nils-herrmann/clean_scirepeval huggingface dataset:
Service quality, brand image and price fairness impact on the customer satisfaction and loyalty
Venue: 2011 IEEE International Conference on Industrial Engineering and Engineering Management
Year: 2011

As the times progress and the enhancement of the public educational level, life insurance has been paid much attention day by day. Especially, medical insurance plays an important role in all sorts of life insurance. Medical insurance is the invisible merchandise. While customers buy the invisible products, they usually place an importance on invisible factors. The study problem into the direct impact on service quality, brand image and price fairness; This research anticipates after applying structural equation modeling (SEM) while customers buying the medical insurance; service quality and brand image has direct and positive impact on the customer satisfaction, service quality and brand image has no direct and positive impact on the customer loyalty. But service quality and brand image has direct and positive impact on the customer loyalty through customer satisfaction. After analysis, customer satisfaction has a direct and positive effect on customer loyalty. Finally, after measure of price fairness, whether it is a direct impact on customer satisfaction, customer loyalty, or indirectly affect customer loyalty through customer satisfaction, all have no significant impact.
The Hubble Sequence at z 0 in the IllustrisTNG simulation with deep learning
Venue: Monthly Notices of the Royal Astronomical Society
Year: 2019

We analyse the optical morphologies of galaxies in the IllustrisTNG simulation at z 0 with a convolutional neural network trained on visual morphologies in the Sloan Digital Sky Survey. We generate mock SDSS images of a mass complete sample of \sim 12\ 000$ galaxies in the simulation using the radiative transfer code SKIRT and include PSF and noise to match the SDSS r band properties. The images are then processed through the exact same neural network used to estimate SDSS morphologies to classify simulated galaxies in four morphological classes (E, S0/a, Sab, Scd) The CNN model classifies simulated galaxies in one of the four main classes with the same uncertainty as for observed galaxies. The mass size relations of the simulated galaxies divided by morphological type also reproduce well the slope and the normalization of observed relations which confirms a reasonable diversity of optical morphologies in the TNG suite. However we find a weak correlation between optical morphology and Sersic index in the TNG suite as opposed to SDSS which might require further investigation. The stellar mass functions (SMFs) decomposed into different morphologies still show some discrepancies with observations especially at the high mass end. We find an overabundance of late type galaxies \sim 50{ \rm per\ cent} versus \sim 20{ \rm per\ cent} at the high mass end [log(M*/M) 11] of the SMF as compared to observations according to the CNN classifications and a lack of S0 galaxies \sim 20{ \rm per\ cent} versus \sim 40{ \rm per\ cent} at intermediate masses. This work highlights the importance of detailed comparisons between observations and simulations in comparable conditions.
Drugs with SMILES Similar to Coxibs
Venue: 2019 IEEE 19th International Conference on Bioinformatics and Bioengineering (BIBE)
Year: 2019

Coxibs are a group of drugs with selective inhibition against cyclooxygenase 2 (COX 2) enzymes with increased interest from scientific community due to their side effects and potential other pharmacological mechanisms. The aim of this work is to utilize the chemical characteristics of coxibs in order to identify compounds with similar chemical structure. The approach is based on the assessment of the Simplified Molecular Input Line Entry System (SMILES) as adequate molecular structure representations for the identification of drug similarities. The similarity measurements are based on molecular fingerprints that were extracted from coxibs and the Maximum Consecutive Subsequence (MCS) algorithm. An ensemble of methods based on majority voting, weighting and equal weighting on the algorithms was further applied. Majority voting returned 200 similar compounds whereas weighting and equal weighting returned 53 and 27 compounds respectively. Interestingly, despite the independence of the methods, all three identified 20 common compounds. The identification of drugs with potential chemical similarity with coxibs, as revealed from similarity measurements of fingerprints and MCS scores could provide new insights for potential biological targets for coxibs or drugs that could interact with COX 2 or other biological targets of coxibs.
THE EAST KALIMANTAN EXPENDITURE BUDGET AND ITS IMPACT ON HUMAN DEVELOPMENT INDEX
Year: 2011

