Technical Analysis of the ETCS Architecture Development by GENG Hongliang, ZHANG Chao, SUN Ye, LI Qihe, KE Changbo, LIU Zhenyu

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On Systems of Neural ODEs with Generalized Power Activation Functions by Vasiliy Ye. Belozyorov, Yevhen V. Koshel

“…In this article, we explore the use of specially-designed unbounded differentiable generalized power activation function, the identity function, and their combinations for approximating univariate time series data with neural ordinary differential equations. …”
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Approximation of the Generalized Lame Equations by the Strain Energy Functional by Tatyana Maltseva, Yury Klochkov, Tatyana Saltanova, Alexander Shusharin

“…The maximum discrepancy was no more than 26%.…”
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Development of a Core Outcomes Set for Peripheral Nerve Injury by Christopher J. Dy, MD, MPH, Alison L. Antes, PhD, Heather L. Baltzer, MD, Harvey Chim, MD, Jana Dengler, MD, Lisa Gfrerer, MD, Scott H. Kozin, MD, Yusha Katie Liu, MD, Christine B. Novak, DPT, Hollie A. Power, MD, Nicholas Pulos, MD, Jeffrey G. Stepan, MD MSc, Christopher J. Dy, MD, MPH (Principal Investigator), Heather Baltzer, MD, David M. Brogan, MD, MSc, Harvey Chim, MD, Jana Dengler, MD, Kyle R. Eberlin, MD, Paige M. Fox, MD, PhD, Lisa Gfrerer, MD, Scott H. Kozin, MD, Steve K. Lee, MD, Fraser Leversedge, MD, Amy M. Moore, MD, Christine B. Novak, PhD, Scott Tintle, MD, Sami Tuffaha, MD, Nicholas Pulos, MD, Jeffrey G. Stepan, MD, Y. Katie Liu, MD, Alexander Y. Shin, MD

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Several Turán-Type Inequalities for the Generalized Mittag-Leffler Function by Xiang Kai Dou, Li Yin, Xiu-Li Lin

“…In this paper, several Turán-type inequalities for the more generalized Mittag-Leffler function are proved. …”
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DySCo: A general framework for dynamic functional connectivity. by Giuseppe de Alteriis, Oliver Sherwood, Alessandro Ciaramella, Robert Leech, Joana Cabral, Federico E Turkheimer, Paul Expert

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Gotta Go Fast: A Generalization of the Escape Speed to Fluid-dynamical Explosions and Implications for Astrophysical Transients by Daniel A. Paradiso, Eric R. Coughlin

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A New hybrid generalized CG- method for non-linear functions by Abbas Al-Bayati, Hamsa Chilmerane

“…This method is more efficient and robust when applied on number of well-known nonlinear test function.…”
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Profile of Pattern Generalization Strategies in Functional Thinking of Middle School Students by Anita Adinda, Ammi Thoibah Nst, Sarah Auliyah Nst

“…The profile of SGP in functional thinking of secondary school students in this study is a differentiator in revealing students' pattern generalization strategies in functional thinking in more detail. …”
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The Effect of Fundamental Training on General and Specific Functional Movements in Female Students by leili mahdieh, vahid zolaktaf, Mohammad taghi Karimi

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On Generalized Overlap and Grouping Indices in n-Dimensional Contexts by Tiago Asmus, Graçaliz Dimuro, Giancarlo Lucca, Cedric Marco-Detchart, Helida Santos, Heloisa Camargo, Humberto Bustince

“…Many studies have generalized the concepts of overlap and grouping functions to be applied in n-dimensional problems. …”
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Campaigning on the Internet: 2008 Presidential General Election Candidate Webpage by William L. Benoit, Mark Glant, Leslie Rill

“…Policy (82%) was addressed more than character (18%). When discussing policy, these candidates addressed future plans most frequently, followed by general goals and then past deeds; on character, candidates discussed ideals, then personal qualities, and then leadership ability. …”
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Group Forward–Backward Orthogonal Matching Pursuit for General Convex Smooth Functions by Zhongxing Peng, Gengzhong Zheng, Wei Huang

“…This paper introduces the Group Forward–Backward Orthogonal Matching Pursuit (Group-FoBa-OMP) algorithm, a novel approach for sparse feature selection. The core innovations of this algorithm include (1) an integrated backward elimination process to correct earlier misidentified groups; (2) a versatile convex smooth model that generalizes previous research; (3) the strategic use of gradient information to expedite the group selection phase; and (4) a theoretical validation of its performance in terms of support set recovery, variable estimation accuracy, and objective function optimization. …”
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Semi-precontinuous functions and properties of generalized semi-preclosed sets in topological spaces by G. B. Navalagi

“…More recently, Cueva (2000) has defined the concepts like approximately irresolute, approximately semi-closed, contra-irresolute, contra-semiclosed, and perfectly contra-irresolute mappings using semi-generalized closed (sg-closed) sets and semi-generalized open (sg-open) sets due to Bhattacharyya and Lahiri (1987) in topology. …”
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Generalizing Robust Control Barrier Functions From a Controller Design Perspective by Anil Alan, Tamas G. Molnar, Aaron D. Ames, Gabor Orosz

“…Main results are conditions for robust safety through generalized RCBFs. We apply these generalized principles for more specific design examples: a worst-case type design, an estimation-based design, and a tunable version of the latter. …”
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Energy spectra of odd nuclei in the generalized model by I. O. Korzh, A. D. Foursat

“…Based on the generalized nuclear model, energy spectra of the odd nuclei of such elements as 25Mg, 41K, and 65Cu are determined, and the structure of wave functions of these nuclei in the excited and normal states is studied. …”
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Bayesian generalized dissimilarity model for marine biodiversity analysis by Evellin Dewi Lusiana, Suci Astutik, Nurjannah, Abu Bakar Sambah

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From Model to Bedside: What Kind of OSA Risk Prediction Tools Do We Need More Of? [Response to Letter] by Guo B

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Muscle Mass Index Decline as a Predictor of Lung Function Reduction in the General Population by Joon Young Choi, Chin Kook Rhee, Sang Hyuk Kim, Yong Suk Jo

“…The relationship between muscle mass index (MMI) changes and lung function in the general population remains unclear, especially as muscle mass fluctuates with aging. …”
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Mean Square Integral Inequalities for Generalized Convex Stochastic Processes via Beta Function by Putian Yang, Shiqing Zhang

“…The involvement of the beta function in the results makes the inequalities more convenient for applied sciences.…”
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