Potential Areas For Development Research Articles

Evaluation of Staff Views of the Rapid Assistance with Frailty Team, It’s Perceived Clinical Effectiveness and Potential Areas for Development

Abstract Background The Rapid Assistance with Frailty Team (RAFT) has been operating within our local hospital since 2021. This novel multidisciplinary service aims to support frail older adults during hospital admission, by conducting focused comprehensive geriatric assessments, and providing bespoke support to their primary team. One method of evaluating the impact of the service has been to seek regular feedback from other staff, to guide continuous quality improvement regarding our approach. Methods This service evaluation was registered with the Quality and Patient Safety department locally in January 2024. An online questionnaire was developed to seek feedback from colleagues who would have experience of the service, with a link distributed via email to relevant staff members. Data collection took place over an eight-week period. Results In total, 69 responses from staff were received, and analysed thematically. They demonstrated high degrees of staff satisfaction, with over 76% either agreeing or strongly agreeing that ‘RAFT is a valuable service’. A further 69% of respondents felt that ‘RAFT is helpful in supporting discharge’. The most common expectations were for the team to assist with frailty assessment; support discharge planning; offer MDT input; provide follow-up care; and conduct education. Staff felt the service could be improved through refining the medical input role; provision of an ED service; increased staffing; expanding the discharge planning role; development of referral pathways; and improved communication. Conclusion Following presentation of these findings at our departmental teaching, a service development plan was agreed. This includes organising a focused internal rapid improvement event, with RAFT staff utilising the feedback from this service evaluation to identify how the service can be improved, as well as identifying key performance indicators to evaluate this progress. We will repeat this service evaluation in 6 months’ time, to assess if these interventions have made a meaningful impact.

Maps of Geographical Distribution Patterns of Industrial Facilities in Dhi Qar Governorate

This study investigates the spatial distribution of industrial facilities within Dhi Qar Governorate. By analyzing geographical patterns, the research aims to identify clusters, hotspots, and potential areas for industrial development. The study utilizes geographic information systems (GIS) to visualize and analyze the distribution of industrial establishments across the governorate. The findings contribute to a better understanding of the industrial landscape, informing future planning and decision-making for economic development and resource allocation in Dhi Qar.

A GIS-Based Approach for Assessing Urban Development Potential in Federal Capital Territory Nigeria

Urban development potential assessment is essential for guiding the spatial expansion of cities, optimizing land use, and ensuring sustainable urban growth. In the context of rapidly urbanizing regions, such as Nigeria, understanding development potential helps mitigate the challenges of urban sprawl, infrastructure strain, and environmental degradation, hence, this study is aimed at a GIS based approach for assessing urban development potential in federal capital territory Nigeria. The objectives of the study are to: identify and categorize the key factors influencing urban development in the Federal Capital Territory, Nigeria; assess the reliability of the identified factors using consistency index and sensitivity analysis; determine the potential areas for urban development in the Federal Capital Territory, Nigeria using analytical hierarchical process; and produce an urban development potential map defining the extent of urban development potential across the urban landscape of the Federal Capital Territory, Nigeria. The study employed the assessment of relative priorities in modelling and mapping urban development potential in Federal Capital Territory Nigeria. This assessment was based on a comprehensive set of criteria, including slope, elevation, proximity to road network, population density and proximity to developed areas. The Analytical Hierarchical Process was utilized to compare and establish the relative importance of these criteria by means of matrix comparisons. Subsequently, these criteria were assigned relative weights. Weighted Overlay technique was applied to generate the final development potential map. The study revealed that Abuja Municipal Area had the highest potential development area, covering an area 851.40 km2, with Bwari and Kuje Area Councils as having the second and third highest development potential with an area coverage of 312.40 km2 and 279.69 km2 respectively. Gwagwalada and Kwali Area Councils were ranked fourth and fifth with a developable area coverage of 180.20 km2 and 127.60 km2 respectively, while Abaji Area Council was ranked the least with developable area coverage of 40.27 km2. The study successfully integrated an approach to investigate development potential within the Federal Capital Territory. This evaluation approach, is hereby recommended to be used as tool for planning and decision making in urban development in the study area.

