Recommendations to promote the digital healthcare transformation in the clinical practice: findings from an international consensus development method by Alessandro Galazzi, Federico Fonda, Stefania Chiappinotto, Linda Justi, Morten Sønderskov Frydensberg, Randi Lehmann Boesen, Mirna Macur, Marc de San Pedro, Elisenda Reixach Espaulella, Alvisa Palese

“…Results Ten recommendations classified into three main domains were validated: (a) encouraging healthcare professionals to welcome the digitalization of the workplace (three recommendations); (b) ensuring basic/advanced and general/specific competencies (four recommendations); and (c) offering technical and organizational support (three recommendations). …”
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Model of volunteering in the IDEF0 methodology by L. V. Pleskach

“…The relevance of the research is determined by the development of civil society in Russia, expressed, in particular, in the active participation of citizens in the volunteer movement to solve socially significant problems together with the state, business and non-profit organizations, whose participation is not limited only to regulatory regulation or financial support for volunteeringThe need to solve this issue determined the research problem, which is the insufficient systematization of factors influencing volunteer activity to determine ways of interaction of various subsystems of society with this process, as well as identifying controlling factors.The goal of the research is to build a model that reflects the mechanisms of interaction between the subsystems of society and volunteer activities related to its resource provision, goal setting, results and, in particular, social regulators.The main research method is the analysis of existing scientific views on volunteering in the context of the IDEF0 methodology.The result of the research is a model of volunteer activity developed using a systematic approach, which, unlike existing ones, allows us to streamline, group and classify the processes of goal setting, evaluation of results, resource provision of volunteer activity, and also to identify factors of social regulation.The key conclusions: the model constructed by the author illustrates the differences between control and resource factors, defines the necessary set of conditions for the implementation of volunteer activities, allows us to assess the features of participation in volunteer activities of both the state, business and non-profit sector, and society as a whole.…”
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Use of Bayesian Networks to Analyze Port Variables in Order to Make Sustainable Planning and Management Decision by Beatriz Molina Serrano, Nicoleta González-Cancelas, Francisco Soler-Flores, Samir Awad-Nuñez, Alberto Camarero Orive

“…In the current economic, social and political environment, society demands a greater variety of outcomes from the public logistics sector, such as efficiency, efficiency of managed resources, greater transparency and business performance. …”
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Multidimensional Evaluation Framework and Classification Strategy for Low-Carbon Technologies in Office Buildings by Hongjiang Liu, Yuan Song, Yawei Du, Tao Feng, Zhihou Yang

“…It also establishes a replicable decision-support framework for decarbonizing office and public buildings in cities, thereby supporting China’s “dual carbon” goals and contributing to global carbon mitigation efforts in the building sector.…”
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Critical Factors Affecting Trust in the Wine Supply Chain in Greece: A Grey DEMATEL Approach by Eleni-Efthymia Psychogiou, Giannis T. Tsoulfas

“…Stakeholders will have the necessary information to support their decisions and prioritize their objectives, aiming at improving the whole supply chain.…”
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Hybrid Machine Learning-Based Multi-Stage Framework for Detection of Credit Card Anomalies and Fraud by Hatoon S. Alsagri

“…The proposed framework utilizes a multi-stage classification system that employs multiple classifiers, i.e., logistic regression, support vector machine (SVM) XGBoost, Random Forest, K-Nearest Neighbors (KNN), and Deep Neural Network (DNN). …”
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Automated Rooftop Solar Panel Detection Through Convolutional Neural Networks by Simon Pena Pereira, Azarakhsh Rafiee, Stef Lhermitte

“…Transforming the global energy sector from fossil-fuel based to renewable energy sources is crucial to limiting global warming and achieving climate neutrality. …”
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ECONOMIC DILLEMMAS OF SMART GRID DEVELOPMENT: ILLUSIONS, REALITIES AND PROSPECTS by I. V. Danilin

