scholarly journals Towards a better understanding on mitigating algorithm aversion in forecasting: an experimental study

2021 ◽  
Author(s):  
Markus Jung ◽  
Mischa Seiter
Keyword(s):  
Experimental Study ◽  
Environmental Variables ◽  
Time Pressure ◽  
Data Sources ◽  
Data Input ◽  
Decision Rights ◽  
New Techniques ◽  
Managerial Decisions ◽  
Wide Range ◽  
Forecasting Performance

AbstractForecasts serve as the basis for a wide range of managerial decisions. With the potential of new data sources and new techniques for data analysis, human forecasters are increasingly interacting with algorithms. Although algorithms can show better forecasting performance than humans, forecasters do not always accept these algorithms and instead show aversion to them. Algorithm aversion has become a widely known phenomenon. Drawing on the seminal study of Dietvorst et al. (J Exp Psychol Gen 144(1):114–126, 2015), we extend the evidence on algorithm aversion by introducing three environmental variables from the management accounting literature. We argue that time pressure, “do your best” goals, and forecasters’ data input decision rights on the algorithms input mitigate algorithm aversion. To test our hypotheses, we conducted an experimental study with 1,840 participants overall. We found support for our hypothesis that time pressure mitigates algorithm aversion. We found evidence that the mitigation effect is based on forecasters’ loss of confidence in their own forecast when they are under time pressure. We found no support for our hypothesis on “do your best” goals or forecasters’ data input decision rights.

scholarly journals Preparation of Silver Nanoparticles and Their Industrial and Biomedical Applications: A Comprehensive Review

2015 ◽  
Vol 2015 ◽  
pp. 1-16 ◽  
Author(s):  
Adnan Haider ◽  
Inn-Kyu Kang
Keyword(s):  
Silver Nanoparticles ◽  
Biomedical Applications ◽  
Consumer Products ◽  
Ag Nps ◽  
New Techniques ◽  
Governing Factor ◽  
Wide Range ◽  
Microbial Proliferation ◽  
Synthetic Routes ◽  
Biomedical Fields

Silver nanoparticles (Ag-NPs) have diverted the attention of the scientific community and industrialist itself due to their wide range of applications in industry for the preparation of consumer products and highly accepted application in biomedical fields (especially their efficacy against microbes, anti-inflammatory effects, and wound healing ability). The governing factor for their potent efficacy against microbes is considered to be the various mechanisms enabling it to prevent microbial proliferation and their infections. Furthermore a number of new techniques have been developed to synthesize Ag-NPs with controlled size and geometry. In this review, various synthetic routes adapted for the preparation of the Ag-NPs, the mechanisms involved in its antimicrobial activity, its importance/application in commercial as well as biomedical fields, and possible application in future have been discussed in detail.

Why Oral Medicine is an exemplary choice for specialty? A Comprehensive Review

2021 ◽  
Author(s):  
Shibani Sahni
Keyword(s):  
Clinical Skills ◽  
Systemic Disease ◽  
Specialty Training ◽  
Oral Medicine ◽  
New Techniques ◽  
Oral Manifestation ◽  
Complex Patients ◽  
Wide Range ◽  
Future Direction ◽  
Definition Of

The purpose of this article was to describe a narrative review of the literature for understanding the reasons behind Oral Medicine gaining popularity as a choice for post graduate specialty training. Oral Medicine is the intersection of medicine and dentistry, and the clinicians are responsible for the management of oral mucosal disease, salivary gland dysfunction and oral manifestation of systemic disease, and facial pain in the definition of oral medicine and hence having a wide range of responsibilities. Breadth of knowledge on medically complex patients for example, rheumatologic, cardiovascular, cancer, endocrine, immuno-deficiency patients is required, which makes it an extremely interesting specialty and enables the clinicians to provide interdisciplinary care to the patients. It is important for dental education to foster new techniques in learning and preparing the students for clinical skills prior to patient care. The scope of impact of Oral Medicine has increased over the years, leading to it gaining popularity amongst dentists to take it up as a specialty training. The future direction of the study will be to understand how to enhance the research, clinical practice, and education for Oral Medicine.