Utilizing a Dashboard for Efficient Biodiversity Data Overview and Gap-Filling Effort

Taiwan Biodiversity Information Facility has been leading the effort to integrate and mobilize biodiversity data nationally. We recently accomplished the integration of local databases and successfully developed a data portal that efficiently links to the most comprehensive biodiversity database in Taiwan: the Taiwan Biodiversity Information Alliance Data Portal. However, we identified an emerging challenge following this development. Preliminary analyses have revealed several gaps in the current dataset, impeding robust data use. For instance, land data dominates over sea data, and bird records are more abundant than those of other taxonomic groups. In our endeavour to enhance national biodiversity data coverage, we are actively exploring methodologies to address these existing data gaps. Here, we broadly define data gap as the absence of required data or information for use. Our primary objective is to empower users to identify these gaps, thereby facilitating efficient, informed survey planning and eventually filling these gaps. For this purpose, we are evaluating the effectiveness of a user-friendly dashboard, tailored for biodiversity survey planning in Taiwan. We developed and deployed a R Shiny dashboard*1 that provides users with insightful data visualizations that highlight spatial, temporal, and taxonomical data overviews. It also offers customizable filtering options, such as by major taxon groups and habitat types, for easy viewing. Additionally, the dashboard includes a download function, so users can access spatial and taxon gap information in their survey planning efforts. After deploying the dashboard, we conducted user interviews to collect feedback aimed at refining its usability and effectiveness. In addition to helping survey planning, we anticipate that this tool will also aid data users in promptly assessing data integrity within the national biodiversity data portal, thereby enabling them to identify potential data gaps and biases that may affect subsequent use. Through this presentation, we aim to share our experience in developing an interactive dashboard tailored for public use. Preliminary results had indicated that the dashboard highlighted some visible data gaps and biases, particularly in underrepresented areas such as marine habitats and less-studied taxonomic groups. Additionally, user interviews revealed a demand for a feature that provides single species data overviews, suggesting a potential area for further development to enhance the tool's utility. Some challenges remain, such as the need to enhance data granularity and user interface usability. Future work will focus on incorporating more real-time data integration and expanding the range of customizable filters. We believe these efforts will further empower users in Taiwan to conduct more informed and efficient biodiversity surveys, ultimately supporting research and policy-making to address critical biodiversity data gaps.

A Comparative Analysis of Business Models and their Impacts on Selected Indigenous Communities in Aklan, Philippines: Towards Sustainable Practices in Ancestral Domains

This study investigates the impacts of various economic models on indigenous communities in Aklan, Philippines, with a special focus on sustainable practices within their ancestral lands. It examines the socio-economic, cultural, and environmental consequences of different business models. Additionally, it delves into the community members’ perspectives and aspirations regarding sustainable development, highlighting the primary challenges and opportunities they face. The study utilized a quantitative research approach, employing structured surveys to collect data from participants. The poll encompassed inquiries regarding demographic profiles, assessments of commercial effects, as well as the difficulties and possibilities encountered by the communities. A Pearson correlation analysis was performed to ascertain the association between demographic characteristics and perceived impacts. The study found that business models had a favorable effect on the socio-economic status, cultural preservation, and environmental conservation of indigenous groups. Diverse advantages were noted in the benefits offered by various business structures. Perceptions of these impacts were significantly related to age, educational background, career, and length of involvement in community activities. The main obstacles encompassed issues related to financial accessibility, infrastructure development, regulatory barriers, and educational deficiencies. Potential areas for development were recognized in eco-tourism, sustainable agriculture, partnerships with non-governmental organizations, market demand for indigenous products, and technology. The findings highlight the capacity of business models to improve the socio-economic, cultural, and environmental welfare of indigenous communities. It is essential to have customized company strategies that take into account the demographic variety. To achieve the successful adoption of sustainable business models, it is crucial to tackle financial, infrastructural, and regulatory obstacles. It is advised to improve financial assistance by providing grants and microfinance, investing in infrastructure, streamlining regulatory procedures, and establishing education and training initiatives. It is crucial to promote eco-tourism, enhance partnerships with non-governmental organizations (NGOs) and stakeholders, and utilize technology to implement sustainable practices. It is crucial to have policies that effectively combine economic growth with the preservation of culture and the sustainability of the environment. Keywords: Indigenous communities, sustainable development, business models, Aklan, socio-economic impacts

