Candidate Services Research Articles

MOTIVATIONAL ORIENTATION OF THE PERSONALITY OF CANDIDATESFOR SERVICE IN THE INTERNAL AFFAIRS BODIES AS A DETERMINANT

The article actualizes the problem of motivational orientation of candidates for service in the internal affairs bodies. The results of an empirical study of the orientation of personal news and the factors of attractiveness of the profession of candidates for service in the internal affairs bodies are presented.

A Hybrid Strategy Improved Whale Optimization Algorithm for Web Service Composition

AbstractWith the rapid growth of the number of web services on the Internet, various service providers provide many similar services with the same function but different quality of service (QoS) attributes. It is a key problem to be solved urgently to select the service composition quickly, meeting the users’ QoS requirements from many candidate services. Optimization of web service composition is an NP-hard issue and intelligent optimization algorithms have become the mainstream method to solve this complex problem. This paper proposed a hybrid strategy improved whale optimization algorithm, which is based on the concepts of chaos initialization, nonlinear convergence factor and mutation. By maintaining a balance between exploration and exploitation, the problem of slow or early convergence is overcome to a certain extent. To evaluate its performance more accurately, the proposed algorithm was first tested on a set of standard benchmarks. After, simulations were performed using the real quality of web service dataset. Experimental results show that the proposed algorithm is better than the original version and other meta-heuristic algorithms on average, as well as verifies the feasibility and stability of web service composition optimization.

54. Self-Perception of Risk for HIV Acquisition and Calculated Risk for HIV Acquisition Among Active Duty Air Force Members with Newly Diagnosed HIV Infection

BackgroundPersons may underestimate their risk of HIV infection despite presence of risk factors. Accurate appraisal of HIV risk may assist both patients and providers in preventing HIV acquisition. We evaluated self-perceived risk (SPR) versus calculated risk (CR) of HIV infection in active duty US Air Force (USAF) members with incident HIV infection.MethodsUSAF members with new HIV diagnosis evaluated at a specialty care military medical center between January 2015-March 2020 with available case report forms were included (n=142). Chart reviews were performed and demographic, social, and clinical characteristics were collected from initial Infectious Disease specialty encounters and case report forms. SPR was characterized as Low or High and compared to CR derived by the Denver HIV Risk Score (DHRS) by points based on patient demographic and risk exposure characteristics.ResultsOverall, patients were predominantly male (98%), with a median age of 26 years (IQR 22-30), and the majority (85%) reported same-sex partners (Table 1). Patients more commonly characterized themselves as Low SPR (n=78; 55%) than High SPR (n=64; 45%). Demographic characteristics were similar except a higher proportion of Low SPR patients (29%) were married or partnered compared to High SPR patients (14%; p=0.04). There was no difference in self-reported condom use (≥50% of the time) between Low (63%) and High (72%) SPR patients (p=0.28) and documented history of sexually transmitted infections was similarly high in both groups ( >70%; p=0.85). Previous HIV pre-exposure prophylaxis (PrEP) use was uncommon in both Low SPR (8%) and High SPR (6%) groups. For the evaluation of CR by DHRS (Table 2), both Low and High SPR groups had median scores in the very high risk category (≥50 points) with similar results by test component. ConclusionUSAF members with incident HIV infection more commonly identified with low SPR despite similar risk behaviors and CRs as high SPR patients. The development of patient education programs and promotion of HIV prevention services including PrEP are needed to reduce incident HIV cases in the USAF. Validated HIV risk calculators like the DHRS may also assist medical providers in identifying candidates for HIV prevention services.Disclosures All Authors: No reported disclosures

How Can Transactional Semantics Enhance the Commit Rate of Context-aware Service Composition in Advanced Pervasive Systems?

