6-Bromo-9,9-diethyl-N,N-diphenylfluoren-2-amine by Themmila Khamrang, A. Kannan, C. Ponraj, Madhukar Hemamalini, G. Jerald Maria Antony, Dhandayutham Saravanan

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Bis(4,4′-bipyridin-1-ium) cis-bis(1,2-dicyano-2-sulfidoethene-1-sulfinato-κ2S,S′)platinate(2−) by Claire E. Welton, Eric W. Reinheimer, Bradley W. Smucker

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4,4-Dimethyl-2-phenyl-4,5-dihydropyrrolo[2,3,4-kl]acridin-1(2H)-one by Izarul Islam, Pijush Kanti Roy, Ennio Zangrando, Pran Gopal Karmaker, Harendra Nath Roy

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4-Hydroxy-N,N-diisopropyltryptammonium hydrofumarate by Marilyn Naeem, Andrew R. Chadeayne, James A. Golen, David R. Manke

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2-Methyl-4-thiocyanatoaniline by Erik de Lange, Eric Cyriel Hosten, Richard Betz

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(Nitrito-κO)(nitro-κN)(nitrosyl-κN)bis(triphenylphosphane-κP)rhodium(III) by Daniel R. Albert, Michael Gau, Edward Rajaseelan

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4-Chlorocurcumin by Phuong-Truc T. Pham, Mamoun M. Bader

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2-Amino-5-oxo-4-(thiophen-2-yl)-5,6,7,8-tetrahydro-4H-chromene-3-carbonitrile by Carren Nyapola, Sizwe J. Zamisa, Eric M. Njogu, Bernard Omondi

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Fatigue properties of titanium alloys disclosed in NIMS fatigue data sheets by Yoshiyuki Furuya, Hideaki Nishikawa, Hisashi Hirukawa, Nobuo Nagashima, Etsuo Takeuchi

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Molecular Mobility of Different Forms of Ketoprofen Based on DFT Calculation Data by Kapitolina A. Logacheva, Alexander V. Belushkin, Polina A. Gergelezhiu, Alexander B. Eresko, Sergey N. Malakhov, Elena V. Raksha, Ludmila I. Savostina, Dorota M. Chudoba

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Comparing Static Analysis of Earth Dam Strength with Space Monitoring Data by Salyamova Klara, Tashmatov Komiljon, Nishonov Nematilla, An Ekaterina

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Transformation of the Agricultural Sector in Sulawesi Island: A Panel Data Approach by Lestari Gita Nur'aini, Teguh Endaryanto, Muhammad Irfan Affandi

“…Keywords: economic transformation,  fixed effect model, panel data regression, sectoral GDP contribution, structural shift …”
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Extracting multi-way chromatin contacts from Hi-C data. by Lei Liu, Bokai Zhang, Bokai Zhang, Changbong Hyeon

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Realising value from big data analytics: The process of affordance actualisation by Firdous Mohd Farouk, Christophe Schinckus, Sandra Smith

“…Guided by affordance actualisation theory, this article uses a critical realist case study approach to examine BDA affordance actualisation in a Malaysian-owned regional bank. Data collection involved an online survey, semi-structured interviews, and archival reviews. …”
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Exploring deep generative models for improved data generation in hypertrophic cardiomyopathy by Swarajya Madhuri Rayavarapu, Gottapu Sasibhushana Rao

“… Data generation strategies are essential for addressing the challenge of limited training data in deep learning-based medical image analysis, particularly for hypertrophic cardiomyopathy (HCM) using magnetic resonance imaging (MRI). …”
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A Data-Driven Assessment of Redesign Initiatives in Financial Management Processes by George Tsakalidis, Kostas Vergidis

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Database Systems in the Big Data Era: Architectures, Performance, and Open Challenges by Elias Dritsas, Maria Trigka

“…The classification of databases based on data models, deployment strategies, scalability mechanisms, and consistency models is explored in depth, providing a structured framework for understanding their diverse capabilities. …”
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Adaptive dynamic prediction model of mining subsidence aided by measured data by Yuanfei Chen, Jianfeng Zha, Lei Wang

“…In response to the limitations of traditional time function and parameter models in adapting to the dynamic changes of actual underground mining activities—resulting in low subsidence prediction accuracy—this paper presents an adaptive prediction model for dynamic subsidence supported by measured data and developed through programming. This model utilizes historically measured data on surface subsidence to derive optimal parameters for each historical period. …”
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Short-term prediction of trimaran load based on data driven technology by Haoyun Tang, Rui Zhu, Qian Wan, Deyuan Ren

“…According to the machine learning theory, a short-term prediction method towards trimaran loads is studied by using an optimized data-driven model. In the research, the monitoring data from a trimaran model test is applied for the training and testing of long short-term memory (LSTM) neural network. …”
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On the Firmness Code Noising to the Statistical Analysis of the Observable Data of Repeated Repetition by V. M. Deundyak, J. V. Kosolapov

“…We investigate the firmness of code noising to the statistical analysis of the evesdropped messages of repeated repetition. We give a structural description of the model of secured data transmission and construct an information analytical model of the observer. …”
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