Advanced In-Place Merge Sort Approach for Enhanced Sorting Performance

This paper introduces a new sorting algorithm designed to sort array elements directly within the array itself. The algorithm features a best-case time complexity of O(n) and an average and worst-case time complexity of O (n log n). It achieves this performance through a method that combines recursive breakdown with in-place merging techniques. We compare this new approach with existing popular sorting algorithms to assess its relative effectiveness. The paper concludes with insights into the algorithm's strengths and limitations, and proposes potential areas for further development and refinement. Keywords - Complexity Analysis, In-Place Sorting, Recursive Breakdown

2145 Physical and mental health needs of older transgender adults in the U.K.: a scoping review

Abstract Introduction The number of adults in the UK who identify as transgender is increasing, through greater recognition of trans identity and growing numbers of individuals transitioning in later life. The term ‘Transgender’ encompasses a diverse range of experiences and identities, including those who identify as non-binary, gender-fluid, and gender-queer. However, within this review, we use the shortened term ‘trans’ and the following broad definition: ‘people whose gender is different from the gender assigned to them at birth.’ We conducted this exploratory review to examine the literature regarding the specific health and social care needs of older trans adults. Methods We utilised scoping review methodology and thematic qualitative analysis to systematically search and map the literature related to the physical and mental health challenges related to the ageing experience among trans adults in the UK. Results We identified 22 relevant papers through combined systematic search and additional manual reference review. We recognised five key themes within the literature: Systems and Structural Factors, Health and Mental Health, Social Care, Diversity and The Future. The former three themes relate to limitations presented by current models of care, barriers within services and potential areas for development. Key areas identified include challenges related to the application of a binary gender model within healthcare systems as well as advanced care planning and ensuring gender-affirming care where capacity is lost including living with dementia. The latter two themes identify gaps in the current literature and provide examples of trans-inclusive positive practice. Conclusions There is an ongoing need for researchers, clinicians and policymakers to ensure that the needs of older trans adults are studied, understood and accommodated within policy and practice. Service providers delivering care to older adults must understand trans-specific needs, particularly around advanced care planning, to ensure that trans people are supported to age well.

Habitat selection of non‐breeding American black ducks in an urban estuary

AbstractShellfish aquaculture is a globally expanding industry, including in urban estuaries that support non‐breeding waterfowl. The effects of shellfish aquaculture on the spatial distribution of non‐breeding waterfowl, however, are poorly understood and depend on the ecology of waterfowl and cultivated shellfish species. We investigated how proximity to shellfish aquaculture influenced habitat selection and movement patterns of American black ducks (Anas rubripes) during the non‐breeding season (~Oct–May) in 2020–2023 in Rhode Island, USA. The extent to which proximity to aquaculture influenced habitat selection of black ducks depended on factors specific to individuals' primary non‐breeding sites, although proximity to aquaculture did not have biologically meaningful influences on black duck movement rates across all sites. Black ducks across sites consistently selected for areas better suited for aquaculture (i.e., areas of potential future development) relative to areas poorly suited for aquaculture (i.e., areas less likely to be developed). The continued expansion of aquaculture into preferred black duck habitats will increase black duck interactions with aquaculture and therefore should be considered in the decision‐making process for siting future aquaculture leases. Future studies should quantify the extent to which continued expansion of aquaculture in those preferred coastal habitats directly influences black ducks.

A framework for transformational leadership to enhance teacher's work performance.

