Prediction of growth and feed efficiency in mink using machine learning algorithms by A. Shirzadifar, G. Manafiazar, P. Davoudi, D. Do, G. Hu, Y. Miar

“…The ADG, FCR, and RFI were then predicted by the selected ML algorithms using multiple combinations of the observed and measured features from P1 to P5. By comparing the calculated ADG, FCR, and RFI values with the predicted values, it was determined that the most accurate combination of features was to include all features such as sex, color, age, BW and body length on August 1st (at the beginning of the P1). …”
Get full text

Enhanced Ventilation and Energy Efficiency of an Optimized Double-Channel Solar Chimney by Chenle Ye, Yanfei Zhang, Qinming Lv, Shaoyang Lou, Xiaojun Luo, Zhonggou Chen, Guoyi Zhang

“…Key parameters for the deflector installation include its angle and length. Our findings reveal that the optimal configuration for the double-channel solar chimney occurs when the deflector has a horizontal angle of γ = 35° and a length-to-diameter ratio (l/D) of 0.3. …”
Get full text

Efficiency assessment of optimizing the schedule of urban passenger transport on duplicate sections by S. A. Azemsha, I. N. Kravchenia

“…Optimization technique includes some steps: analysis of public transport network, determining a lot of duplicate sections and their characteristics, calculation the optimal time intervals among arrivals of route vehicles and alignment this intervals among consecutive route vehicles on duplicate sections, analysis of the quality of adjusted schedule of route vehicles and calculating the effect. …”
Get full text

Optimization of Implantable Axial Pump to Increase Efficiency of Mechanical Circulatory Support by S. V. Gautier, A. P. Kuleshov, A. E. Efimov, I. I. Agapov, G. P. Itkin

“…To optimize implantable axial pump to increase hydraulic efficiency and reduce blood hemolysis. Materials and methods. …”
Get full text

Efficient Hybrid DDPG Task Scheduler for HPC and HTC in Cloud Environment by S. Sudheer Mangalampalli, Ganesh Reddy Karri, Sachi Nandan Mohanty, Shahid Ali, Atif M. Alamri, Salman A. Alqahtani

Get full text

Parallel algorithm for sensitive sequence recognition from long-read genome data with high error rate by Cheng ZHONG, Hui SUN

“…To solve the problem that existing algorithms were difficult to effectively identify sensitive sequences in genomic data for long-read with high error rate, a recognition algorithm using hybrid CPU and GPU parallel computing, called CGPU-F3SR, was proposed.Firstly, the long-read in genomic data were partitioned into multiple short-read, and the Bloom filtering mechanism was used to avoid repeated calculation of the short-read.Secondly, the k-mer coding strategy was used to extract in parallel the error information of all short-read, the recognition accuracy was promoted by improving the sequence similarity calculation model.Finally, CPU and GPU were used to coordinate and parallel to accelerate the calculation of short-read similarity to improve recognition efficiency.As a result, both two types of sensitive sequences including short tandem repeats and disease related sequences could be identified efficiently and accurately from genome data for long-read with high error rate.The experimental results of recognizing sensitive sequences from genomic data for long-read with length 100～400 kbp each show that, compared with existing parallel algorithm, the average recognition accuracy and precision rate of proposed CPU/GPU parallel algorithm CGPU-F3SR are increased by 7.77% and 43.07% respectively, its average false positive rate is reduced by 7.41%, and its average recognition throughput is increased by 2.44 times.…”
Get full text

Parallel algorithm for sensitive sequence recognition from long-read genome data with high error rate by Cheng ZHONG, Hui SUN

“…To solve the problem that existing algorithms were difficult to effectively identify sensitive sequences in genomic data for long-read with high error rate, a recognition algorithm using hybrid CPU and GPU parallel computing, called CGPU-F3SR, was proposed.Firstly, the long-read in genomic data were partitioned into multiple short-read, and the Bloom filtering mechanism was used to avoid repeated calculation of the short-read.Secondly, the k-mer coding strategy was used to extract in parallel the error information of all short-read, the recognition accuracy was promoted by improving the sequence similarity calculation model.Finally, CPU and GPU were used to coordinate and parallel to accelerate the calculation of short-read similarity to improve recognition efficiency.As a result, both two types of sensitive sequences including short tandem repeats and disease related sequences could be identified efficiently and accurately from genome data for long-read with high error rate.The experimental results of recognizing sensitive sequences from genomic data for long-read with length 100～400 kbp each show that, compared with existing parallel algorithm, the average recognition accuracy and precision rate of proposed CPU/GPU parallel algorithm CGPU-F3SR are increased by 7.77% and 43.07% respectively, its average false positive rate is reduced by 7.41%, and its average recognition throughput is increased by 2.44 times.…”
Get full text

Assessment of the Efficiency of Thermal Waste Regeneration in the Blown Impassable Channels of Heating Mains by V. A. Sednin, T. V. Bubyr

“…Regression equations have been obtained for calculating the intensity of heat transfer from pipelines and channel enclosing structures with a given change in the size, length of channels and pipelines for various outdoor and ground temperatures characteristic of the heating and inter-heating periods. …”
Get full text

