Service Discovery Research Articles

Addressing Body Image Disturbance through Metaverse-Related Technologies: A Systematic Review

There is an increasing awareness about body image disturbance and eating disorders which calls for a multidisciplinary approach. The usefulness of new technologies for improving body image distortion has been addressed in the scientific literature, but has not included current strategies such as Metaverse-related technologies. Seemingly, this is the first systematic review which focuses on the efficacy of Metaverse-related technologies in reducing body image disturbance related to eating disorders like Anorexia nervosa and Bulimia nervosa. The main objective of this study was to review the scientific studies published in the last decade to answer the following three questions: (1) Are Metaverse-related technologies useful in mitigating body image disturbance in patients diagnosed with Anorexia nervosa and Bulimia nervosa? (2) What are the advantages and disadvantages? (3) Are the patients satisfied after using this kind of technology? The results obtained were that 80% of the included studies found metaverse-related technologies useful for the improvement in body image disturbance, in addition to various advantages, such as a decrease in eating disorder symptomatology. Whereas patient satisfaction was only evaluated in 20% of the included studies, with the majority of patients evaluating the use of metaverse-related technologies positively. We will conduct a systematic review of the peer-reviewed literature from EBSCO Discovery Service, and Web of Science (WOS), following the PRISMA statements. Only Journal articles published from 2013 to the present, written in the English language, will be reviewed. The findings are expected to offer valuable insights for the development of novel approaches for the improvement in body image disturbance in healthcare settings.

A Meta-Review to Guide Military Screening andTreatment ofGambling Problems.

Excessive gambling can cause substantial biopsychosocial problems (e.g., difficulties with finances, relationships, mental, and physical health). For military Service Members, it can also result in security clearance denial or revocation, failure to achieve promotions, and premature career termination. Recent congressional mandates have obligated the U.S. Department of Defense to screen for problematic gambling, the predictive values of which are a function of (i) problem prevalence and (ii) tool sensitivity and specificity. This meta-review (i.e., systematic review of systematic reviews) on the screening properties of gambling assessment tools and the effectiveness of treatments for gambling disorder is to inform military services on responding to Service Members' gambling problems. EBSCO Discovery Service, PubMed, PsycINFO, Ovid Medline, Social Care Online, Epistemonikos, International Health Technology Assessment, and the Cochrane Central Register of Controlled Trials electronic databases were searched up to December 2022 for systematic reviews and meta-analyses on measurements of adult subclinical or gambling, and interventions targeting individuals with GD. Three and four studies were included in each section of the current meta-review (i.e., assessment tools and treatment). For review 1, the estimated risk of bias was assessed using the Risk of Bias in Systematic Reviews. Thirty-one tools were identified through the three systematic reviews. All had modest sensitivities and specificities; combined with low prevalences in the general SM population, positive results would be incorrect 64-99% of the time. However, if screening were conducted with SMs referred for alcohol problems, a positive result on the best screening tools would be correct 76% of the time. Several commonly used treatment approaches had demonstrated efficacy for GD. The combination of low prevalence of GD and subclinical gambling problems in the general population, coupled with modest sensitivity and specificity, makes screening unfeasible in the general SM population. However, dual-phase screening in higher-prevalence subpopulations (i.e., SMs already identified with substance-abuse or mental-health problems) would be viable. Regarding treatment, several interventions-already used in military healthcare-with extensive empirical track records have been successfully used to treat adults with GD.

Influence of Libraries in the Discovery Services Process

Influence of Libraries in the Discovery Services Process

Grey Wolf Optimizer-based Decentralized Service Discovery in the Internet of Things Applications

Introduction: The Internet of Things (IoT) has emerged as a significant technology in recent years, wherein each object is equipped with sensors and applications that provide functionality through services. Due to the increasing benefits of heterogeneous objects with constrained resources in high environments, traditional service discovery approaches become impractical for dynamic IoT networks. Therefore, service discovery poses a considerable challenge for the Internet of Things. Methods: This paper introduces a novel decentralized discovery algorithm based on the Grey Wolf Optimizer (GWO) for IoT services. GWO is a recent metaheuristic in swarm intelligence designed to solve combinatorial optimization problems. Results: simulation results indicate that GWO achieves high discovery success with minimal steps required for service discovery. Conclusion: Our approach maintains its performance and exhibits good scalability as the number of objects increases in the decentralized approach for IoT.

