An Algorithm for Restoring a Function from Different Functionals for Predicting Rare Events in the Economy by Yu. A. Korablev

“…Formulas for calculating the cross-validation score CV (α) for the automatic procedure for determining the smoothing parameter α from the data in our problem of recovering a function by many functionals are shown. The paper concludes that the presented method makes it possible to analyze and predict rare events, which will allow you to prepare for such future events, get some benefit from this, or reduce possible risks or losses.…”
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A multimodal model for protein function prediction by Yu Mao, WenHui Xu, Yue Shun, LongXin Chai, Lei Xue, Yong Yang, Mei Li

Subjects: “…Protein function prediction…”
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Predicting contrast sensitivity functions with digital twins by Yukai Zhao, Luis Andres Lesmes, Michael Dorr, Zhong-Lin Lu

Subjects: “…Contrast sensitivity function…”
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Functional Data Analysis for Prediction of Employee Presence by Nouhaila Goujili, Matthieu Saumard, Nicolas Cochard, Maher Jridi

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Handgrip Strength, Depression, Dementia, Cognitive Function, and Their Predictive Effect on Functional Independence in Older Adults by Juan Antonio Campos-Gutiérrez, Enrique Diaz De León-González, Hugo Gutiérrez Hermosillo, Ricardo M. Cerda, Georgina Mayela Núñez Rocha, Jorge Zamarripa, Ricardo López-García, Guillermo Cano-Verdugo, Rocío Martínez-Hernández

“…The general objective of this study was to determine the predictive effect of left and right handgrip strength, depression, mild to moderate dementia, and cognitive function on functional independence in older adults. …”
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Gene Function Prediction from Functional Association Networks Using Kernel Partial Least Squares Regression. by Sonja Lehtinen, Jon Lees, Jürg Bähler, John Shawe-Taylor, Christine Orengo

“…Several methods of predicting gene function from these networks have been proposed. …”
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Variability of functional and biodiversity responses to perturbations is predictable and informative by James A. Orr, Jeremy J. Piggott, Andrew L. Jackson, Michelle C. Jackson, Jean-François Arnoldi

“…This leads to an overwhelming response variability, which undermines hopes of prediction. Here, we show that this variability can instead provide insights into hidden features of functions and of species responses to perturbations. …”
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Prediction of Kidney Function Improvement After Heart Transplantation by Jakub Ptak, Mateusz Sokolski, Mateusz Wilk, Mateusz Waloszczyk, Kacper Wiśniewski, Dominik Krupka, Paulina Makowska, Magdalena Cielecka, Maciej Szwajkowski, Mateusz Rakowski, Maciej Bochenek, Roman Przybylski, Michał Zakliczyński

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The interplay between executive functions and updating predictive representations by Felipe Pedraza, Teodóra Vékony, Bence C. Farkas, Frederic Haesebaert, Romane Phelipon, Imola Mihalecz, Karolina Janacsek, Barbara Tillmann, Royce Anders, Gaën Plancher, Dezso Nemeth

“…A key mechanism is statistical learning, the continuous, implicit extraction of probabilistic patterns from the environment, which forms the basis of predictive processing. However, the interplay between executive functions (EF) and the rewiring – or updating – of these probabilistic representations remains largely unexplored. …”
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Predicting functional recovery after acute ankle sprain. by Sean R O'Connor, Chris M Bleakley, Mark A Tully, Suzanne M McDonough

“…Recovery was determined from measures of subjective ankle function at short (4 weeks) and medium term (4 months) follow ups. …”
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Prediction of protein interactions with function in protein (de-)phosphorylation. by Aimilia-Christina Vagiona, Sofia Notopoulou, Zbyněk Zdráhal, Mariane Gonçalves-Kulik, Spyros Petrakis, Miguel A Andrade-Navarro

“…Here we explore whether this mapping contains information that would allow us to predict the function of PPIs, more specifically interactions related to post-translational modification (PTM). …”
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Molecular Mechanisms and Function Prediction of Long Noncoding RNA by Handong Ma, Yun Hao, Xinran Dong, Qingtian Gong, Jingqi Chen, Jifeng Zhang, Weidong Tian

“…Therefore, it is necessary to develop computational methods to predict the function of lncRNAs in order to accelerate the study of lncRNAs. …”
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PREDICTION BACKUP TESTICULAR FUNCTION IN PATIENTS WITH NONOBSTRUCTIVE AZOOSPERMIA by N. G. Kul’chenko, A. A. Kostin, Yu. V. Samsonov, G. A. Demyashkin, D. V. Moskvichev

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Predicting Sexual Function Based on Love Styles and Maladaptive by Arezou Parvizi, Sareh Behzadipour

“…Objective: This study aimed to predict sexual function based on the love styles and maladaptive schemas among pregnant women. …”
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ANALYSIS OF PREDICTION METHODS FOR THE FUNCTIONAL DURABILITY OF ROAD MARKINGS by V. V. Golubenko, A. A. Aleksandrov, V. V. Sirotyuk

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Robust Predictive Functional Control for Quadrotor Flight Systems by Kai Masuda, Kenji Uchiyama

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Prediction of Wafer Performance: Use of Functional Outlier Detection and Regression by Kyusoon Kim, Seunghee Oh, Kiwook Bae, Hee-Seok Oh

“…To exploit the consecutive nature of OES data, we propose a prediction method based on a functional approach using multivariate functional partial least squares regression, coupled with dimension reduction and a novel outlier detection technique via functional independent component analysis. …”
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Safety Performance Functions for Low-Volume Roads by Gianluca Dell’Acqua, Francesca Russo

“…A residuals analysis was subsequently developed to assess the adjusted coefficient of determination and p-value for each assessable coefficient of the prediction model. CPMs are a useful tool for estimating the expected number of crashes occurring within the roads’ geometric components (intersections and road sections) as a function of infrastructural, environmental, and roadway features. …”
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Evaluating the effects of volume censoring on fetal functional connectivity by Jung-Hoon Kim, Josepheen De Asis-Cruz, Kevin M. Cook, Catherine Limperopoulos

“…Abstract Advances in neuroimaging have enabled non-invasive investigation of fetal brain development in vivo. Resting-state functional magnetic resonance imaging (rs-fMRI) has provided critical insights into emerging brain networks in fetuses. …”
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Tracing the function expansion for a primordial protein fold in the era of fold-based function prediction: β-trefoil by Moushmi Goswami, Subhashini Srinivasan

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