Context-aware composition of services exhibiting transactional properties poses several challenges. A major challenge is the transactional behavior of candidate services which is subject to perpetual change while the composition is running. Compositions of services displaying transactional properties must be dynamically adapted at run time to cope with context fluctuations. By dynamic adaptation, we refer to the ability to alter the composition behavior in response to changes affecting its execution. We focus on changes impacting the successful commit rate of transactional service composition. This has led us to explore the trail of a flexible homeomorphism between alternative behaviors. We propose a behavioral adaptation approach that adjusts the behavior of transactional compositions of services in a proactive and transparent manner. This strategy is based on the Profiled Task Class concept. A service composition generator has also been developed for the performance evaluation of components implementing the behavioral adaptation strategy in order to identify its impact on the commit rate of CATS compositions.

The Implementation of Regional Regulations in the Process of Filling in the Village Civil Service

The purpose of this study, firstly, is to describe the process of filling in the Village Civil Service Officer in Sleman Regency, Yogyakarta Special Region and secondly to find out whether the mechanism for filling out the Village Civil Service Officer is in accordance with Regional Regulation No. 10 of 2019. This research is an empirical legal research, namely legal research that examines and analyzes people's behavior in relation to the law. The approach method uses a juridical, sociological approach. Methods of data collection through literature study, interviews and observations, then the data were analyzed by qualitative descriptive method. The results of the study concluded that the process of filling in the village civil service in Sleman Regency: The village head formed an appointment committee to conduct screening and screening through the selection of administrative requirements and administering the exam. Furthermore, the results of the selection of candidates for village civil service at least 2 (two) candidates based on the highest score are requested for consultation with the sub-district head to obtain a recommendation to be appointed as village administrator. 10 of 2019 can be applied according to the rules, namely the formation of a committee, administrative selection, exam materials, a team of examiners, but there are still weaknesses, including the requirements for candidates who are considered burdensome, must be supported by at least 15% of the population, lack of socialization, the existence of several villages that are less open in the process of filling the village civil service.

A Hybrid Service Ranking Based Collaborative Filtering Model on Cloud Web Service Data

INTRODUCTION: Trust is an important indicator in the cloud computing environment for service selection and recommendation. It is a difficult task to create a composite value-added service from several candidate services for the desired objectives due to the dramatic gr

Hi-Tech-Oriented National Service: The Free Choice of Religious Women Recruits and the De-Monopolization of the Israeli Military

In recent years, Israel has witnessed two significant processes that challenge the dominant republican discourse that prioritizes military over national-civic service (known as The Israeli national-civilian service—NCS)in terms of contributing the constitution of citizenship and of the material and symbolic convertibility offered to service candidates. The first is related to the expanding range of roles offered in the NCS. The second, related process, which is our current focus, occurs among young religious women from the urban upper-middle class who respond to this expansion by seeking to serve in technological roles, given their high qualifications. Combined, these processes transform the status of the NCS and accelerate the de-monopolization of military service. To examine the contribution of religious young women to the change in the status of service in Israel, we conducted a narrative analysis of interviews with service candidates. Our analysis revealed their strategic use of four different discourses: the neo-liberal economic discourse, the liberal rights and self-realization discourse, the ethnonational discourse, and the religious gender discourse. The way the participants negotiated the four discourses to justify their selection of either military or national-civic service structured their agency as actors transforming the power equation between the two types of service.

Використання міжнародного досвіду в системі добору пенітенціарного персоналу України

