Process simulations of fiber reinforced polymer composites towards AI ages by ZHOU Yubo, LI Min, WANG Shaokai, GU Yizhuo, TAO Fei, CHEN Xiangbao, ZHANG Zuoguang

“…Therefore，traditional process simulation based on physicochemical mechanisms can provide a large amount of reliable data for data-driven ML simulation，and then through AI，more quantitative models describing the composite process can be established to expand the computable scope of process simulation. …”
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Classification and Recognition of Fluvial Geomorphic Units Based on Process and Form Relationship by YU Zicheng, DENG Rui, ZHANG Jing, ZHAO Jinyong, DING Yang, LI Xuan

“…Clarifying the types of fluvial geomorphic units and their spatial distribution can better recognize and understand rivers.In the face of problems such as the imperfection and difficult implementation of the existing classification and recognition methods of geomorphic units in China,the mature classification systems of Fryirs and Brierley geomorphic units in other countries were summarized,and the process and form relationship of different geomorphic unit types was sorted out.The Daning River,a first-level tributary of the Yangtze River,was taken as a practical case.The classification and recognition process of fluvial geomorphic units based on the process and form relationship was formed,and the spatial distribution of geomorphic units was defined by combining with the field survey data of air,sky,and ground.The classification system of Fryirs and Brierley geomorphic units was divided into four categories:alluvial and erosional bedrock and boulder units,mid-channel sedimentary units,riparian sedimentary units,and alluvial and erosional fine-grained units,including 42 types of terrace falls,deep pools,and point beaches.The types of geomorphic units included in the confluence section of the Lianghekou area of the Daning River and Houxi River were tandem plunge,rapid beach,slippery water,deep pool,shallow beach,slow flow area,side beach,and heart beach,accounting for 16.43%,21.51%,7.21%,20.45%,16.90%,13.59%,and 3.91% of the studied river section,respectively.Quantitative analysis of the spatial distribution of geomorphic units can provide theoretical support for the restoration of damaged habitats and habitat assessment in the river section.…”
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Research on Data-driven PET-CT Gating Imaging Method by XU Shidong1, 2, 3, 4, SUN Xiaoli1, 3, 4, , LIU Shuangquan1, 3, 4, ZHENG Yushuang1, 3, 4, LI Mohan1, 3, 4, WEI Cunfeng1, 2, 3, 4

“…The PD-PCA method can process the acquired partial data during the data acquisition process, resulting in more accurate heartbeat signals, improves the accuracy of cardiac gating grouping. …”

The process of student engagement in school health promotion: a scoping review by Julia C. Kontak, Caitlyn Macrae, Hilary A. T. Caldwell, Becky Feicht, Stephanie Heath, Camille L. Hancock Friesen, Sara F. L. Kirk

“…Descriptive analysis was conducted for quantitative data, and content analysis was employed for qualitative data. …”
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Inflectional Changes of Double Marked Form: Evidence from a Corpus Study of English Verbal System by Basima Othman Mahmood

“…Descriptive and statistical analyses were conducted to test the importance of the difference in the results. The results of the data in this study suggested that there is a correlation between high word frequency and these irregularization processes. …”
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Understanding the flowering process of litchi through machine learning predictive models by SU Zuanxian, NING Zhenchen, WANG Qing, CHEN Houbin

“…Accurately predicting the development of the inflorescence and the process of flowering duration, as well as correctly understanding the quantitative relationship between the flowering phenology and the meteorological factors, is very important for the high-yield and quality production of litchi. …”
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Study of the Process of Calcium Sulfide-Based Luminophore Formation from Phosphogypsum by Marina A. Egorova, Daniil I. Monastyrskiy, Oleg A. Medennikov, Nina P. Shabelskaya, Zlatislava D. Khliyan, Vera A. Ulyanova, Sergey I. Sulima, Elena V. Sulima

“…The synthesized materials are characterized by X-ray phase analysis, X-ray photoelectron spectroscopy, elemental analysis, and calcium sulfide qualitative and quantitative content in the samples. It is shown that in the reduction process at the phase contact point, crystal grids are formed with a significant number of defects, which contributes to the convergence of some of the energy levels of the calcium cation and sulfide anion, facilitating the transitions of electrons from the valence zone to the core zone and the formation of luminescence centers (cross-luminescence). …”
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On using the factor analysis to study the geodynamic processes of formation of the Greater Caucasus by F. L. Yakovlev, E. S. Gorbatov

“…The proposed approach to this problem of geodynamics is specific: it aims at solving the inverse (rather than direct, which is common) problem of identifying the processes that led to the occurrence of a natural structure characterized by quantitative indicators varying within a certain range of values. …”
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Quantifying the process of lake encroachment from the perspective of satellite remote sensing by Wei Jiang, Qingke Wen, Shuo Liu, Lingjia Liu, Gan Luo, Shiai Cui, Weichao Sun, Denghua Yan

