Daily time series of 12 human thermal stress indices in Greece, aggregated at commune level (1998–2022)Zenodo by Georgios Charvalis, Michalis Koureas, Chloe Brimicombe, Chara Bogogiannidou, Fani Kalala, Varbara Mouchtouri, Christos Hadjichristodoulou

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INVESTIGATING THE RELATIONSHIPS BETWEEN ASEAN STOCK MARKETS: AN APPROACH USING THE GRANGER CAUSALITY TEST OF TIME-VARYING INFORMATION EFFICIENCY by Trần Thị Tuấn Anh

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Erratum: Non-Gaussian-state generation with time-gated photon detection [Phys. Rev. Research 5, 033156 (2023)] by Tatsuki Sonoyama, Kazuma Takahashi, Baramee Charoensombutamon, Sachiko Takasu, Kaori Hattori, Daiji Fukuda, Kosuke Fukui, Kan Takase, Warit Asavanant, Jun-ichi Yoshikawa, Mamoru Endo, Akira Furusawa

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Contribution of Short-Time Occlusion of the Amblyopic Eye to a Passive Dichoptic Video Treatment for Amblyopia beyond the Critical Period by Lauren Sauvan, Natacha Stolowy, Danièle Denis, Frédéric Matonti, Frédéric Chavane, Robert F. Hess, Alexandre Reynaud

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A New Fuzzy Logic-Based Similarity Measure Applied to Large Gap Imputation for Uncorrelated Multivariate Time Series by Thi-Thu-Hong Phan, André Bigand, Émilie Poisson Caillault

“…Therefore, this paper aims to introduce a new approach for filling successive missing values in low/uncorrelated multivariate time series which allows managing a high level of uncertainty. …”
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What Is the Most Cost-Effective Breeding Program for Dairy Heifers—Timed AI, Estrous Detection, or a Combination of Both? by Klibs N. Galvão, Eduardo S. Ribeiro, Jose Eduardo P. Santos

“…VM199/VM199: What Is the Most Cost-Effective Breeding Program for Breeding Heifers—Timed AI, Estrous Detection, or a Combination of Both? …”
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Two-warehouse deterministic inventory model of expiry date known deteriorating items with just-in-time purchases for slotted backlogs by R. Thilagavathi, J. Viswanath, Miroslav Mahdal, Jayavelu Udaya Prakash, Sachin Salunkhe, Sachin Salunkhe

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An Attention Encoder-Decoder Dual Graph Convolutional Network with Time Series Correlation for Multi-Step Traffic Flow Prediction by Shanchun Zhao, Xu Li

“…Due to the complex and nonlinear nature of traffic flow time series, traditional methods of prediction tasks tend to ignore the heterogeneity and long series dependencies of spatio-temporal data. …”
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Indirect impacts of the COVID-19 pandemic at two tertiary neonatal units in Zimbabwe and Malawi: an interrupted time series analysis by Michelle Heys, Caroline Crehan, Emma Wilson, Felicity Fitzgerald, Mario Cortina Borja, Msandeni Chiume, Samuel R Neal, Hannah Gannon, Gwen Chimhini, Simbarashe Chimhuya, Tim Hull-Bailey, Tarisai Chiyaka, Deliwe Nkhoma

“…Objectives To examine indirect impacts of the COVID-19 pandemic on neonatal care in low-income and middle-income countries.Design Interrupted time series analysis.Setting Two tertiary neonatal units in Harare, Zimbabwe and Lilongwe, Malawi.Participants We included a total of 6800 neonates who were admitted to either neonatal unit from 1 June 2019 to 25 September 2020 (Zimbabwe: 3450; Malawi: 3350). …”
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Did the COVID-19 quarantine policies applied in Cochabamba, Bolivia mitigated cases successfully? an interrupted time series analysis by Rodrigo K. Arce Cardozo, Osvaldo Fonseca-Rodríguez, Yercin Mamani Ortiz, Miguel San Sebastian, Frida Jonsson

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Burning Rate Enhancement Analysis of End-Burning Solid Propellant Grains Based on X-Ray Real-Time Radiography by Wei Xianggeng, Bo Tao, Wang Pengbo, Ma Xinjian, Lou Yongchun, Chen Jian

“…Through image processing, the real-time burning rate of grain center line and the real-time cone angle are obtained. …”
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Performance Analysis of Costs and Implementation Time Using Earned Value Method on the Distribution Pipe Network Expansion in Samarinda City by Dedy Sugi Hartawan, Wateno Oetomo, Risma Marleno

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Bifurcation from Interval and Positive Solutions of a Nonlinear Second-Order Dynamic Boundary Value Problem on Time Scales by Hua Luo

“…Let 𝕋 be a time scale with 0,T∈𝕋. We give a global description of the branches of positive solutions to the nonlinear boundary value problem of second-order dynamic equation on a time scale 𝕋, uΔΔ(t)+f(t,uσ(t))=0,  t∈[0,T]𝕋,  u(0)=u(σ2(T))=0, which is not necessarily linearizable. …”
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Enhancing reading achievement through a timed reading approach: A quasi-experimental study in the Saudi EFL context by Abduljalil Hazaea

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Real-time non-destructive characterization of epoxy resin curing kinetics and mechanical response for enhanced manufacturing quality control by Gonzalo Seisdedos, Edgar Viamontes, Eduardo Salazar, Cristian Pantea, Eric S. Davis, Tommy Rockward, Benjamin Boesl

“…This work presents a method to non-destructively evaluate the curing kinetics and viscoelastic properties of epoxy resin in real time due to variations in stoichiometry combining ultrasonics and Fourier Transform Infrared Spectroscopy. …”
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Hybrid GNSS time-series prediction method based on ensemble empirical mode decomposition with long short-term memory by Yu Zhou, Xiaoxing He, Shengdao Wang, Shunqiang Hu, Xiwen Sun, Jiahui Huang

Subjects: “…GNSS height time series…”
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Tackling ALT-positive neuroblastoma: is it time to redefine risk classification systems? A systematic review with IPD meta-analysis by Marta Avinent-Pérez, Frank Westermann, Samuel Navarro, Amparo López-Carrasco, Rosa Noguera

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Changes in Serum TSH and T4 Levels after Switching the Levothyroxine Administration Time from before Breakfast to before Dinner by S. Ala, O. Akha, Z. Kashi, A. Bahar, H. Askari Rad, N. Sasanpour, A. Shiva

“…The aim of this study was evaluating the effect of changing levothyroxine administration time from before breakfast to before dinner on the serum levels of TSH and T4. …”
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The Incidence of Mental Disorders Increases over Time in Patients with Cancer Pain: Data from a Retrospective Cohort Study by Michael Brinkers, Giselher Pfau, Anne-Marie Toepffer, Frank Meyer, Moritz A. Kretzschmar

“…For urogenital cancer, an increase in the probability to develop mental disorders is a function of time.…”
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Comparative analysis of neural network models performance on low-power devices for a real-time object detection task by A. Zagitov, E. Chebotareva, A. Toschev, E. Magid

“…A computer vision based real-time object detection on low-power devices is economically attractive, yet a technically challenging task. …”
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