LLukas22/scidocs huggingface dataset:
Adding Data Mining Support to SPARQL Via Statistical Relational Learning Methods

Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We extend this idea to the Semantic Web by introducing our novel SPARQL-ML approach to perform data mining for Semantic Web data. Our approach is based on traditional SPARQL and statistical relational learning methods, such as Relational Probability Trees and Relational Bayesian Classifiers. We analyze our approach thoroughly conducting three sets of experiments on synthetic as well as real-world data sets. Our analytical results show that our approach can be used for any Semantic Web data set to perform instance-based learning and classification. A comparison to kernel methods used in Support Vector Machines shows that our approach is superior in terms of classification accuracy. Adding Data Mining Support to SPARQL via Statistical Relational Learning Methods Christoph Kiefer, Abraham Bernstein, and André Locher Department of Informatics, University of Zurich, Switzerland {kiefer,bernstein}@ifi.uzh.ch, andre@outerlimits.ch Abstract. Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We extend this idea to the Semantic Web by introducing our novel SPARQL-ML approach to perform data mining for Semantic Web data. Our approach is based on traditional SPARQL and statistical relational learning methods, such as Relational Probability Trees and Relational Bayesian Classifiers. We analyze our approach thoroughly conducting three sets of experiments on synthetic as well as real-world data sets. Our analytical results show that our approach can be used for any Semantic Web data set to perform instance-based learning and classification. A comparison to kernel methods used in Support Vector Machines shows that our approach is superior in terms of classification accuracy. Exploiting the complex structure of relational data enables to build better models by taking into account the additional information provided by the links between objects. We extend this idea to the Semantic Web by introducing our novel SPARQL-ML approach to perform data mining for Semantic Web data. Our approach is based on traditional SPARQL and statistical relational learning methods, such as Relational Probability Trees and Relational Bayesian Classifiers. We analyze our approach thoroughly conducting three sets of experiments on synthetic as well as real-world data sets. Our analytical results show that our approach can be used for any Semantic Web data set to perform instance-based learning and classification. A comparison to kernel methods used in Support Vector Machines shows that our approach is superior in terms of classification accuracy.
Patent analysis with text mining for TRIZ

Patent is an important knowledge source for industrial research and product development on account of its innovation and practicability. In TRIZ theory, a product design problem can be considered as one or more Contradictions. But the Contradictions and corresponding Inventive Principles are rather abstract and general. It will be more helpful for innovators to solve the problem if they obtain related examples from published patents that have solved the Contradictions. In order to search the relevant patents according to Contradictions and Inventive Principles automatically, text mining is used to analyze patent documents. In this paper, a computer-aided methodology to classify patents according to Contradictions and Inventive Principles is proposed.
AquaNodes: an underwater sensor network

This paper describes an underwater sensor network with dual communication and support for sensing and mobility. The nodes in the system are connected acoustically for broadcast communication using an acoustic modem we developed. For higher point to point communication speed the nodes are networked optically using custom built optical modems. We describe the hardware details of the underwater sensor node and the communication and networking protocols. Finally, we present and discuss the results from experiments with this system.
Circadian Desynchrony Promotes Metabolic Disruption in a Mouse Model of Shiftwork

Shiftwork is associated with adverse metabolic pathophysiology, and the rising incidence of shiftwork in modern societies is thought to contribute to the worldwide increase in obesity and metabolic syndrome. The underlying mechanisms are largely unknown, but may involve direct physiological effects of nocturnal light exposure, or indirect consequences of perturbed endogenous circadian clocks. This study employs a two-week paradigm in mice to model the early molecular and physiological effects of shiftwork. Two weeks of timed sleep restriction has moderate effects on diurnal activity patterns, feeding behavior, and clock gene regulation in the circadian pacemaker of the suprachiasmatic nucleus. In contrast, microarray analyses reveal global disruption of diurnal liver transcriptome rhythms, enriched for pathways involved in glucose and lipid metabolism and correlating with first indications of altered metabolism. Although altered food timing itself is not sufficient to provoke these effects, stabilizing peripheral clocks by timed food access can restore molecular rhythms and metabolic function under sleep restriction conditions. This study suggests that peripheral circadian desynchrony marks an early event in the metabolic disruption associated with chronic shiftwork. Thus, strengthening the peripheral circadian system by minimizing food intake during night shifts may counteract the adverse physiological consequences frequently observed in human shift workers.
Accelerated Thermal Cycling and Failure Mechanisms for BGA and CSP Assemblies