The radical changes regard to the policy of decentralisation has been implemented in Indonesia since the 1 st of January 2001. By designing this policy, Indonesia was to change the formulation of economic resources movement between the Central and provincial governments in Indonesia. This project aims to explore the relationships between the Central and provincial governments in Indonesia, specifically in the economic interchange field. In particular, the thesis focuses on how the flow of funds between the Central government and East Kalimantan provincial government occurs and how the flow of funds in terms of a provincial budget from the Central Government to East Kalimantan province takes place and in what way the East Kalimantan province"s provincial budget and decentralisation policy impacted on the province"s economic growth and human development. Based on the premise that fiscal decentralisation formulation and its implementation were designed to improve the province"s Human Development Index (HDI) of the East Kalimantan provinces. The HDI was found to have a significantly increasing trend during 1990 2007, but there is no significant structural break in HDI due to decentralisation. The teacher/student ratio does not have a significant trend but has a significant positive structural break due to decentralisation suggesting that the values of this variable are, on average, higher during the decentralisation era than in centralisation era. Doctors per 1000 of population have a significantly decreasing trend with no significant structural break due to decentralisation. The HDI (human development index) regression estimated using data for the period 1990 2007 found that the budget real expenditures during both the centralisation period and during the decentralisation period have had a significant and positive impact on East Kalimantan province"s human development index (HDI) However, the magnitude of the impact of budget real expenditure on East Kalimantan"s HDI during both the decentralisation period and the centralisation period are similar. The estimated elasticity of HDI with respect to budget real expenditure during both the centralisation period and the decentralisation period is 0.013, implying that an increase of 1 per cent in budget real expenditure, ceteris paribus, results in a 0.013 per cent increase in HDI. There is a need for the design and implementation of appropriate policies and programs to enhance government expenditure, domestic and foreign investment, employment and work opportunities, and exports of East Kalimantan province so that the province"s GDP can be increased faster and at higher rates. There is also a need to improve doctor/population ratio and health facilities of East Kalimantan. This, together with enhanced life expectancy, educational facilities, literacy, and GDP growth will improve the human development index (HDI) of East Kalimantan province.
Insurance Development and Economic Growth
Year: 2018

This study aims to investigate the effect of continent and initial GDP per capita level of a country on the relationship between insurance activities and economic growth. This study considers panel data consists of 123 countries from 1967 to 2014. Both static panel model and dynamic panel model are used to evaluate the effect of both continent and initial GDP per capita level of a country to the economic growth. The findings show significant causal relationship between insurance development and economic growth. However, the relationship is varied in different countries due to different initial income levels and locations. The effect of insurance development on economic growth of a country is indirect because it depends on the performance of the investment of insurers. Therefore, policymakers should consider their own country's special characteristics when formulating a policy. Policymakers should clearly understand the nature of their insurance sector such as interconnectedness between financial sector and insurance sector, whether to promote insurance sector to grow their economy. By understanding the effect of continent and the initial GDP per capita level, policymakers could formulate and implement more effective policies on their country's insurance sector to ensure the prosperity of the country's economic growth.
Development of artificial consortia of microalgae and bacteria for efficient biodegradation and detoxification of lindane
Year: 2020

Bacterial, algal and bacto algal cultures were set up with 50 ppm lindane to study the degradation and detoxification potency of the strains. Several intermediate metabolites like pentachlorocyclohexenes, tetrachlorocyclohexenes, trichlorocyclohexane, dichlorocyclohexane, aliphatic chlorinated compounds, phenols were detected using GC MS. It was observed that after 120 h, lindane was efficiently degraded after treatment with bacteria algal culture. To assess the detoxification extent in different modes of lindane degradation, methyl tetrazolium (MTT) assay for cytotoxicity and 7 ethoxyresorufin O deethylase (EROD) assay for xenobiotics were determined using human hepato carcinoma cell line HepG2. After 168 h treatment by bacto algal co culture, LC50 was increased by 1.89 folds and 3.1 fold decrease in EROD induction confirmed the reduction in toxicity. Integrated toxico chemical analysis clearly indicated that the artificial bacterial and algal consortia could be considered as a prospective approach for degradation and detoxification of environments contaminated with lindane and other organochlorinated pesticides.
Advancing Regulatory Science With Computational Modeling for Medical Devices at the FDA's Office of Science and Engineering Laboratories
Venue: Front. Med.
Year: 2018

