Assessments of F16 Special Sensor Microwave Imager and Sounder Antenna Temperatures at Lower Atmospheric Sounding Channels by Banghua Yan, Fuzhong Weng

“…When compared against radiative transfer model simulations and simultaneous observations from AMSU-A aboard NOAA-16, the SSMIS antenna temperatures at 52.8, 53.6, 54.4, 55.5, 57.3, and 59.4 GHz after the anomaly correction exhibit small residual errors (<0.5 K). …”
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Analysis on the Influence Factors of Bulk Temperature of the Meshing Gear of a Nutation Drive with a Double Circular-arc Spiral Bevel Gear by Chen Ying, Yao Ligang, Wang Xingsheng, Zhang Dawei, Wang Xueying

“…In order to reveal the temperature field distribution law of the nutation drive of the double circular-arc spiral bevel gear, the meshing area is obtained by tooth contact analysis of the double circular-arc spiral bevel gear, the thermal load of the gear is obtained by combining tribology and heat transfer, the finite element numerical model of the temperature of the double circular-arc spiral bevel gear is established, and the influence law and reasons of the relevant influencing factors on the bevel gear temperature are analyzed by using the control variable method. …”
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AN ECONOMIC EVALUATION OF THE PERFORMANCE EFFICIENCY OF CONSERVATION AGRICULTURE AND FOOD SECURITY PROJECTS USING LOGISTIC REGRESSION IN IRAQ FOR THE 2022-2023 SEASON by N. S. Noori, B. H. Hameed, M. Kh. Mohammed

“…There is also a need to transfer the experience of the applied regions to other areas in Iraq.…”
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Energy-Efficient Distributed Edge Computing to Assist Dense Internet of Things by Sumaiah Algarni, Fathi E. Abd El-Samie

“…The Internet of Things (IoT) represents a rapidly growing field, where billions of intelligent devices are interconnected through the Internet, enabling the seamless sharing of data and resources. …”
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APPLICATION RESEARCH ON LOAD SPECTRUM OF STEERING KNUCKLE MULTI-AXIS VIRTUAL TEST BENCH (MT) by DU Jian, HUANG LiMei, WEI MinXian, DONG GuoJiang

“…The multi-body dynamics model of the vehicle was verified by the Kinematics Compliance（KC） test of the suspension and virtual iteration method. …”
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Computational Study on Three-Dimensional Convective Casson Nanofluid Flow past a Stretching Sheet with Arrhenius Activation Energy and Exponential Heat Source Effects by P. Ragupathi, S. Saranya, H.V.R. Mittal, Qasem M. Al-Mdallal

“…The suitable knowledge of heat transfer via non-Newtonian fluid is essential for the achievement of best quality products in industry. …”
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Coffee Rust Severity Analysis in Agroforestry Systems Using Deep Learning in Peruvian Tropical Ecosystems by Candy Ocaña-Zuñiga, Lenin Quiñones-Huatangari, Elgar Barboza, Naili Cieza Peña, Sherson Herrera Zamora, Jose Manuel Palomino Ojeda

“…This research used a quantitative descriptive approach, and 319 photographs were collected with a professional camera during field trips. The photographs were segmented, classified and analyzed using the deep learning MobileNet and VGG16 transfer learning models with two methods for measuring rust severity from SENASA Peru and SENASICA Mexico. …”
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Four-Channel Vibrating Testbed Design for Full Vehicle Durability Simulation by Huiqi Du, Shiqing Xu

“…By representing the transfer function in the frequency domain, the measured signal is changed quickly by Fourier, and the uniqueness of the transfer function is ensured by establishing an invariant system. …”
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A Bibliometric Analysis of Publications on University-Industry Collaboration Using VOSviewer and R-biblioshiny by Zhan Guofang, Mohamad Sattar Rasul, Marlissa Omar

“…The study identified the most influential institutions, journals, authors, and countries in this field. Additionally, based on keyword co-occurrence analysis, research related to university-industry collaboration is distributed across five clusters: (1) innovation and technology transfer, (2) internships and work experience, (3) cooperative education and learning outcomes, (4) collaboration models and partnerships, and (5) collaboration barriers, challenges, and sustainability. …”
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Automatic Speech Recognition: A survey of deep learning techniques and approaches by Harsh Ahlawat, Naveen Aggarwal, Deepti Gupta

