nils-herrmann/clean_scirepeval huggingface dataset:
Predicting the specific heat capacity of alumina/ethylene glycol nanofluids using support vector regression model optimized with Bayesian algorithm
Venue: Solar Energy
Year: 2019

Nanofluids are now considered the most essential constituent of solar thermal collector due to their superior thermal performance over conventional fluids. An accurate determination of the thermal efficiency of the solar collector depends on the value of the specific heat capacity of the nanofluid. So far, limited attention has been devoted towards accurate modelling of specific heat capacity of nanofluids C P nf despite their relevance in many solar energy related applications. Surprisingly, there are only two main analytic models for estimating the C P nf in the literature. In most of the reports, these models have shown considerable inconsistencies for predicting the values of C P nf Moreover, the modelling performance of these models necessitates the need to develop accurate models for the prediction of C P nf Herein, a Bayesian support vector regression (BSVR) model is proposed to estimate the specific heat capacity of Al2O3/ethylene glycol nanofluid. The model proposed was trained on eighty four (84) experimental datasets and its predictive accuracy was validated on seventeen (17) new test set. The BSVR model exhibits high accuracy as measured by the values of Pearson's correlation coefficient and the absolute average relative deviation (AARD) of 99.95% and 0.1888, respectively. Remarkably, the accuracy obtained from the proposed BSVR model is an order of magnitude better than existing theoretical models. The proposed technique and model will be useful towards a more reliable and accurate computation of the efficiency of solar collectors.
PLS SEM path analysis to determine the predictive relevance of e Health readiness assessment model
Year: 2020

There exist a sizable body of research addressing the evaluation of eHealth/health information technology (HIT) readiness using standard readiness model in the domain of Information Systems (IS) However, there is a general lack of reliable indicators used in measuring readiness assessment factors, resulting in limited predictability. The availability of reliable measuring tools could help improve outcomes of readiness assessments. In determining the predictive relevance of developed HIT model we collected quantitative data from clinical and non clinical (administrators) staff at Komfo Anokye Teaching Hospital (KATH) Kumasi Ghana using the traditional in person distribution of paper based survey, popularly known as drop and collect survey (DCS) We then used PLS SEM path analysis to measure the predictive relevance of a block of manifest indicators of the readiness assessment factors. Three important readiness assessment factors are thought to define and predict the structure of the KATH HIT/eHealth readiness survey data (Technology readiness (TR) Operational resource readiness (ORR) and Organizational cultural readiness (OCR) As many public healthcare organizations in Ghana have already gone paperless without any reliable HIT/eHealth guiding policy, there is a critical need for reliable HIT/eHealth regulatory policies readiness (RPR) and some improvement in HIT/eHealth strategic planning readiness (core readiness) The final model (R2 0.558 and Q2 0.378) suggest that TR, ORR, and OCR explained 55.8% of the total amount of variance in HIT/eHealth readiness in the case of KATH and the relevance of the overall paths of the model was predictive. Fit values (SRMR 0.054; d_ULS 6.717; d_G 6.231; Chi2 6,795.276; NFI 0.739) Generally, the GoF for this SEM are encouraging and can substantially be improved.
How does transit oriented development contribute to station area accessibility? A study in Beijing
Venue: International Journal of Sustainable Transportation
Year: 2019

Theoretically, transit oriented development (TOD) can enhance accessibility by providing a relatively high level of transport connections and high density, mixed use, cycling and pedestrian friendly land use around transit stations. Empirically, there is a noted positive relationship between the transport component of TOD and accessibility, but the evidence is more mixed with respect to components other than transport (e.g. high urban density and diversity, or proximity of land uses to the transport node) In order to examine how the specific components of TOD are related to accessibility and the relative importance of each component to enhance accessibility, the paper develops a methodology to explore the relationship between each TOD component and accessibility, and applies it to Beijing, China. First, the paper assesses the accessibility of metro station areas in Beijing. Second, it studies how TOD components are related to accessibility at the one hour travel time catchment level. The results highlight that, in the Beijing context, both a station area's location relative to the city center and the land use pattern (e.g. a relatively lower average residential density; a relatively higher average all job density; a relatively lower average job density in the sector of retail, accommodation, and catering; a relatively higher average job density in the sector of education, health, and culture; and a relatively lower average degree of functional mixes) around all the stations within the targeted station's one hour travel catchment are relatively more important to enhance the area's accessibility than improving the area's transit performance. This outcome provides insights for developing area specific and targeted strategies to enhance the accessibility of a given metro station area in Beijing.
INTERACOES ENTRE QUINOLONAS VERSUS LEITE E DERIVADOS: INEFETIVIDADE TERAPEUTICA
Year: 2019

