LLukas22/scidocs huggingface dataset:
Philosophy Underlying Emotional Intelligence in Relation to Level of Curiosity and Academic Achievement of Rural Area Students

Problem statement: Since emotional intelligence is still not wholly-ac cepted despite evidences of its powerful influence in general sett ing, this study is therefore conducted to identify the emotional intelligence level among school students i rural areas, relationships between emotional intelligence and anxiety, as well as relationships between emotional intelligence and academic achievement. Approach: It involved a sample of 223 form 1 and form 4 stud ents. Process of data collection was administered by using a set of quest ionnaire which includes a self report measure of emotional intelligence adapted from Schutte Self-Re port of Emotional Intelligence (SSRI) and Beck Anxiety Inventory (BAI). T-test analysis showed tha t there were no significant differences for the emotional intelligence level within all students be tw en ages 13 and 16. However, there were significant differences for the emotional intellige nc level among female students in accordance to ag e. Results: The results showed that there were significant dif ferences for emotional intelligence level among all students between both genders. Mean score of emotional intelligence within female students appeared to be higher than male students. Pearson c orrelation analysis showed that emotional intelligence levels of all students were significan t negatively in relation to anxiety level. Emotiona l intelligence was also significant positively in cor relation with academic achievement of all variables including students’ age and gender. Conclusion: Besides emotional intelligence, the study revealed that anxiety was also significantly correlated in a egative manner with academic achievement among all students.
Lectures on perturbative HQET 1

Extended version of lectures given at the University of Karlsruhe and at Calc-2000 school in Dubna. Properties of HQET as a field theory, methods of calculation of HQET diagrams and some simple applications are explained in detail. These lectures can be used as an additional chapter with any modern QCD textbook.
Designing clinical trials for assessing the effects of cognitive training and physical activity interventions on cognitive outcomes: The Seniors Health and Activity Research Program Pilot (SHARP-P) Study, a randomized controlled trial

BACKGROUND
The efficacy of non-pharmacological intervention approaches such as physical activity, strength, and cognitive training for improving brain health has not been established. Before definitive trials are mounted, important design questions on participation/adherence, training and interventions effects must be answered to more fully inform a full-scale trial.


METHODS
SHARP-P was a single-blinded randomized controlled pilot trial of a 4-month physical activity training intervention (PA) and/or cognitive training intervention (CT) in a 2 × 2 factorial design with a health education control condition in 73 community-dwelling persons, aged 70-85 years, who were at risk for cognitive decline but did not have mild cognitive impairment.


RESULTS
Intervention attendance rates were higher in the CT and PACT groups: CT: 96%, PA: 76%, PACT: 90% (p=0.004), the interventions produced marked changes in cognitive and physical performance measures (p≤0.05), and retention rates exceeded 90%. There were no statistically significant differences in 4-month changes in composite scores of cognitive, executive, and episodic memory function among arms. Four-month improvements in the composite measure increased with age among participants assigned to physical activity training but decreased with age for other participants (intervention*age interaction p=0.01). Depending on the choice of outcome, two-armed full-scale trials may require fewer than 1,000 participants (continuous outcome) or 2,000 participants (categorical outcome).


CONCLUSIONS
Good levels of participation, adherence, and retention appear to be achievable for participants through age 85 years. Care should be taken to ensure that an attention control condition does not attenuate intervention effects. Depending on the choice of outcome measures, the necessary sample sizes to conduct four-year trials appear to be feasible.


TRIAL REGISTRATION
Clinicaltrials.gov Identifier: NCT00688155.
Seeing is believing: Exposure to counterstereotypic women leaders and its effect on the malleability of automatic gender stereotyping

Two studies tested the conditions under which social environments can undermine automatic gender stereotypic beliefs expressed by women. Study 1, a laboratory experiment, manipulated exposure to biographical information about famous female leaders. Study 2, a year-long field study, took advantage of pre-existing differences in the proportion of women occupying leadership positions (e.g., female professors) in two naturally occurring environments—a women s college and a coeducational college. Together, these studies investigated: (a) whether exposure to women in leadership positions can temporarily undermine women s automatic gender stereotypic beliefs, and (b) whether this effect is mediated by the frequency with which female leaders are encountered. Results revealed first that when women were in social contexts that exposed them to female leaders, they were less likely to express automatic stereotypic beliefs about their ingroup (Studies 1 and 2). Second, Study 2 showed that the long-term effect of social environments (women s college vs. coed college) on automatic gender stereotyping was mediated by the frequency of exposure to women leaders (i.e., female faculty). Third, some academic environments (e.g., classes in male-dominated disciplines like science and math) produced an increase in automatic stereotypic beliefs among students at the coed college but not at the women s college— importantly, this effect was mediated by the sex of the course instructors. Together, these findings underscore the power of local environments in shaping women s nonconscious beliefs about their ingroup. 2004 Elsevier Inc. All rights reserved.
AUTOMATIC CLASSIFICATION OF MEDICAL X-RAY IMAGES

