Automated interpretation of deep learning-based water quality assessment system for enhanced environmental management decisions by Javed Mallick, Saeed Alqadhi, Majed Alsubih, Mohamed Fatahalla Mohamed Ahmed, Hazem Ghassan Abdo

“…In this study, the entropy weight-based DWQI averaged 77.90 with a high standard deviation (std) of 39.08, reflecting considerable variability. …”
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A novel fusion of Sentinel-1 and Sentinel-2 with climate data for crop phenology estimation using Machine Learning by Shahab Aldin Shojaeezadeh, Abdelrazek Elnashar, Tobias Karl David Weber

“…At national scale, predicted phenology resulted in a reasonable precision of R2 > 0.43 and a low Mean Absolute Error of 6 days, averaged over all phenological stages and crops. The spatio-temporal analysis of the model predictions demonstrates its transferability across different spatial and temporal context of Germany. …”
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Long-Term Annual Changes in Agricultural Carbon Footprints and Associated Driving Factors in China from 2000 to 2020 by Xingyuan Xiao, Xuanming Hu, Yaqun Liu, Changhe Lu

“…The results showed that the total (TCF) and farmland-averaged carbon footprint (FCF) of crop production both increased first and then decreased in China from 2000 to 2020, with a turning point in 2015. …”
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Study on free oscillations of a micromechanical gyroscope taking into account the nonorthogonality of the torsion axes by M. R. Saypulaev, I. V. Merkuryev, A. V. Solovyev, A. N. Tarasov

“…The analysis has confirmed the adequacy of the constructed mathematical model. …”
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The cost of implementing and sustaining an evidence-based, behavioral-health electronic screening system in probation departments by Techna Cadet, Katherine S. Elkington, Margaret Ryan, Ali Jalali, Gail A. Wasserman, Faye S. Taxman, Michael L. Dennis, Sean M. Murphy

“…Methods Prospective micro-costing analysis conducted concurrently with a rigorous evaluation of e-Connect. …”
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Neurocognitive function in HIV infected patients on antiretroviral therapy. by Alan Winston, Alejandro Arenas-Pinto, Wolfgang Stöhr, Martin Fisher, Chloe M Orkin, Kazeem Aderogba, Andrew De Burgh-Thomas, Nigel O'Farrell, Charles Jn Lacey, Clifford Leen, David Dunn, Nicholas I Paton, PIVOT Trial Team

“…In the multivariate analysis, only Black ethnicity was associated with poorer NPZ-5 scores (P<0.001).…”
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Numerical study of the effect of stenosis on the hemodynamics of a popliteal artery by Liuliu Shi, Xinru Xiang, Jinlong Liu, Wei Zhu

“…In particular, a 12% disparity in velocities is observed between the two models, indicating that the non-Newtonian model is better suited for comprehensive hemodynamic analysis in simulations involving stenotic popliteal arteries. …”
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How does turbulence affect wake development in floating wind turbines? Some insights from comparative large-eddy simulations and wind tunnel experiments by L. Pagamonci, F. Papi, G. Cojocaru, M. Belloli, A. Bianchini

“…The present study presents a critical analysis aimed at quantifying to what extent turbulence characteristics affect the wake structures of a floating turbine undergoing large motions. …”
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X-ray emission from hot gas and XRBs in the NGC 5846 galaxy by Kyadampure Anil, Vagshette Nilkanth, Patil Madhav

“…This article presents X-ray emission characteristics of the brightest member of a G50 galaxy group NGC 5846 based on analysis of high resolution of 30 ks and 90 ks Chandra X-ray data. …”
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Enhancing Airport Resource Efficiency Through Statistical Modeling of Heavy-Tailed Service Durations: A Case Study on Potable Water Trucks by Changcheng Li, Minghua Hu, Yuxin Hu, Zheng Zhao, Yanjun Wang

“…Traditional estimation methods often use fixed averages or assume normal distributions, failing to capture real-world variability and extreme scenarios effectively. …”
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Model-Based Electroencephalogram Instantaneous Frequency Tracking: Application in Automated Sleep–Wake Stage Classification by Masoud Nateghi, Mahdi Rahbar Alam, Hossein Amiri, Samaneh Nasiri, Reza Sameni

