Generalized Propensity Score Matching with Multilevel Treatment Options by Onur Baser

“…Results are compared with multivariate regression analysis, where the generalized linear model is used with gamma family and log link function…”
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Generalized Score Comparison-Based Learning Objective for Deep Speaker Embedding by Min Hyun Han, Sung Hwan Mun, Nam Soo Kim

“…Furthermore, we propose a generalized loss function for score comparison-based learning, encompassing many conventional training losses and regularization techniques. …”
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Quantum commitments from structured one-way quantum state generators, and more by Shujiao Cao, Rui Xue

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Graph neural processes for molecules: an evaluation on docking scores and strategies to improve generalization by Miguel García-Ortegón, Srijit Seal, Carl Rasmussen, Andreas Bender, Sergio Bacallado

“…In order to increase meta-generalization to divergent test functions, we propose fine-tuning strategies that adapt the parameters of NPs. …”
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Technical Analysis of the ETCS Architecture Development by GENG Hongliang, ZHANG Chao, SUN Ye, LI Qihe, KE Changbo, LIU Zhenyu

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Evaluation of Bayesian network scoring functions in polychotomous data analysis by Xuejia Ke, Katherine Keenan, V. Anne Smith

“…Among these, the BDe scoring function requires specifying hyperparameters that influence the priors on the network parameters. …”
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Impacts of efficiency on food security status of smallholders in the Gurage Zone of Ethiopia by Gizachew Argaw, Degye Goshu, Mengistu Ketema, Abule Mehare

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PARTICULARITIES OF ELECTRIC GENERATOR FUNCTIONING AT SUPPLYING OF GREENSHOUSE by Anisimov V.K.

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Licence to Simulate: When Agent-Based Models Are More Fiction than Function by Francesco Moroni, Mosè Gallo, Giovanni Romagnoli, Francesco Zammori

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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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scATAC-seq generates more accurate and complete regulatory maps than bulk ATAC-seq by E. Ravza Gur, Jim R. Hughes

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New insights into the generation and function of megakaryocytes in health and disease by Changhong Du, Jun Chen, Junping Wang

“…Furthermore, although been well known as a component of the BM niche maintaining hematopoietic stem cells (HSCs) during homeostasis, the newly-identified properties of MKs further make them a key supporter for stressed or diseased HSCs during myeloablative injury, aging and hematopoietic malignancy. Therefore, the generation and function of MKs are more diverse than we previously thought. …”
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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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Anesthesiological management in endovascular mechanical thrombectomy: a propensity score-matched retrospective analysis in Italy by Antonio Romanelli, Aniello Iovino, Antonella Langone, Rosa Napoletano, Giulia Frauenfelder, Flora Minichino, Liliana D’Ambrosio, Miriam Caterino, Raffaele Tortora, Renato Gammaldi, Paolo Barone, Renato Saponiero, Daniele Giuseppe Romano

“…Background Endovascular mechanical thrombectomy (EMT) can be performed with general anesthesia (GA) or using non-GA techniques. …”
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Direct Conditional Score Modeling for Accelerated MRI Reconstruction by Hongki Lim

“…This paper presents a novel approach called Direct Conditional Score (DCS) modeling that directly models the conditional score function, eliminating the need for separate likelihood terms. …”
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Generating diversity and securing completeness in algorithmic retrosynthesis by Florian Mrugalla, Christopher Franz, Yannic Alber, Georg Mogk, Martín Villalba, Thomas Mrziglod, Kevin Schewior

“…In order to generate a diverse set of synthesis plans for chemists to select from, we capture the concept of diversity in a novel chemical diversity score (CDS). …”
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Smartphone overuse and distraction: which relationship with general well-being across different generations? by Diego Bellini, Maria Lidia Mascia, Rachele Conti, Maria Pietronilla Penna

“…Result Results revealed a positive correlation between MPPS and SDS scores. The younger generation showed higher mean values for MPPS and SDS, except for ON VIG. …”
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Generative Inverse Design of Metamaterials with Functional Responses by Interpretable Learning by Wei (Wayne) Chen, Rachel Sun, Doksoo Lee, Carlos M. Portela, Wei Chen

“…Unlike data‐intensive and noninterpretable deep‐learning‐based methods, this work proposes the random‐forest‐based interpretable generative inverse design (RIGID), a single‐shot inverse design method for fast generation of metamaterials with on‐demand functional behaviors. …”
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