Study on the catalytic mechanism and water resistance of Cu-Mn-Snx catalyst for CO elimination by Yashengnan Sun, Rongtao Zhu, Gang Bai, Tianyu Xin, Jinyu Li, Xihua Zhou, Wenjing Chang, Jue Wang, Mufeng Xiao

“…The Cu-Mn-Sn catalyst was tested using XPS, FTIR, and a self-made Activity Test Experimental System, with partial data processed using the Avantage software. The results show that Sn increases the number of active sites (Cu+) on the Cu-Mn catalyst and the proportion of surface adsorbed oxygen (Oads) and surface lattice oxygen (Olat) in O 1s, which is the reason for the improved activity of the Cu-Mn-Sn catalyst. …”
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A dimension-enhanced residual multi-scale attention framework for identifying anomalous waveforms of fault recorders by Lixin Jia, Lihang Feng, Dong Wang, Jiapeng Jiang, Guannan Wang, Jiantao Shi

“…This framework first employs the Phase Adaptive Adjustment (PAA) method to address the phase offset problem of original recording data, then uses the Gramian Angle Field method to perform dimensionality expansion on the data processed by PAA, and finally utilizes the Residual Pyramid Squeeze Attention Network (ResPSANet) for identifying power disturbance abnormal waveforms. …”
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Cross-Cultural Education Model Through Multicultural Classrooms : An Ethnographic Study in Secondary Schools by Hikmah Maulani, Mohamad Erihadiana, Uus Ruswandi

“…Data analysis Involves identifying recurring themes, patterns, and ideas within the data, process of comparing data segments to identify similarities and differences, focuses on the stories and experiences shared by participants. …”
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Video Game Engagement: A Passkey to the Intentions of Continue Playing, Purchasing Virtual Items, and Player Recruitment (3Ps) by null Laurence, Asep Hermawan, Innocentius Bernarto, Ferdi Antonio

“…Data collection comes from the results of distributing questionnaires to Twitter users with the self-reporting method. The amount of data processed was 370 respondents. The model was assessed using the partial least square of structural equation modeling. …”
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Modeling and Simulation of Project Management through the PMBOK® Standard Using Complex Networks by Luz Stella Cardona-Meza, Gerard Olivar-Tost

“…Projects that involve complex situations can be described as adaptive complex systems, consistent in multiple interdependent dynamic components, multiple feedback processes, nonlinear relations, and management of hard data (process dynamics) and soft data (executive team dynamics). …”
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Parallel Computing for Efficient and Intelligent Industrial Internet of Health Things: An Overview by Xin Yang, Shah Nazir, Habib Ullah Khan, Muhammad Shafiq, Neelam Mukhtar

“…Industrial Internet of Health Things (IIoHT) is the expansion of the Internet of Health Things (IoHT) which plays an important role in observing, consulting, monitoring, and treatment process of remote exchange data processes. The linkage of computation and interoperability are supported through various intelligent sensors, controllers, and actuators. …”
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Urbanization and nature-based tourism development: A case of tourism corridor in Surakarta-Karanganyar-Magetan by Rahayu Paramita

“…This study employs GIS mapping and secondary data processed with descriptive statistics, as well as Focus Group Discussions (FGD). …”
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Image Edge Detection Algorithm Based on Fuzzy Radial Basis Neural Network by Lin Feng, Jian Wang, Chao Ding

“…The image edge detection algorithm based on fuzzy radial basis fuser can not only speed up the image preprocessing, meet the real-time detection, and reduce the amount of data processed by the upper computer but also can accurately identify five image edge problems including folds and cracks, which has good application prospects.…”
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Beyond the screen: unfolding digital finance usage through a gendered lens during and after COVID-19 by Meenakshi P., Satish Kumar, Sowjanya Shetty

“…The analysis is carried out through pooled logit regression and fairly decomposition technique, with the data processed through STATA-18 software. To this end, India's micro-level data were pooled from the Global Findex Database for the years 2017 and 2021, with a sample size of 3,000 for each year. …”
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A novel deep learning-based 1D-CNN-optimized GRU approach for heart disease prediction by Jini Mol G., Ajith Bosco Raj T.

“…GA methodically optimizes the model’s GRU parameters. The data processed were finally used by the hybrid 1D-CNN-Optimized GRU network to predict cardiovascular illness. …”
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Prediction of end-point phosphorus content of molten steel in BOF with machine learning models by Kang Y., Ren M.-M., Zhao J.-X., Yang L.-B., Zhang Z.-K., Wang Z., Cao G.

