Challenges in Exercising the Right to Appeal – The Case of Slovenian Administrative Consultation by Polonca Kovač

“…Findings: Administrative appeal serves multiple functions, from protecting the rights of the parties to ensuring consistent sector-specific legislation implementation. …”
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Life cycle assessment of construction and demolition waste upcycling: A critical review of studies from 2010 to 2025 by Ying Chen, Yifu Ou, M. Shadi Mohamed, Zhikang Bao

“…Upcycling construction and demolition waste (CDW) not only enhances material performance and functional value, but also offers environmental co-benefits, thereby promoting a circular economy within the construction industry. …”
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Optimization of Preparation Technology and Component Analysis of Ziziphi spinosae semen Formula Beverage by Yaonan CHEN, Lulu DONG, Yiran HENG, Hongyu LI, Yan YAN, Chenhui DU

“…To explore the nutritional value of Ziziphi spinosae semen (ZSS), the preparation process of a ZSS formula beverage was optimized, and a component analysis of the optimized formula was conducted to enhance the quality and functionality of the beverage. …”
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Codesign with citizens to prevent cardiometabolic diseases in disadvantaged neighbourhoods: an interview study on needs and priorities among stakeholders in Sweden by Meena Daivadanam, Helle Mølsted Alvesson, Mats Martinell, Hedda Ottesen, Laran Matta, Jonas Idevall Hagren, Pia McAleenan

“…Additionally, the persistence of a siloed system structure of organisations and the risks associated with accessing target populations through local intermediaries added to the challenges.Conclusion This study highlights the lack of integration of organisational values and functions within and across organisations, hindering cross-sector collaboration and citizen engagement in prevention and health promotion activities. …”
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Key directions of the Russian economy innovative development with the innovative activity practice of the integrated corporate structures by F. I. Shamhalov, R. V. Sizov

“…ARTICLE RETRACTEDThe article deals with the problems and the key directions of The article deals with the problems and key directions of innovative development of the Russian industry in connection with the need to reduce the dependence of the national economy on the situation on world commodity markets, as well as to create the conditions and incentives for the introduction and modern technologies development, improving energy and environmental efficiency of the economy and productivity for the development of economic sectors and industries, producing goods with high added value for the implementation of innovative projects and in general - to upgrade the socio-economic system of the country.The following statement is given: the development of innovative high-tech and knowledge-intensive industries must ensure import substitution products at the first stage, primarily in the militaryindustrial complex, and in the future - export-oriented competitive product.The article analyzes the experience of innovative activity of the integrated corporate structures with the participation of the state in the following areas: the integration of the industrial and financial capital; the concentration of capital (through the merger and acquisition of enterprises, strategic alliances); diversification of forms and fields of activity; globalization of activities (creation of subsidiaries in the most attractive countries and working on promising markets); capital internationalization (through the creation of transnational companies).On the basis of generalization of global corporate management experience in the state corporations the article analyzes key conditions and factors that determine the efficiency of the state-owned companies as a whole: a clear statement of goals and objectives of the state as the owner, whose interests go beyond the usual business purposes; fixing of these goals and objectives in the regulations, in the concepts and programs of long-term socioeconomic development of the country, in special agreements between the government and public sector enterprises, as well as in the statutes, in the policy and budgetary documents of state corporations; the creation of state corporations administration system that allows to carry out the separation of the control and management functions, to ensure coherence and consistency of the implementation of the asset management policy, the uniformity of the rules of management of state property on the basis of common rules; harmonization of interests of the state and private investors, their documentary fixation (for corporate plans, agreements between the parties, etc.) in order to limit undue state interference in the activities of state-owned companies, on the one hand, and protection from lobbying strain - on the other hand; increasing business transparency, which is the foundation of good governance; the establishment of effective operational management systems, including goal setting and planning, reporting, monitoring, control and evaluation of companies, risk management and information disclosure.…”
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Numerical thermodynamic-economic study and machine learning-based optimization of an innovative biogas-driven integrated power plant combined with sustainable liquid CO2 and liquid... by Ruijia Yuan, Fan Shi, Azher M. Abed, Mohamed Shaban, Sarminah Samad, Ahmad Almadhor, Barno Abdullaeva, Mouloud Aoudia, Salem Alkhalaf, Samah G. Babiker

“…The optimal outcomes reveal the mentioned objective functions' values at 47.22 %, 58.73 M$, and 33.53 $/GJ, respectively. …”
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The Interaction between the Plane Wave and the Plate with Limited Height in Soil by N.A. Lokteva, V.N. Paimushin, D.O. Serdyuk, D.V. Tarlakovskii

“…To solve this task, all functions have been expanded in trigonometric series that allowed to obtain potential values in the coefficients of the series. …”
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Prediction of depressive disorder using machine learning approaches: findings from the NHANES by Thien Vu, Research Dawadi, Masaki Yamamoto, Jie Ting Tay, Naoki Watanabe, Yuki Kuriya, Ai Oya, Phap Ngoc Hoang Tran, Michihiro Araki

“…SHAP (SHapley Additive exPlanations) values were used to identify the critical risk factors and interpret the contributions of each feature to the prediction. …”
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Machine learning-driven prediction of risk factors for postoperative re-fractures in elderly OVCF patients with underlying diseases: model development and validation by Bao Qi, Kai Kong, Qingquan Wu, Lu Zhang, Wei Wei, Chunyang Meng, Hong Wang, Hong Wang, Qingwei Li, Qingwei Li

