Prognostication of Acute Odontogenic Sinusitis Development of the Maxillary Sinus Based on the Data of the Index of Leukocytes Blood Change by I. O. Pokhodenko-Chudakova, V. O. Kravchenko

“…The purpose is to determine the possibility of prognostication of the of acute odontogenic sinusitis development of the maxillary sinus based on the data of the index of leukocytes of blood change аnd determine its prognostic effi cacy in this nosology. …”
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Important Aspects of the Design of Experiments and Data Treatment in the Analytical Quality by Design Framework for Chromatographic Method Development by Bianca F. G. Passerine, Márcia C. Breitkreitz

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Algorithm development for recognizing human emotions using a convolutional neural network based on audio data by V. V. Semenuk, M. V. Skladchikov

“…As a result of the study, graphs were constructed demonstrating the accuracy of the proposed method.After receiving the initial data of the study, the analysis of the possibilities for improving the algorithm in terms of ergonomics and accuracy of operation was also carried out. …”
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Proactive Data Categorization for Privacy in DevPrivOps by Catarina Silva, João P. Barraca, Paulo Salvador

“…We introduce a framework for Privacy-sensitive Data Categorization (PsDC), which accounts for data inference from multiple sources and behavioral analysis. …”
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Countermeasures for the Development of Data Integration of the Internet Ice and Snow Tourism Industry under the Background of Artificial Intelligence by Hongbo Du, Weibo Sun, Yufeng Jiao, Jialin Li, Lei Liu

“…On the basis of combining tourism Internet service platform and big data marketing experience, creatively propose to create a new development pattern of “one network, three places and one platform” for ice and snow tourism, promote the “Three New Coverage Projects” of the tourism network, and build a new cross-business cooperation mechanism of “Internet + Tourism”; rely on Internet marketing and publicity measures to enhance the development of tourism service integrity and other countermeasures; use Internet thinking to solve the problems of tourism industry development; and provide suggestions for the innovative development of the tourism industry in the ice and snow regions and the entire autonomous region. …”
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ICRSSD: Identification and Classification for Railway Structured Sensitive Data by Yage Jin, Hongming Chen, Rui Ma, Yanhua Wu, Qingxin Li

“…Subsequently, we update the attribute sensitivities through cluster analysis and association rule mining. For semi-canonical data, we calculate attribute sensitivity by using a combination of regular expressions and keyword lists. …”
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A parameterized model for tower crane energy consumption was developed based on theoretical formulation and field data by Fan Zhang, Chunli Zhang, Yan Fu, Jun Liu, Jiarui Bu, Peng Duan, Si Chen

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The Multidimensional Effect of Financial Development on Total Factor Productivity: Evidence from Cross-country Panel Data by Çağatay Vişne, Ramazan Ekinci

“…In this paper, we estimate the impact of financial development on total factor productivity (TFP) using panel data for the years 2002 to 2019. …”
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Exploring impact of digital economy on sustainable urban development by panel data of 30 underdeveloped cities in China by Xiao-ping Bai, Qian-qian Shen

“…Abstract How the digital economy affects sustainable urban development is a worthwhile research problem. Based on the panel data of 30 underdeveloped cities in China from 2011–2020, the Super-SBM model and dynamic QCA (Qualitative Comparative Analysis) method were combined to analyze the complex relationship between the digital economy and sustainable urban development. …”
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Specialist training in general practice: Developments in social-legislation-based support – a data-driven introduction by Rass, Simon, Weber, Charlotte, Gibis, Bernhard

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Visual and motor skills development in preterm and full-term infants: A protocol for longitudinal data collection by Ana Isabel Ferreira, Alice Nunes, Cláudia Silva, Teresa Tomé, Cláudia Quaresma, Carla Quintão

