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Unlike many existing methods that are primarily focused on two-dimensional localization, this research paper extended the scope to three-dimensional localization. This enhancement is particularly significant for unmanned aerial vehicle (UAV) applications that demand precise altitude information, such as infrastructure inspection and aerial surveillance, thereby broadening the applicability of UAV-assisted wireless networks.

The paper introduced a novel method that employs recurrent neural networks (RNNs) for node localization in three-dimensional space within UAV-assisted wireless networks. It presented an optimization perspective to the node localization problem, aiming to balance localization accuracy with computational efficiency. By formulating the localization task as an optimization challenge, the study proposed strategies to minimize errors while ensuring manageable computational overhead, which are crucial for real-time deployment in dynamic UAV environments.

Simulation results demonstrated significant improvements, including a channel capacity of 99.95%, energy savings of 89.42%, reduced latency by 99.88% and notable data rates for UAV-based communication with an average localization error of 0.8462. Hence, the proposed model can be used to enhance the capacity of UAVs to work effectively in diverse environmental conditions, offering a reliable solution for maintaining connectivity during critical scenarios such as terrestrial environmental crises when traditional infrastructure is unavailable.

Conventional localization methods in wireless sensor networks (WSNs), such as received signal strength (RSS), often entail manual configuration and are beset by limitations in terms of capacity, scalability and efficiency. It is not considered for 3-D localization. In this paper, machine learning such as multi-layer perceptrons (MLP) and RNN are employed to facilitate the capture of intricate spatial relationships and patterns (3-D), resulting in enhanced localization precision and also improved in channel capacity, energy savings and reduced latency of UAVs for wireless communication.

Social media marketing (SMM) denotes attaining website traffic or attention through social media platforms. The paper aims to focus on examining the viewpoint of library professionals from different universities along with the user respondents from different disciplines and universities on the role of social media tools to market university libraries.

It is a survey-based study that used the questionnaire as its chief data collection instrument designed to be administered to library professionals (n = 100) and users (n = 1,189) from eight universities. The study also adopted the general observation and interview methods to supplement the data. The data was analyzed using SPSS software, and Chi-square test and ANOVA were applied to ascertain the significant variations in viewpoints of the library professionals and the users.

The research study showed that library professionals (from different universities) and users (from different disciplines and universities) felt that social media could be an appropriate marketing tool for libraries in the future. Observations during data collection highlighted a lack of confidence and unwillingness among library professionals to implement any changes in the present time.

The present study provides some significant insights for improving the current situation of the libraries under study in terms of increasing awareness among the students and adopt social media tools for marketing of library facilities and services in future. It is important to note that a few issues that came into light during data collection were a marked lack of willingness and prevalence of less confidence among the library professionals to execute or implement the social media tools to market library resources and services among the users.

SMM programs focus on creating content that attracts attention and encourages readers to use it. This study attempts to fill the gap in of marketing in libraries through social media. The paper offers insights into the use of marketing tools for promoting library resources and services as per the needs of library users. The research work differs from other studies undertaken on library marketing related to social media as it has included both library professionals and users together to obtain a better picture in this regard.

This study aims to identify the main challenges to achieving humanitarian logistics in the context of United Nations peace missions in sub-Saharan Africa and to present suggestions for overcoming the logistical gaps encountered.

The methodological approach of the work focuses on the comparative case study of the United Nations Mission in South Sudan, the United Nations Multidimensional Integrated Stabilisation Mission in the Central African Republic and The United Nations Organisation Stabilisation Mission in the Democratic Republic of Congo from 2014 to 2021. The approach combined a systematic literature review with the authors’ empirical experience as participant observers in each mission, combining theory and practice.

As a result, six common challenges were identified for carrying out humanitarian logistics in the three peace missions. Each challenge revealed a logistical gap for which an appropriate solution was suggested based on the best practices found in the case study of each mission.

