The Importance of Molecular Structure for Textural and Physicochemical Properties of Extruded Wheat Flour by Yuan Chai, Ruibin Wang, Bo Zhang, Yonglu Tang, Chaosu Li, Boli Guo, Ming Li

“…This study elucidated the mechanistic interplay between the extrusion parameters (temperature and screw speed), starch molecular architecture (chain-length distribution), and key physicochemical properties of wheat flour extrudates. …”
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Hand-Controller Latency and Aiming Accuracy in 6-DOF VR by Viktor Kelkkanen, David Lindero, Markus Fiedler, Hans-Jürgen Zepernick

“…The main conclusions are, given the tested context, first, that the predictability of target motion becomes significantly more important as latency and target speed increase. A significant difference in accuracy is generally observed at latencies beyond approximately 130 ms and at target speeds beyond approximately 3.5°/s. …”
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Challenges of drone development in Iran's agricultural sector: The application of the TOWS analysis by Zahra Khoshnodifar, Pouria Ataei, Hamid Karimi

“…Given the increasing adoption of modern technologies in agriculture and the challenges associated with the acceptance and development of drones in this sector, the present research aimed to analyze the challenges of drone application in Iran's agriculture in order to propose some effective strategies. …”
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Efficient network attack path optimization method based on prior knowledge-based PPO algorithm by Qiuxiang Li, Jianping Wu

“…Based on these rules, action mask vectors are generated before each action sampling phase to modify the distribution of the output of the policy network. …”
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The Influence of Microbial Agent on the Mineralization Rate of Steel Slag by Haihe Yi, Chun-xiang Qian

“…The results show that the compressive strength and carbonation speed rose with the increase in microorganism content. …”
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USING THE METHODS OF SYSTEMS BIOLOGY FOR PREDICTING PERSPECTIVE TARGET GENES TO SELECT C3 AND C4 CEREALS FOR OXIDATIVE STRESS RESISTANCE by A. V. Doroshkov, A. V. Bobrovskikh

“…Cells produce ROS during normal metabolism reactions, but ROS production increases under stressful conditions. …”
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Aerosol forces mesoscale secondary circulations occurrence: evidence of emission reduction by Jixiang Li, Haipeng Yu, Markku Kulmala, Tom V. Kokkonen, Kai Tang, Jianmin Ma, Zeyong Hu, Siyu Chen, Yuling Hu, Rong Dai, Bofei Zhang, Hongyu Luo, Shu Tao

“…During the 2014 Asia-Pacific Economic Cooperation (APEC) with extraordinary emission reduction, the time levels of SCs significantly decreases to ~37.3% of the periods without emission reduction before and after APEC period. …”
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New information technology of centralized management of passenger car fleet by A. V. Komissarov, E. A. Zubkova, E. G. Krokhaleva, M. A. Evgen’Eva, N. B. Karavanova, A. A. Veselova, R. Yu. Zakharov, Yu. A. Ioffe, M. A. Skvortsov

“…It is noted that the sources of increased complexity of managing the passenger car fleet are the constantly increasing complexity of business processes automated at the linear enterprise, which conflicts with the existing regulatory and technological base, as well as increasing requirements for the speed and accuracy of execution of all operations with cars. …”
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The Effects Magnetic Field on Droplet Combustion of Avocado Seed Biodiesel by Suganda Berliana Rizki, Sanata Andi, Hermawan Yuni, Ilminnafik Nasrul, Yudistiro Danang

“…By optimising single droplet combustion, it will result in more efficient combustion and increase the speed of the combustion reaction. This development is a first step in the analysis of fuel magnetisation in micro-scale combustion before it is applied to diesel engine combustion with potential applications for energy efficiency.…”
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Movement and distribution of particles in the tank of jet and agitation combined flotation machine by Tao WANG, Wei ZHOU, Zilei WANG, Shujie WANG, Lingling WANG, Liang LI

“…The uniformity of particle distribution does not increase with the increase of impeller stirring speed, but there is an optimal impeller working parameter. …”
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A novel efficient route for removing Pb2+ ions from wastewater using 2-(4-nitrobenzylidene)malononitrile doped on Reed stems by Shahoo Ahmadi, Ghasem Marandi

