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Found 6427 publications

Mapping the Climate–Water–Health Nexus Across African Climatic Regions (2000–2020)

Publication Name: Water Switzerland

Publication Date: 2026-04-01

Volume: 18

Issue: 7

Page Range: Unknown

Description:

This study develops and applies a Climate–Water–Health (CWH) Nexus Index to compare multi-dimensional risk trajectories across six African Least Developed Countries, namely, Chad, Democratic Republic of Congo, Lesotho, Madagascar, Niger, and Togo, each representing major climatic regions. Using decadal averages for 2000–2009 and 2010–2020, the study constructs three sub-indices—Climate Risk Index, Water Insecurity Index, and Health Burden Index—and then aggregates them into a composite CWH index. Indicators are harmonized via min–max normalization, and water and health measures are expressed per 100,000 population to ensure cross-country comparability under differing population sizes. The results of the study indicate substantial heterogeneity in both levels and drivers of nexus risk. The CWH risk decreased in most countries from the 2000s to the 2010s, while relative positions shifted as improvements occurred unevenly across dimensions. Sensitivity analysis with equal and dimension-focused weights confirms that core country groupings and extremes are robust to plausible weighting schemes. External consistency checks show a strong negative Pearson correlation between the standard CWH and the Human Development Index in both decades, indicating that higher human development is associated with lower Nexus risk. The proposed framework is transparent, scalable, and suitable for extension to broader African coverage and subnational mapping.

Open Access: Yes

DOI: 10.3390/w18070767

Predictor set optimization for collaborative filtering

Publication Name: Proceedings of the 6th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems Technology and Applications Idaacs 2011

Publication Date: 2011-12-12

Volume: 1

Issue: Unknown

Page Range: 404-407

Description:

One of the most efficient approaches to create a recommender system is collaborative filtering (CF). CF does not require metadata about users and items, but only interactions between users and items (e.g. ratings), therefore it can be applied in many problem domains. Experience shows that for achieving high accuracy, it is worthwhile to use a blended solution, consisting of many predictors. This paper presents an algorithm for constructing a set of CF predictors so that the overall accuracy of the set is high. The algorithm was tested on the Netflix Prize dataset that contains 100 million ratings. © 2011 IEEE.

Open Access: Yes

DOI: 10.1109/IDAACS.2011.6072784

The politics of digital sovereignty and the European Union’s legislation: navigating crises

Publication Name: Frontiers in Political Science

Publication Date: 2025-01-01

Volume: 7

Issue: Unknown

Page Range: Unknown

Description:

In recent years, the resistance of member states to the strengthening of the European Union and its ambition to extend the powers of nation states has become a dominant political element, especially in the countries of the Central and Eastern European region. At the same time, both nation states and the EU are facing a number of global challenges, one of the most significant of which, alongside climate change, is digitalization. At the dawn of the digital age, technological innovation and the free flow of information promised unprecedented opportunities. However, as digital technologies have increasingly permeated all aspects of economic, social and political life, they have created new crises and challenges, particularly with regard to digital sovereignty. This research explores the complex and interdisciplinary nature of digital sovereignty, with a particular focus on the crises that digitalization has triggered and caused. These crises manifest themselves in various forms, including cybersecurity threats, privacy issues and the economic dominance of global technology companies. The European Union’s legislative initiatives, including the Digital Services (DSA), Digital Markets (DMA) and European Media Freedom (EMFA) regulations, as well as the efforts to regulate artificial intelligence, are designed to address the crises inherent in the digital age, while at the same time posing new challenges to the sovereignty and perception of sovereignty of individual states. The research examines the EU’s legislative efforts in navigating the politics of digital crises. It sheds light on the interplay between national self-determination and the EU’s overall regulatory framework, highlighting the ongoing struggle to balance control and cooperation in a rapidly changing digital environment. The analysis will provide a deeper understanding of how digital sovereignty is shaped by and responds to crisis policy, and insights into the future of digital governance in an increasingly interconnected world. It also seeks to assess the extent to which recently introduced EU legislation can be harmonized with the policy objective of strengthening the autonomy of nation states. This is particularly important in the context of the legislation and practices observed in countries with relatively small populations, such as Hungary, Slovakia and the Czech Republic.

Open Access: Yes

DOI: 10.3389/fpos.2025.1548562

Detection of ‘Candidatus Phythoplasma prunorum’ in Apricot Trees and its Associated Psyllid Samples

Publication Name: Agronomy

Publication Date: 2023-01-01

Volume: 13

Issue: 1

Page Range: Unknown

Description:

‘Candidatus Phytoplasma prunorum’ is causing ever increasing economic losses through the decline of apricot trees in European countries, e.g., Hungary. In this study, the pathogen was identified from plant tissues and insects by nested-PCR. The insect species were identified via morphology and molecular methods. The incidence of the pathogen was 29.6% in randomly selected apricot trees. Most of the infected trees with symptoms died within a year. These results show that phytoplasma is significantly present and causes damage in the investigated plantations. The only known insect vector of this phytoplasma is the plum psyllid, Cacopsylla pruni, which was regularly encountered in the sampled apricot orchards and in their surroundings. In a two-year study, several adults among the sampled specimens were observed to be infected by the pathogen. This observation further confirms the role of the plum psyllid in vectoring the phytoplasma. All the sampled plum psyllid adults belonged to the ‘B’ biotype. Besides C. pruni, Cacopsylla crataegi was abundant in the samples. Several adults of the latter species were also infected by the pathogen ‘Ca. Phytoplasma prunorum’. The rates of occurrence of this phytoplasma in male and female adults of the two psyllid species appeared to be similar. The examined C. crataegi individuals showed genetic differences from each other and from specimens included in a previous investigation.

