Evaluation of nutritional and techno-functional aspects of black soldier fly high-protein extracts in different developmental stages by J.A. Khan, X. Guo, R. Pichner, K. Aganovic, V. Heinz, C. Hollah, S.V. Miert, G.R. Verheyen, A. Juadjur, K.U. Rehman

“…The black soldier fly (BSF) is a potential option for sustainable protein production due to its ability to convert organic waste into high-value biomass efficiently. To maximise its feed, food application, and resource recovery potential, the nutritional composition and techno-functional properties must be analysed in different developmental stages. …”
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Description of Maximally Dissipative Quasi-Differential Operators for First Order by Pembe Ipek Al

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Spatialization of electricity consumption by combining high-resolution nighttime light remote sensing and urban functional zoning information by Siyan Lu, Yue Xiao, Yifan Lu, Jinyao Lin

“…More importantly, urban functional zoning information can be used to distinguish the electricity consumption of various economic sectors at fine scales. …”
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The effects of IT capability and distribution competence on business performance of retailers in Omnichannel by Anh T.D. Nguyen

“…To maintain the effectiveness of business operations, increase customer value and enhance competitive advantage, retailers should generate the efficiency of IT and distribution functions. …”
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Harvesting energy’s worth: an economic assessment of energy at wheat farms by Hamed Rafiee, Omid Karami, Atabak Kazempour Kahriz, Reza Shakeri Bostanabad, Alireza Kermani

“…Then, to obtain the Value of Marginal Product (VMP) of the inputs, the production functions of irrigated and dryland wheat for each province were estimated. …”
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Carissa carandas: A multi-faceted approach to health, wellness, and commerce by Wisha Saeed, Tariq Ismail, Muhammad Qamar, Muhammad Zulqarnain Khan, Naveed Ahmad, Mohammad S. Mubarak, Tuba Esatbeyoglu

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Monitoring of Material consumption for the Production of goods by industrial Enterprises by I. E. Mizikovsky

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Information Systems Quality and Corporate Sustainability: Unpacking the Interplay of Financial Reporting, Artificial Intelligence, and Green Corporate Governance by Nidal Neiroukh, Dilber Çağlar

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Optimizing Edible Sorghum Bowls: Effects of Roasting and Edible Flower Powder Enhancement on Technological, Nutritional, Antioxidant, and Functional Properties by Devatha Manivel, Raajeswari Paramasivam, Swarup Roy

“…The standardized sorghum bowl was analyzed for nutritional value; optical, technological, functional, and mechanical properties; and shelf life, and the results were discussed. …”
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Theoretical Foundations of Digital Content Integrity Expertise by Bobok I.I., Kobozieva A.A.

“… In the context of the rapid development of information technologies, their implementation in the process of functioning of critical infrastructure, in particular energy, of any state is extreme-ly relevant. …”
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Asymmetric reactions of the crude oil and natural gas markets on Vietnamese stock markets by Jassim Aladwani

“…The data were analyzed using vector error correction (VEC) model, impulse response function, variance decomposition test and asymmetric reactions method; the study tries to ascertain the short-term and long-term dynamic relationships between the shocks of the crude oil price and natural gas prices and their effects on the movement of the stock price. …”
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Functional Disability and Psychological Impact in Headache Patients: A Comparative Study Using Conventional Statistics and Machine Learning Analysis by Jong-Ho Kim, Hye-Sook Kim, Jong-Hee Sohn, Sung-Mi Hwang, Jae-Jun Lee, Young-Suk Kwon

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How are vineyards management strategies and climate-related conditions affecting economic performance? A case study of Chilean wine grape growers by Carlos Bopp, Roberto Jara-Rojas, Alejandra Engler, Miguel Araya-Alman

“…An interesting contribution of this study is the identification of TVP functions for land, fertilizers, fungicides, other agrochemicals, labor, and age of vines. …”
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Artificial Intelligence and Artistic Imagination: Revisiting the Cultural Economy of Industrial Revolutions by Octavian-Dragomir Jora, Mihaela Iacob, Vlad I. Roșca, Mihai-Răzvan Nedelcu, Alexandru Florin Preda, Matei-Ștefan Nedef

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Marché foncier et espace social à Mascate, Oman by Belgacem Mokhtar

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Biomarkers of Suicidal Ideation in Depression: Insights From VMHC Analysis and Machine Learning by Wang X, Liu F, Hu X, Zhang Q, Guan X, Wu J, Long X, Lu Z

“…This study explores differences in interhemispheric connectivity between MDD patients with and without SI, aiming to identify imaging biomarkers for suicide risk.Methods: This study included 48 SI patients and 44 non-SI patients. VMHC values were calculated to assess interhemispheric functional connectivity. …”
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Predicting EHL film thickness parameters by machine learning approaches by Max Marian, Jonas Mursak, Marcel Bartz, Francisco J. Profito, Andreas Rosenkranz, Sandro Wartzack

“…We ultimately demonstrate that artificial neural networks can predict the locally-resolved film thickness values over the contact domain 25-times faster than FE-based EHL simulations (R 2 values above 0.999). …”
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GPU Accelerated Trilateral Filter for MR Image Restoration by Suthir Sriram, Nivethitha Vijayaraj, T. Srilekha, M. Praveena, Thangavel Murugan

“…The restoration of medical images such as MRI scans holds essential value for better diagnosis and improved treatment accuracy. …”
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Enhanced Deep Autoencoder-Based Reinforcement Learning Model with Improved Flamingo Search Policy Selection for Attack Classification by Dharani Kanta Roy, Hemanta Kumar Kalita

“…The enhancement of deep reinforcement learning is made by associating a deep autoencoder (AE) and an improved flamingo search algorithm (IFSA) to approximate the Q-function and optimal policy selection. After feature representations, a support vector machine (SVM) classifier, which discriminates the input into normal and attack instances, is employed for classification. …”
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Cross-Architecture Vulnerability Detection Combining Semantic and Attribute Feature by LI Kun, LI Bin, ZHU Wenjing, ZHOU Qinglei

“…Moreover, the distance of the function-level embedding vectors is calculated to determine whether the two binary functions to be detected are similar. …”
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