LLukas22/scidocs huggingface dataset:
Modulation of training by single-session transcranial direct current stimulation to the intact motor cortex enhances motor skill acquisition of the paretic hand.

BACKGROUND AND PURPOSE
Mechanisms of skill learning are paramount components for stroke recovery. Recent noninvasive brain stimulation studies demonstrated that decreasing activity in the contralesional motor cortex might be beneficial, providing transient functional improvements after stroke. The more crucial question, however, is whether this intervention can also enhance the acquisition of complex motor tasks, yielding longer-lasting functional improvements. In the present study, we tested the capacity of cathodal transcranial direct current stimulation (tDCS) applied over the contralesional motor cortex during training to enhance the acquisition and retention of complex sequential finger movements of the paretic hand.


METHOD
Twelve well-recovered chronic patients with subcortical stroke attended 2 training sessions during which either cathodal tDCS or a sham intervention were applied to the contralesional motor cortex in a double-blind, crossover design. Two different motor sequences, matched for their degree of complexity, were tested in a counterbalanced order during as well as 90 minutes and 24 hours after the intervention. Potential underlying mechanisms were evaluated with transcranial magnetic stimulation.


RESULTS
tDCS facilitated the acquisition of a new motor skill compared with sham stimulation (P=0.04) yielding better task retention results. A significant correlation was observed between the tDCS-induced improvement during training and the tDCS-induced changes of intracortical inhibition (R(2)=0.63).


CONCLUSIONS
These results indicate that tDCS is a promising tool to improve not only motor behavior, but also procedural learning. They further underline the potential of noninvasive brain stimulation as an adjuvant treatment for long-term recovery, at least in patients with mild functional impairment after stroke.
The effect of adding whole-body vibration to squat training on the functional performance and self-report of disease status in elderly patients with knee osteoarthritis: a randomized, controlled clinical study.

OBJECTIVES
The study objectives were to evaluate the effects of adding whole-body vibration to squat training on functional performance and self-report of disease in elderly individuals with knee osteoarthritis (OA).


DESIGN
This was a prospective, randomized trial in which selected variables were evaluated at three periods: 3 weeks prior to the training, immediately prior, and after the end of the training.


SUBJECTS
Twenty-three (23) elderly subjects were evaluated using four functional performance tests: Berg Balance Scale (BBS), Timed Get Up and Go Test (TGUG), Chair Stand Test (CST), and 6-Minute Walk Test (6MWT), and a self-report of the status of disease (WOMAC).


INTERVENTIONS
The intervention lasted for 12 weeks, 3 times per week. The participants were randomized into two groups: (1) squat training with whole-body vibration, and (2) squat training without vibration.


RESULTS
Although there was no statistical difference in functional performance and self-report of disease status between the groups, performance in all the functional tests and in all the domains of WOMAC improved in the vibration group compared to their initial status. In the exercise group, performance improved only two tests (BBS and 6MWT), and there was a reduction in self-reported pain (WOMAC) compared to their initial status.


CONCLUSIONS
Although the addition of whole-body vibration to squat training failed to result in a significant improvement in functional performance and self-reported status of knee osteoarthritis in the elderly, the intragroup results suggest that whole-body vibration may represent a feasible and effective way of improving the functionality and self-perception of disease status in older adults with knee OA.
Grit in the path to e-learning success

E-learning systems are emerging in many settings of our society. Schools, universities, and several other organizations use these systems. E-learning systems allow learning anytime and anywhere. This medium may seem to be the answer to all learning barriers, but the effect of non-cognitive skills on the success of e-learning systems is yet to be explored. Latest studies demonstrate that students with high grit levels, stamina in pursuing long term objectives, achieve better results in learning. In our study we propose a theoretical model studying grit as a determinant of e-learning systems success. The study was conducted on a sample of university students' sample, and a theoretical model was validated using structural equation modeling (SEM). Results indicate that grit has positive effects on satisfaction and in students' individual performance. The results help to improve e-learning strategies and to understand e-learning success, explained by students’ skills and systems characteristics. © 2016 Elsevier Ltd. All rights reserved.
An improved global feature selection scheme for text classification

Feature selection is known as a good solution to the high dimensionality of the feature space and mostly preferred feature selection methods for text classification are filter-based ones. In a common filter-based feature selection scheme, unique scores are assigned to features depending on their discriminative power and these features are sorted in descending order according to the scores. Then, the last step is to add top-N features to the feature set where N is generally an empirically determined number. In this paper, an improved global feature selection scheme (IGFSS) where the last step in a common feature selection scheme is modified in order to obtain a more representative feature set is proposed. Although feature set constructed by a common feature selection scheme successfully represents some of the classes, a number of classes may not be even represented. Consequently, IGFSS aims to improve the classification performance of global feature selection methods by creating a feature set representing all classes almost equally. For this purpose, a local feature selection method is used in IGFSS to label features according to their discriminative power on classes and these labels are used while producing the feature sets. Experimental results on well-known benchmark datasets with various classifiers indicate that IGFSS improves the performance of classification in terms of two widely-known metrics namely Micro-F1 and Macro-F1. © 2015 Elsevier Ltd. All rights reserved.
Letter Regarding.

