LLukas22/scidocs huggingface dataset:
The Motivational Effects of the Classroom Environment in Facilitating Self-Regulated Learning

Students can be proactive and engaged or, alternatively, lack initiative and responsibility for their learning. Self-regulated learning involves learning strategies and mental processes that learners deliberately engage to help themselves learn and perform better academically. The results of this study provide empirical support for the theoretical relationships among cognitive evaluation theory, achievement goal theory, and self-regulated learning strategies in the context of the classroom. Superficial learning strategies were linked to extrinsic motivation, while intrinsic motivation determined deep cognitive and metacognitive strategy usage. Perceived autonomy, perceived competence, and task mastery orientation mediated the classroom environment's effect on intrinsic motivation. These findings suggest that active application-oriented experience delivered by enthusiastic faculty, who provide high interaction, supportive feedback, and clear goals that emphasize learning over grades, will increase intrinsic motivation and the use of self-regulated learning strategies. Teaching guidelines and pedagogical examples for enhancing intrinsic motivation are provided.
SWOT Analysis for Adopting of Big Data in the Higher Education Institutions ( Yemen )

concept that is receiving great recognition and is being highlighted both in academics and in business [6]. 2.3 Characteristics of Big Data Initially, big data was characterized by the following dimensions which were often referred as 3V model [7] , [5] , [8]:  Volume: refers to the enormousness of the data that is being generated and collected. It is increasing at a faster rate from terabytes to petabytes (1024
Relations between endogenous androgens and estrogens in postmenopausal women with suspected ischemic heart disease.

CONTEXT
Because androgens are obligatory precursors of estrogens, it is reasonable to assume that their serum concentrations would exhibit positive correlations. If so, then epidemiologic studies that examine the association between androgens and pathological processes should adjust the results for the independent effect of estrogens.


OBJECTIVE
The objective of the study was to examine the interrelationships among testosterone (T), androstenedione, estradiol (E2), estrone, and SHBG in postmenopausal women.


DESIGN
This was a cross-sectional study of women participating in the National Heart, Blood, and Lung Institute-sponsored Women's Ischemia Syndrome Evaluation study.


SETTING
The study was conducted at four academic medical centers.


PATIENTS
A total of 284 postmenopausal women with chest pain symptoms or suspected myocardial ischemia.


MAIN OUTCOME MEASURES
Post hoc analysis of the relationships among sex steroid hormones with insulin resistance, body mass index (BMI), and presence or absence of coronary artery disease as determined by coronary angiography.


RESULTS
BMI was significantly associated with insulin resistance, total E2, free E2, bioavailable E2, and free T. Highly significant correlations were found for total T, free T, and androstenedione with total E2, free E2, bioavailable E2, and estrone and persisted after adjustment for BMI and insulin resistance. A significant relationship was present between total and free T and the presence of coronary artery disease after adjustment for the effect of E2.


CONCLUSIONS
Serum levels of androgens and estrogens track closely in postmenopausal women referred for coronary angiography for suspected myocardial ischemia. Epidemiological studies that relate sex steroid hormones to physiological or pathological processes need to control for the independent effect of both estrogens and androgens.
Heat Conduction Problems in  ${\rm SF}_{6}$ Gas Cooled-Insulated Power Transformers Solved by the Finite-Element Method

In this paper, the finite-element method is used to perform heat transfer analysis to obtain the steady state and the transient temperature distribution of gas cooled-insulated power transformers. All significant parameters that influence transformer operation have been included. Also, the analysis results, which are obtained from the thermal analysis, could be reviewed at any specified location within the transformer as a function of time. The predicted temperature values are compared with experimental results reported in the literature.
A Comparative Study of Multilayer Neural Network and C 4 . 5 Decision Tree Models for Predicting the Risk of Breast Cancer

