Miracle-dz/UniFAR-FTUs huggingface dataset:
The contribution of ehealth and mhealth to improving the performance of the health workforce: a review

Introduction: eHealth and mHealth are technologies that allow services to be extended closer to patients, in pursuit of the objectives of Health 2020: a European policy framework and strategy for the 21st century and of the Global Strategy on Human Resources for Health: workforce 2030. As Europe faces increased demand for health services due to ageing populations, rising patient mobility, and a diminishing supply of health workers caused by retirement rates that surpass recruitment rates, this paper illustrates how eHealth and mHealth can improve the delivery of services by the health workforce in response to increasing demands. Methods: Through a scoping literature review, the impact of eHealth/mHealth on the health workforce was assessed by examining how these technologies affect four dimensions of the performance of health professionals, according to the so-called AAAQ: availability, accessibility, acceptability, and quality. Results: Few high-quality studies were found. Most studies focused on the utilization of text messaging (SMS) for patient behavior change, and some examined the potential of mhealth to strengthen health systems. We also found some limited literature reporting effects on clinical effectiveness, costs, and patient acceptability; we found none reporting on equity and safety issues. Facilitators and barriers to the optimal utilization of eHealth and mHealth were identified and categorized as they relate to individuals, professional groups, provider organizations, and the institutional environment. Discussion: There are ongoing clinical trial protocols of largescale, multidimensional mHealth interventions, suggesting that the current limited evidence base will expand in coming years. The requirement for new digital skills for human resources for health (HRH) was observed as significant. This has implications for the education of health workers, the management of health services, policy-making, and research.
How Online Tutorial can Help Distance Education Students to be more Active in Their Learning

There are massive changes in many aspects of our life that affect our life such as in the way we learn. Universitas Terbuka (UT) is a distance education university that often uses technology for its teaching and learning activities such as online tutorial. Basically, UT students‟ do not meet their lecturers face to face every day. Being UT students require UT students to learn independently by reading UT learning printed materials by themselves. Moreover, UT‟s online tutorials are provided to help UT students in understanding their course materials. In order to investigate why and how online tutorials can help UT students while learning at a distance, so the researcher conducted this study. In addition, in this study, the researcher tried to explore how participating in online tutorial can help UT students to become more active in their learning. This study was used in the Professionalism of early childhood teachers online tutorial course. The research method for thus study was using descriptive qualitative method using online open questions which were sent to 286 participants. The data were analyzed using descriptive qualitative data analysis. Only 55 students from 286 online tutorial participants who answered the questions. The results of this study were 1. participating in online tutorial apparently can be a way to help the students understanding the course material, 2. Participating in online tutorial can motivate and help UT students to be more active in their learning and 3. By learning online, students learn to get used with computers and internet.
KONSEP PENDIDIKAN ANAK MENURUT AL-GHAZALI DAN RELEVANSINYA DENGAN ARAH DAN TUJUAN PENDIKAN NASIONAL DI INDONESIA

Pendidikan anak merupakan hal penting yang tidak boleh hilang dari kita perhatian terhadapnya. Kegiatan ini merupakan upaya mencetak generasi-generasi penerus umat yang kokoh pada upaya memegang loyalitasnya sebagai makhluk hidup kepada Rabb-nya. Untuk mencapai tujuan tersebut dibutuhkan suatu bentuk metodologi pembelajaran yang mengarah secara langsung pada pembentukan pribadi yang loyal pada agama dan umat secara teologis dan humanis. Tulisan ini mencoba membuka khazanah baru dalam kaitannya dengan konsep pendidikan dan pembelajaran anak. Sebuah konsep yang ditawarkan oleh Al- Ghazali yang dimulai dari pembentukan akhlak al-kariimah dalam sistem pembelajaran anak sebagai dasar pembentukan umat yang kuat ’ilman, jisman dan ruuhan. Disamping itu penulis berupaya menyingkap relevansi antara konsep pendidikan akhlak menurut Al-Ghazali dan dengan arah dan tujuan pendidikan Nasional Indonesia.
Developing Community and Building Knowledge Online Using a Virtual Reality Environment and Student-Created Videos