Dear Editor: We read carefully and with great interest the anatomic study performed by Lilyquist et al. They performed an interesting study of the tibiofibular syndesmosis using a 3-dimensional method that can be of help when performing anatomic studies. As the authors report in the study, a controversy exists regarding the anatomic structures of the syndesmosis, and a huge confusion can be observed when reading the related literature. However, anatomic confusion between the inferior transverse ligament and the intermalleolar ligament is present in the manuscript: the intermalleolar ligament is erroneously identified as the “inferior” transverse ligament. The transverse ligament is the name that receives the deep component of the posterior tibiofibular ligament. The posterior tibiofibular ligament is a ligament located in the posterior aspect of the ankle that joins the distal epiphysis of tibia and fibula; it is formed by 2 fascicles, one superficial and one deep. The deep fascicle or transverse ligament is difficult to see from a posterior ankle view, but easily from a plantar view of the tibiofibular syndesmosis (Figure 1). Instead, the intermalleolar ligament is a thickening of the posterior ankle joint capsule, located between the posterior talofibular ligament and the transverse ligament. It originates from the medial facet of the lateral malleolus and directs medially to tibia and talus (Figure 2). The intermalleolar ligament was observed in 100% of the specimens by Golanó et al in contrast with 70% in Lilyquist’s study. On the other hand, structures of the ankle syndesmosis have not been named according to the International Anatomical Terminology (IAT). In 1955, the VI Federative International Congress of Anatomy accorded to eliminate eponyms from the IAT. Because of this measure, the Chaput, Wagstaff, or Volkman tubercles used in the manuscript should be eliminated in order to avoid increasing confusion. Lilyquist et al also defined the tibiofibular syndesmosis as being formed by the anterior inferior tibiofibular ligament, the posterior inferior tibiofibular ligament, the interosseous ligament, and the inferior transverse ligament. The anterior inferior tibiofibular ligament and posterior inferior tibiofibular ligament of the tibiofibular syndesmosis (or inferior tibiofibular joint) should be referred to as the anterior tibiofibular ligament and posterior tibiofibular ligament. The reason why it is not necessary to use “inferior” in its description is that the ligaments of the superior tibiofibular joint are the anterior ligament of the fibular head and the posterior ligament of the fibular head, not the “anterior superior tibiofibular ligament” and “posterior superior tibiofibular ligament.” The ankle syndesmosis is one of the areas of the human body where chronic anatomic errors exist: the transverse ligament (deep component of the posterior tibiofibular ligament), the anterior tibiofibular ligament (“anterior 689614 FAIXXX10.1177/1071100716689614Foot & Ankle InternationalLetter to the Editor letter2017
Credit-modular system: The peculiarities of its introduction in the Vyacheslav Chornovil State Institute of Modern Technologies and Management of Lviv

The work is dedicated to main peculiarities and problems of introduction of credit-modular technology of the educational process organization in the Vyacheslav Chornovil State Institute of Modern Technologies and Management of Lviv.
Comparative mechanisms of cancer cell migration through 3D matrix and physiological microtracks.

Tumor cell invasion through the stromal extracellular matrix (ECM) is a key feature of cancer metastasis, and understanding the cellular mechanisms of invasive migration is critical to the development of effective diagnostic and therapeutic strategies. Since cancer cell migration is highly adaptable to physiochemical properties of the ECM, it is critical to define these migration mechanisms in a context-specific manner. Although extensive work has characterized cancer cell migration in two- and three-dimensional (3D) matrix environments, the migration program employed by cells to move through native and cell-derived microtracks within the stromal ECM remains unclear. We previously reported the development of an in vitro model of patterned type I collagen microtracks that enable matrix metalloproteinase-independent microtrack migration. Here we show that collagen microtracks closely resemble channel-like gaps in native mammary stroma ECM and examine the extracellular and intracellular mechanisms underlying microtrack migration. Cell-matrix mechanocoupling, while critical for migration through 3D matrix, is not necessary for microtrack migration. Instead, cytoskeletal dynamics, including actin polymerization, cortical tension, and microtubule turnover, enable persistent, polarized migration through physiological microtracks. These results indicate that tumor cells employ context-specific mechanisms to migrate and suggest that selective targeting of cytoskeletal dynamics, but not adhesion, proteolysis, or cell traction forces, may effectively inhibit cancer cell migration through preformed matrix microtracks within the tumor stroma.
Clustered Data Management in Virtual Docker Networks Spanning Geo-Redundant Data Centers : A Performance Evaluation Study of Docker Networking

