nils-herrmann/clean_scirepeval huggingface dataset:
Innovative digital marketing trends 2016
Venue: 2016 International Conference on Electrical, Electronics, and Optimization Techniques (ICEEOT)

At the start of each year, there is always a lot of interest in predictions for the year ahead and the latest marketing trends. "What's Hot?" and "What's next?" are always the most common questions. Marketing is at the core of all business activities. Without marketing, organizations cannot sell and without sales there is no revenue and without revenue people cannot run business. The Digital marketing is a very diverse marketing platform used by most business for marketing all types of products and services. Digital marketing includes social marketing, word ads, banner ads, video advertisement etc. At this juncture, forecasting, analyzing and implementing the innovative digital marketing trends 2016 would be the right choice for success of any business amid the cut throat competition.
The "Social Side" of Public Policy: Monitoring Online Public Opinion and Its Mobilization During the Policy Cycle

This article addresses the potential role played by social media analysis in promoting interaction between politicians, bureaucrats, and citizens. We show that in a "Big Data" world, the comments posted online by social media users can profitably be used to extract meaningful information, which can support the action of policymakers along the policy cycle. We analyze Twitter data through the technique of Supervised Aggregated Sentiment Analysis. We develop two case studies related to the "jobs act" labor market reform and the "#labuonascuola" school reform, both formulated and implemented by the Italian Renzi cabinet in 2014 15. Our results demonstrate that social media data can help policymakers to rate the available policy alternatives according to citizens' preferences during the formulation phase of a public policy; can help them to monitor citizens' opinions during the implementation phase; and capture stakeholders' mobilization and de mobilization processes. We argue that, although social media analysis cannot replace other research methods, it provides a fast and cheap stream of information that can supplement traditional analyses, enhancing responsiveness and institutional learning.
Cavity correlation and bridge functions at high density and near the critical point: a test of second order Percus Yevick theory

Cavity correlation functions, pair correlation functions, and bridge functions for the Lennard Jones fluid are calculated from first Percus Yevick (PY) theory and second order Percus Yevick (PY2) theory, molecular dynamics, and grand canonical Monte Carlo techniques. We find that the PY2 theory is significantly more accurate than the PY theory, especially at high density and near the critical point. The pair correlation function near the critical point has the expected slowly decaying long range behaviour. However, we do not observe any long range behaviour in the bridge function for the state points near the critical point we have simulated. However, we do note that the bridge function, which is usually negative near r 0, becomes positive as r 0. This behaviour is seen for the bridge functions computed from both PY2 and molecular dynamics, but not from PY.
Analytical representation of the density derivative of the Percus Yevick hard sphere radial distribution function

Explicit analytical expressions are presented for the density derivative, gHS(R; r)/r, of the Percus Yevick approximation to the hard sphere radial distribution function for R 6s, where s is the hard sphere diameter and r (N/V)s3 is the reduced density, where N is the number of particles and V is the volume. A FORTRAN program is provided for the implementation of these for R 6s, which includes code for the calculation of gHS(R; r) itself over this range. We also present and incorporate within the program code convenient analytical expressions for the numerical extrapolation of both quantities past R 6s. Our expressions are numerically tested against exact results.
Exact Solution of the Percus Yevick Approximation for Hard Spheres .and Beyond

One of the milestones of the statistical mechanical theory of liquids in equilibrium was the exact analytical solution of the Percus Yevick integral equation for three dimensional hard spheres by, independently, Wertheim and Thiele in 1963. The solution was later extended to mixtures, hard hyperspheres in odd dimensions, and sticky hard spheres. This chapter presents some of those solutions within the framework of the rational function approximation, which lends itself to generalizations beyond the Percus Yevick approximation.
X ray computed tomography for additive manufacturing: a review

In this review, the use of x ray computed tomography (XCT) is examined, identifying the requirement for volumetric dimensional measurements in industrial verification of additively manufactured (AM) parts. The XCT technology and AM processes are summarised, and their historical use is documented. The use of XCT and AM as tools for medical reverse engineering is discussed, and the transition of XCT from a tool used solely for imaging to a vital metrological instrument is documented. The current states of the combined technologies are then examined in detail, separated into porosity measurements and general dimensional measurements. In the conclusions of this review, the limitation of resolution on improvement of porosity measurements and the lack of research regarding the measurement of surface texture are identified as the primary barriers to ongoing adoption of XCT in AM. The limitations of both AM and XCT regarding slow speeds and high costs, when compared to other manufacturing and measurement techniques, are also noted as general barriers to continued adoption of XCT and AM.
Extrapolation of an Optimal Policy using Statistical Probabilistic Model Checking
Venue: CS&P

