Miracle-dz/UniFAR-FTUs huggingface dataset:
Cognitive intervention results in web-based videophone treatment adherence and improved cognitive scores

Background We report findings from an intervention study using telehealth modalities to determine whether provision of telehealth services can improve access to care and increase adherence to cognitive therapy in veterans with mild traumatic brain injury (TBI) while matching traditional care in terms of outcomes. Material/Methods Veterans who were initially non-adherent to clinic-based cognitive therapy were offered a newly developed treatment. The control participants were selected from patient records of veterans who had completed cognitive treatment and matched to MOPS-VI participants on the basis of age, marital or relationship status, and composite memory index score. Baseline and post-treatment cognitive functioning as assessed by the Test of Memory and Learning 2nd Edition (TOMAL-2) was obtained for all participants. The MOPS-VI modules were designed to increase understanding of TBI and elicit problem-solving skills for attention and memory impairment. Results Sixty-seven percent of veterans (who were assigned to the MOPS-VI treatment group because they were initially non-adherent with the clinic-based treatment) completed the MOPS-VI telemedicine treatment. Results of a two-way analysis of Variance (ANOVA) comparing baseline and follow-up scores on the TOMAL-2 in the MOPS-VI and control groups revealed there was a significant pre-post assessment effect, indicating that participant’s memory and learning improved after treatment for both MOPS-VI and standard treatment groups. There was no significant difference between clinic-based treatment and MOPS-VI therapy. Conclusions Preliminary evidence supports the efficacy of the treatment, defined as increased compliance in completing the treatment program, and improvements in standardized memory and learning test results comparable to those following clinic-based treatment.
Automatic Translation of C Source Code to Eiffel

Can we reuse some of the huge code-base developed in C to take advantage of modern programming language features such as type safety, object-orientation, and contracts? This paper presents a source-to-source translation of C code into Eiel, a modern object-oriented programming language, and the supporting tool C2Eif. The translation is completely automatic and supports the entire C language (ANSI, as well as many GNU C Compiler extensions, through CIL) as used in practice, including its usage of native system libraries and inlined assembly code. Our experiments show that C2Eif can handle C applications and libraries of signicant size (such as
Identification of Major Histocompatibility Complex Restriction and Anchor Residues of Foot-and-Mouth Disease Virus-Derived Bovine T-Cell Epitopes

ABSTRACT Despite intensive research on the identification of T-cell epitopes in cattle after foot-and-mouth disease virus (FMDV) infection during the last 20 years, knowledge of major histocompatibility complex (MHC) restriction and anchor residues of such epitopes is still sparse. Therefore, as a first step, we tested lymphocytes from two experimentally FMDV serotype A24-vaccinated and -challenged cattle for recognition of FMDV-derived pentadecapeptides in proliferation assays. Two epitopes were identified: amino acid residues 66 to 80 within the structural protein 1D and amino acid residues 22 to 36 within the structural protein 1A. The latter epitope was recognized by lymphocytes from both cattle. Peptide-specific proliferation was caused by a response of CD4+ T helper cells as identified by carboxyfluorescein diacetate succinimidyl ester proliferation assays. Having identified one epitope that was recognized by two cattle, we hypothesized that these animals should have common MHC class II alleles. Cloning and sequencing of DRB3, DQA, and DQB alleles revealed that both animals possessed DQA allele 22021 and DQB allele 1301 but had no common DRB3 allele. A parallel analysis of amino acid residues involved in MHC presentation by peptides with alanine substitutions showed that the amino acid residues in positions 5 and 9 within the pentadecapeptide representing the 1A epitope were important for MHC binding in both cattle. These data indicate that the epitope located on FMDV protein 1A can be presented by MHC class II DQ molecules encoded by DQA allele 22021 and DQB allele 1301 and present the first evidence of the binding motif of this particular DQ molecule.
HealthAnalytic: A concept application for customizable visualization and analysis of health informatics datasets

