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The potential of vehicle ad hoc networks (VANETs) to improve driver and passenger safety and security has made them a hot topic in the field of intelligent transportation systems (ITSs). VANETs have different characteristics and system architectures from mobile ad hoc networks (MANETs), with a primary focus on vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication. But protecting VANETs from malicious assaults is crucial because they can undermine network security and safety.

The black hole attack is a well-known danger to VANETs. It occurs when a hostile node introduces phony routing tables into the network, potentially damaging it and interfering with communication. A safe ad hoc on-demand distance vector (AODV) routing protocol has been created in response to this issue. By adding cryptographic features for source and target node verification to the route request (RREQ) and route reply (RREP) packets, this protocol improves upon the original AODV routing system.

Through the use of cryptographic-based encryption and decryption techniques, the suggested method fortifies the VANET connection. In addition, other network metrics are taken into account to assess the effectiveness of the secure AODV routing protocol under black hole attacks, including packet loss, end-to-end latency, packet delivery ratio (PDR) and routing request overhead. Results from simulations using an NS-2.33 simulator show how well the suggested fix works to enhance system performance and lessen the effects of black hole assaults on VANETs.

All things considered, the safe AODV routing protocol provides a strong method for improving security and dependability in VANET systems, protecting against malevolent attacks and guaranteeing smooth communication between cars and infrastructure.

Mobile technologies (MT) have been attracting the attention of academic library stakeholders for some time, as it is considered a strong communication channel that can offer advanced library services. Furthermore, MT can offer a number of flexible options for library users. Accordingly, the overarching aim of this research is to investigate the potentials of implementing MT within academic libraries in public universities in Jordan from library staff viewpoint. Exploring library staff expectation of MT to enhance library services is another aim. It is also important to investigate the effects of external factors such age, job title, educational level and experience on library staff perception of MT use and role in academic libraries in Jordan.

Using a case study design, a questionnaire was developed and disseminated to all library staff (n = 174) within ten public universities. Some 121 responses were received.

The study indicates that there is a high level of awareness of the advantages of using MT in academic libraries in Jordan. However, the research also reveals that, although library staff are aware of the role and value of MT within the academic library environment, MT has not yet been fully exploited in these environments in Jordan for various reasons. These include incompatible information technology infrastructure and a lack of training. As a result, these libraries need to invest more in MT and enhance the use of technologies among their users to raise their performance and the quality of services that they offer. Such enhancements could lead to more meaningful interactions with users and a better overall user experience.

This study investigated awareness levels among library staff of MT to provide library services. Users perspectives regarding receiving library services on mobile devices have not been explored. MT should be assessed from user perspective to understand how MT might enhance academic library services. Library staff could also be interviewed to explore these issues in closer detail. Library and Information Science departments might also upgrade their curricula and include MT application development in library courses.

This study fills a gap in MT research in the context of library services, as it is the first such attempt to conduct research into this topic in the Middle East in general, and in Jordan specifically.

With the advent of AI-federated technologies, it is feasible to perform complex tasks in industrial Internet of Things (IIoT) environment by enhancing throughput of the network and by reducing the latency of transmitted data. The communications in IIoT and Industry 4.0 requires handshaking of multiple technologies for supporting heterogeneous networks and diverse protocols. IIoT applications may gather and analyse sensor data, allowing operators to monitor and manage production systems, resulting in considerable performance gains in automated processes. All IIoT applications are responsible for generating a vast set of data based on diverse characteristics. To obtain an optimum throughput in an IIoT environment requires efficiently processing of IIoT applications over communication channels. Because computing resources in the IIoT are limited, equitable resource allocation with the least amount of delay is the need of the IIoT applications. Although some existing scheduling strategies address delay concerns, faster transmission of data and optimal throughput should also be addressed along with the handling of transmission delay. Hence, this study aims to focus on a fair mechanism to handle throughput, transmission delay and faster transmission of data. The proposed work provides a link-scheduling algorithm termed as delay-aware resource allocation that allocates computing resources to computational-sensitive tasks by reducing overall latency and by increasing the overall throughput of the network. First of all, a multi-hop delay model is developed with multistep delay prediction using AI-federated neural network long–short-term memory (LSTM), which serves as a foundation for future design. Then, link-scheduling algorithm is designed for data routing in an efficient manner. The extensive experimental results reveal that the average end-to-end delay by considering processing, propagation, queueing and transmission delays is minimized with the proposed strategy. Experiments show that advances in machine learning have led to developing a smart, collaborative link scheduling algorithm for fairness-driven resource allocation with minimal delay and optimal throughput. The prediction performance of AI-federated LSTM is compared with the existing approaches and it outperforms over other techniques by achieving 98.2% accuracy.

