Miracle-dz/UniFAR-FTUs huggingface dataset:
The Effect of Vitamin D Supplementation on Glycemic Control and Lipid Profile in Patients with Type 2 Diabetes Mellitus

Aim: The aim of this study was to evaluate the effect of vitamin D supplementation in patients with type 2 diabetes mellitus (T2DM) with regard to their glycemic control and lipid profile. Methods: One hundred subjects with T2DM were recruited and given 4500 IU/day of vitamin D for 2 months. 25-Hydroxyvitamin D [25(OH)D], fasting blood glucose (FBG), glycosylated hemoglobin A1c (HbA1c), and lipid profile were measured pre- and postsupplementation. Results: There was a significant increase in the mean value of 25(OH)D level after supplementation (baseline level 16 ± 5.3 ng/ml vs. after supplement level 49.2 ± 17.7 ng/ml, p < 0.05). Both FBG and HbA1c but not lipid profile were significantly decreased after supplementation. However, the univariate general linear model between 25(OH)D percentiles and lipid profile levels showed that diabetic subjects with high 25(OH)D levels (>61 ng/ml) had significantly lower levels of total cholesterol and low-density lipoprotein cholesterol (LDL-C) in comparison to those in the low or middle percentiles. Furthermore, participants in a higher percentile had a significantly higher level of high-density lipoprotein cholesterol (HDL-C) than those in the middle percentile. Lipid profile levels were not affected by the supplement except for triglycerides (TG) levels in females, which were significantly decreased. Conclusions: Vitamin D supplementation may be beneficial to diabetic subjects because it improved glycemic control. Diabetic subjects with high 25(OH)D levels (>61 ng/ml) had better lipid profiles.
Acellular dermal matrix allografts to achieve increased attached gingiva. Part 1. A clinical study.

BACKGROUND Freeze-dried acellular dermal matrix (ADM) allograft, originally used for full-thickness burn wounds, was recently introduced as an alternative to the autogenous free gingival graft (FGG) in achieving increased attached keratinized tissue. The aim of part 1 of this study was to investigate the clinical efficacy of the ADM allograft for this particular purpose. METHODS Twelve patients, 7 males and 5 females, with attached gingiva < or =1 mm on the facial aspect of mandibular anterior teeth demonstrating a tendency of progressive marginal tissue recession, were randomly assigned to either test or control treatment. Six patients received ADM graft (test) and 6 patients received an autogenous FGG harvested from the hard palate (control). Clinical variables including plaque index (PI), gingival index (GI), probing depth (PD), attached tissue width (AT), and gingival recession (GR) were recorded immediately before surgery and at the 6-month postoperative visit. Patients were seen at 2, 4, 6, 8, and 12 weeks to monitor wound healing and oral hygiene performance (PI and GI). Graft width was also measured, in corono-apical direction, on individually involved teeth during the surgery. RESULTS When values between baseline and 6 months were compared in both groups, there was no statistically significant difference in changes of PI, GI, PD, and GR (P>0.05) with the exception of PD in the FGG group (1.01 +/- 0.03 versus 1.27 +/- 0.20 mm, P= 0.042). There was a statistically significant (P <0.05) increase in AT in both groups. Although the ADM group received wider grafts than the FGG group (8.81 +/- 0.46 versus 6.70 +/- 0.89 mm), the AT gain was significantly smaller (2.59 +/- 0.92 versus 5.57 +/- 0.44 mm) and the graft shrinkage significantly greater (71 +/- 10% versus 16 +/- 12%) in the ADM group than in the FGG group (P<0.01). CONCLUSIONS The results of this study suggest that in procedures aiming at increasing the width of attached gingiva: 1) the ADM allograft was less effective and less predictable than the autogenous FGG in terms of increasing attached keratinized tissue due to considerable shrinkage and inconsistent quality of the attached tissue gained and 2) the esthetic results using the ADM allograft might be better than those using the autogenous FGG.
The Metabolic Response to Stress: An Overview and Update

