Integrated evaluation and optimization of acid fracturing effectiveness in carbonate reservoirs: Experimental insights and field validation. by Peng Lu, Songlei Li, Jinsong Liu, Nan Yuan, Heng Liu

“…Implementation of the proposed methodology has increased stimulation success rates from 55% to 82% in pilot fields, with sustained production gains exceeding 35%. …”
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Surveillance of Multidrug-Resistant Genes in Clinically Significant Gram-Negative Bacteria Isolated from Hospital Wastewater by Shriya C. Shetty, Lakshya S. Gowda, Ankeeta Menona Jacob, Kalidas Shetty, A. Veena Shetty

“…PCR confirmed the presence of drug-resistance genes in Gram-negative bacterial isolates. Results: High rates of <i>Enterobacterales</i> resistant to carbapenems and cephalosporins observed in isolates from final treated effluent. …”
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The magnitude and time course of pre-saccadic foveal prediction depend on the conspicuity of the saccade target by Lisa M Kroell, Martin Rolfs

“…Foveal enhancement defined as the difference between hit rates to target-congruent and target-incongruent foveal probes increased with target opacity. …”
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Evaluating the physical and nutritional environments of rural communities in Illinois by Ravneet Kaur, Emily Orr, Matthew Dalstrom

“… Background Rural communities often have higher rates of physical inactivity and obesity than their urban counterparts. …”
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Cognitive processing of Chinese verbal irony: the role of reverse adjacency relations in reaction time and accuracy by Mian Huang, Zijian Li, Yu Zheng, Caini Yang

“…Results revealed statistically significant difference across conditions, for experimental ironic sentences (6,012 ms) compared to control (4,901 ms) and baseline sentences (3,987 ms all p &lt; 0.001). Accuracy rates followed a similar pattern, with the experimental condition (64.1%) lower than the control (73.6%) and baseline (82.3%, all p &lt; 0.01). …”
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Effect of the Sampling of a Dataset in the Hyperparameter Optimization Phase over the Efficiency of a Machine Learning Algorithm by Noemí DeCastro-García, Ángel Luis Muñoz Castañeda, David Escudero García, Miguel V. Carriegos

“…Nonparametric inference has been used to measure the rate of different behaviors of the accuracy, time, and spatial complexity that are obtained among the partitions and the whole dataset. …”
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Actual Temperature Evolution of Thick Raft Concrete Foundations and Cracking Risk Analysis by Yuwen Ju, Honggang Lei

“…The accuracy of the FEA was ensured by adopting the concrete heat generation rate obtained from the adiabatic temperature rise test. …”
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MAFONN-EP: A Minimal Angular Feature Oriented Neural Network based Emotion Prediction system in image processing by L.B. Krithika, G.G. Lakshmi Priya

“…In recent days, facial emotion recognition techniques are considered important and critical due wide array of application domains use facial emotion as part of their workflow and analytics gathering. Reduced recognition rate, inefficient computation and increased time consumption are the major drawbacks of these techniques. …”
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Land use land cover change as a casual factor for climate variability and trends in the Bilate River Basin, Ethiopia. by Samuel Shibeshi Bikeko, Dr E Venkatesham

“…Concurrently, agricultural land expanded at an annual rate of approximately 1,141 hectares, while urban areas grew by 24.3 hectares annually in recent years. …”
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Spatiotemporal vegetation dynamics in response to precipitation and land surface temperature in the Welmel watershed, southeastern Ethiopia by Tesfaye Bogale, Sileshi Degefa, Gemedo Dalle, Gebeyehu Abebe

“…The results showed a statistically significant increase in the NDVI at an annual scale, with a rate of 0.0028 (p = 0.003) across the entire watershed. …”
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Flexi-YOLO: A lightweight method for road crack detection in complex environments. by Jiexiang Yang, Renjie Tian, Zexing Zhou, Xingyue Tan, Pingyang He

“…Experimental results show that Flexi-YOLO achieves an accuracy increase of 2.7% over YOLOv8n, a recall rate rise of 4.7%, a mAP improvement of 5.3%, a mAP@0.5-0.95 increase of 3.9%, a decrease of 0.5 in GFLOPS, and an F1 score improvement from 0.80 to 0.84. …”
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NCC—An Efficient Deep Learning Architecture for Non-Coding RNA Classification by Konstantinos Vasilas, Evangelos Makris, Christos Pavlatos, Ilias Maglogiannis