“…Four machine learning regression models (Lasso, Random Forest, Xgboost, and Neural Network) were established to predict the end-point phosphorus content of molten steel in the BOF based on raw and auxiliary material data, process parameters, and production quality data. …”
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Street vendors (PKL) household economic sustainability in east Jakarta based on migration status and location trade on time pandemic covid-19 by Beti Nurbaiti, Kemas Ridwan K, Mia Siscawati, Chotib Chotib, I Gusti Agung Ayu Karishma Maharani Raijaya

“…Amount respondents’ study is 420-person street vendors in Jakarta East. Data processed use SPSS with equality regression logistics ordinal. street vendors Which status resident non-risen migrants and non-lifetime migrants are at high economic resilience. street vendors in local government-assisted location chance resilience economy tall than street vendors who are in temporary locations, base/fixed locations, and hawkers). …”
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Effectiveness and Efficiency of Seawater Evaporation Using Traditional Methods and the Innovative Flow Down System in Salt Production by Azi Wibisono Raihan, Ika Nuzula Nike, Giri D. Kartika Ary, Efendy Makhfud, Sri W. Pratiwi Wiwit

“…The method used is Purposive Sampling to get statistical data processed in RStudio. The result of this research is that Flow Down System reduces land and production time compared to the traditional method. …”
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Pengaruh Pelatihan Berprilaku Caring Terhadap Kemampuan Caring Mahasiswa Praktek Profesi Fakultas Keperawatan Unand di RSUP Dr.M.Djamil Padang by Reni Prima Gusty

“…Students were trained for 2 days with bedside teaching methods. Analysis of the data processed using Marginal homogenity test to see the effect of training on kemampun caring Caring Professions School of Nursing Students Practice Unand . …”
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Combination on GNSS precise point positioning and InSAR data fusion to monitor the land subsidence in Taiwan by Ta-Kang Yeh, Tsu-Yu Lee, I-Hsien Lee, Hsuan-Chang Shih, Chieh-Hung Chen, Jiun-Yee Yen, Chuen-Fa Ni

“…The GNSS data were processed using the precise point positioning method, and the results were compared with data processed using the traditional static relative positioning method. …”
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Development of ancient Chinese inscription rubbings knowledge base in the context of cultural communication and art appreciation by Kaiyu Qiu, Cuijuan Xia, QianQian Liu

“…Design/methodology/approach – The paper investigates user needs and current problems on the basis of status quo and summation of extensive service experience; validates the rationality of requirements and user scenarios with user research methods including focus groups, interviews and behavior observations; then designs and develops the technical solution of data process, knowledge base construction and service platform through experimental research methods based on agile project management. …”
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Investigating the Efficacy of Topologically Derived Time Series for Flare Forecasting. I. Data Set Preparation by Thomas Williams, Christopher B. Prior, David MacTaggart

“…A significant database of helicity and winding fluxes and associated time series across 144 active regions is generated using Space-Weather HMI Active Region Patches data processed with the Active Region Topology (or ARTop) code that forms the basis of the time-series and spatial investigations conducted here. …”
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THE IMPACT OF QUALITY IN RESEARCH AND DEVELOPMENT ENVIRONMENTS ON ENTREPRENEURIAL ACTIVITY IN ROMANIA. A COMPARATIVE STUDY by Sorin Romulus BERINDE, Paula Ramona RĂCHIȘAN, Adrian GROȘANU, Alina Beattrice VLADU, Dan Dacian CUZDRIOREAN

“…This quantitative research has been carried out based on data processed by regression analysis extracted from three different sources and covers the time interval 2005-2022. …”
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Using a sharing-platform to prevent a new outbreak of COVID-19 pandemic in rural areas by V. Shcherbak, I. Gryshchenko, L. Ganushchak-Yefimenko, O. Nifatova, V. Tkachuk, T. Kostiuk, V. Hotra

“…FINDINGS: The results showed that the identified factors (medico-demographic special features of Covid-19 virus spread; rural infrastructure to counteract the infection) describe in total 83.24% of the data processed. Specified 4 clusters differ in the level of susceptibility of the population to COVID-19 and infrastructure development: from minimum (33% of the united territorial communities) to maximum - 13% of the united territorial communities. …”
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A Stock Closing Price Prediction Model Based on CNN-BiSLSTM by Haiyao Wang, Jianxuan Wang, Lihui Cao, Yifan Li, Qiuhong Sun, Jingyang Wang

“…The model extracts advanced features that influence stock price through convolutional neural network (CNN), and predicts the stock closing price through BiSLSTM after the data processed by CNN. To verify the effectiveness of the model, the historical data of the Shenzhen Component Index from July 1, 1991, to October 30, 2020, are used to train and test the CNN-BiSLSTM. …”
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