Protecting and promoting public health is the mission of the U.S. Food and Drug Administration (FDA) FDA's Center for Devices and Radiological Health (CDRH) which regulates medical devices marketed in the U.S. envisions itself as the world's leader in medical device innovation and regulatory science the development of new methods, standards, and approaches to assess the safety, efficacy, quality, and performance of medical devices. Traditionally, bench testing, animal studies, and clinical trials have been the main sources of evidence for getting medical devices on the market in the U.S. In recent years, however, computational modeling has become an increasingly powerful tool for evaluating medical devices, complementing bench, animal and clinical methods. Moreover, computational modeling methods are increasingly being used within software platforms, serving as clinical decision support tools, and are being embedded in medical devices. Because of its reach and huge potential, computational modeling has been identified as a priority by CDRH, and indeed by FDA's leadership. Therefore, the Office of Science and Engineering Laboratories (OSEL) the research arm of CDRH has committed significant resources to transforming computational modeling from a valuable scientific tool to a valuable regulatory tool, and developing mechanisms to rely more on digital evidence in place of other evidence. This article introduces the role of computational modeling for medical devices, describes OSEL's ongoing research, and overviews how evidence from computational modeling (i.e. digital evidence) has been used in regulatory submissions by industry to CDRH in recent years. It concludes by discussing the potential future role for computational modeling and digital evidence in medical devices.
brrsy khrayy rwshhy mkhtlf khntrl abshstgy dr plhy rwdkhnhy b stfdh z rwsh `ddy
Year: 2017

hmh slh plhy zydy dr zmn wqw` sylbhy rwdkhnhy w br thr abshstgy mwD`y pyhh w khwlhh tkhryb myshwnd. tkhnwn rwshhy mt`ddy bry khhsh w khntrl `mq abshstgy pyshnhd w bhkhr grfth shdh st khh z an jmlh mytwn bh stfdh z sngchyn, Twq, skht ryzshm`h dr jlwy pyh, yjd shkhf dr pyh, stfdh z khbl, SfHt mstGrq w SlH shkhl pyh shrh khrd. dr yn tHqyq b stfdh z mdl `ddy sh b`dy FLOW 3D mqdr abshstgy mwD`y dr thr brkhwrd jryn sylb b ykh stwn grd dr shryT ab zll w bstr mshy ykhnwkht w bry rwshhy mkhtlf khntrl w khhsh an mHsbh shdh st. jryn Hwy rswb bh Swrt jryn dw fzy ab msh dr nZr grfth shdh w bry tkhmyn prmtrhy ashftgy jryn mdl RNG mwrdstfdh qrr grfth st. rzyby w SHt snjy mdl `ddy nyz b mqysh ntyj mHsbty b ddhhy azmyshghy njm shdh st. dr dmh mqdyr abshstgy mwD`y dr jlw w psht pyh dr yzdh Hlt mkhtlf pyshnhdy khntrl abshstgy b py@ tnh mqysh shdh st. Hlt stfdh z sngchyn b abshstgy m`dl 13 drSd py@ tnh, khmtryn abshstgy w Hlt stfdh z tkh shm` bqTr nSf pyh dr bldst b abshstgy m`dl 26 drSd py@ tnh, byshtryn abshstgy r dshth st.
COLLABORATIVE FILTERING RECOMMENDATION SYSTEM: A FRAMEWORK IN MASSIVE OPEN ONLINE COURSES
Year: 2015