A large amount of health statistics of the Indian population has recently become available in the public domain owing to the National Data Sharing and Accessibility Policy (NDSAP). This statistical data is beneficial if it can be used to obtain meaningful inferences from data-driven models. Analysis and visualization of such data has been a challenge and has become an imperative requirement for executive decision making. The challenge could be attributed to the fact that the set of features that an attribute is dependent on is subjective and data-dependent. Hence, there is a need to provide a pervasive and flexible data analytics framework that would allow this data to drive decision making. We propose a concept for the design and development of a fully customizable data analysis framework on the Android platform which allows users to visualize the effect of any combination of attributes drawn from these datasets in predicting a particular attribute (label). We use feature scoring techniques to achieve this, and also provide an additional option to view data correlation. The intended application, called HealthAnalytic, is beneficial for executive level decision-making, as it provides visualization via data-driven models along with the pervasiveness of a mobile application. The initial version of the application uses existing methods, however newer scalable methods can be incorporated in the future.
Time course of inflammation resolution in patients with frequent exacerbations of chronic obstructive pulmonary disease

Background When exacerbation of chronic obstructive pulmonary disease (AECOPD) occurs frequently, patients have high levels of airway and systemic inflammation and a poor quality of life. This study compared the nature and course of systemic and airway inflammation during AECOPD between patients who experienced frequent exacerbations and those with non-frequent exacerbations. Material/Methods Consecutive hospitalized patients with AECOPD were recruited and divided into 2 groups according to the frequency of AECOPD they had experienced in the previous year. Frequent exacerbators (defined as 2 or more AECOPD in the previous year) and non-frequent exacerbators (defined as zero or 1 AECOPD in the previous year). Inflammatory (interleukin 6, interleukin 8, myeloperoxidase, and C-reactive protein) and clinical (dyspnea, COPD assessment test (CAT), and peak expiratory flow) indices were assessed on the day of admission before starting therapy, day 7 of treatment, the day of planned discharge (day 10–14), and 8 weeks after discharge. Results We analyzed data from 135 patients; 78 (57.8%) were non-frequent exacerbators and 57 (42.2%) were frequent exacerbators. In both groups, the inflammatory and clinical indices at day 7, the day of planned discharge (day 10–14), and 8 weeks were significantly improved compared to those at admission. Frequent exacerbators had a smaller reduction in their inflammatory indices and CAT scores between exacerbation onset and all the other time points compared with infrequent exacerbators. Conclusions Frequent exacerbators have a reduced response to treatment of AECOPD in terms of inflammatory indices and quality of life.
Patch based frame work for occlusion detection in multi human tracking

Nowadays video surveillance system becomes popular to ensure security at major areas. Current video surveillance system analyzes the tracking of multiple human in a video. The problem of detecting moving targets in crowded scenes is one of the most challenging topics in such systems. Occlusion is said to be one object hides another during multiple human tracking in a series of frames or in one frame. Occlusion detection and handling is an important phase for such systems. The main objective of the proposed work is to detect occlusion. In the proposed work, patches in each object are used to identify the parts which are going to be occluded. This system can identify the occlusion between humans in a scene and can identify the occluded parts of each object. Our ultimate goal is to develop a surveillance system that is free from occlusion.
Metallographic Index-Based Quantification of the Homogenization State in Extrudable Aluminum Alloys