“…Six ML models [Random Forest (RF), XGBoost, support vector machine (SVM), etc.,] were trained and validated. …”
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Ganoderma Disease in Oil Palm Trees Using Hyperspectral Imaging and Machine Learning by Chee Seng Kwang, Siti Fatimah Abdul Razak, Sumendra Yogarayan, M. Z. Adli Zahisham, Tze Huey Tam, M. K. Anuar Mohd Noor, Haryati Abidin

“…SVM with radial basis function (RBF) and polynomial kernels show the second highest performance, attaining 91.67% accuracy, 83.33% sensitivity, and 100% specificity. …”
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Machine learning enhanced ultra-high vacuum system for predicting field emission performance in graphene reinforced aluminium based metal matrix composites by Sunil Kumar Pradhan, Subhayu Kabiraj, Shivin Kumar Gupta, Abhishek Singh, Padmakar G. Chavan, Shubham S. Patil, Trilok Nath Pandey

“…In Stage 1, datasets for pure aluminum, 0.5 wt% and 1.0 wt% graphene reinforced aluminium composites were used to train various ML models, categorized into five baskets: Decision tree-based, Support Vector models, Neural networks, Bayesian Models and Statistical Models. …”
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Nanoengineered polyaniline/carbon black VXC 72 hybridized with woven abaca for superior electromagnetic interference shielding by Martin Guillermo C. Fernandez, Muhammad Luthfi Hakim, Zufar Alfarros, Gil Nonato C. Santos, Muhammad Akhsin Muflikhun

“…This study investigates the electromagnetic (EM) shielding properties of Polyaniline (PAni)-functionalized woven abaca fibers, reinforced with Carbon Black (CB) VXC 72, in the ultrahigh-frequency (UHF) range (500–4500 MHz), as determined using Vector Network Analyzer (VNA). …”
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Multiparametric Investigation of Chemically Treated and Untreated Sugarcane Bagasse Fiber-Reinforced Epoxy Composites With Wood Apple Shell as Filler: From Waste to Green Composite by Vinita Sharma, null Priyanka, Minakshi Verma, Deepak Kumar, Anu Gupta

“…These findings have the potential to bring value-added applications in sectors of automation, interior designing, and packaging.…”
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Explaining the Comprehensive Human-To-Human Marketig System in the Health Tourism Industry by Ali Pourang, Meysam Shirkhodaie, Mahmood Yahyazadeh far, Mohsen Alizadeh San, Masoomeh Tavangar

“…Micro-Level Management At the micro level, the system prioritizes operational excellence and customer experience at the service provider level. Key functions include: Value Network Transformation: Embedding human-centricity, empathy, and co-creation in organizational culture, countering dehumanization from digitalization to maintain meaningful interactions. …”
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The futures for regenerative agriculture: insights from the organic movement and the tussle with industrial agriculture by Tatenda Mambo, Guillaume Lhermie, Guillaume Lhermie

“…While the academic literature has cataloged various approaches to defining RA, each definitional approach carries with it a relative concern for its likelihood for co-optation and the potential transformative power it can have within the sector. As the industrial agrifoods sector is taking interest in the field, lessons from the organic movement are worth highlighting. …”
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Advanced DFE, MLD, and RDE Equalization Techniques for Enhanced 5G mm-Wave A-RoF Performance at 60 GHz by Umar Farooq, Amalia Miliou

“…Their performance is measured regarding error vector magnitude (EVM) values before and after equalization for different optical fiber lengths and modulation formats (QPSK, 16-QAM, 64-QAM, and 128-QAM) and shows a clear performance improvement of the output signal. …”
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RETRACTED ARTICLE: NR3C2 affects the proliferation and invasiveness of colon cancer cells through the Wnt/β-Catenin signaling pathway by Ke Nie, Zhong-Jiang He, Ling-Jun Kong

“…Furthermore, colon cancer cell models overexpressing NR3C2 and with knockdown NR3C2 were constructed by lentiviral vector transfection. Cell Counting Kit-8 assay, transplantation of tumors in nude mice and transwell assays were used to examine the proliferation, migration and invasion of colon cancer cells. …”
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Machine learning identification of key genes in cardioembolic stroke and atherosclerosis: their association with pan-cancer and immune cells by Tianxiang Zhang, Chunhui Yuan, Mo Chen, Jinjiang Liu, Wei Shao, Ning Cheng

“…Gene ontology and Kyoto encyclopedia of genes and genomes analyses were performed to explore the functions of common FR-related DEGs (FRDEGs). Two machine learning algorithms, Least Absolute Shrinkage and Selection Operator (LASSO) regression and Support Vector Machine Recursive Feature Elimination (SVM-RFE), were used to screen for overlapping FRDEGs in CS and AS. …”
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AI in Medical Questionnaires: Innovations, Diagnosis, and Implications by Xuexing Luo, Yiyuan Li, Jing Xu, Zhong Zheng, Fangtian Ying, Guanghui Huang

“… This systematic review aimed to explore the current applications, potential benefits, and issues of artificial intelligence (AI) in medical questionnaires, focusing on its role in 3 main functions: assessment, development, and prediction. …”
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Optimal Vibration Fields in Problems of Modeling Dynamic States of Technical Objects by A. V. Eliseev, N. K. Kuznetsov

“…There, A — matrix mapping the operator of conditions to the shape of the vibration field at control points; b — vector of values of vibration field characteristics; “–” above y meant the vibration amplitude of the steady-state component of the coordinate. …”
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