Background: Diagnosing breast cancer at an early stage can have a great impact on cancer mortality. One of the fundamental problems in cancer treatment is the lack of a proper method for early detection, which may lead to diagnostic errors. Using data analysis techniques can significantly help in early diagnosis of the disease. The purpose of this study was to evaluate and compare the efficacy of two data mining techniques, i.e., multilayer neural network and C4.5, in early diagnosis of breast cancer. Methods: A data set from Motamed Cancer Institute's breast cancer research clinic, Tehran, containing 2860 records related to breast cancer risk factors were used. Of the records, 1141 (40%) were related to malignant changes and breast cancer and 1719 (60%) to benign tumors. The data set was analyzed using perceptron neural network and decision tree algorithms, and was split into two a training data set (70%) and a testing data set (30%) using Rapid Miner 5.2. Results: For neural networks, accuracy was 80.52%, precision 88.91%, and sensitivity 90.88%; and for decision tree, accuracy was 80.98%, precision 80.97%, and sensitivity 89.32%. Results indicated that both algorithms have acceptable capabilities for analyzing breast cancer data. Conclusion: Although both models provided good results, neural network showed more reliable diagnosis for positive cases. Data set type and analysis method affect results. On the other hand, information about more powerful risk factors of breast cancer, such as genetic mutations, can provide models with high coverage. Received: 13 October 2017 Revised: 19 January 2018 Accepted: 26 January 2018
Estimating the supply and demand of gasoline using tax data

a r t i c l e i n f o We estimate supply and demand functions for the U.S. gasoline market using information from excise tax returns provided by the IRS for the period 1990–2009. We find price and income elasticities of demand similar to those found using EIA data. We find a price elasticity of supply of 0.29, which differs from the common assumption of a perfectly inelastic short-run supply curve. By using a novel data source, the analysis provides a robustness check of aggregate studies of gasoline demand and a consistent, econometric estimate of the price elasticity of gasoline supply. The results are useful in guiding tax and regulatory policies regarding gasoline consumption. Facing large and growing deficits for both the Highway Trust Fund and the overall federal budget, as well as increasing concern over curbing carbon emissions, there is a renewed interest in the taxation of gasoline and other fossil fuels. Indeed, taxes on fossil fuels have not kept pace with either government expenditures on transportation infrastructure or inflation. Table 1 shows federal taxes on gasoline and diesel have been stagnant (in nominal terms) since 1993. Since receipts from the excise tax on gasoline are the largest source of overall excise tax revenues, these taxes represent an important funding source for federal spending on transportation infrastructure. To understand how tax policies affect the behavior of consumers and producers, and impact government tax receipts, one must have estimates of the price elasticity of demand and supply for fuel. These elasticities are also necessary to uncover the incidence of such taxes. Yet, while there has been extensive study of the price elasticity of demand for gasoline (see Goodwin et al., (2004) for a recent survey), much less has been written about the price elasticity of supply. This study fills the gap by providing estimates of the price elasticities of both supply and demand for gasoline. Our analysis is novel in two ways. First, we use data from excise tax returns to provide quarterly observations on U.S. fuel consumption. Second, we are the first to estimate both supply and demand elasticities using the same data source and consistent models. We use data on fuel consumption from 1990 to 2009 to estimate the short-run price elasticities of supply and demand for gasoline. Simultaneous equations models, which correct for the endogeneity of prices and quantities in the market equilibrium, suggest the …
On the expressive power of deep neural networks

We propose a new approach to the problem of neural network expressivity, which seeks to characterize how structural properties of a neural network family affect the functions it is able to compute. Our approach is based on an interrelated set of measures of expressivity, unified by the novel notion of trajectory length, which measures how the output of a network changes as the input sweeps along a one-dimensional path. Our findings can be summarized as follows:
Enhancements to Bluetooth baseband security