“…Assessments include clinical evaluations, the Bayley Scales of Infant and Toddler Development, and electrophysiological recordings such as visual evoked potentials (VEP), electrodermal activity (EDA), and an ophthalmological screening assessment at 4 months.Two case examples (one full-term, one preterm) are provided to illustrate data collection and application. …”
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Investigating Digital Storytelling as a Tool of Improving/ Developing Information Literacy Skills by Maryam Khodabin, Mohammad Zerehsaz, Somaye Sadat Akhshik, Ghasem Azadi Ahmadabadi

“…Therefore, as a modern tool, it can play an important role in the development of people's information literacy. This research was conducted with the aim of investigating the use of digital storytelling in expanding information literacy.Methodology: The current research was done with a qualitative approach and through content analysis. …”
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Development and Application of SSR Markers for <i>Aquilaria sinensis</i> on the Basis of Whole-Genome Resequencing Data by Yu Chen, Kunlin Wu, Jieru Xu, Shenghe Zhao, Zhihua Tu, Dandan Rao, Beibei Chen, Nanbo Jiao, Jinhui Chen, Xiaona Dong

“…This study systematically developed and validated simple sequence repeat (SSR) molecular markers by using whole-genome resequencing (WGR) data from 60 <i>A. sinensis</i> accessions to elucidate their genetic diversity and population structure. …”
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Predictors of neonatal mortality: development and validation of prognostic models using prospective data from rural Bangladesh by Hasmot Ali, Alain B Labrique, Farhad A Khan, Luke C Mullany, Lee F-S Wu, Saijuddin Shaikh, Kelsey Alland, Keith P West Jr

“…Objective To assess the extent to which maternal histories of newborn danger signs independently or combined with birth weight and/or gestational age (GA) can capture and/or predict postsecond day (age&gt;48 hours) neonatal death.Methods Data from a cluster-randomised trial conducted in rural Bangladesh were split into development and validation sets. …”
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Temporal and Spatial Analysis of Pedestrian Count Data for Thermal Environmental Planning in Street Canyons by Hideki Takebayashi, Taichi Hayakawa

“…A temporal and spatial analysis method was examined using hourly pedestrian count data over one year at more than 100 locations in the street canyon. …”
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Developing a machine learning model with enhanced performance for predicting COVID‐19 from patients presenting to the emergency room with acute respiratory symptoms by Maha Mesfer Alghamdi, Naael H. Alazwary, Waleed A. Alsowayan, Mohmmed Algamdi, Ahmed F. Alohali, Mustafa A. Yasawy, Abeer M. Alghamdi, Abdullah M. Alassaf, Mohammed R. Alshehri, Hussein A. Aljaziri, Nujoud H. Almoqati, Shatha S. Alghamdi, Norah A. Bin Magbel, Tareq A. AlMazeedi, Nashaat K. Neyazi, Mona M. Alghamdi, Mohammed N. Alazwary

“…Abstract Artificial Intelligence is playing a crucial role in healthcare by enhancing decision‐making and data analysis, particularly during the COVID‐19 pandemic. …”
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Comparison of two methodologies for spectra analysis in coincidence neutron activation analysis by Iberê Souza Ribeiro Jr, Frederico Antonio Genezini, Guilherme Soares Zahn

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AUTOMATED ANALYSIS OF BREAKERS by E. M. Farhadzade, A. Z. Muradaliev, T. K. Rafieva, S. A. Abdullaeva

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Method for building an information model specification based on a sensemaking approach to user involvement in the development process by Vyacheslav S. Lapshin, Yuri I. Rogozov, Sergey A. Kucherov

“…The analysis of the applicability of such approaches and methods to the task of involving the user in the process of developing an information data model is carried out. …”
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Health professional’s data management practice in Ethiopia: a systematic review and meta-analysis by Mequannent Sharew Melaku, Bedilu Geremew, Tesema Zewdu, Zemenu Molla, Rukya Yassin, Agmasie Damtew Walle, Lamrot Yohannes

“…An additional 10 articles were excluded due to missing outcome data or unavailable full texts. Ultimately, 7 studies involving a total of 2654 health professionals were included in the meta-analysis. …”
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