Extrudability of aluminum alloys of the 6xxx series is highly dependent on the microstructure of the homogenized billets. It is therefore very important to characterize quantitatively the state of homogenization of the as-cast billets. The quantification of the homogenization state was based on the measurement of specific microstructural indices, which describe the size and shape of the intermetallics and indicate the state of homogenization. The indices evaluated were the following: aspect ratio (AR), which is the ratio of the maximum to the minimum diameter of the particles, feret (F), which is the maximum caliper length, and circularity (C), which is a measure of how closely a particle resembles a circle in a 2D metallographic section. The method included extensive metallographic work and the measurement of a large number of particles, including a statistical analysis, in order to investigate the effect of homogenization time. Among the indices examined, the circularity index exhibited the most consistent variation with homogenization time. The lowest value of the circularity index coincided with the metallographic observation for necklace formation. Shorter homogenization times resulted in intermediate homogenization stages involving rounding of edges or particle pinching. The results indicated that the index-based quantification of the homogenization state could provide a credible method for the selection of homogenization process parameters towards enhanced extrudability.
Ta-cos 2016 Text Analytics for Cybersecurity and Online Safety Adeola O Opesade, Mutawakilu a Tiamiyu and Tunde Adegbola, Forensic Investigation of Linguis- Tic Sources of Electronic Scam Mail: a Statistical Language Modelling Approach Workshop Organizers Workshop Programme Committee a Dictionary-ba

Online social platforms are beset with hateful speech content that expresses hatred for a person or group of people. Such content can frighten, intimidate, or silence platform users, and some of it can inspire other users to commit violence. Despite widespread recognition of the problems posed by such content, reliable solutions even for detecting hateful speech are lacking. In the present work, we establish why keyword-based methods are insufficient for detection. We then propose an approach to detecting hateful speech that uses content produced by self-identifying hateful communities as training data. Our approach bypasses the expensive annotation process often required to train keyword systems and performs well across several established platforms, making substantial improvements over current state-of-the-art approaches.
Multi-band Folded dipole antenna for Mobile phone

Compact folded dipole antenna, which covers 5 multi bands (GSM850, GSM900 GSM1800, GSM1900 and UMTS), is investigated. Frequency matching is done by changing parameters. The antenna height is less than conventional 4 band antenna (GSM900, GSM1800, GSM1900 and UMTS) that is already on the market. In this paper, we compare simulation result and measured result
Inducing Structure for Vision and Language

The ability of children to solve complex learning problems during their first years of life has fascinated philosophers and researchers throughout time. While we are still far from completely understanding this process, there has been some interesting recent work in learning and language grounding (Regier, 2003; Roy, 2005; Yu et al., 2005). The computational models presented therein are capable of discovering limited word and meaning associations from a video recording of a person telling a story shown in a picture book. Even though the models require a restricted and simplified environment, these results are remarkable if one considers the challenges involved: segmenting a speech signal into words, identifying objects and actions from their perceptual input, and associating these perceptions. Children are tackling these challenges with very little or no supervision when they acquire language. A computational model for learning and language grounding should therefore be able to (i) make use of multimodal information (e.g. visual and audio perception), (ii) be able to automatically induce models that capture the hidden structures present in language and vision, and (iii) do so in an unsupervised manner.
Effects of Long-Term Exercise on Spatial Learning, Memory Ability, and Cortical Capillaries in Aged Rats

Background This study aimed to determine the effects of long-term running exercise on spatial learning, spatial memory, and cortical capillaries in aged rats. Material/Methods Fourteen-month-old female and male Sprague-Dawley rats were randomly divided into an exercised group (EG) and a non-exercised group (NG). The EG rats were trained on treadmill running for 4 or 14 months. The NG rats were housed under identical conditions without running. Spatial learning and memory were assessed with the Morris water maze. The cortical capillary parameters were quantitatively investigated using immunohistochemical and stereological methods. Results The escaped latencies of the EG were significantly different from those of the NG in 18-month-old females and 28-month-old males (p<0.05). However, 28-month-old females and 18-month-old males showed no differences in escape latency between the EG and NG (p>0.05). In 28-month-old female rats, stereological techniques showed significant differences between the EG and NG in the cortical capillary volume (median, 22.55 vs. 11.42, p<0.05) and the cortical capillary surface area (median, 7474.13 vs. 3935.90, p<0.05). In 28-month-old male rats, the EG had a significantly longer total cortical capillary length (median, 530.35 vs. 156.27, p<0.05), significantly larger cortical capillary volume (median, 16.47 vs. 3.65, p<0.01), and a significantly larger cortical capillary total surface area (median, 7885.79 vs. 1957.16, p<0.01) compared with the NG group. Conclusions These data demonstrate that exercise improved spatial learning, memory capacity and cortical capillaries in aged rats.
Candidate selection for network design of distributed manufacturing systems