Bluetooth system has been developed by Bluetooth Special Interest Group (Bluetooth SIG) as a cable replacement for short-range connectivity. In Bluetooth, special effort has been taken to develop and standardise adequate security mechanisms and procedures for protecting the wireless radio link. This set of mechanisms is defined in the Bluetooth Baseband specification [5] and is referred to as Bluetooth Baseband security. It is based on strong cryptographic algorithms and well-established security principles. Still, more work is required to integrate Bluetooth Baseband security into various applications that may have very different link layer security requirements. Bluetooth Baseband security is implemented in the Bluetooth module and is common to all Bluetooth units. Also the application specific security functionality may need to be standardised for interoperability. Recently, Jakobsson and Wetzel identified some potential trap holes in Bluetooth security in [11]. Their main concerns were certain weak options included in the Bluetooth security standard. They also criticised the way Bluetooth units make themselves discoverable by other units just by broadcasting messages that include their unique identities in clear. The purpose of this paper is to introduce some recent work in the area of Bluetooth Baseband security. Specifically, we address the problems discovered by Jakobsson and Wetzel, and develop possible counter measures. First, a brief introduction to Bluetooth Baseband security is given. Then major security shortcomings are identified. These include usage of the unit key and the short Bluetooth PIN value in the initialisation procedure, on the one hand, and the privacy problem created by location tracking, on the other hand. In section 4, we discuss passkey-based methods of exchanging the Bluetooth link key. Using public key cryptography adequate security can be provided while keeping the passkey short for the user's convenience. Furthermore, in section 5, an application to LAN access is developed enabling access point roaming. Finally, in section 6, we describe a technique that offers reasonable protection against location tracking. Identities of Bluetooth units can be efficiently hidden from unauthorised units using temporary Bluetooth device addresses.
Modulation of Pro-inflammatory Cytokines Expression of the Biofield Energy Healing (The Trivedi Effect ® ) Based Herbomineral Formulation in Mouse Splenocytes

With the increasing popularity of herbomineral preparations in healthcare, a new proprietary herbomineral formulation was formulated with ashwagandha root extract and three minerals viz. zinc, magnesium, and selenium. The aim of the study was to evaluate the immunomodulatory potential of Biofield Energy Healing (The Trivedi Effect ® ) on the herbomineral formulation using murine splenocyte cells. The test formulation was divided into two parts. One was the control without the Biofield Energy Treatment. The other part was labelled the Biofield Energy Treated sample, which received the Biofield Energy Healing Treatment remotely by twenty renowned Biofield Energy Healers. Through MTT assay, all the test formulation concentrations from 0.00001053 to 10.53 μg/mL were found to be safe with cell viability ranging from 102.61% to 194.57% using splenocyte cells. The Biofield Treated test formulation showed a significant (p≤0.01) inhibition of TNF-α expression by 15.87%, 20.64%, 18.65%, and 20.34% at 0.00001053, 0.0001053, 0.01053, and 0.1053, μg/mL, respectively as compared to the vehicle control (VC) group. The level of TNF-α was reduced by 8.73%, 19.54%, and 14.19% at 0.001053, 0.01053, and 0.1053 μg/mL, respectively in the Biofield Treated test formulation compared to the untreated test formulation. The expression of IL-1β reduced by 22.08%, 23.69%, 23.00%, 16.33%, 25.76%, 16.10%, and 23.69% at 0.00001053, 0.0001053, 0.001053, 0.01053, 0.1053, 1.053 and 10.53 μg/mL, respectively compared to the VC. Additionally, the expression of MIP-1α significantly (p≤0.001) reduced by 13.35%, 22.96%, 25.11%, 22.71%, and 21.83% at 0.00001053, 0.0001053, 0.01053, 1.053, and 10.53 μg/mL, respectively in the Biofield Treated test formulation compared to the VC. The Biofield Treated test formulation significantly down-regulated the MIP-1α expression by 10.75%, 9.53%, 9.57%, and 10.87% at 0.00001053, 0.01053, 0.1053 and 1.053 μg/mL, respectively compared to the untreated test formulation. The results showed the IFN-γ expression was also significantly (p≤0.001) reduced by 39.16%, 40.34%, 27.57%, 26.06%, 42.53%, and 48.91% at 0.0001053, 0.001053, 0.01053, 0.1053, 1.053, and 10.53 μg/mL, respectively in the Biofield Treated test formulation compared to the VC. The Biofield Treated test formulation showed better suppression of IFN-γ expression by 15.46%, 13.78%, International Journal of Biomedical Engineering and Clinical Science 2016; 2(1): 8-17 9 17.14%, and 13.11% at concentrations 0.001053, 0.01053, 0.1053, and 10.53 μg/mL, respectively compared to the untreated test formulation. Overall, the results demonstrated that The Trivedi Effect ® Biofield Energy Healing (TEBEH) has the capacity to potentiate the immunomodulatory and anti-inflammatory activity of the test formulation. Biofield Energy may also be useful in organ transplants, anti-aging, and stress management by improving overall health and quality of life.
QCD: from four to two dimensions

