LLukas22/scidocs huggingface dataset:
Dengue disease prediction using weka data mining tool

Dengue is a life threatening disease prevalent in several developed as well as developing countries like India. This is a virus born disease caused by breeding of Aedes mosquito. Datasets that are available for dengue describe information about the patients suffering with dengue disease and without dengue disease along with their symptoms like: Fever Temperature, WBC, Platelets, Severe Headache, Vomiting, Metallic Taste, Joint Pain, Appetite, Diarrhea, Hematocrit, Hemoglobin, and how many days suffer in different city. In this paper we discuss various algorithm approaches of data mining that have been utilized for dengue disease prediction. Data mining is a well known technique used by health organizations for classification of diseases such as dengue, diabetes and cancer in bioinformatics research. In the proposed approach we have used WEKA with 10 cross validation to evaluate data and compare results. Weka has an extensive collection of different machine learning and data mining algorithms. In this paper we have firstly classified the dengue data set and then compared the different data mining techniques in weka through Explorer, knowledge flow and Experimenter interfaces. Furthermore in order to validate our approach we have used a dengue dataset with 108 instances but weka used 99 rows and 18 attributes to determine the prediction of disease and their accuracy using classifications of different algorithms to find out the best performance. The main objective of this paper is to classify data and assist the users in extracting useful information from data and easily identify a suitable algorithm for accurate predictive model from it. From the findings of this paper it can be concluded that Naïve Bayes and J48 are the best performance algorithms for classified accuracy because they achieved maximum accuracy= 100% with 99 correctly classified instances, maximum ROC = 1 , had least mean absolute error and it took minimum time for building this model through Explorer and Knowledge flow results.
The influence of the thymic environment on the CD4-versus-CD8 T lineage decision

T cell receptor signaling is an essential factor regulating thymocyte selection, but the function of the thymic environment in this process is not clear. In mice transgenic for major histocompatibility complex class II–restricted T cell receptors, every thymocyte is potentially selectable for maturation in the CD4 lineage. To address whether selection frequency affects positive selection, we created hematopoietic chimeras with mixtures of selectable and nonselectable precursors. With increased proportions of nonselectable thymocytes, positive selection of MHC class II–specific precursors was enhanced, generating not only CD4 but also CD8 thymocytes. These results indicate that the CD4 versus CD8 fate of selectable precursors can be influenced by the selection potential of its neighbors.
A Computational Definition of the Notion of Vectorial Space

We usually define an algebraic structure by a set, some operations defined on this set and some propositions that the algebraic structure must validate. In some cases, we can replace these propositions by an algorithm on terms constructed upon these operations that the algebraic structure must validate. We show in this note that this is the case for the notions of vectorial space and bilinear operation. KEYWORDS: Rewrite system, vector space, bilinear operation, tensorial product, semantics, quantum programming languages, probabilistic programming languages.
Human glioma cell culture: two FCS-free media could be recommended for clinical use in immunotherapy

Immunotherapy, particularly active vaccination, may be developed as an effective and safe treatment modality for malignant gliomas, which continue to have a poor prognosis, despite advances in surgical techniques and adjuvant chemotherapy and radiotherapy. Since no glioma-specific tumor-associated antigens (TAAs) have been discovered, autologous tumor cells or well-established glioma cell lines could be used in future vaccination protocols to induce antitumour immunity against unknown TAAs. One obstacle for clinical use of these tumour cell vaccines is related to foetal calf serum (FCS). Efforts are currently being directed toward developing FCS-free media and serum-free alternatives to culture these cell vaccines. In this study, a medium containing human serum and one serum-free medium (UltraCulture), supplemented or not with epidermal growth factor, were tested on morphology, survival, DNA content and TAA expression of human glioma cell lines and glioma biopsy primary cultures. Their effects were compared on FCS-containing medium. Results show that, whatever the medium used, no significant variations in morphology and survival were observed. Furthermore, human serum-containing medium or UltraCulture preserved at early passage cultures the cell population of interest present in the biopsies before culture. In addition, the expression profile of eight TAAs was similar between these media. These data indicate that human serum-containing medium and UltraCulture serum-free medium could be promising candidates to produce tumour-cell vaccines.
IMPLEMENTATION OF COMBINATIONAL CIRCUITS USING TERNARY MULTIPLEXER