In the new era of higher education focusing on "double first-class" development, private universities in China face significant opportunities and challenges. The success of these institutions is closely linked to effective leadership, particularly transformational leadership, which is known to inspire and motivate employees toward extraordinary achievements. This study explores the existence and impact of transformational leadership on teachers' work performance in Chinese private universities. It aims to fill a research gap regarding the role of transformational leadership in a resource-constrained environment and provide practical insights for enhancing teachers' work performance, thereby contributing to the rapid development of private universities and the realization of "double first-class" goals. This study employed an input-process-output approach, combining qualitative data from face-to-face interviews with 12 leaders at Guangdong University of Science and Technology and quantitative data from an electronic survey of 392 university teachers. Data were analyzed using SPSS26.0, AMOS24.0, and NVIVO14, including exploratory and confirmatory factor analyses, common method bias assessment, and correlation analysis. Structural equation modeling with AMOS24.0 was used to explore the relationship between transformational leadership and teachers' work performance, evaluating the impact of each transformational leadership dimension. The study findings demonstrated that transformational leadership styles are being employed in Chinese private universities, albeit not extensively, with moderate effects on teachers' work performance. The research identified organizational vision, intellectual stimulation, and personal recognition as significant drivers of enhanced performance among faculty members. Nevertheless, the study did not confirm the impact of supportive leadership, inspiring communication, and moral modeling within the context of Chinese private universities. The results highlight areas for potential development in leadership practices, including improving teachers' competencies, motivating teachers, providing good work opportunities and environments, and building good teacher teams.

Regional Analysis of Sheep Business in Banjarnegara Regency

Banjarnegara Regency is home to the local Batur sheep, known for their significant body weight. The community has been raising Batur sheep for generations, aiming to develop them into a regional economic driver. This study aims to analyze potential areas for sheep livestock development in Banjarnegara Regency. The data used came from the farm statistics of the Directorate-General for Farm and Animal Health in 2021. The location quotient (LQ), localization index (LI), and specialization index (SI) method were used to perform regional analysis of sheep business. The results of the survey showed that the base area of sheep farming in Banjarnegara district is distributed in the districts of Karangkobar, Pejawaran, Batur, and Wanayasa. The localization and specialization index showed that sheep farming is spread evenly throughout the district of Banjaregara, not concentrated in a particular region.

Design and simulation of district heating networks: A review of modeling approaches and tools

District heating (DH) systems have been identified as an important component in efforts to mitigate greenhouse gas emissions and achieve climate targets in the near future. Software tools for analyzing these systems use different modeling approaches, making it challenging for practitioners to choose the most suitable tool based on specific use case requirements. This paper systematically reviews available DH network modeling and simulation tools, comparing their modeling approaches, application scope, and functional capabilities. An online survey was conducted among DH tool developers and experts to assess the technical evaluation criteria for these tools. First, the basic concepts and principles of DH networks modeling are discussed. Moreover, it provides an overview of DH network mathematical models, and discusses various numerical methods used for simulation and analysis, while highlighting potential areas for further research and tools development. The aim of this paper is to support academic and industrial users in selecting appropriate modeling approaches, tools, and libraries.

Critical assessment of missense variant effect predictors on disease-relevant variant data.

Regular, systematic, and independent assessment of computational tools used to predict the pathogenicity of missense variants is necessary to evaluate their clinical and research utility and suggest directions for future improvement. Here, as part of the sixth edition of the Critical Assessment of Genome Interpretation (CAGI) challenge, we assess missense variant effect predictors (or variant impact predictors) on an evaluation dataset of rare missense variants from disease-relevant databases. Our assessment evaluates predictors submitted to the CAGI6 Annotate-All-Missense challenge, predictors commonly used by the clinical genetics community, and recently developed deep learning methods for variant effect prediction. To explore a variety of settings that are relevant for different clinical and research applications, we assess performance within different subsets of the evaluation data and within high-specificity and high-sensitivity regimes. We find strong performance of many predictors across multiple settings. Meta-predictors tend to outperform their constituent individual predictors; however, several individual predictors have performance similar to that of commonly used meta-predictors. The relative performance of predictors differs in high-specificity and high-sensitivity regimes, suggesting that different methods may be best suited to different use cases. We also characterize two potential sources of bias. Predictors that incorporate allele frequency as a predictive feature tend to have reduced performance when distinguishing pathogenic variants from very rare benign variants, and predictors supervised on pathogenicity labels from curated variant databases often learn label imbalances within genes. Overall, we find notable advances over the oldest and most cited missense variant effect predictors and continued improvements among the most recently developed tools, and the CAGI Annotate-All-Missense challenge (also termed the Missense Marathon) will continue to assess state-of-the-art methods as the field progresses. Together, our results help illuminate the current clinical and research utility of missense variant effect predictors and identify potential areas for future development.

