nils-herrmann/clean_scirepeval huggingface dataset:
Conversations with siblings and with friends Links between relationship quality and social understanding
Year: 2006

This study investigates features of interaction between children that are linked to the development of understanding of mind, and asks whether these associations are evident across different relationships. Comparisons are made of the naturally occurring conversations in a sample of 43 4 year old children, each observed with a sibling and with a friend. Links between features of these conversational interactions and the children's social cognitive development (theory of mind, emotion understanding) language ability and relationship quality are examined. Social cognitive skills were related to successful communication with siblings and with friends, and (marginally) to joint pretend play in both relationships; the relative significance of language for the development of social understanding differed in the two relationships. Language skills and socio economic background were important only for conversations and pretend play with friends, not siblings.
Recent advances in cellulose and chitosan based membranes for water purification: A concise review.
Venue: Carbohydrate polymers
Year: 2016

Recently membrane technology has emerged as a new promising and pervasive technology due to its innate advantages over traditional technologies such as adsorption, distillation and extraction. In this article, some of the recent advances in developing polymeric composite membrane materials for water purification from natural polysaccharide based polymers namely cellulose derivatives and chitosan are concisely reviewed. The impact of human social, demographic and industrial evolution along with expansion through environment has significantly affected the quality of water by pollution with large quantities of pesticides, minerals, drugs or other residues. At the forefront of decontamination and purification techniques, we found the membrane materials from polymers as a potential alternative. In an attempt to reduce the number of technical polymers widely used in the preparation of membranes, many researchers have reported new solutions for desalination or retention of organic yeasts, based on bio renewable polymers like cellulose derivatives and chitosan. These realizations are presented and discussed in terms of the most important parameters of membrane separation especially water flux and retention in this article.
Impact of non performing assets on the profitability in Indian scheduled commercial banks
Venue: African Journal of Business Management
Year: 2019

Banking in modern times is the kingpin of all economic activities. It is instrumental in shaping the economic destiny of a country. Banks are considered as the nerve centres of economics and finance of any nation and the barometer of its economic prospective. Since the banks have stupendous investment potential, they can make a significant contribution in eliminating poverty and problem of unemployment. It can bring about a progressive reduction in inter regional/ state, inter sectoral and inter personal disparities in India. The banking sector is facing the problem of rising NPAs at present. The purpose of the study is to measure the impact of NPAs on the profitability of Indian scheduled commercial banks for the period of ten years. The study discusses the impact of NPA on the profitability in India scheduled commercial banks for the past ten years from 2007 2008 to 2016 2017. The ratio analysis, regression analysis, tests of equality of means, cross correlogram with the help of E Views 10 software were used to identify the variables pertaining to NPAs on the profitability of the banking sector. There is an increasing trend of NPAs of Scheduled commercial banks in India.  Gross NPA, Net NPA, gross advances, net advances, total assets and profitability.
Les oublies du leadership comprendre l'effet des leadership de structure et de consideration sur la retention et la performance discretionnaire des ressources humaines
Year: 2012

Dans un article publie en 2004, Thimothy Judge et ses collegues ont lance un appel exhortant les chercheurs a se reinteresser a une conceptualisation comportementale du leadership ayant trop longtemps ete laissee pour compte dans la recherche scientifique. Les comportements de consideration et de structure ont effectivement souffert d'un vide theorique important, si bien qu'ils sont actuellement consideres comme les ?forgotten ones? du leadership. La presente etude a pour objectif general de repondre a cet appel. Plus precisement, elle vise a examiner le processus expliquant l'impact des leadership de structure et de consideration sur la performance des ressources humaines. Nous nous interessons a deux indicateurs de performance RH, soit la retention des employes (ou le turnover volontaire) et la performance discretionnaire.Notre etude renferme deux sous objectifs, soit, premierement, d'evaluer le role mediateur de la perception de justice (distributive et procedurale) dans la relation entre ces styles de leadership et la performance RH. Deuxiemement, elle se penche sur l'effet du leadership en tant que construit collectif sur ce mediateur qu'est la justice. Nous avons propose un modele multiniveaux et teste ce modele a partir d'un echantillon compose de 625 employes, regroupes en 27 unites organisationnelles provenant d'une entreprise canadienne oeuvrant dans le secteur du commerce de detail. Les analyses de modeles lineaires hierarchiques ont ete effectuees a partir de donnees collectees aupres de trois differentes sources.Nos resultats indiquent que les comportements de consideration et de structure permettent de reduire le turnover volontaire et de favoriser une plus forte performance discretionnaire, et ce, soit de maniere directe, soit par le biais de la perception de justice des subordonnes. Nos resultats revelent aussi que le climat de leadership exerce une influence inter niveaux sur la perception de justice des employes. De maniere generale, cette etude apporte deux contributions theoriques principales. D'une part, elle permet une meilleure comprehension des mecanismes expliquant les effets des leadership de structure et de consideration sur la performance RH. D'autre part, elle contribue a l'integration de deux litteratures majeures qui ont ete trop longtemps etudiees de facon independante, soit le leadership et la justice.
"Mechanistic Science and Metaphysical Romance" (1915) by Jacques Loeb
Year: 2018

