Miracle-dz/UniFAR-FTUs huggingface dataset:
Self-reported Sleep Quality Predicts Poor Cognitive Performance in Healthy Older Adults Sleep Quality and Cognitive Performance Sleep Quality and Cognitive Performance

A LTHOUGH cognitive performance declines with increasing age in a variety of domains from intelligence to attention, there is substantial individual variability in the magnitude of these age-associated cognitive decrements (Ardila, 2007). Suggested sources for this variability have focused on individual differences in the amount of age-associated brain dysfunction such as cortical atrophy matter pathology (Gunning-Dixon & Raz, 2000), reductions in neurotransmitter receptor binding (Bäckman et al., 2000), etc. Another potential contributor to individual variability in age-associated cognitive impairment has a more functional basis — the amount, timing, and quality of sleep. Studies using experimental sleep restriction and sleep deprivation have documented dose-related cognitive impairments even in young adults (e.g., van Dongen, Maislin, Mullington, & Dinges, 2003). Many elderly individuals report chronic problems with sleep onset, duration, and maintenance and with associated adverse daytime consequences such as drowsiness, falls, and functional disability (Buysse et al., 1991 ; Vaz Fragoso & Gill, 2007). There is also evidence, mainly in younger adults, that poor subjective sleep quality, as seen in insomnia, may also be associated with cognitive impairments (Fulda & Schulz, 2001). Although there is a growing literature on the cognitive performance of older persons recruited as having chronic insomnia there is relatively little information available on the degree to which sleep disturbance may contribute to interindividual variability in cognitive performance in the type of healthy community volunteers used in most normal aging studies. Also, many of the studies investigating the relation between sleep quality and cognitive performance do not control for conditions known to impair both sleep and cognition (e.g., cerebrovascular disease, medications, depression). Such conditions could confound any conclusions drawn about the role that sleep disruption plays in the magnitude of the cognitive decrements associated with normal aging. Participants in the present study were community-dwelling individuals who were " not " recruited based on their sleep. Rather, they were participating in a naturalistic study designed to examine whether the anticholinergic medications taken by many older persons may contribute to age-associated decrements on tests thought to assess basic cognitive mechanisms (processing speed, attentional control, and working memory). Information on sleep quality was obtained because elderly individuals often use an-ticholinergic drugs such as antihistamines as a sleep aid (Basu, Dodge, Stoehr, & Ganguli, 2003), and thus, it was possible that sleep disturbance might contribute to any relation found between participants ' cognitive performance and their anticholinergic drug burden. The present analysis examined …
Automatic Selection of Sparse Matrix Representation on GPUs

Sparse matrix-vector multiplication (SpMV) is a core kernel in numerous applications, ranging from physics simulation and large-scale solvers to data analytics. Many GPU implementations of SpMV have been proposed, targeting several sparse representations and aiming at maximizing overall performance. No single sparse matrix representation is uniformly superior, and the best performing representation varies for sparse matrices with different sparsity patterns. In this paper, we study the inter-relation between GPU architecture, sparse matrix representation and the sparse dataset. We perform extensive characterization of pertinent sparsity features of around 700 sparse matrices, and their SpMV performance with a number of sparse representations implemented in the NVIDIA CUSP and cuSPARSE libraries. We then build a decision model using machine learning to automatically select the best representation to use for a given sparse matrix on a given target platform, based on the sparse matrix features. Experimental results on three GPUs demonstrate that the approach is very effective in selecting the best representation.
ExpLOD: A Framework for Explaining Recommendations based on the Linked Open Data Cloud

In this paper we present ExpLOD, a framework which exploits the information available in the Linked Open Data (LOD) cloud to generate a natural language explanation of the suggestions produced by a recommendation algorithm. The methodology is based on building a graph in which the items liked by a user are connected to the items recommended through the properties available in the LOD cloud. Next, given this graph, we implemented some techniques to rank those properties and we used the most relevant ones to feed a module for generating explanations in natural language. In the experimental evaluation we performed a user study with 308 subjects aiming to investigate to what extent our explanation framework can lead to more transparent, trustful and engaging recommendations. The preliminary results provided us with encouraging findings, since our algorithm performed better than both a non-personalized explanation baseline and a popularity-based one.
Learning a Generative Model of Images by Factoring Appearance and Shape