Multimedia Transfer Over Wi-Fi Direct Based on Fuzzy Clustering for Vehicular Communications

Introduction: Wi-Fi Direct technology enables users to share services in groups, and support Service discovery at the data link layer before creating a P2P Group, and it can be used as a collaborative application integrated into vehicles for multimedia transfer and group configuration between V2X. Compared to cellular networks, Wi-Fi Direct offers a high transmission data rate at a cheaper cost. However, there are numerous hurdles to using Wi-Fi Direct in vehicles, including the fact that Wi-Fi Direct communication has a relatively small coverage area, disconnection may occur multiple times, and the distance between vehicles changes often in a moving setting, which negatively affects the quality of service delivery. Previous studies disregarded the motion and direction of moving objects. Methods: The main contribution of this paper is to use Wi-Fi Direct among vehicles to reduce reliance on the 5G network, thereby addressing the previous challenges. In particular, the main contribution of this paper is to introduce a set of scenarios based on different speeds, directions, and distances between vehicles. The state of the packets is monitored in each scenario to compute the packets delay and loss. We present a new contribution to the services discovery by providing V2V IE with a set of services that reflect the user's interest, such as Web pages, SMS, Audio links, and Video links, using the Generic Advertisement Protocol GAS, and a comparison between the traditional P2P IE and the new V2V IE. Furthermore, the paper introduces a stable Wi-Fi Direct Fuzzy C-Means FCM clustering method based on important parameters impacting the group formation, such as the location, the destination, the direction, the speed of the vehicle, and the user’s Interests List. Results: Based on the results of the FCM, there is still uncertainty in choosing the appropriate time to provide the services to the vehicles. We propose a Type-2 Fuzzy Logic Handover T2FLH system to solve the problem of handling uncertainty about dealing with the available services. Using the simulation on OMNeT++, the proposed scenarios with the fuzzy c-means FCM clustering method are compared to get the best clusters. Then the results were compared with the Type-2 Fuzzy T2FLH system to extract the best scenarios. Conclusion: We concluded from the results of previous experiments that Wi-Fi Direct can be used with vehicles at low speeds and high speeds. In the case of low speeds, it works efficiently depending on OMNET++ results. Therefore, Wi-Fi Direct can be used in vehicle stations and work sites that use limited-speed vehicles such as Clarks machines to alert safety and provide them with information about the devices around them. Bearing in mind that the speed of devices is limited in work areas. In the case of high speeds, the results are significantly improved using the proposed Type-2 fuzzy Logic Handover T2FLH system to model uncertainty and imprecision in a better way. Relying on T2FLH has led to a decrease in the rate of Packets Loss and Delay because the selection of the available services with previously specified time in the neighboring table became more accurate and avoiding uncertainty, depending on calculating the size of the data and the WFD signal strength conjunction with the distance and speed between the vehicles.

Scientific information discovery and access: A bibliographic review

This review study is based on original research studies investigating how scientific information is discovered and accessed. The study highlights the role of various platforms, including search engines, databases, repositories, web-scale discovery services, academic social media, and illegal platforms like Sci-Hub in this process. The results indicate that while libraries have implemented discovery services and repositories to increase their role in the discovery and access field, Google and Google Scholar are still the most popular options for discovering scientific information. Additionally, databases such as Web of Science, Scopus, and PubMed are also used by users, and newer platforms like ResearchGate and Sci-Hub have gained popularity for accessing scientific information

Agent-Based Model for Interpreting a Client Query as Part of Composite Web Service Discovery

Agent-Based Model for Interpreting a Client Query as Part of Composite Web Service Discovery