We show how to extrapolate an optimal policy controlling a model, which is itself too large to find the policy directly using probabilistic model checking (PMC) In particular, we look for a global optimal resolution of non determinism in several small Markov Decision Processes (MDP) using PMC. We then use the resolution to find a respective set of decision boundaries representing the optimal policies found. Then, a hypothesis is formed on an extrapolation of these boundaries to an equivalent boundary in a large MDP. The resulting hypothetical extrapolated decision boundary is statistically approximately verified, whether it indeed represents an optimal policy for the large MDP. The verification either weakens or strengthens the hypothesis. The criterion of the optimality of the policy can be expressed in any modal logic that includes the probabilistic operator P~p[ and for which a PMC method exists.
STUDY ON MECHANICAL PROPERTIES OF RED MUD AS A PARTIAL REPLACEMENT OF CEMENT WITH HYDRATED LIME FOR M40 GRADE CONCRETE WITH SUPERPLASTICISER

Now construction industry is full advanced due to which within short period of time tremendous increase in the utilization of cement and concrete for various construction activities. It is expected that the same rate will continued in the next decade and this may cause effects to the environment. Availability of raw material required for manufacturing of cement and production of concrete are less and require more energy for production. This increased demand cause fast depletion in resources. To overcome this situation it is very important to utilize the industrial waste materials and by products for the manufacture of cement and in concrete construction. Here in this work by considering the cementations behaviour of red mud, an experiment was carried out to replace the Portland Cement by red mud and hydrated lime in different grades of concrete for variable percentages and there effects on the strength of the concrete. Here an attempt has been made to produce different grades of concrete using huge industrial waste such as red mud as a partial replacement of cement with the hydrated lime. This project presents the results of investigation on production of concrete members using a combination of materials which predominantly includes red mud and lime. The present study is mainly focused on the compressive strength, split tensile strength, flexural strength properties of concrete, which are the important parameters to be studied in concrete production of different proportion of raw materials. However, when used in combination with 30% red mud, cement and 5% lime the composites shows significant compressive strength of 50.05 N/mm2for M40 grade of concrete. Tensile strength of.98 N/mm2for M40 grade of concrete. Selected combinations of mixes were later used to produce beam of size 500 x 100 x 100mm. These beams are tested for flexural strength of results 3.29 N/mm2for M40 grade of concrete.
A case of primary pulmonary NK/T cell lymphoma presenting as pneumonia
Venue: Respiratory medicine case reports

Primary pulmonary lymphoma, particularly non B cell lymphomas involving lung parenchyma, is very rare. A 46 year old male was admitted to the hospital with fever and cough. Chest X ray showed left lower lobe consolidation, which was considered pneumonia. However, because the patient showed no response to empirical antibiotic therapy, bronchoscopic biopsy was performed for proper diagnosis. The biopsied specimen showed infiltrated atypical lymphocytes with angiocentric appearance. On immunohistochemical staining, these atypical cells were positive for CD3, CD30, CD56, MUM 1, and granzyme B, and labeled for Epstein Barr virus encoded RNA in situ hybridization. These findings were consistent with NK/T cell lymphoma. We report on a case of primary pulmonary NK/T cell lymphoma presenting as pneumonic symptoms and review the literature on the subject.
Traffic sign recognition using hybrid features descriptor and artificial neural network classifier
Venue: 2016 19th International Conference on Computer and Information Technology (ICCIT)

Traffic Sign Recognition (TSR) system is a significant component of Intelligent Transport System (ITS) as traffic signs assist the drivers to drive more safely and efficiently. This paper represents a new approach for TSR system using hybrid features formed by two robust features descriptors, named Histogram Oriented Gradient(HOG) features and Speeded Up Robust Features(SURF) and artificial neural network (ANN) classifier. In the detection step, the region of interest (sign area) is segmented using color based thresholding algorithm, post processed to filter the unwanted region. Next robust features vector named Distance to Borders (DtBs) of the segmented blob is formed to verify the shape of the traffic sign. Finally the recognition of the traffic sign is implemented using ANN classifier upon the training of hybrid features descriptor. The proposed system simulated on offline road scene images shows a high classification rate in the recognition stage. The performance of the ANN model is illustrated in terms of cross entropy, confusion matrix and receiver operating characteristic (ROC) curves. In addition, the performance of hybrid feature descriptor is compared with recognition based on HOG and SURF descriptor respectively. Also, performances of some classifier such as Support Vector Machine (SVM) Decision Trees, Ensembles Learners (Adaboost) and K Nearest Neighbor (KNN) classifier are assessed with ANN approach. The simulation results illustrates that recognition using hybrid feature descriptor outperforms in all classifier and the recognition accuracy of ANN is higher than classifier stated above.
Traffic Sign Recognition using SURF: Speeded up robust feature descriptor and artificial neural network classifier
Venue: 2016 9th International Conference on Electrical and Computer Engineering (ICECE)

