LLukas22/scidocs huggingface dataset:
Apps of steel: are exercise apps providing consumers with realistic expectations?: a content analysis of exercise apps for presence of behavior change theory.

OBJECTIVE
To quantify the presence of health behavior theory constructs in iPhone apps targeting physical activity.


METHODS
This study used a content analysis of 127 apps from Apple's (App Store) Health & Fitness category. Coders downloaded the apps and then used an established theory-based instrument to rate each app's inclusion of theoretical constructs from prominent behavior change theories. Five common items were used to measure 20 theoretical constructs, for a total of 100 items. A theory score was calculated for each app. Multiple regression analysis was used to identify factors associated with higher theory scores.


RESULTS
Apps were generally observed to be lacking in theoretical content. Theory scores ranged from 1 to 28 on a 100-point scale. The health belief model was the most prevalent theory, accounting for 32% of all constructs. Regression analyses indicated that higher priced apps and apps that addressed a broader activity spectrum were associated with higher total theory scores.


CONCLUSION
It is not unexpected that apps contained only minimal theoretical content, given that app developers come from a variety of backgrounds and many are not trained in the application of health behavior theory. The relationship between price and theory score corroborates research indicating that higher quality apps are more expensive. There is an opportunity for health and behavior change experts to partner with app developers to incorporate behavior change theories into the development of apps. These future collaborations between health behavior change experts and app developers could foster apps superior in both theory and programming possibly resulting in better health outcomes.
Vehicle-to-grid power implementation : From stabilizing the grid to supporting large-scale renewable energy

Vehicle-to-grid power (V2G) uses electric-drive vehicles (battery, fuel cell, or hybrid) to provide power for specific electric markets. This article examines the systems and processes needed to tap energy in vehicles and implement V2G. It quantitatively compares today’s light vehicle fleet with the electric power system. The vehicle fleet has 20 times the power capacity, less than one-tenth the utilization, and one-tenth the capital cost per prime mover kW. Conversely, utility generators have 10–50 times longer operating life and lower operating costs per kWh. T id manager. T er the initial h calculations s ind, plus 8 identified. ©
Nanomechanical characterization of amorphous and nanocrystalline FeCuNbSiB thin films

Abstract Mechanical properties (hardness and Young's modulus) of amorphous and nanocrystalline Fe 73.5 Cu 1 Nb 3 Si 15.5 B 7 thin films (thicknesses from 1.4 μm to 2 μm) have been investigated using the depth-sensing nanoindentation technique. The amorphous films, having uniform and smooth surfaces, were deposited on glass, aluminum, silicon, and sapphire substrates using the high power impulse magnetron sputtering technique. The nanocrystalline state was achieved after isothermal treatments performed at temperatures between 463 °C and 475 °C. The mean value for the effective Young's modulus of the amorphous Fe 73.5 Cu 1 Nb 3 Si 15.5 B 7 thin films is about 146 GPa, regardless of their thickness or the substrate's nature. Increasing the thickness of the films, the hardness value increases up to 1 GPa. After the thermal treatments performed at 475 °C (when the films’ structure consists of b.c.c. α-Fe(Si) grains with average size of 15 nm embedded in a residual amorphous matrix) the effective Young's modulus value decreases by about 13%, while hardness value increases by about 13% with respect to the as-deposited state.
The SAMS: Smartphone Addiction Management System and Verification