With an increase of IoT devices, the demand for more IoT gateways has increased, which increases the cost of network infrastructure. As a result, the proposed system uses low-cost intermediate gateways in this study. Each gateway may use a different communication technology for data transmission within an IoT network. As a result, gateways are heterogeneous, with hardware support limited to the technologies associated with the wireless sensor networks. Data communication fairness at each gateway is achieved in an IoT network by considering dynamic IoT traffic and link-scheduling problems to achieve effective resource allocation in an IoT network. The two-phased solution is provided to solve these problems for improved data communication in heterogeneous networks achieving fairness. In the first phase, traffic is predicted using the LSTM network model to predict the dynamic traffic. In the second phase, efficient link selection per technology and link scheduling are achieved based on predicted load, the distance between gateways, link capacity and time required as per different technologies supported such as Bluetooth, Wi-Fi and Zigbee. It enhances data transmission fairness for all gateways, resulting in more data transmission achieving maximum throughput. Our proposed approach outperforms by achieving maximum network throughput, and less packet delay is demonstrated using simulation.

Our proposed approach outperforms by achieving maximum network throughput, and less packet delay is demonstrated using simulation. It also shows that AI- and IoT-federated devices can communicate seamlessly over IoT networks in Industry 4.0.

The concept is a part of the original research work and can be adopted by Industry 4.0 for easy and seamless connectivity of AI and IoT-federated devices.

Neonatal healthcare is a critical issue in public health management. The purpose of this paper is to analyze neonatal health in South Asia. This paper specifically examines the neonatal period of an infant's development, the time from birth to the first 28 days, and the importance of providing each newborn with the necessary vaccines, treatments, and care they may require. In addition to examining neonatal health and those diseases/problems that afflict children without proper care, a closer look will be taken at Southern Asia, where research shows nearly 75 percent of the neonatal deaths that take place in the world, occur.

An extensive literature review using recently published works, government documents, and organizational reports is employed. The research is based on case studies of six South Asian countries and several international participating agencies and non‐governmental organizations working on the improvement of neonatal health.

The research shows that the majority of the countries in this region lack the funds necessary to provide aide, health services, and other preventative care to their populations. Without the global attention, intervention, and resources provided by these organizations, any progress made in the area of neonatal health in these regions will continue to be hampered. A social marketing framework designed to address this critical public health challenge is presented.

In the modern world, much advancement has been made in terms of neonatal and maternal health and well‐being. As the years have passed, the world has seen many improvements on clinical procedures, health policies and regulations, the quality of training for doctors, nurses, and related specialists, and the various pieces of medical equipment used throughout those hospitals and clinics located within the developing world. Unfortunately, data provided by various research efforts have shown that neonatal mortality continues to occur at high rates throughout countries in South Asia. Individuals in these countries lack access to health care, health education, and other essential components that influence a mother's ability to produce a healthy child and keep that child safe and illness/issue free throughout this fragile period.

The established global understanding of inclusive education often positions the antithesis of inclusion as segregation, exclusion, marginalisation and its multiple variants. Drawing local articulations from Sri Lanka, this chapter positions the politics of disposability as the primary agitator of inclusive education. The purpose of this chapter is to describe the ways in which disposability is constructed within school systems by imposing deficit frames on students deemed disposable while simultaneously using the same to provide escape routes to those who are deemed worthy. As a result, these realities perpetuate the politics of disposability which incessantly pummels progress toward inclusive education, calling into question established tenets of inclusive education. This chapter draws from a study conducted in Sri Lanka using critical institutional ethnographic inquiry and participatory action research. Specifically, this chapter highlights teacher narratives as commentary on the complex ways in which sociocultural, historical conditions shape their everyday decision making in communities of practice (Lave & Wenger, 1991). Teachers and students described the ways in which students became constructed and confined to disposability based on their backgrounds and assumed deficits.

The purpose of this paper is to observe the thermal and colour stabilities of coating films consisting of natural dye anthocyanin colourant with acid and nitrate salt as additives.

The natural dye was extracted from Hibiscus sabdariffa L. (Roselle) by using distilled water as solvent. The extracted dye was mixed with 1 weight per cent hydrochloric acid and 5 weight per cent calcium nitrate to conduct the comparison study. The dye samples were than mixed with poly (vinyl alcohol) (PVA). The mixtures were applied on glass panels to form coating films. The coating films were left to dry for 24 hours. The thermal stability of coating films was investigated by using thermogravimetric analysis (TGA). The amorphousness coating films molecular structures were observed by using x-ray diffraction (XRD). CIE L*a*b* colour coordinate space technique was used to investigate the coating films colour stability against ultraviolet (UV).