This paper reviews the accelerated thermal cycling test methods that are currently used by industry to characterize the interconnect reliability of commercial-off-the-shelf (COTS) ball grid array (BGA) and chip scale package (CSP) assemblies. Acceleration induced failure mechanisms varied from conventional surface mount (SM) failures for CSPs. Examples of unrealistic life projections for other CSPs are also presented. The cumulative cycles to failure for ceramic BGA assemblies performed under different conditions, including plots of their two Weibull parameters, are presented. The results are for cycles in the range of -30°C to lOO"C, -55°C to IOO'C, and -55°C to 125°C. Failure mechanisms as well as cycles to failure for thermal shock and thermal cycling conditions in the range of -55°C to 125°C were compared. Projection to other temperature cycling ranges using a modified Coffin-Manson relationship is also presented.
Entity MIB (Version 3)

Status of This Memo This document specifies an Internet standards track protocol for the Internet community, and requests discussion and suggestions for improvements. Please refer to the current edition of the "Internet Official Protocol Standards" (STD 1) for the standardization state and status of this protocol. Distribution of this memo is unlimited. Abstract This memo defines a portion of the Management Information Base (MIB) for use with network management protocols in the Internet community. In particular, it describes managed objects used for managing multiple logical and physical entities managed by a single SNMP agent. This document specifies version 3 of the Entity MIB, which obsoletes version 2 (RFC 2737).
Screw loosening in the Dynesys stabilization system: radiographic evidence and effect on outcomes.

OBJECT
Dynamic stabilization systems are used to stabilize degenerative lumbar spondylosis. Loosening of the pedicle screws in such nonfusion implants is predictable. This retrospective study evaluated the incidence of screw loosening and its effect on clinical outcomes.


METHODS
Charts, radiographic films, and medical records of 71 consecutive patients who underwent decompression using Dynesys dynamic stabilization for 1- or 2-level lumbar spondylosis were reviewed. Radiographic films were evaluated and compared to detect screw loosening. A visual analog scale (VAS) for back pain and the Oswestry Disability Index (ODI) were used for measuring clinical outcome. Statistical analysis was conducted using the chi-square test and Student t-test.


RESULTS
The 71 patients in the study sample had a mean age of 59.2 +/- 11.65 years (range 23-80 years), with slight female predominance (39 women, 32 men). The mean follow-up duration was 16.6 months (range 8-29 months). There were loose screws in 14 of 71 patients (19.7%), for a rate of 4.6% per screw (17 of 368 screws). Most screw loosening occurred in patients >/= 55 years old (13 of 14 patients) although age and sex had no effect on screw loosening (p = 0.233 and 0.109, respectively). Both the loose screw and solid screw groups experienced significant improvement after the surgery in VAS and ODI scores. On the VAS, scores improved from 5.9 +/- 2.99 to 2.1 +/- 2.14 in the loose screw group (p = 0.003), and from 5.7 +/- 3.45 to 2.9 +/- 2.68 in the solid screw group (p < 0.001). For the ODI scale, scores improved from 43.5 +/- 16.78% to 28.0 +/- 18.18% (p = 0.006) in the loose screw group, and from 52.1 +/- 20.92% to 24.6 +/- 19.78% (p < 0.001) in the solid screw group. There were no significant differences between the 2 groups (p = 0.334 for VAS, p = 0.567 for ODI).


