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2022 ◽  
Author(s):  
Stefan Bachhofner ◽  
Peb Ruswono Aryan ◽  
Bernhard Krabina ◽  
Robert David

This paper presents an on-going research where we studythe problem of embedding meta-data enriched graphs, with a focus onknowledge graphs in a vector space with transformer based deep neuralnetworks. Experimentally, we compare ceteris paribus the performance ofa transformer-based model with other non-transformer approaches. Dueto their recent success in natural language processing we hypothesizethat the former is superior in performance. We test this hypothesizesby comparing the performance of transformer embeddings with non-transformer embeddings on different downstream tasks. Our researchmight contribute to a better understanding of how random walks in-fluence the learning of features, which might be useful in the design ofdeep learning architectures for graphs when the input is generated withrandom walks.


2021 ◽  
Vol 30 (2) ◽  
pp. 90-100
Author(s):  
Muhammad iqbal Nurfauzan ◽  
Hanani Faizatunnisa

Tujuan penelitian ini untuk menganalisa bagaimana penelitian tentang dampak covid-19 pada bidang bisnis diklasifikasikan beserta trendnya dan untuk mengetahui topik apa yang dapat dijadikan variabel penelitian dimasa yang akan dating. Metode penelitian adalah tinjauan pustaka dengan menggunakan pendekatan analisis bibliometrik dimulai dari pendefinisian kata kunci ‘Covid-19’ dan ‘Jurnal’ pada aplikasi Publish or Perish dengan Google Scholar sebagai database. Setelah dilakukan penyempitan hasil dengan memilih topik khusus pada ‘bisnis dan manajemen’, diperoleh 32 artikel terkait untuk ditinjau dari 125 artikel hasil pencarian awal. Kemudian disusun meta data menggunakan aplikasi Mendeley, aplikasi Vosviewer digunakan untuk membuat visualisasi trend penelitian. Hasil penelitian menunjukkan jika klasifikasi penelitian mengenai covid-19 pada bidang bisnis dan manajemen dibagi menjadi 3 cluster dengan topik yang berpusat pada sektor bisnis yang terdampak seperti pariwisata, UMKM, dan pasar tradisional. Kinerja karyawan, pemutusan hubungan kerja, dan WFH merupakan cluster pada bidang manajemen. Penelitian ini terbatas oleh jumlah dan kurangnya variasi topik penelituan artikel yang ditinjau.


2021 ◽  
Vol 19 (2) ◽  
pp. 63
Author(s):  
Andre Kusuma ◽  
Hendrawan Santosa Putra ◽  
Sudarno Sudarno

ABSTRACTThe development of BUMDes in Indonesia occurred after the issuance of Law No. 4 of 2015. This development is not only judged by the units formed but the number of studies as well. The development of BUMDes research has occurred significantly, this brings new needs so that these developments can be communicated. Bibliometrics are used to communicate the development of a discipline for further research needs. This study aims to map the development of research related to BUMDes from 2015-2020. The summary of this research is expected to be the starting point for further research in BUMDes studies. The research method used is quasi qualitative with bibliometric analysis. The research data is in the form of articles collected from the crossref meta data from 2015-2020. Filtering articles using the keywords "bumdes" and "village owned enterprises" and journals must be indexed on SINTA or SCOPUS. The results of this study indicate that of the 223 articles collected, 105 articles have been indexed in SINTA and 2 research articles have been indexed by SCOPUS. Trends in accounting research topics (2015-2020) are finance and management, and the potential for further research is related to the study of effective governance for BUMDes.Keywords: Bibliometric; BUMDes; Research Opportunities; Research Trends; SINTA ABSTRAKPerkembangan BUMDes di Indonesia terjadi setelah dikeluarkannya UU No. 4 Tahun 2015. Perkembangan ini bukan hanya dinilai dari unit yang terbentuk melainkan jumlah penelitian juga. Perkembangan penelitian BUMDes terjadi secara signifikan, hal ini membawa kebutuhan baru agar perkembangan tersebut dapat dikomunikasikan. Bibliometrik digunakan untuk mengkomunikasikan perkembangan suatu disiplin ilmu untuk kebutuhan penelitian selanjutnya. Penelitian ini bertujuan untuk  memetakan perkembangan penelitian terkait dengan BUMDes dari tahun 2015-2020. Rangkuman penlitian ini diharapkan dapat menjadi pijakan awal untuk penelitian selanjutnya dalam kajian BUMDes. Metode penelitian yang digunakan yaitu kuasi kualitatif dengan analisis bibliometrik. Data penelitian berupa artikel yang dikumpulkan dari meta data Crossref dalam kurun waktu 2015-2020. Penyaringan artikel menggunakan keyword “bumdes” dan “village owned enterprice” serta jurnal harus terindeks di SINTA atau SCOPUS. Hasil dari penelitian ini menunjukan dari 223 artikel yang dikumpulkan terdapat 105 artikel yang sudah terindeks di SINTA dan 2 artikel penelitian terindeks SCOPUS. Tren topik penelitian akuntansi (2015-2020) adalah keuangan dan manajemen, dan potensi penelitian selanjutnya terkait dengan kajian tata kelola yang efektif untuk BUMDesKata kunci : Bibliometrik; BUMDes; Peluang Riset; SINTA; Tren Penelitian


2021 ◽  
pp. ebmental-2021-300334
Author(s):  
Agata Łaszewska ◽  
Timea Mariann Helter ◽  
Anna Nagel ◽  
Nataša Perić ◽  
Judit Simon