Within an online science teacher education course, an important although secondary goal was to prepare students for a high-stakes licensure portfolio at some time after course completion. Thus, various communication technologies including synchronous virtual reality meetings and asynchronous student self-created video commentaries were interwoven to foster a community of problem solvers. This study examines the several technology-communication venues for evidence of student interpersonal communications and emerging content knowledge concluding with ways these communication tools might effectively support productive learning communities and engender professional yet “safe” and trusting environments in online and blended course environments.
P71: The Effect of Pretreatment with Ibuprofen and Dexamethasone on the Effect of Nerve Block Lower Alveolar Marked in Irreversible Pulpitis Teeth

Successful local anes thesia is the bedrock of pain control in endodontics. Pain control is essential to reduce fear and anxiety associated with endodontic procedure. It is belivied that premedication with non-s treroidal anti–inflammatory (NSAID) drugs before adminis trating inferior alveolar nerve block (IANB) increases the success of anes thesia. The purpose of this s tudy was to evaluate the effect of premedication with dexamethasone (SAID) and ibuprofen (NSID) on frequency of success of IANB in patients with symptomatic irreversible pulpitis. 75 emergency patients in severe pain diagnosed with symptomatic irreversible pulpitis of a mandibular pos terior tooth randomly divided in 3 groups. Patients received, in a double-blined manner, identical capsules of either 4mg dexamethasone or 400mg ibuprofen or s tarch powder 1 hour before the adminis tration of the IANB. Access was begun 15 minutes after the completion of IANB. Success was defined as no or mild pain (Visual analogue scale recording) on access. The success rate for the IAN block was 80.8 % for the dexamethasone group and 73 % for the ibuprofen group, with no significant difference (P=0.337) between the 2 groups. The success rate was 38.5 % for placebo group that significantly lower than dexamethasone and ibuprofen groups (P=0.008). Preoperative adminis tration of 4mg dexamethasone or 400mg ibuprofen 1 hour of the IAN block result in a significant increase in anes thetic success in mandibular molars with sympthomatic irreversible pulpitis.
Robust Mobile Visual Recognition System: From Bag of Visual Words to Deep Learning

With billions of images captured by mobile users everyday, automatically recognizing contents in such images has become a particularly important feature for various mobile apps, including augmented reality, product search, visual-based authentication etc. Traditionally, a client-server architecture is adopted such that the mobile client sends captured images/video frames to a cloud server, which runs a set of task-specific computer vision algorithms and sends back the recognition results. However, such scheme may cause problems related to user privacy, network stability/availability and device energy. In this dissertation, we investigate the problem of building a robust mobile visual recognition system that achieves high accuracy, low latency, low energy cost and privacy protection. Generally, we study two broad types of recognition methods: the bag of visual words (BOVW) based retrieval methods, which search the nearest neighbor image to a query image, and the state-of-the-art deep learning based methods, which recognize a given image using a trained deep neural network. The challenges of deploying BOVW based retrieval methods include: size of indexed image database, query latency, feature extraction efficiency and re-ranking performance. To address such challenges, we first proposed EMOD which enables efficient on-device image retrieval on a downloaded context-dependent partial image database. The efficiency is achieved by analyzing the BOVW processing pipeline and optimizing each module with algorithmic improvement. Recent deep learning based recognition approaches have been shown to greatly exceed the performance of traditional approaches. We identify several challenges of applying deep learning based recognition methods on mobile scenarios, namely
Sensual Semantic Analysis for Effective Query Expansion