“…With the emergence of end-to-end models, deep learning has revolutionized the field of Automatic Speech Recognition (ASR). …”
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Digitalization of public governance in the EAEU countries by V. A. Sapryka, A. V. Pastyuk, N. I. Kulakova

“…In this regard, there is a need to develop a joint interstate policy in the field of institutionalization of the processes of digitalization of society. …”
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Aspects of Dual Simulation for Modified Thermal Flux Advances in Non-Newtonian Reiner–Philippoff Fluid Flow past a Shrinking Plate Embedded in a Porous Medium by Nurhana Mohamad, Anuar Ishak, Umair Khan, Sawan Kumar Rawat, Md Irfanul Haque Siddiqui

“…This study investigates the effects of non-Newtonian Reiner–Philippoff fluids on porous media, particularly in the context of steady radiative mixed convection flow and heat transfer near a shrinking plate surface in the presence of magnetohydrodynamics (MHD). …”
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Numeral simulation of droplet evaporation-atomization under hot air flow by Chao Lv, Lu-Lu Zhang, Ning Wei, Xu-Xin Chen, Hong-Liang Zhao, Wei-Guang Hao

“…In the field of cerium oxide preparation by spray pyrolysis, understanding the droplet atomization-evaporation process is an innovative and promising concept. …”
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Climatological Statistics of Extreme Geomagnetic Fluctuations With Periods From 1 s to 60 min by N. C. Rogers, J. A. Wild, E. F. Eastoe, J. Hübert

“…For UK magnetometers providing 1‐s cadence measurements, the analysis is extended to cover periods from 1 to 60 s and empirical Magnetotelluric Transfer functions are used to predict percentiles and return levels of the geoelectric field over a wide frequency range (2 × 10−4 to 4 × 10−2 Hz) assuming a sinusoidal field fluctuation. …”
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A Review Study of Physical Education Pedagogy in Turkey by Fatih Dervent, Erhan Devrilmez, Mehmet Dalkılıç, Ekrem Yasin Tabak

“…Pedagogy is defined as a concept based on the transfer of teacher’ knowledge and skills to the learner. …”
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Transient Thermal Cooling of Electronics Systems using Functional Graded Fins: Hybrid Computational Analysis by Akinwale Emmanuel Jemiseye, Gbeminiyi Musibau Sobamowo, Olayiwola Olatunji Mayowa

“… Passive cooling of electronics systems requires the use of fins and spines. Improved heat transfer enhancements in the systems have been achieved through porosity, magnetic field,  functionally graded materials, etc. …”
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Effect of Turbulence Intensity on Cross-Injection Film Cooling at a Stepped or Smooth Endwall of a Gas Turbine Vane Passage by Pey-Shey Wu, Shen-Ta Tsai, Yue-Hua Jhuo

“…Thermochromic liquid crystal (TLC) technique with steady-state heat transfer experiments was used to obtain the whole-field film cooling effectiveness. …”
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Rapid Detection of Hybrid Maize Parental Lines Using Stacking Ensemble Machine Learning by M. Aqil, M. Azrai, M. J. Mejaya, N. A. Subekti, F. Tabri, N. N. Andayani, Rahma Wati, S. Panikkai, S. Suwardi, Z. Bunyamin, E. Roy, M. Muslimin, M. Yasin, E. Prakasa

“…Hybrid maize seed production is a relatively complex task due to the coexistence of three distinct types of maize plants in the field: female, male, and contaminant/off-type plants. …”
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Preliminary Estimate of Coriolis Force of Vapor Flow in Rotating Heat Pipes Based on Analytical Solution by Huanguang Wang, Qi Yu

“…In current theory models for rotating heat pipes, the temperature field of the vapor phase is often supposed to be homogenous, and as a result of such simplification, the experiment result of the heat transfer performance for high rotating speed has some discrepancy with that predicted by theory models. …”
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Application of Rotating Machinery Fault Diagnosis Based on Deep Learning by Wei Cui, Guoying Meng, Aiming Wang, Xinge Zhang, Jun Ding

“…Deep learning is a useful tool for analyzing and processing big data, which has been widely used in various fields. After a brief review of early fault diagnosis methods, this paper focuses on the method models that are widely used in deep learning: deep belief networks (DBN), autoencoders (AE), convolutional neural networks (CNN), recurrent neural networks (RNN), generative adversarial networks (GAN), and transfer learning methods are summarized from the two aspects of principle and application in the field of fault diagnosis of rotating machinery. …”
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