IJCER | Mar-Apr 2012 | Vol. 2 | Issue No.2 |457-463 Page 457 Abstract This is the paper presenting a novel method for defining, analyzing and implementing the basic combinational circuitry with less number of ternary multiplexers. Multilplexer is used as basic building block to realize all the combinational and sequential circuitry providing complete, concise, implementation-free description of the ternary function involved. This shows the potential of VHDL modeling and simulation which can be applied to Ternary switching circuits for verifying its functionality and timing specifications. This is the method which is used in analyzing the complex ternary functions and reduction of gate count Keyword:Gate count, Multivalued logic, Reabilityunreability model ,VHDL, Ternary switching levels.
Combining Radar and Rain Gauge Rainfall Estimates for Flood Forecasting Using Conditional Merging Method

Radar rainfall estimates are increasingly applied to flood applications. Early warning with the use of radar rainfall estimates and hydrologic models is crucial for minimizing flood and flash flood-related hazard. The strength of radar rainfall data, the ability to capture spatial rainfall information, is the weakness of rain gauge data and the weakness of radar rainfall data, inability to accurately capture rainfall amounts at a single location, is the strength of rain gauges. Therefore By merging the two datasets, the result is gauge adjusted radar rainfall data, a dataset that maintains volume accuracy at the gauge locations while retaining spatial information from Radar. The main idea of gauge adjustment is combine the individual strengths of the to measurement systems. In this paper describes a short overview over the gauge adjustment methods applied in operational fields. And the technique employed is a conditional merging technique(CM). To evaluate the this method, statistics and hyetograph for rain gauges and radar rainfalls are compared using hourly radar rainfall data from the Imjin-river, Gangwha, rainfall radar site. Results show that rainfall field estimated by Condional Merging method give the best results in a statistics and qualitative way. Keyword: Radar, Radar rainfall, Conditional merging, Gauge rainfall, Flood forecating World Environmental and Water Resources Congress 2007: Restoring Our Natural Habitat © 2007 ASCE
Imagination and the Contemporary Novel

1. Introduction: globalization, imagination, and the novel 2. Aesthetic revolutions: white South African writing and the state of emergency 3. The pastoral and the postmodern 4. Hybridity, enterprise culture, and the fiction of multicultural Britain 5. Ghosts of essentialism: racial memory as epistemological claim 6. Amitav Ghosh and the aesthetic turn in postcolonial studies Conclusion Works cited.
Selecting Indicators for the Quality of Mental Health Care at the Health Systems Level in OECD Countries

