nils-herrmann/clean_scirepeval huggingface dataset:
Raw Fish Consuming Behavior Related to Liver Fluke Infection among Populations at Risk of Cholangiocarcinoma in Nakhon Ratchasima Province, Thailand.
Venue: Asian Pacific journal of cancer prevention APJCP

Opisthorchiasis is a health problem in rural communities of Thailand, particularly in the northeast and north regions. Therefore, this study aimed to investigate raw fish consuming behavior related to liver fluke infection among the population at risk for opisthorchiasis and cholangiocarcinoma (CCA) A cross sectional descriptive study was conducted in Meuang Yang district, Nakhon Ratchasima province, northeast Thailand, between June and October 2015. Participants were screened for CCA, and samples who had a high score of CCA risk were purposively selected. A predesigned questionnaire was utilized to collect the data from all participants. X2 test was used for analysis of associations between demographic data and raw fish consumption. The results revealed that participants had past histories of stool examination (33.0% liver fluke infection (21.0% praziquantel use (24.0% raw fish consumption (78.0% relatives family consuming raw fish (73.0% and relatives family with CCA (3.0% Participants consumed several dished related to liver fluke infection, mainly raw fermented fish (13.0% under smoked catfish (5.00% raw pickled fish (4.00% and raw spicy minced fish salad (3.00% The most common types of cyprinoid fish were Barbodes gonionotus (39% Hampala dispar (38% Puntius brevis (37% Cyclocheilichthys armatus (33% Puntioplites proctozysron (32% and Luciosoma bleekeri (30% respectively. Participants had a low level of knowledge (mean=3.79, SD=0.74) moderate attitude (mean=7.31, SD=7.31) and practice (mean=38.64, SD=6.95) regarding liver fluke prevention and control. Demographic variables like age >36 years old; X2 test=17.794, p value=0.001) education (primary school; X2 test=18.952, p value=0.001) marital status (married; X2 test=12.399, p value=0.002) and income <5,000 baht; X2 test=27.757, p value=0.015) were significantly associated with raw fish consumption. This result indicates that the population had risk consumption for liver fluke infection particularly of various cyprinoid fishes that are 2nd intermediate hosts. Therefore, health education is required to improve their behavior.
Survey On Summarization of Tweet Data

Tweet are being created short text message and shared for both users and data analysts .Twitter which receive over 400 million tweets per day has emerged as an invaluable source of news, blogs, opinions and more. our proposed work consists three components tweet stream clustering to cluster tweet using k means cluster algorithm and second tweet cluster vector technique to generate rank summarization using greedy algorithm, therefore requires functionality which significantly diffier from traditional summarization. In general, tweet summarization and third to detect and monitors the summary based and volume based variation to produce timeline automatically from tweet stream. Implementing continuous tweet stream reducing a text document is however not an simple task, since a huge number of tweets are worthless, unrelated and raucous in nature, due to the social nature of tweeting. Further, tweets are strongly correlated with their posted instance and up to the minute tweets tend to arrive at a very fast rate. Efficiency tweet streams are always very big in level, hence the summarization algorithm should be greatly capable; Flexibility it should provide tweet summaries of random moment durations. (3) Topic evolution it should routinely detect sub topic changes and the moments that they happen.
AMiner: Toward Understanding Big Scholar Data
Venue: WSDM

In this talk, I will present a novel academic search and mining system, AMiner, the second generation of the ArnetMiner system. Different from traditional academic search systems that focus on document (paper) search, AMiner aims to provide a systematic modeling approach for researchers (authors) ultimately to gain a deep understanding of the big (heterogeneous) network formed by authors, papers they have published, and venues they published those papers. The system extracts researchers' profiles automatically from the Web and integrates the researcher profiles with publication papers after name disambiguation. For now, the system has collected a big scholar data with more than 130,000,000 researcher profiles and 100,000,000 papers from multiple publication databases. We also developed an approach named COSNET to connect AMiner with several professional social networks such as LinkedIn and VideoLectures, which significantly enriches the metadata of the scholarly data. Based on the integrated big scholar data, we devise a unified topic modeling approach for modeling the different entities (authors, papers, venues) simultaneously and provide a topic level expertise search by leveraging the modeling results. In addition, AMiner offers a set of researcher centered functions including social influence analysis, influence visualization, collaboration recommendation, relationship mining, similarity analysis and community evolution. The system has been put into operation since 2006 and has attracted more than 7,000,000 independent IP accesses from over 200 countries/regions.
El significado de la ciudadania en contextos de desigualdad social: pautas para una educacion incluyente

