nils-herrmann/clean_scirepeval huggingface dataset:
Rapid Detection and Classification of Bacterial Contamination Using Grid Computing
Venue: 2007 IEEE 7th International Symposium on BioInformatics and BioEngineering
Year: 2007

Bacterial contamination of food products is a serious public health problem that creates high costs for the food processing industry. Rapid detection of bacterial pathogens is the key to avoiding disease outbreaks and costly product recalls associated with food borne pathogens. Automated identification of pathogens using scatter patterns of bacterial colonies is a promising technique that uses image processing and machine learning approaches to extract features from forward scatter patterns produced by irradiating bacterial colonies with red laser light. The feature vector used for this approach can consist of hundreds of features, and a sufficiently large number of training images is required for accurate classification. As most feature extraction algorithms have high computational cost, the feature extraction step becomes the bottleneck in the whole processing pipeline. Computational grid technologies provide a promising and economical solution to this problem. In this work we report the implementation of the laser scatter analysis technique on a computational grid. A set of more than 2000 images was used for training of classifiers. The invariant form of Zernike moments up to order 20, radial Chebyshev moments, and Haralick features were extracted. Linear discriminant analysis and support vector machine classifiers were used for classification. We report speed ups achieved and the scalability of this approach for large sets of images and for higher order moments. Laser scatter analysis technique combined with computational grid technology offers a feasible and economic solution for rapid and accurate detection and classification of bacterial contamination.
Has the VIX index been manipulated?
Year: 2019

Recently, an influential academic study and many lawsuits have claimed that the VIX index has been manipulated since 2008. In this paper, we construct a regression model with explanatory variables that are exogenous to the index and examine the model prediction errors. We find that the movements in the daily levels of the VIX index are explained by market fundamentals and not by manipulation. We also specifically examine the VIX futures expiration days and demonstrate that the VIX closing values and VIX futures settlements prices on those days are consistent normal market forces and are not artificial.
Six Principles for Successful Data Driven Service Innovation in Industrial Companies
Venue: 2018 IEEE International Conference on Engineering, Technology and Innovation (ICE/ITMC)
Year: 2018

Data driven services play an important role in innovative business models of successful manufacturing companies: They hold great potential for the creation of unique selling points and improve the differentiation of manufacturing companies in highly competitive markets. However, the large number of newly invented digital services that fail shortly after launching implies that companies struggle with the invention and implementation of data driven service solutions, which ends in a waste of resources. The following paper introduces guideline principles for successful innovation processes for data driven services. The principles were identified during in depth case studies with manufacturing companies. They contribute to a necessary paradigm change for manufacturing companies in terms of data driven services for machines. The six identified principles emphasize new aspects regarding the new dimension of data driven solutions and improve the life cycle management of products and services. They demonstrate how the rules of agile development can lead to successful and more efficient service innovations in the industrial sector.
Protective effects of exopolysaccharide of a medicinal fungus on probiotic bacteria during cold storage and simulated gastrointestinal conditions.
Venue: International journal of biological macromolecules
Year: 2019

The efficacy of probiotic health products depends on the capability of the constituent probiotic bacteria to survive through long period of cold storage and the gastrointestinal tract. This study was to evaluate the protective effects of a high molecular weight (MW) exopolysaccharide (EPS) from a medicinal fungus Cs HK1 on three different bifidobacteria. The EPS had a total dietary fiber content about 70% (w/w) which was close to its total carbohydrate content. It was resistant to artificial gastric acid (pH 2) with no more than 4% (w/w) hydrolysis in 6 h. EPS at 5 g/L significantly increased the survival rate of the probiotic bacteria during cold storage (4 degC) and in simulated gastric acid, reducing the death rate of different bacterial strains by 50% to 70% The protective effect of EPS was weaker when the concentration was decreased to 3 g/L or when the MW of EPS was reduced by partial degradation with power ultrasound. EPS also showed significantly protective effect on the all bacterial strains in bile juice. The results have demonstrated the potential value of Cs HK1 EPS as a novel prebiotic fiber for the formulation of synbiotic products with probiotic bacteria.
Network embeddedness and inbound open innovation practice: The moderating role of technology cluster
Venue: Technological Forecasting and Social Change
Year: 2019