While the popularity of smartphones has given enormous convenience to our lives, their pathological use has created a new mental health concern among the community. Hence, intensive research is being conducted on the etiology and treatment of the condition. However, the traditional clinical approach based surveys and interviews has serious limitations: health professionals cannot perform continual assessment and intervention for the affected group and the subjectivity of assessment is questionable. To cope with these limitations, a comprehensive ICT (Information and Communications Technology) system called SAMS (Smartphone Addiction Management System) is developed for objective assessment and intervention. The SAMS system consists of an Android smartphone application and a web application server. The SAMS client monitors the user’s application usage together with GPS location and Internet access location, and transmits the data to the SAMS server. The SAMS server stores the usage data and performs key statistical data analysis and usage intervention according to the clinicians’ decision. To verify the reliability and efficacy of the developed system, a comparison study with survey-based screening with the K-SAS (Korean Smartphone Addiction Scale) as well as self-field trials is performed. The comparison study is done using usage data from 14 users who are 19 to 50 year old adults that left at least 1 week usage logs and completed the survey questionnaires. The field trial fully verified the accuracy of the time, location, and Internet access information in the usage measurement and the reliability of the system operation over more than 2 weeks. The comparison study showed that daily use count has a strong correlation with K-SAS scores, whereas daily use times do not strongly correlate for potentially addicted users. The correlation coefficients of count and times with total K-SAS score are CC = 0.62 and CC =0.07, respectively, and the t-test analysis for the contrast group of potential addicts and the values for the non-addicts were p = 0.047 and p = 0.507, respectively.
Effect of training intensity on physical capacity, lipid profile and insulin sensitivity in early rehabilitation of spinal cord injured individuals

Study design: Pre–post training intervention.Objectives: To evaluate the effect of training intensity on physical capacity, lipid profile and insulin sensitivity in early rehabilitation of spinal cord injured (SCI) patients, and to assess the correlation between peak aerobic capacity (VO2Peak) and insulin sensitivity.Setting: Spinal Cord Rehabilitation Unit, Sunnaas Hospital, Nesoddtangen, Norway.Method: Six recently injured SCI individuals participated in the arm training intervention and were randomly admitted to a high-intensity (HI; 70–80% heart rate reserve (HRR)) and low-intensity (LI; 40–50% HRR) group. The 1 h interval training consisted of 3 min exercise bouts interspersed with 2 min of rest, three times a week for 8 weeks. In addition, a correlation coefficient was obtained between VO2Peak and insulin sensitivity in 11 SCI patients.Results: The 8-week training program resulted in a significant increase in VO2Peak and maximal power output (POMax) for the group as a whole (P<0.05). VO2Peak increased significantly more and total cholesterol/high-density lipoprotein cholesterol (TC/HDL-C) ratio and triglycerids decreased significantly more in the HI group than in the LI group (P=0.05). Training-induced changes in insulin sensitivity were significantly different between the groups (P=0.05), which was due to a nonsignificant decline in insulin sensitivity in the HI group and a nonsignificant improvement in the LI group. A significant positive correlation was found between VO2peak and insulin sensitivity (r=0.68, P=0.02).Conclusion: The interval arm training protocol as used in the present study enables recently injured SCI patients to do substantial work at a relatively high intensity. Results indicate that improvements in physical capacity and lipid profile were more pronounced in response to high-intensity training. The significant correlation between maximal oxygen consumption and insulin sensitivity indicates that, as in the able-bodied population, peak aerobic capacity is a predictive value with regard to insulin sensitivity in SCI. Future studies with larger groups assessing the role of exercise intensity on insulin sensitivity in SCI are suggested.
Balance and walking after three different models of stroke rehabilitation: early supported discharge in a day unit or at home, and traditional treatment (control)

OBJECTIVE
To compare the effects on balance and walking of three models of stroke rehabilitation: early supported discharge with rehabilitation in a day unit or at home, and traditional uncoordinated treatment (control).


DESIGN
Group comparison study within a randomised controlled trial.


SETTING
Hospital stroke unit and primary healthcare.


PARTICIPANTS



INCLUSION CRITERIA
a score of 2-26 on National Institutes of Health Stroke Scale, assessed with Postural Assessment Scale for Stroke (PASS), and discharge directly home from the hospital stroke unit.


INTERVENTIONS
Two intervention groups were given early supported discharge with treatment in either a day unit or the patient's own home. The controls were offered traditional, uncoordinated treatment.


OUTCOME MEASURES
Primary: PASS. Secondary: Trunk Impairment Scale-modified Norwegian version; timed Up-and-Go; 5 m timed walk; self-reports on problems with walking, balance, ADL, physical activity, pain and tiredness. The patients were tested before randomisation and 3 months after inclusion.


