Intelligent fault diagnosis of shearer based on simplified interval kernel global-local feature fusion by Ning LI, Hua DING, Xiaochun SUN, Zeping LIU, Guoshu PU

“…As one of the main equipment in coal mining, the health status of shearer is difficult to be accurately monitored due to some factors such as harsh working environment and narrow operating space, and it is highly susceptible to the impact of coal and rock, which can cause faults and directly affect the working efficiency of shearer. In addition, due to the special working environment of shearer, the vibration data collected is very easy to be interfered by various factors and difficult to be used, which affects the reliability and intelligence level of its monitoring. …”
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Inference of Impulse Responses via Bayesian Graphical Structural VAR Models by Daniel Felix Ahelegbey

“…Impulse response functions (IRFs) are crucial for analyzing the dynamic interactions of macroeconomic variables in vector autoregressive (VAR) models. …”
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Analysis of Heat Transfer Performance in a Brayton Cycle Recuperator by Elvis Falcão de Araújo, Guilherme Borges Ribeiro, Lamartine Nogueira Frutuoso Guimarães

“…The characteristic curves of heat transfer rate, effectiveness, convection coefficient and Colburn factor are built for each of the studied geometries in function of the Reynolds number. …”
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Modeling and Numerical Prediction on Mechanical Behaviors of Hybrid Fiber Reinforced Polymer Bio Composites Using Fuzzy Logic Algorithm by Vinoth Viswanathan, Sathiyamurthy Subbarayan, Ananthi Narayanaswamy, Devi Panneerselvam, Prabhakaran Jayasankar

“…A triangular membership function was employed to define all these variables. …”
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Safety Prediction Using Vehicle Safety Evaluation Model Passing on Long-Span Bridge with Fully Connected Neural Network by Yang Yang, Lin Yang, Bo Wu, Gang Yao, Hang Li, Soltys Robert

“…Many research studies have been done to find convenience and efficiency measures. A vehicle safety evaluation model passing on a long-span bridge is presented in this paper based on fully connected neural network (FCN). …”
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Multiple metabolic requirements for size homeostasis and initiation of division in Saccharomyces cerevisiae by Shivatheja Soma, Kailu Yang, Maria I. Morales, Michael Polymenis

“…Furthermore, we show that adenylate kinase, encoded by ADK1, is a significant determinant of the efficiency of size control mechanisms. Finally, our data argue strongly that the cell size at division is not necessarily a function of the rate cells increase in size in the G1 phase of the cell cycle. …”
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Dynamic multicriteria optimization of household heating and cooling system for reusing fuel-cell waste heat at optimal thermodynamic conditions while considering climatic effects by Sara Azamian

“…Energy system structures are evolving toward increasing cost benefits, efficiency, and environmental sustainability. Achieving these goals is contingent upon the utilization of renewables. …”
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Multi‐objective and multi‐stage low‐carbon planning of park integrated energy system considering random outages from superior power grid by Xunpu Jiang, Zhejing Bao, Jianwei Chen, Miao Yu

“…Then, the fuzzy membership function is used to determine the optimal compromise solution, resulting in a planning scheme that balances economic efficiency and supply reliability. …”
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Designing and implementing a Web-based real time routing service for crisis management (a case study for district 11 of Tehran) by javad sadidi, seyed hassan hosseini sajedi

“…According to the obtained results, the path’s length and traffic’s volume variables have the most important role in target function formation (travel cost) therefore the specific path will be selected as the optimal path, with the minimized distance between the destination and the traffic volume. …”
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Comparative Study on the Treatment Effect of Stretching and High-frequency Diathermy in Subjects With Gastrocnemius Tightness by Beom-Seop Kim, Yixin Wang, Ye-Jin Kim, Min-Young Kim, Hye-Seon Jeon

“…Background: Ankle flexibility is important for maintaining proper biomechanical function. Static stretching is used to improve flexibility with minimal risk; however, its effects are often temporary. …”

Cultivares de trigo submetidas a déficit hídrico no início do florescimento, em casa de vegetação Wheat cultivars submitted to water deficit at the beginning of flowering in greenh... by Diego dos Santos, Vandeir F. Guimarães, Jeferson Klein, Samuel L. Fioreze, Eurides K. Macedo Júnior