Massive open online courses (MOOCs) are growing relatively rapidly in the education environment. There is a need for MOOCs to move away from its one size fit all mode. This framework will introduce an algorithm based recommendation system, which will use a collaborative filtering method (CFM) Collaborative filtering method (CFM) is the process of evaluating several items through the rating choices of the participants. Recommendation system is widely becoming popular in online study activities; we want to investigate its support to learning and encouragement to more effective participation. This research will be reviewing existing literature on recommender systems for online learning and its support to learners' experiences. Our proposed recommendation system will be based on course components rating. The idea was for learners to rate the course and components they have studied in the platform between the scales of 1 5. After the rating, we then extract the values into a comma separated values (CSV) file then implement recommendation using Python programming based on learners with similar rating patterns. The aim was to recommend courses to different users in a text editor mode using Python programming. Collaborative filtering will act upon similar rating patterns to recommend courses to different learners, so as to enhance their learning experience and enthusiasm.
Incremental decreases in quality adjusted life years (QALY) associated with higher levels of depressive symptoms for U.S. Adults aged 65 years and older
Venue: Health and Quality of Life Outcomes
Year: 2017

BackgroundQuality adjusted life years (QALY) is a single value index that quantifies the overall burden of disease. It reflects all aspects of heath, including nonfatal illness and mortality outcomes by weighting life years lived with health related quality of life (HRQOL) scores. This study examine the burden of disease due to increasing levels of depressive symptoms by examining the association between the 9 item Patient Health Questionnaire (PHQ 9) scores and QALY for U.S. adults aged 65 years and older.MethodsWe ascertained respondents' HRQOL scores and mortality status from the 2005 2006, 2007 2008, and 2009 2010 cohorts of the National Health and Nutrition Examination Survey (NHANES) with mortality follow up data through December 31, 2011. This analysis included respondents aged 65 years and older (n 3,680) We estimated the mean QALY throughout the remaining lifetime according to participants' depression severity categories: none or minimal (PHQ 9 score 0 4) mild (5 9) moderate (10 14) and moderately severs and severe (15 or higher) We estimated QALY loss due to major depressive disorder (PHQ 9 score 10 or higher) and to mild depression (5 9).ResultsThe QALY for persons with none/minimal, mild, moderate, and moderately severe/severe depression were 14.0, 7.8, 4.7, and 3.3 years, respectively. Compared to persons without major depressive disorder, persons with major depressive disorder had 8.3 fewer QALY (12.7 vs. 4.4) or a 65% loss. Compared to persons who reported "none" or minimal depressive symptoms, persons who reported mild depressive symptoms had 6.2 fewer QALY (14.0 vs. 7.8) or a 44% loss. The same patterns were noted in demographic and socioeconomic subgroups and according to number of comorbidities.ConclusionsThis study not only confirmed the significant burden of disease for major depressive disorder among the U.S. elderly, but also showed an incremental decrease in QALY with an increasing severity of depressive symptoms as well as significant QALY loss due to mild depression. Specifically, individuals with higher (or more impaired) PHQ 9 scores had significantly fewer QALYs and our findings of fewer years of QALY for persons with major depressive disorder and mild depression were not only statistically significant but also clinically important.
Understanding the impact of mental health placements on student nurses' attitudes towards mental illness.
Venue: Nurse education in practice
Year: 2019

Student nurses maintain unfavorable views of people with mental health issues. Many continue to perpetuate common stereotypes, are fearful and believe people with mental health problems are in some way dangerous. The impact of placements greatly affects these views. A pre post survey of 85 student nurses was conducted to establish the opinions and attitudes of student nurses regarding mental health. Groups were allocated to either community or hospital placements. Each group received the same educational preparation prior to placement. Both community and hospital placed students had improved clinical confidence when working with people experiencing mental health problems. Community placed students demonstrated greater positive attitudes towards people experiencing mental health issues across a number of domains. Students in hospital settings demonstrated more confidence when working with people with mental health issues yet had less attitudinal change about mental health. The approach taken by clinical facilitators also influenced student attitudes. It is suggested that offering community opportunities along with exposure to positive instructor beliefs about mental illness will both improve student attitudes prior to the completion of their nursing studies and may encourage entry into mental health as a nursing option post education.
What we talk about when we talk about shrinking cities: The ambiguity of discourse and policy response in the United States
Year: 2017