RESULTS
From a total of 306 randomised patients, 167 were tested with PASS at baseline and discharged directly home. 105 were retested at 3 months: mean age 69 years, 63 men, 27 patients in day unit rehabilitation, 43 in home rehabilitation and 35 in a control group. There were no group differences, either at baseline for demographic and test data or for length of stroke unit stay. At 3 months, there was no group difference in change on PASS (p>0.05). Some secondary measures tended to show better outcome for the intervention groups, that is, trunk control, median (95% CI): day unit, 2 (0.28 to 2.31); home rehabilitation, 4 (1.80 to 3.78); control, 1 (0.56 to 2.53), p=0.044; and for self-report on walking, p=0.021 and ADL, p=0.016.


CONCLUSIONS
There was no difference in change between the groups for postural balance, but the secondary outcomes indicated that improvement of trunk control and walking was better in the intervention groups than in the control group.


TRIAL REGISTRATION
This study is part of the Early Supported Discharge after Stroke in Bergen, ClinicalTrials.gov (NCT00771771).
Neuroinflammation and Alzheimer's Disease: Implications for Microglial Activation.

BACKGROUND
Microglial activation is a hallmark of neuroinflammation, seen in most acute and chronic neuropsychiatric conditions. With growing knowledge about microglia functions in surveying the brain for alterations, microglial activation is increasingly discussed in the context of disease progression and pathogenesis of Alzheimer's disease (AD). Underlying molecular mechanisms, however, remain largely unclear. While proper microglial function is essentially required for its scavenging duties, local activation of the brain's innate immune cells also brings about many less advantageous changes, such as reactive oxygen species (ROS) production, secretion of proinflammatory cytokines or degradation of neuroprotective retinoids, and may thus unnecessarily put surrounding healthy neurons in danger. In view of this dilemma, it is little surprising that both, AD vaccination trials, and also immunosuppressive strategies have consistently failed in AD patients. Nevertheless, epidemiological evidence has suggested a protective effect for anti-inflammatory agents, supporting the hypothesis that key processes involved in the pathogenesis of AD may take place rather early in the time course of the disorder, likely long before memory impairment becomes clinically evident. Activation of microglia results in a severely altered microenvironment. This is not only caused by the plethora of secreted cytokines, chemokines or ROS, but may also involve increased turnover of neuroprotective endogenous substances such as retinoic acid (RA), as recently shown in vitro.


RESULTS
We discuss findings linking microglial activation and AD and speculate that microglial malfunction, which brings about changes in local RA concentrations in vitro, may underlie AD pathogenesis and precede or facilitate the onset of AD. Thus, chronic, "innate neuroinflammation" may provide a valuable target for preventive and therapeutic strategies.
Credit card churn forecasting by logistic regression and decision tree

In this paper, two data mining algorithms are applied to build a churn prediction model using credit card data collected from a real Chinese bank. The contribution of four variable categories: customer information, card information, risk information, and transaction activity information are examined. The paper analyzes a process of dealing with variables when data is obtained from a database instead of a survey. Instead of considering the all 135 variables into the model directly, it selects the certain variables from the perspective of not only correlation but also economic sense. In addition to the accuracy of analytic results, the paper designs a misclassification cost measurement by taking the two types error and the economic sense into account, which is more suitable to evaluate the credit card churn prediction model. The algorithms used in this study include logistic regression and decision tree which are proven mature and powerful classification algorithms. The test result shows that regression performs a little better than decision tree. 2011 Elsevier Ltd. All rights reserved.
Survey of maneuvering target tracking. Part V. Multiple-model methods

This is the fifth part of a series of papers that provide a comprehensive survey of techniques for tracking maneuvering targets without addressing the so-called measurement-origin uncertainty. Part I and Part II deal with target motion models. Part III covers measurement models and associated techniques. Part IV is concerned with tracking techniques that are based on decisions regarding target maneuvers. This part surveys the multiple-model methods $the use of multiple models (and filters) simultaneously - which is the prevailing approach to maneuvering target tracking in recent years. The survey is presented in a structured way, centered around three generations of algorithms: autonomous, cooperating, and variable structure. It emphasizes the underpinning of each algorithm and covers various issues in algorithm design, application, and performance.
Efficacy and safety of entecavir plus carnitine complex (GODEX®) compared to entecavir monotherapy in patient with ALT elevated chronic hepatitis B: randomized, multicenter open-label trials. The GOAL study

