REGIONAL BIAS IN LATE ANTIQUE AND EARLY MEDIEVAL COIN FINDS AND ITS EFFECTS ON DATA: THREE CASE STUDIES

This paper discusses the role of bias and uncertainty in the FLAME project (Framing the Late Antique and Early Medieval Economy) at Princeton University. FLAME is a large Digital Humanities project focused on collecting and storing data on coin minting and circulation in west Afro-Eurasia from 325 to 750 CE, roughly coinciding with the period of transition between the late antique and early medieval periods. The overarching goal is historical – that is, we wish to be able to say something new about how the world of late antiquity and the medieval period really was. However, in the process of building this database, and its accompanying online tools, we have also observed that the data is difficult and problematic. This paper, then, is an account of some of these historiographical and methodological issues in the form of three case studies (Britain, France, and Ukraine) and a short discussion of strategies that FLAME employs to communicate these biases to users, who benefit from a transparent discussion of messiness and difficulty in the data. The paper proceeds in seven sections, of which the first is an introduction. Section Two presents basic technical details of the project, such as its database implementation (MySQL) and its online visualization systems (ArcGIS), access to which can be found at https://flame.princeton.edu. Section Three discusses the historiographic questions at stake, distinguishing between Primary Bias (inherent in materials themselves) and Secondary Bias (particular to national and political contexts). Section Four, Five, and Six are each devoted to a separate case study: Britain, France, and Ukraine. Each discusses FLAME's data on that region and briefly touches upon contextual factors that may bias regional data. Thus, Section Four discusses Britain, with much analysis focused on the role of the Portable Antiquities Scheme in incentivizing reporting of found antiquities, and its effects on coin data. Section Five discusses France, where FLAME records many coin finds, but from a limited time period (primarily from Merovingian states). Section Six discusses the situation in Ukraine, where we were helped by existing scholarly resources (such as the coin inventories of Kropotkin), but where cultural heritage preservation suffers from weak state enforcement and where much scholarship suffers from spotty recording practices, and often outright theft of national treasures, going back to the imperial Russian period. Section Seven concludes the paper, noting that such methodological and second-order discussion of bias is a critical desideratum for the Digital Humanities as it matures into its second decade.

Safety and Ergonomics Risk Assessment (SERA): A Customized Ergonomics Assessment Tool for Automobile Manufacturing

Musculoskeletal disorders continue to be a leading source of lost workdays across all industries. Common ergonomics assessment tools may include criteria extraneous to the stresses at specific companies or industries. Therefore, the creation of assessment tools, based on scientifically validated methods, with industry- or company-specific stresses may be of benefit. The BMW Group has developed the Safety and Ergonomics Risk Assessment (SERA) tool. This ergonomics assessment method incorporates the most up-to-date scientific methods and international standards, and is used worldwide in all production facilities of the BMW Group. As noted above, a major advantage of SERA over conventional ergonomics tools is the focus on ergonomics stresses common to automobile manufacturing and the consequent exclusion of irrelevant parameters, thereby reducing the time, effort, and training required for workplace assessments. Other advantages include the international uniformity of assessments and a web- and database-implementation allowing for easily comparable international reporting. The implementation of this method at the BMW Group has enabled a greater transparency for ergonomics across all international plants, and more effective and targeted ergonomics interventions. This publication will outline the basic motivation for SERA, highlight the relevant scientific sources and international standards, and general steps of an evaluation.

The database of energy and operational characteristics of public buildings: development prospects for the purposes of state energy efficiency policy

This paper presents the database of energy and operational characteristics of public buildings as an effective information and technical tool for implementation of the policy of energy efficient modernization of buildings. Based on the results of the state pilot project of creating government buildings and district state administration buildings database, the article presents a list of potential users of the database in case of its scaling to the national level including other types of buildings. The author identifies the desired structural elements of the buildings database, suggesting the relevant sources of information. Based on the relevant foreign experience, the strategic prospects of the buildings database development are outlined, the principles of its maintenance are presented. The multiplier effect of the national buildings database implementation and further directions of research are determined.

Reviewer Recommendations Using Document Vector Embeddings and a Publisher Database: Implementation and Evaluation

<div>We develop and evaluate an automated data-driven framework for providing reviewer recommendations for submitted manuscripts. Given inputs comprising a set of manuscripts for review and a listing of a pool of prospective reviewers, our system uses a publisher database to extract papers authored by the reviewers from which a Paragraph Vector (doc2vec ) neural network model is learned and used to obtain vector space embeddings of documents. Similarities between embeddings of an individual reviewer’s papers and a manuscript are then used to compute manuscript-reviewer match scores and to generate a ranked list of recommended reviewers for each manuscript. Our mainline proposed system uses full text versions of the reviewers’ papers, which we demonstrate performs significantly better than models developed based on abstracts alone, which has been the predominant paradigm in prior work. Direct retrieval of reviewer’s manuscripts from a publisher database reduces reviewer burden, ensures up-to-date data, and eliminates the potential for misuse through data manipulation. We also propose a useful evaluation methodology that addresses hyperparameter selection and enables indirect comparisons with alternative approaches and on prior datasets. Finally, the work also contributes a large scale retrospective reviewer matching dataset and evaluation that we hope will be useful for further research in this field. Our system is quite effective; for the mainline approach, expert judges rated 38% of the recommendations as Very Relevant; 33% as Relevant; 24% as Slightly Relevant; and only 5% as Irrelevant.</div>