Recent investigation has demonstrated that the response to stress is mediated by complex interactions between the nervous, endocrine, immune, and hematopoietic systems. Not only is the neuroendocrine system operative but monokines and lymphokines, such as IL-1, IL-6, and TNF, also play important roles. The discovery of these mediators, along with that of macrophage-derived substances that operate at the local wound level, such as platelet-derived, basic fibroblast, transforming, and epidermal growth factors, coupled with advances in molecular biology portends much for the future. The ability to alter the endocrine response with techniques such as epidural anesthesia, the ability to specifically block certain aspects of the response (e.g., with adrenergic and prostaglandin antagonists), and the ability to synthesize potential beneficial mediators with recombinant DNA techniques (e.g., GH) may allow for modulating the response to decrease debility and complications.
Use of a commercially available culture system for diagnosis of Tritrichomonas foetus infection in cats.

OBJECTIVE To evaluate the efficacy of and optimize a commercially available culture system for sensitive and specific in-clinic culture of Tritrichomonas foetus from cat feces. DESIGN Prospective study. SAMPLE POPULATION Samples of freshly voided feces from 117 purebred cats and pure cultures of T. foetus obtained from a cat with chronic diarrhea. PROCEDURE Optimal conditions for use of the culture system, such as quantity of fecal inoculum (0.025 to 0.2 g) and cultivation temperature (25 or 37 degrees C [98.6 or 77.0 degrees F]), were determined. Specificity of the system was examined by attempted culture of Giardia lamblia and Pentatrichomonas hominis. Sensitivity of the system to detect T. foetus was determined by inoculation of culture system pouches with serially diluted T. foetus suspensions with and without feces. RESULTS Detection limit of the culture system was 1 and 1,000 T. foetus organisms without and with feces from cats, respectively. Optimal fecal inoculum was < 0.1 g of feces. At 37 degrees C, cultures yielded positive results in 24 hours; organisms remained viable for 1 to 6 days, and bacterial overgrowth was common. At 25 degrees C, cultures yielded positive results in 1 to 11 days; organisms were long-lived, and bacterial overgrowth was uncommon. Neither G. lamblia or P. hominis survived in the culture system. CONCLUSIONS AND CLINICAL RELEVANCE The culture system was sensitive and specific for culture of T. foetus in feces of cats. Performance was optimal when test kits were inoculated with < or = 0.1 g of freshly voided feces and cultured at 25 degrees C.
TRIM5α Disrupts the Structure of Assembled HIV-1 Capsid Complexes In Vitro

ABSTRACT The host restriction factor TRIM5α provides intrinsic defense against retroviral infections in mammalian cells. TRIM5α blocks infection by targeting the viral capsid after entry but prior to completion of reverse transcription, but whether this interaction directly alters the structure of the viral capsid is unknown. A previous study reported that rhesus macaque TRIM5α protein stably associates with cylindrical complexes formed by assembly of recombinant HIV-1 CA-NC protein in vitro and that restriction leads to accelerated HIV-1 uncoating in target cells. To gain further insight into the mechanism of TRIM5α-dependent restriction, we examined the structural effects of TRIM5 proteins on preassembled CA-NC complexes by electron microscopy. Incubation of assembled complexes with lysate of cells expressing the restrictive rhesus TRIM5α protein resulted in marked disruption of the normal cylindrical structure of the complexes. In contrast, incubation with lysate of control cells or cells expressing comparable levels of the nonrestrictive human TRIM5α protein had little effect on the complexes. Incubation with lysate of cells expressing the TRIMCyp restriction factor also disrupted the cylinders. The effect of TRIMCyp was prevented by the addition of cyclosporine, which inhibits binding of TRIMCyp to the HIV-1 capsid. Thus, disruption of CA-NC cylinders by TRIM5α and TRIMCyp was correlated with the specificity of restriction. Collectively, these results suggest that TRIM5α-dependent restriction of HIV-1 infection results from structural perturbation of the viral capsid leading to aberrant HIV-1 uncoating in target cells.
Satellite Image Segmentation for Building Detection using U-net