BACKGROUND/AIMS
Carnitine and vitamin complex (Godex®) is widely used in patients with chronic liver disease who show elevated liver enzyme in South Korea. The purpose of this study is to identify the efficacy and safety of carnitine from entecavir combination therapy in Alanine aminotransferase (ALT) elevated Chronic Hepatitis B (CHB) patients.


METHODS
130 treatment-naïve patients with CHB were enrolled from 13 sites. The patients were randomly selected to the entecavir and the complex of entecavir and carnitine. The primary endpoint of the study is ALT normalization level after 12 months.


RESULTS
Among the 130 patients, 119 patients completed the study treatment. The ALT normalization at 3 months was 58.9% for the monotherapy and 95.2% for the combination therapy (P<0.0001). ALT normalization rate at 12 months was 85.7% for the monotherapy and 100% for the combination group (P=0.0019). The rate of less than HBV DNA 300 copies/mL at 12 months was not statistically significant (P=0.5318) 75.9% for the monotherapy, 70.7% for the combination and it was. Quantification of HBsAg level was not different from the monotherapy to combination at 12 months. Changes of ELISPOT value to evaluate the INF-γ secretion by HBsAg showed the increasing trend of combination therapy compare to mono-treatment.


CONCLUSIONS
ALT normalization rate was higher in carnitine complex combination group than entecavir group in CHB. Combination group was faster than entecavir mono-treatment group on ALT normalization rate. HBV DNA normalization rate and the serum HBV-DNA level were not changed by carnitine complex treatment.
Reference ranges of lymphocyte subsets in healthy adults and adolescents with special mention of T cell maturation subsets in adults of South Florida.

BACKGROUND
Analysis of peripheral blood lymphocyte subsets has become an essential tool in the evaluation of outcome of diagnostic and research related questions in immunological and pathological conditions. Periodic evaluation and establishment of normal lymphocyte reference ranges are required in clinical and research settings of various immunodeficiency disorders for evaluation of the significance of observations. It is also important that age and gender specific lymphocyte subset reference ranges should be locally established for meaningful comparison and accurate result interpretation as age plays a significant role in the development of immune system.


METHODS
We performed dual platform flow cytometry to determine reference ranges for lymphocyte subsets (CD3, CD4, CD8, CD19 [B cells] and CD16+CD56+ [Natural Killer - NK cells]) in 50 adolescents (age range: 12-18) and 100 adults (age range: 21-67) along with T cell maturation, activation and co-stimulatory molecules in healthy multiracial adult population of South Florida.


RESULTS
The lymphocyte reference ranges percentages [absolute counts - Abs, cells/μl] unadjusted for gender differences for adolescents are: CD3: 49-83 [939-2959]; CD4: 27-53 [467-1563]; CD8: 16-40 [259-1262]; CD19+ B cells: 8-31 [169-1297] and CD16+CD56+ NK cells: 3-30 [59-1178] and for adults are: CD3: 65-88 [983-3572]; CD4: 26-62 [491-2000]; CD8: 14-44 [314-2,087]; CD19+ B cells: 2-27 [64-800] and CD16+CD56+ NK cells: 2-27 [27-693]. The ranges for CD4:CD8 ratio for adolescents and adults are 0.7-2.6 and 0.6-4.4, respectively. Gender based analysis of relative percentages of lymphocyte subsets showed no significant differences between adult and adolescent males and females. The mean CD4:CD8 ratio was significantly higher in adult females than males (P=0.04) and in adolescents this difference was not significant between genders. The mean CD3 and CD4 T cell percentages were higher and CD19 cell percentages were lower in adults compared to adolescents (P<0.0001). Absolute lymphocyte counts showed a positive correlation with the absolute counts of CD3+, CD4+, CD8+, CD19+, CD16+CD56+, CD45RO+ and CD45RA+ cells (all correlations with P<0.0001 except CD45RO [P=0.01] and CD45RA [P=0.03]).