I review some work done in the past four years concerning the transition of Yang-Mills theories from 1+3 to 1+1 dimensions. The problem is considered both in a perturbative context and in exact solutions when available. Several interesting features are discussed, mainly in relation to the phenomenon of confinement, and some controversial issues are clarified.
Impact of comprehensive geriatric assessment on survival, function, and nutritional status in elderly patients with head and neck cancer: protocol for a multicentre randomised controlled trial (EGeSOR)

Survival is poorer in elderly patients with head and neck squamous cell carcinomas [HNSCCs] than in younger patients. Possible explanations include a contribution of co-morbidities to mortality, frequent refusal of standard therapy, and the use of suboptimal treatments due to concern about toxicities. The Comprehensive Geriatric Assessment [CGA] is a multidimensional assessment of general health that can help to customise treatment and follow-up plans. The CGA has been proven effective in several health settings but has not been evaluated in randomised studies of patients with cancer. Our aim here was to assess the impact of the CGA on overall survival, function, and nutritional status of elderly patients with HNSCC. EGeSOR is an open-label, multicentre, randomised, controlled, parallel-group trial in patients aged 70 years or older and receiving standard care for HNSCC. The intervention includes four components: the CGA conducted by a geriatrician before cancer treatment, participation of the same geriatrician in cancer treatment selection, a standardised geriatric therapeutic intervention designed by the same geriatrician; and geriatric follow-up for 24 months. The primary endpoint, assessed after 6 months, is a composite criterion including death, functional impairment [Activities of Daily Living score decrease ≥2], and weight loss ≥10%. Secondary endpoints include progression-free survival, unscheduled admissions, quality of life, treatment toxicities, costs, and completion of the planned cancer treatment. A centralised online system is used to perform 1:1 randomisation with a minimisation algorithm for centre, age, T and N stages, and tumour site [oral, oropharyngeal, hypopharyngeal, or laryngeal]. The estimated sample size is 704 patients, who are being recruited by 14 centres in 9 French cities. EGeSOR is the first randomised trial of the CGA in elderly cancer patients. We expect the CGA to have direct clinical benefits on the management of elderly patients with HNSCC. If this expectation is fulfilled, the trial may lead to modifications of the management model for elderly patients with cancer. Trial registration: NCT02025062
Finding meaning despite anxiety over life and death in amyotrophic lateral sclerosis patients.

AIM AND OBJECTIVES
To illuminate how people with amyotrophic lateral sclerosis (ALS) create meaning despite the disease.


BACKGROUND
Coping strategies for living with ALS have already been investigated. However, there is a lack of studies on how people with the disease find meaning and what helps and hinders this.


DESIGN
A qualitative descriptive study.


METHODS
Fourteen individual interviews were performed in Spring 2007. The interviews were analysed by qualitative content analysis.


RESULTS
Two themes emerged to illuminate the complex life situation of the interviewees: experiences of anxiety over life and death and finding meaning despite the illness. It became clear that the uncertain journey towards death was more frightened than death itself. Despite the incurable disease, which brought feelings of life and death anxiety, physical loss, unfairness, guilt, shame and existential loneliness, they also found meaning in life, which strengthened their will to live. Meaning was found through their family and friends, the act of giving and receiving help, the feeling of having a life of their own and accepting the present. The perspective of life was transferred to a deeper view where material things and quarrels were no longer in focus.


CONCLUSIONS
Despite the disease, the participants found meaning in life which strengthened their will to live.


