The variation rule of TBM tunneling parameters in deep composite strata and the recognition method of boreability grade by Haibin Wang, Guogang Cui, Zhen Shi, Ling Zhang, Chengdeng Gao, Ziwei Ding

“…The results show that: (1) the change characteristics of five main tunneling parameters in different formations are obtained through data preprocessing, and the change trends of tunneling speed and penetration in different formations are consistent, while the change trends of cutter speed, thrust, and torque are opposite to that of penetration. (2) The main tunneling parameters in different formations are analyzed by numerical statistics, and it is found that all of them are normally distributed, and the 25% and 75% position of data distribution is taken to the values of 25% and 75% of the data distribution are given, and the reasonable regulation range of each parameter is given. (3) The two characteristic parameters of thrust factor and tunneling specific energy are introduced to analyze the tunneling energy efficiency of TBM tunneling in different strata, and the variation of the characteristic parameters in a single stratum is small, and the oscillatory nature of them in composite strata is significantly higher than that of a single stratum by a factor ranging from 1.29 to 3.64. (4) The identifying method of the tunneling grade of a strata has been established based on the indicators of the tunneling speed and the energy consumption of tunneling, and a characteristic parameter is proposed to identify the level of the tunneling performance. …”
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Study of Magnetic Features of NiFe Feromagnetic Materials at Various Composition Variations by Simulation Methods by Firman Hanif Romadhon, Lutfi Rohman, Imam Rofi’i

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Systems of Approximating Functions when Using Variational Methods for Calculating Thin-Walled Building Structures by Vladimir V. Karpov

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Variations in Gut Microbiome Profiles Based on Different DNA Extraction Methods: A Comparative Study by Yameng Liu, Xianchun Zhong, Yibin Wang, Kanglong Wang, Cuina Li, Xinyu Liang, Suqin Lin, Ru Zhou, Cen Xie

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Analyzing the Effects of Sewing Compression on Thermal Efficiency in Baffled Jackets with an Advanced Walking Thermal Manikin by Hassan Saeed, Adnan Ahmed Mazari, Md Tanzir Hasan

“…Thermal resistance and insulation efficiency are evaluated using the Thermetrics thermal manikin “Sonny” under dynamic (walking) conditions to analyze the thermal resistance difference between the two types of sewing methods as well as the effects of motion on insulation. …”
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Enhancing Solar Plant Efficiency: A Review of Vision-Based Monitoring and Fault Detection Techniques by Ioannis Polymeropoulos, Stavros Bezyrgiannidis, Eleni Vrochidou, George A. Papakostas

“…The results indicate that shading anomalies significantly impact the performance of PV units, while the top five fault detection methodologies, according to preset evaluation criteria, involve deep learning methods, such as CNNs and YOLO variations.…”
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An Investigation on Natural Window Ventilation: Improving Indoor Air Quality and Energy Efficiency in an Office Building by Emine Şen, Touraj Ashrafian

“…This paper aims to investigate natural ventilation occupant-control methods to improve indoor air quality and increase building energy efficiency considering clean air intake levels and indoor air temperature levels. …”
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Compensated beam model for efficient and accurate FE elastic simulation of strut-based lattice structures by Raffaele De Biasi, Mohammad Salman Yasin, Matteo Perini, Matteo Benedetti, Filippo Berto

“…While methods like asymptotic homogenization offer efficient alternatives, it falls short in capturing lattice real topology and therefore localized effects triggering fatigue failure. …”
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UCM-NetV2: An efficient and accurate deep learning model for skin lesion segmentation by Chunyu Yuan, Dongfang Zhao, Sos S. Agaian

“…Evaluations on the ISIC2017 and ISIC2018 datasets demonstrate that UCM-NetV2 outperforms existing methods in accuracy and com- putational efficiency, achieving up to 67 times faster inference speeds than U-Net and requiring less than 0.04 GFLOPs. …”
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Statistical Analysis of Unique Web Application Vulnerabilities: A Quantitative Assessment of Scanning Tool Efficiency by Zogaj Gani, Ismaili Florie, Idrizi Ermira, Luma Artan

“…Web application security is a critical aspect of modern cybersecurity, necessitating efficient and reliable vulnerability detection mechanisms. …”
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Adopting drone technology for blood delivery: a feasibility study to evaluate its efficiency and sustainability by Pammi Gauba, Anita Nangia, Shalini Bahadur, Sangeeta Pahuja, Shweta Dang, Rambha Pathak, Kiran Agarwal, Sunita Sharma, Deepti Ambalkar, Manoj Jha, Ranju Singh, Priyanka Virdi, Rakesh Gupta, Shambhavee Singh, Ravindra Pandey, Bhuvan Adhlakha, Pragati Agarwal, Kuldeep Nigam, Sumit Aggarwal

