nils-herrmann/clean_scirepeval huggingface dataset:
Two Strategies for Qualitative Content Analysis: An Intramethod Approach to Triangulation
Venue: Qualitative health research
Year: 2018

The overarching aim of qualitative research is to gain an understanding of certain social phenomena. Qualitative research involves the studied use and collection of empirical materials, all to describe moments and meanings in individuals' lives. Data derived from these various materials require a form of analysis of the content, focusing on written or spoken language as communication, to provide context and understanding of the message. Qualitative research often involves the collection of data through extensive interviews, note taking, and tape recording. These methods are time and labor intensive. With the advances in computerized text analysis software, the practice of combining methods to analyze qualitative data can assist the researcher in making large data sets more manageable and enhance the trustworthiness of the results. This article will describe a novel process of combining two methods of qualitative data analysis, or Intramethod triangulation, as a means to provide a deeper analysis of text.
Statistical mechanics for network structure and evolution
Year: 2018

In this thesis, we address problems in complex networks using the methods of statistical mechanics and information theory. We particularly focus on the thermodynamic characterisation of networks and entropic analysis on statistics and dynamics of network evolution. After a brief introduction of background and motivation behind the thesis in Chapter 1, we provide a review of relevant literature in Chapter 2, and elaborate the main methods from Chapter 3 to Chapter 6. In Chapter 3, we explore the normalised Laplacian matrix as the Hamiltonian operator of the network which governs the particle occupations corresponding to Maxwell Boltzmann, Bose Einstein and Fermi Dirac statistics. The relevant partition functions derive the thermodynamic quantities in revealing network structural characterisations. Chapter 4 further decomposes the global network entropy in three statistics on edge connection components. This decompensation reflects the detailed distribution of entropy across the edges of a network, and is particularly useful if the analysis of non homogeneous networks with a strong community and hub structure is being attempted. Furthermore, Chapter 5 and Chapter 6 provide the theoretical approaches to analyse the dynamic network evolution and the application of the real world networks. In Chapter 5, we investigate both undirected and directed network evolution using the Euler Lagrange equation. This variational principle is based on the von Neumann entropy for time varying network structure. The presented model not only provides an accurate simulation of the degree statistics in network evolution, but also captures the topological variations taking place when the structure of a network changes violently. Chapter 6 studies the fMRI regional brain interaction networks using directed graphs. We further develop a novel method for characterising networks using Bose Einstein entropy and the Jensen Shannon divergence. It offers a high discrimination among patients with suspected Alzheimer's disease. Finally, Chapter 7 concludes the thesis and discusses the limitations of our methodologies, which also supplies the potential research in the future.
Context Aware Filtering and Visualization of Web Service Clusters
Venue: 2014 IEEE International Conference on Web Services
Year: 2014

Web service filtering is an efficient approach to address some big challenges in service computing, such as discovery, clustering and recommendation. The key operation of the filtering process is measuring the similarity of services. Several methods are used in current similarity calculation approaches such as string based, corpus based, knowledge based and hybrid methods. These approaches do not consider domain specific contexts in measuring similarity because they have failed to capture the semantic similarity of Web services in a given domain and this has affected their filtering performance. In this paper, we propose a context aware similarity method that uses a support vector machine and a domain dataset from a context specific search engine query. Our filtering approach uses a spherical associated keyword space algorithm that projects filtering results from a three dimensional sphere to a two dimensional (2D) spherical surface for 2D visualization. Experimental results show that our filtering approach works efficiently.
The Impact of National Culture Dimensions on the Adoption of Cross Border E Commerce: A Comparative Study
Venue: Int. J. Inf. Syst. Serv. Sect.
Year: 2020

This study integrated the cultural dimensions such as power distance, collectivism, uncertainty avoidance, masculinity, and long term orientation into the UTAUT to examine the comparative impact of cultural dimensions on the adoption of cross border e commerce between the Chinese and Russian citizens. The data analysis was conducted with SPSS and Smart PLS 3.0. The results indicate that power distance, collectivism, and long term orientation respectively were significant predictors of performance expectancy and effort expectancy of cross border e commerce for both Chinese and Russian citizens. Uncertainty avoidance and masculinity were also found to determine the performance expectancy of cross border e commerce. However, while uncertainty avoidance and masculinity were significant determinants of the effort expectancy of cross border e commerce in the context of the Russia sample, it was not so for the Chinese sample. In addition, performance expectancy and social influence were positive predictors of the intention to use cross border e commerce for both Chinese and Russia samples.
Linear Transformations for Cross lingual Semantic Textual Similarity
Venue: Knowl. Based Syst.
Year: 2020