A Scoping Review of Female Genital Mutilation and its Effects on Sexual Function and Sexual Satisfaction

The practice of female circumcision (FC), particularly female genital mutilation/cutting (FGM/C), has been controversial as it is regarded as physically and mentally harmful and violates human rights. The purpose of this study is to perform a scoping review aiming to evaluate and compare the effects of FC and FGM/C on the sexual function of the affected women, including the Google Scholar, EBSCO Discovery Service, PubMed, ProQuest Health & Medical Complete, and Wiley Online Library between the year 1999 to 2020. The following keywords were used: ‘Female Circumcision’, ‘Female Genital Mutilation, ‘Female Genital Cutting’, ‘Female Circumcision and Sexual Function’, and ‘Female Circumcision and Sexual Satisfaction. A total of 72 articles related to FC and sexual function or satisfaction were retrieved, and 30 articles met the inclusion criteria. Based on the analysis of the final 30 articles, most of the articles described the detrimental effects of FGM/C on sexual function and sexual satisfaction. However, future studiesMaround the less invasive types of FGM/C are required to better reflect on FGM/C on female health. FGM is detrimental to female sexual satisfaction. However, a different method of FC that is less invasive may provide different outcomes. Therefore, a comprehensive guideline on proper FC techniques is needed for education among medical practitioners to prevent any adverse effects on sexuality.

Designing the routing level in microservice architectures on the Spring platform

The subject matter of research is the routing of requests in the microservice architecture. The goal of the article is to develop a target design concept for the level of request routing in the microservice architecture using the Spring technology stack as an example. Tasks: to analyse modern approaches to the structure of microservice architecture; programming of the routing entity and establishment of processes that ensure the routing of requests; programming stacks of Spring technologies that implement routing; design the routing layer of the application on the Spring platform. The following methods are used: analysis and synthesis to study technologies of interaction between services; abstraction and generalization to determine the structure of the microservice architecture, routing level, generalization of technologies that ensure interaction between services; modelling for the purpose of building a model of microservice architecture, highlighting the level of routing and connections with other structural models. The following results were obtained: the structure of the microservice architecture was investigated, in particular the level of routing; the role of design patterns that provide routing is defined: Service discovery, API Gateway, Load Balancer, etc.; the types of interprocess interaction (synchronous, asynchronous, hybrid) were analysed and the advantages and expediency of the application were determined; models of system fault tolerance are presented; a stack of technologies on the Spring platform is defined for the implementation of the routing layer; a model of a multi-level microservice architecture project was developed using the Spring technology stack, which implements the most effective solutions in the context of request routing. Conclusions: it is advisable to consider microservice architecture as a multi-level structure built on functional levels and connections between them; the level of microservices routing should include all processes related to the establishment of interprocess interaction, service detection, load balancing and fault tolerance, and the creation of a single entry point; Spring is a popular microservice architecture development tool platform that provides requirements for implementing request routing; the developed project model is an example of effective solutions for designing a multi-level architecture using the Spring technology stack in the context of request routing.

Boosting the visibility of services in microservice architecture

Monolithic software architectures are no longer sufficient for the highly complex software-intensive systems, which modern society depends on. Service Oriented Architecture (SOA) surpassed monolithic architecture due to its reusability, platform independency, ease of maintenance, and scalability. Recent SOA implementations made use of cloud-native architectural approaches such as microservice architecture, which has resulted in a new challenge: the discovery difficulties of services. One way to dynamically discover and route traffic to service instances is to use a service discovery tool to locate the Internet Protocol (IP) address and port number of a microservice. In the event that replicated microservice instances are found to provide the same function, it is crucial to select the right microservice that provides the best overall experience for the end-user. Parameters including success rate, efficiency, delay time, and response time play a vital role in establishing a microservice’s Quality of Service (QoS). These assessments can be performed by means of a live health-check service, or, alternatively, by making a prediction of the current state of affairs with the application of machine learning-based approaches. In this research, we evaluate the performance of several classification algorithms for estimating the quality of microservices using the QWS dataset containing traffic data of 2505 microservices. Our research also analyzed the boosting algorithms, namely Gradient Boost, XGBoost, LightGBM, and CatBoost to improve the overall performance. We utilized parameter optimization techniques, namely Grid Search, Random Search, Bayes Search, Halvin Grid Search, and Halvin Random Search to fine-tune the hyperparameters of our classifier models. Experimental results demonstrated that the CatBoost algorithm achieved the highest level of accuracy (90.42%) in predicting microservice quality.