The peculiarities of candidates’ selection for work in the State Criminal and Executive Service of Ukraine are considered in the article. The statutory regulations that determine the requirements for applicants to serve in the SCES of Ukraine, among which the leading place is occupied by the Law of Ukraine “On the SCES of Ukraine” and the Law of Ukraine “On National Police” are analyzed. The advantages and disadvantages in the functioning of the domestic system of requirements for candidates for work in the SCES of Ukraine are revealed. Enough attention is paid to the Ukrainian and foreign approaches to the staffing of the Penitentiary System. The standard of requirements for candidates for employment in the Penitentiary System, enshrined in international legal acts, is analyzed, as well as the requirements for candidates for employment in such countries as Germany, Switzerland, Iceland, Austria, Canada and Denmark, which are not typical for the Ukrainian Penitentiary System, are considered and analyzed. In order to improve the current legislation governing the selection of persons to the SCES of Ukraine, the article provides a comparative analysis of the procedure for staffing foreign and Ukrainian penitentiary bodies and institutions, as well as the requirements for candidates for the SCES of Ukraine and foreign Penitentiary Systems. Due to this, promising approaches to improving the quality of staffing of the Penitentiary System of Ukraine are revealed and the feasibility of using foreign experience in recruiting for the penitentiary system of Ukraine is substantiated, as well as the changes to current legislation setting requirements for candidates for SCES of Ukraine are proposed. At the same time, it is emphasized that borrowing positive foreign experience of completing penitentiary positions requires amendments to the current legislation of Ukraine, as well as synchronization with the peculiarities of the Ukrainian Penitentiary System by creating a pilot project in order to actually test the results of world analysis, monitoring and tracking the changes, on the basis of which it will be possible to make further decisions. The expediency of creating a separate statutory regulation, the purpose of which is to regulate the procedure for passing the military medical commission exclusively by candidates for service in the SCES of Ukraine and junior enlisted as well as the command staff of the SCES of Ukraine, is substantiated. Key words: penitentiary system, personnel, vacant position, position requirements, selection system.

Обеспечение безопасности органов внутренних дел в ходе профессионального психологического отбора на службу с помощью полиграфных устройств

the article discloses the main results of the study, describing the dependence of the presence of risk factors on the personal characteristics of candidates for service in the internal affairs bodies in the process of conducting a special psychophysiological study using a polygraph.
 The main conclusions in this study were obtained using comparative, qualitative, correlation and frequency analyses, which is confirmed by the existence of numerous relationships of personal characteristics, according to which the presence or absence of risk factors can be predicted. This empirical study has made it possible to draw up a table of the distribution of specific gravity and a formula according to which an employee working with printing devices can calculate the probability of identifying a risk factor in each candidate for service in the internal affairs bodies on the basis of a psychological examination. The obtained data on the results of the methods used, describing various aspects of the external manifestations of a person, were presented by groups, in matrix form and analyzed by a number of indicators such as: the risk factor was not identified, the risk factor was identified, and in groups where the result was not determined, but there is a suspicion of the presence of a risk factor. Data were compared with intergroup measures of personality traits. Analysis of personality characteristics showed that in a sample of candidates for service, the most important of the suitability markers correlate with personal features. An employee working with printing devices at the stage of familiarization with the candidate's questionnaire, analyzing his personal and business qualities, can predict, with a high degree of probability, the identification of risk factors, even before the start of the study using a polygraph, or the manifestation of various kinds of opposition, in order to hide the identification of risk factors.
 The use of this formula by psychologists and polygraphologists in professional psychological selection greatly contributes to ensuring the safety of internal affairs bodies at the stage of personnel screening, which is aimed at detecting and preventing emergency incidents among the personnel of internal affairs bodies and occupies a decisive role in forming a positive image of the Ministry of Internal Affairs.

Associated Probabilities in Interactive MADM under Discrimination q-Rung Picture Linguistic Environment