Inbound open innovation has become a prevalent innovation strategy used to strengthen firms' technology competitiveness in the fast changing industrial and technological environment. The effective governance of firms' ego centered innovation networks to facilitate and accelerate inbound open innovation practice is the main concern of scholars and firm leaders. In this paper, we elucidate the impact of network embeddedness on inbound open innovation practice by considering technology cluster an important moderator. We conduct a patent citation network analysis and a hierarchical regression analysis to empirically study the patent citation data of four emerging high tech industries according to the stages of their industrial technology development. Our results show that during the initial and growth stages of industrial technology development, the centrality and network reach of a firm's network embeddedness exert a positive impact on the inbound open innovation practice. This relationship is positively moderated by clustering and the bridging ties of the technology cluster in which the firm is involved. During the stable stage, only the network reach improves firms' inbound open innovation practice, while centrality becomes a hazard. Furthermore, clustering decreases the negative effect of centrality and enhances the positive effect of network reach. Bridging ties show no moderating effect. Our findings deepen the understanding of scholars and practitioners regarding how inbound open innovation practice varies in different innovation network settings at both the firm and cluster levels.
Proposing a model for assessing green hotels based on ecological indicators
Year: 2020

The hospitality industry has undergone significant developments as new modes of environment friendly tourism and hotels have emerged (including ecotourism, eco hotels, ecolodges, and green hotels) These new features, however, have not been specifically investigated, especially in a considerably potential tourist destination like Iran. This study sought to develop a model for identifying and prioritizing the indicators that could determine the ecological features of hotels. Following a systematic review, exploratory factor analysis and analytic network process were used to construct a hybrid model and its elements were then prioritized in five star hotels in the Fars province, Iran. The model consisted of five dimensions (totally including 19 indicators) namely "energy," "ecological adaptation," "materials and equipment," "foods and drinks," and "cultural economic activities." The findings revealed that the "energy" dimension was significantly important, while indicators such as "effective use of water," "supply and efficient use of energy," and "use of renewable energies" were the most important indicators, respectively. The results of this study can encourage managers/practitioners in hotel accommodation to concentrate on the indicators that could promote the ecological level of hotels. In doing so, they can consider energy, foods, and beverage indicators in developing green hotels and implement appropriate accommodation with ecotourism standards to attract (inter)national tourists.
El tatuaje y la perforacion en la construccion de la corporeidad
Year: 2013

Tattooing and body piercing are a reflection of the human need to decorate their body. Young people create significant senses that create other identities. The target of this research is to reveal the meaning of the tattooed skin to understand this social phenomenon. We understand these practices as a network of meanings, expressed in attitudes and feelings, which is crossed by the gender, the experience of pleasure VS pain and resistance to the dominant aesthetic. We have selected a sample of six men and six women of all clients served in 2009 on a tattoo and piercing Clinic to conduct in depth interviews. There is a difference between feminine and masculine, both in design and corporal areas such as the decision leading to tattooing or piercing, and attributed meaning. Women choose these body practices with an aim of playing and seduction, they feel under the gaze of society, like men, but men do not feel as strongly beauty standards than women. Customers feel discrimination in the family and work, and they explain that tattoos and piercings are not valued as an artistic element in society.
Can social media be a tool for reducing consumers' food waste? A behaviour change experiment by a UK retailer
Year: 2017

This paper reports on a landmark study to field test the influence of a large retailer to change the behaviour of its millions of customers. Previous studies have suggested that social media interaction can influence behaviour. This study implemented three interventions with messages to encourage reductions in food waste. The first was a social influence intervention that used the retailer's Facebook pages to encourage its customers to interact. Two additional information interventions were used as a comparison through the retailer's print/digital magazine and e newsletter. Three national surveys tracked customers' self reported food waste one month before as well as two weeks after and five months after the interventions. The control group included those who said they had not seen any of the interventions. The results were surprising and significant in that the social media and e newsletter interventions as well as the control group all showed significant reductions in self reported food waste by customers over the study period. Hence in this field study, social media does not seem to replicate enough of the effect of 'face to face' interaction shown in previous studies to change behaviour above other factors in the shopping setting. This may indicate that results from laboratory based studies may over emphasise the effect of social media interventions.
Post traumatic stress disorder following disasters: a systematic review
Venue: Psychological Medicine
Year: 2007

Disasters are traumatic events that may result in a wide range of mental and physical health consequences. Post traumatic stress disorder (PTSD) is probably the most commonly studied post disaster psychiatric disorder. This review aimed to systematically assess the evidence about PTSD following exposure to disasters.  A systematic search was performed. Eligible studies for this review included reports based on the DSM criteria of PTSD symptoms. The time frame for inclusion of reports in this review is from 1980 (when PTSD was first introduced in DSM III) and February 2007 when the literature search for this examination was terminated.  We identified 284 reports of PTSD following disasters published in peer reviewed journals since 1980. We categorized them according to the following classification: (1) human made disasters (n=90) (2) technological disasters (n=65) and (3) natural disasters (n=116) Since some studies reported on findings from mixed samples (e.g. survivors of flooding and chemical contamination) we grouped these studies together (n=13)  The body of research conducted after disasters in the past three decades suggests that the burden of PTSD among persons exposed to disasters is substantial. Post disaster PTSD is associated with a range of correlates including sociodemographic and background factors, event exposure characteristics, social support factors and personality traits. Relatively few studies have employed longitudinal assessments enabling documentation of the course of PTSD. Methodological limitations and future directions for research in this field are discussed.
Content based image retrieval for big visual data using image quality assessment model
Venue: CSI Transactions on ICT
Year: 2016

