, Sehun Jang, Sanghee Shin, Min Hee Lee, Mi Jin Kim, Jiwon Kim, Han Byul Lee, Yeonghee Kim, Kangmo Ahn, Minji Kim, Jihyun Kim

“…Functional profiles were predicted using Phylogenetic Investigation of Communities by Reconstruction of Unobserved States (PICRUSt) and the Minimal Set of Pathways (MinPath) algorithm. Results Fecal samples were collected from children with IgE‐mediated FA (n = 66) and from sex‐ and age‐matched controls (n = 22). …”
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A SVR Learning Based Sensor Placement Approach for Nonlinear Spatially Distributed Systems by Xian-xia Zhang, Zhi-qiang Fu, Wei-lu Shan, Bing Wang, Tao Zou

“…SVR algorithm is innovatively used to extract the characteristics of spatial distribution from a spatiotemporal data set. …”
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Diagnosing facial synkinesis using artificial intelligence to advance facial palsy care by Leonard Knoedler, Christian Festbaum, Jillian Dean, Helena Baecher, Grégoire de Lambertye, Maximilian Maul, Thomas Schaschinger, Tobias Niederegger, Alexandra Scheiflinger, Michael Alfertshofer, Khalil Sherwani, Claudius Steffen, Max Heiland, Steffen Koerdt, Samuel Knoedler, Andreas Kehrer

“…Data from 70 FP patients were collected at the University Hospital Regensburg and compared to healthy controls from an online platform. …”
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Identification of biomarkers for Laryngeal squamous cell carcinoma through Mendelian randomization and integrated bioinformatics analysis by Pengjian Zhang, Weizhang Chen, Kai Chen, Yuanhang Ye, Weijun Wu

“…RNA-seq data from 114 LSCC and 12 normal samples were collected from the TCGA-HNSC cohort as a training set, while 270 LSCC samples were obtained from the GSE65858 dataset as a validation set. …”
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