scholarly journals Comparison between Online and Offline Price of Tobacco Products Using Novel Datasets

2018 ◽  
Vol 15 (10) ◽  
pp. 2282 ◽  
Author(s):  
Magdalena Opazo Breton ◽  
John Britton ◽  
Yue Huang ◽  
Ilze Bogdanovica
Keyword(s):  
Regression Analysis ◽  
Real Time ◽  
Control Measure ◽  
Data Sources ◽  
Tobacco Products ◽  
Product Range ◽  
Daily Data ◽  
Wide Range ◽  
Commercial Sources ◽  
Price Differences

Price of tobacco products has traditionally been relevant both for the industry, to respond to policy changes, and for governments, as an effective tobacco control measure. However, monitoring prices across a wide range of brands and brand variants requires access to expensive commercial sales databases. This study aims to investigate the comparability of average tobacco prices from two commercial sources and an in-house monitoring database which provides daily data in real time at minimal cost. We used descriptive and regression analysis to compare the monthly average numbers of brands, brand variants, products and prices of cigarettes and hand-rolling tobacco using commercial data from Nielsen Scantrack and Kantar Worldpanel, and an online price database (OPD) created in Nottingham, for the period from May 2013 to February 2017. There were marked differences in the number of products tracked in the three data sources. Nielsen was the most comprehensive and Kantar Worldpanel the least. Though average prices were very similar between the three datasets, Nottingham OPD prices were the highest and Kantar Worldpanel the lowest. However, regression analysis demonstrated that after adjustment for differences in product range, price differences between the datasets were very small. After allowing for differences in product range these data sources offer representative prices for application in price research. Online price tracking offers an inexpensive and near real-time alternative to the commercial datasets.

scholarly journals KEMANDIRIAN FINANSIAL LEMBAGA PENDIDIKAN MELALUI ENTREPRENEURSHIP DAN PARTNERSHIP

2016 ◽  
Vol 7 (1) ◽  
pp. 1197
Author(s):  
Ahmad Romadhon
Keyword(s):  
Participant Observation ◽  
Educational Institution ◽  
Boarding School ◽  
Research Data ◽  
Data Sources ◽  
Case Method ◽  
Financial Independence ◽  
Wide Range ◽  
Study Case ◽  
Depth Interviews

The objective of this research was to understand comprehensively the Financial Independent in Organization of Education through Entrepreneurship and partnership. it was a qualitative research with study case method conducted in Al Ashriyyah Nurul Iman Islamic Boarding School, Parung-Bogor. In this research data collecting with triangulation technique, Overall the researchers use participant observation, in-depth interviews, and documentation for the same data sources simultaneously. As a private educational institution, Al Ashriyyah Nurul Iman Foundation since its inception independently manage and develop the foundation to establish a wide range of entrepreneurial and cooperation with various institutions and circles. Financial independence has always strived through two things very well. Develop without relying on finance from other parties is a priority for YANIIBS, so that entrepreneurship and partnerships with these institutions become more developed and advanced

scholarly journals Improvement of Pump Performance at Off-Design Conditions

1985 ◽  
Author(s):  
J. Paulon ◽  
C. Fradin ◽  
J. Poulain
Keyword(s):  
Experimental Study ◽  
Flow Field ◽  
Mass Flow ◽  
Flow Characteristic ◽  
Three Dimensional ◽  
Operating Conditions ◽  
Pump Performance ◽  
Wide Range ◽  
Mass Flows ◽  
Design Value

Industrial pumps are generally used in a wide range of operating conditions from almost zero mass flow to mass flows larger than the design value. It has been often noted that the head-mass flow characteristic, at constant speed, presents a negative bump as the mass flow is somewhat smaller than the design mass flows. Flow and mechanical instabilities appear, which are unsafe for the facility. An experimental study has been undertaken in order to analyze and if possible to palliate these difficulties. A detailed flow analyzis has shown strong three dimensional effects and flow separations. From this better knowledge of the flow field, a particular device was designed and a strong attenuation of the negative bump was obtained.

