nils-herrmann/clean_scirepeval huggingface dataset:
Nomogram Based Prediction of the Risk of Diabetic Retinopathy: A Retrospective Study
Venue: Journal of diabetes research
Year: 2020

This study is aimed at developing a risk nomogram of diabetic retinopathy (DR) in a Chinese population with type 2 diabetes mellitus (T2DM)  A questionnaire survey, biochemical indicator examination, and physical examination were performed on 4170 T2DM patients, and the collected data were used to evaluate the DR risk in T2DM patients. By operating R software, firstly, the least absolute shrinkage and selection operator (LASSO) regression analysis was used to optimize variable selection by running cyclic coordinate descent with 10 times K cross validation. Secondly, multivariable logistic regression analysis was applied to build a predicting model introducing the predictors selected from the LASSO regression analysis. The nomogram was developed based on the selected variables visually. Thirdly, calibration plot, receiver operating characteristic (ROC) curve, and decision curve analysis were used to validate the model, and further assessment was running by external validation.  Seven predictors were selected by LASSO from 19 variables, including age, course of disease, postprandial blood glucose (PBG) glycosylated haemoglobin A1c (HbA1c) uric creatinine (UCR) urinary microalbumin (UMA) and systolic blood pressure (SBP) The model built by these 7 predictors displayed medium prediction ability with the area under the ROC curve of 0.700 in the training set and 0.715 in the validation set. The decision curve analysis curve showed that the nomogram could be applied clinically if the risk threshold is between 21% and 57% and 21% 51% in external validation.  Introducing age, course of disease, PBG, HbA1c, UCR, UMA, and SBP, the risk nomogram is useful for prediction of DR risk in T2DM individuals.
Energy converting layers for thin film flexible photovoltaic structures
Year: 2018

The paper presents research focused on the efficiency improvement of inorganic flexible thin film solar cells, using energy converting layers. The light capture enhancement was achieved through the introduction of layers based on rare earth elements, as top coatings on the amorphous silicon photovoltaic structures. Such luminescent layers are converting high energy photons into low energy ones, which are more efficient in photovoltaic conversion of the investigated solar cells. Towards this goal, powders consisting rare earth elements were applied as active particles in polymer layer. For practical experiments, the screen printing method, as a cheap, reliable and industrially ready technology was used for layers deposition. For the experiments two compositions were selected: Sr4Al14O25: Eu,Dy (BGL 300M) and SrAl2O4: Eu,Dy (G 300M) These materials are characterized by excellent thermal and optical stability and interesting luminescent properties (they absorb ultraviolet and emit in the visible range) For the verification of investigated materials and methods, various compositions of powders and proportions were tested and analyzed.
Perceived Stress Among Chinese Medical Students Engaging in Online Learning in Light of COVID 19
Venue: Psychology research and behavior management
Year: 2021

After a year of the COVID 19 pandemic, countries have repeatedly imposed strict quarantine regimes as the virus mutates and becomes more contagious. Medical undergraduate education has been disrupted and transformed into prolonged home isolation and online learning. Although studies have reported that the COVID 19 pandemic tends to increase perceived stress (PS) and affect the mental health of medical students, the influencing factors are unclear. Therefore, based on the stress process model, this study will comprehensively evaluate the distribution of stressors of medical students and explore the personal and environmental predictors of PS during the epidemic.  An online survey was conducted among medical students (n=369) from three medical universities in western China who engaged in online learning. A stress process conceptual framework was formed to explore the influencing factors of PS. The survey items contained four sections: (a) the potential stressors derived from academic, psychosocial and health related demands; coping resources such as (b) online learning environment support and (c) personal resilience, including online learning behavior and individual characteristics; and (d) PS, perception of imbalanced demands and coping resources.  The mean PS score was 17.39 (SD=4.58) and over four fifths (82.3% of the students had moderate to high levels of stress. The average item scores of academic, psychosocial and health related stressors were 2.72 (SD=0.55) 2.31 (SD=0.55) and 2.07 (SD=0.50) respectively. Gender, grade, psychosocial stressors, health related stressors, specific online learning behavior (persistence, attitude and flexibility) and the online learning environment (teaching, social and cognitive presence) were predictors of PS.  Our results specify that a reduction in psychological and health related stressor stimulation, specific online learning behavior promotion, and well established online learning environment support could be considered essential for alleviating the negative impacts of COVID 19 on the psychosocial health of medical undergraduates.
Identifying Candidate Tasks for Robotic Process Automation in Textual Process Descriptions
Venue: BPMDS/EMMSAD@CAiSE
Year: 2018