El presente articulo tiene el proposito de analizar el sentido de la educacion para la ciudadania en la actualidad, tomando en cuenta la desigualdad social existente en la era global. Para ello, se realiza una revision conceptual sobre el significado de la ciudadania en nuestros dias, destacando la necesidad de un cambio de perspectiva para entender este concepto y considerando las transformaciones sociales de las ultimas decadas. Con base en dicha revision, se realiza un analisis documental de algunas experiencias educativas iberoamericanas relevantes A partir de este analisis, se discuten los resultados de dichas experiencias, los elementos clave que propician una ciudadania incluyente.
Preliminary safety assessment of C 8 xylitol monoester and xylitol phosphate esters
Venue: International journal of cosmetic science

Most of the cosmetic compounds with preservative properties available in the market pose some risks concerning safety, such as the possibility of causing sensitization. Due to the fact that there are few options, the proper development of new molecules with this purpose is needed. Xylitol is a natural sugar, and the antimicrobial properties of xylitol derived compounds have already been described in the literature. C 8 xylitol monoester and xylitol phosphate esters may be useful for the development of skincare products. As an initial screen for safety of chemicals, the combination of in silico methods and in vitro testing can aid in prioritizing resources in toxicological investigations while reducing the ethical and monetary costs that are related to animal and human testing. This study was designed to evaluate the safety of C 8 xylitol monoester and xylitol phosphate esters regarding carcinogenicity, mutagenicity, skin and eye irritation/corrosion and sensitization through alternative methods.
Compensation of power amplifier nonlinear distortion in spatial modulation systems
Venue: 2016 IEEE 17th International Workshop on Signal Processing Advances in Wireless Communications (SPAWC)

Power amplifier (PA) nonlinearity plays a crucial role in determining the performance of radio frequency (RF) communication systems. Specifically, PA nonlinearity causes the amplitude phase modulation (APM) constellation points to get distorted, which results in performance degradation. In this paper, we study the effect of PA nonlinearity on the bit error performance of spatial modulation MIMO (SM MIMO) systems. When the PA distortion parameters are perfectly known at the receiver, the optimal detection rule is the one which minimizes the maximum likelihood (ML) cost over the distorted constellation. For the case when the receiver has no knowledge of PA distortion parameters, we propose a receiver compensation technique which involves estimating the points of the distorted APM constellation based on training and performing detection using the estimated constellation. Simulation results show that, for SM MIMO with 16 QAM, the proposed scheme achieves almost the same bit error performance as that achieved using the perfect knowledge of the PA parameters. Also, the proposed scheme is found to perform within 2 4 dB of the performance achieved using an ideal (linear) PA even at low values of input backoff.
Challenges in Implementing the Integrated Community Based Outpatient Therapeutic Program for Severely Malnourished Children in Rural Southern Ethiopia
Venue: Nutrients

Currently, treatment of uncomplicated severe acute malnutrition is managed in the integrated Community based Outpatient Therapeutic Program (C OTP) using ready to use therapeutic foods (RUTFs) The aim of this study was to determine challenges in implementing the critical steps in C OTP and caregivers' perceptions of service provision in southern Ethiopia. A total of 1048 caregivers of children admitted to the OTP and 175 Health Extension Workers (HEWs) from 94 selected health posts were included in the study. Program admission, follow up and exit information was collected from caregivers during home visits. HEWs were interviewed at their respective health posts. Only 46.6% (481/1032) were given the recommended amount of RUTF and 19.3% (196/1015) were given antibiotics on admission. During C OTP participation 34.9% (316/905) had uninterrupted provision of the recommended amount of RUTF. Of the children who left the program, 220/554 (39.7% exited the program in line with the national recommendation. Caregivers (42.9% (394/918) and HEWs (37.1% 62/167) perceive that RUTFs were being sold as a commodity. Inadequate provision and unintended usage of RUTFs, lack of antibiotics and inappropriate exit from the program were major constraints. For successful saving of lives, adequate resources must be allocated, and providers must be trained regularly, and supervised properly.
Supervision Essentials for the Critical Events in Psychotherapy Supervision Model

For the supervisor, this is a choice point. Should he ask Elise more about this client and, if so, should they discuss whether a follow up phone call is necessary or should they discuss what occurred or failed to occur in the intake session that led to the client's decision not to return for therapy? Alternately, should the supervisor focus on Elise, the supervisee, whose hesitancy in disclosing the client's decision suggests some 1
Leibnizian philosophy of history: a conversation

In this interview Marek Tamm asks questions concerning some of the main developments and arguments in Frank Ankersmit's thinking about history, focusing on the Leibnizian dimension of his work. The following topics are discussed: the role of the philosophy of history within the academic philosophy and history writing, the relevance of historicism for contemporary philosophy of history, the distinction between descriptive sentences and representations in history writing, the importance of Leibniz for the future of the philosophy of history, the representational character of Leibniz's substances and the problem of relations in his philosophical system.
Gas Lift Optimization Using Smart Gas Lift Valve