Jacques Loeb [4] published "Mechanistic Science and Metaphysical Romance" in 1915. His goal for the article was to outline his conception  of mechanistic science and its relation to other methods of inquiry. Loeb argued that mechanistic science was the foundation of knowledge and humanity's progress depended on it. Loeb's argument altered the account of science he offered in The Mechanistic Conception of Life insofar as scientists no longer aimed merely to control nature, but also to understand nature's underlying elements and their mechanical relations. Loeb relied on the results of his research into fish [6] embryos and tropisms [7] to bolster his argument.
Quantifying quality of 3D printed clay objects using a 3D structured light scanning system
Year: 2020

Three dimensional (3D) printing, or additive manufacturing, has been increasingly used in many fields, including the medicine, food, sensing, metal, automotive, and construction industries. Regardless of its growing applications, there are few of methods, guidelines, and specifications for measuring and quantifying the qualities of 3D printed objects. This is particularly so for objects those are too small, too large, and/or too fragile to be handled manually. In this study, for the first time, a non contact, and non destructive measurement method, a 3D structured light scanning system (3D SLSS) was employed for evaluating the printing qualities of clay objects with different levels of visual defects (e.g. roughness and distortion) 3D scanned images of these clay samples were developed using 3D SLSS. Then, they were sliced along their sides (perpendicular to the base) to generate a number of two dimensional (2D) plots, from which various parameters (e.g. sample total height [Htotal] outer diameter [DMouter] layer thickness [TL] layer width, (WL] surface angle [Sa] semi cross sectional area [XA] and surface roughness [R] were measured. These measurements were then compared with the designed values. The percentages of the differences between the measured and designed values were used to develop a diagnosed area of deficiency, by which the overall qualities of the printed samples were quantified. The results illustrated that all the printed samples exhibited certain differences between their measured and designed values, even for those that appeared well printed. Compared with the designed object, the printed samples generally had reduced total height, diameter, and layer thickness; increased layer width; measurable distortion; and visible surface roughness. Many of these were largely because the freshly printed clay deformed under the weight of the layers above. The distortion angle and area are two necessary parameters for quantifying the degree of distortion of a printed sample. The diagnosed area of deficiency can well describe the overall qualities of the printed samples. 3D SLSS is a relatively simple, fast, and inexpensive characterization method. Moreover, it can be conveniently extended to various industries for quality control of diverse 3D printing products.
Generation of intense single short attosecond pulse with a multicycle spatially inhomogeneous field
Year: 2021

We theoretically study the high order harmonics and single attosecond pulse generation from a pre excited He+ ion in a multicycle two color spatially inhomogeneous field. It is shown that the broadband supercontinuum spectrum and single quantum path selection can be realized, and then a single 15.2 as pulse is directly obtained. By appending a uv attosecond pulse to the two color spatially inhomogeneous field at a proper time, the conversion efficiency of the high energy part of the supercontinuum is improved by at least an order of magnitude, which enables the production of an intense single 17.3 as pulse.
Redefining proximity framework in non specialized open markets using buyers location coordinates for nearest seller identification: An immediate open market response to covid 19 realities
Year: 2020

Over the years, specialized open market approach has remained unstructured along many lines and this has affected the intervention of technical advancement in the buyer seller relationship. The consequence of this includes the inability of online markets moderators and e commerce systemdevelopers to incorporate these markets as many ecommerce platforms use predetermined structured frameworks. In this paper, the researchers presented a Unified Modeling Framework as an implementable approach to restructure the non specialized open markets using proximity based techniques. The approach was implemented as a web service and user's feedback suggested high level of satisfaction in the defined approach. 45 users were engaged in the trials and our results revealed that the approach motivated both buyers and sellers to adopt the use of mobile ecommerce platforms as an alternative market. Awareness, product safety and originality are some challenges to which both buyers and sellers raised as areas of concern. Many considered this approach a necessity considering the several restrictions that will emerge post COIVID19.  Open, Market, Buyer, Seller, Proximity Framework, COVID 19.
Exact exponential synchronization rate of high dimensional Kuramoto models with identical oscillators and digraphs
Year: 2021