The continuous digitization requires organizations to improve the automation of their business processes. Among others, this has lead to an increased interest in Robotic Process Automation (RPA) RPA solutions emerge in the form of software that automatically executes repetitive and routine tasks. While the benefits of RPA on cost savings and other relevant performance indicators have been demonstrated in different contexts, one of the key challenges for RPA endeavors is to effectively identify processes and tasks that are suitable for automation. Textual process descriptions, such as work instructions, provide rich and important insights about this matter. However, organizations often maintain hundreds or even thousands of them, which makes a manual analysis unfeasible for larger organizations. Recognizing the large manual effort required to determine the current degree of automation in an organization's business processes, we use this paper to propose an approach that is able to automatically do so. More specifically, we leverage supervised machine learning to automatically identify whether a task described in a textual process description is manual, an interaction of a human with an information system or automated. An evaluation with a set of 424 activities from a total of 47 textual process descriptions demonstrates that our approach produces satisfactory results.
Self employment and unemployment relationship in Romania Insights by age, education and gender
Year: 2019

We check on the short term if self employment in Romania influences unemployment and vice versa. Age, education and gender characteristics treat both variables, and self employment considers both cases with and without employees. The objective is to look at the job creation and unemployment reduction in quarterly variation during the 1999Q1 2017Q3 period. On autoregressive models, we apply the Toda and Yamamoto (1995) procedure, detailed by Giles (2011) to assess for Granger Causality. We found for unemployment rates a push effect in the self employment rate for adults and youth with low education level to self employment without employees' rate for adults and self employment with employees' rate for old adults. We establish a 'Schumpeter' effect for the adult with a low level of education self employment to unemployment, for adults' males with tertiary education and self employed, and older adults self employed without employees to unemployment. We conclude that unemployment work as an inclusion mechanism for some vulnerable groups but inefficient for others. Self employment with employees is less diversified, indicating a high risk aversion and low start up effect. In general, the labour market presents a unidirectional flexibility effect.
Product Development of Chocolate with Quality Function Deployment Approach: A Case Study in SMEs Chocolate Industry in Indonesia
Year: 2018

Product development based on customers preference needs to be performed by the manufacturer along with the development of technology and change of consumer needs to a product or service. The aim of this study was to develop the quality of chocolate products of small medium enterprises (SMEs) to be more competitive in the domestic market. Currently, the chocolate market is dominated by imported chocolate products with better product quality and marketing network. The method used was the Quality Function Deployment (QFD) approach, where customer needs are used as the basis for product development. Through the QFD method, it can produce a product development design priority that can be implemented in response to customer need. Results of analysis and calculation using QFD method showed that the top priority for technical response was "skill knowledge of R&D (research development) team" with a value of 346.3. The QFD analysis also showed that "chocolate content" is also a priority in product development with a value of 212.8. The quality of chocolate products highly depend on the level of expertise and knowledge of the product development team, as well as the composition of chocolate content. The SME's chocolate managements may give priority based on the assessment of each technical response in accordance with their own capabilities and resources.
Exploring the Value of Urban Trees and Green Spaces in Leeds, UK
Year: 2016

In 2014, around 54% of the world's population were living in towns and cities, and this number is projected to increase to nearly 70% by the middle of the century. Almost two thirds of the urban area that will exist by the year 2030 is yet to be built, so it is vital that we take the opportunity to create and maintain healthy and sustainable urban environments. Urban green spaces such as domestic gardens, parks and woodlands provide a multitude of benefits to human urban populations, and a vital habitat for wildlife. By improving physical fitness and reducing depression, the presence of green spaces can enhance the health and wellbeing of people living and working in cities. Green spaces also indirectly impact our health by improving air quality and limiting the impact of heatwaves by reducing urban temperatures. In addition, urban vegetation stores carbon, helping to mitigate climate change, and reduces the likelihood of flooding by storing excess rain water. We will present an overview of the existing literature around the impacts of green spaces in urban populations and describe the Leeds Forest Observatory (LFO) an outdoor laboratory being established in collaboration with Leeds City Council. We will also outline our plans to assess the local and city wide woodland resource using the i Tree software, designed to facilitate economic valuation of urban trees through their role in carbon storage, air quality control and flood reduction.
From Princesa to Princess with a Prince: 1994 and 2001 Fernanda's Stories
Year: 2012