Traffic Sign Recognition (TSR) system is a vital component of intelligent transport system. It plays an important role by enhancing the safety of the drivers, pedestrians and vehicles as traffic signs provide important information of the traffic environment of the road and assist the drivers to drive more safely and easily by guiding and warning. This paper represents road sign detection and recognition system based on speeded up robust feature (SURF) descriptor that is invariant to rotation, skew and occlusion of the sign and artificial neural network (ANN) classifier. The proposed system consists of three steps. In the first step the road scene image is segmented using color based thresholding algorithm followed by some post processing like morphological analysis and filtering using region properties to extract the road sign as a blob of region. Next, shape verification is carried out by using translation, scaling and rotation invariant features vector named Distance to Borders (DtBs) of the segmented blob. Finally the recognition of the traffic sign is implemented using ANN classifier with the training of SURF descriptor. The proposed system simulated on offline road scene images shows a high success rate in the recognition stage. The performance of the classifier is illustrated in terms of cross entropy, confusion matrix and receiver operating characteristic (ROC) curve.
A holistic model of conflicts in a multicultural urban congregation in Britain: towards a comprehensive and systematic approach

This study investigates conflicts in a multicultural congregation in an urban area in the U.K. Although diverse types of conflict occur in the research field, there is no theoretical framework to analyse and interpret them from a combined range of perspectives that could produce a comprehensive account of conflict. Furthermore, there is no systematic method to classify the various types of conflict and to employ appropriate approaches to deal with them effectively. This research uses an ethnographical methodology not only to provide a thick description of conflict in the research field, but also to develop an original analytical tool for categorizing the multidimensionality of conflicts and to propose practical suggestions as application. For a comprehensive understanding of conflict, I used a multidisciplinary perspective synthesizing a sociological and theological approach to conflict in order to analyse and interpret not only people's social and cultural beliefs and behaviours, but also the structural and contextual issues in the organization. I also used a multidimensional perspective to analyse and interpret multifactorial and multifaceted conflicts in order to provide a more profound explanation of the dynamics of conflict phenomena. For practical application, I established a typology as an analytical process to classify diverse conflict types according to their scales, intensity and nature. I also created a systematic formulation to suggest the most effective conflict approach and its strategies to a particular conflict type. The significant contribution of this research is to establish a holistic model which provides not only rich details of ethnographic stories for a comprehensive understanding of conflict, but also a practical demonstration from analysing conflicts to handling them for peace making, peace keeping and peacebuilding in a multicultural congregational setting. This thesis is generalizable to similar multicultural Christian congregational settings in urban areas in the UK as it offers theoretically informed professional practice as well as a theoretical framework to analyse and interpret diverse conflicts in multicultural congregations.
Towards a more Circular Economy: Proposing a framework linking sustainable public procurement and sustainable business models

Sustainability aims at addressing environmental and socio economic issues in the long term. In general, the literature on sustainability has focused mainly on the environmental issues, whereas, more recently, a Circular Economy has been proposed as one of the latest concepts for addressing both the environmental and socio economic issues. A Circular Economy aims at transforming waste into resources and on bridging production and consumption activities; however, there is still limited research focusing on these aspects. This paper addresses the link between procurement and supply practices, and proposes changing from a traditional public procurement process, based on product selling business models, to a more service oriented system. The paper proposes a framework to include technical and non technical specifications of product/service combinations that improve resource usage efficiency through recovery. The framework also considers socio cultural specifications and physical and social proximity between the stakeholders in the procurement process. The framework is based on collaboration, which is a vital link between the public procurement process and the development of more sustainable business models, where the experience gained in the collaboration process serves as the bases for suppliers and procurers in improving their contribution to CE, whilst at the same time securing economic benefits for both parties. Although, in this process, the specification setting may take longer, the relationships between procurer and supplier tend to be longer lasting and stronger. This research shows that collaboration between procurers and suppliers throughout the procurement process can lead to reductions in raw material utilisation and waste generation, whilst promoting the development of new, more sustainable, business models.
Motivations for choosing various food groups based on individual foods
Venue: Appetite

Understanding "why people eat what they eat" is important for improving the lives of people around the world by helping provide industrial and social solutions for people to have greater pleasure and health from the foods they choose. The objective of this study was to investigate the motivations behind everyday choices of different food groups using a bottom up approach that targeted the specific choices of foods and beverages people consumed at various times of a day. This study was conducted using an online survey included questions related to demographics, the most recent meal including specific food choices, and a slightly modified Eating Motivation Surveys (2 motivations were added, and Check All That Apply procedure was used) which contained 50 sub scales to measure 17 motivations including such topics as Liking, Pleasure, Convenience, Health, Price, Variety Seeking etc. A total of 198 participants have completed the surveys. Data were analyzed by Correspondence Analysis. Liking was found to be the strongest motivation that drove people to select all sorts of foods. Need and Hunger and Convenience were the main motivations for baked products, "fast" foods, sausages and meats, and snack foods while Health and Weight Control were found to be the main driving factors for vegetables, fruits fruit juices, nuts, seeds, dairy egg, and poultry products. Sweets were linked to Pleasure. For beverages, people were motivated most by Heath and Weight Control to choose water and tea. Coffee was used due to Habits; soda was because of Pleasure and alcoholic was for socialization purposes. This study provided developers, marketers, health educators, etc. With a new method to understand food choice in order to promote better eating.
Incidence and prevalence of elite male cricket injuries using updated consensus definitions
Venue: Open access journal of sports medicine