CONCLUSIONS
The preliminary study of this pedicle-based dynamic stabilization device for 1- and 2-level lumbar spondylosis shows radiographic evidence of screw loosening in 19.7% of patients and 4.6% of screws. Nonetheless, the loosening of screws has no adverse effect on clinical improvement.
Knowledge, Attitude and Practices about Blood Donation among Undergraduate Medical Students in Karachi

Background: Blood donation is a major concern to the society as donated blood is lifesaving for individuals who need it. In Pakistan, the concept of voluntary blood donors is almost non-existent due to the absence of blood donor motivation and retention strategies. The healthy, active and receptive huge student population can be potential blood donor to meet the safe blood requirements. The objective of this study was to determine the knowledge, attitude and practices about blood donation among undergraduate medical students in Karachi. Methods: A cross sectional study was conducted in two public and one private medical college in Karachi from January to March 2012. A total of 600 medical students were interviewed with the help of structured questionnaire. Data analysis was performed in SPSS version 19. Multiple regressions were used to examine the effect of different independent variables on a single dependent variable to test the statistical significance at 95% confidence level. Results: The majority of participants (92%) had appropriate knowledge regarding the various aspects of blood donation. Attitude domain showed that around 42% of students were positive about blood donation. Around 50% of students showed willingness to donate blood. After adjusting for potential confounders, male gender was associated with appropriate knowledge, positive attitude and willingness for blood donation when compared against female gender. Conclusion: Good knowledge about blood donation practices is not transforming in donating blood. Interactive awareness sessions on blood donation should be organized during undergraduate years and opportunities for blood donation should be created for the students, which can greatly enhance the movement for “voluntary non-remunerated blood donation”, to ensure good quality of blood and safe modern medical care. *Corresponding author: Zeeshan Ahmed, Department of Community Medicine, Dow University of Health Sciences, Karachi, Pakistan, Tel: +92-3232679255; E-mail: zeeshan.ahmed@duhs.edu.pk Received February 03, 2014; Accepted March 25, 2014; Published March 29, 2014 Citation: Ahmed Z, Zafar M, Khan AA, Anjum MU, Siddique MA (2014) Knowledge, Attitude and Practices about Blood Donation among Undergraduate Medical Students in Karachi. J Infect Dis Ther 2: 134. doi:10.4172/2332-0877.1000134 Copyright: © 2014 Ahmed Z, et al. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.
Seeking the Pareto front for multiobjective spatial optimization problems

B. HUANG*?, P. FERYS, L. XUES and Y. WANGT[ ?Department of Geography and Resource Management, The Chinese University of Hong Kong, Shatin, NT, Hong Kong SDepartment of Civil Engineering, National University of Singapore, Singapore §Institute of Remote Sensing and Geographic Information Systems, Peking University, Beijing, PR China TInstitute of Geographical Sciences and Nature Resources Research, Chinese Academy of Sciences, Beijing, PR China
Severe asthma features in children: a case–control online survey

BACKGROUND
Very few studies have explored the distinguishing features of severe asthma in childhood in Europe, and only one study was conducted in Southern Europe. The aim of this study was to provide a detailed characterization of children with severe asthma treated in specialized pediatric asthma centers across Italy.


METHODS
We conducted a web-based data collection of family, environmental, clinical and laboratory characteristics of 41 patients aged 6-17 years with severe asthma, defined according to the recent guidelines of the European Respiratory Society and the American Thoracic Society, and 78 age-matched peers with non-severe persistent asthma. The patients have been enrolled from 16 hospital-based pediatric pulmonology and allergy centers in Northern, Central, and Southern Italy. Logistic regression analysis assessed the relationship between patients' characteristics and severe asthma or non-severe persistent asthma.


