scholarly journals Rank-sensitive proportional aggregations in dynamic recommendation scenarios

2022 ◽  
Author(s):  
Stepan Balcar ◽  
Vit Skrhak ◽  
Ladislav Peska
Keyword(s):  
User Satisfaction ◽  
Selection Procedure ◽  
Fuzzy Membership ◽  
Implicit Feedback ◽  
Trade Off ◽  
Testing Framework ◽  
Click Through Rate ◽  
The Impact ◽  
Very High

AbstractIn this paper, we focus on the problem of rank-sensitive proportionality preservation when aggregating outputs of multiple recommender systems in dynamic recommendation scenarios. We believe that individual recommenders may provide complementary views on the user’s preferences or needs, and therefore, their proportional (i.e. unbiased) aggregation may be beneficial for the long-term user satisfaction. We propose an aggregation framework (FuzzDA) based on a modified D’Hondt’s algorithm (DA) for proportional mandates allocation. Specifically, we adjusted DA to register fuzzy membership of items and modified the selection procedure to balance both relevance and proportionality criteria. Furthermore, we propose several iterative votes assignment strategies and negative implicit feedback incorporation strategies to make FuzzDA framework applicable in dynamic recommendation scenarios. Overall, the framework should provide benefits w.r.t. long-term novelty of recommendations, diversity of recommended items as well as overall relevance. We evaluated FuzzDA framework thoroughly both in offline simulations and in online A/B testing. Framework variants outperformed baselines w.r.t. click-through rate (CTR) in most of the evaluated scenarios. Some variants of FuzzDA also provided the best or close-to-best iterative novelty (while maintaining very high CTR). While the impact of the framework variants on user-wise diversity was not so extensive, the trade-off between CTR and diversity seems reasonable.

scholarly journals Impact of community-led local development on territorial prosperity

2021 ◽  
Vol 120 ◽  
pp. 01015
Author(s):  
Stoyanka Tsacheva ◽  
Violetka Zheleva
Keyword(s):  
Development Policy ◽  
Local Development ◽  
Statistical Processing ◽  
Expert Assessment ◽  
Territorial Development ◽  
Development Approach ◽  
Programming Period ◽  
The Impact ◽  
Very High

Community-led local development is an approach that is increasingly applied in traditional territorial development policy. In this method, management is left in the “hands of local people”, who receive long-term funding, which they distribute according to the needs of the region. The aim of the study is to examine the impact and participation in the development of the territory through CLLD measures. The expert assessment and recommendations of the surveyed LAG leaders and specialists regarding the contribution of the community-led local development approach have been sought. The applied research methods in the present study are theoretical and empirical, incl. analysis, synthesis, comparison, survey, statistical processing. The results of the survey show that the majority of respondents are satisfied with the implementation of CLLD and have clear and concrete proposals for improving the approach in the next programming period. In conclusion it is necessary to note that despite all difficulties, the interest in CLLD on the part of local communities is very high, because the approach provides many opportunities to solve problems related to local development. Key words: community-led local development, LEADER program, LAG, territorial prosperity.

scholarly journals Capital Structure and Firms’ Performance: Evidence from Vietnam’s Stock Exchange

2015 ◽  
Vol 7 (12) ◽  
pp. 1 ◽  
Author(s):  
Tristan Nguyen ◽  
Huy-Cuong Nguyen
Keyword(s):  
Capital Structure ◽  
Stock Exchange ◽  
Debt Maturity ◽  
Management Process ◽  
Short Term ◽  
Fixed Assets ◽  
Two Factors ◽  
The Impact ◽  
Very High

<p>Our paper examines what impact capital structure has on firms’ performance in selected firms listed on HCMC Stock Exchange. The data is collected from 147 listed companies during the period from 2006 to 2014. The study not only checks the impact the level of leverage has on firms’ performance, which is found to be negative in this study, but it also uses the short-term and long-term debt ratios to see the effect of debt maturity. However, there is no difference whether it is short-term or long-term. Tangibility is found to be negative with a very high proportion on average. With the suggestion that companies might invest too much in fixed assets and there is a lack of efficiency, this could be the alert for firms to improve their management process. Size and growth are found to be positive, since larger firms have lower costs of bankruptcy and higher growth rates associate with higher performance. Moreover, the study also adds the effects of industry and macroeconomics, and the result shows a correlation between the two factors and firms’ performance.</p>