RELEVANCE TO CLINICAL PRACTICE
The balance between anxiety over life and death and finding meaning in life indicates the importance of support through the whole disease process. Both disease-specific problems and existential questions must be tackled. Nurses and other professionals need to be aware of the patients' existential qualms. There is a need to focus on what is important for the individual, and emphasis must be placed on where that person can find meaning.
REAL-TIME PARAMETER ESTIMATION IN THE FREQUENCY DOMAIN

A method for real-time estimation of parameters in a linear dynamic state space model was developed and studied. The application is aircraft dynamic model parameter estimation from measured data in flight for indirect adaptive or reconfigurable control. Equation error in the frequency domain was used with a recursive Fourier transform for the real-time data analysis. Linear and nonlinear simulation examples and flight test data from the F-18 High Alpha Research Vehicle (HARV) were used to demonstrate that the technique produces accurate model parameter estimates with appropriate error bounds. Parameter estimates converged in less than 1 cycle of the dominant dynamic mode natural frequencies, using control surface inputs measured in flight during ordinary piloted maneuvers. The real-time parameter estimation method has low computational requirements, and could be implemented aboard an aircraft in real time. Nomenclature A,B,C,D system matrices E ; @ expectation operator g acceleration due to gravity, ft/sec h altitude, ft j imaginary number = -1 M Mach number N total number of samples Re real part R measurement noise covariance matrix t time Copyright © 1999 by the American Institute of Aeronautics and Astronautics, Inc. No copyright is asserted in the United States under Title 17, U.S. Code. The U.S. Government has a royaltyfree license to exercise all rights under the copyright claimed herein for Governmental purposes. All other rights are reserved by the copyright owner. Vt true airspeed, ft/sec x, u, y state, input, and output vectors zi measured output vector at time i t D α angle of attack, rad β sideslip angle, rad δ δ a r , aileron, rudder deflections, rad δ δ e s , elevator, stabilator deflections, rad δ ij Kronecker delta ν i discrete measurement noise vector σ 2 variance ω angular frequency, rad/sec θ p-dimensional parameter vector superscripts T transpose † complex conjugate transpose ~ discrete Fourier transform $ estimate –1 matrix inverse subscripts i value at time i t D o trim or initial value Introduction Real-time identification of dynamic models is a requirement for indirect adaptive or reconfigurable control. One approach for satisfying this requirement is to assume the dynamic model has a linear structure with time-varying parameters to account for changes in the flight condition, stores, configuration, remaining fuel, or from various types of failures, wear, or damage. The task is then to identify accurate linear model parameter estimates from measured data in real time, so that the adaptive control logic can make the necessary https://ntrs.nasa.gov/search.jsp?R=20040087105 2017-09-13T22:15:14+00:00Z
Work-related factors, job satisfaction and intent to leave the current job among United States nurses.

AIMS AND OBJECTIVES
To examine the relationships of work-related factors (e.g., autonomy, work schedule, supervisory and peer support) to nurses' job satisfaction and intent to leave their current position.


BACKGROUND
Low job satisfaction and high turnover of nurses are major problems for health care. To improve nurse retention, work-related factors associated with job satisfaction and intent to leave should be investigated.


DESIGN
A cross-sectional secondary data analysis.


METHODS
Data were obtained in 2004 from Wave 3 of the Nurses' Worklife and Health Study. A random sample of 5000 actively licenced nurses in Illinois and North Carolina (two U.S. states) were sent the survey in wave 1, of which 1641 actively working bedside nurses participated in wave 3. We examined associations of various work-related factors with job satisfaction and intent to leave the current position.


RESULTS
Nurses who were dissatisfied with their job reported significantly higher psychological demands and lower autonomy than nurses who were satisfied. Nurses were significantly less satisfied with their jobs when they worked longer hours with inadequate breaks or sick days. Lack of support from peers and supervisors was also related to significantly lower odds of job satisfaction. For intention to leave, nurses who said they planned to leave their current job reported significantly lower autonomy and less support from their peers than nurses who intended to stay.


CONCLUSION
A variety of modifiable work-related factors were significantly related to job satisfaction and intention to leave the current job among nurses. Future research should focus on developing interventions that could mitigate these factors (e.g., by improving work schedules, increasing autonomy and/or nurse support). The impact of such interventions on job satisfaction and intention to leave the current position could then be evaluated.


RELEVANCE TO CLINICAL PRACTICE
To increase nurse retention, improved schedules, autonomy and supportive work environments should be promoted.