As quinolonas sao antimicrobianos utilizados em infeccoes de origem bacteriana. A partir de modificacoes feitas na estrutura no acido nalixidico com a adicao do atomo de fluor, surgem as fluorquinolonas, tendo o ciprofloxacino como um dos representantes desta classe. Alguns nutrientes sao capazes de interagir com medicamentos administrados por via oral, podendo alterar os efeitos do farmaco, interferindo em processos farmacocineticos, ocasionando prejuizo terapeutico. A interacao farmaco nutriente pode ocorrer por mecanismo de complexacao, resultando na diminuicao da sua disponibilidade. A pesquisa teve como objetivo revisar na literatura cientifica sobre a interacao das quinolonas com derivados do leite. Realizou se um estudo bibliografico do tipo exploratorio descritivo, utilizando se os bancos de dados SciELO, Google Academico e PubMed. Foram analisados 6 artigos em portugues publicados entre os anos de 2007 e 2017, que foram encontrados empregando se as palavras chave em portugues selecionadas mediante consulta aos Descritores em Ciencias da Saude (DeCS) calcio, interacoes medicamentosas, quinolonas. As quinolonas diminuem seu nivel serico quando administradas junto de alimentos. O ciprofloxacino pode apresentar reducao de 30 a 36% na sua biodisponibilidade quando administrado com leite ou derivados e o norfloxacino reduz sua biodisponibilidade em cerca de 38 a 52% Isso ocorre devido ao fato de derivados do leite apresentarem em sua composicao uma grande quantidade de calcio, que e um agente quelante. A formacao de quelatos com o ion calcio presente nos derivados do leite diminui a absorcao das quinolonas e, consequentemente, a sua biodisponibilidade. As quinolonas sao bastante utilizadas em tratamentos infecciosos, e quando ingerida proximo a alimentos derivados do leite causam interacoes do tipo farmaco nutriente sendo essencial uma orientacao farmaceutica sobre o uso adequado do antimicrobiano previnindo a interacao e consequente falha terapeutica. A abordagem ideal para evitar essa interacao e interromper a utilizacao de leite e seus derivados da alimentacao do paciente quando antimicrobianos da classe de quinolonas forem prescritos, ou que se tenha uma orientacao de consumir esses alimentos com o intervalo de 2h antes ou apos a administracao do medicamento via oral.
Feature Analysis of Smart Shoe Sensors for Classification of Gait Patterns
Venue: Sensors
Year: 2020

Gait analysis is commonly used to detect foot disorders and abnormalities such as supination, pronation, unstable left foot and unstable right foot. Early detection of these abnormalities could help us to correct the walking posture and avoid getting injuries. This paper presents extensive feature analyses on smart shoes sensor data, including pressure sensors, accelerometer and gyroscope signals, to obtain the optimum combination of the sensors for gait classification, which is crucial to implement a power efficient mobile smart shoes system. In addition, we investigated the optimal length of data segmentation based on the gait cycle parameters, reduction of the feature dimensions and feature selection for the classification of the gait patterns. Benchmark tests among several machine learning algorithms were conducted using random forest, k nearest neighbor (KNN) logistic regression and support vector machine (SVM) algorithms for the classification task. Our experiments demonstrated the combination of accelerometer and gyroscope sensor features with SVM achieved the best performance with 89.36% accuracy, 89.76% precision and 88.44% recall. This research suggests a new state of the art gait classification approach, specifically on detecting human gait abnormalities.
Causes of Hass Avocado Fruit Rejection in Preharvest, Harvest, and Packinghouse: Economic Losses and Associated Variables
Year: 2019

The areas planted with avocado in Colombia have increased to position this fruit in international markets. To achieve this goal, the offered fruits need to meet optimal production standards. The aim of this study was to identify the main physiopathologies and damages that may cause the rejection of avocado cv. Hass fruits for export purposes during pre harvest, harvest, and processing in packinghouses, and quantify the economic impact of said exclusion criteria. Typological characterization and quantification of damages that may cause fruit rejection were performed at the laboratory, field, and packinghouses. Data were obtained from 136 Colombian productive plots with monitoring and data collection records for a minimum of five years. At the packinghouse level, data associated with factors that affect quality (both, those identified at packing plants and those detected in simulated shipments) were considered. The main causes of fruit rejection during pre harvest and harvest were: low calibers, damage to the epidermis by insect pests from the subfamily Melolonthidae, thrips, mites, the bug Monalonion, overripe fruits, and sunburn damage. In addition, pathologies such as anthracnose and stem end rot, and problems associated with browning of vascular bundles, irregular ripening, chilling injury, and lenticel damage were highly limiting at packinghouses. The economic analysis identified losses of 5.78 and 5.68% in farms and packinghouses, respectively, which are equivalent to US dollar (USD) 80.29 per produced ton. This work generated information that allows prioritizing strategies to improve fruit quality and reduce economic impact.
A hybrid self aligned MIS MESFET architecture for improved diamond based transistors
Year: 2020