“…In the larger one, its accuracy rate exceeded 98%, outperforming all related tools, pointing to high prediction capability, which can act as a base for further findings in ncRNA analysis and the genomics field in general.…”
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Optimal Operation Strategy for Rural Microgrid Considering Greenhouse Load Control by Xueqian Fu, Yazhong Zhou, Zhonghui Wei, Yang Wang

“…Results show the proposed optimization strategy can effectively cut operating expenses for the rural microgrid, improve rate of new energy consumption in the local microgrid, and reduce carbon dioxide emissions.…”
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Anthropogenic Landscape Alteration, but Not Urbanization, Influences Non‐Adaptive Evolution in Common Milkweed (Asclepias syriaca L.) by Sophie T. Breitbart, Marc T. J. Johnson, Helene H. Wagner

“…Demographic analysis indicated that Ne decreased by > 99% within the past 800 years, with the rate of loss accelerating over time. These findings suggest that this A. syriaca population was little affected by the transition from rural to urban habitat; rather, anthropogenic activity prior to urbanization, such as precontact Indigenous inhabitation and colonial settlement, had observable effects on population demography. …”
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Effect of Load Carriage Lifestyle on Kinematics and Kinetics of Gait by Hsin-Huan Wang, Wei-Chi Tsai, Chi-Yao Chang, Min-Hao Hung, Jui-Hung Tu, Ti Wu, Chia-Hsiang Chen

“…The results indicated that active force, breaking force, impact peak, loading rate, active peak, maximum braking, hip flexion, and hip range of motion were substantially higher under load carriage conditions than under walking condition, however, time to peak was lower. …”
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SIMULATION OF COOLING TOWER AND INFLUENCE OF AERODYNAMIC ELEMENTS ON ITS WORK UNDER CONDITIONS OF WIND by K. V. Dobrego, M. M. Hemmasian Kashani, E. E. Lasko

“…Heat transfer coefficient of irrigator and its hydrodynamic resistance were established according to experimental data on total air rate in cooling tower. Numerical model is tested and verified with experimental data.Nonlinear dependence of CT thermal performance on wind velocity is demonstrated with the minimum (critical wind velocity) at ucr ~ 8 m/s for simulated system. …”
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ADPO: Adaptive DRAM Controller for Performance Optimization by Zhuorui Liu, Yan Li, Xiaoyang Zeng

“…Emerging applications like deep neural networks require high off-chip memory bandwidth and low dynamic loaded Double Data Rate SDRAM (DDR) latency. However, under the stringent physical constraints of chip packages and system boards, it is extremely expensive to further increase the bandwidth and reduce the dynamic loaded latency of off-chip memory in terms of DDR devices. …”
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Maggot Mass Effect on the Development and Survival of Forensically Important Blow Flies by Akomavo Fabrice Gbenonsi, Leon Higley

“…We demonstrated that maggot mass temperature might not be reliable, as they may overestimate developmental rate by 18–22% at densities over 1000 larvae. We recommend a bigger container for maggot mass-related studies, starting with 1000 larvae per container. …”
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Four-Dimensionally Multiplexed Eight-State Continuous-Variable Quantum Key Distribution Over Turbulent Channels by Zhen Qu, Ivan B. Djordjevic

“…We experimentally demonstrate an eight-state continuous-variable quantum key distribution (CV-QKD) over atmospheric turbulence channels. The high secret key rate (SKR) is enabled by 4-D multiplexing of 96 channels, i.e., six-channel wavelength-division multiplexing, four-channel orbital angular momentum multiplexing, two-channel polarization multiplexing, and two-channel spatial-position multiplexing. …”
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Effect of Lamination on Shale Reservoir Properties: Case Study of the Montney Formation, Canada by Juhwan Woo, Hyun Suk Lee, Carl Ozyer, Chul Woo Rhee

“…Typically, the degree of lamination is controlled by the sedimentation rate and flow regime. Herein, we developed a mudstone classification scheme in terms of lamination because lamination-based shale facies are related to differing features in mineral composition, porosity, and Young’s modulus. …”
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