State of the Art Dashboards for Reflective Practice Based on Clinical Indicator Data: A Scoping Review (Preprint)

2021 ◽  
Author(s):  
Bernard Bucalon ◽  
Kerri Brown ◽  
Tim Shaw ◽  
Judy Kay
Keyword(s):  
Reflective Practice ◽  
Professional Learning ◽  
Scoping Review ◽  
User Satisfaction ◽  
Clinical Indicators ◽  
Clinical Indicator ◽  
Surgical Data ◽  
Indicator Data ◽  
The Impact

BACKGROUND There is an increasing interest to use routinely collected electronic health data to support reflective practice and long-term professional learning. Studies have evaluated the impact of dashboards on clinician decision-making, task completion time, user satisfaction, and adherence to clinical guidelines. OBJECTIVE The scoping review will summarize the literature on dashboards based on patient administrative, medical, and surgical data for clinicians to support reflective practice. METHODS A scoping review was conducted using the Arksey and O’Malley framework. A search was conducted in five electronic databases (MEDLINE, EMBASE, Scopus, ACM Digital Library, Web of Science) to identify studies that meet the inclusion criteria. Study selection and characterization were performed by two independent reviewers. One reviewer extracted the data that was analyzed descriptively to map the available evidence. RESULTS A total of 18 dashboards from eight countries were assessed. Purposes for the dashboards were designed for performance improvement (n=10), to support quality and safety initiatives (n=6), and management and operations (n=4). Data visualizations were primarily designed for team use (n=12) rather than individual clinicians (n=4). Evaluation methods varied between asking the clinicians directly (n=11), observing user behavior through clinical indicator and usage log data (n=14), and usability testing (n=4). The studies reported high scores from standard usability questionnaires, favorable surveys, and interview feedback. Improvements to underlying clinical indicators were observed in seven of nine studies, while two studies reported no significant changes to performance. CONCLUSIONS This scoping review maps the current landscape of literature on dashboards based on routinely collected clinical indicator data. While there were common data visualization techniques and clinical indicators used across studies, there was diversity in the design of the dashboards and their evaluation. There was a lack of detail in design processes documented for reproducibility. We identified a lack of interface features to support clinicians to make sense of and reflect on their performance data for long-term professional learning.

scholarly journals Impact of Post-Harvest Processing and Storing of Potato Tubers on Toxic Compounds Accumulation

2020 ◽  
Vol 24 (2) ◽  
pp. 39-44
Author(s):  
Magdalena Dusza ◽  
Maciej Sporysz ◽  
Dorota Sokołowska ◽  
Katarzyna Grotkiewicz
Keyword(s):  
Physiological Stress ◽  
Food Studies ◽  
Potato Production ◽  
Potato Tubers ◽  
Toxic Compounds ◽  
The Family ◽  
Steroid Glycosides ◽  
The Impact ◽  
Very High

AbstractDespite a long-term reduction trend, the potato production in Poland compared to EU countries is still very high. Therefore, the aim of the paper was to investigate the impact of mechanical damages and light for various genotypes on glycoalkaloids accumulation. Glycoalkaloids are toxic steroid glycosides that naturally occur in the family of Solanaceae. According to many authors, their presence in plants is related to resistance to a physiological stress inflicted by mechanical damages and infections caused by some microorganisms and insects. The TGA content above 200 mg∙kg−1 in a fresh mass of potatoes is an upper limit that guarantees health safety of food. Studies were carried out on 28 potato cultivars divided into 4 groups. The studies that were carried out after harvesting and after 5 months of storage in the experimental storage room in the temperature of 8°C showed an impact of damages and exposition to light of potato tubers on the content of glycoalkaloids.

scholarly journals Comparative analysis of unemployment and inflation in Mexico

2019 ◽  
pp. 27-37
Author(s):  
Alberto Merced Castro-Valencia
Keyword(s):  
Economic Growth ◽  
Inverse Relationship ◽  
Annual Data ◽  
Productive Activity ◽  
Trade Off ◽  
Panel Regressions ◽  
Monetary Regime ◽  
Individual Economy ◽  
Very High