The information has evolved rapidly over the World Wide Web in the past few years. To satisfy information needs, users mostly submit a query via traditional search engines, which retrieve results on the basis of keyword matching principle. However, a keyword-based search cannot recognize the meanings of keywords and the semantic relationship among the terms in the user’s query; thus, this technique cannot retrieve satisfactory results. The expansion of an initial query with relevant meaningful terms can solve this issue and enhance information retrieval. Generally, query expansion methods consider concepts that are semantically related to query terms within the ontology as candidates in expanding the initial query. An analysis of the correct sense of query terms, rather than only considering semantic relations, is necessary to overcome language ambiguity problems. In this work, we proposed a query expansion framework on the basis of query sense analysis and semantics mining using computer science domain ontology, followed by working prototype of the system. The experts analyzed the results of system prototype over test dataset and Web data, and found a remarkable improvement in the overall search performance. Furthermore, the proposed framework demonstrated better mean average precision and recall values than the baseline method.
Text Analysis with JSTOR Archives

I provide a visual representation of keyword trends and authorship for two flagship sociology journals using data from JSTOR’s Data for Research repository. While text data have accompanied the digital spread of information, it remains inaccessible to researchers unfamiliar with the required preprocessing. The visualization and accompanying code encourage widespread use of this source of data in the social sciences.
Skills for life: First aid and cardiopulmonary resuscitation in schools

Objective: This review considers initiatives in various countries to include mandatory first aid and cardiopulmonary resuscitation (CPR) training in schools, key educational considerations and the supporting empirical evidence, in particular the relevance of first aid and CPR training to broader educational goals of student capability, resilience and self-efficacy. Method: Policy documents and reports from international first aid service providers (e.g. British Red Cross) were identified from websites while a parallel search of key bibliographical databases provided relevant papers on teaching first aid and CPR to school children in a range of countries. Results: Systematic reviews all show evidence to support the provision of first aid and CPR training courses and programmes in schools, with interventions effective in improving first aid knowledge and skills both post-training and in some studies up to 12 months afterwards. Important factors include ensuring the content is relevant and practical for the target group and offering an opportunity for young people to explore and discuss helping behaviour in emergency situations. Conclusion: Age-appropriate first aid and CPR instruction should be integrated into the school curriculum beginning in the primary years and developed/refreshed annually. Topics covered should include calling for help, bleeding, choking, burns, unconsciousness and resuscitation – all within the broader context of being confident and willing to help others. With the right training and support, schoolteachers can effectively deliver first aid instruction to their students. Future research should concentrate on gaps in evidence-based practice, especially measurements to demonstrate the effectiveness of first aid training, in order to advance the case for mandatory first aid education in schools.
Scientific Paper Recommendation: A Survey

Globally, the recommendation services have become important due to the fact that they support e-commerce applications and different research communities. Recommender systems have a large number of applications in many fields, including economic, education, and scientific research. Different empirical studies have shown that the recommender systems are more effective and reliable than the keyword-based search engines for extracting useful knowledge from massive amounts of data. The problem of recommending similar scientific articles in scientific community is called scientific paper recommendation. Scientific paper recommendation aims to recommend new articles or classical articles that match researchers’ interests. It has become an attractive area of study since the number of scholarly papers increases exponentially. In this paper, we first introduce the importance and advantages of the paper recommender systems. Second, we review the recommendation algorithms and methods, such as Content-based, collaborative filtering, graph-based, and hybrid methods. Then, we introduce the evaluation methods of different recommender systems. Finally, we summarize the open issues in the paper recommender systems, including cold start, sparsity, scalability, privacy, serendipity, and unified scholarly data standards. The purpose of this survey is to provide comprehensive reviews on the scholarly paper recommendation.
A blurred paradise : insider and outsider perspectives on Paternoster