Cross lingual semantic textual similarity systems estimate the degree of the meaning similarity between two sentences, each in a different language. State of the art algorithms usually employ machine translation and combine vast amount of features, making the approach strongly supervised, resource rich, and difficult to use for poorly resourced languages. In this paper, we study linear transformations, which project monolingual semantic spaces into a shared space using bilingual dictionaries. We propose a novel transformation, which builds on the best ideas from prior works. We experiment with unsupervised techniques for sentence similarity based only on semantic spaces and we show they can be significantly improved by the word weighting. Our transformation outperforms other methods and together with word weighting leads to very promising results on several datasets in different languages.
IoT Data Placement in the Fog infrastructure with mobile devices
Venue: 2021 IEEE/ACM 21st International Symposium on Cluster, Cloud and Internet Computing (CCGrid)
Year: 2021

With the growth of the worldwide number of IoT devices, finding the right placement and storage of the massive created data is a major challenge. In fact, most IoT applications are time sensitive applications implemented in critical sectors where any delay can hinder their decision making, operational execution and decrease their performance. Fog Computing is a better solution to reduce latency by storing and processing real time data locally on the edge network. Efficient placement strategies are required to map data to distributed infrastructure nodes. Current solutions do not consider the mobility of IoT devices which exists in almost all the real systems. In this paper, we use the random waypoint model to shape the mobility of an IoT system. Furthermore, we formulate our data placement using multiple replicas as a multi objective linear programming problem aimed at minimizing the overall system latency and the number of data replicas. Then, we propose a greedy heuristic algorithm for IoT devices mobility modeling and data assignments in a feasible time. It uses a refined method to filter possible solutions in order to find the final solution with minimum overall latency while fulfilling producer data storage resource requirements and taking into account data sharing between the distributed consumers in Fog infrastructure. We conducted the experiments with iFogSim simulator respecting two data consistency models for data replicas synchronization. The results show that the proposed data placement strategy improves significantly the overall system latency and the number of data replicas to use.
Successful transcatheter arterial embolization in an asymptomatic patient with primary racemose hemangioma of the bronchial artery
Venue: Respiratory medicine case reports
Year: 2020

An asymptomatic 70 year old woman presented with a nodular lesion overlapping the pulmonary artery at the right hilar region on a chest X ray. Bronchial arteriography revealed an aneurysmal dilation of the long segment of the right bronchial artery and a shunt from the right bronchial artery to the right lower pulmonary artery. She was diagnosed with primary racemose hemangioma of the bronchial artery (RHBA) Considering the risk of hemoptysis, we performed a bronchial arterial embolization (BAE) using coils and N butyl 2 cyanoacrylate. She had no complication after the BAE and no recurrences of hemoptysis at the 36 month follow up. RHBA should be considered in case of aneurysmal dilation in the long segment of the bronchial artery, and BAE should be considered as a treatment strategy despite the absence of symptoms.
Path Planning of Tomato Cluster Harvesting Robot for Realizing Low Vibration and Speedy Transportation
Year: 2009

A manipulator control method was developed to realize the harvesting of operation for tomato clusters at high speeds. In robot harvesting, both speedy transportation and vibration damping are required when a tomato cluster is transported into a box or a basket by using a manipulator. An input shaping method (ISM) is one of the typical control methods for such control problems. Although the ISM requires accurate natural frequencies of the controlled object, the natural frequencies are different for each tomato cluster. Then, the identification of the natural frequency was combined with the ISM in our method. This identification is based on the data obtained in real time using a machine vision system, a force sensor, and a database on the physical properties of tomato clusters. A numerical simulation study and experiments were conducted and it was verified that the proposed method was applicable to the tomato harvesting robot motion.
Discrete time PIDA controller designed by Kitti's method; a third generation
Venue: 2017 56th Annual Conference of the Society of Instrument and Control Engineers of Japan (SICE)
Year: 2017

This paper proposes the design of Discrete Time PIDA (Proportional Integral Derivative Acceleration) controller. Once, the satisfied PIDA controller in Continuous Time system is obtained. Then, just discretises it by using trapezoidal approximation or bilinear transformation, the Discrete Time PIDA controller is easily achieved as well. The root loci of the closed loop systems are circular shapes in both s Plane and z Plane implied that increasing of the open loop gains, the faster and smaller in percent overshoot can be obtained. Comparing among three generations are shown that the third generation of Discrete Time PIDA controller is the simplest way in design without the difficulty to place the zeros of the controller in z Plane as in the second generation when the sampling time is too small.
If all you have is a hammer, everything begins to look like a nail how wicked is the problem of measuring productivity in higher education?
Year: 2017

