The Heavy‐Tailed Inverse Power Lindley Type‐I Model: Reliability Inference and Actuarial Applications by Amal S. Hassan, Diaa S. Metwally, Mohammed Elgarhy, Rokaya Elmorsy Mohamed

“…Bayesian estimators for the parameters and reliability functions (survival and hazard rate) are derived using gamma priors and both symmetric and asymmetric loss functions. …”
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Providing context: Extracting non-linear and dynamic temporal motifs from brain activity. by Eloy Geenjaar, Donghyun Kim, Vince Calhoun

“…Interestingly, patients appear to spend more time in three clusters, one closer to controls which shows increased visual-sensorimotor, cerebellar-subcortical, and reduced cerebellar-visual functional network connectivity (FNC), an intermediate station showing increased subcortical-sensorimotor FNC, and one that shows decreased visual-sensorimotor, decreased subcortical-sensorimotor, and increased visual-subcortical domains. …”
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THE FIGHT AGAINST FRAUD IN THE EUROPEAN UNION by Mihaela Iuliana DUMITRU, Diana Elena BRINZA

“…The totality of these actions is more and more extensive, given that the access to the Community financial support is currently facilitated, as a result of the particular conditions generated by the pandemic. …”
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Patients’ perceptions on non‐specific effects of acupuncture: Qualitative comparison between responders and non‐responders by Robin S.T. Ho, Fai Fai Ho, Jon Adams, Holger Cramer, Brenda Leung, Lesley Ward, Yan Zhang, Vincent C.H. Chung

“…Background: Non-specific effect of acupuncture constitutes part of the overall effect generated via clinical encounter beyond needle insertion and stimulation. …”
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Comparative evaluation of artificial intelligence models GPT-4 and GPT-3.5 in clinical decision-making in sports surgery and physiotherapy: a cross-sectional study by Sönmez Saglam, Veysel Uludag, Zekeriya Okan Karaduman, Mehmet Arıcan, Mücahid Osman Yücel, Raşit Emin Dalaslan

“…Paired t-test results (t(55) = 10.45, p < 0.001) demonstrated that GPT-4 provided more accurate diagnoses, superior treatment plans, and more detailed surgical recommendations. …”
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Simultaneous Method for Solving Certain Systems of Matrix Equations with Two Unknowns by Predrag S. Stanimirović, Miroslav Ćirić, Spyridon D. Mourtas, Gradimir V. Milovanović, Milena J. Petrović

“…Numerical simulations are performed for various random initial states and comparison with the <i>Matlab</i>, linear programming solver linprog, and the pseudoinverse solution generated by the standard function pinv is given.…”
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Root‐Zone Water‐Storage Capacity and Uncertainty: An Intrinsic Factor Affecting Agroecosystem Resilience to Drought by Nunzio Romano, Caterina Mazzitelli, Paolo Nasta

“…Abstract Mapping ecosystem function indicators helps identify areas susceptible to drought, heat stress, and reduced agricultural production. …”
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Estimating total species richness: Fitting rarefaction by asymptotic approximation by Yi Zou, Peng Zhao, Jan Christoph Axmacher

“…The function also enables users to visualize the estimation. …”
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Utilizing small molecules to probe and harness the proteome by pooled protein tagging with ligandable domains by Katherine E. Larrimore, Yevgeniy V. Serebrenik

“…These libraries unlock opportunities to explore the proteome with a versatile toolbox of small molecule probes designed to interact with the fused tags, allowing researchers to visualize protein localization, induce protein misfolding, manipulate protein-protein interactions, modulate protein stability, and more in a scalable, systematic manner. This review explores recent studies employing multifunctional domains at proteome scale, delving into how the associated chemical probes have been employed to enable insights into endogenous protein function, cellular processes, and disease mechanisms. …”
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Seeking Optimal Region-Of-Interest (ROI) Single-Value Summary Measures for fMRI Studies in Imaging Genetics. by Yunxia Tong, Qiang Chen, Thomas E Nichols, Roberta Rasetti, Joseph H Callicott, Karen F Berman, Daniel R Weinberger, Venkata S Mattay

“…Our results show that four of these measures, particularly those that represent values from the top most-activated voxels within an ROI are more powerful at reliably detecting group differences and generating greater effect sizes than the others.…”
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Structural strength analysis and optimization of converter lug based on Kriging model by HE Guanqiang, LIU Yongjiang, LI Hua, CHEN Liming