“…The decrease in vibrational absorption frequency in the cyanide groups following the absorption of Pb2+ ions indicate their role in removing lead ions. …”
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Epidemiological study on road traffic accidents in Al-Najaf city during 2011 by Salam Jasim Mohammed

“…Deaths were not related to the number of RTA ( there is no relationship between deaths and the number of crashes but it depends on the severity of the crashes) and this need improving road safety legislations and putting them into action (speed limits, seatbelt laws, helmet laws) and education of people about the danger of speed and the importance of seatbelt wearing and proper and rapid hospital care. …”
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Research and Construction of Knowledge Map of Golden Pomfret Based on LA-CANER Model by Xiaohong Peng, Hongbin Jiang, Jing Chen, Mingxin Liu, Xiao Chen

“…This promotes the application of smart aquaculture technologies and enables precision farming, ultimately increasing overall industry efficiency.…”
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A Deep Reinforcement Learning Framework for Adaptive Resiliency Enhancement in Smart Power Grids by Boyu Wang, Aliasghar Baziar, Mohammad Reza Askari

“…The proposed framework features a two-layered control architecture that models grid states, actions, and rewards to enable continuous, real-time adaptive control of distributed energy resources, microgrids, and control centers. …”
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Is the NASA nap the solution for sleep inertia in automated driving? Unveiling effects of deep sleep on driving behavior, vigilance and subjective experience by Markus Tomzig, Johanna Wörle, Christina Kremer, Martin Baumann, Alexandra Neukum

“…Regression analyses assessed changes in driving behavior, vigilance, and subjective states in response to varying amounts of deep sleep.With more deep sleep, takeover times and reaction times to auditory cues increased, and driving speed decreased. …”
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Investigation on Dynamic Factors of Railway Steel-Plate–Concrete Composite Beam Bridges With Small and Medium Spans by Jin Di, Yi Su, Yuxuan Han, Jinming Luo, Fengjiang Qin, Rui Yan

“…Resonance is produced when the train travel speed and bridge frequency meet a certain relationship, which in turn significantly increases the DF. …”
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The response characteristics and stability evaluation of vegetated slope under strong wind by Yanlin Liu, Fei Wang, Feng Ji, Lianhua Zhang, Jianjun Zhao, Chen Zheng, Jibin Chen

“…At wind forces ≥ 13 (typhoon: 37.0–41.4 m/s), vegetation exerts a negative influence under the combined action of strong wind loads. (2) Based on the experimentally determined evolution of soil strength parameters, a formula c (v, w) was fitted to express the variation of cohesion with wind speed (v) and moisture content (w). (3) The optimized evaluation model demonstrates increased sensitivity compared to the traditional model, resulting in a 17.88% increase in sliding force and a 10.62–11.64% increase in anti-sliding force. …”
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ANALYSIS OF OPERATION AND RESEARCH OF THE ENERGY CHARACTERISTICS ROTARY DISPERSER by Rudnev S.D., Kozlov M.A., Kryuk R.V.

“…It is found that the dispersion process effectively proceeds up to a value of the multiplicity of processing, when reaching a number of useful consumed power remains practically constant, which does not lead to an increase of fineness, consumption unit power consumed only to move the product to be treated, and further increase the degree of crushing can be achieved by increase the speed of the rotor. …”
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Kinetics of Extraction of Dioscine from Vegetable Raw Materials in Vibrocavitation Homogenizer by E. V. Flisyuk, S. S. Belokurov, I. A. Narkevich, A. N. Shikov, O. M. Flisyuk, D. Yu. Ivkin

“…It was also found that the resistance to mass transfer inside particles increases significantly as it approaches the final stage of the process, and with an increase in the rotor speed, it increases, especially at the initial stage of the process, which is associated with the intensity of cavitation and the weakening of its effect as the process deepens inward particles.Conclusions. …”
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Industrial multi-machine data aggregation, AI-ready data preparation, and machine learning for virtual metrology in semiconductor wafer and slider production by Feiyang Ou, Julius Suherman, Chao Zhang, Henrik Wang, Sthitie Bom, James F. Davis, Panagiotis D. Christofides

“…Smart Manufacturing is rooted in AI, Machine Learned (ML), and Data Synchronized (DS) modeling to tap into invaluable operating data. By making data actionable at larger scales, SM opens new ways to increase productivity, precision, and process performance. …”
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