Reviewer Recommendations Using Document Vector Embeddings and a Publisher Database: Implementation and Evaluation

<div>We develop and evaluate an automated data-driven framework for providing reviewer recommendations for submitted manuscripts. Given inputs comprising a set of manuscripts for review and a listing of a pool of prospective reviewers, our system uses a publisher database to extract papers authored by the reviewers from which a Paragraph Vector (doc2vec ) neural network model is learned and used to obtain vector space embeddings of documents. Similarities between embeddings of an individual reviewer’s papers and a manuscript are then used to compute manuscript-reviewer match scores and to generate a ranked list of recommended reviewers for each manuscript. Our mainline proposed system uses full text versions of the reviewers’ papers, which we demonstrate performs significantly better than models developed based on abstracts alone, which has been the predominant paradigm in prior work. Direct retrieval of reviewer’s manuscripts from a publisher database reduces reviewer burden, ensures up-to-date data, and eliminates the potential for misuse through data manipulation. We also propose a useful evaluation methodology that addresses hyperparameter selection and enables indirect comparisons with alternative approaches and on prior datasets. Finally, the work also contributes a large scale retrospective reviewer matching dataset and evaluation that we hope will be useful for further research in this field. Our system is quite effective; for the mainline approach, expert judges rated 38% of the recommendations as Very Relevant; 33% as Relevant; 24% as Slightly Relevant; and only 5% as Irrelevant.</div>

Neo4j Graph Database Implementation for LinkedIn

The presented article mainly circumspect the idea for the use and implementation of graph database in the most social media of today. Currently many companies are using neo4j graph database for their workouts for data management. We shall stick with social media for this particular paper. We have used neo4j graph database for maintaining data of LinkedIn user and pages in a very systematic manner. Facebook and Twitter do currently use graph databases so we thought of implementing the same for LinkedIn.

DEVELOPMENT AND IMPLEMENTATION OF WOVEN BAMBOO HANDICRAFT ONLINE SHOP IN LOYOK VILLAGE, LOMBOK, INDONESIA

Lombok Island in Indonesia has been selected as the World's Best Halal Tourism Destination and World's Best Halal Honeymoon Destination in the World Halal Tourism Summit in Dubai 2015 (Khoiriati, 2018). Lombok Island has also been ranked as the Best Halal Travel Destination in Indonesia according to IMTI 2018 and was also named the best halal destination in the international arena in tourism (Ramadhani, 2020). However, the Lombok Earthquake 2018 and the Covid-19 pandemic in 2020 had an impact on Lombok tourism. Loyok village in Lombok as a tourist village that produces woven bamboo crafts is also experiencing marketing problems, namely the decreasing number of sales. In this research, the solution taken in the marketing problem of woven bamboo handicraft products is carried out through the development and implementation of an online shop website. The development method chosen is the waterfall method. System design includes flowchart systems, modeling and database design. In the coding process, the programming language used is PHP 7.0 and MySQL 5.0 database. Implementation has been carried out online and can be accessed via domain anyamandesaloyok.com

Non-excisional laser therapies for hemorrhoidal disease: a systematic review of the literature

Non-excisional laser therapies are emerging treatment for grades II and III hemorrhoidal disease (HD). However, so far, their efficiency is based on low-level evidence. Therefore, we aimed to systematically review the efficiency of non-excisional laser therapies for HD. MEDLINE/Pubmed, Web of science, Embase, and Cochrane were searched from database implementation until the April 17th, 2020. We included studies reporting at least one of surgical indicators of postoperative outcomes of laser therapies, encompassing laser hemorrhoidoplasty (LH) and hemorrhoidal laser procedure (HeLP). Fourteen studies describing LH and HeLP were included, representing 1570 patients. The main intraoperative complication was bleeding (0–1.9% of pooled patients for LH, 5.5–16.7% of pooled patients for HeLP). Postoperative complications occurred in up to 64% of patients after LH and 23.3% after HeLP. Resolution of symptoms ranged between 70 and 100% after LH and between 83.6 and 90% after HeLP. Moreover, four randomized controlled trials included in our review reported similar resolution after LH compared with hemorrhoidectomy or mucopexy and after HeLP compared with rubber band ligation. Recurrence rate was reported to range between 0 and 11.3% after LH and between 5 and 9.4% after HeLP. When compared with hemorrhoidectomy, LH showed conflicting results with one randomized controlled trial reporting similar recurrence rate, but another reporting decreased recurrences associated with hemorrhoidectomy. Laser therapies showed lower postoperative pain than hemorrhoidectomy or rubber band ligation. LH and HeLP are safe and effective techniques for the treatment of grades II and III HD.