“…But the demand for an innovative transformation of the power sector and for innovative effects remains significant. …”
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Urban Transformation Towards Premature Obsolescence Of Buildings by Beatrice Stolz, Jiajia Li, Steffen Wellinger

“…These results are discussed alongside urban planning and densification strategies, offering policy insights and supporting a contextualised approach to circular development. …”
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An overview of the elemental and functional content of the health indicators system as an economic category by Vitaliia Koibichuk, Agnieszka Jakubowska, Serhii Drozd, Anastasiia Sydorenko

“…The findings showed that the global COVID-19 pandemic changes the legislation support of health care. Besides, the healthcare guarantees program ensures transparent government support in the medical sector of Ukraine. …”
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Person Recognition from Gait Analysis for Smart Spaces by using MLP-based DNN model by Cüneyt Yücelbaş

“…It is thought that the success of the study can provide important perspective support to new studies for smart fields in the literature.…”
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The role of criminal justice in enhancing punitive measures for sports-related offenses: a multivariate comparative study by Ahmed Mustafa Ali

“…In contrast, coherent rules and policies support both deterrence and rehabilitation. Cultural trust and institutional legitimacy often outweigh the severity of penalties in influencing outcomes. …”
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Carbon reduction and nuclear energy policy U-turn: the necessity for an international treaty on small modular reactors (SMR) new nuclear technology by Chinenye Nriezedi-Anejionu

“…As a result, many countries have re-classified nuclear energy as a green energy to encourage investments and developments in this sector. …”
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Caracterización de fincas y estrategias para mejorar productividad del sistema producción cacao en los municipios de Betulia y Zapatoca, Colombia by Hector Gregorio Mejia Rueda, Gladys Montañez Acevedo, César Villamizar Quiñonez

“…Due to the low cocoa production in this region, the need arose to conduct this research to support decision-making regarding approaches and initiatives that contribute to improving cocoa crops and production in this sector. …”
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High-resolution mapping of orchard distribution across Italy by Francesco Lodato, Ryan Jayne, Marco Santonico, Maurizio Pollino, Flavio Bellino, Laura De Gara, Bruno Basso

“…By increasing the granularity of these subclasses in a LULC coarse dataset, this approach provides improved support for agricultural management, landscape planning, and related sectors, benefiting agricultural authorities, research institutions, and farmers. …”
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What Strengthens Social Sustainability in Logistics in the Age of Industry 4.0? Analysis and Modelling of the Enablers by Vijay Prakash Sharma, Chirag Malik, Surya Prakash, Ranbir Singh

“…Managing the logistics sector from a sustainability perspective represents an important challenge, which is even more difficult to practice under Industry 4.0 technologies regime. …”
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Turkish Lira Banknote Classification using Transfer Learning and Deep Learning by Mirsat Yeşiltepe, Harun Elkıran, Jawad Rasheed

“…Such systems facilitate smooth international transactions and support the finance sector in dealing with diverse currencies. …”
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Strengthening climate and health adaptation strategies to combat cholera in Angola and beyond by Abdulrakib Abdulrahim, Valdemiro Amilton Rafael, Bashar Haruna Gulumbe, Victor Abiola Adepoju, Safayet Jamil

“…This can be achieved through wide-ranging support and funding from global communities, countries, donors, and the private sector [8] . …”
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Spatial analysis of drought vulnerability in cocoa agroforestry systems across the Ghana-Togo border by Afi Amen Christèle Attiogbé, Enoch Bessah, Emmanuel Quansah, Udo Nehren, Sampson K. Agodzo

“…These findings are relevant to support drought resilience strategies in the cocoa sector aiming to prioritise interventions and maximise cocoa productivity per drought vulnerability category zone.…”
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Detection of Valvular Heart Diseases From PCG Signals Using Machine and Deep Learning Models: A Review by Ayappasamy Kannan, Manob Jyoti Saikia, Sushant Kumar, Sumit Datta

“…Artificial intelligence (AI) predictions are widely used to address challenges in the heart health sector, such as providing clinical decision support. …”
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