Gas lift is one of the most common forms of artificial lift, particularly for offshore wells because of its relative down hole simplicity, flexibility, reliability, and ability to operate over a large range of rates and occupy very little space at the well head. Presently, petroleum industry is investing in exploration and development fields in offshore locations where oil and gas wells are being drilled thousands of feet below the ocean in high pressure and temperature conditions. Therefore, gas lifted oil wells are capable of failure through gas lift valves which are considered as the heart of the gas lift system for controlling the amount of the gas inside the tubing string. The gas injection rate through gas lift valve must be controlled to be sufficient to obtain and maintain critical flow, also, gas lift valves must be designed not only to allow gas passage through it and prevent oil passage, but also for gas injection into wells to be started and stopped when needed. In this paper, smart gas lift valve has been used to investigate the effect of the valve port size, depth of injection and vertical lift performance on well productivity; all these aspects have been investigated using PROSPER simulator program coupled with experimental data. The results show that by using smart gas lift valve, the gas injection rate can be controlled which leads to improved flow performance.  Effect of gas lift valve port size, effect water cut, and vertical flow performance.
The ethnopharmacological review of medicinal plants in uses hypertension treatment in Iranian complementary medicine

Arterial hypertension is most important diseases in developing countries. This common and asymptomatic disease is curable and can be easily diagnosed, but it may have fatal consequences if left untreated (Leng et al. 1996) Hypertension in adults refers to an increase in systolic blood pressure equal to or more than 140 mm/hg as well as diastolic blood pressure equal to or more than 90mm/Hg separately or together (LloydJones et al. 2005) Some studies show that a great number of factors contribute to the raised blood pressure in hypertensive patients, and their relative roles may differ between individuals. Among the factors that have been intensively studied are salt intake, obesity and insulin resistance, the reninangiotensin system, and the sympathetic nervous system (Beevers et al. 2001) Studies have shown that if hypertension disorder is left untreated, it can cause problems such as heart failure, coronary artery disease, angina, myocardial infarction, development of thrombosis, and cerebral hemorrhage (MacMahon et al. 1990) Hypertension management consists of two Journal of Herbal Drug
Oxygenotherapie humidifiee haut debit quelles applications en reanimation

ResumeL'oxygenotherapie a haut debit nasal (OHDN) est une technique de plus en plus utilisee en reanimation. Les travaux recents suggerent que ses applications peuvent couvrir toutes les phases du sejour en reanimation d'un patient admis pour insuffisance respiratoire aigue. Au cours de l'insuffisance respiratoire aigue hypoxemique, l'OHDN a montre son efficacite dans la reduction de la mortalite en comparaison de son association a la ventilation non invasive ou de l'oxygenotherapie conventionnelle, avec des effets rapides sur la diminution des signes de detresse respiratoire et une meilleure tolerance que ces autres techniques. De meme, chez les patients immunodeprimes, les donnees tres recentes de la litterature medicale plaident pour l'utilisation de l'OHDN en premiere ligne. Il faut cependant prendre en compte les risques potentiellement lies a une intubation tardive et, comme pour la ventilation non invasive, adopter un algorithme predefini de recours a la ventilation invasive. L'OHDN est utilisee au cours des procedures a risque de desaturation, comme la preoxygenation avant intubation, bien que les donnees de la litterature medicale soient discordantes, ou le support au cours des endoscopies bronchiques avec lavage broncho alveolaire. Enfin, son utilite au decours de l'extubation des patients de reanimation est maintenant confirmee, en comparaison de la ventilation non invasive pour les patients les plus fragiles, ou de l'oxygenotherapie conventionnelle pour les patients a moindre risque.Ainsi, on peut envisager l'utilisation de l'OHDN a chaque etape de la prise en charge du patient admis en reanimation pour une insuffisance respiratoire aigue.AbstractHigh flow nasal cannula oxygen therapy (HFNC) is increasingly used in the intensive care unit (ICU) Recent data suggest that its use can encompass all stages of acute respiratory failure during patients' ICU stay. During hypoxemic acute respiratory failure, HFNC has shown its efficacy in reducing mortality compared to its association with noninvasive ventilation or to conventional oxygen therapy alone. HFNC enabled a rapid decrease in respiratory distress signs, and an increased tolerance in comparison with these other techniques. Similarly, in immunocompromised patients, very recent data argues for the use of HFNC as a first step therapy. However, the risks of a potential delay in the intubation should be taken into account. As for non invasive ventilation, a predefined algorithm to switch towards invasive ventilation should be adopted. HFNC is used during procedures at risk for desaturation, such as preoxygenation before intubation, although published data are discordant, or to provide oxygen during fiber optic bronchoscopy with bronchoalveolar lavage. Finally, its usefulness after extubation in ICU patients is now confirmed, compared to noninvasive ventilation for the most severe patients, or conventional oxygen therapy for patients less at risk. Thus, one might now consider using HFNC for each step of the treatment of an acute respiratory failure patient in the ICU.
Data Mining Model for Predicting Student Enrolment in STEM Courses in Higher Education Institutions