Modern technology made storing, sharing, organizing huge amounts of data simple through the Internet of things. Search engines and query based retrieval databases made access to relevant data easy through ranking and indexing based on content stored. This paper presents a content based image retrieval technique using image quality assessment (IQA) model. The scheme combines two images IQA model namely mean structural similarity index measure (MSSIM) and feature similarity index measure (FSIM) to take the relative advantage of each other. The MSSIM algorithm believes that human visual system can greatly reorganize the structural information from an image signal. On the other hand, color information is extracted using FSIM model. A combination of four image features i.e. luminance, contrast, structure, and color are used for similarity matching. Extensive experiments are carried out and assessment results reveal the outperforming result of the proposed technique with other related scheme.
Improving Vector Space Word Representations Via Kernel Canonical Correlation Analysis
Venue: ACM Trans. Asian Low Resour. Lang. Inf. Process.
Year: 2018

Cross lingual word embeddings are representations for vocabularies of two or more languages in one common continuous vector space and are widely used in various natural language processing tasks. A state of the art way to generate cross lingual word embeddings is to learn a linear mapping, with an assumption that the vector representations of similar words in different languages are related by a linear relationship. However, this assumption does not always hold true, especially for substantially different languages. We therefore propose to use kernel canonical correlation analysis to capture a non linear relationship between word embeddings of two languages. By extensively evaluating the learned word embeddings on three tasks (word similarity, cross lingual dictionary induction, and cross lingual document classification) across five language pairs, we demonstrate that our proposed approach achieves essentially better performances than previous linear methods on all of the three tasks, especially for language pairs with substantial typological difference.
Block Copolymer of Flexible and Semi Flexible Block Confined in Nanopost Array
Venue: Polymers
Year: 2018

Coarse grained molecular dynamics simulations of a diblock copolymer consisting of a flexible and semi flexible block in a dense array of parallel nanoposts with a square lattice packing were performed. The mutual interactions between the two blocks of the confined diblock chain were investigated through a comparison of their size, structure, and penetration among nanoposts with the corresponding separate chains. The geometry of a nanopost array was varied at constant post separation or at constant width of the passage between nanoposts. The size of a single interstitial volume was comparable to or smaller than the size of the diblock chain. A comparison of the blocks with their separate analogous chains revealed that the mutual interactions between the blocks were shielded by the nanoposts and, thus, the blocks behaved independently. At constant passage width, competitive effects of the axial chain extension in interstitial volumes and the lateral chain expansion among interstitial volumes led to a nonmonotonic behavior of the axial span. The position of the maximum in the span plotted against the filling fraction for a diblock chain was dictated by the semi flexible block. The semi flexible block penetrates among the nanoposts more readily and the expansion of the whole diblock copolymer is governed by the semiflexible block. The main findings were explained using the free energy arguments when an interstitial volume was approximated by a channel geometry and a passage aperture by a slit geometry. Detail knowledge of controlled conformational behavior in a compartmentalized environment can contribute to new processes in the storage and retrieval of information.
Strategic decisions on urban built environment to pandemics in Turkey: Lessons from COVID 19
Venue: Journal of Urban Management
Year: 2020

COVID 19 is a global pandemic where urban built environment is facing significant challenges. Deploying robust strategic planning and decisions on built environment can overcome or reduce such challenges. These strategies can help to inform, assist urban citizens as well as address anticipated threats of pandemics. From the Ottoman Empire to modern Turkey has taken several strategic measures for its urban built environment in order to ensure health and safety issues of the urban citizen. Based on secondary based research, this study reviews the historical background on different measures on the urban built environment and giving special attention on COVID 19 until its normalisation phase started on June 1, 2020. This study recommends that centralised decision making and active participation and implementation at the local level can make successful to combat pandemics. This study also recommends that adequate provision of place, safety, health related issues with an integrated manner are needed to form healthy urban built environment. In addition, safe water, green environment, adaptation based strategies on climate change, comprehensive community planning, de densifying inside buildings etc. seems to be a solution for future urban built environment design.
Exceso de peso y riesgo cardiometabolico en docentes de una universidad de Lima: oportunidad para construir entornos saludables
Year: 2017

