Temporal Dynamics and Long-Term Trends in Aerosol Optical Properties over Two Sites of Indo Gangetic Plains (IGP): Insights from AERONET Observations by Sahil Wadhwa, Abul Amir Khan, Amrit Kumar, Prakhar Jindal

“…This study presents the longest time series of aerosol optical properties and Precipitable Water Vapor (PW) from two AERONET sites in the Indo-Gangetic Plains (IGP). …”
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Burr to Bone Time for Joint Preparation in Minimally Invasive Foot and Ankle Fusion Surgeries: A Cadaver Study by Maksat Idris MS, BS, Ettore Vulcano MD, Bonnie Y. Chien MD

“…Although there remains variability in types of burrs used, joint sizes and individual experience with the instruments, the timing of joint preparation can be an objective reference for surgeons to effectively and safely perform minimally invasive techniques. …”
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Heterogeneous anti-synchronization of stochastic complex dynamical networks involving uncertain dynamics: an approach of the space-time discretizations by Huan Luo

“…The modeling of discrete space-time stochastic heterogeneous complex networks with unknown factors was achieved through the utilization of differencing techniques with respect to the time and space variables of the nodes' states. …”
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Cluster Analysis of RF-EMF Exposure to Detect Time Patterns in Urban Environment: A Model-Based Approach by Nicola Pasquino, Nunzia Solmonte, Nikola Djuric, Dragan Kljajic, Snezana Djuric

“…Advanced techniques for data analysis, based on machine learning like clustering, can decompose daily variations in EMF exposure into distinct patterns, providing a clearer understanding of how exposure fluctuates over time. Although several exposure monitoring systems exist in Europe, only a few studies have thoroughly examined the time variability. …”
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Diagnostic value of electrocardiographic markers of left bundle branch block in predicting left ventricular reverse remodeling in patients receiving cardiac resynchronization thera... by L. M. Malishevsky, V. A. Kuznetsov, V. V. Todosiychuk, N. E. Shirokov, D. S. Lebedev

“…Once the cut-off point was determined, a binary variable was obtained that showed higher sensitivity, negative predictive value, and overall accuracy when compared with the actual LBBB criteria. …”
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Time-Series Interval Forecasting with Dual-Output Monte Carlo Dropout: A Case Study on Durian Exports by Unyamanee Kummaraka, Patchanok Srisuradetchai

“…Deep neural networks (DNNs) are prominent in predictive analytics for accurately forecasting target variables. However, inherent uncertainties necessitate constructing prediction intervals for reliability. …”
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Evaluation of Vegetation Bias in InSAR Time Series for Agricultural Areas Within the San Joaquin Valley, CA by Kelly R. Devlin, Rowena B. Lohman

“…Using independent information about land cover and crop type, we isolate the effects of individual crops on backscatter amplitude, interferometric phase change, and interferometric coherence over space and time. We determine the temporal behavior of the phase changes associated with several key crop types by isolating the difference between the phase of pixels averaged over each agricultural field and the phase values of pixels in nearby roads and developed areas. …”
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Impact of three sequential orthogeriatric care models on time to surgery after hip fracture: a retrospective study by Sabine Drevet, Jérôme Tonetti, Pierre Bouzat, Mehdi Boudissa, Jules Greze, Olga Fajfrova, Laure Allan-Pattoglia, Frederic Olive, Magali Bouisse, Bastien Boussat, Catherine Bioteau, Gaetan Gavazzi

“…The primary endpoint was the TTS assessed by the time elapsed from the emergency department admission to surgery start time in older patients with hip fracture (75 ≤ years old). …”
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Tissue ischemia time affects gene and protein expression patterns within minutes following surgical tumor excision by Annika Spruessel, Garnet Steimann, Mira Jung, Sung A. Lee, Theresa Carr, Anne-Kristin Fentz, Joerg Spangenberg, Carsten Zornig, Hartmut H. Juhl, Kerstin A. David

“…In conclusion, preanalytical factors, such as tissue ischemia time, dramatically affect molecular data. Control of these variables is mandatory to obtain reliable data in screening programs for molecular targets and diagnostic molecular patterns.…”
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A Deep Learning Method for Photovoltaic Power Generation Forecasting Based on a Time-Series Dense Encoder by Xingfa Zi, Feiyi Liu, Mingyang Liu, Yang Wang