Extremely High-Efficiency Coupling Method for Hollow-Core Photonic Crystal Fiber by Danyun Fan, Zhiqiang Jin, Guanghui Wang, Fei Xu, Yanqing Lu, Dora Juan Juan Hu, Lei Wei, Ping Shum, Xuping Zhang

“…A DSA-GSA matching model is proposed to calculate the efficiency for different splicing situations. …”
Get full text

Pharmacoeconomic assessment of type 2 diabetes mellitus care on the base of Endocrinology Research Centre, Moscow by Ivan Ivanovich Dedov, Marina Vladimirovna Shestakova, Evgeny Vladimirovich Tarasov, Ekaterina Alekseevna Shestakova

Get full text

Research on a Visually Assisted Efficient Blind-Guiding System and an Autonomous Shopping Guidance Robot Arm Adapted to the Complex Environment of Farmers’ Markets by Mei Liu, Yunhua Chen, Jinjun Rao, Wojciech Giernacki, Zhiming Wang, Jinbo Chen

“…What is more, compared with the general navigation method, the driving trajectory length of A*-FRN is 23.3% less. Furthermore, the efficiency of guiding VI people to select products by a robotic arm is 100% higher than that through a finger to search and touch.…”
Get full text

Multidimensional Comprehensive Evaluation Method for Sonar Detection Efficiency Based on Dynamic Spatiotemporal Interactions by Shizhe Wang, Weiyi Chen, Zongji Li, Xu Chen, Yanbing Su

“…Based on the above models, we construct the multidimensional sonar detection efficiency evaluation indicator system by implementing a confidence analysis, effective detection rate calculation, and a data volatility quantification analysis. …”
Get full text

On the issue of creating the optimal last stage of powerful steam turbines of nuclear power plants by T. V. Bogomolova, G. A. Ahmadzadeh

“…To estimate the most effective length of the working blade of the last stage of a powerful wet-steam turbine in terms of obtaining its maximum efficiency and to optimize the parameters of this stage in the design mode. …”
Get full text

RELATIVE EFFICIENCY OF SELECTION INDICES FOR GRAIN YIELD IN BREAD WHEAT (Triticum aestivum L.) by N. Yousif

“…Six traits of bread wheat in 15 F2 generation of crosses from 6×6 diallel mating system with their parents were studied. The relative efficiency over grain yield from selection based on several indices were calculated . …”
Get full text

Linear DNA–Chitosan Nanoparticles: Formulation Challenges and Transfection Efficiency in Lung Cell Line by Chiara Migone, Angela Fabiano, Ylenia Zambito, Rebecca Piccarducci, Laura Marchetti, Chiara Giacomelli, Claudia Martini, Anna Maria Piras

“…Compared to circular plasmids, linear DNA also has the advantage that its dimension and steric hindrance are directly correlated to the length of the nucleotide chain. These considerations make linear DNA an effective choice for gene delivery pilot studies, where formulations and transfection efficiency calculations are studied considering the nucleic acid dimensions. …”
Get full text

Assessing the Logistics Efficiency of Baltic Region Seaports Through DEA-BCC and Spatial Analysis by Vilma Locaitienė, Kristina Čižiūnienė

“…The spatial autocorrelation analysis examined the relationships among the Baltic Sea ports, container volumes, and logistic efficiency values derived from the DEA model. Recognizing the sensitivity of the weight matrix in previous studies, this paper introduced an enhanced two-factor weighting matrix that incorporated geographical distance and the port connectivity index, calculated by the United Nations Conference on Trade and Development (UNCTAD). …”
Get full text

Symmetry Breaking in the Lowest-Lying Excited-State of CCl₄: Valence Shell Spectroscopy in the 5.0–10.8 eV Photon Energy Range by Luiz V. S. Dalagnol, Sarvesh Kumar, Alessandra S. Barbosa, Umma S. Akther, Nykola C. Jones, Søren V. Hoffmann, Márcio H. F. Bettega, Paulo Limão-Vieira

“…The molecular spectrum and electronic structure have been comprehensively investigated together with quantum chemical calculations, providing geometries, bond lengths, vertical excitation energies and oscillator strengths. …”
Get full text

Tracing In-Hospital COVID-19 Outcomes: A Multistate Model Exploration (TRACE) by Hamed Mohammadi, Hamid Reza Marateb, Mohammadreza Momenzadeh, Martin Wolkewitz, Manuel Rubio-Rivas

“…This study aims to develop and apply multistate models to estimate, forecast, and manage hospital length of stay during the COVID-19 epidemic without using any external packages. …”
Get full text

Optimizing Unmanned Vehicle Navigation: A Hybrid PSO-GWO Algorithm for Efficient Route Planning by Gökhan Altun, İlhan Aydın

“…The comparison evaluated the algorithms based on their execution time for finding the optimal route, the length of the calculated route, the required number of iterations, and their ability to escape local minima. …”
Get full text

Application of an Accurate and Efficient Modeling Approach to a Multiscale Fractured Reservoir in South China Sea by Wei Zhang, Zong Dai, Bin Gong, Yahui Wang, Xiaolin Zhang, Xiao Chen

“…Carbonate reservoirs in the South China Sea mostly contain natural fractures with various length scales and different intensities, which causes great challenges in efficient reservoir modeling and flow simulation. …”
Get full text