This series is designed to make available to a wider readership methodological studies and statistical analysis presenting and interpreting new data sources, and empirical results and developments in methodology on measuring and assessing health care and health expenditure. The papers are generally available only in their original language – English or French – with a summary in the other. The opinions expressed and arguments employed here are the responsibility of the author(s) and do not necessarily reflect those of the OECD Brief biographies of the chair and Panel members can be found in Anenx 2. The authors would like to thank Peter Hussey and Jeff Chan for their contributions to the indicator selection process, Elizabeth Cote and Leighna Kim for providing research support and Victoria Braithwaite and Orla Kilcullen for their help in preparing this manuscript. The comments of the members of OECD Expert Group on the Health Care Indicators Project and the Ad Hoc Group on the OECD Health Project on an earlier version of this manuscript are greatly appreciated. The authors would also like to thank The views presented here are those of the authors and not necessarily those of the Commonwealth Fund, its director, officers or staff. DELSA/ELSA/WD/HTP(2004)17 4 SUMMARY 1. This report presents the consensus recommendations of an international expert panel on indicators for mental health care. Using a structured review process, the panel selected a set of 12 indicators to cover the four key areas treatment, continuity of care, coordination of care, and patient outcomes. The report describes the review process and provides a detailed discussion of the scientific soundness and policy importance of the 12 indicators as follows: Area Indicator Name Timely ambulatory follow-up after mental health hospitalisation Continuity of visits after hospitalisation for dual psychiatric/ substance related conditions Racial/ethnic disparities in mental health follow-up rates Continuity of Care Continuity of visits after mental health-related hospitalisation Coordination of Care Case management for severe psychiatric disorders Visits during acute phase treatment of depression Hospital readmissions for psychiatric patients Length of treatment for substance-related disorders Use of anti-cholinergic anti-depressant drugs among elderly patients Continuous anti-depressant medication treatment in acute phase Treatment Continuous anti-depressant medication treatment in continuation phase Patient Outcomes Mortality for persons with severe psychiatric disorders DELSA/ELSA/WD/HTP(2004)17 5 RESUME 2. Ce rapport présente les recommandations consensuelles d'un groupe d'experts internationaux sur les indicateurs relatifs aux soins de santé mentale. En suivant une méthodologie détaillée, le …
Mortality salience and morality: Thinking about death makes people less utilitarian

According to the dual-process model of moral judgment, utilitarian responses to moral conflict draw on limited cognitive resources. Terror Management Theory, in parallel, postulates that mortality salience mobilizes these resources to suppress thoughts of death out of focal attention. Consequently, we predicted that individuals under mortality salience would be less likely to give utilitarian responses to moral conflicts. Two experiments corroborated this hypothesis. Experiment 1 showed that utilitarian responses to non-lethal harm conflicts were less frequent when participants were reminded of their mortality. Experiment 2 showed that the detrimental effect of mortality salience on utilitarian conflict judgments was comparable to that of an extreme concurrent cognitive load. These findings raise the question of whether private judgment and public debate about controversial moral issues might be shaped by mortality salience effects, since these issues (e.g., assisted suicide) often involve matters of life and death.
Regulating intensity using perceived exertion during extended exercise periods

 The present study was undertaken to examine the validity of using the OMNI scale of perceived exertion to regulate intensity during extended exercise periods. Forty-eight subjects (24 male, 24 female) were recruited and each subject completed a maximal graded exercise test (GXT) and two 20-min submaximal exercises. During the GXT, ratings of perceived exertion (RPE) as well as oxygen uptake (V˙O2) and heart rate (HR) equivalent to 50 and 70% of maximum V˙O2 (V˙O2max) were estimated. During each submaximal exercise, subjects were instructed to produce and maintain a workload equivalent to the RPE estimated at 50 or 70% V˙O2max, and V˙O2 and HR were measured every 5 min throughout the exercise. Of the 48 subjects, 12 (6 male and 6 female) performed both the estimation and production trials on a treadmill (TM/TM), 12 (6 male and 6 female) performed both the estimation and production trials on a cycle ergometer (C/C), 12 (6 male and 6 female) performed the estimation trial on a treadmill and the production trial on a cycle ergometer (TM/C), and 12 (6 male and 6 female) performed the estimation trial on a cycle ergometer and the production trial on a treadmill (C/TM). No differences in V˙O2 between the estimation and any 5 min of the production trial were observed at either intensity in TM/TM and C/C. No differences in HR between the estimation and any 5 min of the production trial were also observed at 50% V˙O2max in TM/TM and at both 50 and 70% V˙O2max in C/C. However, HR was higher at 20th min of the production trial at 70% V˙O2max in TM/TM. Both the V˙O2 and HR were generally lower in TM/C and higher in C/TM. However, these differences diminished when values were normalized using V˙O2max of the same mode that other groups had attained. These data suggest that under both intra- and intermodal conditions, using the OMNI perceived exertion scale is effective not only in establishing the target intensity at the onset of exercise, but also in maintaining the intensity throughout a 20-min exercise session.
Design of Efficient Digital Interpolation Filters for Integer Upsampling