Computer vision has grown tremendously in the past two decades. Despite all efforts, existing attempts at matching parts of the human visual system's extraordinary ability to understand visual scenes lack either scope or power. By combining the advantages of general low-level generative models and powerful layer-based and hierarchical models, this work aims at being a first step toward richer, more flexible models of images. After comparing various types of restricted Boltzmann machines (RBMs) able to model continuous-valued data, we introduce our basic model, the masked RBM, which explicitly models occlusion boundaries in image patches by factoring the appearance of any patch region from its shape. We then propose a generative model of larger images using a field of such RBMs. Finally, we discuss how masked RBMs could be stacked to form a deep model able to generate more complicated structures and suitable for various tasks such as segmentation or object recognition.
AteGau: projector-based online fashion coordination system

We propose AteGau, a system that enables intuitive fashion coordination using both clothes from an online store and clothes from the user's own wardrobe. In our prototype, a projector is used to project images of clothes from an online store next to the user's real-world clothes. As an associated user interface, we implemented the tuck-in / tuck-out switcher, a clothes positioning guide and occasion selector. The user is able to make selections from a store's and real-world clothes to determine how they combine with each other.
Association of 1,5-anhydroglucitol with diabetes and microvascular conditions.

BACKGROUND 1,5-Anhydroglucitol (1,5-AG) is inversely related to hyperglycemia and may be a useful indicator of short-term (1-2 weeks) hyperglycemia and glycemic excursions, but its prognostic value is unclear. We sought to evaluate the associations of 1,5-AG with risk of diabetes and microvascular disease. METHODS We measured 1,5-AG in blood samples from over 10 000 participants in the ARIC (Atherosclerosis Risk in Communities) Study (baseline, 1990-1992) and characterized the independent associations with prevalent retinopathy and with incident chronic kidney disease and incident diabetes during approximately 20 years of follow-up. RESULTS We found that 1,5-AG was associated with prevalent retinopathy, driven primarily by the strong association in persons with diagnosed diabetes: adjusted odds ratio (OR) 11.26 (95% CI, 6.17-20.53) for <6 μg/mL compared to 1,5-AG ≥10 μg/mL. This result remained significant after further adjustment for hemoglobin A(1c) (Hb A(1c)) (OR, 4.85; 95% CI, 2.42-9.74). In persons with diagnosed diabetes, low 1,5-AG (<6 μg/mL vs ≥10 μg/mL) was also associated with a >2-fold increased risk of incident chronic kidney disease [adjusted hazard ratio (HR), 2.83; 95% CI, 2.15-3.74] and remained significant after adjustment for Hb A(1c) (HR, 1.43; 95% CI, 1.02-2.00). Nondiabetic participants with high 1,5-AG (≥10 μg/mL) had the lowest prevalence of retinopathy and lowest risk of kidney disease. In persons without diagnosed diabetes at baseline, 1,5-AG <10 μg/mL was also associated with incident diabetes (adjusted HR, 2.29; 95% CI, 2.03-2.58). CONCLUSIONS 1,5-AG was associated with long-term risk of important microvascular outcomes, particularly in persons with diagnosed diabetes and even after adjustment for Hb A(1c). Our results suggest 1,5-AG may capture risk information associated with hyperglycemic excursions.
Diversity Profile of Microbes Associated with Anaerobic Sulfur Oxidation in an Upflow Anaerobic Sludge Blanket Reactor Treating Municipal Sewage