Paternoster is perpetually represented as being a tourist destination primarily through the use of imagery; yet this is often without interrogation of the primary narrative which when examined cracks in the visual façade surface. The overall objective of this research was to review the community conflicts through the use of an insider and outsider approach. This was achieved through using an insider qualitative, consensual, documentary style approach. Fieldwork, participant observation and interviews were used as inroads to the community and to enable the use of photography to explore existing narratives, why they exist and the possibility for alternative narratives. As an owner of property within this community (an insider), one is still categorised as an outsider, as someone not born in the community. This dual role allowed a different interrogation while providing its own challenges of not influencing the research. Further, this contested community with emotional undercurrents embedded in its complex matrix of relationships is further explored through research and interrogation of the perfect picture postcard view. This interrogation uncovers missed opportunities, mistrust, impacts of capitalism, categorisation of people along preconceived lines and a community in strife as it attempts to shift itself from its 19th century comfort zone to the 21st century filled with new economic and social realities. Simultaneously, the research explores the role that insider research presents, as well as the role of the potential biases of the photographer in her ability to create an objective view as possible. This is balanced with being on the outside, on the peripheries of this community and being part of a group that are seen as intruders. This provided a unique opportunity to research the community from a number of angles.
Development of a hybrid alginate-ECM hydrogel as a potential bioink for 3D bioprinting

Background: Lung transplantation is the only curative approach for end stage lung disease, but tissue shortage remains a problem. Generating lung tissue ex vivo could overcome tissue shortages. Both synthetic and biologic scaffolds have been explored, yet both have limitations. Biologic scaffolds have low reproducibility while synthetic scaffolds lack biologically inductive properties. Hybrid materials, comprised of both, have been used for tissue engineering, but have been limited to simple shapes. Recent advances in 3D printing may permit for complex shapes, but potential bioinks are unknown. We hypothesized that a hybrid hydrogel generated by combining a synthetic polymer with lung derived extracellular matrix (ECM) could be a suitable bioink for 3D bioprinting lung tissue. Methods: We generated hybrid hydrogels from a synthetic polymer, alginate, and ECM derived from decellularised mouse lungs to make hybrid hydrogels. Viability and proliferation of distal lung epithelial cell lines (MLE12 and A549) encapsulated in the hydrogel were measured via immunofluorescence (Ki67+) and flow cytometry (EdU+) after 7 days. Results: Both MLE12 and A549 cells remained viable and were distributed homogenously within manufactured hydrogels of various shapes. MLE12s in ECM-alginate hybrid hydrogels were significantly more proliferative (30% increase) than MLE12 cells seeded in an alginate hydrogel as assessed by flow cytometry. Conclusions: A hybrid hydrogel generated from alginate and decellularised lung derived ECM supports proliferation of lung epithelial cell lines and can be manufactured in a variety of shapes. The hybrid alginate-ECM solution is thus a promising candidate as a bioink for 3D bioprinting.
Responding to Harm: The Challenge of Children’s Perspectives

This article draws upon research undertaken in South Wales to understand children’s views concerning what it means to be a ‘victim’ of crime and their experiences, in that context, of engaging with the criminal justice system. Significantly, and moving beyond traditional policy and service provision concerns, child participants argued passionately that not only did adults fail to provide them with appropriate advice and support, but that their understandings of victimhood were inaccurate. Rather, children articulated an almost zemiological understanding of ‘harm’ which was the basis for an alternative way of understanding what it was to be a ‘victim’. Furthermore, children suggested that they were not taken seriously by an adult-led criminal justice system and that the operation of that system did not address their needs. Reflections are offered in this article concerning children’s views, and the profound implications that their alternative discourse pose for criminal justice policymakers and practitioners.
Parallel ADR detection based on spark and BCPNN

: Adverse Drug Reaction (ADR) is one of the major challenges to the evaluation of drug safety in the medical ﬁeld. The Bayesian Conﬁdence Propagation Neural Network (BCPNN) algorithm is the main algorithm used by the World Health Organization to monitor ADRs. Currently, ADR reports are collected through the spontaneous reporting system. However, with the continuous increase in ADR reports and possible use scenarios, the efﬁciency of the stand-alone ADR detection algorithm will encounter considerable challenges. Meanwhile, the BCPNN algorithm requires a certain number of disk I/O, which leads to considerable time consumption. In this study, we propose a Spark-based parallel BCPNN algorithm, which speeds up data processing and reduces the number of disk I/O in BCPNN, and two optimization strategies. Then, the ADR data collected from the FDA Adverse Event Reporting System are used to verify the performance of the proposed algorithm and its optimization strategies. Experiments show that the parallel BCPNN can signiﬁcantly accelerate data processing and the optimized algorithm has a high acceleration rate and can effectively prevent memory overﬂow. Finally, we apply the proposed algorithm to a dataset provided by a real medical consortium. Experiments further prove the performance and practical value of the proposed algorithm.
PENGARUH MODEL PEMBELAJARAN KOOPERATIF TIPE TALKING STICK DENGAN STRATEGI JOYFUL LEARNING TERHADAP PRESTASI BELAJAR SISWA PADA MATA PELAJARAN IPS KELAS VII MTsN MEURAXA BANDA ACEH