Research and Application of Cross-media Knowledge Discovery Service Based on Deep Learning Model

Abstract With the diversification and complexity of multimedia data on big data, it becomes increasingly important to realize accurate and effective mutual retrieval among cross-media knowledge service data. In this paper, we first improve the structure of cross-media knowledge deep relevance analysis and apply it to cross-media data to construct cross-media relevance learning evaluation metrics. Then deep learning is commonly used for training classification labels or mapping vectors to another vector space by supervision, and with the rapid growth of data size and hardware resources, the advantages of deep learning in handling large-scale complex data will become more and more obvious. According to the experimental scheme to extract the features of the original data of Wikipedia and NUS-WIDE and the comparative analysis of the results based on the CCA extension method, the performance of CMC-DCCA on the dataset is 0.319, 0.338, 0.363, and 0.372, respectively, and it outperforms the other four algorithms. This study constructs a correlation analysis model between different media data to mine the correlations between cross-media data, thus realizing cross-media knowledge discovery service research while spawning more intuitive and concrete multimedia information carriers so that users can obtain more comprehensive information.

Movement variability in Pilates: a scoping review.

This scoping review aimed to identify studies that analyzed movement variability in Pilates. Following a systematic approach to mapping evidence on this topic would highlight concepts, theories, sources, and knowledge gaps in this area. This review used the Preferred Reporting Items for Systematic Reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) criteria for the selection, reading, and analysis of studies in this area. We searched five literature databases (Web of Science, SCOPUS, library catalog of the Faculty of Sport and Physical Education of the University of Coimbra-EBSCO Discovery Services, MEDLINE, and Google Scholar). Eligible articles contained the word "Pilates," and the human movement variability was analyzed. Any type of study (except reviews) could be eligible and must have been published between 1 January 2002 and 30 November 2022, in Portuguese, Spanish, French, or English. Our search identified five eligible entries. Only one study used the Pilates method in its intervention, pointing to a more significant variability of hip-knee coordination, suggesting more diversified coordination patterns, and maintaining the variability of the angular position of the joint. Very few studies have examined movement variability in Pilates, and only one applied an ecological framework.

Enabling Space-Aware Service Discovery Model in Home Networks through a Compatible Extension to mDNS/DNS-SD

The advent of the smart home, fueled by the rapid emergence of tiny embedded IoT devices and sensors, brings the consideration of space and location information to the forefront of service discovery. In a smart home environment, spaces often have composite capabilities and complex structures. Since residents may have varying preferences based on their location within different spaces, traditional service discovery results may be suboptimal without considering the spatial context. This paper introduces a seamless approach to integrate space and location information with mDNS/DNS-SD, a widely utilized service discovery protocol in home networks. We provide a formal specification for this approach, develop a prototype, and perform a series of experiments to evaluate the efficacy and potential of the proposed method.