Automatically detecting buildings from satellite images has a lot of potential applications, from monitoring movements of populations in remote areas to evaluating the available surface to implant solar panels on roofs. We develop a Convolutional Neural Network for the extraction of buildings from satellite images, adapted from a U-net originally developed for biomedical image segmentation. We train our model on satellite images and on ground-truth labels extracted from OpenStreetMap. We show that our model achieves a reasonable level of accuracy, though slightly lower than state-of-the-art, and outline some ideas for further improvements.
Infant Sleep Predicts Attention Regulation and Behavior Problems at 3–4 Years of Age

This longitudinal study assessed the role of early sleep patterns in predicting attention regulation and behavior problems. Sleep of 43 infants was assessed using actigraphy at 12 months of age and then reassessed when the children were 3–4 years old. During this follow-up, their attention regulation and behavior problems were also assessed using a computerized test and parental reports. Lower quality of sleep in infancy significantly predicted compromised attention regulation and behavior problems. These findings underscore the need to identify and treat early sleep problems.
Error Analysis of Motor-Efficiency Estimation and Measurement

Uncertainties and errors exist in all areas of the scientific and engineering world. Accurate error analysis is needed to justify the correctness of the experimental results and investigate the effects of errors in motor efficiency estimation and measurement. This paper presents the classification and mathematical derivation of the errors in motor efficiency evaluation. An extended motor efficiency error analysis, using the maximum error estimation (MEE), worst-case error estimation (WCEE), and realistic error estimation (REE) techniques, is presented. Two efficiency methods, the direct efficiency measurement and the nonintrusive air-gap torque (NAGT) methods, are analyzed, considering all possible error sources. It is concluded that the REE method provides the most accurate error estimate. For the NAGT method, REE predicts the motor efficiency estimation error to be within plusmn2.25%, which agrees well with the 2.0% error obtained from the experimental results. Another contribution of this paper is that the influence of each error source (motor variable) on the motor efficiency evaluation accuracy can be quantified and ranked. This will greatly facilitate efficiency evaluation method improvement and experimental instruments selection.
Evaluating random mutant selection at class-level in projects with non-adequate test suites

Mutation testing is a standard technique to evaluate the quality of a test suite. Due to its computationally intensive nature, many approaches have been proposed to make this technique feasible in real case scenarios. Among these approaches, uniform random mutant selection has been demonstrated to be simple and promising. However, works on this area analyze mutant samples at project level mainly on projects with adequate test suites. In this paper, we fill this lack of empirical validation by analyzing random mutant selection at class level on projects with non-adequate test suites. First, we show that uniform random mutant selection underachieves the expected results. Then, we propose a new approach named weighted random mutant selection which generates more representative mutant samples. Finally, we show that representative mutant samples are larger for projects with high test adequacy.
Narratives of a man with severe chronic heart failure and his wife in palliative advanced home care over a 4.5-year period

The aim of this paper is to illuminate meanings of living the ‘ups and downs’, through the narratives of one man with severe, chronic heart failure (CHF) and his wife in palliative advanced home care (PAHC). Narrative interviews were conducted over a 4.5-year period and a phenomenological–hermeneutic method was used to interpret the text. The analysis resulted in one theme and four sub-themes. Meanings of living the ‘ups and downs’ is symbolically understood as being captive in a roller-coaster ride, side by side. In togetherness one helps one another to integrate the illness into everyday life. When, the inevitable ‘downs’ come one alleviates them as much as possible and/or just endures them waiting to see if one outlives them. During the ‘ups’ one seizes every opportunity to live, doing the things one likes and discovering new possibilities in life. Sharing the safety belt on the ‘roller coaster’, offered by the PAHC team, evokes feelings of security. However, the safety belt is adjusted to the man with severe CHF leaving the wife without comfort and at times uncertain, especially in the deepest ‘downs’. Our results indicate that the importance of medical treatment may increase over time.The ability to recognize symptoms and signs of deterioration may be facilitated by a trusted PAHC team’s repeated questions about the condition. Furthermore it is important to offer support directly to the close relatives.
Fast algorithms for comprehensive n-point correlation estimates