Resumen Introduccion La mortalidad global debido a las enfermedades no transmisibles es alta y creciente. En el Peru representa el 66% de las muertes. Objetivos Determinar la frecuencia de obesidad y sobrepeso, y evaluar el riesgo cardiovascular y metabolico. Materiales y metodos Estudio descriptivo transversal desarrollado entre julio y noviembre de 2016; los participantes fueron docentes de una universidad privada de Lima Norte. Para determinar el sobrepeso y obesidad se empleo el indice de masa corporal; el riesgo cardiovascular y metabolico se evaluo con el perimetro abdominal y el riesgo de diabetes mellitus se determino mediante el cuestionario FINDRISC. Resultados De los 164 docentes participantes el 51,8% (n 85) tenian menos de 45 anos, el 73,2% (n 120) fueron varones, el 3% (n=5) tenian antecedente de hipertension arterial y el 5,5% (n 9) diabetes mellitus, el 47,6% (n 78) tenian sobrepeso y el 31,1% (n 51) obesidad. Excluyendo los antecedentes de hipertension arterial y diabetes mellitus, el nivel de riesgo cardiovascular fue alto en el 32,7% (n 49) muy alto en el 42% (n 63) con diferencias significativas entre generos (p 0,001) En cuanto al riesgo de adquirir diabetes mellitus, en el 36,7% (n 55) fue discretamente elevado, en el 12,7% (n 19) moderado, en el 5,3% (n 8) alto y en el 0,7% (n 1) muy alto, sin diferencias significativas entre generos (p 0,568) Conclusiones En los docentes universitarios existe una alta frecuencia de sobrepeso y obesidad, presentan alto riesgo cardiovascular y metabolico. Se requiere fortalecer la promocion de los estilos de vida saludables, principalmente en el consumo de alimentos saludables y el aumento de la actividad fisica.
BDAQ53, a versatile pixel detector readout and test system for the ATLAS and CMS HL LHC upgrades
Year: 2021

BDAQ53 is a readout system and verification framework for hybrid pixel detector readout chips of the RD53 family. These chips are designed for the upgrade of the inner tracking detectors of the ATLAS and CMS experiments. BDAQ53 is used in applications where versatility and rapid customization are required, such as in laboratory testing environments, test beam campaigns, and permanent setups for quality control measurements. It consists of custom and commercial hardware, a Python based software framework, and FPGA firmware. BDAQ53 is developed as open source software with both software and firmware being hosted in a public repository.
Comparative evaluation of different combined cycle configurations having simple gas turbine, steam turbine and ammonia water turbine
Venue: Energy
Year: 2019

Gas/steam combined cycles have been increasingly used in power plants due to better energy utilization for getting better performance from them as compared to Brayton cycle based gas turbine plant or the Rankine cycle based steam turbine plant individually. However, there exists ample scope for further improvement in the performance of combined cycles through variations in their arrangements. The present study deals with the thermodynamic analysis of different combined cycle power plant configurations having the simple gas turbine with closed loop cooling of gas turbine blades and varying arrangements in the bottoming cycle. The variation in the bottoming cycle relies upon the effective utilization of energy available in the topping cycle. The bottoming cycle considered uses steam cycle or ammonia water cycle or its combination. The comparison of eight different combined cycle configurations considered in this study reveals that, the work output is maximum for simple gas turbine with bottoming cycle having reheat ammonia water turbine and steam turbine, with an output of 638 kJ/kg of air, first and second law efficiency of 54.95% and 57.87% respectively for ammonia mass fraction of 0.7. The exergy loss is found to be maximum for the combustion chamber followed by heat recovery vapor generator.
Use of Seawater/Brine and Caliche's Salts as Clean and Environmentally Friendly Sources of Chloride and Nitrate Ions for Chalcopyrite Concentrate Leaching
Year: 2020

A less harmful approach for the environment regarding chalcopyrite concentrate leaching, using seawater/brine and caliche's salts as a source of chloride and nitrate ions, was investigated. Different variables were evaluated: sulfuric acid concentration, sodium nitrate concentration, chloride concentration, source of water (distilled water, seawater, and brine) temperature, concentrate sample type, nitrate source (analytical grade and industrial salt) and pre treatment methods in order to obtain maximum copper extraction. All tests were performed at moderate temperatures =45 degC) and atmospheric pressure. The leaching system using distilled water, seawater, and brine base media resulted in copper extraction of 70.9% 90.6% and 86.6% respectively. The leaching media, with a concentration of 20 g/L Cl obtained a maximum Cu extraction of 93.5% An increase in the concentration of H2SO4 and NaNO3 from 0.5 to 0.7 M, led to an increase in the copper extraction. The use of an industrial salt compared to the analytical salt did not show great variations in the percentage of extraction achieved, which would be a good and cost effective alternative. The increase in temperature from 25 to 45 degC showed a great effect on the copper leaching (of 60% until 90.6% respectively) The pre treatment is suggested to increase copper extraction from 60.0% to 71.4%