Prediction of the Possibility of Hemorrhagic Syndrome during Combined Antiplatelet Therapy According to the Krasnodar Region Registry by Z. G. Tatarintseva, E. D. Kosmacheva, S. V. Kruchinova, V. A. Akinshina, A. A. Khalafyan

“…To identify predictors of predictive models of the possible development of hemorrhagic syndrome in patients with triple antithrombotic therapy, the Spearman correlation coefficient was used. The study of correlations allowed to reveal clinical indicators – predictors of prognostic models. …”
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Suitability of Baking Processing for Yak Stomach with Different Muscle Layer Thicknesses by Tianxia ZHAO, Min LIU, Shengsheng LI, Yan ZHANG, Qianglong ZHANG

“…A comprehensive quality evaluation model Y=0.33A1−0.05A2+0.12A3+0.26A4+0.35A5 (A1~A5 represents b* value, shearing force, foam stability, foaming ability, elasticity) was established. Results showed that those stomach were suitable for roasting, which were the rumem with the muscle layer thickness were 1.5~1.8 cm, the omasum with the muscle layer thickness were 1.0~1.2 cm, and the reticulum with the muscle layer thickness were 0.6~1.2 cm. …”
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Choice of Extraction Method for Receiving Extraction from Seeds of Payne Hay with the High Content of Biologically Active Substances by S. S. Belokurov, E. V. Flysyuk, I. E. Smekhova

“…At the same time, the ability to regulate the concentration of recoverable active substances during the technological process opens up prospects for the use of natural components as the main pharmaceutical substance.Aim. …”
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Validation of the Hindi version of the MOS SF-36 health survey for evaluating quality of life among the elderly population in North India by Rashmi Kumari, Chhaya Singh, Mritunjay Kumar, Arvind K. Singh, Amit Kaushik, Beena Sachan, Vinita Shukla, Arshi Ansari, Sunil Dutt Kandpal

“…Results: Hindi version of SF 36 questionnaire showed strong reliability, with Cronbach’s alpha coefficients for all subscales above 0.7, and a split-half reliability coefficient of 0.806. …”
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Polymorphic Amplified Typing Sequences and Pulsed-Field Gel Electrophoresis Yield Comparable Results in the Strain Typing of a Diverse Set of Bovine Escherichia coli O157:H7 Isolat... by Indira T. Kudva, Margaret A. Davis, Robert W. Griffin, Jeonifer Garren, Megan Murray, Manohar John, Carolyn J. Hovde, Stephen B. Calderwood

“…Polymorphic amplified typing sequences (PATS), a PCR-based Escherichia coli O157:H7 (O157) strain typing system, targets insertions-deletions and single nucleotide polymorphisms at XbaI and AvrII restriction enzyme sites, respectively, and the virulence genes (stx1, stx2, eae, hlyA) in the O157 genome. In this study, the ability of PATS to discriminate O157 isolates associated with cattle was evaluated. …”
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Prediction of Soybean Yield at the County Scale Based on Multi-Source Remote-Sensing Data and Deep Learning Models by Hongkun Fu, Jian Li, Jian Lu, Xinglei Lin, Junrui Kang, Wenlong Zou, Xiangyu Ning, Yue Sun

“…The ACGM model demonstrates a good accuracy and generalization ability, providing a practical approach for refined agricultural management. …”
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FSS-ULivR: a clinically-inspired few-shot segmentation framework for liver imaging using unified representations and attention mechanisms by Ripon Kumar Debnath, Md. Abdur Rahman, Sami Azam, Yan Zhang, Mirjam Jonkman

“…Through extensive experiments, our FSS-ULivR model achieved an outstanding Dice coefficient of 98.94%, Intersection over Union (IoU) of 97.44% and a specificity of 93.78% on the Liver Tumor Segmentation Challenge dataset. …”
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Finite Element Analysis of the Mechanical Performance of an Innovative Beam-Column Joint Incorporating V-Shaped Steel as a Replaceable Energy-Dissipating Component by Lin Zhang, Yiru Hou, Yi Wang

“…Ductile structures have demonstrated the ability to withstand increased seismic intensity levels. …”
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Region-based U-nets for fast, accurate, and scalable deep brain segmentation: Application to Parkinson Plus Syndromes by Mengyu Li, Magnús Magnússon, Ingibjörg Kristjánsdóttir, Sigrún Helga Lund, Thilo van Eimeren, Lotta M. Ellingsen

“…Automated MRI segmentation is important for early detection, as it offers consistent measurements and the ability to detect subtle structural changes in the brain. …”
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Effect of Co-Doping on the Photoelectric Properties of the Novel Two-Dimensional Material Borophene by Chunhong Zhang, Zhongzheng Zhang

“…The static refractive index n0 can be increased from 2.25 to 2.65 by co-doping. The extinction coefficient shows strong band edge absorption at the low-energy range with an absorption edge of 0.85 eV. …”
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A three stage attention enabled stacked deep CNN-BiLSTM (ASDCBNet) model for end-to-end monitoring of wastewater treatment plant by S. Ullas, B. Uma Maheswari, Seshaiah Ponnekant, T. M. Mohan Kumar

“…Furthermore, the model achieved an exceptionally low mean absolute percentage error of just 0.05%, highlighting its ability to effectively handle variability in the data, ensuring high accuracy in inflow volume forecasting. …”
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Classification of Seabed Sediment by Combining Airborne LiDAR Bathymetry and Multispectral Remote Sensing Images by Dianpeng Su, Han Gao, Anxiu Yang, Juan Wang, Xiaozheng Mai, Xudong Liu, Fanlin Yang, Ziyin Wu

