Effects of manual osteopathic interventions on psychometric and psychophysiological indicators of anxiety, depression and stress in adults: a systematic review and meta-analysis of... by Darren J Edwards, Jerry Draper-Rodi, Danny Miller, Josh Hope-Bell, Andrew MacMillan, Tom C Gordon

“…Random-effects models accounted for heterogeneity, and prediction intervals were calculated to assess uncertainty in effect estimates.Results 20 RCTs were included. …”
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Association of Albumin‐To‐Creatinine Ratio With Diabetic Retinopathy Among US Adults (NHANES 2009–2016) by Han Dai, Ling Liu, Weiwei Xu

“…The UACR/SACR ratio demonstrated superior predictive capability for DR compared to SACR and UACR alone. …”
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Distinct neural computations scale the violation of expected reward and emotion in social transgressions by Ting Xu, Lei Zhang, Feng Zhou, Kun Fu, Xianyang Gan, Zhiyi Chen, Ran Zhang, Chunmei Lan, Lan Wang, Keith M. Kendrick, Dezhong Yao, Benjamin Becker

“…Abstract Traditional decision-making models conceptualize humans as adaptive learners utilizing the differences between expected and actual rewards (prediction errors, PEs) to maximize outcomes, but rarely consider the influence of violations of emotional expectations (emotional PEs) and how it differs from reward PEs. …”
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Solar Flare Forecasting Using Hybrid Neural Networks by Dan Xu, Pengchao Sun, Song Feng, Bo Liang, Wei Dai

“…Therefore, it is crucial to establish highly accurate solar flare prediction models to enable humans to anticipate solar flare eruptions in advance, thereby reducing human and economic losses. …”
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Surgical techniques and prognostic nomogram for patients with supravalvular aortic stenosis by Yuekun Sun, Lizhi Lv, Xinyue Lang, Aihua Zhi, Simeng Zhang, Cheng Wang, Qiang Wang

“…Abstract Background An effective prognostic nomogram to predict the prognosis for supravalvular aortic stenosis (SVAS) patients is lacking. …”
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A Study on Canopy Volume Measurement Model for Fruit Tree Application Based on LiDAR Point Cloud by Na Guo, Ning Xu, Jianming Kang, Guohai Zhang, Qingshan Meng, Mengmeng Niu, Wenxuan Wu, Xingguo Zhang

“…These results demonstrate that the PLSR model exhibits strong generalization ability, minimal prediction bias, and low average prediction error, offering a valuable reference for precision control of canopy spraying in orchards.…”
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Automation of urban technological census. The historical centre of Bethlehem by Elisabetta Doria

“…The model lifecycle management, from training to prediction and deployment, as well as the storage of both image data and metadata, is performed through the scalability of a Cloud enterprise architecture. …”
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Analytical Equations for Thermoacoustic Instability Sources and Acoustic Radiation from Reacting Turbulence by S. A. E. Miller

“…An analytical spectral prediction method is presented, and the two-point source terms are consistent with Lord Rayleigh’s instability model. …”
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A Hybrid Model of Extreme Learning Machine Based on Bat and Cuckoo Search Algorithm for Regression and Multiclass Classification by Qinwei Fan, Tongke Fan

“…We test the numerical experimental performance of function approximation and classification problems under a few benchmark datasets; simulation results show that the proposed algorithm can obtain significantly better prediction accuracy compared to similar algorithms.…”
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Communication management in a millennium of chaos and change by Ursula Stroh

“…Strategic planning will become even more important, but will have to change from the basic premise of control and prediction to scenario planning, and the emphasis will be on relationship building. …”
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Grammaticalité et changement d’acceptabilité : le cas de help by Mathilde Pinson

“…The corpora chosen for this study, in particular COHA and the Old Bailey Proceedings, reveal that these factors do not simply help to explain the low frequency of dispreferred structures, but can even be considered the main factor triggering language change, in line with Rohdenburg’s prediction (2003: 243). The principle of horror aequi (Brugmann 1909) turns out to be the initial impetus leading to the current disappearance of to after help and questions of processing are shown to have engendered the obsolescence of the [capacity + help]NPI construction. …”
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A New Statistical Method for Maximum Power Estimation in CMOS VLSI Circuits by N. E. Evmorfopoulos, J. N. Avaritsiotis

“…The main features of the method are the relatively small and circuitin-dependent subset of input patterns required for accurate prediction of maximum power and its simulative nature which ensures that no over-simplifying assumptions are made. …”
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The Influence of Political Connections on the Cost of Capital and the Performance of Companies Listed on B3 by Jaison Caetano da Silva, Wlamir Gonçalves Xavier, Cinara Gambirage, Silvio Parodi Oliveira Camilo

“…Our findings do not corroborate the theoretical and intuitive prediction that “crony capitalism” reduces the cost of capital and improves the performance of companies, since we did not obtain empirical evidence that allows affirming that the effect of donations on the cost of capital and the performance of connected companies is different from zero.…”
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Au-delà de la Smart City : Imaginaires , infrastructures, dynamiques urbaines et promesses du monde d’après by Meryam Benabdeljelil

“…Perceived as a symbol of performance, the Smart City model seems to promote a digitized and automated future, promising potential improvement of urban planning and infrastructure, services, and information systems, through urban continuous and almost instantaneous flows’ prediction and monitoring, consequently influencing urban dynamics, particularly in the context of health crisis around the pandemic. …”
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Economic Benefit Analysis of Medical Tourism Industry Based on Markov Model by Wei Zhang, Zhaoxiang Qin, Jun Tang

“…The value and market size of healthcare tourism industry is analyzed and studied by using Markov model to explore the complementary roles of Medical and Tourism, which helps to predict the development of market size and benefits. …”
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Advanced Compressor Loss Correlations, Part II: Experimental Verifications by M. T. Schobeiri

“…Reliable efficiency calculation of high-subsonic and transonic compressor stages requires a detailed and accurate prediction of the flow field within these stages. Despite the tremendous progress in turbomachinery computational fluid mechanics, the compressor designer still uses different loss correlations to estimate the total pressure losses and thus the efficiency of the compressor stage. …”
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Forecasting investments in fixed assets by A. M. Terekhov

“…The theoretical aspects (foreign experience) of using various forms of predictive models based on the analysis of foreign scientific literature are considered. …”
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Synthesis and QSAR Study of Some HDL Cholesterol Increasing Quinazolinone Derivatives by M. B. Deshmukh, Savita Dhongade (Desai)

“…The synthesized compounds were subjected to a prediction of biological activities. A software application (PASS) was used for this purpose. …”
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Conversion of Monte Carlo Steps to Real Time for Grain Growth Simulation by N. Maazi

“…Monte Carlo (MC) technique is becoming a very effective simulation method for prediction and analysis of the grain growth kinetics at mesoscopic level. …”
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Special Issue in Artificial Intelligence by Dora Maria Ballesteros

“…Artificial Intelligence applications include prediction, recommendation, classification and recognition, object detection, natural language processing, autonomous systems, among others. …”
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