Determinants of using AI-powered discovery services

In 2023 the scholarly communities are witnessing a spring of Artificial Intelligence (AI) powered tools for scientific work. Scholars are tempted to integrate various time-saving AI applications in their workflow, from data analysis to disseminating research results. Among these novel “research assistants”, several enhanced discovery services apply machine learning to identify the most relevant results for the information seeker and visualize them to the user in innovative ways. The rapid emergence of these tools has raised concerns about the impact of AI technology on scientific research and led to requirements of transparency, accountability, and explainability of the new AI tools. From the systems viewpoint, responsibility for the impact of technology extends beyond developers to the broader society. The user communities, including librarians providing services for academia, are considered counterparts in the effects of AI technology systems. Individuals decide how they behave with the new information technology, for example, whether they trust the system and its outcome. Thus, an individual user is also part of the socio-technical evolution of building transparent, accountable, and explainable AI. In this study, we explore the challenges of adopting AI tools in scientific research on the level of an individual librarian working for academia. We aim to detect poorly addressed mindsets around explainability, fairness, and privacy, named “blind spots” in AI ethics (Hagendorff, 2022). The goal is to understand the “determinants” of librarians’ information behavior with novel AI tools. We focus on two AI-powered visual discovery services: openknowledgemaps.org and www.litmaps.com. These tools help users to navigate and analyze research articles as concept graphs. In this poster, our primary research question is: What are the determinants of librarians’ intentions when they adopt/use new AI-powered tools? We conducted an expert evaluation (Tessmer, 1993) on these two discovery services using the Theory of Planned Behavior (TPB) as a theoretical framework that explains human behavior through three individual beliefs: attitudes, norms, and control. This framework helped us detect new “blind spots” in the behavioral determinants that have remained unnoticed in the recent discourses about AI ethics in libraries. Our study indicated a lack in the area of normative beliefs, a “blind spot”: The social pressure to quickly adopt the newest technology and the lack of library-specific norms for using AI in academia may become a handicap for an individual librarian who contemplates whether or not to use an AI tool.

I Know Something You Don’t Know: The annotation saga continues…

Over the past 20 years, the biodiversity informatics community has pursued components of the digital annotation landscape with varying degrees of success. We will provide an historical overview of the theory, the advancements made through a few key projects, and will identify some of the ongoing challenges and opportunities. The fundamental principles remain unchanged since annotations were first proposed. Someone (or something): (1) has an enhancement to make elsewhere from the source where original data or information are generated or transcribed; (2) wishes to broadcast these statements to the originator and to others who may benefit; and (3) expects persistence, discoverability, and attribution for their contributions alongside the source. The Filtered Push project (Morris et al. 2013) considered several use cases and pioneered development of services based on the technology of the day. The exchange of data between parties in a universally consistent way necessitated the development of a novel draft standard for data annotations via an extension of the World Wide Web Consortium’s Web Annotation Working Group standard (Sanderson et al. 2013) to be sufficiently informative for a data curator to confidently make a decision. Figure 2 from Morris et al. (2013), reproduced here as Fig. 1, outlines the composition of an annotation data package for a taxonomic identification. The package contains the data object(s) associated with an occurrence, an expression of the motivation(s) for updating, some evidence for an assertion, and a stated expectation for how the receiving entity should take action. The Filtered Push and Annosys (Tschöpe et al. 2013) projects also considered implementation strategies involving collection management systems (e.g., Symbiota) and portals (e.g., European Distributed Institute of Taxonomy, EDIT). However, there remain technological barriers for these systems to operate at scale, the least of which is the absence of globally unique, persistent, resolvable identifiers for shared objects and concepts. Major aggregation infrastructures like the Global Biodiversity Information Facility (GBIF) and the Distributed System of Scientific Collections (DiSSCo) rely on data enhancement to improve the quality of their resources and have annotation services in their work plans. More recently, the Digital Extended Specimen (DES) concept (Hardisty et al. 2022) will rely on annotation services as key components of the proposed infrastructure. Recent work on annotation services more generally has considered various new forms of packaging and delivery such as Frictionless Data (Fowler et al. 2018), Journal Article Tag Suite XML (Agosti et al. 2022), or nanopublications (Kuhn et al. 2018). There is risk in fragmentation of this landscape and disenfranchisement of both biological collections and the wider research community if we fail to align the purpose, content, and structure of these packages or if these fail to remain aligned with FAIR principles. Institutional collection management systems currently represent the canonical data store that provides data to researchers and data aggregators. It is critical that information and/or feedback about the data they release be round-tripped back to them for consideration. However, the sheer volume of annotations that could be generated by both human and machine curation processes will overwhelm local data curators and the systems supporting them. One solution to this is to create a central annotation store with write and discovery services that best support the needs of all stewards of data. This will require an international consortium of parties with a governance and technical model to assure its sustainability.

