A new clothing image retrieval algorithm based on sketch component segmentation in mobile visual sensors by Haopeng Lei, Yugen Yi, Yuhua Li, Guoliang Luo, Mingwen Wang

“…The proposed strategy is to first collect a large scale of clothing sketches and images and tag with semantic component labels for training dataset, and then, we employ conditional random field model to train a classifier which is used to segment query sketch into different components. …”
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Probabilistic stability assessment of slope considering soft soil and silty clay foundations by Gan Liu, Dongxian Li

“…To further investigate the effects of the spatial variability of soil properties on the stability and failure mechanism of slope under different foundation types, this study develops a framework combining simple limit equilibrium method (LEM), Monte Carlo Simulation (MCS), and random field to incorporate these factors into slope probabilistic stability analysis. …”
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Adverse drug event detection using natural language processing: A scoping review of supervised learning methods. by Rachel M Murphy, Joanna E Klopotowska, Nicolette F de Keizer, Kitty J Jager, Jan Hendrik Leopold, Dave A Dongelmans, Ameen Abu-Hanna, Martijn C Schut

“…Multiple NLP modelling approaches seem suitable, with Long Short Term Memory and Conditional Random Field methods most commonly used. Although reported overall performance of the systems was high, it provides an inflated impression given a steep drop in performance when predicting the ADE entity or ADE relation class. …”
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A comparative study on energy use and environmental impacts in various greenhouse models for vegetable cultivation by Hadi Saadi, Molood Behnia, Morteza Taki, Ali Kaab

“…Data was collected from greenhouses with both types of structures, as well as from a random field survey of 20 greenhouses in the city. The results showed that energy consumption in Tunnel greenhouses for cucumber, tomato, and eggplant crops was 4.35 × 106, 3.85 × 106 and 3.33 × 106 MJ ha−1 respectively. …”
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Short-term effects of argon cold atmospheric plasma on canine corneas ex vivo by Juliane Dick, Sandra Lockow, Wolfgang Baumgärtner, Holger Andreas Volk, Claudia Busse

“…The number of perilimbal epithelial cell nuclei varied between groups with c1 = 22 ± 6, t0 = 13 ± 5, t2 = 15 ± 5 and t5 = 10 ± 4 nuclei/randomized fields and was lowest in t5, which was significantly different from t2 but not from t0. …”
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Effect of Three Colostrum Diets on Passive Transfer of Immunity and Preweaning Health in Calves on a California Dairy following Colostrum Management Training by Deniece R. Williams, Patrick Pithua, Angel Garcia, John Champagne, Deborah M. Haines, Sharif S. Aly

“…Following colostrum management training, a randomized field trial was conducted on a California dairy to determine the effect of supplementing pooled colostrum with either colostrum-derived replacer (CDR) or second-milking colostrum (transition milk) on failure of passive transfer (FPT) and preweaning morbidity risks. …”
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Multisource Accident Datasets-Driven Deep Learning-Based Traffic Accident Portrait for Accident Reasoning by Chun-Hao Wang, Yue-Tian-Si Ji, Li Ruan, Joshua Luhwago, Yin-Xuan Saw, Sokhey Kim, Tao Ruan, Li-Min Xiao, Rui-Jue Zhou

“…Our multisource accident datasets-driven deep learning model is composed of the following three submodels: (1) the structured data accident model using our accident feature-driven bidirectional long short-term memory (Bi-LSTM) and accident feature-driven bidirectional conditional random field (Bi-CRF) model to extract labels, (2) the unstructured traffic accident data model using our accident feature-driven piecewise convolutional neural network (PCNN) model to identify the extracted labels, and (3) the semistructured traffic accident data processing model. …”
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Functional Connectivity Alterations Associated with COVID-19-Related Sleep Problems: A Longitudinal Resting-State fMRI Study by Chen HB, Li L, Sun YK, Liu Y, Chen W, Liu P, Liao YH, Xie A

“…Correlations between FC and clinical data were analyzed by Pearson correlation analysis with Gaussian random field (GRF) correction. The repeated-measures analysis of variance (R-M ANOVA) was completed to explore the interaction with time.Results: At baseline, COVID_SP exhibited elevated FC: right precentral gyrus (PrG) with left lateral occipital cortex (LOcC)/right PrG, left inferior parietal lobule (IPL) with right superior frontal gyrus (SFG), left hippocampus with right inferior frontal gyrus (IFG). …”
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