Supply chains are distributed manufacturing systems composed of various resources belonging to different companies. Efficient design of the supply chain network is essential for business to pursue a competitive advantage. In this paper a hierarchical methodology previously outlined by the authors is considered for supply chain network design. In the first level the performance of the entities candidate to join the network is evaluated and efficient elements are singled out. The second level is aimed at developing a model to configure the network. Finally, the third level is devoted to validating the solution proposed in the first two levels. The paper focuses on the first level and proposes a four-step procedure to select the candidates in the supply chain stages. Some optimization multi-criteria techniques are considered and the proposed decision level is illustrated by way of a case study describing a network for desktop computer production.
An InGaAs/GaAs superlattice-base heterostructure-emitter bipolar transistor (SB-HEBT)

A novel InGaAs/GaAs superlattice-base heterostructure-emitter bipolar transistor (SB-HEBT) with structure is proposed and demonstrated by two-dimensional analysis. As compared to the traditional HEBT, the studied superlattice-base device exhibits a higher collector current, a higher current gain of 246 and a lower base-emitter (B-E) turn-on voltage of 16 mV attributed to the increased charge storage of minority carriers in the InGaAs/GaAs superlattice-base region by tunneling behavior. The low turn-on voltage can reduce the operating voltage and collector-emitter offset voltage for low power consumption in circuit applications.
A Job Assignment Method Based on Auction Model and Genetic Algorithm for Grid Computing

In this paper, with introduction of microeconomics and genetic engineering knowledge, a job assignment method for grid computing is proposed, considering both time limit and cost simultaneously. It determines resource trading price between resource buyer and resource provider based on auction model, and then finds the optimal job assignment solution based on genetic algorithm. Simulation results have shown that the proposed method is both feasible and effective
Altered postural control strategies and sensory organization in children with 1 developmental coordination disorder 2 3 4

18 The postural control of children with and without developmental coordination disorder (DCD) 19 was compared under conditions of reduced or conflicting sensory input. Twenty-two children 20 with DCD (16 males, 6 females; mean age 7 years 6 months, SD 1 year 5 months) and 19 21 children with normal motor development were tested (13 males, 6 females; mean age 6 years 22 11 months, SD 1 year 1 month). Standing balance, sensory organization and motor control 23 strategy were evaluated using the sensory organization test (SOT). The results reveal that 24 children with DCD had lower composite equilibrium scores (p < 0.001), visual ratios (p = 25 0.005) and vestibular ratios (p = 0.002) than normal children in the control group. No 26 significant between-group difference in their average somatosensory ratio was observed. 27 Additionally, children with DCD had lower motor strategy scores (swayed more on their hips) 28 than the normal children when forced to depend on vestibular cues alone to balance (p < 29 0.05). We conclude that children with DCD had deficits in standing balance control in 30 conditions that included reduced or conflicting sensory signals. The visual and vestibular 31 systems tended to be more involved in contributing to the balance deficits than the 32 somatosensory system. Moreover, children with DCD tended to use hip strategy excessively 33 when forced to rely primarily on vestibular signals to maintain postural stability. 34 35 1. Introduction 38 Developmental coordination disorder (DCD) is a fairly common disorder, affecting 39 approximately 6% of children of primary school age (APA, 2000). Common symptoms 40 include marked delays in achieving motor milestones, clumsiness, poor balance, poor 41 coordination and poor handwriting (APA, 2000; Cermak & Larkin, 2002). These motor 42 impairments significantly interfere with the child's academic achievements and activities of 43 daily living and cannot be explained by any other medical or intellectual condition (APA, 44 2000). Previous studies have reported that 73% to 87% of children with DCD have balance 45 problems (Macnab, Miller, & Polatajko, 2001). Their suboptimal balance is important and 46 needs to be tackled, because any impairment in postural control may limit the children's 47 activity and participation, increase the risk of falling and injury, and affect their motor skills 48 development (Fong, Lee, & Pang, 2011a; Grove & Lazarus, 2007). 49 Postural control requires the ability to integrate inputs from the somatosensory, visual 50 …
Insights into the Antimicrobial Mechanism of Action of Human RNase6: Structural Determinants for Bacterial Cell Agglutination and Membrane Permeation