APPLICATION OF LASER SCANNING DATA IN SOLVING TERRITORIAL PLANNING PROBLEMS

The article aims to thoroughly investigate and analyse the possibilities of using laser scanning data in spatial planning. The main goal is to identify the potential of this technology to improve the efficiency and accuracy of planning processes, particularly in the urban environment. The LiDAR (Light Detection and Ranging) data integration into territorial planning is fundamental to modern urban management frameworks. Using the precise and comprehensive geospatial data obtained through LiDAR scanning provides a reliable basis for conducting in-depth analysis and strategic decision-making in territorial development initiatives. LiDAR technology offers unparalleled accuracy and detail, enabling urban planners to effectively map and visualise various aspects of urban environments, including topography, land use patterns, infrastructure, and natural features. With this extensive information, stakeholders can gain valuable insights into existing spatial dynamics, identify potential areas for development or conservation, and assess the impact of proposed projects on the surrounding landscape. Moreover, integrating LiDAR data facilitates the optimisation of urban resource management processes. City authorities can streamline land use planning, infrastructure development, and environmental management efforts by accurately delineating land plots and infrastructure networks. In turn, it promotes more efficient allocation of resources, minimises operational costs, and enhances overall urban sustainability. Furthermore, LiDAR technology is crucial in enhancing urban resilience and adaptability. Generating high-resolution elevation models and floodplain maps allows urban planners to identify areas prone to natural hazards such as floods, landslides, or coastal erosion. With this knowledge, city planners can implement proactive measures to mitigate risks, improve disaster preparedness, and safeguard community well-being. In contemporary urban challenges, such as climate change and rapid urbanisation, LiDAR technology is becoming increasingly indispensable. By embracing LiDAR technology, urban planners can develop more resilient and sustainable cities better equipped to withstand and adapt to evolving environmental, social, and economic pressures. In essence, the effective utilisation of LiDAR data in territorial planning enhances spatial planning accuracy and fosters innovation, resilience, and sustainability within urban environments. By harnessing the power of LiDAR technology, cities can pave the way toward a more prosperous, equitable, and resilient future for generations to come. Keywords: data, laser scanning, territorial planning, potential, accuracy, efficiency, analysis, prospects.

Innovation waves: Analysis and modeling of patents on ultrasound applications in food processing

AbstractUltrasonication is an innovative green technology with various applications in the food industry. Notably, patent analysis from a technological perspective is essential for monitoring market trends and identifying the technological stage through life cycle modeling. Thus, this study aimed to conduct an investigation using patent documents on the application of ultrasound in the food sector. The Espacenet® database was used with the keywords “Food Processing,” “Ultrasound,” and “Ultrasonication,” along with the code A23. A total of 140 documents were evaluated, with China being the main applicant country. Fruits and vegetables and bioactive compounds were the key technological sectors. Food preservation and extraction processes emerged as the primary applications. The involvement of ultrasound technology in the food industry is entering the maturity stage, as demonstrated by the function adjusted to the BiDoseResp model. This result implies further technological and market development in the food industry in the coming years.Practical applicationsThis review addressed the evolution and the current scenario of ultrasound applications in food processing through patent documents deposited between 1979 and 2022, which are rich technological information sources. This approach identified the main technological sectors of food and applications in which ultrasound is most used, as well as the main institutions, inventors, and patent‐filing countries. The major challenges, impacts of the COVID‐19 pandemic, and market trends were also discussed. Through mathematical modeling of patent mapping, it was detected that ultrasonication is integrated into the food sector while maintaining a highly competitive impact. This development indicates a future with significant advancements in the development of ultrasound in the food industry, with increasing participation of emerging countries in technological monopolies and a trend of associating ultrasound with non‐thermal emerging technologies in patented inventions. Food waste, food printing, and food for people with swallowing difficulties are potential areas for further development.