CONCLUSION
The reference values of peripheral blood lymphocyte subsets were analyzed in healthy adolescent and adult population of South Florida. This study indicates the need for periodic evaluation and establishment of lymphocyte reference ranges for patient population served based on gender and age since these could influence immune status and treatment outcome.
Computational Text Analysis for Social Science: Model Assumptions and Complexity

Across many disciplines, interest is increasing in the use of computational text analysis in the service of social science questions. We survey the spectrum of current methods, which lie on two dimensions: (1) computational and statistical model complexity; and (2) domain assumptions. This comparative perspective suggests directions of research to better align new methods with the goals of social scientists. 1 Use cases for computational text analysis in the social sciences The use of computational methods to explore research questions in the social sciences and humanities has boomed over the past several years, as the volume of data capturing human communication (including text, audio, video, etc.) has risen to match the ambitious goal of understanding the behaviors of people and society [1]. Automated content analysis of text, which draws on techniques developed in natural language processing, information retrieval, text mining, and machine learning, should be properly understood as a class of quantitative social science methodologies. Employed techniques range from simple analysis of comparative word frequencies to more complex hierarchical admixture models. As this nascent field grows, it is important to clearly present and characterize the assumptions of techniques currently in use, so that new practitioners can be better informed as to the range of available models. To illustrate the breadth of current applications, we list a sampling of substantive questions and studies that have developed or applied computational text analysis to address them. • Political Science: How do U.S. Senate speeches reflect agendas and attention? How are Senate institutions changing [27]? What are the agendas expressed in Senators’ press releases [28]? Do U.S. Supreme Court oral arguments predict justices’ voting behavior [29]? Does social media reflect public political opinion, or forecast elections [12, 30]? What determines international conflict and cooperation [31, 32, 33]? How much did racial attitudes affect voting in the 2008 U.S. presidential election [34]? • Economics: How does sentiment in the media affect the stock market [2, 3]? Does sentiment in social media associate with stocks [4, 5, 6]? Do a company’s SEC filings predict aspects of stock performance [7, 8]? What determines a customer’s trust in an online merchant [9]? How can we measure macroeconomic variables with search queries and social media text [10, 11, 12]? How can we forecast consumer demand for movies [13, 14]? • Psychology: How does a person’s mental and affective state manifest in their language [15]? Are diurnal and seasonal mood cycles cross-cultural [16]?
School violence and teacher professional disengagement.

BACKGROUND
Most studies of school violence have focused on students. Consequently, precursors and consequences of violence experienced by teachers are less well documented. Previous research indicates that (a) verbal victimization, student misbehaviour and perceived violence at school impair teacher emotional well-being, (b) support from principal and colleagues reduces these difficulties and fosters well-being, (c) well-being impacts on professional involvement. However, it is still not clear how those variables relate to each other.


AIMS
To test and compare - through structural equation modelling - two models of the relationships between perceived school support, exposure to school violence, subjective well-being and professional disengagement. To test - through multigroup analysis - the buffering effect of school support between school violence and well-being.


SAMPLE
Participants in this study were 487 French-speaking teachers (57% female) randomly selected from 24 secondary schools in Belgium.


METHOD
Participants completed a questionnaire on school leadership, relationships with colleagues, verbal victimization, students' misbehaviour, perceived violence, depression, somatization, anxiety and professional disengagement.


RESULTS
The results support a model in which perceived school support has a direct effect on exposure to school violence, subjective well-being and professional disengagement, while the effect of school violence on disengagement is totally mediated by well-being. No evidence of a moderating effect of school support was found.


CONCLUSIONS
The results of this study suggest that the negative emotional impact of some forms of school violence could be an important factor in a teacher's intention to leave, and that school support could be even more important for both teacher emotional well-being and professional disengagement.