The article examines, based on panel regressions, the long-term relationship between inflation and economic growth based on information for 70 countries and annual data for 1950-2010 The results do not find evidence of a significant trade-off between in fl ation and long-term growth for this sample and period, except if national experiences with average annual in fl ations above the annual 65% threshold are included. That is, outside regimes with persistently very high rates of inflation, there is no systematic or significant inverse relationship between inflation and the growth rate of productive activity. The absence of such long-term trade-off for the aggregate panel is far from implying that for any individual economy the inflation undermines its growth only if it exceeds the 65% per annum The analysis by groups of countries reveals that the value of the threshold of significance is a function of the current monetary regime.

scholarly journals Impact of Flow Variation on Hydropower Projects in Budhigandaki River Basin of Nepal

2021 ◽  
Vol 26 (1) ◽  
pp. 89-98
Author(s):  
Suresh Marahatta ◽  
Laxmi Prasad Devkota ◽  
Deepak Aryal
Keyword(s):  
Annual Variation ◽  
Energy Generation ◽  
Dry Season ◽  
Wet Season ◽  
Flow Variation ◽  
Small Uncertainty ◽  
Average Loss ◽  
The Impact ◽  
Very High

Daily flow data from 1964 to 2015 of Budhigandaki River at Arughat were analyzed to assess the impact of flow variation at different time scales to the run of the river (RoR) type of hydropower projects. The data show very high inter-annual variation in daily, monthly and seasonal flows. The long term annual average flow at Arughat was 160 m3/s and varies from 120 to 210 m3/s. The long-term averages of loss in flow for both dry and wet seasons based on daily flows for three design discharges (Q90, Q60 and Q40) were found to be respectively -0.72, -1.76 and -1.54 m3/s for dry season and 0.0, -0.27 and -2.26 m3/s for wet season.  Although long-term average loss is small, uncertainty increases with the increase in design discharge. The long-term dry season power loss is about 3 % for the RoR projects of the basin however, its annual variation is large. There is a probability of losing the quantum of energy generation by nearly 40% in some years and gaining by about 30 % in some other years in dry season. The impact of flow variation on power production was negative in both dry and wet seasons for RoR projects of Budhigandaki basin. This study concludes that uncertainty arising from daily flow variation should be assessed while estimating energy generation in hydropower projects. Intra-annual flow variation is, thus, to be taken into consideration while calculating the power generated by the RoR plants; and it should be reflected in power purchase agreement.

scholarly journals Adaptive Modeling for Risk-Aware Decision Making

2019 ◽  
Vol 33 ◽  
pp. 9896-9897
Author(s):  
Sandhya Saisubramanian
Keyword(s):  
Decision Making ◽  
Autonomous Agent ◽  
Decision Making Under Uncertainty ◽  
Risk Awareness ◽  
Reasoning Under Uncertainty ◽  
Adaptive Modeling ◽  
Trade Off ◽  
Core Capability ◽  
The Impact

This thesis aims to provide a foundation for risk-aware decision making. Decision making under uncertainty is a core capability of an autonomous agent. A cornerstone for with long-term autonomy and safety is risk-aware decision making. A risk-aware model fully accounts for a known set of risks in the environment, with respect to the problem under consideration, and the process of decision making using such a model is risk-aware decision making. Formulating risk-aware models is critical for robust reasoning under uncertainty, since the impact of using less accurate models may be catastrophic in extreme cases due to overly optimistic view of problems. I propose adaptive modeling, a framework that helps balance the trade-off between model simplicity and risk awareness, for different notions of risks, while remaining computationally tractable.

scholarly journals The impact of CMEs on the critical frequency of F2-layer ionosphere (foF2)

2019 ◽  
Vol 15 (S356) ◽  
pp. 400-402
Author(s):  
Alene Seyoum ◽  
Nat Gopalswamy ◽  
Melessew Nigussie ◽  
Nigusse Mezgebe
Keyword(s):  
Critical Frequency ◽  
Angular Width ◽  
High Latitudes ◽  
Solar Cycles ◽  
Middle Latitudes ◽  
Low Latitudes ◽  
Critical Frequency Fof2 ◽  
The Impact ◽  
Very High

AbstractThe ionospheric critical frequency (foF2) from ionosonde measurements at geographic high, middle, and low latitudes are analyzed with the occurrence of coronal mass ejections (CMEs) in long term variability of the solar cycles. We observed trends of monthly maximum foF2 values and monthly averaged values of CME parameters such as speed, angular width, mass, and kinetic energy with respect to time. The impact of CMEs on foF2 is very high at high latitudes and low at low latitudes. The time series for monthly maximum foF2 and monthly-averaged CME speed are moderately correlated at high and middle latitudes.