Educational data mining is the process of applying data mining tools and techniques to analyze data at educational institutions. In this paper, educational data mining was used to predict enrollment of students in Science, Technology, Engineering and Mathematics (STEM) courses in higher educational institutions. The study examined the extent to which individual, sociodemographic and school level contextual factors help in pre identifying successful and unsuccessful students in enrollment in STEM disciplines in Higher Education Institutions in Kenya. The Cross Industry Standard Process for Data Mining framework was applied to a dataset drawn from the first, second and third year undergraduate female students enrolled in STEM disciplines in one University in Kenya to model student enrollment. Feature selection was used to rank the predictor variables by their importance for further analysis. Various predictive algorithms were evaluated in predicting enrollment of students in STEM courses. Empirical results showed the following: (i) the most important factors separating successful from unsuccessful students are: High School final grade, teacher inspiration, career flexibility, pre university awareness and mathematics grade. (ii) among classification algorithms for prediction, decision tree (CART) was the most successful classifier with an overall percentage of correct classification of 85.2% This paper showcases the importance of Prediction and Classification based data mining algorithms in the field of education and also presents some promising future lines.
Using institutional data to predict student course selections in higher education
Venue: Internet High. Educ.

The ability to predict what university course a student may select has important quality assurance and economic imperatives. The capacity to determine future course load and student interests provides for increased accuracy in the allocation of resources including curriculum and learning support and career counselling services. Prior research in data mining has identified several models that can be applied to predict course selection based on the data residing in institutional information systems. However, these models only aim to predict the total number of students that may potentially enrol in a course. This prior work has not examined the prediction of the course enrolments with respect to the specific academic term and year in which the students will take those courses in the future. Moreover, these prior models operate under the assumption that all data stored within institutional information systems can be directly associated with an individual student's identity. This association with student identity is not always feasible due to government regulations (e.g. student evaluations of teaching and courses) In this paper, we propose an approach for extracting student preferences from sources available in institutional student information systems. The extracted preferences are analysed using the Analytical Hierarchy Process (AHP) to predict student course selection. The AHP based approach was validated on a dataset collected in an undergraduate degree program at a Canadian research intensive university (N 1061) The results demonstrate that the accuracy of the student course predictions was high and equivalent to that of previous data mining approaches using fully identifiable data. The findings suggest that a students' grade point average relative to the grades of the courses they are considering for enrolment was the most important factor in determining future course selections. This finding is consistent with theories of modern counseling psychology that acknowledges self efficacy as a critical factor in career planning.
Assessment of Roof Stability in a Room and Pillar Coal Mine in the U.S. Using Three Dimensional Distinct Element Method

This paper examines the effect of different geological and mining factors on roof stability in underground coal mines by combining field observations, laboratory testing, and numerical modeling. An underground coal mine in western Pennsylvania is selected as a case study mine to investigate the underlying causes of roof falls in this mine. Three dimensional distinct element analyses were performed to evaluate the effect of different parameters, such as the variation of immediate roof rock mass strength properties, variation of discontinuity mechanical properties, orientations and magnitudes of the horizontal in situ stresses, and the size of pillars and excavations on stability of the immediate roof. The research conducted in this paper showed that the bedding planes play an important role on the geo mechanical behavior of roofs in underground excavations. Therefore, an appropriate numerical modeling technique which incorporates the effect of discontinuities should be employed to simulate the realistic behavior of the discontinuous rock masses such as the layered materials in roof strata of the underground coal mines. The three dimensional distinct element method used in this research showed the capability of this technique in capturing the important geo mechanical behavior around underground excavations.
MDF: Magnetic Particle Imaging Data Format

Magnetic particle imaging (MPI) is a tomographic method to determine the spatial distribution of magnetic nanoparticles. In this document a file format for the standardized storage of MPI data is introduced. The aim of the Magnetic Particle Imaging Data Format (MDF) is to provide a coherent way of exchanging MPI data acquired with different MPI scanners worldwide. The focus of the file format is on sequence parameters, raw measurement data, calibration data, and reconstruction data. The format is based on the hierarchical document format (HDF) in version 5 (HDF5)
Post main sequence planetary system evolution
Venue: Royal Society Open Science

The fates of planetary systems provide unassailable insights into their formation and represent rich cross disciplinary dynamical laboratories. Mounting observations of post main sequence planetary systems necessitate a complementary level of theoretical scrutiny. Here, I review the diverse dynamical processes which affect planets, asteroids, comets and pebbles as their parent stars evolve into giant branch, white dwarf and neutron stars. This reference provides a foundation for the interpretation and modelling of currently known systems and upcoming discoveries.