Miracle-dz/UniFAR-FTUs huggingface dataset:
Design and Analysis of the Data Distribution Service System

the data-centric publish/subscribe middle-ware is suitable for a communication environment in which various devices dynamically forms a network domain and same type of data are frequently exchanged. For this purpose, OMG has standardized DDS (Data Distribution Service) specification. In this study, we designed the RiTiCoM, data distribution service system that observes the OMG DDS (Data Distribution Service) standard specification and supports the automation of system management, and analyzed the performance and compared with the JMS.
Islamic and cultural practices in breastfeeding

Breastfeeding is important to me for several reasons. One reason is my religion. As a Muslim parent, I always try to follow Islamic guidelines and I was fascinated to discover breastfeeding is mentioned in the Quran1 (Islam's holy book). As I read more about Islam and breastfeeding, I came across some controversial issues and realised that many cultural practices get mixed and confused with religious practices. As with any religion, some Muslims will adhere strictly to the religious teachings as defined by the Quran and Sunnah [sayings, practices and teachings of the Prophet Muhammad]. Other Muslims will take a more relaxed approach to the religion but may have heavy cultural influences. Helping Muslim mothers adopt good breastfeeding practices requires an understanding of the differences between the religious basis of breastfeeding and the cultural practices followed by some Muslims.
Distributional Concept Analysis

This article proposes a novel computational method for discerning the structure and history of concepts. Based on the analysis of co-occurrence data in large data sets, the method creates a measure of “binding” that enables the construction of verbal constellations that comprise the larger units, “concepts,” that change over time. In contrast to investigation into semantic networks, our method seeks to uncover structures of conceptual operation that are not simply semantic. These larger units of lexical operation that are visualized as interconnected networks may have underlying rules of formation and operation that have as yet unexamined—perhaps tangential—connection to meaning as such. The article is thus exploratory and intended to open the history of concepts to some new avenues of investigation.
Generative models for pedestrian track analysis

Various problems in tracking and track analysis are addressed, with a focus on applications in the surveillance and intelligent vehicle domains, such as pedestrian path prediction, learning spatial and temporal structure of behavior patterns in data, anomalous track detection, and data association with inaccurate detections. It is shown that these low-level (that directly deal with the data) and high-level tasks (that deal with more abstract concepts) can be described by generative models which associate observations to one of several object labels (e.g. to construct tracks of objects in videos), or to one of several dynamics (e.g. to categorize dynamics within the tracks). These generative models are modular and adaptable to various problem settings, and provide a strong and unified theoretic foundation. The Switching Linear Dynamical System (SLDS) can represent alternating pedestrian dynamics which transitions between walking and standing states. For online pedestrian path prediction from a moving vehicle, the SLDS is first extended with latent variables to exploit contextual information on where and when motion state transitions occur. Then, unsupervised learning of dynamics together with spatial context from unlabeled track data is considered. A spatial likelihood term is directly added to the SLDS states, such that these now capture dynamics for a specific spatial regions. This unsupervised approach is further extended into a hierarchical model to additionally cluster tracks into behavior classes. Finally, these unsupervised techniques are applied to the data association problem in tracking itself, focusing on anomalous surveillance situations where object detections are inaccurate and motion models unreliable.
Model fusion approach for monthly reservoir inflow forecasting

Considering the complexity of reservoir systems, a model fusion approach is proposed in this paper. According to different inflow information represented, the historical monthly data can be constructed as two time series, namely, yearly-scale series and monthly-scale series. Even grey model (EGM) and adaptive neuro-fuzzy inference system (ANFIS) are adopted for the forecasts at the two scales, respectively. Grey relational analysis (GRA) is subsequently used as a scale-normalized model fusion tool to integrate the two scales' results. The proposed method is evaluated using the data of the Three Gorges reservoir ranging from January 2000 to December 2012. The forecast performances of the individual-scale models are improved substantially by the suggested method. For comparison, two peer models, back-propagation neural network and autoregressive integrated moving average model, are also involved. The results show that, having combined together the small-sample forecast ability of the EGM in the yearly-scale, the nonlinearity of the ANFIS in the monthly-scale, and the grey fusion capability of the GRA, the present approach is more accurate for holistic evaluation than those models in terms of mean absolute percentage error, normalized root-mean-square error, and correlation coefficient criteria, and also for peak inflow forecasting in accordance with peak percent threshold statistics.
The Effects of Parenting Attitude on Adolescents' Offenses : The Mediating Effects of Mobile phone Dependency