The n-point correlation functions (npcf) are powerful spatial statistics capable of fully characterizing any set of multidimensional points. These functions are critical in key data analyses in astronomy and materials science, among other fields, for example to test whether two point sets come from the same distribution and to validate physical models and theories. For example, the npcf has been used to study the phenomenon of dark energy, considered one of the major breakthroughs in recent scientific discoveries. Unfortunately, directly estimating the continuous npcf at a single value requires O(Nn) time for $N$ points, and n may be 2, 3, 4 or even higher, depending on the sensitivity required. In order to draw useful conclusions about real scientific problems, we must repeat this expensive computation both for many different scales in order to derive a smooth estimate and over many different subsamples of our data in order to bound the variance. We present the first comprehensive approach to the entire n-point correlation function estimation problem, including fast algorithms for the computation at multiple scales and for many subsamples. We extend the current state-of-the-art tree-based approach with these two algorithms. We show an order-of-magnitude speedup over the current best approach with each of our new algorithms and show that they can be used together to obtain over 500x speedups over the state-of-the-art in order to enable much larger datasets and more accurate scientific analyses than were possible previously.
Proportionally Representative Participatory Budgeting: Axioms and Algorithms

Participatory budgeting is one of the exciting developments in deliberative grassroots democracy. We concentrate on approval elections and propose proportional representation axioms in participatory budgeting, by generalizing relevant axioms for approval-based multi-winner elections. We observe a rich landscape with respect to the computational complexity of identifying proportional budgets and computing such, and present budgeting methods that satisfy these axioms by identifying budgets that are representative to the demands of vast segments of the voters.
Retinal Image Denoising via Bilateral Filter with a Spatial Kernel of Optimally Oriented Line Spread Function

Filtering belongs to the most fundamental operations of retinal image processing and for which the value of the filtered image at a given location is a function of the values in a local window centered at this location. However, preserving thin retinal vessels during the filtering process is challenging due to vessels' small area and weak contrast compared to background, caused by the limited resolution of imaging and less blood flow in the vessel. In this paper, we present a novel retinal image denoising approach which is able to preserve the details of retinal vessels while effectively eliminating image noise. Specifically, our approach is carried out by determining an optimal spatial kernel for the bilateral filter, which is represented by a line spread function with an orientation and scale adjusted adaptively to the local vessel structure. Moreover, this approach can also be served as a preprocessing tool for improving the accuracy of the vessel detection technique. Experimental results show the superiority of our approach over state-of-the-art image denoising techniques such as the bilateral filter.
Exploring Coherent Motion Patterns via Structured Trajectory Learning for Crowd Mood Modeling

Crowd behavior analysis has recently attracted extensive attention in research. However, the existing research mainly focuses on investigating motion patterns in crowds, while the emotional aspects of crowd behaviors are left unexplored. Analyzing the emotion of crowd behaviors is indeed extremely important, as it uncovers the social moods that are beneficial for video surveillance. In this paper, we propose a novel crowd representation termed crowd mood. Crowd mood is established based upon the discovery that the social emotional hypothesis of crowd behaviors can be revealed by investigating the spacing interactions and the structural levels of motion patterns in crowds. To this end, we first learn the structured trajectories of crowds by particle advection using low-rank approximation with group sparsity constraint, which implicitly characterizes the coherent motion patterns. Second, rich emotional motion features are explicitly extracted and fused by support vector regression to reflect social characteristics. In particular, we construct weighted features in a boosted manner by considering the features’ significance. Finally, crowd mood is intuitively presented as affective curves to track the emotion states of the crowd dynamics, which is robust to noise, sensitive to semantic shift, and compact for pattern expressions. Extensive evaluations on crowd video data sets demonstrate that our approach effectively models crowd mood and achieves significantly better results with comparisons to several alternative and state-of-the-art approaches for various tasks, i.e., crowd mood classification, global abnormal mood detection, and crowd emotion matching.
People Tracking with the Laplacian Eigenmaps Latent Variable Model

