Common protocol for validation of the QCOVID algorithm across the four UK nations by Ronan A Lyons, Aziz Sheikh, Vahe Nafilyan, Frank Kee, Carol Coupland, Julia Hippisley-Cox, Chris Robertson, Ben Humberstone, Jane Lyons, Christopher R Cardwell, Steven Kerr

“…Introduction The QCOVID algorithm is a risk prediction tool for infection and subsequent hospitalisation/death due to SARS-CoV-2. …”
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Research on the bearing performance of HSCA high-strength preloaded expansion piles in calcareous sand foundation by Tao Sun, Fang Wang, Jie Liu, Zhenxun Chen, Mingmin Tuo, Yunan Yang

“…The Coulomb strength theory of non-cohesive soil is employed to accurately calibrate the incremental side resistance of the expansion section. A prediction model for the bearing capacity of the expansion pile is established by combining the side resistance prediction model with the ultimate side resistance load-sharing ratio. …”
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Deep learning classification of MGMT status of glioblastomas using multiparametric MRI with a novel domain knowledge augmented mask fusion approach by İlker Özgür Koska, Çağan Koska

“…Single sequence-based classifiers reached intermediate predictive performance with 0.65, 0.71, 0.77, and 0.82 accuracy for T1W, T2W, T1 contrast-enhanced, and FLAIR sequences, respectively. …”
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Estimating the contribution of Arctic sea-ice loss to central Asia temperature anomalies: the case of winter 2020/2021 by Lara R Cosford, Rohit Ghosh, Marlene Kretschmer, Clare Oatley, Theodore G Shepherd

“…This study illustrates the efficacy of causal network analysis, which has implications for seasonal prediction and attribution of midlatitude winter anomalies.…”
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Exploration and comparison of the effectiveness of swarm intelligence algorithm in early identification of cardiovascular disease by Tiantian Bai, Mengru Xu, Taotao Zhang, Xianjie Jia, Fuzhi Wang, Xiuling Jiang, Xing Wei

“…Early and accurate prediction of cardiovascular disease is crucial to reducing morbidity and mortality, but traditional prediction methods often lack robustness. …”
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Human Polymorphisms as Clinical Predictors in Leprosy by Ernesto Prado Montes de Oca

“…Genetic and serum markers in human host can predict leprosy susceptibility per se as well as be useful in classification and/or prediction of clinical variants and immunological responses in leprosy. …”
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Bootstrap Order Determination for ARMA Models: A Comparison between Different Model Selection Criteria by Livio Fenga

“…They are the final prediction error, the Bayesian information criterion, and the Hannan-Quinn information criterion which are employed in conjunction with a semiparametric bootstrap scheme of the type sieve.…”
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Introduction to Geographic Information Systems by John Lagrosa, Chris Demers, Michael Andreu

“…Farming applications include soil productivity for different crops, crop yield prediction, and determining fertilizer and pesticide application rates. …”
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IMPROVEMENT OF MANAGEMENT ACCOUNTING OF ENTREPRENEURIAL ACTIVITY IN INTERNATIONAL TOURISM by D. Rozhkova

“…The system of management accounting of entrepreneurial activity, which includes management of processes: entering new markets, innovative activity, prediction and risk assessment have shown. Within the framework of the implementation of management accounting systems it is proposed to reform the existing organizational structure of the tourism organization. …”
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Rapid Geographical Origin Identification and Quality Assessment of Angelicae Sinensis Radix by FT-NIR Spectroscopy by Zhen-yu Zhang, Ying-jun Wang, Hui Yan, Xiang-wei Chang, Gui-sheng Zhou, Lei Zhu, Pei Liu, Sheng Guo, Tina T. X. Dong, Jin-ao Duan

“…The optimum SVM model had a recognition rate of 100% for the calibration set and 83.72% for the prediction set. In addition, a quantitative model was established to predict the content of ferulic acid and Z-ligustilide using FT-NIR. …”
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Differences in the Cardiovascular Risk Assessment in Cardiology Outpatients in Mali: Comparison between Framingham Body Mass Index-Based Tool and Low-Information World Health Organ... by Bâ Hamidou Oumar, Sangaré Ibrahima, Camara Youssouf, Sidibé Noumou, Coulibaly Souleymane, Cissoko Yacouba, Sidibé Samba, Konaté Massama, Maiga Asmaou Kéita, Doumbia Coumba Thiam, Touré Mamadou, Diakité Mamadou, Menta Ichaka, Diall Ilo Bella

“…After sample description, the risk score was assessed using bmi-Frm and li-WHO prediction tools. Finally, a kappa test was performed to check for the interreliability of both methods. …”
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Prediksi Bidang Penelitian dan Rekomendasi Dosen Pembimbing Skripsi Berdasarkan Konten Latar Belakang pada Naskah Proposal Menggunakan Metode Multi-Class Support Vector Machine dan... by Yustinus Radityo Pradana, Ahmad Afif Supianto, Yusi Tyroni Mursityo

“…KJFD prediction formulated based on introduction contents in proposal manuscript. …”
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Storm-Scale Radar Data Assimilation and High Resolution NWP by Jidong Gao, David J. Stensrud, Louis Wicker, Ming Xue, Kun Zhao

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T-S Fuzzy Control of Uncertain Chaotic Vibration by Abdelkrim Boukabou, Noura Mansouri

“…We first introduce prediction into each subsystem of Takagi Sugeno (T-S) fuzzy IF-THEN rules and then present a unified T-S predictive fuzzy model for chaos control. …”
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Probable Values of Current Solar Cycle Peak by V. M. Silbergleit

“…According to that, the amplitude of current solar cycle 24 is estimated providing a quantitative prediction result. Our adjustment shows that the current cycle would have a sunspot peak less than the biggest one observed during the cycle 19 giving an additional support to the declination in solar activity which is currently happening.…”
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Torsional Vibrations at Guide-Vane Shaft of Pump–Turbine Model by Andrej Predin

“…The mathematical models for theoretical torsional vibration prediction formulated using linear and nonlinear differential equations are presented. …”
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Introduction to Geographic Information Systems by John Lagrosa, Chris Demers, Michael Andreu

“…Farming applications include soil productivity for different crops, crop yield prediction, and determining fertilizer and pesticide application rates. …”
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Characterization of Low Visibility and Forecasting Model in Chongqing Central Area by Yu Han, Yi Liu, Yaping Zhang, Jun He, Yan Zhang, Qu Guo, Huan Wang

“…By using the hourly visibility, temperature, pressure, humidity, wind, and atmospheric particulate concentration data in Chongqing from 2015 to 2023, the characteristics of low visibility (visibility <1000 m) in Chongqing and the influence of various factors on low visibility in Chongqing were analyzed. The visibility prediction model was established by using the neural network method, and the effect of introducing the PM2.5 concentration factor on low visibility prediction was analyzed and compared. …”
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Algorithm and Hardware Design of a Fast Intra Frame Mode Decision Module for H.264/AVC Encoders by Daniel Palomino, Guilherme Corrêa, Cláudio Diniz, Sergio Bampi, Luciano Agostini, Altamiro Susin

“…Considering H.264/AVC intra frame prediction, there are several modes to encode a macroblock (MB). …”
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Genesis of the Longmendian Ag–Pb–Zn Deposit in Henan (Central China): Constraints from Fluid Inclusions and H–C–O–S–Pb Isotopes by Xinglin Chen, Yongjun Shao, Chunkit Lai, Cheng Wang

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