The results show that addition of hydrochloric acid (HCl acid) enhanced thermal stability of PVA-anthocyanin coating and shifted the degradation temperature to higher temperature at 300°C. HCl acid also improved UV stability of the coating system significantly with the reduced ΔE from 26.67 to 16.89. Addition of calcium nitrate (Ca(NO₃)₂) salt promotes good interaction with PVA-anthocyanin system that caused structural changes, improved thermal stability and increased T_g from 61.5 to 83.1°C.

The potential of using natural dye extracted from plant as renewable material.

The coating films developed in this works are suitable for glass substrate application.

Development of water-based coating from PVA binder with anthocyanin colourant is introduced in this study.

To examine a simple testing method of measuring the force to pull a fabric through a series of parallel pins to determine the fabric softness property.

A testing system was setup for fabric pulling force measurements and the testing parameters were experimentally determined. The specific pulling forces were compared with the fabric assurance by simple testing (FAST) parameters and subjective softness ranking. Their correlations were also statistically analyzed.

The fabric pulling force reflects the physical and surface properties of the fabrics measured by the FAST instrument and its ability to rank fabric softness appears to be close to the human hand response on fabric softness. The pulling force method can also distinguish the difference of fabrics knitted with different wool fiber contents.

Only 21 woven and three knitted fabrics were used for this investigation. More fabrics with different structures and finishes may be evaluated before the testing method can be put in practice.

The testing method could be used for objective assessment of fabric softness.

The testing method reported in this paper is a new concept in fabric softness measurement. It can provide objective specifications for fabric softness, thus should be valuable to fabric community.

This study aims to examine the impact of information and communication technologies (ICT) usage with mobile technologies and e-learning in academic libraries.

Selection of appropriate resources using the Communication and Mass Media, EBSCO, Web of Science and Library Literature and Information Science Fulltext databases.

The “Library as place” concept requires libraries to explore and re-purpose its physical space while redefining its virtual, online space to align with the needs of those who are native to the digital age. Library information specialists (LIS) must also be knowledgeable of – and comfortable with – the use of the new technologies introduced. As mobile technologies continue to evolve and advance in developing countries, libraries and LIS may be best positioned to assist students and researchers in accessing information required to be proficient and productive in scholarly pursuits without physical boundaries.

The existing research literature surveyed here implies that the growth of ICT and evolving concepts of libraries require the need for LIS training and greater understanding of the use of mobile technologies in providing academic library services.

Academic librarians are at the forefront of providing aspiring academics and professionals with access to digital collections and e-learning courses using mobile information communication and technology devices; the implications of the research discussed in this survey of the current literature discloses a need for diverse skills for the appropriate and continuing effectiveness to support students and academic researchers.

Partial shading causes significant power decreases in the PV systems. The purpose of this paper is to address this problem, connectivity regulation is designed to reduce partial shading problems.

In this approach, the partial shading was estimated and dispersed evenly on the whole array by global shade dispersion technique (GSD). The grey wolf algorithm was implemented for the interconnection of arrays by an efficient switching matrix.

After the implementation of the GSD technique using a grey wolf algorithm, the performance under different shading conditions was analyzed using the MatLab simulation tool. The results were compared with total cross-tied (TCT), Su Do Ku and the proposed method of reconfiguration, where the proposed method improves the maximum power of the PV system appropriately.

This methodology uses any size of PV systems.

Replacement of conventional energy systems with renewable energy systems such as solar helps the environment clean and green.

The GSD interconnection scheme using the grey wolf optimization algorithm has proved an improved output performance compared with the existing TCT and Sudoku based reconfiguration techniques. By comparing with existing techniques in literature, the proposed method is more advantageous for reducing mismatch losses between the modules of any size of the PV array with less operating time.

Indium tin oxide (ITO) is a material belonging to the group of transparent conductive oxides, which are widely used in many fields of technology including optoelectronics and photovoltaics. However, the properties of ITO thin films depend on many factors. Therefore, the aim of the study was thorough investigation of the properties of sputtered ITO thin films of various thicknesses.

ITO coatings were deposited by magnetron sputtering in pure argon atmosphere using ceramic ITO target. Various deposition times resulted in obtaining thin films with different thickness, which had significant influence on the optoelectronic properties of deposited coatings. In this work the results of investigation of structural, surface, optical and electrical properties were presented.

Increase of the coating thickness caused change of the microstructure from amorphous to nanocrystalline and occurrence of grains with a size of 40 to 60 nm on their surface. Moreover, the fundamental absorption edge was red-shifted, whereas the average transmission in the visible wavelength range remained similar. Increase of the thickness caused considerable decrease of the sheet resistance and resistivity. It was found that even thin films with a thickness of 10 nm had antistatic properties.

The novelty and originality of presented work consists in, among other, determination of antistatic properties of ITO thin films with various sheet resistances that are in the range typical for dielectric and semiconducting material. To date, there are no reports on such investigations in the literature. Reported findings might be very helpful in the case of, for example, construction of transparent antireflective and antistatic multilayers.