In an analysis of what presents itself as a cinematic transposition of a literary text, it is difficult to break away from the "binary oppositions literature versus cinema, high culture versus mass culture, original versus copy" (James Naremore) In the case of Princesa (2001) directed by Henrique Goldman, it is questionable whether we can speak about an adaptation at all. As Goldman himself stated, he got the idea for making the film after reading the eponymous 1994 book written by Fernanda Farias de Albuquerque in collaboration with Maurizio Jannelli. In his film, Goldman has made drastic changes to the autobiographical story of Fernanda, the Brazilian transsexual prostitute who travels to Europe in order to earn money for her sex change operation. However, the film was in fact dedicated to the memory of the real Fernanda, who had passed away in the meantime. In this contribution, the two works will be examined in their relationship to a third source text by paying special attention to the processes of worldmaking as developed in Nelson Goodman's seminal 1978 book and expanded in the 2010 collection of essays Cultural Ways of Worldmaking. Media and Narratives.
PARADIPLOZOON HOMOION (MONOGENEA) DIGESTIVE TRACT ON THE FINESTRUCTURE LEVEL
Year: 2015

Diplozoons (Monogenea) are blood feeding ectoparasites of fish with specific cross body arrangement of two permanently fused adult individuals. Each has two large bucal suckers and a muscular pharynx in the anterior part and an opisthaptor with scleroprotein clamps and hooks in the posterior part of body. Whereas these conspicuous morphological structures have been frequently studied, details of internal morphology and ultrastructure are little known. Specimens of P. homoion were obtained from the gills of common bleak Alburnus alburnus; the fish were caught in the littoral zone of Musov lowland reservoir (South Moravia, Czech Republic) The fish gills were checked using stereo microscope for the presence of all diplozoid ontogenetic stages. Founded parasites were fixed by 2% osmium tetroxide, dehydrated through ascending acetone series and immediately embedded in a Spurr resin. All sections were obtained by Leica EM UC6i ultramicrotome. Semi thin sections were stained by toluidine blue and ultra thin sections were contrasted by uranyl acetate lead citrate. Ultra thin sections were examined by transmission electron microscope operating at 60 kV (JEOL JEM 1010) equipped with Megaview II software. In this study, the ultrastructural details of the gastrointestinal tract of this worm which represent a unique documentation of specialised structures such as buccal suckers, pharynx with pharyngeal glandular cells, haematin cells and the ultrastructural view of the gut lumen with intact erythrocytes, were documented. Our findings support the hypothesis that the mechanism of P. homoion digestion is predominantly intracellular.
Role of Information and Communication Technology Tools (ICT) in Rural Development
Year: 2013

The rise of Information and Communication Technology has leveled the field of progress and development. No more development could be confined to a single place, however subtle it may be of. The rural India is lagging no way behind in adopting the usage of ICT tools. Mobile phones, TV sets, radios why even computers and laptops are entering their scaffolds in fervent pace. It could be very well said that agriculture, though loosing its sheen, still occupies predominant position in rural hinterlands. Any amount of growth is not possible in rural lands and populace alike with the links to agriculture getting severed. It could very well be hypothesized that rural India could develop if agriculture could touch some higher notches. This paper was intended to find how ICT tools could be better utilized to deliver farmers and thereby farming better. An attempt has been made to find out how far the farmers use and utilize ICT tools for the agricultural activities. Moreover attempt has also been made to bring out the difficulties of farmers in accessing ICT tools to better their prospects from agriculture. Since marketing has become the major driving force in mapping and sequencing a cropping activity, this paper also tries to bring out the scope of ICT tools in bettering the remuneration of farming community. In short, the paper tries to pinpoint that only when farming becomes a viable proposition rural development would be possible and sustainable.
Transition to Online Education in Schools during a SARS CoV 2 Coronavirus (COVID 19) Pandemic in Georgia
Year: 2020

The situation in general education in Georgia has changed in the spring semester of 2020, when the first case of coronavirus COVID 19 infection was detected rising to 211 local and more than 1,5 million infection cases worldwide by the Apr. 8. 2020. Georgia became one of 188 countries worldwide that has suspended the education process. The paper studies the capacities of the country and its population to continue the education process at the schools in the online form of distance learning, study reviews the different available platforms and indicates the ones that were used by the support of the government, such as online portal, TV School and Microsoft teams for public schools and the alternatives like Zoom, Slack and Google Meet, EduPage platform that can be used for online education and live communication and gives examples of their usage. Authors made a case study, where the Google Meet platform was implemented for online education in a private school with 950 students, shows the usage statistics generated by the system for the first week of the online education process. Results confirm that the quick transition to the online form of education went successful and gained experience can be used in the future. The experience and studies can be useful for other countries that have not found the ways of transition yet. The lesson learned from the pandemic of 2020 will force a generation of new laws, regulations, platforms and solutions for future cases, when the countries, government and population will be more prepared than today.
Assessment of the potential of Varna City as a smart tourist destination
Year: 2020