In some multi-attribute decision-making (MADM) models studying attributes’ interactive phenomena is very important for the minimizing decision risks. Usually, the Choquet integral type aggregations are considered in such problems. However, the Choquet integral aggregations do not consider all attributes’ interactions; therefore, in many cases, when these interactions are revealed in less degree, they do not perceive these interactions and their utility in MADM problems is less useful. For the decision of this problem, we create the Choquet integral-based new aggregation operators’ family which considers all pair interactions between attributes. The problem under the discrimination q-rung picture linguistic and q-rung orthopair fuzzy environments is considered. Construction of a 2-order additive fuzzy measure (TOAFM) involves pair interaction indices and importance values of attributes of a MADM model. Based on the attributes’ pair interactions for the identification of associated probabilities of a 2-order additive fuzzy measure, the Shapley entropy maximum principle is used. The associated probabilities q-rung picture linguistic weighted averaging (APs-q-RPLWA) and the associated probabilities q-rung picture linguistic weighted geometric (APs-q-RPLWG) aggregation operators are constructed with respect to TOAFM. For an uncertainty pole of experts’ evaluations on attributes regarding the possible alternatives, the associated probabilities of a fuzzy measure are used. The second pole of experts’ evaluations as arguments of the aggregation operators by discrimination q-rung picture linguistic values is presented. Discrimination q-rung picture linguistic evaluations specify the attribute’s dominant, neutral and non-dominant impacts on the selection of concrete alternative from all alternatives. Constructed operators consider the all relatedness between attributes in any consonant attribute structure. Main properties on the rightness of extensions are showed: APs-q-RPLWA and APs-q-RPLWG operators match with q-rung picture linguistic Choquet integral averaging and geometric operators for the lower and upper capacities of order two. The conjugation among the constructed operators is also considered. Connections between the new operators and the compositions of dual triangular norms (Tp,Spq) and (Tmin,Smax) are also constructed. Constructed operators are used in evaluation of a selection reliability index (SRI) of candidate service centers in the facility location selection problem, when small degree interactions are observed between attributes. In example MADM, the difference in optimal solutions is observed between the Choquet integral aggregation operators and their new extensions. The difference, however, is due to the need to use indices of all interactions between attributes.

Changes in community providers' screening behaviours, referral practices, and clinical confidence following participation in an early psychosis educational campaign.

Successful delivery of care to individuals with early psychosis depends on the ability of community providers to identify and refer appropriate candidates for services. Although specialty centres commonly rely upon education and outreach campaigns to building bridges with community providers, few studies have examined the effectiveness of these campaigns or the mechanisms by which they may achieve their intended effects. We surveyed community clinicians (N=39) about their screening behaviours, referral practices, and confidence in managing early psychosis just before and 3-6months after attending an educational event designed to promote recognition and quality treatment of early psychosis. Three to six months following attendance, providers reported screening a greater proportion of clients for early psychosis, referring a greater number of clients to specialty services, and feeling more confident in their ability to respond to clients with early psychosis. Increases in confidence following attendance were associated with corresponding increases in screening behaviour. The results suggest that outreach campaigns designed to enhance community providers' knowledge about early psychosis assessment and resources may be effective in promoting screening, referrals, and confidence in managing psychosis. Gains in provider confidence may contribute to increases in screening. Given the lack of control group and relatively short follow-up period, more research is needed to determine the effects of early psychosis educational events and the mechanisms by which they may promote successful treatment delivery for young people in need.

A Location-Based Factorization Machine Model for Web Service QoS Prediction

With the prevalence of web services, a large number of similar web services are provided by different providers. To select the optimal service among these service candidates, Quality of Service (QoS), representing the non-functional characteristics, plays an important role. To obtain the QoS values of web services, a number of web service QoS prediction methods have been proposed. Collaborative web service QoS prediction is one of the most popular approaches. Based on the historical QoS data, collaborative QoS prediction methods employ memory-based collaborative filtering (CF), model-based CF, or their hybrids to predict QoS values. However, these methods usually only consider the QoS information of similar users and services, neglecting the correlation between them. To enhance the prediction accuracy, we propose a novel method to predict QoS values based on factorization machine, which leverages not only QoS information of users and services but also the user and service neighbor’s information. To evaluate our approach, we conduct experiments on a large-scale real-world dataset with 1,974,675 web service invocations. The experiment results show that our approach achieves higher prediction accuracy than other QoS prediction methods.