...................................................................................................................................... iii Acknowledgement ....................................................................................................................... iv Table of
Motion Control of Wheeled Mobile Robots

The paper deals with the modeling and control strategies of the motion of wheeled mobile robots. The model of the vehicle has two driving wheels and the angular velocities of the two wheels are independently controlled. First, the vehicle kinematics model and the control strategies using a feedforward compensator are analyzed. Second, fuzzy reactive control of a mobile robot motion in an unknown environment with obstacles are proposed. Finally, the mobile robot simulation is illustrated.
Contribution of Callosal Connections to the Interhemispheric Integration of Visuomotor and Cognitive Processes

In recent years, cognitive neuroscience has been concerned with the role of the corpus callosum and interhemispheric communication for lower-level processes and higher-order cognitive functions. There is empirical evidence that not only callosal disconnection but also subtle degradation of the corpus callosum can influence the transfer of information and integration between the hemispheres. The reviewed studies on patients with callosal degradation with and without disconnection indicate a dissociation of callosal functions: while anterior callosal regions were associated with interhemispheric inhibition in situations of semantic (Stroop) and visuospatial (hierarchical letters) competition, posterior callosal areas were associated with interhemispheric facilitation from redundant information at visuomotor and cognitive levels. Together, the reviewed research on selective cognitive functions provides evidence that the corpus callosum contributes to the integration of perception and action within a subcortico-cortical network promoting a unified experience of the way we perceive the visual world and prepare our actions.
UK Renal Registry 13th Annual Report (December 2010): Chapter 14: enhancing access to UK Renal Registry data through innovative online data visualisations.

INTRODUCTION
As the volume of data and analyses grows with time, so does the need to present this increasingly complex information in an accessible and clinically informative manner which is responsive to, and reflects the nature of, the enquiries made by those seeking to access the data.


THE UK RENAL REGISTRY INTERACTIVE DATA PORTAL
The UK Renal Registry (UKRR) now has a bespoke interactive data portal which provides a focussed point of access to a variety of graphical display formats and analyses of UKRR data including: · Centre-specific reports--a distillation of annual UKRR data including a colour-coded dashboard summary as well as both funnel plots and longitudinal statistical process control charts for a range of clinical parameters. · Interactive flash-based longitudinal Statistical Process Control charts on a per-centre and per-parameter basis allowing for a more detailed review of performance over time. These charts are the interactive correlates of those available in the centre-specific reports. · Rosling/Gapminder-style motion charts on a perparameter basis simultaneously detailing performance and activity data from multiple centres interactively over time (more details below). · An interactive graphical pivot chart solution using OLAP technology allowing users to design and export their own charts/analyses in real-time using UKRR data.


CONCLUSION
This work builds strongly on the wealth of information arising from the high-quality validated UKRR datasets. The portal will empower and engage the UK renal community in the comparative analysis of delivered renal care ultimately leading to enhanced quality improvement over time.
Forecasting Stock Market Volatility with Regime-Switching GARCH Models

This paper compares different GARCH models in terms of their ability to describe and forecast financial time series’ volatility from one-day to one-month horizon. To take into account the excessive persistence usually found in GARCH models that implies too smooth and too high volatility forecasts, Markov Regime-Switching GARCH (MRS-GARCH) models, where the parameters are allowed to switch between a low and a high volatility regime, are analyzed. Both gaussian and fat-tailed conditional distributions for the residuals are assumed, and the degrees of freedom can be state-dependent to model possible time-varying kurtosis. The empirical analysis demonstrates that Markov Regime-Switching GARCH (MRS-GARCH) models do really outperform all standard GARCH models in forecasting volatility at shorter horizons according to a broad set of statistical loss functions. At longer horizons standard asymmetric GARCH models fare the best. Tests for equal predictive ability of the Diebold-Mariano type and for superior predictive ability, such as White’s Reality Check and Hansen’s SPA test, confirm these results rejecting the presence of better models than the MRS-GARCH with normal innovations. However, according to a VaR-based loss function this model fares much worse than the others at all horizons. Also we find that no model clearly outperforms the others at all horizon under this risk-management evaluation criterion. JEL Classification: C22, C52, C53
MLI: An API for Distributed Machine Learning

MLI is an Application Programming Interface designed to address the challenges of building Machine Learning algorithms in a distributed setting based on data-centric computing. Its primary goal is to simplify the development of high-performance, scalable, distributed algorithms. Our initial results show that, relative to existing systems, this interface can be used to build distributed implementations of a wide variety of common Machine Learning algorithms with minimal complexity and highly competitive performance and scalability.
Parental Involvement in Students' Education during Middle School and High School. Report No. 18.