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Simulation and Dynamic Analysis of Small Advanced Insulated Compressed Air Energy Storage System by Yuxuan WANG, Yufeng ZHANG, Liansheng LI

“…With increased heat exchange between the gas storage tank and the environment, the energy storage efficiency initially decreases and then increases. When the heat transfer coefficient is 5 W/m2/K, the system's energy storage efficiency reaches a minimum value of 45.98%. …”
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A Novel Variational Bayesian Method with Unknown Noise for Underwater INS/DVL/USBL Localization by Haoqian Huang, Chenhui Dong, Yutong Zhang, Shuang Zhang

“…Subsequently, the posterior information of the system is jointly calculated by employing the variational Bayesian method. Simulations and real trials illustrate that the proposed IW-VACKF can improve the state estimation precision efficiently in the complex underwater environment.…”
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Analysis on APF Calculation Problem Caused by the Optional Method to Obtaining Performance Parameters of Low-temperature Intermediate Refrigeration Condition in GB 21455—2019 by Chen Xuancheng, Zhuang Dawei, Ding Guoliang, Yu Yuefeng, Cheng Jianhong, Wu Guoming

“…The test method given in the national standard causes a variation in energy efficiency under rated intermediate cooling conditions, contrary to the variation in the calculated APF value, which is not reasonable. …”
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Performance Enhancement of Dye Sensitized Solar Cell (DSSC) through TiO2/rGO Hybrid: Comprehensive Study on Synthesis and Characterization by Rustan Hatib, Khairil Anwar, Ramang Magga, Muh Anjas Astak, Denny Widhiyanuriyawan, Wardoyo Wardoyo

“…This process produces rGO hybrid TiO2 photoanodes for dye-sensitized solar cells (DSSC). rGO in the TiO2 structure prevents electron recombination and improves overall efficiency. The main advantage of this method is its ability to prevent loss of rGO during the sintering process, which is a common problem with other methods. …”
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DESIGN AND ANALYSIS OF A HIGH-EFFICIENCY PERMANENT MAGNET SYNCHRONOUS MOTOR FOR ELECTRIC THREE-WHEELER APPLICATION by M. Balakarthikeyan, B. Mohana Segaran, M. M. Sugundan, M. Saravanan

“…This study presents the design and analysis of a Permanent Magnet Synchronous Motor (PMSM) for an electric vehicle drivetrain, focusing on a rear-axle mounted motor with a two-speed variation. The motor was developed and optimized using Finite Element Method (FEM) 2D simulations, integrating theoretical and analytical calculations. …”
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Comparative Assessment of the Efficiencies of Activated Carbon from Banana Peels and Millet Husks in Waste Water Treatment. by Ntege, Abudu Swaburu

“…The project aims to address critical global challenges such as water pollution, high treatment costs, and the environmental risks associated with conventional methods. The removal efficiency of the Banana treatment for TSS was 23.33%, while Millet showed a 15.56% reduction. …”
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Annual Simulation of Phase Change Materials for Enhanced Energy Efficiency and Thermal Performance of Buildings in Southern California by Yiu Chan, Thomas Hoke, Kevin Meredith, Xi Chen

“…This work employs EnergyPlus to simulate the energy consumption of residential homes equipped with paraffin-based PCMs in Southern California, a region that experiences extremely high summer temperatures and significant day–night temperature variations. Two computational methods, the basic method and the hysteresis method, are employed. …”
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Hybrid Recurrent Neural Network and Decision Tree Scheduling for Energy-Efficient Resource Allocation in Cloud Computing by Sefati Seyed Salar, Vulpe Alexandru, Popovici Eduard, Fratu Octavian

“…The proposed method dynamically adapts to workload variations, reducing execution delays and improving Quality of Service (QoS) metrics. …”
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Data-Driven Energy Efficiency Modeling in Large-Scale Networks: An Expert Knowledge and ML-Based Approach by David Lopez-Perez, Antonio De Domenico, Nicola Piovesan, Merouane Debbah

“…Results derived from real network data underscore the paradigm shift introduced by SRCON, showcasing significant gains over a state-of-the-art method used by a operator for network energy efficiency modeling. …”
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