Image representation is one of the major aspects of automatic classification algorithms. In this paper, different feature extraction techniques have been utilized to represent medical X-ray images. They are categorized into two groups; (i) low-level image representation such as Gray Level Co-occurrence Matrix(GLCM), Canny Edge Operator, Local Binary Pattern(LBP) , pixel value, and (ii) local patch-based image representation such as Bag of Words (BoW). These features have been exploited in different algorithms for automatic classification of medical Xray images. We then analyzed the classification performance obtained with regard to the image representation techniques used. These experiments were evaluated on ImageCLEF 2007 database consists of 11000 medical X-ray images with 116 classes. Experimental results showed the classification performance obtained by exploiting LBP and BoW outperformed the other algorithms with respect to the image representation techniques used.
Key Issues in Multichannel Customer Management : Current Knowledge and Future Directions

Multichannel customer management is “the design, deployment, and evaluation of channels to enhance customer value through effective customer acquisition, retention, and development” (Neslin, Scott A., D. Grewal, R. Leghorn, V. Shankar, M. L. Teerling, J. S. Thomas, P. C. Verhoef (2006), Challenges and Opportunities in Multichannel Management. Journal of Service Research 9(2) 95–113). Channels typically include the store, the Web, catalog, sales force, third party agency, call center and the like. In recent years, multichannel marketing has grown tremendously and is anticipated to grow even further. While we have developed a good understanding of certain issues such as the relative value of a multichannel customer over a single channel customer, several research and managerial questions still remain. We offer an overview of these emerging issues, present our future outlook, and suggest important avenues for future research. © 2009 Direct Marketing Educational Foundation, Inc. Published by Elsevier B.V. All rights reserved.
A Survey on Various Approaches for Taxonomy Construction

Objectives: To analysis different approaches for taxonomy construction to improve the knowledge classification, information retrieval and other data mining process. Findings: Taxonomies learning keep getting more important process for knowledge sharing about a domain. It is also used for application development such as knowledge searching, information retrieval. The taxonomy can be build manually but it is a complex process when the data are so large and it also produce some errors while taxonomy construction. There is various automatic taxonomy construction techniques are used to learn taxonomy based on keyword phrases, text corpus and from domain specific concepts etc. So it is required to build taxonomy with less human effort and with less error rate. This paper provides detailed information about those techniques. Methods: The methods such as lexico-syntatic pattern, semi supervised methods, graph based methods, ontoplus, TaxoLearn, Bayesian approach, two-step method, ontolearn and Automatic Taxonomy Construction from Text are analyzed in this paper. Application/Improvements: The findings of this work prove that the TaxoFinder approach provides better result than other approaches.
Comprehensive evaluation of community-based diabetic patients: effect of feedback to patients and their physicians: a randomized controlled trial.

OBJECTIVE
To demonstrate improvements in diabetes care stimulated by comprehensive evaluation of community-based diabetic patients with feedback to the patients and their physicians.


RESEARCH DESIGN AND METHODS
A comprehensive evaluation of community-based diabetic patients with annotated reporting of results to both patients and their physicians (universal intervention) was followed by random assignment of 50% of patients to individual counseling (randomized intervention). In four communities, two large and two small, 55 type 1 and 376 type 2 diabetic patients were recruited, evaluated, and reassessed at 1 year. Outcome measures were HbA1c, serum cholesterol, and systolic and diastolic blood pressure.


RESULTS
There were significant improvements in all outcome measures for type 2 diabetic patients randomized to individual counseling (P = 0.03; follow-up rate 84%) and significant improvements in all outcome measures for all high-risk type 2 patients (highest P value = 0.004; follow-up rate 85%).


CONCLUSIONS
Comprehensive evaluation of diabetic patients at the community level with annotated reporting of results to the patients and their physicians was associated with improvement of mean HbA1c, cholesterol, and systolic and diastolic blood pressure, particularly in patients in high-risk status for these outcome variables. Individual counseling of 50% of patients, randomly selected, enhanced these results.
Managing change in software process improvement

Software process improvement has become the primary approach to improving software quality and reliability, employee and customer satisfaction, and return on investment. Although the literature acknowledges that SPI implementation faces various problems, most published cases report success, detailing dramatic improvements. Such best-practice cases are a great benefit when learning how to effectively implement SPI. On the basis of experiences from SPI initiatives and insights into organizational-change management, we offer the following advice for successful SPI implementation: software managers must appreciate that each SPI initiative is unique and carefully negotiate the context of change. Managers must also understand the elements of change involved. SPI can't succeed without managerial commitment and a mastery of appropriate change tactics.
Daily hemodialysis and the outcome of acute renal failure.