Service Providing Online Platform Near to Me

This research paper presents a comprehensive study on the implementation and impact of the "Service Providing Online Platform Near to Me" project, which aims to simplify the process of finding local service providers by utilizing location-based services. The project's objective is to enhance user experience, increase the visibility of service providers, foster trust through reviews and ratings, and improve access to essential services. Through an in-depth literature survey, the paper examines related work in location-based service discovery, service quality evaluation, and geographic information systems. The proposed methodology outlines the key steps involved in database design, geographic information systems utilization, web development, and data analysis. The proposed system demonstrates advantages such as increased convenience for clients and enhanced opportunities for service providers

The Effectiveness of Dynamic Probabilistic Flooding in On-Demand Routing Protocols for MANETs was Assessed Through a Performance Analysis

In mobile ad hoc networks (MANET), broadcasting is widely used in route discovery and many other network services. The efficiency of broadcasting protocol can affect the performance of the entire network. As such, the simple flooding algorithm aggravates a high number of unnecessary packet rebroadcasts, causing contention and packet collisions. Proper use of probabilistic method can reduce the number of rebroadcasting, therefore reduce the chance of contention and collision among neighboring nodes. A good probabilistic broadcast protocol can achieve high save rebroadcast and low collision. In this paper, we propose a dynamic probabilistic approach when nodes move according to way point mobility and compare it with simple flooding AODV and fixed probabilistic scheme. Our approach dynamically set the rebroadcasting probability according to the number of nieghbors nodes distributed in the ad hoc network. Simulation results show our approach performs better than both simple flooding and fixed probabilistic flooding.

Water Quality Monitoring Using Physical Web Concept and Alert via Whatsapp Messenger

Abstract: Monitoring water quality plays a crucial role in safeguarding human health, Industrial equipment and aquatic life such as in aquarium. In this research paper we have present a low-cost and unique demonstration of real-time water quality monitoring using physical web concept and alert to user by WhatsApp if water quality is Low. Physical web concept is a broadcast and discovery service in that, smart object broadcasts relevant information that nearby mobile devices can discover to interact with that object. Using physical web user can digitally interact with object and service without much effort that user feels in conventional method of interaction with object. The TDS and Ph is the important factor for the water quality monitoring among the many other factors. This system utilizes the TDS and Ph sensors to measure and monitor the quality of water. The collected quality monitoring data is processed by the ESP32 and make the decision to sends low-quality alert via WhatsApp to designated users. The system aims to provide a reliable and user-friendly solution for monitoring water quality, enabling timely interventions and minimizing risks associated with it using the physical web concept and Internet of Things (IoT)

A SCOPING REVIEW OF THE ROLE OF SPIRITUALITY IN DEALING WITH LOSS AND GRIEF AMONG CANCER PATIENTS

Cancer is one of the most commonly occurring terminal illnesses across the globe affecting millions of people and their loved ones. When someone experiences such a terminal illness, the experience is negatively perceived creating a loss and grief reaction which affects the persons psychospiritual aspects of life. Many patients and caregivers adopt various coping strategies including spiritual concepts. Hence this study aims to review existing literature to understand the role of spirituality in dealing with the loss and grief experiences of cancer patients. A search on Ebsco Discovery Service was conducted for peer-reviewed, English, full-text academic articles between January 2017 to December 2020. A total of 602 articles were found, out of which 13 articles were accepted after screening for eligibility. Allthese 13 articles are reported in this paper. From the 13 articles major 4 themes were extracted which are, belief in God, having faith and hope, Spiritual acts, and comfort through a higher power.

A framework for REST services discovery and composition

A framework for REST services discovery and composition