Open Access: Yes

DOI: 10.3390/agronomy13010199

The Role of BIM in Managing Risks in Sustainability of Bridge Projects: A Systematic Review with Meta-Analysis

Publication Name: Sustainability Switzerland

Publication Date: 2024-02-01

Volume: 16

Issue: 3

Page Range: Unknown

Description:

With the significant and rapid growth observed in bridge projects worldwide, the associated environmental, economic, and social concerns are on the rise. A systematic review of bridge sustainability with meta-analysis according to the PRISMA guidelines was performed, aiming to improve understanding of the importance of using building information modeling (BIM) in bridge projects by investigating the role of proper implementation of this technology to avoid and mitigate risks and improve sustainability. The relevant international literature was collected and scrutinized. The findings demonstrated that the accurate implementation of BIM significantly enhances the efficient management of risks in bridge projects. Consequently, this has a positive effect on improving the three essential (environmental, economic, and social) aspects of sustainability. The impact mentioned is especially apparent in enhancing the management of information throughout the entire lifespan of a bridge. This, in turn, facilitates precise decision-making during the design phase, aligns with assessments of environmental impact, enables real-time monitoring during execution, effectively manages the maintenance of the structure, facilitates efficient allocation and utilization of resources, and improves design practices by providing designers with accurate information. Delving into the nuances of this review has shed light on the transformative potential of BIM in shaping sustainable bridge projects, laying the groundwork for future advancements in this critical field.

Open Access: Yes

DOI: 10.3390/su16031242

Response to Artificial intelligence-based colorectal polyp histology prediction using narrow-band image-magnifying colonoscopy: a stepping stone for clinical practice

Publication Name: Clinical Endoscopy

Publication Date: 2022-09-01

Volume: 55

Issue: 5

Page Range: 701-702

Description:

No description provided

Open Access: Yes

DOI: 10.5946/ce.2022.123.1

Fuzzy System-Based Solutions for Traffic Control in Freeway Networks Toward Sustainable Improvement

Publication Name: Communications in Computer and Information Science

Publication Date: 2022-01-01

Volume: 1602 CCIS

Issue: Unknown

Page Range: 288-305

Description:

In the scientific community, the topic of traffic control for promoting sustainable transportation in freeway networks is a relatively new field of research that is becoming increasingly relevant. Sustainability is a critical factor in the design and operation of mobility and traffic systems, which impacts the development of freeway traffic control strategies. According to sustainable notions, freeway traffic controllers should be designed to maximize road capacity, minimize vehicle travel delays, and reduce pollution emissions, accidents, and fuel consumption. The problem is full of uncertainty, there is no way to model the whole system analytically, thus a fuzzy modeling approach seems to be not only adequate but necessary. In this study, a Fuzzy Cognitive Map based model (FCM) and a connected simple Fuzzy Inference System (FIS) are presented, as the tools to analyze freeway traffic data with the goal of traffic flow modeling at a macroscopic level, in order to address congestion-related issues as the core of the sustainability improvement strategies. Besides presenting a framework of Fuzzy system-based controllers in freeway traffic, the results of this work indicated that FIS and FCM are capable of realizing traffic control strategies involving the implementation of ramp management policies, controlling vehicle movement within the freeway by mainstream control, and routing vehicles along alternative paths via the execution of suitable route guidance strategy.

Open Access: Yes

DOI: 10.1007/978-3-031-08974-9_23

NFC applications in the tracking systems

Publication Name: International Conference on Industrial Logistics Icil 2014 Conference Proceedings

Publication Date: 2014-01-01

Volume: Unknown

Issue: Unknown

Page Range: 135-142

Description:

Radio Frequency Identification (RFID) and a Near Field Communication (NFC) is an automatic identification method, relying on storing and remotely retrieving data using devices different devices. An RFID tag and NFC devices is a small object that contains an antenna that enables it to receive and respond to radio-frequency. Basic requirements that these devices have to work in any conditions. In the working environment (closed or open air) there are always objects which can interact with radio frequency. This technical problem is to be considered when it comes to implementation of RFID or NFC devices knowing that materials can reflect, absorb or detune radio waves. In our paper we describe a system where NFC is applied. Many economic and technological questions arise by the implementation and usage. Copyright © FSB, Zagreb, Croatia, 2014.

Open Access: Yes

DOI: DOI not available

Humane-oriented CSR on social media: The roles of other-praising emotions and social justice values

Publication Name: Journal of International Studies

Publication Date: 2025-01-01

Volume: 18

Issue: 3

Page Range: 46-67

Description:

Despite their potential to enhance CSR communication effectiveness, research on customer responses to humane-oriented CSR appeals on social media remains limited. In particular, little attention has been paid to the role of otherpraising emotions-gratitude, elevation, admiration, and awe-in shaping the impact of online humane CSR initiatives. Thus, this paper aims to investigate how humane orientation in CSR posts predicts other-praising emotions and how these emotions mediate the relationship between CSR and customer behavioral intentions, including purchasing and social media engagement. Moreover, the moderating roles of social justice values and self-construal are examined. Data were collected via survey from Jordanian Facebook users and analyzed using moderation and mediation techniques. Results revealed that humane orientation positively affected other-praising emotions, which mediated the relationship between humane CSR and consumer behavior. Social justice values moderated emotional responses to CSR, while self-construal had no significant moderation effect on the emotion–behavior links. Addressing gaps in CSR communication literature, these findings emphasize the importance of humane CSR and moral emotions in driving successful CSR discourse on social media. They also provide practical insights to help firms select and communicate CSR practices that effectively achieve their business goals.

Open Access: Yes

DOI: 10.14254/2071-8330.2025/18-3/3