QuestionThe aim was to systematically collate and synthesise existing, publicly available patient-reported outcome measure (PROM) information suitable for quality of life (QOL)/well-being measurement in mental health economic evaluations, with specific focus on their applicability in multisectoral, multinational, multiperson economic evaluations and to develop an electronic PROM compendium with meta-data.Study selection and analysisA systematic literature search for non-disease-pecific PROMs and their versions suitable for the measurement of QOL/well-being or recovery was conducted from 2008 to February 2020. Six criteria were applied to judge their suitability in multisectoral, multinational, multiperson economic evaluations: (i) availability of separate adult and child/adolescent versions, (ii) availability of a proxy-completion option, (iii) assessing outcomes beyond health, (iv) availability of translations (≥2 language versions), (v) availability of a preference-based valuation, (vi) availability of value sets in more than one country.FindingsThe final ProgrammE in Costing, resource use measurement and outcome valuation for Use in multisectoral National and International health economic evaluAtions (PECUNIA) PROM-MH Compendium includes 204 unique scales, out of which 88 are individual instruments, while the remaining 116 scales belong to 46 PROM families with more than one distinctive version. Out of the total 134 individual PROMs/PROM families, 72% have at least two language versions, 8% measure broader well-being beyond health-related QOL, 11% have preference-based valuation, with multiple country sets available for 60% of these. None of the identified PROMs met all six proposed criteria.ConclusionsThe PECUNIA PROM-MH Compendium provides a unique overview of the relevant PROMs and their linked meta-data, and should be a helpful tool when choosing a suitable instrument for future mental health economic evaluations.


2021 ◽  
Author(s):  
Aylin Caliskan ◽  
Seema Dangwal ◽  
Thomas Dandekar

Biological molecular data such as sequence information increase so rapidly that detailed metadata, describing the process and conditions of data collection as well as proper labelling and typing of the data become ever more important to avoid mistakes and erroneous labeling. Starting from a striking example of wrong labelling of patient data recently published in Nature, we advocate measures to improve software metadata and controls in a timely manner to not rapidly loose quality in the ever-growing data flood.


2021 ◽  
pp. 106939712110657
Author(s):  
Joseph Watts ◽  
Joshua Conrad Jackson ◽  
Chris Arnison ◽  
Elise M. Hamerslag ◽  
John H. Shaver ◽  
...  

Quantitative cross-cultural databases can help uncover structure and diversity across human populations. These databases have been constructed using a variety of methodologies and have been instrumental for building and testing theories in the social sciences. The processes and assumptions behind the construction of cross-cultural databases are not always openly discussed by creators or fully appreciated by their users. Here, we scrutinize the processes used to generate quantitative cross-cultural databases, from the point of ethnographic fieldwork to the processing of quantitative cross-cultural data. We outline challenges that arise at each stage of this process and discuss the strengths and limitations of how existing databases have handled these challenges. We suggest a host of best practices for cross-cultural database construction, and stress the importance of coding source meta-data and using this meta-data to identify and adjust for source biases. This paper explicitly discusses the processes, problems, and principles behind cross-cultural database construction, and ultimately seeks to promote rigorous cross-cultural comparative research.


2021 ◽  
Vol 10 (1) ◽  
Author(s):  
Carrie Ann Adams ◽  
Esteban Fernández-Juricic ◽  
Erin Michael Bayne ◽  
Colleen Cassady St. Clair

Abstract Background Artificial light is ubiquitous in the built environment with many known or suspected impacts on birds. Birds flying at night are known to aggregate around artificial light and collide with illuminated objects, which may result from attraction and/or disorientation. In other contexts, birds are repelled by light-based deterrents, including lasers and spotlights. Artificial light can also change birds’ perceptions of habitat quality, resulting in selection or avoidance of illuminated areas. Studies documenting aggregation, deterrence, and habitat selection are typically considered separate literature bodies, but they actually study a common set of populations, interventions/exposures, and responses. Our systematic map provides a comprehensive, searchable database of evidence of the effects of artificial light on bird movement and distribution, increasing both the quantity and diversity of studies that are accessible for further comparison and synthesis. We identify and describe the evidence available for four secondary questions relevant to conservation or management: aggregation/mortality at structures with artificial lights, evidence that light attracts and/or disorients birds, light-based deterrent efficacy, and the influence of continuous illumination on habitat selection. Methods Using the principles of systematic reviews and methods published in an earlier protocol, we conducted an extensive and interdisciplinary literature search. We searched multidisciplinary citation indices as well as databases and websites specific to conservation, pest management, transportation, and energy. In our map, we included all studies reporting eligible populations (birds), interventions/exposures (artificial light), and outcomes (movement through space, behaviour preceding movement, or distribution). We evaluated the quantity of available evidence based on meta-data fields related to study context, population traits, light source characteristics, and outcome variables. We used these meta-data to identify relevant evidence for each secondary question and describe aspects of our secondary questions that may support reviews (evidence clusters) and others that require more research (knowledge gaps). Review findings We manually screened 26,208 articles and coded meta-data for 490 eligible studies in a searchable database, organizing the literature to facilitate future reviews and evidence-based management. Much of the evidence was concentrated in particular locations (Northern hemisphere), taxonomic orders (Passeriformes, Charadriiformes, and others), and light wavelengths (red and white). We identified 56 distinct response variables and organized them into 3 categories (behaviour, distribution, and avian community), showing the diversity in bird responses to light. Conclusions Our database can be used to answer the secondary questions we identified and other questions about the effects of artificial light on bird movement and resulting changes to distribution. There may be sufficient evidence for a review of the weather and lunar conditions associated with collisions, which could help identify nights when reduction of artificial light is most important. Further experiments should investigate whether specific types of light can reduce collisions by increasing the detectability of structures with artificial lights. The efficacy of lasers as deterrents could be evaluated through systematic review, though more studies are needed for UV/violet lasers. To reduce the impacts of outdoor lighting on birds, research should investigate how spectral composition of white light influences bird attraction, orientation, and habitat selection.


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