We herein analyzed the diversity of microbes involved in anaerobic sulfur oxidation in an upflow anaerobic sludge blanket (UASB) reactor used for treating municipal sewage under low-temperature conditions. Anaerobic sulfur oxidation occurred in the absence of oxygen, with nitrite and nitrate as electron acceptors; however, reactor performance parameters demonstrated that anaerobic conditions were maintained. In order to gain insights into the underlying basis of anaerobic sulfur oxidation, the microbial diversity that exists in the UASB sludge was analyzed comprehensively to determine their identities and contribution to sulfur oxidation. Sludge samples were collected from the UASB reactor over a period of 2 years and used for bacterial 16S rRNA gene-based terminal restriction fragment length polymorphism (T-RFLP) and next-generation sequencing analyses. T-RFLP and sequencing results both showed that microbial community patterns changed markedly from day 537 onwards. Bacteria belonging to the genus Desulforhabdus within the phylum Proteobacteria and uncultured bacteria within the phylum Fusobacteria were the main groups observed during the period of anaerobic sulfur oxidation. Their abundance correlated with temperature, suggesting that these bacterial groups played roles in anaerobic sulfur oxidation in UASB reactors.
Evaluation of the Abbott Investigational Use Only RealTime Hepatitis C Virus (HCV) Assay and Comparison to the Roche TaqMan HCV Analyte-Specific Reagent Assay

ABSTRACT The accurate and sensitive measurement of hepatitis C virus (HCV) RNA is essential for the clinical management and treatment of infected patients and as a research tool for studying the biology of HCV infection. We evaluated the linearity, reproducibility, precision, limit of detection, and concordance of viral genotype quantitation of the Abbott investigational use only RealTime HCV (RealTime) assay using the Abbott m2000 platform and compared the results to those of the Roche TaqMan Analyte-Specific Reagent (TaqMan) and Bayer Versant HCV bDNA 3.0 assay. Comparison of 216 samples analyzed by RealTime and TaqMan assays produced the following Deming regression equation: RealTime = 0.940 (TaqMan) + 0.175 log10 HCV RNA IU/ml. The average difference between the assays was 0.143 log10 RNA IU/ml and was consistent across RealTime's dynamic range of nearly 7 log10 HCV RNA IU/ml. There was no significant difference between genotypes among these samples. The limit of detection using eight replicates of the World Health Organization HCV standard was determined to be 7.74 HCV RNA IU/ml by probit analysis. Replicate measurements of commercial genotype panels were significantly higher than TaqMan measurements for most samples and showed that the RealTime assay is able to detect all genotypes with no bias. Additionally, we showed that the amplicon generated by the widely used Roche COBAS Amplicor Hepatitis C Virus Test, version 2.0, can act as a template in the RealTime assay, but potential cross-contamination could be mitigated by treatment with uracil-N-glycosylase. In conclusion, the RealTime assay accurately measured HCV viral loads over a broad dynamic range, with no significant genotype bias.
Program and interface slicing for reverse engineering

Reverse engineering involves a great deal of effort in comprehension of the current implementation of a software system and the ways in which it differs from the original design. Automated support tools are critical to the success of such efforts. It is shown how program slicing techniques can be employed to assist in the comprehension of large software systems, through traditional slicing techniques at the statement level, and through a new technique, interface slicing, at the module level. <<ETX>>
Validity and reliability of an Arabic version of the state-trait anxiety inventory in a Saudi dental setting