This project analyzes data from the parent component of the National Educational Longitudinal Study of 1988 to investigate changes in family educational involvement between students' 8th and 12th grades. Findings show that the patterns of parental involvement in adolescents' education change between the two grades. During high school, parents become less involved with monitoring students' individual behaviors and more concerned with their learning opportunities at school. By students' eighth grade, nearly all parents had postsecondary expectations, but few had taken specific actions to secure funds for college. During adolescents' senior year in high school, most parents report frequent discussions with them concerning postsecondary schools. At that time, parents also report that they have some knowledge about financial aid. A high proportion of 12th graders' parents expect to finance their child's further education through scholarships and grants, but fewer had applied for such programs before students' high school graduation. Consistent between-grade differences exist in the ways in which parents from different racial and ethnic backgrounds get involved with their adolescents' education and in their approach towards financing postsecondary education. Overall, findings indicate that many parents welcome opportunities for communication with schools and desire greater participation in the school decision-making process. They would also greatly benefit from guidance in their efforts to secure funds for postsecondary education. Four appendixes present a parent involvement factor analysis and parental variables from first, second, and college factor analyses. (Contains 20 tables and 9 references.) (Author/SLD) ******************************************************************************** Reproductions supplied by EDRS are the best that can be made from the original document. ******************************************************************************** CRESPAR U.S. DEPARTMENT OF EDUCATION Office of Educational Research and Improvement EDUCATIONAL RESOURCES INFORMATION CENTER (ERIC) X This document has been reproduced as received from the person or organization originating it. 0 Minor changes have been made to improve reproduction quality. Points of view or opinions stated in this document do not necessarily represent official OERI position or policy. PARENTAL INVOLVEMENT IN STUDENTS' EDUCATION DURING MIDDLE SCHOOL AND HIGH SCHOOL Sophia Catsambis Janet E. Garland Report No. 18 / December 1997 CENTER FOR RESEARCH ON THE EDUCATION OF STUDENTS PLACED AT RISK Johns Hopkins University & Howard University 2 BEST COPY AVAILAR1 F Ub
Oral health and dental treatment needs in Nigerian patients with epilepsy.

PURPOSE
We determined the prevalence of oral disorders and the dental treatment needs of outpatients with epilepsy.


METHODS
A questionnaire was administered to 56 consecutive patients (35 males, 21 females) presenting to an outpatient clinic. All patients underwent dental examinations. The clinical and diagnostic features of each patient's epilepsy were also obtained.


RESULTS
The mean age (+/-SD) of the patients was 25.1 +/- 12.1 years (range, 12-56 years). Of 9 patients receiving phenytoin (PHT) monotherapy, 3 (33.3%) had gingival hypertrophy; 15 of 18 (83.3%) patients receiving PHT in combination with phenobarbital (PB) manifested the disorder. Traumatized anterior teeth were found in 26 (46.4%) patients with the males significantly more affected than females (p = 0.02). When the dental treatment needs were considered, 24 (42.9%) patients required dental prophylaxis with oral hygiene instruction, and an equal number required various types of restorative treatments. Only 13 patients (23.2%) had previously visited a dental clinic; the 43 (76.8%) who had never sought dental treatment claimed they did not see any need for it.


CONCLUSIONS
Our study showed an increased predilection to anterior dental injuries in patients with epilepsy as compared with the prevalence earlier reported for those without epilepsy in Nigeria (p = 0.00). There is a clear need for effective interaction between medical and dental practitioners in the management of epilepsy.
The use of remote sensing and landscape metrics to describe structures and changes in urban land uses

Remote sensing technology has great potential for acquisition of detailed and accurate land-use information for management and planning of urban regions. However, the determination of land-use data with high geometric and thematic accuracy is generally limited by the availability of adequate remote sensing data, in terms of spatial and temporal resolution, and digital image analysis techniques. This study introduces a methodology using information on image spatial formölandscape metricsöto describe urban land-use structures and land-cover changes that result from urban growth. The analysis is based on spatial analysis of land-cover structures mapped from digitally classified aerial photographs of the urban region Santa Barbara, CA. Landscape metrics were calculated for segmented areas of homogeneous urban land use to allow a further characterization of the land use of these areas. The results show a useful separation and characterization of three urban land-use types: commercial development, high-density residential, and low-density residential. Several important structural land-cover features were identified for this study. These were: the dominant general land cover (built up or vegetation), the housing density, the mean structure and plot size, and the spatial aggregation of built-up areas. For two test areas in the Santa Barbara region, changes (urban growth) in the urban spatial land-use structure can be described and quantified with landscape metrics. In order to discriminate more accurately between the three land-cover types of interest, the landscape metrics were further refined into what are termed `landscape metric signatures' for the land-use categories. The analysis shows the importance of the spatial measurements as second-order image information that can contribute to more detailed mapping of urban areas and towards a more accurate characterization of spatial urban growth pattern. DOI:10.1068/a3496