In recent years digitalization became a mainstream factor for socio economic development and improvement of quality of life. The concepts of "smart cities" and "smart tourist destinations" are real consequences of the global urbanization process. Nowadays, digitalization is a privilege for every destination oriented towards young people and innovation initiatives. Intelligent destinations require development of optimal urban management models bound by considerable investments. The current study examines the potential of the Sea capital of Bulgaria Varna to become a smart tourism destination. The used methodology is based on the selection of three scientific tools PESTEL analysis, SWOT analysis and Delphi method. The major findings showed that the need of digitalization will become an important feature of the tourist supply in Varna. The city is a fast growing academic destination and an attractive center for many young people. The tendency to use innovative technologies before and during the stay in a destination, typical for every young person, creates numerous opportunities for Varna. The introduction of ICT in the modern life of the residents and the guests of the city should be done through a precise assessment of the advantages and disadvantages of the digitalization process
High yield scalable graphene nanosheet production from compressed graphite using electrochemical exfoliation
Venue: Scientific Reports
Year: 2018

Electrochemical exfoliation is a promising bulk method for producing graphene from graphite; in this method, an applied voltage drives ionic species to intercalate into graphite where they form gaseous species that expand and exfoliate individual graphene sheets. However, a number of obstacles have prevented this approach from becoming a feasible production route; the disintegration of the graphite electrode as the method progresses is the chief difficulty. Here we show that if graphite powders are contained and compressed within a permeable and expandable containment system, the graphite powders can be continuously intercalated, expanded, and exfoliated to produce graphene. Our data indicate both high yield (65% and extraordinarily large lateral size >30 mm) in the as produced graphene. We also show that this process is scalable and that graphene yield efficiency depends solely on reactor geometry, graphite compression, and electrolyte transport.
A symbol spotting approach in graphical documents by hashing serialized graphs
Venue: Pattern Recognit.
Year: 2013

In this paper we propose a symbol spotting technique in graphical documents. Graphs are used to represent the documents and a (sub)graph matching technique is used to detect the symbols in them. We propose a graph serialization to reduce the usual computational complexity of graph matching. Serialization of graphs is performed by computing acyclic graph paths between each pair of connected nodes. Graph paths are one dimensional structures of graphs which are less expensive in terms of computation. At the same time they enable robust localization even in the presence of noise and distortion. Indexing in large graph databases involves a computational burden as well. We propose a graph factorization approach to tackle this problem. Factorization is intended to create a unified indexed structure over the database of graphical documents. Once graph paths are extracted, the entire database of graphical documents is indexed in hash tables by locality sensitive hashing (LSH) of shape descriptors of the paths. The hashing data structure aims to execute an approximate k NN search in a sub linear time. We have performed detailed experiments with various datasets of line drawings and compared our method with the state of the art works. The results demonstrate the effectiveness and efficiency of our technique.
Changing rhythm of life modern epidemic of mobile phone misuse
Year: 2019

The near epidemic and extensive use and dependence on mobile phone usage by all strata of modern society has had effects on sleep patterns, social interactions and work outputs. The study aims to examine the relationship between mobile phone usage and sleep patterns among medical students.  A cross sectional survey was conducted involving 294 UG MBBS students aged between 17 and 25 years who were questioned on their sleep patterns and mobile phone usage. This was assessed by a self administered, Pittsburgh Sleep Quality Index (PSQI) questionnaire. In addition, they were also interviewed with a semi structured questionnaire on the pattern of their daily mobile phone usage.  Mean age of students (SD) was 20.74 years 1.72) All the students owned a smartphone and mainly used it for communication, social networking, gaming, reading, watching movies and taking photographs and videos. 42.85 of students used their phone for up to 60 minutes before sleeping and 45.23% used it for up to 30 minutes before sleeping. Night time usage of mobile phones was significantly (p<0.05) associated with increased difficulty in waking up, wake time tiredness, decreased concentration, sleep latency and tendency to miss or be late to classes. Further, greater hours of mobile phone usage correlated to higher PQSI scores, meaning poor sleep quality. These problems were more prevalent in students living in hostels compared to those students living with their families.  Use of mobile phones before bedtime negatively impacts sleep, psychological health and academic performance of students. Avoidance or restriction of late night mobile phone use should be encouraged.
Distributed formation control of multi robot system with obstacle avoidance
Venue: 2013 International Conference on Robotics, Biomimetics, Intelligent Computational Systems
Year: 2013

Formation control is one of the emerging research topics in the study of multi robot coordination. In this research, we designed distributed formation control with obstacle avoidance. Our formation control law uses consensus algorithm with displacement based strategy. It consists of three layers of control. The first layer is formation center estimator using consensus algorithm. The second layer is a regulated hybrid system between position tracking and obstacle avoidance. The third layer is transformation to control signals for nonholonomic robots. We verify the controller by simulation on MATLAB.