Objectives: To test the psychometric properties of an adapted Arabic version of the state trait anxiety-form Y (STAI-Y) in Saudi adult dental patients. Methods: In this cross-sectional study, the published Arabic version of the STAI-Y was evaluated by 2 experienced bilingual professionals for its compatibility with Saudi culture and revised prior to testing. Three hundred and eighty-seven patients attending dental clinics for treatment at the Faculty of Dentistry Hospital, King Abdullah University, Jeddah, Kingdom of Saudi Arabia, participated in the study. The Arabic version of the modified dental anxiety scale (MDAS) and visual analogue scale (VAS) ratings of anxiety were used to assess the concurrent criterion validity. Results: The Arabic version of the STAI-Y had high internal consistency reliability (Cronbach’s alpha: 0.989) for state and trait subscales. Factor analysis indicated unidimensionality of the scale. Correlations between STAI-Y scores and both MDAS and VAS scores indicated strong concurrent criterion validity. Discriminant validity was supported by the findings that higher anxiety levels were present among females as opposed to males, younger individuals as compared to older individuals, and patients who do not visit the dentist unless they have a need as opposed to more frequent visitors to the dental office. Conclusion: The Arabic version of the STAI-Y has an adequate internal consistency reliability, generally similar to that reported in the international literature, suggesting it is appropriate for assessing dental anxiety in Arabic speaking populations.
Cogrinding as a Tool to Produce Sustained Release Behavior for Theophylline Particles Containing Magnesium Stearate

The aim of the present study was to explore the cogrinding technique as a tool to slow down the drug release from capsule formulations. To this end, the physical mixtures of theophylline–magnesium stearate were prepared and subjected to different milling times (1, 15, 30, 120 min). In order to investigate the effect of magnesium stearate concentration on drug release, various concentrations of magnesium stearate (1%, 3%, 5%, and 10%, w/w) were used. The dissolution rate of the drug from coground samples and physical mixtures were determined at pH 6.5 according to USP. The results showed that all coground formulations showed slower release rates than their physical mixture counterparts. The effect of cogrinding time on the drug release was complex. Cogrinding time had no significant effect on drug release when the amount of magnesium stearate was 1% (w/w). When the amount of magnesium stearate was increased from 1% to 3% and cogrinding time increased from 1 to 5 min, there was a significant reduction in drug release. Beyond 5-min cogrinding, the drug release increased again. For coground samples containing 5% or 10% (w/w) magnesium stearate, generally, the highest drug release was obtained at higher cogrinding time. This was due to a significant increase in surface area of particles available for dissolution as proven by scanning electron microscopy results. Fourier transform infrared and differential scanning calorimetry results ruled out any significant interaction between theophylline and magnesium stearate in solid state.
XPS studies of Surface Ageing and Discharge Processes in Polymeric Insulators

The ageing of polymer insulation occurs under long-term exposure to high electric fields and has attracted research due its relevance to high voltage insulation. In this work, polymers that have been electrically aged via a number of methods have been investigated using X-ray photoelectron spectroscopy (XPS). Despite some use in the investigation of outdoor insulation surfaces, XPS has not been used for investigations of polymer bulk electrical ageing before now. The first XPS measurements, using both small spot analysis and XPS imaging, are presented from the exposed inner surfaces of electrically aged artificial voids and electrical breakdown channels, as well as corona discharge aged surfaces and spark discharge by-products. XPS is shown to be a valuable technique for the investigation of polymer electrical ageing. Investigations into breakdown channels are supported by data acquired using X-ray photoemission electron microscopy (XPEEM) and scanning electron microscopy (SEM). Results show that the chemistry present at these surfaces takes the form of significant oxidation over a wide area with localised production of graphitic carbon. C-O-, C=O, and O-C=O species are detected in all cases. It is found that similar ageing products are present regardless of the ageing process or material investigated. However, the level of oxidation and relative ratio of the species seen with XPS is shown to be highly dependant on oxygen availability. Greater intensity of carbon oxides, and a shift towards highly oxidised species, is observed when there is more oxygen in the system. XPS imaging of breakdown channels reveals that high concentrations of oxidised components form on the outer edges of the channel, with graphitic carbon forming in the central regions. In addition, evidence for degradation is seen to extend at least 300 ? m from channels in XPS imaging and at least ~650 ? m in XPS line scans.Variation with the applied discharge energy was investigated for breakdown channels and spark discharge ageing. Evidence is seen for an energy dependence on the breakdown products, with higher energies producing relatively higher graphitic carbon and reduced oxidation products. Further, the relationship between the applied voltage and graphitic carbon concentration suggests an activated process with an energy barrier before graphitic carbon formation starts.XPS observations are supported by confocal Raman microprobe spectroscopy (CRMS) results from artificial voids and electrical breakdown channels, which identify graphitic carbon on a fluorescent background as the main features. XPS data indicate oxidised species are the origin of the fluorescence seen and provides quantitative information on the levels, chemical states and spatial distribution of these species and of graphitic carbon.
An ambient agent model for monitoring and analysing dynamics of complex human behaviour