Digital signal interpolation systems can be implemented in a variety of ways. The most basic interpolation system for integer upsampling cascades an expander unit with an interpolation lowpass filter. More complex implementations can cascade multiple expander and low-pass filter pairs. There is also flexibility in the design of interpolation filters. This thesis explores how digital interpolation systems for integer upsampling can be efficiently implemented. Efficiency is measured in terms of the number of multiplications required for each output sample point. The following factors are studied for their effect on system efficiency: the decomposition of an interpolation system into multiple cascaded stages, the use of recursive and nonrecursive interpolation filters, and the use of linear-phase and minimum-phase interpolation filters. In this thesis interpolation systems are designed to test these factors, and their computational costs are calculated. From this data, conclusions are drawn about efficient designs of interpolation systems for integer upsampling. Thesis Supervisor: Alan V. Oppenheim Title: Ford Professor of Engineering
HyPer: Adapting Columnar Main-Memory Data Management for Transactional AND Query Processing

Traditionally, business applications have separated their data into an OLTP data store for high throughput transaction processing and a data warehouse for complex query processing. This separation bears severe maintenance and data consistency disadvantages. Two emerging hardware trends allow the consolidation of the two disparate workloads onto the same database state on one system: the increasing main memory capacities of several terabytes per server and multi-threaded processing based on multicore parallelism. The prevalent data representation of hybrid OLTP&OLAP main memory database systems is columnar in order to achieve best possible query execution performance for OLAP applications. In order to shield the OLTP transaction processing from long-running queries without costly locking/latching, all queries are executed on an arbitrarily recent snapshot of the data. The paper contrasts several snapshotting techniques for columnar data (twin block, versioning) with the hardware-supported shadow paging we employ in the HyPer system. While OLAP-query processing can rely mostly on columnar scans, high OLTP throughput requirements necessitate index techniques for exact match and small range queries. Despite the ever growing capacity, main memory is still a scare resource. Therefore, compressing main memory resident databases is beneficial. The paper will devise techniques that achieve good compression ratios without hurting the mission-critical OLTP throughput by adaptively separating cold (i.e. immutable) data for aggressive compression from the hot (i.e. mutable) working set data that remains uncompressed.
Knowledge, Attitude and Practices (KAP) Survey on Water, Sanitation and Hygiene in Selected Schools in Vhembe District, Limpopo, South Africa

This study assessed the knowledge, attitude and practices (KAP) of learners on issues related to water, sanitation and hygiene in selected schools in Vhembe District, South Africa. The methodology relied on a questionnaire, an inspection of sanitary facilities and discussion with the school authorities. The data was analyzed using the Statistical Package for Social Science. The study revealed that the level of knowledge about waterborne diseases was relatively high (76.7 ± 1.75%), but knowledge on transmission routes was inadequate. The majority of the respondents had no knowledge when it comes to water-based diseases and their prevention (78.4 ± 1.71%).The attitude and practice on hygiene was also found to be high (91.40 ± 1.16%). Some schools from the urban area had proper handwashing facilities, but there was no soap available. The borehole water quality for rural schools appeared clear, but the microbial quality was unknown. The water supply and sanitation facilities were inadequate in rural schools, with no handwashing areas and no sanitary bins for girls. Some schools had toilets with broken doors which did not offer privacy. The only water tap, located at the centre of the school premises, was not enough for the whole school community.
A general condition for collapse results

Abstract In Belegradek et al. (Ann. Pure Appl. Logic 97 (1–3) (1999) 85) the collapse result theorem was proved for locally generic queries over ordered domain with pseudo-finite homogeneity property. In a very interesting paper of Baldwin and Benedikt (Stability theory, permutations of indiscernibles, and embedded finite models, preprint, 1998) the collapse result theorem was proved for locally generic queries over ordered domains without the independence property. It means that over such a domain, order-generic extended queries fail to express more than restricted queries. It was observed by Baldwin and Benedikt (1998) that any theory without the independence property is P -reducible. I prove that, for the P -reducible theories, a version of pseudo-finite homogeneity property holds.
A gravity investigation of the catazonal rock complex at Cabo Ortegal (NW Spain)