Validation of a Cantonese Version of the Amsterdam-Nijmegen Everyday Language Test (CANELT): A functional approach.

The current study aimed to validate the Cantonese version of the Amsterdam-Nijmegen Everyday Language Test (CANELT), a functional communication assessment tool for Cantonese speakers with aphasia. A quantitative scoring method was adopted to examine the pragmatics and informativeness of the production of people with aphasia (PWA). CANELT was translated from its English version with cultural adaptations. The performance on the 20-item CANELT collected from 56 PWA and 100 neurologically healthy Cantonese-speaking controls aged 30 to 79 years was orthographically transcribed. Scoring was based on the completeness of the main concepts produced in the preamble and subsequent elaborations, defined as Opening (O) and New Information (NI). Measures examining the validity and reliability were conducted. An age effect was found in neurologically healthy controls, and therefore z scores were used for subsequent comparisons between neurologically healthy controls and PWA. The test showed strong evidence for known-group validity in both O [χ2 (2) = 95.2, p < .001] and NI [χ2 (2) = 100.4, p < .001]. A moderate to strong correlation was found between CANELT and standardized aphasia assessment tools, suggesting satisfactory concurrent validity. Reliability measures were excellent in terms of internal consistency (Cronbach's α of .95 for both 'O' and 'NI'), test-retest reliability (ICC = .96; p < .001), intra-rater reliability (ICC = 1.00; p < .001), and inter-rater reliability for O (ICC = .99; p < .001) and NI (ICC = .99; p < .001). Sensitivity and specificity for O are 97% and 76.8%, respectively, while for NI, a sensitivity of 95% and specificity of 91.1% were obtained. Measures on validity and reliability yielded promising results, suggesting CANELT as a useful and reliable functional communication assessment for PWA. Its application in managing PWA and potential areas for development are discussed.

Metaverse Integration in Moroccan Schools: A Quantitative Study of Educator’s Perspectives

This research revolves around the examination of Moroccan teachers' attitudes to the integration and day-to-day use of the metaverse in educational settings such as the classroom. This research is particularly concerned with educators in both public and private schools within Morocco. Utilizing quantitative research methods and including statistical techniques such as Analysis of Variance (ANOVA) and T-tests, this study aspires to unhide the motivations and aspirations driving Moroccan teachers to embrace the use of metaverse technology in the classroom. It also aims to investigate whether these teachers harbour reservations or anticipations regarding metaverse’ seamless integration in educational settings. The study uncovers variations in teachers' enthusiasm for metaverse integration, as well as a plethora of concerns or anticipations regarding its implementation and feasibility in different classroom settings. This research’s attempts to uncover patterns of readiness or resistance among teachers in public and private schools, which will undoubtedly providing insights into the factors that shape their perspectives and facilitating the identification of areas for potential professional development. The outcomes of this study offer valuable insights for policymakers, assisting in the development of effective training and teaching designs and concepts for teachers as well as students.

The use of telepathology in veterinary medicine: a scoping review.

Telepathology, as a subset of teleconsulting, is pathology interpretation performed at a distance. Telepathology is not a new phenomenon, but since ~2015, significant advances in information technology and telecommunications coupled with the pandemic have led to unprecedented sophistication, accessibility, and use of telepathology in human and veterinary medicine. Furthermore, telepathology can connect veterinary practices to distant laboratories and provide support for underserved animals and communities. Through our scoping review, we provide an overview of how telepathology is being used in veterinary medicine, identify gaps in the literature, and highlight future areas of research and service development. We searched MEDLINE, CAB Abstracts, and the gray literature, and included all relevant literature. Despite the widespread use of digital microscopy in large veterinary diagnostic laboratories, we identified a paucity of literature describing the use of telepathology in veterinary medicine, with a significant gap in studies addressing the validation of whole-slide imaging for primary diagnosis. Underutilization of telepathology to support postmortem examinations conducted in the field was also identified, which indicates a potential area for service development. The use of telepathology is increasing in veterinary medicine, and pathologists must keep pace with the changing technology, ensure the validation of innovative technologies, and identify novel uses to advance the profession.