This paper presents limitations when addressing the logistical analysis based on only three countries under the UN mission as a case study, as well as conceiving that certain flaws in the system, in the observed period, are already in the process of correction with the adoption of the 2016–2021 strategy by the UN Global Logistic Cluster. The authors suggest that further studies can be carried out by expanding the number of cases or using countries where other bodies (AU, NATO or EU) work.

To the best of the authors’ knowledge, this study is the first comparative case study of humanitarian logistics on the three principal missions of the UN conducted by academics and practitioners.

This paper aims to discuss the scanning methodology depending on the close-range photogrammetry technique, which is appropriate for the precise three-dimensional (3D) modelling of objects in millimetres, such as the dimensions and structures in sub-millimetre scale.

The camera was adjusted to be tilted around the horizontal axis, while coded dot targets were used to calibrate the digital camera. The experiment was repeated with different rotation angles (5°, 10°, 15°, 20°, 25°, 30°, 50° and 60°). The images were processed with the PhotoModeler software to create the 3D model of the sample and estimate its dimensions. The features of the sample were measured using high-resolution transmission electron microscopy, which has been considered as a reference and the comparative dimensions.

The results from the current study concluded that changing the rotation angle does not significantly affect the results, unless the angle of imagery is large which prevent achieving about 20: 30% overlap between the images but, the more angle decreases, the more number of images increase as well as the processing duration in the programme.

Develop an automatic appropriate for the precise 3D modelling of objects in millimetres, such as the dimensions and structures in sub-millimetre scale using photogrammetry.

This study aims to assess the effectiveness of online e-resource marketing tools used by university libraries to market e-resources. The specific objectives of this study were to uncover the e-resources that are showcased by university libraries, find out instructions posted by libraries to facilitate access and utilization of e-resources, examine marketing tools used, examine how current and relevant marketing messages and test the functionality of the marketing tools used.

An exploratory research design was used to assess the effectiveness of e-resources marketing tools. The study population included all public university libraries in Tanzania. The sample was purposively selected to include all publicly funded libraries as they work under similar management environments. Data collection involved the evaluation of online marketing tools using a matrix checklist.

It was revealed that most university libraries use websites for showcasing e-resources. The commonly used social media for marketing e-resources is Facebook followed by Instagram while Twitter and Ask a Librarian are the least used. The results further show that only a few universities provide instructions on how to access and use e-resources. The findings indicate that universities had active communication platforms for marketing e-resources. Furthermore, less than 50% of marketing messages are active and current. It is recommended that marketing e-resources should be integrated into the library’s plans and strategies and this should be informed by library policies.

Given that, this study involved Tanzanian public university libraries, it is possible that the findings do not represent the same situation in all academic university libraries in the nation.

This study assesses the effectiveness of online tools used to market e-resources in university libraries in Tanzania. It reveals the e-resources that are showcased online, the instructions provided on how to access the e-resources and the functionality of the marketing tools. Unlike the previous research, which primarily focused on evaluating the Web-based tools in university and college libraries, this study focused on public libraries in the country. The results will not only contribute to the theoretical and practical understanding of the functionality of the marketing tools but also provide actionable insights to decision-makers in libraries in marketing their e-resources.

Over some 20 years, the popularity of competitive bodybuilding has increased significantly in India, along with an increase in sponsorship and professionalism in the organisation of events. Multiple competitions are now held at city/town, state, and national levels, organised by a vast range of organisations. The popularity of the sport follows the arrival of muscular bodies in Indian cinema and the attendant rapid growth of the country’s fitness industry. However, what is required for a bodybuilding competition on-stage is not necessarily the same as what actors showcase in movie scenes, specifically orchestrated to underline bodily accomplishments. Nor may it be what clients are after when they enter a gym. This chapter examines how Indian bodybuilders who often make a living as personal trainers navigate different bodily ideals. It foregrounds the notion of ‘muscular capital’ to deepen the understanding of what value a bodybuilder’s body might hold on and off stage and how it is perceived by others. Building on extensive fieldwork in Chennai, Tamil Nadu, this chapter seeks to move beyond the mere economic dimensions of bodybuilding and instead gives prominence to the sociocultural aspects of the body as they reflect an array of different (post colonial) demands and expectations.