This paper addresses the wicked problem of measuring the productivity of learning and teaching in higher education. We show how fundamental validity issues and difficulties identified in educational productivity research point to the need for a qualitatively different framework when considering the entire question. We describe the work that needs to be done to reshape the way learning and teaching productivity is determined and show what a university needs to know and do about its approach to learning and teaching in order to understand quality and productivity. We also examine whether educational work is in fact 'wicked' as has been supposed. The concept of an Emergent Feedback Organization (EFO) is introduced along with the six things an organization needs to do to become an EFO capable of making a valid and reliable determination of productivity.
A cross cultural analysis of perceived product quality, perceived risk and purchase intention in e commerce platforms
Venue: J. Enterp. Inf. Manag.
Year: 2020

While there have always been cultural differences between countries and between individuals, the virtualisation of markets is rendering the impact of these differences even more salient. There is clear evidence that cultural dimensions are relevant in the adoption and use of e commerce. The purpose of this paper is to analyse the significant effects of individual cultural dimensions on perceived product quality, perceived risk and purchase intention in e commerce platforms.  A questionnaire was developed to serve as a tool of measurement. A confirmatory factor analysis was conducted to examine whether all the indicators for the constructs are reliable. A multiple regression analysis was carried out to test the hypotheses.  The results reveal that, in the case of e commerce platforms, the cultural dimensions uncertainty avoidance and collectivism exert a significant influence on perceived product quality, perceived risk and purchase intention.  The present study is based on real well known e commerce platforms which could have influenced the responses of the sample due to potential past experiences of use. An experimental design based on fictitious platforms could offer more objective findings.  This research contributes to the understanding of e commerce and the behaviour of consumers during online purchasing, taking into account the cultural differences that may exist between them.  The literature on individual cultural dimensions that is, non national cases and the variables analysed in the present study suffers from great limitations. This study complements a growing interest in analysing the individual cultural dimensions and their effects on the sphere of e commerce, specifically on perceived product quality, purchase intention and perceived risk during browsing, measured in terms of the six types of risk prevalent in e commerce platforms.
Multimodal Image to Image Translation via Mutual Information Estimation and Maximization
Venue: ArXiv
Year: 2020

In this paper, we present a novel framework that can achieve multimodal image to image translation by simply encouraging the statistical dependence between the latent code and the output image in conditional generative adversarial networks. In addition, by incorporating a U net generator into our framework, our method only needs to learn a one sided translation model from the source image domain to the target image domain for both supervised and unsupervised multimodal image to image translation. Furthermore, our method also achieves disentanglement between the source domain content and the target domain style for free. We conduct experiments under supervised and unsupervised settings on various benchmark image to image translation datasets compared with the state of the art methods, showing the effectiveness and simplicity of our method to achieve multimodal and high quality results.
Maximum 2D Entropy Image Segmentation Based on Artificial Bee Colony Optimization
Year: 2012

Aiming at the problem of large computing in maximum 2D entropy based image segmentation method,this paper proposes a maximum 2D entropy image segmentation algorithm based on artificial bee colony optimization.Artificial bee colony algorithm has certain advantage in convergence speed,prevents local optimization,and has few control parameters.Using these advantages,the best 2D threshold of maximum 2D entropy method is considered as nectar,and artificial bee colony optimized maximum 2D entropy method is used to segment images.Experimental result shows that,compared with other methods,constriction of this method is quicker,stability is better and resistance to the noise is stronger.
Traumatismes Balistiques Au Chu De Bobo Dioulasso (Burkina Faso) A Propos De 39 Cas
Year: 2011