Test-Oriented RESTful Service Discovery with Semantic Interface Compatibility

Web API/service technology has been attracting considerable attention and the REST (REpresentational State Transfer) architecture is now widely accepted as mainstream technology. Nonetheless, developing the means by which to discover RESTful Web APIs/services is crucial to the further development of this technology. Unfortunately, existing search engines for RESTful Web APIs/services provide only keyword-based or tag-based search functions. A failure to take into account the semantics and/or characteristics (e.g., their interface compatibility) greatly hampers the ability to find suitable APIs/services. In this study, we propose a novel approach to the discovery of RESTful Web API/services, referred to as Test-Oriented API Search with Semantic Interface Compatibility (TASSIC). This scheme involves expanding the terms of Web API/service documents based on DBpedia and WordNet. Unsuitable APIs/services are then filtered out using a systematic process, as follows: 1) calculation of semantic similarity between a set of candidate APIs/services and a user query, 2) analysis of interface compatibility between candidate APIs/services using the Hungarian Algorithm, 3) invocation of candidate APIs/services to verify functionality and availability, and 4) analysis of similarity between the actual response of the candidate services and the expected response specified in the user query. The proposed TASSIC increases the likelihood of matching APIs/services that are semantically equivalent or similar to user queries. Unit test and acceptance test are used to verify that a set of candidate APIs/services are actually available and that they actually meets user requirements. Experiment results demonstrate the efficacy of TASSIC, the accuracy of which is superior to that of existing methods.

Evaluation of Cloud 3D Printing Order Task Execution Based on the AHP-TOPSIS Optimal Set Algorithm and the Baldwin Effect.

Focusing on service control factors, rapid changes in manufacturing environments, the difficulty of resource allocation evaluation, resource optimization for 3D printing services (3DPSs) in cloud manufacturing environments, and so on, an indicator evaluation framework is proposed for the cloud 3D printing (C3DP) order task execution process based on a Pareto optimal set algorithm that is optimized and evaluated for remotely distributed 3D printing equipment resources. Combined with the multi-objective method of data normalization, an optimization model for C3DP order execution based on the Pareto optimal set algorithm is constructed with these agents’ dynamic autonomy and distributed processing. This model can perform functions such as automatic matching and optimization of candidate services, and it is dynamic and reliable in the C3DP order task execution process based on the Pareto optimal set algorithm. Finally, a case study is designed to test the applicability and effectiveness of the C3DP order task execution process based on the analytic hierarchy process and technique for order of preference by similarity to ideal solution (AHP-TOPSIS) optimal set algorithm and the Baldwin effect.

Research on Optimization Method of Computer Network Service Quality Based on Feature Matching Algorithm

On the whole, the main basis for strengthening the quality of network service is the construction of network system, reasonable arrangement of network and adjustment of information resources. In order to enhance the quality of network services, we should minimize the problems. In order to improve the quality of network, we should study more new network technologies and make up for network loopholes in time. In this study, in order to solve the efficiency problem brought by mass candidate services to quality-aware service selection, a service selection strategy based on feature matching algorithm is proposed. Based on statistical method, a probability matrix describing the mapping relationship between quality demand pattern and quality-oriented service pattern is established, and the service selection algorithm is improved by using the probability matrix. A series of experiments on artificial simulated data sets generated from real service data sets prove the feasibility and effectiveness of the proposed method.

Parallel optimization of QoS-aware big service processes with discovery of skyline services

With the explosive increase of services in cloud, an important and challenging issue is how to find the best execution plans of big service processes. Although some parallel approaches have been proposed recently, none of them comprehensively considers multiple service processes with various structures, QoS constraints and inter-service correlations, thus cannot precisely evaluate the performance of an execution plan and achieve its satisfaction. In this paper, we present a novel approach for parallel optimization of QoS-aware big service processes with discovery of skyline services. First, a Parallel Discovery Algorithm of Revised Skyline services (PDARS) is proposed, so as to precisely filter out the candidate services for big service processes. Then, a Parallel Meta-heuristic Algorithm considering QoS constraints and Inter-service correlations (PMAQI) is proposed, so as to find the best execution plan of big service processes effectively and efficiently. Finally, experimental results demonstrate that our approach outperforms other methods with higher utility and lower computation time.