Human Ribonuclease 6 is a secreted protein belonging to the ribonuclease A (RNaseA) superfamily, a vertebrate specific family suggested to arise with an ancestral host defense role. Tissue distribution analysis revealed its expression in innate cell types, showing abundance in monocytes and neutrophils. Recent evidence of induction of the protein expression by bacterial infection suggested an antipathogen function in vivo. In our laboratory, the antimicrobial properties of the protein have been evaluated against Gram-negative and Gram-positive species and its mechanism of action was characterized using a membrane model. Interestingly, our results indicate that RNase6, as previously reported for RNase3, is able to specifically agglutinate Gram-negative bacteria as a main trait of its antimicrobial activity. Moreover, a side by side comparative analysis with the RN6(1–45) derived peptide highlights that the antimicrobial activity is mostly retained at the protein N-terminus. Further work by site directed mutagenesis and structural analysis has identified two residues involved in the protein antimicrobial action (Trp1 and Ile13) that are essential for the cell agglutination properties. This is the first structure-functional characterization of RNase6 antimicrobial properties, supporting its contribution to the infection focus clearance.
Course of radiographic damage over 10 years in a cohort with early rheumatoid arthritis

Objective: To investigate development of radiographic damage in hands and feet of patients with early rheumatoid arthritis (RA) monitored prospectively for 10 years, and to search for prognostic factors. Patients and methods: 181 patients with early RA (mean disease duration one year) were assessed annually with radiographs of hands and feet during years 0–5 and at year 10. Radiographs were evaluated according to Larsen (range 0–200). Predictive factors for progressive disease for years 0–5 and 5–10 were evaluated by logistic regression analyses. Results: 82/168 (49%) patients had erosions at inclusion and almost all became erosive with time (90% after two years and 96% after 10 years). Radiographic progression was most rapid during the first two years and 75% of all damage occurred during the first five years. The median Larsen score increased from 6 at inclusion to 41 after five years and 54 after 10 years. Only 5.3% of all evaluated joints became maximally eroded, the second metacarpophalangeal joint being the most commonly affected. Mean ESR during the first three months and rheumatoid factor status were significant predictors for radiographic progressive disease, it was not possible to predict non-progressive disease. Conclusions: Joint damage in hands and feet developed early and progression was most rapid during the first years of disease. The different rates of progression at different stages should be considered in the design of trials of drugs aimed at retarding joint damage. Disease activity at study start influenced the degree of joint damage during the entire 10 years.
Mapping Biomedical Entities to MeSH to Recognize Hierarchical Relationships

In this paper, we present two approaches to map biomedical entities identified using the UMLS (Unified Medical Language System) Metathesaurus to the MeSH (Medical Subject Headings) ontology. The first approach utilizes a special feature provided by the MetaMap algorithm, whereas the other employs approximate phrase-based match to directly map entities to MeSH terms. These two approaches deliver comparable results with an accuracy of 72% and 75%, respectively, based on two evaluation datasets. A thorough error analysis, however, demonstrates that these two approaches result in only around 10% mutual errors, indicating the complementary nature of these two approaches.