“…The successful implementation of this case study shows that this quantitative framework for lake encroachment processes integrating multisource satellite remote sensing can be used for the precise supervision and management of lakes.…”
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Dataset of apples for grading by sweetness, ripeness and varietyMendeley Data by Shilpa Gaikwad, Sonali Kothari, Ignisha Rajathi G

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A cost and community perspective on the barriers to microbiome data reuse by Julia M. Kelliher, Julia M. Kelliher, Leah Y. D. Johnson, Francisca E. Rodriguez, Jaclyn K. Saunders, Marie E. Kroeger, Buck Hanson, Aaron J. Robinson, Winston E. Anthony, Marc W. Van Goethem, Anders Kiledal, Ahmed A. Shibl, Amanda Araujo Serrao de Andrade, Cassandra L. Ettinger, Chhedi Lal Gupta, Chhedi Lal Gupta, Chris R. P. Robinson, Cristal Zuniga, Cristal Zuniga, Daniel Sprockett, Douglas Terra Machado, Emilie J. Skoog, Iyanu Oduwole, Jason A. Rothman, Kaelan Prime, Katherine R. Lane, Leandro Nascimento Lemos, Lisa Karstens, Mark McCauley, Mitiku Mihiret Seyoum, Moamen M. Elmassry, Mustafa Guzel, Reid Longley, Simon Roux, Thomas M. Pitot, Emiley A. Eloe-Fadrosh

“…We also explored the cost constraints of data reuse at each step of the data reuse process to better understand “pain points” and to provide a more quantitative perspective from sixteen active researchers. …”
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Benchmarking <i>K</i>_DP in rainfall: a quantitative assessment of estimation algorithms using C-band weather radar observations by M. Aldana, M. Aldana, S. Pulkkinen, A. von Lerber, M. R. Kumjian, D. Moisseev, D. Moisseev

“…<p>Accurate and precise <span class="inline-formula"><i>K</i>_DP</span> estimates are essential for radar-based applications, especially in quantitative precipitation estimation and radar data quality control routines. …”
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Detection of the Pigment Distribution of Stacked Matcha During Processing Based on Hyperspectral Imaging Technology by Qinghai He, Zhiyuan Liu, Xiaoli Li, Yong He, Zhi Lin

“…By integrating a hyperspectral imaging system into the real-world environment, operators can monitor pigment levels in real time and thus dynamically adjust processing parameters based on real-time data. This study enhances pigment detection efficiency in tea processing, supports process optimization, and aids in quality control.…”
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PRACTICE GUIDELINES FOR THE USE OF STANDARDS FOR DESIGN OF INTERACTIVE SYSTEMS IN TERMAL IMAGING PROCESSING TASKS by A. Y. Tsunikov

“…According to the results of theoretical analysis of the current state of the problem of data processing automation of noisy and distorted IR images revealed that the image processing procedure is an indispensable component of the total signal processing procedure in the chain of data transformations from its registration photodetectors to the presentation to the operator, so the lack of standardized quantitative criterion imaging quality to solve practical problems of modern optoelectronic instrument makes it especially urgent to develop treatment algorithms thermal images with ergonomic requirements for computer systems. …”
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Pedagogic natural language processing resources for L2 education: Teachers’ perceptions and beliefs by Carlos Ordoñana-Guillamón, Pascual Pérez-Paredes, Pilar Aguado-Jiménez

“… Pedagogic natural language processing resources (P-NLPRs) are a group of online technologies that aid teaching practices and hold the potential to enable Data-Driven Learning approaches by providing teachers and students with linguistic information. …”
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Business driven data cross border risk mechanism research by RONG Jingfeng, CHEN Siyu, WANG Yiyang, NIU Jun, LIU Xujie, ZHOU Anshun, FU Anmin, CAO Chunjie, ZHANG Yuqing

“…In response, a business-driven approach was proposed to analyze cross-border data risk mechanisms. Firstly, Petri nets were emploied to abstract business processes and collect process data. …”
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The Russian Constitution of 1993 and the Constitutionalization of Federal Legislation: Data Analysis by S. Popova, A. Yanik

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IMPLEMENTATION OF THE SLUDGE BIOTIC INDEX FOR CONTROL AND OPTIMIZATION OF THE BIOLOGICAL TREATMENT PROCESS by Valentina Iurchenko, Svitlana Tkachenko

“…The Sludge Biotic Index is a tool for quantitatively evaluating the functionality of sludge, allowing for monitoring and detection of critical conditions that may affect the quality of wastewater treatment. …”
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The Influence of Knowledge, Motivation, and Support and Facilities on the Interest of Teachers of SMP Negeri 8 Jayapura in Publishing Publications: A Quantitative Approach to Ident... by Virman Virman

“…A 5-point Likert scale was used in the questionnaire used to collect the data. Evaluation of the measurement model, structural model, and hypothesis testing were all part of the data analysis process utilizing Smart PLS 4. …”
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Risk Assessment of International Seabed Mining Implementing the Analytic Hierarchy Process by Xinyu Ma, Yejian Wang, Kehong Yang, Jinrong Li, Yan Li, Dongsheng Zhang, Rong Wang, Yinxia Fang

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