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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High throughput phenotyping in soybean breeding using RGB image vegetation indices based on drone by Andressa K. S. Alves, Maurício S. Araújo, Saulo F. S. Chaves, Luiz Antônio S. Dias, Lucas P. Corrêdo, Gabriel G. F. A. Pessoa, André R. G. Bezerra

“…We used a linear mixed effects model, with restricted maximum likelihood (REML)/best linear unbiased prediction (BLUP) methods, to estimate variance components and genetic correlations, and to predict genotypic values. …”
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Three-Dimensional Diffusion Model in Sports Dance Video Human Skeleton Detection and Extraction by Zhi Li

“…The research in this paper mainly includes as follows: for the principle of action recognition based on the 3D diffusion model convolutional neural network, the whole detection process is carried out from fine to coarse using a bottom-up approach; for the human skeleton detection accuracy, a multibranch multistage cascaded CNN structure is proposed, and this network structure enables the model to learn the relationship between the joints of the human body from the original image and effectively predict the occluded parts, allowing simultaneous prediction of skeleton point positions and skeleton point association information on the one hand, and refinement of the detection results in an iterative manner on the other. …”
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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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Advancing hospital healthcare: achieving IoT-based secure health monitoring through multilayer machine learning by Ke Qi

“…It assists in patient’s health issues which are diagnosed with the existing database of the history of that patient and proper measures are taken with proper diagnosis and using this prediction model. The health status is diagnosed from the pre-historical database of the patient’s database. …”
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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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Modeling Dominant Height Growth in Planted Pinus pinea Stands in Northwest of Tunisia by Sghaier Tahar, Palahi Marc, Garchi Salah, Bonet José Antonio, Ammari Youssef, Pique Miriam

“…The relative error in site index predictions was used to select 30 years as the best reference age. …”
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Deep Learning and Multidisciplinary Imaging in Pediatric Surgical Oncology: A Scoping Review by M. A. D. Buser, J. K. van derRest, M. H. W. A. Wijnen, R. R. deKrijger, A. F. W. van derSteeg, M. M. van denHeuvel‐Eibrink, M. Reismann, S. Veldhoen, L. Pio, M. Markel

“…Four types of tasks were identified in our review: classification, prediction, segmentation, and synthesis. General statements about the studies'’ performance could not be made due to the inhomogeneity of the included studies. …”
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The Relationship between Routine Blood Parameters and the Prognosis of COVID-19 Patients in the Emergency Department by Birsen Ertekin, Mehmet Yortanlı, Ozan Özelbaykal, Ali Doğru, A. Sadık Girişgin, Tarık Acar

“…The sensitivity, specificity, positive predictive values (PPVs), and negative predictive values (NPVs) in the prediction of death according to the cutoff values of the parameters have been determined. …”
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F10.7 Daily Forecast Using LSTM Combined With VMD Method by Yuhang Hao, Jianyong Lu, Guangshuai Peng, Ming Wang, Jingyuan Li, Guanchun Wei

“…All IMF prediction results are aggregated to obtain the final F10.7 value. …”
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Maximum value of the spin-independent cross section in the 2HDM+a by Tomohiro Abe, Motoko Fujiwara, Junji Hisano, Yutaro Shoji

“…Under these theoretical constraints, we find that the maximum value of the σSI is ∼ 5 × 10−47 cm2 for mA = 600 GeV, and the LZ and XENONnT experiments can see the DM signal predicted in this model near future.…”
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