“…Experimental results show that the overall classification accuracy and the Kappa coefficient of the dual CNN classifier constructed in this article are 98.2% and 0.977, respectively. …”
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Evaluation of the influence of abiotic environmental factors on the cob structure elements formation of sweet corn cultivar samples in the Saratov Region by Svetlana A. Guseva, Oksana S. Nosko, Oksana S. Bashinskaya, Denis D. Babushkin

“…In future, they should be used in topcrossing for evaluation of combining ability.…”
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The manifestation of VIS-NIRS spectroscopy data to predict and mapping soil texture in the Triffa plain (Morocco) by Ayoub Lazaar, Biswajeet Pradhan, Zakariae Naiji, Abdelali Gourfi, Kamal El Hammouti, Karim Andich, Abdelilah Monir

“…The partial least squares regression (PLSR) technique was used to assess the ability of spectral data to predict soil texture. …”
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Prediction of Pilot Performance During Startle Events Based on Neuropsychophysiological Features of Stress Resilience and Cognitive Task Scores by Mate Gambiraza, Sinisa Popovic, Matej Kurtak, Tanja Jovanovic, Seth Norrholm, Kresimir Cosic

“…The optimally predictive features/scores from Phase 1 were related to startle reflex habituation, multitasking ability, heart rate recovery after threat, and resting respiratory sinus arrhythmia. …”
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Enhancing CYGNSS Soil Moisture Retrieval Accuracy by Considering the Lag Effect of Sun-Induced Fluorescence by Jinghui Liu, Xianyun Zhang, Xiaodong Deng, Hongquan Wang

“…The normalized difference vegetation index is widely used for large-scale SM retrieval due to its ability to characterize vegetation’s physiological status and growth. …”
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Forecasting Delivery Time of Goods in Supply Chains Using Machine Learning Methods by V. K. Rezvanov, O. M. Romakina, E. V. Zaytseva

“…The model evaluation showed a high determination coefficient close to one (0.986). Low values of the mean square error (0.0367) and mean absolute error (0.0324) were recorded. …”
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Gaussian Process Regression Total Nitrogen Prediction Based on Data Decomposition Technology and Several Intelligent Algorithms by WANG Yongshun, CUI Dongwen

“…Total nitrogen (TN) is one of the important indicators to reflect the degree of water pollution and measure the eutrophication status of lakes and reservoirs.To improve the accuracy of TN prediction,based on the empirical wavelet transform (EWT) and wavelet packet transform (WPT) decomposition technology,this paper proposes a Gaussian process regression (GPR) prediction model optimized by osprey optimization algorithm (OOA),rime optimization algorithm (ROA),bald eagle search (BES) and black widow optimization algorithm (BWOA) respectively.Firstly,the TN time series is decomposed into several more regular subsequence components by EWT and WPT respectively.Then,the paper briefly introduces the principles of OOA,ROA,BES,and BWOA algorithms and applies OOA,ROA,BES,and BWOA to optimize GPR hyperparameters.Finally,EWT-OOA-GPR,EWT-ROA-GPR,EWT-BES-GPR,EWT-BWOA-GPR,WPT-OOA-GPR,WPT-ROA-GPR,WPT-BES-GPR,WPT-BWOA-GPR models (EWT-OOA-GPR and other eight models for short) are established to predict the components of TN by the optimized super-parameters.The final prediction results are obtained after reconstruction,and WT-OOA-GPR,WT-ROA-GPR,WT-BES-GPR and WT-BWOA-GPR models based on wavelet transform (WT) are built.Eight models,including EWT-OOA-SVM based on support vector machine (SVM),the paper compares the unoptimized EWT-GPR,WPT-GPR models,and the uncomposed OOA-GPR,ROA-GPR,BES-GPR,and BWOA-GPR models.The models were verified by the monitoring TN concentration time series data of Mudihe Reservoir,an important drinking water source in China,from 2008 to 2022.The results are as follows.① The average absolute percentage error of eight models such as EWT-OOA-GPR for TN prediction is between 0.161% and 0.219%,and the coefficient of determination is 0.999 9,which is superior to other comparison models,with higher prediction accuracy and better generalization ability.② EWT takes into account the advantages of WT and EMD.WPT can decompose low-frequency and high-frequency signals at the same time.Both of them can decompose TN time series data into more regular modal components,significantly improving the accuracy of model prediction,and the decomposition effect is better than that of the WT method.③ OOA,ROA,BES,and BWOA can effectively optimize GPR hyperparameters and improve GPR prediction performance.…”
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The Relationship Between Emotional Intelligence and Sleep Quality in Female High School Students: A Web-based Cross-sectional Study by Robabeh Soleimani, Mohadese Najafi Chakusari, Shima Payandeh, Samaneh Safari, Fatemeh Eslamdoust-Siahestalkhi

“…Background Emotional intelligence as the ability to understand emotions in self and others, is recognized as underlying success in various aspects. …”
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EMSAM: enhanced multi-scale segment anything model for leaf disease segmentation by Junlong Li, Quan Feng, Jianhua Zhang, Jianhua Zhang, Sen Yang

“…Particularly, for images with moderate and severe disease levels, EMSAM achieved Dice Coefficients of 0.8354 and 0.8178, respectively, significantly outperforming other semantic segmentation algorithms. …”
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