“…Reduction was found in the gravimetric soil moisture, in the relative levels of water and in all biometric variables, in function of the water deficit. The grain production showed difference only among the water regimes, in which the cultivar CD 111 is more efficient in the maintenance of the productive potential in conditions of water deficit, through the quick recovery in the relative content of water in leaves.…”
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Extreme combination of wind effects and analysis of wind load characteristics for low-rise buildings by Haiwei Guan, Yuji Tian, Yuliang Qi, Weihu Chen

“…Based on transcendental probability theory, the probability density functions of two non-Gaussian scalar sums of wind effects are derived from the relationship between the probability density of the sum of random variables and the joint probability density function of sub-random variables by Hermite polynomial transformation. …”
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The Fuzzy Response Surface Reliability Analysis Method of Turbine Blades by PAN Cheng-yi, WEI Wen-long, ZHANG Chun-yi

“…The analysis result shows that the blade reliability indexes decrease with the increase of fuzzy coefficient. Compared with the traditional method based on random variables, this method is more reasonable for the description of uncertainty, and the evaluation of reliability is more accurate theoretically.…”
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Role of leisure and sleep in promoting daily physical activity in adults with down syndrome by Melissa R. Jenkins, Victoria L. Fleming, Emily K. Schworer, Yiwen Dong, Dana L. Tudorascu, Benjamin L. Handen, Sigan L. Hartley

“…Sleep variables included total sleep time (TST) and sleep efficiency (SE). …”
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Application of machine learning algorithms for predicting the life-long physiological effects of zinc oxide Micro/Nano particles on Carum copticum by Maryam Mazaheri-Tirani, Soleyman Dayani, Majid Iranpour Mobarakeh

“…All ML algorithms showed varied efficiencies in predicting the nonlinear relationships among parameters, with higher efficiency in predicting the behavior of root and shoot dry mass, root fresh weight and number of flowers according to R2 index. …”
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Office-in-the-Loop: an investigation into Agentic AI for advanced building HVAC control systems by Tomoya Sawada, Masahiro Mizuno, Takaomi Hasegawa, Keiichi Yokoyama, Mayuka Kono

“…Heating, Ventilation, and Air Conditioning (HVAC) systems are major energy consumers in buildings, challenging the balance between efficiency and occupant comfort. While prior research explored generative AI for HVAC control in simulations, real-world validation remained scarce. …”
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PARAMETER ANALYSIS AND OPTIMIZATION OF MAGNETIC ADSORPTION UNIT FOR CRAWLER WALL-CLIMBING ROBOT (MT) by ZHAO ZhiHao, TAO YouRui, PEI JiaXin, HU JunYu

“…The length, the width, the height of the permanent magnet, the thickness of the yoke and the distance between the permanent magnet and the wall are selected as the design variables. After the optimized design, the adsorption efficiency of the MAU is increased from 2.029 7 to 3.938 1.…”
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Trajectory Planning Method in Time-Variant Wind Considering Heterogeneity of Segment Flight Time Distribution by Man Xu, Jian Wang, Qiuqi Wu

“…This study aims to optimize a reliable and efficient trajectory by minimizing the Mean-Excess Flight Time (MEFT). …”
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Multi-period optimisation of flexible natural gas production network infrastructure with an operational perspective: A mixed integer linear programming approach by Noor Yusuf, Roberto Baldacci, Ahmed AlNouss, Tareq Al-Ansari

“…Notably, the case considering fixed and operating cost variables together as a single cost variable in the objective function, referred to as annualised cost (case C), offered optimal cost quantification with relaxed technical constraints. …”
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Optimization of Adaptive I²H ∞ Control Method Based on Multiple Input Sensors by Yu Gu, Hanyang Li, Zeting Mei, Hao Wen, Yuanxiong Jin, Wenxuan Dong

“…The core contributions of this study include: 1) Designing a multi-sensor current reference estimator to dynamically generate the optimal electromagnetic torque through state variables such as wheel speed, acceleration, slope, and human factor database (heart rate, subjective score, fatigue index) to achieve real-time prediction of rider demand; 2) Proposing an adaptive current reference value estimation algorithm that integrates feedforward compensation and error feedback to ensure smooth switching of assistance modes and suppress sensor noise; 3) Developing an intention-induced H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> robust current tracking controller that significantly enhances the system&#x2019;s robustness to parameter fluctuations and external disturbances by optimizing the H<inline-formula> <tex-math notation="LaTeX">$\infty $ </tex-math></inline-formula> norm of the closed-loop transfer function, while supporting personalized riding assistance.…”
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