Cette etude a ete menee dans le but de decrire les aspects epidemiologiques, diagnostiques et therapeutiques des traumatismes balistiques au Centre hospitalier universitaire Souro Sanou (CHUSS) de Bobo Dioulasso. Materiel et Methodes Il s'agissait d'une etude retrospective sur 18mois (du 1er janvier 2008 au 30 juin 2009) Elle a concerne tous les patients admis aux urgences chirurgicales du CHUSS pour un traumatisme balistique recent. Les caracteristiques demographiques, diagnostiques ainsi que le traitement et l'evolution a cours terme des patients ont ete notes. Resultats Trente neuf patients repondaient aux criteres d'inclusion. Le sexe masculin etait le plus touche (87,2% L'age moyen a ete de 28 ans. Les cultivateurs et les commercants etaient les principales victimes (71,8% Le traumatisme etait d'origine accidentelle dans 58,9% Le siege le plus frequent des lesions a ete l'appareil locomoteur avec une predominance au membre thoracique. Tous les patients ont beneficie d'un parage des plaies, d'une prophylaxie antitetanique et antibiotique. Les fractures et luxations ont ete traitees orthopediquement dans 10 cas et chirurgicalement dans 5 cas. Sept patients ont ete amputes secondairement. Le taux de mortalite intra hospitaliere etait de 10,3% (n=4)  Les traumatismes balistiques sont peu frequents dans notre centre mais responsables d'une morbi mortalite elevee. Une politique rigoureuse de controle des armes a feu et une meilleure education des populations pourraient reduire l'incidence de ces traumatismes en pratique civile. Mots cles Traumatisme, Arme a feu, Chirurgie, Bobo Dioulasso.  This study was conducted to describe the epidemiology, diagnosis and treatment of gunshot injuries at Souro Sanou University Hospital in Bobo Dioulasso.  This was a retrospective study over 18 months (January 2008 to June 2009) It concerned all patients admitted with a recent gunshot injury. The demographic characteristics, diagnosis and treatment and short term course of patients were noted.  Thirty nine patients were admitted for gunshot injury during the study period. The male was the most affected gender (87.2% The average age was 28 years. Farmers and traders were the most affected (71.8% of cases) The aetiology of trauma was mostly accidental (58.9% The most common injury was musculoskeletal (n 34) with a predominance of upper extremity. We noted 15 cases of fractures and 6 cases of dislocation of member, 2 cases of neurotrauma (brain and spinal cord) and 2 cases of digestive visceral lesions. All patients received debridement of wounds, a tetanus and antibiotic prophylaxis. Fractures and dislocations have benefited from a non surgical treatment in 10 cases and surgery and in 5 cases. Seven patients were amputated secondarily. The mortality rate was 10.3% (n=4)  Gunshot injury are uncommon but serious in our center. A policy of strict control of firearms and better educated populations could reduce the incidence of such injuries in civilian practice.  Bobo Dioulasso, Burkina Faso, Gunshot, Injury, Surgery.
An Assessment of Civic Engagement and Educational Attainment. Fact Sheet.
Year: 2007

It is well documented that individuals with higher levels of education tend to be more civically engaged. 2 In a two part study conducted for the Center for Information and Research on Civic Learning and Engagement (CIRCLE) 3 we provide empirical evidence using 1988 2000 panel data from the National Education Longitudinal Study of 1988 (NELS) 4 that civic engagement might also promote educational attainment: civically engaged teenagers make greater scholastic progress during high school and subsequently acquire higher levels of education than their otherwise similar peers. Our first essay provides supporting empirical evidence for this relationship in general, and the second essay broadens these findings across gender and race/ethnicity. With regards to policy relevance, the primary results point to the importance of civic participation as one means to foster both social and human capital investments. The purpose of this fact sheet is to provide highlights from our two part study. The empirical analyses of the relationship between civic engagement and scholastic progress, based on an education production function framework, 5 are discussed in detail in the first essay. Table 1 includes selected results from both essays of particular interest. Community service performed to meet course requirements or on a strictly voluntary basis had a positive and statistically significant effect on scholastic progress during high school. For example, on average course required community service enhanced scholastic progress by 3.3 percent (in history) to 6.7 percent (in reading) Moreover, in each subject, community service conducted for classes related to higher average gains among male teenagers than females. The scholastic returns from voluntary community service were also greater for male students than for females. Table 1 further indicates that being involved in student government during high school raised the scholastic progress of young women by 1.1 to 1.7 percentage points in history, mathematics, and science; with the exception of history, however, it did not have a significant effect for young men. It appears that the average scholastic returns from civic engagement activities during high school are not gender neutral. Other findings presented in the second essay suggest that community service conducted for classes had similar effects on the academic progress made by minority versus non Hispanic white students of the same gender. As such, high school coursework that includes a service learning component does not appear to give a particular racial/ethnic group an advantage with respect to
Prevalence of depression and anxiety among patients with epilepsy attending the epilepsy clinic at Sheikh Khalifa Medical City, UAE: A cross sectional study
Venue: Epilepsy Behavior
Year: 2015

Depression and anxiety are highly prevalent in patients with epilepsy (PWE) with prevalence rates ranging from 20% to 55% Unfortunately, the rates, patterns, and risk factors have not been well studied in the Middle East and, to our knowledge, have not been studied at all in the UAE. We screened 186 patients attending an epilepsy clinic using standardized screening tools to determine the rates of both depression and anxiety and compared these rates with that of age and sex matched controls. Almost one third of our patients scored in the depression and anxiety ranges, which was significantly higher compared with the age and sex matched controls. Using a multiregression model, none of the studied variables were associated with an increased risk of having either disorder. Depression or anxiety symptoms independently and significantly increased the risk of association with the other disorder. Almost two thirds of patients with depression and anxiety were not prescribed antidepressant or antianxiety medications.