Although United States cities began to shrink in large numbers as early as the 1950s, the shrinking city discourse was obscured by the overriding "urban crisis" narrative, and did not emerge until much later, in the late the 1990s and 2000s. Rather than trigger national policy change, however, the discourse became the starting point for local action, epitomized in the efforts to address widespread housing abandonment through land banks and greening strategies, spearheaded by an informal alliance of local officials and both local and national sources of expertise, largely outside academia. At the same time, the term 'shrinking city' was widely seen as problematic outside scholarly circles, and a major element of the discourse was the ongoing search for acceptable terminology to refer to the class of shrinking cities. In the final analysis, however, the association of growth with success and shrinkage with failure in the urban lexicon remains largely unchallenged.
Effect of date of sowing and plant density on the progress of powdery mildew of pea
Year: 2014

Powdery mildew (Erysiphe pisi DC ex Saint Amans) of pea (Pisum sativum L. incited by fungus is an important limiting factor in its cultivation in mid hills of Himachal Pradesh. The field experiments were conducted during the winter season of 2004 05 to elucidate the effect of different sowing dates and planting densities on disease and yield of garden pea. The mid October sown crop despite of having maximum disease severity resulted in minimum apparent infection rate and highest yield of green pods, however, late november sown crop escaped the disease to a considerable extent but it also gave minimum green pod yield. Treatments having plant to plant spacing of 22.5 cm with row to row spacing of 60, 45 and 30 cm resulted in minimum mean disease severity and apparent infection rate, however, there was no significant difference in the pod yield per plot in different plant densities.
BASS Net: Band Adaptive Spectral Spatial Feature Learning Neural Network for Hyperspectral Image Classification
Venue: IEEE Transactions on Geoscience and Remote Sensing
Year: 2017

Deep learning based land cover classification algorithms have recently been proposed in the literature. In hyperspectral images (HSIs) they face the challenges of large dimensionality, spatial variability of spectral signatures, and scarcity of labeled data. In this paper, we propose an end to end deep learning architecture that extracts band specific spectral spatial features and performs land cover classification. The architecture has fewer independent connection weights and thus requires fewer training samples. The method is found to outperform the highest reported accuracies on popular HSI data sets.
Pre eclampsia and risk of cardiovascular disease and cancer in later life: systematic review and meta analysis
Venue: BMJ British Medical Journal
Year: 2007

To quantify the risk of future cardiovascular diseases, cancer, and mortality after pre eclampsia. Design Systematic review and meta analysis.  Embase and Medline without language restrictions, including papers published between 1960 and December 2006, and hand searching of reference lists of relevant articles and reviews for additional reports.  Prospective and retrospective cohort studies were included, providing a dataset of 3 488 160 women, with 198 252 affected by pre eclampsia (exposure group) and 29 495 episodes of cardiovascular disease and cancer (study outcomes)  After pre eclampsia women have an increased risk of vascular disease. The relative risks (95% confidence intervals) for hypertension were 3.70 (2.70 to 5.05) after 14.1 years weighted mean follow up, for ischaemic heart disease 2.16 (1.86 to 2.52) after 11.7 years, for stroke 1.81 (1.45 to 2.27) after 10.4 years, and for venous thromboembolism 1.79 (1.37 to 2.33) after 4.7 years. No increase in risk of any cancer was found (0.96, 0.73 to 1.27) including breast cancer (1.04, 0.78 to 1.39) 17 years after pre eclampsia. Overall mortality after pre eclampsia was increased: 1.49 (1.05 to 2.14) after 14.5 years.  A history of pre eclampsia should be considered when evaluating risk of cardiovascular disease in women. This association might reflect a common cause for pre eclampsia and cardiovascular disease, or an effect of pre eclampsia on disease development, or both. No association was found between pre eclampsia and future cancer.