RESULTS
Features independently and significantly associated with severe asthma included lifetime sensitization to food allergens [Odds ratio (OR), 4.73; 95 % Confidence Interval (CI), 1.21-18.53; p = 0.03], lifetime hospitalization for asthma (OR, 3.71; 95 % CI, 1.11-12.33; p = 0.03), emergency-department visits for asthma during the past year (OR = 11.98; 95 % CI, 2.70-53.11; p = 0.001), and symptoms triggered by physical activity (OR = 12.78; 95 % CI, 2.66-61.40; p = 0.001). Quality-of-life score was worse in patients with severe asthma than in subjects with non-severe persistent asthma (5.9 versus 6.6, p = 0.005). Self-perception of wellbeing was compromised in more than 40 % of patients in both groups. Children with severe asthma had lower spirometric z scores than non-severe asthmatic peers (all p < 0.001), although 56 % of them had a normal forced expiratory volume in 1 s. No differences were found between the two groups for parental education, home environment, patients' comorbidities, adherence to therapy, exhaled nitric oxide values, and serum eosinophils and IgE .


CONCLUSIONS
As expected, children with severe asthma had more severe clinical course and worse lung function than peers with non-severe persistent asthma. Unlike previous reports, we found greater sensitization to food allergens and similar environmental and personal characteristics in patients with severe asthma compared to those with non-severe persistent asthma. Psychological aspects are compromised in a large number of cases and deserve further investigation.
Functional status in the young-old: establishing a working prototype of an extended-instrumental activities of daily living scale.

BACKGROUND
Instrumental activities of daily living (IADLs) exhibit strong predictive power for the presence of dementia and mild cognitive impairment. However, IADLs are often less effective in younger cohorts or in healthy community-dwelling samples, presenting with large ceiling effects. This study aimed to construct an IADL scale with an extended range. An effort was made to incorporate leisure activity tasks that were more stimulating, and potentially more challenging, into a set of traditional IADLs.


METHODS
Beginning with a set of IADL and leisure activity items, nonparametric item response theory methodology was used to construct a scale with appropriate dimensionality, monotonicity, item discrimination power, and scalability within a large cohort of young-old (aged 65-75). Dimensionality was further scrutinized by principal component analysis of the residuals. The predictive validity of the resulting scale for poor cognitive performance was evaluated using logistic regression.


RESULTS
A reliable (ρ = .73) unidimensional construct was established, meeting the Mokken item response theory criteria of medium scalability. Excluding demented participants, the adjusted model proved sensitive to relatively subtle cognitive deficits; each additional task endorsed (nine-item scale) significantly decreased the odds of being in the bottom quarter of composite domains relating to processing speed (odds ratio = 0.73 [confidence interval: 0.56-0.97], p < .05) and visuospatial ability (odds ratio = 0.70 [confidence interval: 0.73-0.87], p < .01).


CONCLUSIONS
A reliable extended-IADL scale was constructed meeting item response theory assumptions relating to unidimensionality, monotonicity, and invariant item ordering. The range of measurement extends well beyond traditional IADL scales. Finally, the scale appears to be sensitive to cognitive differences within the normal spectrum.
Aesthetic botulinum A toxin in the mid and lower face and neck.

BACKGROUND
Botulinum toxin type A (BOTOX formulation) is used extensively for smoothing hyperkinetic lines in the upper face. The use of botulinum toxin for aesthetic indications in the mid and lower face and neck is now becoming increasingly popular.


OBJECTIVE
To review our current approaches to botulinum toxin treatment for cosmetic indications in the mid and lower face and neck.


METHODS
Procedures and outcomes are described for the primary and adjunctive use of botulinum toxin.


RESULTS
Cosmetic treatment with botulinum toxin successfully changes the contour of the palebral aperture; smoothes lines, including "bunny" lines, perioral rhytides, and horizontal neck lines; softens creases, including the mental crease and melomental folds; and alleviates facial asymmetry and nasal flare. The doses of botulinum toxin used in the mid and lower face are generally lower than those used in the upper face. Caution must be used in injecting botulinum toxin in the perioral area to avoid an incompetent mouth.