Despite the growing use of Fourth Industrial Revolution (4IR) technologies in construction, the reasons behind adopting social media in this context and its real benefits for sustainable construction and productivity remain unclear. This study aims to examine how construction professionals perceive the impact of social media on sustainable construction and productivity in the industry.

This research used a mixed-methods research approach (qualitative and quantitative), resulting in the formulation of a well-structured questionnaire which was distributed to construction professionals. Ordinal regression and multinomial logistic regression were carried out to assess the impact of social media use on sustainable construction and productivity enhancement, as well as the extent of social media utilization in construction projects.

Through exploratory factor analysis, five distinct clusters of social media consequences were identified, namely: information and knowledge sharing, community engagement and morale, environmental and resource management, disruptive and stressful effects and communication and collaboration. Furthermore, the extent of social media usage is closely related to three key factors: community engagement and morale, environmental and resource management and communication and collaboration.

This study represents one of the pioneering research efforts in Nigeria to investigate the implications of social media usage in the construction industry. Thus, future studies can build upon this research to further contribute to the multifaceted dimensions of social media’s impact on the construction industry.

This study investigates the mispricing dynamics of NIFTY 50 Index futures, drawing upon daily data spanning from January 2008 to July 2023.

The study employs both a single regime analysis and a tri-regime model to understand the fluctuations in NIFTY 50 Index futures mispricing.

The study reveals a complex interplay between various market factors and mispricing, including forward-looking volatility (measured by the NIFVIX index), changes in open interest, underlying index return, futures volume, index volume and time to maturity. Additionally, the relationships are regime-dependent, specifically identifying the regime-dependent nature of the relationship between forward-looking volatility and mispricing, the impact of futures volume on mispricing, the effect of open interest on mispricing, the varying influence of index volume and the influence of time to maturity across the three distinct regimes.

These findings offer valuable insights for policymakers and investors by providing a detailed understanding of futures market efficiency and potential arbitrage opportunities. The study emphasizes the importance of understanding market dynamics, transaction costs and timing, offering guidance to enhance market efficiency and capitalize on trading opportunities in the evolving Indian derivatives market.

The Vector Autoregression (VAR) and Threshold Vector Autoregression Regression (TVAR) models are deployed to disentangle the interrelationships between NIFTY 50 Index futures mispricing and related endogenous determinants.

This study investigates the Nifty 50 Index futures mispricing across three distinct market regimes.

We highlight how factors like volatility, futures volume, and open interest vary in their impact.

The study employs vector auto-regressive and threshold vector auto-regressive models to explore the complex relationships influencing mispricing.

We provide valuable insights for investors and policymakers on improving market efficiency and identifying potential arbitrage opportunities.

In today’s rapidly evolving business landscape, innovation is the cornerstone for every organization. Knowledge management (KM) is crucial for developing sustainable competitive advantage by fostering innovation. This study aims to identify the key drivers of KM in the context of digital transformation through qualitative research.

This study employs a qualitative approach based on in-depth interviews with senior KM officers, including chief knowledge officers and directors who spearhead KM in their respective organizations. This research identifies four key dimensions, shedding new light on the drivers of KM in the context of digital transformation.

This study’s findings reveal that the integration of important drivers from the lens of social-technical system (STS) theory is categorized into the four dimensions of KM, namely, motivation, technology, people interaction and organizational drivers. These factors jointly impact and design the effectiveness of KM in the digital age.

This study makes a unique contribution to the field of digital transformation. It presents a conceptual framework from the lens of the STS theory that encompasses four critical dimensions of KM: motivation, technology, people interaction and organizational dimensions, each with sub-codes. This framework can be utilized by practitioners and scholars alike.