The purpose of this study was to examine the mediating effects of mobile phone dependency in the relationship between parenting attitude and juvenile delinquency. This study used the secondary data from the 1, 2 and 3 waves of the Korean Children and Youth Panel Survey(2010, KCYPS). The data of 2,086 middle school students were analyzed by utilizing Structural Equation Model(SEM). The results are as follows. First, positive and negative parenting attitudes had no direct effects on juvenile delinquency, while positive parenting attitudes had significantly decreased adolescents’ mobile phone dependency. In addition, negative parenting attitudes had positive effects on adolescents’ mobile phone delinquency. Second, mobile phone dependency was fully mediated by parenting attitudes and juvenile delinquency. On the basis of these results of study, policy and practice implications were discussed to reduce juvenile delinquency by improving parenting attitudes. ■ keyword :∣Positive Parenting Attitude∣Negative Parenting Attitude∣Mobile Phone Dependency∣Juvenile Delinquency∣Mediating Effects∣ 한국콘텐츠학회논문지 '17 Vol. 17 No. 8 40
Patient Information System and Doctor Competence in Increasing Satisfaction and Loyalty to Primary Level Health Service

The establishment of Puskesmas (Community Health Centers) aims to make it possible for communities to get quality services that are affordable for all levels of society. The things that are necessary to be improved in the services of Puskesmas are the quality and access. This study aimed at predicting the factors influencing satisfaction and loyalty of BPJS patients of the primary level health facility. This research was an explanatory study aiming at determining whether there is an influence of management information system and doctor competence on patient satisfaction and patient loyalty. The results showed that the management information system (SIM) of the patients had a positive and significant influence on the BPJS patients’ satisfaction; doctor competence had a positive and significant influence on BPJS patients’ satisfaction; the management information system (SIM) of the patients had a positive and significant influence on the BPJS patients’ loyalty to the primary level health facility in Banjarnegara; doctor competence had a positive and significant influence on the BPJS patients’ loyalty, and patient satisfaction had a positive and significant effect on the BPJS patients’ loyalty to the primary level health facility in Banjarnegara.
The Prediction of Body Image Based on Mindfulness and Cognitive Emotion Regulation Strategies in Infertile Couples

Introduction: Infertility and its treatment bring about such consequences as disturbance, frustration, depression, anxiety, hopelessness, feeling of guilt, and feeling of worthlessness in life. Objective: Determine the components of mindfulness and cognitive emotion regulation strategies on body image infertile couples Shiraz. Materials and Methods: The present research was a descriptive correlational study. All infertile couples presenting to the Mother and Child Hospital of Shiraz in the summer of 2013, constituted the statistical population of this study. The research sample consisted of 120 infertile couples who were selected via convenience sampling method. Body Image, Five Facet Mindfulness and Cognitive Emotion Regulation Questionnaires were employed to collect data. Data analysis was performed through Pearson correlation and Stepwise regression analysis. Results: The results showed a positive correlation between body image and all components of mindfulness consisting of observation (r = 0.19, P = 0.003), description (r = 0.36, P= 0.000), act with awareness (r = 0.33, P = 0.000), accept without judgment (r = 0.27, P= 0.000) and lack of response to internal experience (r = 0.26, p = 0.000). Also, there was a negative correlation between the mean of body image and negative emotional regulation strategies including selfblame (r = -0.26, P = 0.000), rumination (r = -0.16, P = 0.004), and catastrophe (r =-0.27, P = 0.000). Also, the results revealedapositive correlation between body image and positive cognitive strategies of emotion regulation including positive refocus (r = 0.35, P = 0.000), refocus on planning (r = 0.38, P = 0.000), positive reappraisal (r = 0.50, P = 0.000) and putting into perspective (r = 0.23, p = 0.000). Stepwise regression results showed that positive refocus (β=0.51), rumination (β=-0.16), observation observation (β=0.22) and self-blame (β=-0.16) are predictive power of body image in infertile couples and explain for 41.9% of the variance of infertile couples' body image. Conclusion: The findings of this study confirmed the relationship between mindfulness and cognitive emotion regulation strategies with body image of infertile couples. Therefore, it is suggested that the necessary conditions be provided for the collaboration of infertility specialists with psychologists in infertility treatment centers and it is also recommended that psychological counseling centers be established in these centers in order to improve the psychological problems of these patients. Conflict of interest: non declared
Including children with chronic health conditions in early childhood education and care settings

