Energetic and Neuromuscular Demands of Unresisted, Parachute- and Sled-Resisted Sprints in Youth Soccer Players: Differences Between Two Novel Determination Methods by Gabriele Grassadonia, Michele Bruni, Pedro E. Alcaraz, Tomás T. Freitas

“…., the Global Positioning System [GPS] and electromyography-based [EMG]); and (3) the apparent efficiency (AE) of 30-m linear sprints in seventeen elite U17 male soccer players performed under different conditions (i.e., unloaded sprint [US], parachute sprint [PS], and four incremental sled loads [SS15, SS30, SS45, SS60, corresponding to 15, 30, 45 and 60 kg of additional mass]). …”
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Many objective optimization and decision support for dairy cattle feed formulation by Member Joy Usigbe, Daniel Dooyum Uyeh, Tusan Park, Yushin Ha, Rammohan Mallipeddi

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EFFECT OF INTELLECTUAL CAPITAL AND OWNERSHIP STRUCTURE ON FIRM VALUE WITH CSE MEDIATOR by Elizabeth Tanjung Setiawan, Jesica Handoko

“…The objective of the study is determining the effect of intellectual capital and ownership structure on firm value through capital structure efficiency (CSE). Intellectual capital is measured using the Value Added Intellectual Coefficient (VAICTM), ownership structures is measured by percentage of managerial ownership and institutional ownership, company value is measured by Price to Book Value (PBV), and capital structure efficiency is measured by interest bearing debt to equity ratio (IBDER). …”
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Foraging Behaviour of the Black-Headed Heron at Kibimba Rice Scheme, Eastern Uganda by Sarah, Nachuha, M. Polycarp, Mwima

“…The feeding success and efficiency of the Black-headed Heron (Ardea melanocephala) was examined in the different growth stages/phases of paddy rice, namely: Ploughed fields, Phase 1 fields (2 weeks-1 month after sowing) and Harvested fields. …”
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Performance measurement in data envelopment analysis: a BCC-based approach by Azam Pourhabib Yekta, Mahnaz Maghbouli

“…Purpose: Data Envelopment Analysis (DEA) is a technique used to assess performance and measure the relative efficiency of Decision Making Units (DMUs) through linear programming. …”
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3D Coverage Optimization for WSNs Based on Improved Flow Direction Algorithm by QIAN Zhichao, HU Biling, LIU Minmin

“…The proposed optimization algorithm was compared experimentally with Virtual Force Algorithm (VFA), Exact Coverage Algorithm for Unknown Targets (ECA), and Artificial Potential Field Algorithm (APFA) under two scenarios: T-type non-uniform distribution and linear non-uniform distribution of events. The results showed that, under the former scenario, the coverage efficiency of the Improved Flow Direction Algorithm (IFDA) was improved by 3.0%, 4.2%, and 6.3% compared to VFA, ECA, and APFA, respectively. …”
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Machine Learning Performance Analysis for Bagging System Improvement: Key Factors, Model Optimization, and Loss Reduction in the Fertilizer Industry by Ari Primantara, Udisubakti Ciptomulyono, Berlian Al Kindhi

“…Inconsistencies in product weight during fertilizer bagging can lead to material losses and reduced operational efficiency. This study investigates the use of machine learning to predict weight deviations in the Urea Bagging Unit at PT Petrokimia Gresik. …”
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Open Radio Access Networks “O-RAN” SystemsThroughput improvement) by Russul Qasim, Ismail S. Baqer

“…In this work, we balance the spectral efficiency and the required power, which will reduce the signalling overheads and processing in high-density radio access networks. …”
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Influence of Bragg Resonance on the Hydrodynamic Performance of a Fixed-Detached Asymmetric Oscillating Water Column Device by Prakash Kar, Robert Mayon, Dezhi Ning

“…The results show that the resonance effects on the efficiency performance increase as the number of breakwaters/trenches increases. …”
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MODERNIZATION OF THE AUTOMATED WATER LEVEL CONTROL SYSTEM IN THE PAVLOVSKIY WATER INTAKE STORAGE RESERVOIRS by Marina V. Chkalova, Victoria D. Pavlidis

“…All these changes do not affect the stability of the control system, but increase the efficiency and functionality of the technical water intake system. …”
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Integration of Circular Economy and Urban Metabolism for a Resilient Waste-Based Sustainable Urban Environment by Konstantina Ragazou, Georgia Zournatzidou, George Sklavos, Nikolaos Sariannidis

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Wearable System Applications in Performance Analysis of RaceRunning Athletes with Disabilities by Mohsen Shafizadeh, Keith Davids

“…The relationship between race velocity (performance index) and race load was non-linear and statistically significant, which led to different performance efficiency groups. …”
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Resource Optimization for Grid-Connected Smart Green Townhouses Using Deep Hybrid Machine Learning by Seyed Morteza Moghimi, Thomas Aaron Gulliver, Ilamparithi Thirumarai Chelvan, Hossen Teimoorinia