“…For typical rail transit converters, each static strength analysis with four working conditions costs at least 1 hour, and each random vibration analysis with one axis costs more than 8 hours. As a result, for using traditional engineering optimization methods to optimize the converter structure, the optimization efficiency will be severely limited, since these methods need to invoke a large amount of simulations as function evaluations. …”
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Long-Term Management and Monitoring of the Bladder After Spinal Cord Injury in a Rodent Model by Michael Kleindorfer, Elena Esra Keller, Karin Roider, Evelyn Beyerer, Patrick Heimel, David Hercher, Martha Georgina Brandtner, Lukas Lusuardi, Ludwig Aigner, Sophina Bauer

“…To our knowledge, this is the first study that obtained a clinically relevant urodynamic dataset seamlessly from the acute to the chronic phase in rats with SCI. The ability to generate a complete data set from one single individual, rather than requiring multiple subjects, has the potential to markedly reduce the number of experimental animals, eliminate group differences, and give more flexibility for therapeutic intervention. …”
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An overview of the synthesis of coumarins via Knoevenagel condensation and their biological properties by Idriss Tchoffo Tchoupou, Melody H. Manyeruke, Sodeeq A. Salami, Charles I. Ezekiel, Pantaleon Ambassa, Jacqueline V. Tembu, Rui W.M. Krause, Bathelemy Ngameni, Xavier Siwe Noundou

“…Their structural properties significantly impact their biological function and potential applications. Furthermore, many coumarin synthesis procedures are always associated with toxic and corrosive catalysts, longer reaction time, poor yield, and low purity. …”
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Unités Paysagères et services écosystémiques, l’exemple des récifs coralliens by Gilbert David, Émilie Mirault, Gwenaëlle Pennober, Christophe Révillion

“…Thus the reef is not only a natural capital but also a landscape composed of associated resources spaces generating specific ecosystem services. But the finance orientated trend for valuing the environment makes more and more weak this cross cutting view and drives to a deadlock. …”
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The Role of Inflammation in Diabetes: Current Concepts and Future Perspectives by Sotirios Tsalamandris, Alexios S Antonopoulos, Evangelos Oikonomou, George-Aggelos Papamikroulis, Georgia Vogiatzi, Spyridon Papaioannou, Spyros Deftereos, Dimitris Tousoulis

“…The role of obesity, adipose tissue, gut microbiota and pancreatic beta cell function in diabetes are under intensive scrutiny with several clinical trials to have been completed while more are in development. …”
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Alternative splicing in the RBMXL1 5′-UTR induces uORF-mediated translation control in activated B lymphocytes by Sylvain de Breyne, Hélène Polvèche, Didier Auboeuf, Théophile Ohlmann, Henri Gruffat, Evelyne Manet

“…In addition to RBMX, there exist several RBMX-like genes (RBMXLs) that have been generated by retrotransposition of RBMX. Among these, RBMXL1 encodes a protein that is more than 95% identical to RBMX and may therefore fulfil similar functions. …”
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Multiscale Modeling of Meandering Fluvial Reservoir Architecture Based on Multiple-Point Geostatistics: A Case Study of the Minghuazhen Formation, Yangerzhuang Oilfield, Bohai Bay... by Jia Li, Chengyan Lin, Xianguo Zhang, Chunmei Dong, Yannan Wei, Wenyan Ning, Changcheng Han, Wei Guo

“…Moreover, the permeability function sets are more suitable than the porosity model for collaboratively simulating the permeability model. …”
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Sampled-data control through model-free reinforcement learning with effective experience replay by Bo Xiao, H.K. Lam, Xiaojie Su, Ziwei Wang, Frank P.-W. Lo, Shihong Chen, Eric Yeatman

“…Given that the continuous states of the plant will be the input of the agent, the state–action value function is approximated by the fully connected feed-forward neural networks (FCFFNN). …”
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A machine-learning approach for predicting butyrate production by microbial consortia using metabolic network information by Claudia Silva-Andrade, Sergio Hernández, Pedro Saa, Ernesto Perez-Rueda, Daniel Garrido, Alberto J. Martin

“…Despite its importance, there is a lack of computational methods capable of predicting its production as a function of the consortium composition. Here, we present a novel machine-learning approach leveraging automatically generated genome-scale metabolic models to tackle this limitation. …”
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Modal Shift in Public Transport Under Fiscal-Based Policies Scenarios for Jakarta by Alfa Adib Ash Shiddiqi, Dwita Sutjiningsih, Tri Tjahjono, Linda Darmajanti, Gede B. Suprayoga

“…A stated preference survey was conducted, and a binomial logit model and standard utility function were developed for analysis. Diagrams showing commuters' willingness to shift to public transport were then generated from the analysis. …”
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