This article sheds light on how chronic health conditions impact upon concepts of inclusion in children’s early childhood education and care in England; it draws upon findings from a small-scale research project which highlights the need to consider health, in particular, the impact of chronic health conditions on early childhood education and care. The study was conducted in two stages: Stage 1 involved a postal questionnaire to 60 early childhood settings and Stage 2 included interviews with 6 practitioners in 4 settings, interviews with parents and observations of a child (called DJ) in his setting over the course of a year. The findings from this study indicate that in an attempt to be inclusive, practitioners may be unintentionally exclusive in their practice. The data suggest that this may be as a consequence of practitioners having different understandings and definitions of what is meant by the term inclusion, leading to confusion about the aims of inclusion. The findings indicate that there is a need to identify what effective pedagogy is for children with chronic health conditions, as well as a need to redefine inclusion in relation to their needs.
Trinity of change agency, regional development paths and opportunity spaces

The study of regional growth paths is a key theme in economic geography and of elemental interest for regional development. This paper addresses the interplay between path-dependent, structural forces and the construction and utilization of opportunities through agentic processes. Extending the evolutionary framework, it is argued that not only history but also perceived futures influence agentic processes in the present and thus shape regional development paths. The paper discusses the relevance and interdependencies of three types of agency with distinct theoretical roots, namely Schumpeterian innovative entrepreneurship, institutional entrepreneurship and place-based leadership, as main drivers of regional structural change.
Security Enhancements in MANETs Using Game Theory

Game theory finds its applications in various fields mainly for providing security. In the existing systems, game theory has been used in providing security where only two players are involved. This holds good in case of centralized network, whereas in MANETS where there is no centralized coordination, it is difficult to obtain better performance with only a two player game theory. Hence a novel method is implemented here, which is the mean field game theory involving multiple players to tackle the security problems in MANETs. This game theoretic approach makes it possible for each node in the network to make strategic control decisions. For this purpose the individual nodes must be aware of the state information of itself and the neighboring nodes in the network. As the security, defense methods also require additional resources (eg. Power, energy, etc.) the proposed scheme not only aims at providing the required security, but also to balance the system sources. Simulations have been done using ns2 to provide better results.
Machine Learning and the Police: Asking the Right Questions

How can we secure an accessible and open democratic debate about police use of predictive analytics when the technology itself is a specialized area of expertise? Police utilize technologies of prediction and automation where the underlying technology is often a machine learning (ML) model. The article argues that important issues concerning ML decision models can be unveiled without detailed knowledge about the learning algorithm, empowering non-ML experts and stakeholders in debates over if, and how to, include them, for example, in the form of predictive policing. Non-ML experts can, and should, review ML models. We provide a ‘toolbox’ of questions about three elements of a decision model that can be fruitfully scrutinized by non-ML experts: the learning data, the learning goal, and constructivism. Showing this room for fruitful criticism can empower non-ML experts and improve democratic accountability when using ML models in policing.
Pelaksanaan Keterampilan Mengajar Guru di Gugus Mangga Kecamatan Jaya Baru Kota Banda Aceh

Salah satu faktor tercapainya tujuan pembelajaran adalah pelaksanaan keterampilan mengajar guru. Penelitian ini akan mengangkat masalah bagaimana pelaksanaan keterampilan mengajar guru di Gugus Mangga Kecamatan Jaya Baru Kota Banda Aceh. Penelitian ini bertujuan untuk mendeskripsikan pelaksanaan keterampilan mengajar guru di Gugus Mangga Kecamatan Jaya Baru Kota Banda Aceh. Pendekatan yang digunakan dalam penelitian ini adalah kualitatif dengan jenis penelitian deskriptif. Data penelitian ini bersumber dari guru-guru yang sedang mengajar. Subjek penelitian ini adalah seluruh guru kelas I dan kelas IV di Gugus Mangga Kecamatan Jaya Baru Kota Banda Aceh yang berjumlah sepuluh orang. Alasan peneliti mengambil subjek tersebut atas pertimbangan dari kepala sekolah bahwa karena keterbatasan waktu dan tenaga sebaiknya cukup mengambil dua orang guru saja setiap sekolah yaitu guru kelas tinggi dan guru kelas rendah masing-masing satu orang agar bisa mewakili seluruh kelas. Pengumpulan data dilakukan dengan teknik wawancara dan observasi. Untuk mengolah data menggunakan rumus deskriptif persentase dan reduksi data, display data dan penarikan/verifikasi kesimpulan. Hasil menunjukkan berdasarkan hasil penelitian yang dilaksanakan, maka dapat disimpulkan bahwa guru kelas I dan IV di Gugus Mangga Kecamatan Jaya Baru Kota Banda Aceh dalam melaksanakan keterampilan mengajar berada pada kategori cukup dan disarankan untuk para guru agar dapat menjalankan pelaksanaan keterampilan mengajar lebih maksimal. Kata Kunci : Keterampilan Mengajar, Guru
Atomic Broadcast in Heterogeneous Distributed Systems

