Analysis of unintentional fatal drowning in Australia 2002-2022: Progress, challenges and data to inform prevention by Lauren Miller, Stacey Willcox-Pidgeon, Justin-Paul Scarr, William Koon

“…Objectives: The purpose of this study was to analyse 20 years of drowning data in Australia, using the Royal Life Saving – Australia National Fatal Drowning Database (NFDD). …”
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Back analysis of geomechanical parameters based on a data augmentation algorithm and machine learning technique by Hui Li, Weizhong Chen, Xianjun Tan

“…We introduce a multi-faceted back analysis approach that combines data augmentation with advanced optimization and machine learning techniques. …”
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Retrospective Multivariate Analysis of Data from Children with Suspected Appendicitis: A New Tool for Diagnosis by Zafer Dokumcu, Bade Toker Kurtmen, Emre Divarci, Petek Bayindir Tamay, Timur Kose, Murat Sezak, Geylani Ozok, Orkan Ergun, Ahmet Celik

“…In this study, the determination of the predictors and the effect of radiological data and developing a new scoring system were aimed. …”
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Multi-source Data-driven Analysis of Deformation and Influencing Factors for Expansive Soil Canal Slopes by ZHANG Yuhan, HU Jiang, LI Xing

“…Furthermore, a self-explaining neural network (SENN) model incorporating an attention mechanism is developed to predict canal slope deformation. The model investigates the deformation characteristics, dominant controlling factors, and evolutionary mechanisms of deep excavated expansive soil slopes, facilitating multi-source data-driven analysis of deformation and its influencing factors. …”
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DORA: Dionaea Observation and Data Collection Analysis for Real-Time Cyberattack Surveillance and Threat Intelligence by Hartinah Hartinah, Andi Syarwani, Ardiansyah Ardiansyah, Irfan Syamsuddin

“…The findings demonstrate that honeypots are not only effective attack detection tools, but also significant sources of intelligence for understanding cyber threat methods and adversary behaviours.Conclusion: This study proposes DORA (Dionaea Observation and Data Collection Analysis), an integrated system that enhances the existing Dionaea honeypot by combining its data with external analysis services like VirusTotal. …”
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GAMYBINĖS LINIJOS, NAUDOJANT DUOMENŲ SURINKIMO SISTEMĄ, EFEKTYVUMO TYRIMAS by Donatas Dervinis

“…Based on these data, mathematical models were developed to calculate efficiency metrics. …”
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The Acquisition of Subject-Verb Agreement in Typically Developing Children: A Corpus-Driven Analysis by Марван Джаррах, Екаб Аль-Шавашрех, Мохаммад Абушарія

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Spatiotemporal Analysis of High-Quality Development and Coordination in Cities Along the Lower Yellow River by Ge Zhai, Maoxin Zhang, Tingting He, Peng Ren

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Development of MongoDB-based Gait System with Interactive Visualization for Clinical Analysis by Rizal Rahman Rizkika, Helisyah Nur Fadhilah, Tanzilal Mustaqim, Rifdatun Ni'mah

“…Therefore, a MongoDB-based gait data management system was developed due to its flexibility in handling unstructured data and scalability. …”
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Agricultural Potential of Polish Voivodships in the Context of Sustainable Development by Iwona Foryś, Joanna Cymerman

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Development of a platform recommending 3D and spectral digitisation strategies by Stefanie Wefers, Ashish Karmacharya, Frank Boochs

“…Spatial and spectral recording of cultural heritage objects is a complex task including data acquisition, processing and analysis involving different technical disciplines. …”
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Developing a multivariable prediction model to support personalized selection among five major empirically-supported treatments for adult depression. Study protocol of a systematic review and individual participant data network meta-analysis. by Ellen Driessen, Orestis Efthimiou, Frederik J Wienicke, Jasmijn Breunese, Pim Cuijpers, Thomas P A Debray, David J Fisher, Marjolein Fokkema, Toshiaki A Furukawa, Steven D Hollon, Anuj H P Mehta, Richard D Riley, Madison R Schmidt, Jos W R Twisk, Zachary D Cohen

“…<h4>Aims</h4>We describe the protocol for a systematic review and individual participant data (IPD) network meta-analysis (NMA) to inform personalized treatment selection among five major empirically-supported depression treatments.…”
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The Evolution of the Research - Development Services at the Regional Level in Romania by Cecilia-Irina RĂBONȚU, Ana-Gabriela BABUCEA

“…The purpose of this paper is to review the literature in the field and to analyze the evolution of the main relevant indicators in describing the level at which R & D services in Romania, and at the regional level, indicators for which there are publicly available statistical data in the official databases. The study, based on fundamental research in the field and the results of numerous bibliographic sources on this topic, uses specific statistical methods of territorial analysis. …”
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Analysis of Batak Cultural Values in Supporting Economic Development in the Perspective of Maqashid Syariah by Alfioni Saragi, Rahmi Syahriza, Purnama Ramadani Silalahi

“…Data analysis techniques include descriptive analysis, which consists of three steps: data reduction, data presentation, and conclusion drawing. …”
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Drivers of entrepreneurship development in South Asia: empirical insights and policy recommendations by Emon Kalyan Chowdhury

“…The study utilizes panel data from various sources covering the period from 2010 to 2023. …”
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Risk Factors for the Development of Silicone Oil Induced Glaucoma: A Retrospective Analysis by T. N. Yurieva, I. M. Koniaeva, I. M. Mihalevich, L. I. Davidova

“…This article presents a retrospective analysis of the medical histories of 400 patients who underwent vitrectomy with SO adjunction and its subsequent removal, analysis of the patient’s anatomical and functional data, and determination of the risk factors for SIG development. …”
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Reliability analysis in curriculum development for social science education driven by machine learning by Rui Mao

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NEED ANALYSIS ON DEVELOPING SKILL-BASED MATERIALS FOR D3 NURSING STUDENTS by Yansyah Yansyah, Dina Rafidiyah, Hafizhatu Nadia

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DIAGNOSIS AND PREDICTION OF CHOLECYSTITIS DEVELOPMENT ON THE BASIS OF NEURAL NETWORK ANALYSIS OF RISK FACTORS by V. A. Lazarenko, A. E. Antonov

“…Purpose. To develop an artificial neural network for diagnosing and predicting the development of cholecystitis based on an analysis of data on risk factors, and to explore the possibilities of its application in real clinical practice.Materials and methods. …”
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The role of immune cells phenotype in neuroendocrine tumors development by Jie Qiao, Yi-Wen Wu, Yuan-You Wang, Jing-Jing Huang, Peng-Fei Shan

“…However, T cells play a crucial role in the development of gastric neuroendocrine tumors (GNETs). …”
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