BACKGROUND
Intermittent hemodialysis is widely used as renal-replacement therapy in patients with acute renal failure, but an adequate dose has not been defined. We performed a prospective study to determine the effect of daily intermittent hemodialysis, as compared with conventional (alternate-day) intermittent hemodialysis, on survival among patients with acute renal failure.


METHODS
A total of 160 patients with acute renal failure were assigned to receive daily or conventional intermittent hemodialysis. Survival was the primary end point of the study. The duration of acute renal failure and the frequency of therapy-related complications were secondary end points.


RESULTS
The two study groups were similar with respect to age, sex, cause and severity of acute renal failure, medical or surgical intensive care setting, and the score on the Acute Physiology, Age, and Chronic Health Evaluation. Daily hemodialysis resulted in better control of uremia, fewer hypotensive episodes during hemodialysis, and more rapid resolution of acute renal failure (mean [+/-SD], 9+/-2 vs. 16+/-6 days; P=0.001) than did conventional hemodialysis. The mortality rate, according to the intention-to-treat analysis, was 28 percent for daily dialysis and 46 percent for alternate-day dialysis (P=0.01). In a multiple regression analysis, less frequent hemodialysis (on alternate days, as opposed to daily) was an independent risk factor for death.


CONCLUSIONS
The high mortality rate among critically ill patients with acute renal failure who require renal-replacement therapy is related to both coexisting conditions and uremic damage to other organ systems. Intensive hemodialysis reduces mortality without increasing hemodynamically induced morbidity.
Biologically inspired smart fabric design : applications , prerequisites and limitations

This paper focuses on biomimetic design in the field of technical textiles / smart fabrics. Biologically inspired design is a very promising approach that has provided many elegant solutions. Firstly, a few bio-inspired innovations are presented, followed the introduction of trans-disciplinary research as a useful tool for defining the design problem and giving solutions. Furthermore, the required methods for identifying and applying biological analogies are analysed. Finally, the bio-mimetic approach is questioned and the difficulties, limitations and errors that a designer might face when adopting it are discussed. Researchers and product developers that use this approach should also problematize on the role of biomimetic design: is it a practice that redirects us towards a new model of sustainable development or is it just another tool for generating product ideas in order to increase a company’s competitiveness in the global market? Author
Melatonin and its analogs in insomnia and depression.

Benzodiazepine sedative-hypnotic drugs are widely used for the treatment of insomnia. Nevertheless, their adverse effects, such as next-day hangover, dependence and impairment of memory, make them unsuitable for long-term treatment. Melatonin has been used for improving sleep in patients with insomnia mainly because it does not cause hangover or show any addictive potential. However, there is a lack of consistency on its therapeutic value (partly because of its short half-life and the small quantities of melatonin employed). Thus, attention has been focused either on the development of more potent melatonin analogs with prolonged effects or on the design of slow release melatonin preparations. The MT(1) and MT(2) melatonergic receptor ramelteon was effective in increasing total sleep time and sleep efficiency, as well as in reducing sleep latency, in insomnia patients. The melatonergic antidepressant agomelatine, displaying potent MT(1) and MT(2) melatonergic agonism and relatively weak serotonin 5HT(2C) receptor antagonism, was found effective in the treatment of depressed patients. However, long-term safety studies are lacking for both melatonin agonists, particularly considering the pharmacological activity of their metabolites. In view of the higher binding affinities, longest half-life and relative higher potencies of the different melatonin agonists, studies using 2 or 3mg/day of melatonin are probably unsuitable to give appropriate comparison of the effects of the natural compound. Hence, clinical trials employing melatonin doses in the range of 50-100mg/day are warranted before the relative merits of the melatonin analogs versus melatonin can be settled.
Understanding the implementation & integration of remote & tele-health services … an overview of Normalization Process Theory

Policymakers worldwide are increasingly supporting the development of nation-wide tele-healthcare, assisted living and healthy-living technology programs. To support transformation processes within healthcare systems, the computing and Interaction Design community must continually strive to identify, describe, understand and reassess the factors causing users to adopt — and also often reject — technology. We review the Normalization Process Theory, a theoretical model of processes of intervention within the health services. The theory has been iteratively developed over the last decade by health services practitioners and researchers, with direct experience of analysing modalities and impact of changes resulting from complex technological interventions within the health services. The theory is of direct relevance to all designers involved in developing or evaluating the deployment of electronic tele-health-care, assisted living and healthy-living technology.
Facilitating medical information search using Google Glass connected to a content-based medical image retrieval system