“…This model incorporates a wide range of sustainable materials and smart components such as recycled insulation, Photovoltaic (PV) solar panels, smart meters, and high-efficiency systems. The CSGTs operate in grid-connected mode to balance on-site renewables with grid resources to improve efficiency, cost-effectiveness, and sustainability. …”
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The Culprit of Bias for Paleointensity Estimation in the Shaw‐Type Protocol and an Innovative Calculation Method by Kaixian Qi, Shuhui Cai, Huafeng Qin, Yuhji Yamamoto, Chenglong Deng, Yongxin Pan, Xin Cheng, Hanning Wu, Rixiang Zhu

“…Combined with a curve fit technique for samples with “folding" phenomenon, the LoRD‐Shaw method yields high‐accuracy results in all tested samples, demonstrating its efficiency in mitigating paleointensity bias from thermal alteration. …”
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Sinusoidal regression model for assessment of mudflows dynamics by B. A. Ashabokov, A. A. Tashilova, L. A. Kesheva, N. V. Teunova

“…The article shows that the use of the sinusoidal regression function makes it possible to identify the cyclicity of time series, which will help in assessing the dynamics of mudflows taking into account long-term changes in climate variables. The increased efficiency of the models is confirmed by the criteria. …”
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A Novel Non-Enzymatic Efficient H₂O₂ Sensor Utilizing δ-FeOOH and Prussian Blue Anchoring on Carbon Felt Electrode by Karoline S. Nantes, Ana L. H. K. Ferreira, Marcio C. Pereira, Francisco G. E. Nogueira, André S. Afonso

“…In this study, an efficient H₂O₂ sensor was developed based on electrochemical Prussian blue (PB) synthesized from the acid suspension of δ-FeOOH and K₃[Fe(CN)₆] using cyclic voltammetry (CV) and anchored on carbon felt (CF), yielding an enhanced CF/PB-FeOOH electrode for sensing of H₂O₂ in pH-neutral solution. …”
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Characterization and genome analysis of lytic Vibrio phage VPK8 with potential in lysing Vibrio parahaemolyticus isolates from clinical and seafood sources by Valalak Jintasakul, Jiranan Pattano, Sutima Preeprem, Pimonsri Mittraparp-arthorn

“…This study characterizes Vibrio phage VPK8, focusing on host specificity, efficiency of plating (EOP) variability across V. parahaemolyticus isolates from diverse sources and other Vibrio species, morphology, genomic features, and bacteriolytic potential. …”
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Study on the Response of Cotton Leaf Color to Plant Water Content Changes and Optimal Irrigation Thresholds by Binbin Mao, Lulu Wang, Junhui Cheng, Bing Chen, Jiandong Wang, Kai Zhang, Xiaowei Liu

“…., while B color values exhibited no consistent pattern; (3) correlation analysis revealed significant positive correlations between plant water content and R and G color values of the five functional leaves during the 2:30 p.m. to 5:00 p.m. period, with highly significant correlations observed for the third and fourth leaves from the apex; (4) univariate and bivariate linear regression models were successfully established between cotton water content and R and G color values of the third and fourth leaves from the top; and (5) under 72% plant water content conditions, cotton achieved the highest yield and Irrigation Water Use Efficiency, indicating that 72% represents the optimal irrigation threshold. …”
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Optimizing wheat yield and water productivity under water scarcity: A modeling approach for irrigation and cultivar selection across different agro-climatic zones of Egypt by Maha L. Elsayed, Ahmed F. Elkot, Tahany Noreldin, Benjamin Richard, Aiming Qi, Yasser M. Shabana, Samir M. Saleh, Bruce D.L. Fitt, Ahmed M.S. Kheir

“…Using the DSSAT CERES-Wheat model, calibrated with field data from experiments on three wheat cultivars (Sakha94, Shandweel1 and Sids1) under five irrigation treatments across four locations, we evaluated the impact of irrigation frequency and elevated CO₂ levels (390 ppm) on grain yield and water-use efficiency. Results show that frequent irrigation (50 % depletion) increases yield by up to 22 % compared to less frequent irrigation (90 % depletion), particularly for Sakha94, while reduced irrigation enhances water productivity based irrigation (WP_Irrigation), with Shandweel1 and Sids1 achieving 15–20 % higher WP under water-limited conditions. …”
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Light saturation and temperature jointly dominate the diurnal variation of net ecosystem exchange in grassland ecosystems by Haoyu Xia, Honglei Jiang, Chihao Zhang, Jiayu Xu, Xia Xu, Tong Zhang, Yiqin Huang, Xiaoqing Xu, Yiru Zhao, Yuhe Hu, Yinghong Xie

“…Results furthermore allowed to optimize the light-ues efficiency model, which exhibited remarkable accuracy in daily GPP estimation and effectively simulated the diurnal variation patterns between GPP and climatic factors. …”
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