Diamond is a promising electronic semiconductor candidate that has recently attracted intense interest in the implementation of its superior physical properties in electronic devices. In particular, attention has been focused on the surface transfer doping of diamond, in which the hydrogen terminated diamond (diamond:H) benefices of a unique conductive two dimensional hole gas (2DHG) layer at the diamond's sub surface upon coverage with a suitable surface acceptor. Several diamond:H transistors have been developed. However, their inherent architecture dependence on the diamond:H conductive surface sensitivity to harsh processing environments has been a major barrier to the realization of high performance devices. Here, we report on a diamond:H transistor structure that incorporates a mutual diamond:H active channel into the hybrid model of a metal semiconductor field effect transistor (MESFET) and a self aligned metal insulator semiconductor FET (MISFET) with a common gate connection. The resulting diamond:H hybrid transistor exhibits a beneficial symbiosis that includes the advantages of both the MISFET (a high ON current of 0.8 mA/mm and a low OFF current of ~10 9 mA/mm) and MESFET (almost an ideal subthreshold swing of 67 mV/dec) performance operations in the same multilayered device.
SAD: An Unsupervised System for Subsequence Anomaly Detection
Venue: 2020 IEEE 36th International Conference on Data Engineering (ICDE)
Year: 2020

Subsequence anomaly (or outlier) detection in long sequences is an important problem with applications in a wide range of domains. However, current approaches have severe limitations: they either require prior domain knowledge, or become cumbersome and expensive to use in situations with recurrent anomalies of the same type. We recently proposed NorM, a novel approach suitable for domain agnostic anomaly detection, which addresses the aforementioned problems by detecting anomalies based on their (dis)similarity to a model that represents normal behavior. The experimental results on several real datasets demonstrate that the proposed approach outperforms the current state of the art in terms of both accuracy and execution time. In this demonstration, we present a system for unsupervised Subsequence Anomaly Detection (SAD) that uses the NorM method. Through various scenarios with real datasets, we showcase the challenges of the problem, and we demonstrate the advantages of the proposed system.
Integrated utilization of recycled crumb rubber and polyethylene for enhancing the performance of modified bitumen
Year: 2018

With the development of urbanization, a huge amount of wasted vehicle tyre and wasted green house plastic film are generated everyday and they have a potential risk for human health and environment. In this article, an integrated modification method was developed by proportionally using recycled crumb rubber (CR) from vehicle tyre and polyethylene (PE) from wasted green house plastic film in the bitumen in order to modify its functioning in pavements. Experimental tests such as Softening point, Penetration, Dynamic Shear Rheometer (DSR) Multiple Stress Creep Recovery (MSCR) and Bending Beam Rheometer (BBR) were carried out in comparison with the bitumen properties. Analysis on physical and rheological performance of modified bitumen binders indicated the addition of CR decreased the bitumen creep stiffness at low temperature which in turn reduced the brittleness and cracking risk. Meanwhile, the addition of PE increased the bitumen stiffness at high temperature. According to the morphology analysis, two continuous twisted phases were formed in the modified bitumen, which indicated enhanced rheological property and high temperature performance. The addition of CR and PE cooperatively improved the bitumen properties at both high and low temperatures. Consequently, the utilization of these two waste materials not only improved the pavement performance with the modified bitumen, but also minimized their disposal at landfills.
A novel correlative approach for ionic liquid thermal conductivities
Year: 2017

In this study, a new simple, general, accurate and easy to use correlation has been developed for estimating the thermal conductivities of pure ionic liquids (ILs) over a wide range of temperatures at atmospheric pressure. In addition to the abilities mentioned, a further goal of this work was to develop a thermal conductivity correlation which does not require, as input parameters, any other physical properties, once a single thermal conductivity data point is available. This can be a valuable advantage, especially in the field of ILs for which many physical properties are unavailable. The new correlation has been proposed based on 378 thermal conductivity temperature data points from 44 different IL types. The proposed correlation, in comparison to two well known and commonly used group contribution models and one literature correlation, shows much higher accuracy with respect to experimental values. Calculations covering all of the investigated ILs in this work resulted in AARD% values of 1.0% for the proposed model. It is also more widely applicable, as indeed, it can estimate IL thermal conductivities with a very simple formula and without the need for other physical properties, even molecular weight and molecular structure.
The Role of Inventory Management on Financial Performance in Some Selected Manufacturing Companies in Mogadishu
Year: 2019