Wearable computing devices are starting to change the way users interact with computers and the Internet. Among them, Google Glass includes a small screen located in front of the right eye, a camera filming in front of the user and a small computing unit. Google Glass has the advantage to provide online services while allowing the user to perform tasks with his/her hands. These augmented glasses uncover many useful applications, also in the medical domain. For example, Google Glass can easily provide video conference between medical doctors to discuss a live case. Using these glasses can also facilitate medical information search by allowing the access of a large amount of annotated medical cases during a consultation in a non-disruptive fashion for medical staff. In this paper, we developed a Google Glass application able to take a photo and send it to a medical image retrieval system along with keywords in order to retrieve similar cases. As a preliminary assessment of the usability of the application, we tested the application under three conditions (images of the skin; printed CT scans and MRI images; and CT and MRI images acquired directly from an LCD screen) to explore whether using Google Glass affects the accuracy of the results returned by the medical image retrieval system. The preliminary results show that despite minor problems due to the relative stability of the Google Glass, images can be sent to and processed by the medical image retrieval system and similar images are returned to the user, potentially helping in the decision making process.
Blackboard as an Online Learning Environment: What Do Teacher Education Students and Staff Think?.

As online learning environments now have an established presence in higher education we need to ask the question: How effective are these environments for student learning? Online environments can provide a different type of learning experience than traditional face-to-face contexts (for on-campus students) or printbased materials (for distance learners). This article identifies teacher education student and staff perceptions of teaching and learning using the online learning management system, Blackboard. Perceptions of staff and students are compared and implications for teacher education staff interested in providing high quality learning environments within an online space are discussed.
Core Training: Evidence Translating to Better Performance and Injury Prevention

THIS REVIEW ARTICLE RECOGNIZES THE UNIQUE FUNCTION OF THE CORE MUSCULATURE. IN MANY REAL LIFE ACTIVITIES, THESE MUSCLES ACT TO STIFFEN THE TORSO AND FUNCTION PRIMARILY TO PREVENT MOTION. THIS IS A FUNDAMENTALLY DIFFERENT FUNCTION FROM THOSE MUSCLES OF THE LIMBS, WHICH CREATE MOTION. BY STIFFENING THE TORSO, POWER GENERATED AT THE HIPS IS TRANSMITTED MORE EFFECTIVELY BY THE CORE. RECOGNIZING THIS UNIQUENESS, IMPLICATIONS FOR EXERCISE PROGRAM DESIGN ARE DISCUSSED USING PROGRESSIONS BEGINNING WITH CORRECTIVE AND THERAPEUTIC EXERCISES THROUGH STABILITY/MOBILITY, ENDURANCE, STRENGTH AND POWER STAGES, TO ASSIST THE PERSONAL TRAINER WITH A BROAD SPECTRUM OF CLIENTS.
Optimal Grid-Clustering: Towards Breaking the Curse of Dimensionality in High-Dimensional Clustering

Many applications require the clustering of large amounts of high-dimensional data. Most clustering algorithms, however, do not work e ectively and e ciently in highdimensional space, which is due to the so-called "curse of dimensionality". In addition, the high-dimensional data often contains a signi cant amount of noise which causes additional e ectiveness problems. In this paper, we review and compare the existing algorithms for clustering highdimensional data and show the impact of the curse of dimensionality on their e ectiveness and e ciency. The comparison reveals that condensation-based approaches (such as BIRCH or STING) are the most promising candidates for achieving the necessary e ciency, but it also shows that basically all condensation-based approaches have severe weaknesses with respect to their e ectiveness in highdimensional space. To overcome these problems, we develop a new clustering technique called OptiGrid which is based on constructing an optimal grid-partitioning of the data. The optimal grid-partitioning is determined by calculating the best partitioning hyperplanes for each dimension (if such a partitioning exists) using certain projections of the data. The advantages of our new approach are (1) it has a rm mathematical basis (2) it is by far more e ective than existing clustering algorithms for highdimensional data (3) it is very e cient even for large data sets of high dimensionality. To demonstrate the e ectiveness and e ciency of our new approach, we perform a series of experiments on a number of di erent data sets including real data sets from CAD and molecular biology. A comparison with one of the best known algorithms (BIRCH) shows the superiority of our new approach. Permission to copy without fee all or part of this material is granted provided that the copies are not made or distributed for direct commercial advantage, the VLDB copyright notice and the title of the publication and its date appear, and notice is given that copying is by permission of the Very Large Data Base Endowment. To copy otherwise, or to republish, requires a fee and/or special permission from the Endowment. Proceedings of the 25th VLDB Conference, Edinburgh, Scotland, 1999.