For the high dimensional Kuramoto model with identical oscillators under a general digraph that has a directed spanning tree, although exponential synchronization was proved under some initial state constraints, the exact exponential synchronization rate has not been revealed until now. In this paper, the exponential synchronization rate is precisely determined as the smallest non zero real part of Laplacian eigenvalues of the digraph. Our obtained result extends the existing results from the special case of strongly connected balanced digraphs to the condition of general digraphs owning directed spanning trees, which is the weakest condition for synchronization from the aspect of network structure. Moreover, our adopted method is completely different from and much more elementary than the previous differential geometry method.
Graphene Photodetectors: Large Scale Production of Bismuth Chalcogenide and Graphene Heterostructure and Its Application for Flexible Broadband Photodetector (Adv. Electron. Mater. 5/2016)
Year: 2016

In article number 1600077, Bao et al. demonstrate large scale production of Bi2SexTe3 x graphene van deer Waals heterostructures using a solvothermal method. Free standing films produced from this heterostructure show improved electrical, photoelectric and mechanical properties, making their photoresponsive material promising for flexible photodetectors that can operate from visible to near infrared wavelengths.
COVID 19 Infects Real Estate Markets: Short and Mid Run Effects on Housing Prices in Campania Region (Italy)
Year: 2020

The COVID 19 (also called "SARS CoV 2" pandemic is causing a dramatic reduction in consumption, with a further drop in prices and a decrease in workers' per capita income. To this will be added an increase in unemployment, which will further depress consumption. The real estate market, as for other productive and commercial sectors, in the short and mid run, will not tend to move independently from the context of the aforementioned economic variables. The effect of pandemics or health emergencies on housing markets is an unexplored topic in international literature. For this reason, firstly, the few specific studies found are reported and, by analogy, studies on the effects of terrorism attacks and natural disasters on real estate prices are examined too. Subsequently, beginning from the real estate dynamics and economic indicators of the Campania region before the COVID 19 emergency, the current COVID 19 scenario is defined (focusing on unemployment, personal and household income, real estate judicial execution, real estate dynamics) Finally, a real estate pricing model is developed, evaluating the short and mid run COVID 19 effects on housing prices. To predict possible changes in the mid run of real estate judicial execution and real estate dynamics, the economic model of Lotka Volterra (also known as the "prey predator" model) was applied. Results of the model indicate a housing prices drop of 4.16% in the short run and 6.49% in the mid run (late 2020 early 2021)
Prediction of Churning Behavior of Customers in Telecom Sector Using Supervised Learning Techniques
Venue: 2018 IEEE 3rd International Conference on Computing, Communication and Security (ICCCS)
Year: 2018

Data mining is vast area that co relates diverse branches i.e Statistics, Data Base, Machine learning and Artificial intelligence. Various applications are accessible in various areas. Churning of the Customer is the behavior when client never again needs to stay with his association with the company. Customer Churn Management is assuming essential job in client management. Nowadays different telecommunication companies are concentrating on distinguishing high esteemed and potential churning clients to expand benefit and share market. It is comprehended that making new clients are costlier than to holding existing client. There is a current issue that customer leave the organization because of obscure reasons. In our investigation, we predict churn behavior of the client by utilizing diverse data mining methods. It will in the long run help in breaking down client's behavior and characterize whether it is a churning client or not. We utilize online accessible data set available at Kaggle repository and for forecasting of Customer behavior we utilized different algorithms while we achieved 99.8% accuracy level using Bagging Algorithms.
Style Based Search Using RNN for Searching Web Design Gallery
Year: 2011

Current search engines are largely text based, and the text vocabulary that they use is a poor match for the style based concerns. Search engines return pages whose content relates semantically to the keyword query; they cannot be used for searches along stylistic attributes such as "pages with funny backgrounds" or "pages that look professional" etc. We propose a system1 that will allow users to query on stylistic attributes. The search query could be either language keyword based or it could be based on examples i.e. a user can select a design and ask the system to show other examples in the corpus that are similar (or dissimilar) to the designs in the query. For example, a user can select a a web page, and query the system for other pages with similar (or dissimilar) layout and design. In this paper we describe how a Recursive Neural Network (RNN) can be used to build such systems. Given a set of training examples consisting of web pages and the corresponding style label distributions, we learn the parameters of the system via a back propagation neural network which is applied recursively to each node in the binary tree representation of the web page. Once these parameters are learned, the system can predict the style distribution for any given web page. Example based querying can be implemented on top of this representation. A comparative study shows that RNN works better than other ML techniques in context of this problem.
Quadrivalent vaccine against human papillomavirus to prevent anogenital diseases.
Venue: The New England journal of medicine
Year: 2007