scholarly journals Strength Comparison of FDM 3D Printed PLA Made by Different Manufacturers

TEM Journal ◽  
2020 ◽  
pp. 966-970
Author(s):  
Damir Hodžić ◽  
Adi Pandžić ◽  
Ismar Hajro ◽  
Petar Tasić
Keyword(s):  
Experimental Study ◽  
Additive Manufacturing ◽  
Fused Deposition Modelling ◽  
Fused Deposition ◽  
Manufacturing Technique ◽  
Plastic Materials ◽  
Wide Range ◽  
3D Printed ◽  
The Difference ◽  
Printing Parameters

Widely used additive manufacturing technique for plastic materials is Fused Deposition Modelling (FDM). The FDM technology has gained interest in industry for a wide range of applications, especially today when large number of different materials on the market are available. There are many different manufacturers for the same FDM material where the difference in price goes up to 50%. This experimental study investigates possible difference in strength of the 3D printed PLA material of five different manufacturers. All specimens are 3D printed on Ultimaker S5 printer with the same printing parameters, and they are all the same colour.

scholarly journals Community-curated and standardised metadata of published ancient metagenomic samples with AncientMetagenomeDir

2020 ◽  
Author(s):  
James A. Fellows Yates ◽  
Aida Andrades Valtueña ◽  
Ashild J. Vågene ◽  
Becky Cribdon ◽  
Irina M. Velsko ◽  
...  
Keyword(s):  
Large Scale ◽  
Genetic Data ◽  
Data Retrieval ◽  
Data Sources ◽  
Valuable Data ◽  
Dna And Rna ◽  
Wide Range ◽  
Evolutionary Studies ◽  
Meta Analyses ◽  
Microbial Samples

ABSTRACTAncient DNA and RNA are valuable data sources for a wide range of disciplines. Within the field of ancient metagenomics, the number of published genetic datasets has risen dramatically in recent years, and tracking this data for reuse is particularly important for large-scale ecological and evolutionary studies of individual microbial taxa, microbial communities, and metagenomic assemblages. AncientMetagenomeDir (archived at https://doi.org/10.5281/zenodo.3980833) is a collection of indices of published genetic data deriving from ancient microbial samples that provides basic, standardised metadata and accession numbers to allow rapid data retrieval from online repositories. These collections are community-curated and span multiple sub-disciplines in order to ensure adequate breadth and consensus in metadata definitions, as well as longevity of the database. Internal guidelines and automated checks to facilitate compatibility with established sequence-read archives and term-ontologies ensure consistency and interoperability for future meta-analyses. This collection will also assist in standardising metadata reporting for future ancient metagenomic studies.

scholarly journals Classifying Counterparty Sector in EMIR Data

2021 ◽  
pp. 117-143
Author(s):  
Francesca D. Lenoci ◽  
Elisa Letizia
Keyword(s):  
Case Studies ◽  
Greedy Algorithm ◽  
Euro Area ◽  
Building Block ◽  
European Market ◽  
Data Sources ◽  
Wide Range ◽  
Sector Classification ◽  
Market Infrastructure ◽  
Research And Policy

AbstractThe data collected under the European Market Infrastructure Regulation (“EMIR data”) provide authorities with voluminous transaction-by-transaction details on derivatives but their use poses numerous challenges. To overcome one major challenge, this chapter draws from eight different data sources and develops a greedy algorithm to obtain a new counterparty sector classification. We classify counterparties’ sector for 96% of the notional value of outstanding contracts in the euro area derivatives market. Our classification is also detailed, comprehensive, and well suited for the analysis of the derivatives market, which we illustrate in four case studies. Overall, we show that our algorithm can become a key building block for a wide range of research- and policy-oriented studies with EMIR data.

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