In ambient intelligent systems, monitoring of a human could consist of more complex tasks than merely identifying whether a certain value of a sensor is above a certain threshold. Instead, such tasks may involve monitoring of complex dynamic interactions between human and environment. In order to enable such more complex types of monitoring, this paper presents a generic agent-based framework. The framework consists of support on various levels of system design, namely: (1) the top level, including the interaction between agents, (2) the agent level, providing support on the design of individual agents, and (3) the level of monitoring complex dynamic behaviour, allowing the specification of the aforementioned complex monitoring properties within the agents. The approach is exemplified by a large case study concerning the assessment of driving behaviour, and is applied to two smaller cases as well (concerning fall detection of elderly, and assistance of naval operations, respectively), which are briefly described. These case studies have illustrated that the presented framework enables developers within ambient intelligence to build systems with more expressiveness regarding their monitoring focus. Moreover, they have shown that the framework is easy to use and applicable in a wide variety of domains.
Predicting Functional Outcome after Stroke: The Influence of Neglect on Basic Activities in Daily Living

One prominent deficit resulting from stroke is visuo-spatial neglect, which has been associated with slower and more attenuated recovery patterns of sensory-motor impairment as well as limitations in activities of daily living (ADL). The aim of the current study was to further specify the relationship between neglect and recovery of different domains of ADL. One hundred eighty four patients were assessed with the Functional Independence Measure in the first week of inpatient rehabilitation, and again at 6, 12, and 36 months post-stroke. On average, neglect patients scored significantly lower on Self-care, Transfers, and Locomotion compared to non-neglect patients, but these differences became smaller with progress of time. Overall, no differences between groups were found for Sphincter control and Cognition. Patients with more severe neglect scored significantly lower on Self-care and Transfers compared to patients with mild neglect. During rehabilitation, it would be of importance to test for independence in ADL domains in neglect in order to define realistic treatment goals. The current findings could be taken into account in early multidisciplinary intervention planning in the sub-acute phase, to optimize regaining ADL.
A novel microtubule-based motor protein (KIF4) for organelle transports, whose expression is regulated developmentally

To understand the mechanisms of transport for organelles in the axon, we isolated and sequenced the cDNA encoding KIF4 from murine brain, and characterized the molecule biochemically and immunocytochemically. Complete amino acid sequence analysis of KIF4 and ultrastructural studies of KIF4 molecules expressed in Sf9 cells revealed that the protein contains 1,231 amino acid residues (M(r) 139,550) and that the molecule (116-nm rod with globular heads and tail) consists of three domains: an NH2-terminal globular motor domain, a central alpha-helical stalk domain and a COOH-terminal tail domain. KIF4 protein has the property of nucleotide-dependent binding to microtubules, microtubule- activated ATPase activity, and microtubule plus-end-directed motility. Northern blot analysis and in situ hybridization demonstrated that KIF4 is strongly expressed in juvenile tissues including differentiated young neurons, while its expression is decreased considerably in adult mice except in spleen. Immunocytochemical studies revealed that KIF4 colocalized with membranous organelles both in growth cones of differentiated neurons and in the cytoplasm of cultured fibroblasts. During mitotic phase of cell cycle, KIF4 appears to colocalize with membranous organelles in the mitotic spindle. Hence we conclude that KIF4 is a novel microtubule-associated anterograde motor protein for membranous organelles, the expression of which is regulated developmentally.