In this study, the research team studied the role of inventory management on the financial performance in some selected manufacturing companies in Mogadishu with the major objective of the study is to determine the inventory management practices used in manufacturing firms and to investigate the relationship between inventory management and financial performance in manufacturing firms. The research team selected 72 respondents with the use of questionnaire as instrument and data was analyzed using both descriptive and correlation statistics of mean and frequency (percentage) for SPSS. After gathering and analyzing data, the study found that there is significant positive relationship between the inventory management and financial performance where r=0.683.
Evaluation of Performance Indicators for Sustainable Low carbon among ISO 14001&ISO 50001 Dealers of Honda Automobile in Thailand
Year: 2018

There is growth of economic activities in the manufacturing sector and the service sector that has an impact of environmental deterioration as well effect of the quality of life of citizens in Thailand. The operator should have responsibility to control the process, track and resolve potential hazards systematically (ISO Certification, 2010) centre of vehicles with energy and environmental management standards ISO 14001 and ISO 50001 standards assist in the management of existing resources sparingly. The operators has to focus on energy and resource using efficient management systems with stability to handle more power. This research aims to evaluate the performance indicators of the factors that affect energy, efficiency and environmental management standards ISO 14001 and ISO 50001 and compliance of the Automobile dealers. The stratified samples of among 63 branches under the Center of Honda Automobile Co. Ltd. with an environmental management system ISO 14001 and ISO 50001 have been focused as the area of study. The research tool consists of four areas of electricity, water, waste and greenhouse gasses have been studied using ANOVA one way and two way. The results showed that the amount of electricity, water, solid hazardous waste, liquid hazardous waste, general waste and a amount of greenhouse gasses in 2012, auctioned during 2013 and 2014.
Optimal Tuning of Fractional Order PID Controller for DC Motor Speed Control via Chaotic Atom Search Optimization Algorithm
Venue: IEEE Access
Year: 2019

In this paper, atom search optimization (ASO) algorithm and a novel chaotic version of it [chaotic ASO (ChASO) are proposed to determine the optimal parameters of the fractional order proportional+integral+derivative (FOPID) controller for dc motor speed control. The ASO algorithm is simple and easy to implement, which mathematically models and mimics the atomic motion model in nature, and is developed to address a diverse set of optimization problems. The proposed ChASO algorithm, on the other hand, is based on logistic map chaotic sequences, which makes the original algorithm be able to escape from local minima stagnation and improve its convergence rate and resulting precision. First, the proposed ChASO algorithm is applied to six unimodal and multimodal benchmark optimization problems and the results are compared with other algorithms. Second, the proposed ChASO FOPID, ASO FOPID, and ASO PID controllers are compared with GWO FOPID, GWO PID, IWO PID, and SFS PID controllers using the integral of time multiplied absolute error (ITAE) objective function for a fair comparison. Comparisons were also made for the integral of time multiplied squared error (ITSE) and Zwe Lee Gaing's (ZLG) objective function as the most commonly used objective functions in the literature. Transient response analysis, frequency response (Bode) analysis, and robustness analysis were all carried out. The simulation results are promising and validate the effectiveness of the proposed approaches. The numerical simulations of the proposed ChASO FOPID and ASO FOPID controllers for the dc motor speed control system demonstrated the superior performance of both the chaotic ASO and the original ASO, respectively.
Combination of Recursive and Recurrent Neural Networks for Aspect Based Sentiment Analysis Using Inter Aspect Relations
Venue: IEEE Access
Year: 2020

Sentiment analysis studies in the literature mostly use either recurrent or recursive neural network models. Recurrent models capture the effect of time and propagate the information of sentiment labels in a review throughout the word sequence. Recursive models, on the other hand, extract syntactic structures from the texts and leverage the sentiment information during training. There are only a few studies that incorporate both of these models into a single neural network for the sentiment classification task. In this paper, we propose a novel neural network framework that combines recurrent and recursive neural models for aspect based sentiment analysis. By using constituency and dependency parsers, we first divide each review into subreviews that include the sentiment information relevant to the corresponding aspect terms. After generating and training the recursive neural trees built from the parses of the subreviews, we feed their output into the recurrent model. We evaluated our ensemble approach on two datasets in English of different genres. We achieved state of the art results and outperformed the baseline study by a significant margin for both domains.
The impact of Creativity, Action, Service (CAS) on students and communities
Year: 2017

This report summarises the findings of an International Baccalaureate funded study which explored the impact on 16 19 year old students, and their communities, of one part of the International Baccalaureate Diploma Programme: the experience based learning component 'Creativity, Activity, Service' (CAS) Involving almost 10,000 students, staff and alumni from schools in two of the three IB world regions Asia Pacific and Africa, Europe and the Middle East our findings show that CAS outcomes are perceived to extend beyond those specified in curriculum documentation, adding impact to individual students through skills development, personal development and individual well being. Impact on communities was less clear but there is scope for the Service element of CAS to make a particular impact on both students and communities when schools adopt values inherent in the CAS programme.