“…TiDE compresses historical time series and covariates into latent representations via residual connections and reconstructs future values through a temporal decoder, capturing both long- and short-term dependencies. …”
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Analysis of time series characteristics using machine learning model and correlation matrix in the tasks of forecasting the state of forest ecosystems by Gusev Pavel, Tavolzhanskij Alexander, Zolnikov Vladimir, Deniskina Antonina

“…Then linear regression models are trained and the quality of predictions for different sets of variables from the sorted list is compared. Next, a comparison is made for different values of sampling time to determine the optimal value for each variable. …”
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FORECASTING THE GROUNDWATER LEVEL OF CEMENT RAW MATERIALS DEPOSIT BASED ON DYNAMIC NEIGHBORHOOD MODELS by I. A. Sedykh

“…The definition of a dynamic neighborhood model with variable hierarchical neighborhoods is given, differing by time-varying double-level neighborhood communications between the first- and second-level nodes. …”
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Is the heart rate variability monitoring using the analgesia nociception index a predictor of illness severity and mortality in critically ill patients with COVID-19? A pilot study... by Cristian Aragón-Benedí, Pablo Oliver-Forniés, Felice Galluccio, Ece Yamak Altinpulluk, Tolga Ergonenc, Abdallah El Sayed Allam, Carlos Salazar, Mario Fajardo-Pérez

“…In the case of Energy, a limit value of 0.41 ms predicted mortality with all predictive values of 71.4%.…”
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Investigating The Performance Of Local And Indigenous Businesses In Times Of Economic Recession With Emphasis On Developing The Capabilities Of Cooperatives In Sistan And Baluchest... by Ali Asghar Tabavar, Abdoulnaser Derakhshan, Sahar Arefi

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Activation mechanism and characteristics caused by normal fault damage under mining disturbance by Taiyong CHEN, Guolei LIU, Xiaoxiao CHANG, Yancheng WU, Qiufeng MA, Xiqing HAO, Chengbo ZHAO

“…When the fault damage variable reaches the critical value, the fault has the condition to activate; under the influence of working face mining, the development of fault damage variable is earlier than the increase of abutment pressure of coal body. …”
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Water quality in the macro-tidal Kampar estuary, Indonesia: Real-time measurement during significant tidal bore passages

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Nocturnal pulse oxygen saturation dynamics at simulated high altitude: Predictive value for acute mountain sickness in healthy men born pre‐term by Benjamin J. Narang, Giorgio Manferdelli, Grégoire P. Millet, Tadej Debevec

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The Role of Capital Structure as a Mediator of Profitability, Company Size, and Business Risk on Company Value (Study on Exporters Listed on the Indonesia Stock Exchange 2019-2023) by Titi Indah Susilowati, Wisnu Mawardi

“…This study aims to determine the role of capital structure on profitability, company size, business risk on firm value with capital structure as an intervening variable in companies listed on the Indonesia Stock Exchange (IDX). …”
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Correlation between Sputum Cartridge-based Nucleic Acid Amplification Test–Cycle Threshold Values and Glycosylated Hemoglobin Levels in Patients with Pulmonary Tuberculosis by Chirag K C, Shashibhushan B L, Mohan J, Karthik A B

“…The Pearson correlation coefficient is −0.426, indicating a moderate negative correlation between the two variables. Conclusion: This study found a moderate negative correlation between sputum CBNAAT Ct values and HbA1c levels in patients with pulmonary TB. …”
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Exploring the value of blood urea nitrogen-to-albumin ratio in patients with acute pancreatitis admitted to the intensive care unit: a retrospective cohort study by Jianjun Wang, Jianjun Wang, Han Li, Pei Yang, Xi Chen, Sirui Chen, Lan Deng, Xintao Zeng, Huiwen Luo, Dongqing Zhang, Xianfu Cai, Hua Luo, Decai Wang, Decai Wang

“…Subgroup analyses revealed no significant interaction between BAR and the vast majority of subgroups.ConclusionThis study revealed, for the first time, the unique prognostic value of BAR in ICU-managed AP patients. …”
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