Communication services have long been recognized as possessing a dominant effect on both performance and robustness of distributed systems. Distributed applications rely on a multitude of protocols for the support of these services. Of crucial importance are multicast protocols. Reliable multicast protocols enhance the efficiency and robustness of distributed systems. Numerous reliable multicast protocols have been proposed, each differing in the set of assumptions adopted, especially for the communication network. These assumptions make each protocol suitable for a specific environment. The presence of different distributed applications that run on different LANs and single distributed applications that span different LANs mandate interaction between protocols on these LANs. This interaction is driven by the necessity of cooperation between individual applications. The state of the art in reliable multicast protocols renders itself inadequate for multicasting in interconnected LANs. The progress in development methodology for efficient and robust LAN software has not been matched by similar advances for WANs. A high-latency, a lower bandwidth, a higher probability of partitions, and a frequent loss of messages are the main restrictive barriers. In our work, we propose a global standard protocol that orchestrates cooperation between the different reliable broadcast protocols that run on different LANs. Our objective is to support a reliable ordered delivery service for inter-LAN messages and achieve the utmost utilization of the underlying local communication services. Our protocol suite accommodates the existence of LANs managed by autonomous authorities. To uphold this autonomy (as a defacto condition), LANs under different authorities must be able to adopt different ordering criteria for group multicasting. The developed suite assumes an environment in which multicasting groups can have members that belong to different LANs; each group can adopt either total or causal order for message delivery to its members. We also recognize the need for interaction between different reliable multicasting protocols. This interaction is a necessity in an autonomous environment in which each local authority selects a protocol that is suitable to its individual needs. Our protocols are capable of interacting with any reliable protocol that achieves a causal order as well as with all timestamp-based total-order protocols. Our protocols can also be used as a medium for interaction between existing reliable multicasting protocols. This feature opens new avenues in interactability between reliable multicasting protocols. Finally, our protocol suite enjoys a communication structure that can be aligned with the actual routing topology, which largely minimizes the necessary protocol messages.
A Comparative Survey on Vehicular Ad-hoc Network (VANET) Routing Protocol using Heuristic and Optimistic Techniques

The aim for conducting this study is to bring optimistic and heuristic techniques of routing protocol at one place as a survey. In vehicular ad-hoc network (VANET), a routing protocol has some significant challenges. In literature a variety of techniques have been used to tackle these issues. This study provides the comparative analysis of the more optimistic and heuristic techniques: Ant colony optimization, greedy forwarding, fuzzy logic, delay tolerance and clustering techniques. These are compared to find which technique is better, discusses advantages and disadvantages of routing protocols. Finally, we concludes the paper by pointing out some open issues and possible directions of future research related to VANET routing.
Mechanical Turk and the gig economy: exploring differences between gig workers

Purpose The purpose of this paper is to provide an investigation of how different types of gig workers engage in the gig economy. Specifically, the authors distinguish between workers who view gig work as primary income (or not) and those workers who view it as a job (or not). Design/methodology/approach In total, 1,190 Mechanical Turk (MTurk) workers completed surveys across two studies examining whether types of workers differ based on demographic characteristics, utilization of MTurk, why they participate in the gig economy on MTurk (i.e. push and pull factors) and how this impacts life satisfaction. Findings Workers relying on MTurk as a primary income had lower incomes and spent more time completing large numbers of work units. This group of workers also reported fewer pull factors (e.g. enjoyment) as a reason for working in the gig economy and had lower levels of self-reported current and predicted future life satisfaction. Individuals who view MTurk as a job were more likely to treat MTurk like a job – engaging in online communities and having a regular work schedule. These workers were more likely to report pull factors (e.g. enjoyment and challenge) and did not differ on life satisfaction. Originality/value The current research contributes to our understanding of MTurk, one of the largest online platforms for gig work, as part of the diverse gig economy and highlights potential areas for future research.