Edible insects as a sustainable protein source: a meta-analysis

Abstract With the global population set to reach 9.7 billion by 2050, posing a potential 75% increase in food demand, this study examined the viability of edible insects as a sustainable protein source compared with beef. Employing a meta-analysis approach, data were synthesized from studies conducted over the past 13 years, using Hedges’ d effect size and mixed model methods. The parameter values included the nutritional, environmental, and economic aspects of edible insects. Out of 10,119 articles screened, 222 were selected for analysis, revealing 135 different species. Subsequently, 10 species were selected, based on the most comprehensive data available, for mixed model analysis. Although the protein content of these 10 edible insect species was generally lower than that of beef, certain species exhibited amino acid scores surpassing those of beef. Edible insects also exhibited significantly higher calcium, iron, and zinc content compared with beef. Environmental aspects may enhance the value of edible insects as they exhibited greater advantages compared with beef. Despite some identified risks in incorporating edible insects into the diets of humans and animals, there remain potential areas for further investigation and development, such as addressing fat content, indigestible carbohydrate, availability, and sustainability aspects. Further research is required to promote local edible insect products as nutritious food and feed.

Data Literacy and Education: A Science Mapping Study

Nowadays, large amounts of data are produced in every field, and these data have become a strategic asset for individuals, businesses, states, and societies. Data literacy involves the skills of using these data effectively. The first aim of the current study is to determine in which years and in which periods more research has been conducted on education and data literacy, reveal the trends in this field over time, and understand what is at the forefront in education and data literacy by analyzing changes in research trends. The second aim of this study is to understand which topics have a wider impact in the field by examining the content of the most cited studies, and to evaluate the potential for collaboration by analyzing the collaborative tendencies and main topic focuses of authors and organizations. This study adopted a science mapping method to examine the relationship in the field of education and data literacy and reveal a general condition of the research on this subject. Data for this study were collected through the Web of Science (WoS) database. As a result of the analysis, an apparent increase in research on education and data literacy since 2011 was examined, and a trend that peaked in 2020 but rose again in 2022 was identified. It was shown that technology and big data-oriented studies have gained importance in thematic evolution. This analysis provides a valuable resource for understanding the current state in the field of education and data literacy and identifying strategies for potential areas of future development.

Emerging underwater survey technologies: A review and future outlook

Emerging underwater survey technologies are revolutionizing the way we explore and understand the underwater world. This review examines the latest advancements in underwater survey equipment, highlighting their operational benefits and potential areas for future development. Recent developments in underwater survey technologies have led to significant improvements in accuracy, efficiency, and data quality. Advanced sonar systems, such as multibeam and sidescan sonars, provide high-resolution images of the seafloor, allowing for detailed mapping of underwater features. Autonomous underwater vehicles (AUVs) equipped with sophisticated sensors and cameras enable precise data collection in challenging environments, such as deep-sea areas or complex underwater structures. The operational benefits of these technologies are vast. They allow for faster surveying, reduced costs, and improved safety for personnel. Additionally, the high-quality data obtained from these surveys can lead to better decision-making in various industries, including offshore energy, marine research, and underwater archaeology. Looking ahead, the future of underwater survey technologies is promising. There is a growing interest in developing integrated systems that combine multiple sensors and data processing capabilities to provide a more comprehensive view of underwater environments. Artificial intelligence and machine learning algorithms are also being increasingly utilized to analyze large datasets and extract valuable insights. However, several challenges remain, such as the need for better underwater communication systems, improved battery life for autonomous vehicles, and enhanced data processing capabilities. Addressing these challenges will be crucial for the continued advancement of underwater survey technologies. In conclusion, the latest advancements in underwater survey technologies offer exciting opportunities for enhancing our understanding of the underwater world. By leveraging these technologies and addressing key challenges, we can unlock new possibilities for underwater exploration and research.