Comparison of Pediatric Risk of Mortality (PRISM III) score with Pediatric Index of Mortality (PIM III) score in Pediatric Intensive Care Unit: A Single center, prospective observa... by Nidhi Srinivas, Kavya Venugopal, Gurudutta Avathi Venkatesha, Nagalatha Chidanand

“…Background: Pediatric risk of mortality (PRISM III) score and pediatric index of mortality (PIM III) scores are most recent versions of PRISM and PIM score used for mortality prediction in the Pediatric intensive care units (PICUs). …”
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The Preventable Risk Integrated ModEl and Its Use to Estimate the Health Impact of Public Health Policy Scenarios by Peter Scarborough, Richard A. Harrington, Anja Mizdrak, Lijuan Marissa Zhou, Aiden Doherty

“…Future challenges for NCD scenario modelling, including the need for more comparisons between models and the improvement of future prediction of NCD rates, are also discussed.…”
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Modeling the Distribution of Dominant Hard Ticks in Southeastern Coastal Areas of the Caspian Sea by Sedighe Nabian, Elahe Ebrahimzadeh, Abbas Farahi, Ahmad Ali Hanafi-Bojd

“…This means that tem­perature and precipitation were effective environmental variables for the prediction of appropriate regions for these tick species. …”
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Permeability Enhancement of Coal Seam by Lower Protective Layer Mining for Gas Outburst Prevention by Aiping He, Hua Fu, Bingjie Huo, Chaojun Fan

“…Risk prediction of dynamic disasters such as rock burst, gas outburst, and water inrush is closely related to the permeability evolution of coal seam. …”
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Spectral enhancement of PlanetScope using Sentinel-2 images to estimate soybean yield and seed composition by Supria Sarkar, Vasit Sagan, Sourav Bhadra, Felix B. Fritschi

“…Our results indicate that VNIR3 prediction performance was the highest followed by VNIR2, VNIR1, SWIR1, and SWIR2. …”
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Application of reproductive technologies to the improvement of dairy cattle genomic selection by N. S. Yudin, K. I. Lukyanov, M. I. Voevoda, N. A. Kolchanov

“…Genomic selection is a direction of breeding in which the value of an animal is predicted from DNA markers evenly covering the entire genome. …”
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Rapid Identification of Saline–Alkali Stress-Tolerant Peanut Varieties Based on Multimodal Data by Fan Zhang, Longgang Zhao, Tingting Guo, Ziyang Wang, Peng Lou, Juan Li

“…The model effectively predicted the salt–alkali stress tolerance of five varieties, and the predicted results were Huayu25, Yuhua31, Yuhua33, Yuhua32, and Yuhua164 from high to low. …”
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A nomogram for postoperative pain relief in patients with osteoporotic vertebral compression fracture treated with polymethylmethacrylate bone cement by Shirong Lu, Xudong Xia, Xu Shi, Xiaoli Qin, Chunguang Wang, Wei Wei

“…The purpose of this study was to establish a risk prediction model for pain relief following PKP in patients with OVCF. …”
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Exploring the Pharmacological Potential of Carrageenan Disaccharides as Antitumor Agents: An In Silico Approach by Ohana Leticia Tavares Silva, Monique Gabriela das Chagas Faustino Alves, Hugo Alexandre Oliveira Rocha

“…Target prediction using SwissTarget and PPB2 identified five carbonic anhydrases, which are also targets of oncology drugs, as common targets for the disaccharides. …”
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Iono–Magnonic Reservoir Computing With Chaotic Spin Wave Interference Manipulated by Ion‐Gating by Wataru Namiki, Daiki Nishioka, Yuki Nomura, Takashi Tsuchiya, Kazuo Yamamoto, Kazuya Terabe

“…Utilizing the strong nonlinearity resulting from chaos, the reservoir shows good computational performance in completing the Mackey–Glass chaotic time‐series prediction task, and the performance is comparable to that exhibited by simulated neural networks.…”
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Whole Exome Sequencing Reveals Rare Variants in Genes Associated with Metabolic Disorders in Women with PCOS by Priyal Sharma, Ashutosh Halder, Manish Jain, Manish Tripathi