Time-aware cloud manufacturing service selection using unknown QoS prediction and uncertain user preferences

Selecting the most efficient from several functionally equivalent services remains an ongoing challenge. Most manufacturing service selection methods regard static quality of service (QoS) as a major competitiveness factor. However, adaptations are difficult to achieve when variable network environment has significant impact on QoS performance stabilization in complex task processes. Therefore, dynamic temporal QoS values rather than fixed values are gaining ground for service evaluation. User preferences play an important role when service demanders select personalized services, and this aspect has been poorly investigated for temporal QoS-aware cloud manufacturing (CMfg) service selection methods. Furthermore, it is impractical to acquire all temporal QoS values, which affects evaluation validity. Therefore, this paper proposes a time-aware CMfg service selection approach to address these issues. The proposed approach first develops an unknown-QoS prediction model by utilizing similarity features from temporal QoS values. The model considers QoS attributes and service candidates integrally, helping to predict multidimensional QoS values accurately and easily. Overall QoS is then evaluated using a proposed temporal QoS measuring algorithm which can self-adapt to user preferences. Specifically, we employ the temporal QoS conflict feature to overcome one-sided user preferences, which has been largely overlooked previously. Experimental results confirmed that the proposed approach outperformed classical time series prediction methods, and can also find better service by reducing user preference misjudgments.

Image and Attributes of the Police as an Employer in Poland – Perspective of the Z-Generation

Abstract Recruitment to the Police is a continuous process aimed at supplementing the shortage of human resources, whose number for many years has oscillated around 4 thousand. Taking into account the difficulty of obtaining candidates for service, as well as high competitiveness on the labour market among employers, the aim of the conducted research was to identify the quality of the image of the Police as an employer in Poland from the perspective of generation Z, i.e. the group of potential candidates for service. The analysis also focused on the attributes of Police attractiveness, paying particular attention to attractiveness in the economic, developmental and psychological dimensions. An attempt was also made to indicate a typical image of the Police as an employer by means of subjective associations with the brand. For this purpose, potential associations associated with different types of organizational culture were distinguished, and then subjected to the assessment of respondents. The research using a diagnostic survey was conducted on a sample of 100 people in 2019.

Service Candidate Identification from Monolithic Systems Based on Execution Traces

Monolithic systems increasingly suffer from maintainability and scalability issues as they grow in functionality, size, and complexity. It is widely believed that (micro)service-based architectures can alleviate these problems as each service is supposed to have the following characteristics: clearly defined functionality, sufficient modularity, and the ability to evolve independently. Industrial practices show that service extraction from a legacy monolithic system is labor-intensive and complex. Existing work on service candidate identification aims to group entities of a monolithic system into potential service candidates, but this process has two major challenges: first, it is difficult to extract service candidates with consistent quality; second, it is hard to evaluate the identified service candidates regarding the above three characteristics. To address these challenges, this paper proposes the Functionality-oriented Service Candidate Identification (FoSCI) framework to identify service candidates from a monolithic system. Our approach is to record the monolith's execution traces, and extract services candidates using a search-based functional atom grouping algorithm. We also contribute a comprehensive service candidate evaluation suite that uses interface information, structural/conceptual dependency, and commit history. This evaluation system consists of 8 metrics, measuring functionality, modularity, and evolvability respectively of identified service candidates. We compare FoSCI with three existing methods, using 6 widely-used open-source projects as our evaluation subjects. Our results show that FoSCI outperforms existing methods in most measures.

Service Selection With Package Bundles and Compatibility Constraints

With the rapid proliferation of strategic alliances between service providers, enterprises cooperate towards service quality improvement and provide lower cost service bundles. This article presents a novel solution to the minimum cost service bundle selection problem for workflows in the presence of singleton subscription costs and service bundle offerings and compatibility requirements. Given a workflow specifying a set of tasks and a set of candidate services for each task, with a set of compatibility constraints between services, the selection problem has the objective of selecting the most suitable service offering(s) for each task. In this article, we analyze the selection problem in the presence of service bundle offerings. We present a novel multi-partite hyper-graph visualization of the selection problem and analyze its hardness. Additionally we present a novel combination of ILP and abstraction refinement as a potential solution, that is shown to expedite a naïve ILP based solution. We present experiments to substantiate this claim.