Lung Function before and Two Days after Open-Heart Surgery by Charlotte Urell, Elisabeth Westerdahl, Hans Hedenström, Christer Janson, Margareta Emtner

“…Lung volumes decreased by 50% and were less than 40% of the predictive values postoperatively. Patients with BMI >25 had lower postoperative inspiratory capacity (IC) (33±14% pred.) than normal-weight patients (39±15% pred.), (P=0.04). …”
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Bridging Molecular Docking to Molecular Dynamics to Enlighten Recognition Processes of Tailored D-A/D-A-D Types' AIEgens with HSA/BSA by Harun Nalçakan, Gülbin Kurtay

“…Subsequently, molecular dynamics simu-lations were also performed for the best-docked ligands: macromolecule complexes; namely D1A1D1:BSA and D1A1:HSA, to enlighten various structural parameters. Based on the predicted root-mean-square deviation (RMSD) values (on average), the D1A1D1:BSA complex was found to be 0.319 nm, while the D1A1:HSA complex was determined as 0.284 nm. …”
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Cache of cryptographic key based on query popularity by Wei JIN, Fenghua LI, Ziyan ZHOU, Xiyang SUN, Yunchuan GUO

“…In the current HDFS (Hadoop Distributed File System) key management system, the encryption zone keys are all loaded into the memory during startup of key service.With the increase of the key resource, the occupied memory space also grows, bringing the bottleneck of memory space and key indexing.There are three challenges induced: how to organize cached data and efficiently handle queries with missed keys, how to adjust key resources in the cache, and how to accurately predict the use of keys.In order to achieve fine-grained and efficient caching and improve the efficiency of key use, key caching optimization was considered from three aspects: key index data structure, key replacement algorithm, and key prefetching strategy.An architecture of key cache replacement module was designed, and then a key replacement algorithm based on the query frequency was set.Specifically, from the perspective of heat computing and key replacement, the potential influencing factors affecting the popularity of key cache were analyzed which considered the file system and user of key management system.Besides, the basic model of key usage popularity was constructed.The hash table and minheap linked list was combined to maintain the heat of the key in use, and the elimination algorithm was set based on heat identification.The key in the cache was dynamically updated, and key usage was adjusted by the time controller, so as to realize key replacement according to the key heat.For key prefetching, key usage rules were obtained through log mining and periodical usage analyzing of key provisioning policies, which considered business processes and the time period dimension of user accessing.Experimental results show that the proposed key replacement algorithm can effectively improve the hit rate of cache queries, reduce memory usage, and ameliorate the impact of key file I/O interaction on query performance.…”
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An Innovative Approach to Estimate Chloride Diffusion Coefficient in Submerged Concrete Structures Using Soft Computing by Seyyed Ali Habibi, Ali Hemmati, Hosein Naderpour

“…., linear, quadratic, cubic, Gaussian), K-nearest neighbors (fine, medium, coarse KNN), and two methods of ensemble learning (bagged tree, subspace discriminant) are applied to predict the chloride diffusion coefficient. The results indicated that the quadratic support vector method (with 93.5% accuracy) is the best technique in estimating the chloride diffusion coefficient. …”
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Parameter Estimation for the One-Term (Multiterm) Fractional-Order SEIAR Models of Norovirus Outbreak by Tianzeng Li, Yu Wang, Weiqiu Pan

“…With the new parameters, all numerical studies illustrate that the numerical solutions fit very well with the real data, which reveals that the single-term and multiterm fractional-order SEIAR models of Norovirus outbreak all can predict the number of the infectious people accurately. …”
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Investigating Impact of Gasket Cylinder Addition and Octane Rating on Engine Performance by Bahtiar Rahmat, Mohammad Burhan Rubai Wijaya, Yuris Bahadur Wirawan, Fahmy Zuhda Bahtiar, Katiko Imamul Muttaqin

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Assess the role of climate change and teleconnection signals at maximum temperature, Case study: Khuzestan province by Gholamabbas Fallah Ghalhari, Fahimeh Shakeri

“…In this study, given the importance of global warming that severely affected all aspects of life, the authors explore the relationship between climatic factors and maximum temperature in Khuzestan province until to rely on it, and ones can predict and forecast air temperature at this region. …”
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Knuckle-walking and behavioural flexibility in great apes by Emily LR Tarrega-Saunders, Charlotte King, Alice M Roberts, Susannah KS Thorpe

“…Furthermore, the potential for plasticity in anatomical development presents challenges to evolutionary predictions that are based on tight links between skeletal form and locomotor function. …”
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Numerical Simulation of Flood Evolution in Pangtoupao Flood Storage Area Based on Two-Dimensional Shallow Water Equation by SUN Zhenyu, ZHOU Yunhao, ZHANG Qinxu, QIN Mengen, ZHANG Mingliang