“…Subsequently, we analysed these variants using in silico prediction software to determine their functional effects. …”
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Theoretical and experimental investigations of the CMOS compatible Pirani gauges with a temperature compensation model by Shizhen Xu, Gai Yang, Junfu Chen, Rui Jiao, Ruoqin Wang, Hongyu Yu, Huikai Xie, Xiaoyi Wang

“…A semi-empirical theoretical mode was derived for performance prediction, demonstrating strong alignment with experimental results, underscoring its effectiveness in compensating for sensitivity attenuation. …”
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Robust integral sliding mode control for pressure management in multi-phase flow systems by Nezar M. Alyazidi, Aiman F. Bawazir, Ala S. Al-Dogail

“…The contributions of this research include the development of a data-driven system identification methodology using a single-input, single-output (SISO) Hammerstein model, enabling precise pressure prediction based on experimental data collected from the lab. …”
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An interaction relational inference method for a coal-mining equipment system by Xiangang Cao, Jiajun Gao, Xin Yang, Fuyuan Zhao, Boyang Cheng

“…CIRI’s interaction optimizer introduces an attention mechanism to assign weights to interaction relations, and it predicts future system states based on device-monitoring data and interaction relations, optimizing the types and weights of interaction relations between nodes by reducing prediction errors. …”
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Sequence-variable attention temporal convolutional network for volcanic lithology identification based on well logs by Hanlin Feng, Zitong Zhang, Chunlei Zhang, Chengcheng Zhong, Qiaoyu Ma

“…It provides more reliable prediction results and exhibits good stability and generalization, offering a new avenue to volcanic lithology identification.…”
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NeuralACT: Accounting Analytics Using Neural Network for Real-Time Decision Making From Big Data by Leonidas Theodorakopoulos, Alexandra Theodoropoulou, Georgios Kampiotis, Ioanna Kalliampakou

“…This paper presents a deep neural network (DNN)-based accounting analytics, NeuralACT, to support the decision-making process using real-time predictions made from big data. It uses a Bidirectional Long Short-Term Memory (BiLSTM) network trained with Visegrad Group Companies (VGC) dataset customized and improved for accounting features prediction. …”
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Synchronization in graph analysis algorithms on the Partially Ordered Event‐Triggered Systems many‐core architecture by Ashur Rafiev, Alex Yakovlev, Ghaith Tarawneh, Matthew F. Naylor, Simon W. Moore, David B. Thomas, Graeme M. Bragg, Mark L. Vousden, Andrew D. Brown

“…Our experiments show that some graph applications favour synchronized communication, but the effect is hard to predict in general because of the interplay between multiple hardware and software factors. …”
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Population dynamics and yield estimation of Common Carp (Cyprinus carpio, Linnaeus, 1758) in Ayalew reservoir, Gamo Zone, Southern Ethiopia by Buchale Shishitu Shija, Atnafu W/yohans Firew

“…Jones length-based cohort analysis model and length-based Thompson and Bell yield prediction models were employed to estimate the population and production potential. …”
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Does Industrial Agglomeration Promote Carbon Efficiency? A Spatial Econometric Analysis and Fractional-Order Grey Forecasting by Zuoren Sun, Yi Liu

“…By adding the predicted results to the spatial correlation test, new evidence on the spatial correlation of carbon efficiency and spatial division of labor between cities is obtained. …”
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Oxidative Stress Level as a Predictor of Anastomotic Leakage after Rectal Surgery by Jiajun Luo, Hongxue Wu, Yu Yang, Yue Jiang, Jingwen Yuan, Qiang Tong

“…More specifically, among the redox indicators analyzed, MDA has almost the same predictive value as CRP, which provides another useful biomarker for the early diagnosis of anastomotic leakage.…”
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