Sodium butyrate regulates macrophage polarization by TGR5/β-arrestin2 in vitro by Miao Liu, Wen-jie Xie, Xu Zhang, Wei Wu, Guang Li, Lu Wang

“…Methods The targets of butyric acid were identified using SwissTargetPrediction database and surface plasmon resonance (SPR). …”
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The Relationship Between First-Trimester Aneuploidy Markers and Birth Weight by Cenk Soysal, Hatice Sari, Ozlem Erten, Ismail Biyik, Onur Ince, Yasemin Tasci, Nadi Keskin

“… OBJECTIVE: We aimed to determine the relationship between the first-trimester aneuploidy screeningma and the predicted weight at birth: Small for gestational age and large for gestational age. …”
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Numerical and Experimental Investigation of the Effect of Cavitation on Dual Clearance Squeeze Film Damper by Zhaojun Feng, Guihuo Luo, Hai Yang, Wangqun Deng, Wei Chen, Cheng Shen

“…The film pressure distribution in the outer layer (including the positive and negative pressure zones) obtained from the experimental test agrees well with the numerical prediction, which verifies the validity of the proposed numerical model. …”
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Above dendromass estimation of juvenile Paulownia sp. by Tatiana Stankova, Veselka Gyuleva, Dimitar N. Dimitrov, Hristina Hristova, Ekaterina Andonova

“…The regression models were fitted in log-transformed form to the logarithm of the stem biomass and MM correction factor for bias was applied to the back-transformed prediction data. Two allometric relationships were derived, which adequately assess stem dendromass of young Paulownia sp. from easily measurable tree characteristics. …”
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A topology-guided high-quality solution learning framework for security-constraint unit commitment based on graph convolutional network by Liqian Gao, Lishen Wei, Shichang Cui, Jiakun Fang, Xiaomeng Ai, Wei Yao, Jinyu Wen

“…Thirdly, a customized prediction-based NS is developed to restore the feasibility of the predicted commitment. …”
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Effect of electrical stimulation with a cochlear implant on tinnitus impact: protocol of an individual patient data meta-analysis by Inge Stegeman, Adriana L Smit, Kelly Assouly

“…We will also apply prediction models to individual patient data (IPD) of clinical trials to find predictive factors of the effect of electrical stimulation on tinnitus impact.Method and analysis The IPD meta-analysis is a follow-up project of the systematic review on cochlear implantation in patients with tinnitus as a primary complaint. …”
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Optimizing Stroke Detection Using Evidential Networks and Uncertainty-Based Refinement by Faranak Akbarifar, Sean P. Dukelow, Albert Jin, Parvin Mousavi, Stephen H. Scott

“…Using deep learning methods, particularly an evidential network, we distinguished impaired participants from healthy controls while generating measures of prediction uncertainty. By retraining the network with the least uncertain samples and refining the test set by excluding the top 10% most uncertain samples, we improved the sensitivity of detecting subtle impairments in minimally impaired stroke patients (those scoring normal on the CMSA) from 0.55 to 0.75. …”
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Quantitative Structure–Activity Relationship (QSAR) Modeling of Chiral CCR2 Antagonists with a Multidimensional Space of Novel Chirality Descriptors by Ramanathan Natarajan, Ganapathy S. Natarajan, Subhash C. Basak

“…The linear regression using the principal component scores (PCSs) resulted in a three-predictor prediction model with good statistics: R² = 0.823; Adj R² = 0.790. …”
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Overestimating Impacts of Urbanization on Regional Temperatures in Developing Megacity: Beijing as an Example by Wei Cao, Lin Huang, Lulu Liu, Jun Zhai, Dan Wu

“…In this study, we quantitatively investigated the impacts of urbanization on regional temperatures based on observations from meteorological stations and National Centers for Environmental Prediction (NCEP) reanalysis data and overestimating of the impacts were found. …”
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A Study Comparing Immunohistochemistry, Fluorescence in situ hybridization, GeneXpert® Breast Cancer STRAT4 Assay for Determining Hormone Receptor, Human Epidermal Growth Factor Re... by Rajaa El Aje, Abdellah Naya, Ayoub Khoaja, Younes Zaid, Mounia Oudghiri, Jodi Weidler, Mehdi Karkouri

“… The accurate assessment of hormone receptors, HER2, and Ki-67 proliferative index provides meaningful information about breast cancer prognosis and prediction of therapy response. Immunohistochemistry, the most common method for evaluating these prognostic biomarkers, can be impacted by numerous variabilities due to pre-analytical/analytical factors and subjective interpretation by pathologists. …”
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A Study of Occupational Therapy Strategies and Psychological Regulation of Students’ Internet Addiction in the Mobile Social Media Environment by Xueqin Zhang