A phase 3 trial was conducted to evaluate the efficacy of a prophylactic quadrivalent vaccine in preventing anogenital diseases associated with human papillomavirus (HPV) types 6, 11, 16, and 18.  In this randomized, placebo controlled, double blind trial involving 5455 women between the ages of 16 and 24 years, we assigned 2723 women to receive vaccine and 2732 to receive placebo at day 1, month 2, and month 6. The coprimary composite end points were the incidence of genital warts, vulvar or vaginal intraepithelial neoplasia, or cancer and the incidence of cervical intraepithelial neoplasia, adenocarcinoma in situ, or cancer associated with HPV type 6, 11, 16, or 18. Data for the primary analysis were collected for a per protocol susceptible population of women who had no virologic evidence of HPV type 6, 11, 16, or 18 through 1 month after administration of the third dose.  The women were followed for an average of 3 years after administration of the first dose. In the per protocol population, those followed for vulvar, vaginal, or perianal disease included 2261 women (83% in the vaccine group and 2279 (83% in the placebo group. Those followed for cervical disease included 2241 women (82% in the vaccine group and 2258 (83% in the placebo group. Vaccine efficacy was 100% for each of the coprimary end points. In an intention to treat analysis, including those with prevalent infection or disease caused by vaccine type and non vaccine type HPV, vaccination reduced the rate of any vulvar or vaginal perianal lesions regardless of the causal HPV type by 34% (95% confidence interval [CI] 15 to 49) and the rate of cervical lesions regardless of the causal HPV type by 20% (95% CI, 8 to 31)  The quadrivalent vaccine significantly reduced the incidence of HPV associated anogenital diseases in young women.
Student teachers' perceptions of critical thinking and its teaching
Year: 2019

Although the importance of critical thinking (CT) has been stressed in English language education, little attention has been paid to language teachers' perceptions and experiences regarding CT during the pre service stage of their careers. Drawing on data from a focus group and follow up email interviews with pre service language teachers, this study shows that the participants had a limited understanding of CT, and lacked preparation and support in their programmes regarding how to implement CT oriented teaching practices. The findings also revealed a range of individual and contextual challenges faced by the participants when they tried to integrate CT into their language teaching. The study concludes with recommendations on how to cultivate a critical mindset among language teachers while developing CT oriented pedagogies.
Eco friendly approach towards isolation of colorant from Esfand for bio mordanted silk dyeing
Venue: Environmental Science and Pollution Research
Year: 2021

Sustainability in all applied fields particularly in textiles is to protect our globe, environment, and community, where green dyed products are playing their role. For the current study, Esfand (Peganum harmala) has been explored using a green isolation tool, i.e. ultrasonic (U.S. rays, and applied onto fabric. Different dyeing parameters have been explored statistically through response surface methodology by employing temperature (50 80degC) time (25 65 min) extract volume (15 55 mL) salt (1 5 g/100 mL) and dye bath pH (4 7) through series of experiments. For developing new shades, green mordants such as elaichi, neem, turmeric, and zeera have been utilized. It has been found that exposure of 35 mL extract of 7 pH containing 3 g/100 mL of salt as exhausting agent to U.S. rays for 30 min for the dyeing of silk at 70degC for 45 min has given maximum color strength with reddish yellow shades. Color characteristics obtained in the CIE Lab system reveal that 5% of turmeric as meta bio mordant has given good quality reddish yellow shades. It is found that U.S. rays have not only good potential to isolate colorant followed by dyeing of silk under reduced condition but also the application of bio mordants have made the process more greener, sustainable, and cleaner.
Designing AI Models for Predicting Ischemic Stroke Using Administrative Healthcare Database
Venue: 2020 International Symposium on Computer, Consumer and Control (IS3C)
Year: 2020

Ischemic stroke (IS) is the most common type of stroke, accounting to about 80% of the stroke, and is a major cause of morbidity and mortality worldwide. The risk factors of IS included older age, male gender, high BMI, smoking habit, hypertension, diabetes, hyperlipidemia, etc. Other factors, such as environmental metal exposure and atrial cardiopathy are also found to be risk factors. In this study, a balanced dataset, consisting of healthcare data of 36,880 IS patients and 36,880 non IS patients matched with IS patients using indexed date, age, and sex, retrieved from a subset of the National Health Insurance Research Database (NHIRD) of Taiwan, an administrative healthcare database, were adopted for developing the AI models to predict events of ISs. Integrated Genetic Algorithm and Support Vector Machine (IGS) algorithm accompanied with 3 different fitness functions was applied for designing the predictive models. To select the best predictive performance from different AI models, tenfold cross validation were conducted for model training. The predictive performance of the designed models exhibits that predictive accuracy, sensitivity, specificity, and area under ROC curve (AUC) achieve 73.38 73.96% 73.31 73.91% 73.03 74.02% and 0.808 0.813, respectively. The selected features including age, comorbidities, and other comorbidity related variables are shown to be effective in designing strong predictive models (AUC>0.8) for predicting patients who are more likely to develop IS in the near future. Future works will focus on designing the predictive models using more effective AI technique, such as deep neural network (DNN) and useful variables, such as administrated drugs, to enhance the predictive performance.