Pendidikan merupakan suatu hal yang sangat penting bagi kehidupan kita. Beberapa model pembelajaran yang dapat diterapkan guru sesuai dengan tujuan pembelajaran yang ingin dicapai, tetapi beberapa sekolah tentu masih ada guru yang menerapkan model pembelajaran kurang tepat dan kurang menarik dalam proses pembelajaran. Hasil observasi di MTsN Meuraxa Banda Aceh, memperlihatkan proses pembelajaran IPS didalam kelas cendrung membosankan dan kurang menarik perhatian siswa. Model kooperatif tife talking stick dengan strategi joyful learning merupakan salah satu cara untuk meningkatkan prestasi siswa. Penelitian ini mengangkat masalah bagaimana pengaruh model pembelajaran kooperatif tipe talking stick dengan strategi joyful learning terhadap prestasi belajar siswa pada mata pelajaran IPS kelas VII MTsN Meuraxa Banda Aceh , penelitian ini bertujuan untuk menganalisis pengaruh penerapan model pembelajaran kooperatif tipe talking stick dengan strategi joyful learning dan untuk mengetahui seberapa besar pengaruhnya terhadap prestasi belajar siswa pada mata pelajaran IPS kelas VII MTsN Meuraxa Banda Aceh. Pendekatan yang digunakan dalam penelitian ini adalah pendekatan kuantitatif dengan jenis penelitian eksperimen. Populasi penelitian adalah seluruh siswa kelas Kelas VII MTsN Meuraxa Banda Aceh. Sedangkan sampel dalam penelitian ini adalah kelas VII-1 sebagai kelas eksperimen dan kelas VII-2 sebagai kelas kontrol. Pengumpulan data dilakukan dengan cara tes yang dilakukan hanya tes akhir (post-test), yang digunakan untuk mengetahui aspek kemampuan siswa. Teknik analisis data dalam penelitian ini menggunakan korelasi product moment dan data tersebut diolah dengan menggunakan uji-t. Hasil penelitian menunjukkan prestasi siswa pada kelas eksperimen lebih meningkat daripada kelas kontrol. Pada kelas VII-1 (kelas eksperimen) siswa yang mencapai ketuntasan sebesar 92 persen dan kelas VII-2 (kelas kontrol) siswa yang mencapai ketuntasan sebesar 36 persen. Perhitungan korelasi (r) untuk mencari pengaruh antar variabel X dan Y diperoleh hasil sebesar 0,96 yang menunjukkan nilai korelasi yang sangat tinggi dan juga diperoleh hasil dari uji hipotesis (uji-t) yaitu t hitung 23,72 dan t tabel 1,67. Hal tersebut menunjukkan bahwa adanya hubungan erat antara variabel X (nilai hasil siswa belajar menggunakan model pembelajaran kooperatif tipe talking stick dengan strategi joyful learning ) dan variabel Y (nilai prestasi belajar konvensional). Dari hasil tersebut model pembelajaran kooperatif tipe talking stick dengan strategi joyful learning memberikan pengaruh yang signifikan terhadap prestasi belajar IPS siswa kelas VII MTsN Meuraxa Banda Aceh. Kata Kunci: Pembelajaran Kooperatif, Model Pembelajaran Talking Stick, Joyful Learning, Prestasi Belajar.