“…Student peer attachment significantly and positively predicted adolescent Internet addiction; Internet use peer pressure played an incomplete mediating role in the prediction of peer attachment to Internet addiction; loneliness played a moderating role in the pathway of peer attachment to Internet addiction, and loneliness also played a moderating role in the pathway of peer attachment to Internet use peer pressure. …”
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Assessment of Beach Slope and Sediment Grain Size Anywhere in the World: Review of Existing Formulae, Integration of Tidal Influence, and Perspectives from Satellite Observations by Amélie Arias, Rafael Almar, Vincent Regard, Erwin W. J. Bergsma, Bruno Castelle, Thierry Garlan

“…Continued advances in satellite missions, including higher resolution and revisit frequency, as well as new sensors, are essential to improve predictive capabilities and facilitate wider implementation.…”
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Development and implementation of EcoDecibel: A low-cost and IoT-based device for noise measurement by Ling-Jyh Chen, Sakshi Saraswat, Fu-Shiang Ching, Chih-Yi Su, Hsin-Lan Huang, Wen-Chi Pan

“…The system was deployed across three environmental sites in Sanzhi District, Taiwan, for one week. Time-series prediction and forecasting models (SARIMA, Prophet, LSTM) were applied to the noise data to predict and forecast noise levels. …”
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Analysis of Human Resource Allocation Model for Tourism Industry Based on Improved BP Neural Network by Shuo Zhu, Yan Liu

“…Then, to address the problem that the initial weights of the long and short-term memory neural network and gated BP unit neural network have a large impact on the convergence speed and prediction accuracy of the algorithm after the initial weight selection is determined, this paper introduces the random perturbation term into the gate structure of the long and short-term memory neural network and gated BP unit neural network and proposes and connects an improved long and short-term memory neural network and gated BP unit neural network. …”
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A Social Media Dataset and H-GNN-Based Contrastive Learning Scheme for Multimodal Sentiment Analysis by Jiao Peng, Yue He, Yongjuan Chang, Yanyan Lu, Pengfei Zhang, Zhonghong Ou, Qingzhi Yu

“…In the case of additional labeling data, it guides the emotion prediction of the missing mode. We conduct extensive experiments on multiple datasets to verify the effectiveness of the proposed scheme. …”
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Validation of the Kidney Failure Risk Equation in the Colombian Population by C. Larrarte, J. Vesga, F. Ardila, A. Aldana, D. Perea, M. Sanabria

“…Calibration was determined by the degree of agreement between the observed outcome and the probabilities predicted by the model using the Hosmer–Lemeshow statistic. …”
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Optimization of Enterprise Financial Management and Decision-Making Systems Based on Big Data by Shaomin Ren

“…It is concluded that in the era of big data, massive data can be used to serve enterprise decision-making in depth, which can break the business and financial barriers, improve the efficiency and quality of decision-making, optimize the organizational structure and personnel, and enhance the prediction and early warning capability. The application of big data tools has become the key to assisting financial decision-making and enhancing enterprise value.…”
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Sinking Velocity Impact-Analysis for the Carrier-Based Aircraft Using the Response Surface Method-Based Improved Kriging Algorithm by Xiao-Feng Xue, Yuan-Zhuo Wang, Cheng Lu, Zhang Yun-Peng

“…Compared with the Kriging model and the empirical formula, the sinking velocity prediction accuracy indexes of IK-RSM are the best; for example, the determination coefficient is 0.981, the mean relative error is 1.813%, and the maximum relative error is 6.771%. …”
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Lamellar Body Count With Cell Dyn Emerald And Cell Dyn Ruby Methods On Preterm Birth by Erlinda Widyastuti, Ario Imandiri

“…Lamellar body count is useful for prediction of fetal lung maturity and neonatal respiratory distress syndrome. …”
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Functional Connectivity Changes in Multiple-Frequency Bands in Acute Basal Ganglia Ischemic Stroke Patients: A Machine Learning Approach by Jie Li, Lulu Cheng, Shijian Chen, Jian Zhang, Dongqiang Liu, Zhijian Liang, Huayun Li

“…SVM results showed that the combined features (slow-4+slow-5) had the highest accuracy in classification prediction of acute BGIS patients, with an area under curve (AUC) of 0.86. …”
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