(Twenty20 or 20 over) cricket has emerged in the last decade as the most popular form of cricket (in terms of spectator attendances) International consensus cricket definitions, first published in 2005, were updated in 2016 to better reflect the rise to prominence of T20 cricket.  Injury incidence and prevalence rates were calculated using the new international methods and units for elite senior male Australian cricketers over the past decade (season 2006 2007 to season 2015 2016 inclusive) Results Over the past 10 seasons, average match injury incidence, for match time loss injuries, was 155 injuries/1,000 days of play, with the highest daily rates in 50 over cricket, followed by 20 over cricket and First Class matches. Annual injury incidence was 64 injuries/100 players per season, and average annual injury prevalence was 12.5% (although fast bowlers averaged 20.6% much higher than other positions) The most common injury was the hamstring strain (seasonal incidence 8.7 injuries/100 players per season) The most prevalent injury was lumbar stress fractures (1.9% of players unavailable at all times owing to these injuries, which represents 15% of all missed playing time)  The hamstring strain has emerged from being one of the many common injuries in elite cricket a decade ago to being clearly the most common injury in the sport at the elite level. This is presumably in association with increased T20 cricket. Lumbar stress fractures in fast bowlers are still the most prevalent injury in the sport of cricket at the elite level, although these injuries are more associated with high workloads arising from the longer forms of the game. Domestic and international matches have very similar match injury incidence rates across the formats, but injury prevalence is higher in international players as they play for most of the year without a substantial off season.
UJI AKTIVITAS ANTIBAKTERI EKSTRAK DAUN KELOR (Moringa oleifera L. TERHADAP BAKTERI Escherichia coli DAN Staphylococcus aureus

UJI AKTIVITAS ANTIBAKTERI EKSTRAK DAUN KELOR Moringa oleifera L. TERHADAP BAKTERI Escherichia coli DAN Staphylococcus aureus Lusi L.R.H Dima 1) Fatimawali 1) Widya Astuty Lolo 1) 1)   Plants are sources of various types of chemical compounds are efficacious drugs, one of which is an anti infective. This study aims to determine wheter moringa leaf extract contain antibacterial activity and to find out the minimum inhibitory concentration of moringa leaf extract against E.coli and S.aureus. The method used is agar diffusion method. As a result, it is found that the extract of Moringa leaves (Moringa oleifera L. have antibacterial activity against E.coli and S. aureus at concentrations of 5% 10% 20% 40% and 80% respectively. Minimum Inhibitory Concentration (MIC) obtained were 13 mm against E. coli and 12 mm against S. aureus. Differences in the concentration of Moringa leaves (Moringa oleifera L. extract affect the growth of the bacteria E. coli and S. aureus, where the higher concentration given, the greater the antibacterial activity of inhibiting the growth of bacteria.  Moringa oleifera, antibacterial activity, inhibition zone measurement. ABSTRAK Tumbuhan merupakan sumber berbagai jenis senyawa kimia yang berkhasiat obat yang salah satunya ialah sebagai antiinfeksi. Penelitian ini bertujuan untuk mengetahui apakah daun kelor Moringa oleifera L. memiliki aktivitas antibakteri dan mengetahui berapa kadar hambat minimum dari ekstrak daun kelor terhadap bakteri Escherichia coli dan Staphylococcus aureus Metode yang digunakanya itu metode difusi agar. Dari hasil penelitian yang dilakukan diketahui bahwa ekstrak daun kelor mempunyai aktivitas antibakteri terhadap Escherichia coli dan Stapylococcus aureus pada konsentrasi 5% 10% 20% 40% dan 80 dan Kadar Hambat minimum (KHM) yang didapat yaitu 13 mm pada bakteri Escherichia coli dan 12 mm pada bakteri Stapylococcus aureus. Perbedaan konsentrasi ekstrak daun kelor mempengaruhi penghambatan pertumbuhan bakteri Escherichia coli dan Stapylococcus aureus dimana semakin tinggi konsentrasi yang diberikan maka semakin besar pula aktivitas antibakteri penghambatan pertumbuhan bakteri. Kata kunci tanamankelor Moringa oleifera L. aktivitas antibakteri, pengukuran zona hambat