Reliably recovering 3D human pose from monocular video requires models that bias the estimates towards typical human poses and motions. We construct priors for people tracking using the Laplacian Eigenmaps Latent Variable Model (LELVM). LELVM is a recently introduced probabilistic dimensionality reduction model that combines the advantages of latent variable models—a multimodal probability density for latent and observed variables, and globally differentiable nonlinear mappings for reconstruction and dimensionality reduction—with those of spectral manifold learning methods—no local optima, ability to unfold highly nonlinear manifolds, and good practical scaling to latent spaces of high dimension. LELVM is computationally efficient, simple to learn from sparse training data, and compatible with standard probabilistic trackers such as particle filters. We analyze the performance of a LELVM-based probabilistic sigma point mixture tracker in several real and synthetic human motion sequences and demonstrate that LELVM not only provides sufficient constraints for robust operation in the presence of missing, noisy and ambiguous image measurements, but also compares favorably with alternative trackers based on PCA or GPLVM priors.
Proteolytic Degradation of Silk Fibroin Scaffold by Protease XXIII

Two-dimensional silk scaffolds were directly spun on the glass plates by Bombyx mori (called locally Nang- Lai) silkworms and used as subject for proteolytic degradation study with protease XXIII. The silk scaffolds were incu- bated with enzyme solution at 37 °C up to 10 weeks. Those of the scaffold properties: surface morphology, secondary structure, mass loss, degradation ratios and particle sizes were investigated. Silk fibroin scaffolds slightly changed of their structure after exposure to the protease. They were also loose of mass greater than 20% at the end of enzyme incubation periods. Much degradation of the scaffolds was quickly during the 4 weeks and scattering of the particle sizes between 1 to 15 μm were found. The results suggested that protease XXIII is an enzyme which could be degraded of the silk fibroin. Therefore, it will be used this enzyme as model study or for preparing silk material for further applications.
The evolution of dual meat and milk cattle husbandry in Linearbandkeramik societies

Cattle dominate archaeozoological assemblages from the north-central Europe between the sixth and fifth millennium BC and are frequently considered as exclusively used for their meat. Dairy products may have played a greater role than previously believed. Selective pressure on the lactase persistence mutation has been modelled to have begun between 6000 and 4000 years ago in central Europe. The discovery of milk lipids in late sixth millennium ceramic sieves in Poland may reflect an isolated regional peculiarity for cheese making or may signify more generalized milk exploitation in north-central Europe during the Early Neolithic. To investigate these issues, we analysed the mortality profiles based on age-at-death analysis of cattle tooth eruption, wear and replacement from 19 archaeological sites of the Linearbandkeramik (LBK) culture (sixth to fifth millennium BC). The results indicate that cattle husbandry was similar across time and space in the LBK culture with a degree of specialization for meat exploitation in some areas. Statistical comparison with reference age-at-death profiles indicate that mixed husbandry (milk and meat) was practised, with mature animals being kept. The analysis provides a unique insight into LBK cattle husbandry and how it evolved in later cultures in central and western Europe. It also opens a new perspective on how and why the Neolithic way of life developed through continental Europe and how dairy products became a part of the human diet.
Lead Contractor: Otto-von-guericke Universität Magdeburrg (gauss) Revision 1.0 Research Report on Watermarking Fundamentals (proceedings of the Wavila Workshop on Watermarking Fundamentals)

This deliverable contains all contributed papers that were presented at the “First WAVILA Challenge”, which was held as ECRYPT workshop in Barcelona (Spain) on June 8-9, 2005. The workshop addressed two main topics, namely watermarking schemes secure against geometric changes and security aspects of fingerprinting techniques. Research Report on Watermarking Fundamentals (Proceedings of the WAVILA Workshop on Watermarking Fundamentals) Editor Mauro Barni (CNIT) Jana Dittmann (GAUSS) Jordi Herrera-Joancomart́ı (UVIGO-UOC) Stefam Katzenbeisser (GAUSS) Fernando Pérez-González (UVIGO) 30. June 2005 Revision 1.0 The work described in this report has in part been supported by the Commission of the European Communities through the IST program under contract IST-2002-507932. The information in this document is provided as is, and no warranty is given or implied that the information is fit for any particular purpose. The user thereof uses the information at its sole risk and liability.