“…Exploring the flood evolution in flood storage areas is of great significance for flood control work in flood storage areas. To predict the dynamics of incoming floods within a short period of time, The Godunov-type finite volume method was used to establish a two-dimensional hydrodynamic numerical model of shallow water. …”
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Optimization of Video Stimuli Parameters in EMDR Therapy Using Artificial Neural Networks for Enhanced Treatment Efficacy by Jungho Suh, Sungbok Chang, Hyunjun Park

“…Of the 2860 ANN-modeled combinations, stimulus settings of 1.8 Hz speed, 70-pixel size, and 1440-pixel distance achieved the highest Predicted Effectiveness Score (PES) of 98.7%. An EMDR field test with electroencephalography (EEG) was conducted to assess the optimized video stimuli’s efficacy. …”
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Sparse high-dimensional decomposition of non-primary auditory cortical receptive fields. by Shoutik Mukherjee, Behtash Babadi, Shihab Shamma

“…CortRFs of PEG neurons captured their selectivity to more complex spectrotemporal features than A1 neurons; moreover, CortRF models were more predictive of PEG (but not A1) responses to speech. …”
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Lip-Reading Classification of Turkish Digits Using Ensemble Learning Architecture Based on 3DCNN by Ali Erbey, Necaattin Barışçı

“…The aim of this study is to create a lip reading dataset for Turkish digit recognition and to conduct predictive analyses. The dataset has divided into two subsets: the face region and the lip region. …”
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Forecasting GIC Activity Associated With Solar Wind Shocks for the Australian Region Power Network by R. A. Marshall, E. A. Pearce, C. L. Waters, M. Terkildsen

“…Statistical analyses of GIC‐indices and various solar wind parameters associated with the shocks resulted in an empirical model that is a function of solar wind dynamic pressure, geomagnetic latitude, and change in solar wind speed with good operational predictive capability. This model was further assessed using online catalogs of solar wind shock events.…”
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SCC and Corrosion Fatigue characterization of a Ti-6Al-4V alloy in a corrosive environment – experiments and numerical models by S. Baragetti, F. Villa

“…Finally, crack propagation models have been implemented to predict the crack propagation rates for smooth specimens, by using Paris, Walker and Kato-Deng-Inoue-Takatsu propagation formulae. …”
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Predictors of Sleep Apnea in the Canadian Population by Ina van der Spuy, Gaungming Zhao, Chandima Karunanayake, Punam Pahwa

“…Multivariable logistic regression analysis indicated that age (45 and older), loud snoring, sudden awakening with gasping/choking (rare/sometimes and once or more a week), and nodding off/falling asleep in driving in the past 12 months were significantly associated with diagnosed sleep apnea. Predictive probability demonstrated that in overweight and obese persons, ≥15 minutes of daily exercise significantly decreased the risk of diagnosed sleep apnea. …”
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Commercial bioinoculants improve colonization but do not alter the arbuscular mycorrhizal fungal community of greenhouse-grown grapevine roots by Mariam P. Berdeja, Nicole K. Reynolds, Teresa Pawlowska, Justine E. Vanden Heuvel

“…Results Contrary to our predictions, no differences in the microbiome of plants exposed to native AMF communities versus commercial AMF bioinoculants + native AMF communities were detected in roots. …”
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Cost-effective time-efficient subnational-level surveillance using Twitter: Kingdom of Saudi Arabia case study by Marwa K. Elteir

“…Applying this to Saudi Arabia for COVID-19, we generated a dataset, KSAGeoCOV, with 4.25 times more tweets than a geotagged-only dataset. It successfully predicted two COVID-19 outbreaks in June 2021 and January 2022. …”
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Evaluation of the Energy Efficiency of Industrial Furnaces Based on the Modeling of Fuel Consumption Modes by Ya. L. Shenets

“…The presented methods and the numerical calculations obtained for reducing the energy efficiency of a glass furnace make it possible to predict fuel consumption and form a correct annual application for its required volume to a gas supply organization, as well as evaluate the energy efficiency of production operating an industrial furnace and calculate the energy consumption rate for the output of a unit of production. …”
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Mathematical Simulation of Lost Circulation in Fracture and Its Control by Xiao Cai, Boyun Guo, Qingfeng Guo, Hongwei Jiang

“…A numerical model is developed to simulate the deposition of lost circulation materials in fractures and predict the time and the volume of drilling fluid needed for lost circulation control. …”
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Emotional competence and problem behavior of left-behind preschool children—the roles of self-regulation and authoritative grandparenting styles by Lanlan Luo, Shan Jin, Qi Huang

“…Although previous studies have found that emotional competence significantly predicts problem behavior, little is known about the mechanism(s) through which self-regulation and authoritative grandparenting styles affect emotional competence and problem behavior. …”
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