“…To address this challenge, automated brain monitoring has emerged as a crucial solution for cost-effective and efficient EEG data analysis. A critical component of sleep analysis is detecting transitions between wakefulness and sleep states. …”
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Pretreatment GFR Slopes Predict Dapagliflozin Response in IgA Nephropathy by Hiroyuki Ueda, Nobuo Tsuboi, Kei Matsumoto, Shohei Fukunaga, Akihiro Shimizu, Masahiro Okabe, Shinya Yokote, Takaya Sasaki, Takashi Yokoo

“…Multivariable regression analysis was performed to examine the association between the pretreatment eGFR slope and posttreatment changes in the slope. …”
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Modeling the Effects of Extreme Temperatures on the Infection Rate of <i>Botrytis cinerea</i> Using Historical Climate Data (1951–2023) of Central Chile by William Campillay-Llanos, Samuel Ortega-Farías, Patricio González-Colville, Gonzalo A. Díaz, Marlon M. López-Flores, Rafael López-Olivari

“…Linear trend analyses were conducted, as was analysis of the probability of occurrence. Additionally, five-year averages were calculated, and a generic model was presented to assess the effects of warming on the infection rate. …”
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Determination of comorbidity index for high-risk patients with coronary artery disease before cardiac surgery by О. К. Gogayeva

“…Preoperative risk stratification according to the EuroSCORE II scale averaged 8.8 %. Conclusions. Preoperative analysis of baseline status in CAD patients showed the high Charlson comorbidity index, which averaged 5.7 ± 1.7. …”
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Scaling of fractured rock flow. Proposition of indicators for selection of DFN based flow models by Davy, Philippe, Le Goc, Romain, Darcel, Caroline, Selroos, Jan-Olof

“…We first studied what the inflow distribution tells us about the permeability structure from a series of analyses: distribution of transmissivities as a function of depth, proportion of flowing sections as a function of section scale, and scaling of the arithmetically-averaged and geometrically-averaged permeability. We then define three indicators that describe few fundamental characteristics of the flow/permeability, whatever the scale: a percolation scale $l_{s}$, the way permeability increases with scale above $l_{s}$, and the variability of permeability. …”
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The Lived Experience of Women Regarding Family-Centric Roles in the Southern Neighbourhoods of Tehran by Fatemeh Farhadi babadi, Mehrdad Navabakhsh, Talieh Khademian

“…The interviews lasted an average of 45 minutes each and were conducted over a period of 6 months. …”
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Data-Driven Displacement-Based Formation Control With Range-Only Measurements by Soojeong Hyeon, Hyuntae Kim, Hyungbo Shim

“…In the proposed method, we address discrete-time distributed orientation estimation based on an averaging consensus protocol. An asymptotic stability analysis of the desired formation shape is presented and the proposed strategy is validated through simulation results.…”
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POSSIBILITIES FOR ECHOCARDIOGRAPHIC DETERMINATION OF PULMONARY ARTERY PRESSURE IN PATIENTS WITH SYSTEMIC CONNECTIVE TISSUE DISEASES: DATA OF A RHEUMATOLOGY EXPERT CENTER by E. V. Nikolaeva, Yu. O. Korsakova, I. A. Kurmukov, S. I. Glukhova, N. N. Yudkina, A. V. Volkov

“…Systolic PAP (SPAP) measured by echoCG averaged 72.4±33.7 mm Hg and that by right heart catheterization did 63.3±25.1 mm Hg. …”
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Axially symmetric periodical wave processes in a rotating elastic hollow circular cylinder surrounded by an acoustic medium by Olexa PIDDUBNIAK, Nadia PIDDUBNIAK

“…Calculations are carried out for a case of the Armco iron tube immersed in water. The detailed analysis of temporal and spatial spectral characteristics of the elastic displacements and stresses, the material density and the power flow density averaged in the period of vibrations in elastic cylinder, are presented. …”
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ASCAT Wind Superobbing Based on Feature Box by Boheng Duan, Weimin Zhang, Haijin Dai

“…Besides, it has the added advantage of reducing the uncorrelated error through averaging. However, thinning method using averaging could lead to the loss of some meteorological features, especially in extreme weather conditions. …”
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