Abstract To obtain information about the contact between the isolated complex of Precambrian catazonal rocks of Cabo Ortegal (northwest Spain) and the almost non-metamorphic Paleozoic which surrounds it, a gravity survey has been carried out. The results obtained clearly show that this catazonal complex observed at the surface is part of a massive, deep-rooted structure, which continues to the east beneath the Paleozoic country rocks. Several models are presented that fit the gravity results and which might correspond to acceptable geological interpretations.
Infections, inflammation, and the risk of coronary heart disease.

BACKGROUND
The role of infections and inflammation in the pathophysiology of coronary heart disease is emerging. We studied the independent and joint effects of these 2 components on coronary risk.


METHODS AND RESULTS
We measured baseline levels of C-reactive protein (CRP) and antibodies to adenovirus, enterovirus, cytomegalovirus, and herpes simplex virus as well as to Chlamydia pneumoniae (Cpn) and Helicobacter pylori in 241 subjects who suffered either myocardial infarction or coronary death during the 8.5-year trial in the Helsinki Heart Study, a coronary primary prevention trial. The 241 controls in this nested case-control study were subjects who completed the study without coronary events. Antibody levels to herpes simplex type I (HSV-1) and to Cpn were higher in cases than in controls, whereas the distributions of antibodies to other infectious agents were similar. Mean CRP was higher in cases (4.4 versus 2.0 mg/L; P<0.001), and high CRP increased the risks associated with smoking and with high antimicrobial antibody levels. The odds ratios in subjects with high antibody and high CRP levels were 25.4 (95% CI 2.9-220.3) for HSV-1 and 5.4 (95% CI 2.4-12.4) for Cpn compared with subjects with low antibody levels and low CRP. High antibody levels to either HSV-1 or to Cpn increased the risk independently of the other, and their joint effect was close to additive.


CONCLUSIONS
Two chronic infections, HSV-1 and Cpn, increase the risk of coronary heart disease. The effect is emphasized in subjects with ongoing inflammation, denoted by increased CRP levels.
Depression, anxiety, and stress and their association with khat use: a cross-sectional study among Jazan University students, Saudi Arabia

Background
Depression, anxiety, and stress levels are considered important indicators for mental health. Khat chewing habit is prevalent among all segments of Jazan population in Saudi Arabia. Few studies have been conducted to evaluate depression, anxiety, and stress among Jazan University students, and information about the correlation between khat use and these disorders is scarce. Thus, this study aims to evaluate the prevalence of depression, anxiety, and stress and their correlation with khat chewing and other risk factors among Jazan University students.


Methods
A cross-sectional study was conducted on 642 students from Jazan University. Multistage sampling was used, with probability proportional to size-sampling technique. The Depression, Anxiety, and Stress Scale 21 questionnaire was used to collect the data, which were analyzed using SPSS Version 20.0 software.


Results
Moderate depression was prevalent among 53.6% of the sample, anxiety was found among 65.7%, while 34.3% of the students suffered from stress. Female gender was strongly associated with higher mean scores for symptoms of depression, anxiety, and stress, with P-values <0.05 for all. Moreover, anxiety symptoms scores were statistically associated with grade point average and caffeine consumption. Khat use was statistically associated with higher mean scores of anxiety among males and a higher mean score of depression and anxiety among females.


Conclusion
The results indicate a high rate of symptoms of depression, anxiety, and stress among Jazan University students. Khat use was associated with anxiety, and a higher rate of symptoms of depression, anxiety, and stress was indicated among female students. Therefore, strategy for the prevention and management of depression, anxiety, and stress is highly recommended to minimize the impact of these serious disorders.