Comparison of Long-Term Neurocognitive Outcomes in Young Children With Acute Lymphoblastic Leukemia Treated With Cranial Radiation or High-Dose or Very High-Dose Intravenous Methotrexate

2006 ◽  
Vol 24 (24) ◽  
pp. 3858-3864 ◽  
Author(s):  
Brenda J. Spiegler ◽  
Kimberly Kennedy ◽  
Ronnen Maze ◽  
Mark L. Greenberg ◽  
Sheila Weitzman ◽  
...  
Keyword(s):  
Acute Lymphoblastic Leukemia ◽  
Young Children ◽  
Lymphoblastic Leukemia ◽  
High Dose ◽  
Attention And Memory ◽  
Cranial Radiation ◽  
Neurocognitive Outcomes ◽  
The Impact ◽  
Very High

Purpose Cranial radiation therapy (CRT) is associated with neurocognitive morbidity in survivors of childhood acute lymphoblastic leukemia (ALL). For most patients, CRT has been replaced with intensified systemic and intrathecal chemotherapy, often including methotrexate (MTX). The impact of chemotherapy-only protocols on neurocognitive outcomes is unclear, and the importance of systemic MTX dose has not been established. Patients and Methods Seventy nine of 120 eligible children diagnosed with high-risk ALL between the ages of 1.0 and 4.9 years participated in this retrospective cohort study. All patients were treated on a uniform chemotherapy protocol with one of three modalities of CNS prophylaxis, depending on their treatment era. In addition to intrathecal therapy, CNS-directed therapy consisted of CRT (18 Gy in 10 fractions) in 25 patients, high-dose intravenous (IV) MTX (8 g/m2 × 3 doses) in 32 patients and very high-dose IV MTX (33.6 g/m2 x 3 doses) in 22 patients. Participants completed tests of intelligence, academic achievement, attention, and memory. Results Neurocognitive assessment was conducted at least 5 years after diagnosis (mean, 10.5 years, standard deviation, 2.7 years). No difference was detected on any neurocognitive measure between children treated with high-dose or very high-dose IV MTX. The combined MTX groups scored near the population mean on 17/18 measures. Children treated with CRT performed more poorly than the MTX group on most measures. Conclusion Treatment strategies for young children with ALL that avoid CRT are associated with good long-term neurocognitive outcomes. In this cohort, the dose of IV MTX did not influence these outcomes.

A Matching Approach to Factor Scores Based on Online Sponsored Search Auction

2018 ◽  
Vol 6 (1) ◽  
pp. 11-30 ◽  
Author(s):  
Xiaohui Li ◽  
Hongbin Dong ◽  
Yang Zhou ◽  
Jun He
Keyword(s):  
Search Engine ◽  
Optimal Algorithm ◽  
Budget Constraints ◽  
Factor Scores ◽  
Matching Problem ◽  
Bipartite Matching ◽  
Trade Off ◽  
Click Through Rate ◽  
High Credibility

How does a search engine company decide which advertisements to display for each query to maximize its revenue? This turns out to be a generalization of the online bipartite matching problem. In this paper, search engines decide the strategy to allocate resources with an advertiser credibility factor under budget constraints. Based on the optimal algorithm, which is the notion of a trade-off revealing LP, this paper remains the competitive ratio as 1-1/e with an advertiser credibility factor. During the ranking in the keywords auctions, the authors calculate factor scores. The new arrival keywords should match to the advertisement which has the maximum factor scores. The amount of spent money, budget constraints, CTR (Click Through Rate) and a credibility factor are added to the trade-off function using in the authors' algorithms. In the long term, users tend to use the search engine with high credibility, which will bring greater revenues. The search engine will attract advertisers to bid on keywords and improve their credibility actively.

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