CONCLUSION
Botulinum toxin treatment is valuable for aesthetic improvements in the mid and lower face and neck. In some areas, particularly the perioral region, the use of botulinum toxin in combination with other therapeutic modalities provides optimal results.
Data Visualization: Principles and Practice, Second Edition

One day, you will discover a new adventure and knowledge by spending more money. But when? Do you think that you need to obtain those all requirements when having much money? Why don't you try to get something simple at first? That's something that will lead you to know more about the world, adventure, some places, history, entertainment, and more? It is your own time to continue reading habit. One of the books you can enjoy now is data visualization principles and practice second edition here.
Business Intelligence from Social Media: A Study from the VAST Box Office Challenge

With over 16 million tweets per hour, 600 new blog posts per minute, and 400 million active users on Facebook, businesses have begun searching for ways to turn real-time consumer-based posts into actionable intelligence. The goal is to extract information from this noisy, unstructured data and use it for trend analysis and prediction. Current practices support the idea that visual analytics (VA) can help enable the effective analysis of such data. However, empirical evidence demonstrating the effectiveness of a VA solution is still lacking. A proposed VA toolkit extracts data from Bitly and Twitter to predict movie revenue and ratings. Results from the 2013 VAST Box Office Challenge demonstrate the benefit of an interactive environment for predictive analysis, compared to a purely statistical modeling approach. The VA approach used by the toolkit is generalizable to other domains involving social media data, such as sales forecasting and advertisement analysis.
Deep Learning Phase Segregation

Abstract Phase segregation, the process by which the components of a binary mixture spontaneously separate, is a key process in the evolution and design of many chemical, mechanical, and biological systems. In this work, we present a data-driven approach for the learning, modeling, and prediction of phase segregation. A direct mapping between an initially dispersed, immiscible binary fluid and the equilibrium concentration field is learned by conditional generative convolutional neural networks. Concentration field predictions by the deep learning model conserve phase fraction, correctly predict phase transition, and reproduce area, perimeter, and total free energy distributions up to 98% accuracy.
On Coates algorithm

This paper relates the behaviour of Coates algorithm for the construction of rational functions on an algebraic curve to the algebro-geometric structure of the input. This enables us to answer a question of Davenport and provides a frame work in which Coates's algorithm may be compared with other algorithms for the same purpose.
IMPLEMENTATION OF IMAGE PROCESSING ALGORITHMS ON THE PARALLEL PLATFORM USING MATLAB

Application with sequential algorithm can no longer rely on technology scaling to improve performance. Image processing applications exhibits high degree of parallelism and are excellent source for multicore platform. Major challenge of parallel processing is not only aim to high performance but is to give solution is less time and better utilization of resources. This paper focus on calculating the various parameters such as fork time, join time, serial time, parallel time, overheads. The results show that the leveraging of multicore platforms can speed up considerably the processing of images through the use of parallel computing tools in matlab. Keywords-Image Processing; Parallelism; Performance Metrics
A computational library for multiscale modeling of material failure

We present an open-source software framework called PERMIX for multiscale modeling and simulation of fracture in solids. The framework is an object oriented open-source effort written primarily in Fortran 2003 standard with Fortran/C++ interfaces to a number of other libraries such as LAMMPS, ABAQUS, LS-DYNA and GMSH. Fracture on the continuum level is modeled by the extended finite element method. Using several novel or state of the art methods, the piece software handles semi-concurrent multiscale methods as well as concurrent multiscale methods for fracture, coupling two continuum domains or atomistic domains to continuum domains, respectively. The efficiency of our open-source software is shown through several simulations including a 3D crack modeling in clay nanocomposites, a semi-concurrent FE-FE coupling, a 3D Arlequin multiscale example and an MD-XFEM coupling for dynamic crack propagation.