Miracle-dz/UniFAR-FTUs huggingface dataset:
Better Survival of Random Pattern Skin Flaps Through the Use of Epigallocatechin Gallate

BACKGROUND Surgical skin flaps are useful, but flap necrosis is a common problem. Epigallocatechin gallate (EGCG), the major polyphenol of green tea, has been investigated as a neovascularization agent to counteract necrosis. OBJECTIVES To evaluate the effect of EGCG on random pattern skin flap survival. MATERIALS AND METHODS The rat dorsal skin flap model was employed. One hundred rats were divided into five groups of equal size. Experimental Group A received local injection of EGCG to the flap, experimental Group B received topical application of EGCG, control Group C received local injection of saline, control Group D received topical application of an acetone–olive oil mixture, and control Group E received no treatment. The surviving area of the flap, regional blood perfusion, capillary density, and vascular endothelial growth factor (VEGF) expression were evaluated. RESULTS We observed a larger area of skin flap survival in Groups A and B than in the control groups. Doppler measurement showed greater perfusion in Groups A and B, and the capillary density and VEGF expression were significantly higher in the experimental animals. CONCLUSION The EGCG treatment enhanced neovascularization and regional perfusion and, as a result, improved skin flap survival.
Real-Time Dynamic Hand Gesture Recognition

A real time dynamic hand gesture recognition system is performed in this paper. The eleven kinds of hand gestures have been dynamic recognized, which represent the number from one to nine. The dynamic images are caught by a dynamic video. We use the YCbCrcolor space transformation to detect the skin color and to find the hand contour from the complex background. Convex defect character points of the hand contour are defined, and the finger angles and fingertip positions are calculated to recognize the hand gestures. The OpenCV is used to perform our research. Ten tested users produce 330 cases to recognize eleven hand gestures, and each hand gestures have three different poses of hand gestures. The accurate recognition rate is 95.1%.
Role of conserved nucleotides in building the 16 S rRNA binding site for ribosomal protein S15.

Ribosomal protein S15 recognizes a highly conserved target on 16 S rRNA, which consists of two distinct binding regions. Here, we used extensive site-directed mutagenesis on a Escherichia coli 16 S rRNA fragment containing the S15 binding site, to investigate the role of conserved nucleotides in protein recognition and to evaluate the relative contribution of the two sites. The effect of mutations on S15 recognition was studied by measuring the relative binding affinity, RNA probing and footprinting. The crystallographic structure of the Thermus thermophilus complex allowed molecular modelling of the E. coli complex and facilitated interpretation of biochemical data. Binding is essentially driven by site 1, which includes a three-way junction constrained by a conserved base triple and cross-strand stacking. Recognition is based mainly on shape complementarity, and the role of conserved nucleotides is to maintain a unique backbone geometry. The wild-type base triple is absolutely required for protein interaction, while changes in the conserved surrounding nucleotides are partially tolerated. Site 2, which provides functional groups in a conserved G-U/G-C motif, contributes only modestly to the stability of the interaction. Binding to this motif is dependent on binding at site 1 and is allowed only if the two sites are in the correct relative orientation. Non-conserved bulged nucleotides as well as a conserved purine interior loop, although not directly involved in recognition, are used to provide an appropriate flexibility between the two sites. In addition, correct binding at the two sites triggers conformational adjustments in the purine interior loop and in a distal region, which are known to be involved for subsequent binding of proteins S6 and S18. Thus, the role of site 1 is to anchor S15 to the rRNA, while binding at site 2 is aimed to induce a cascade of events required for subunit assembly.
Kenyan Plasmodium falciparum Field Isolates: Correlation between Pyrimethamine and Chlorcycloguanil Activity In Vitro and Point Mutations in the Dihydrofolate Reductase Domain

ABSTRACT Sixty-nine Kenyan Plasmodium falciparum field isolates were tested in vitro against pyrimethamine (PM), chlorcycloguanil (CCG), sulfadoxine (SD), and dapsone (DDS), and their dihydrofolate reductase (DHFR) genotypes were determined. The in vitro data show that CCG is more potent than PM and that DDS is more potent than SD. DHFR genotype is correlated with PM and CCG drug response. Isolates can be classified into three distinct groups based on their 50% inhibitory concentrations (IC50s) for PM and CCG (P< 0.01) and their DHFR genotypes. The first group consists of wild-type isolates with mean PM and CCG IC50s of 3.71 ± 6.94 and 0.24 ± 0.21 nM, respectively. The second group includes parasites which all have mutations at codon 108 alone or also at codons 51 or 59 and represents one homogeneous group for which 25- and 6-fold increases in PM and CCG IC50s, respectively, are observed. Parasites with mutations at codons 108, 51, and 59 (triple mutants) form a third distinct group for which nine- and eightfold increases in IC50s, respectively, of PM and CCG compared to the second group are observed. Surprisingly, there is a significant decrease (P < 0.01) of SD and DDS susceptibility in these triple mutants. Our data show that more than 92% of Kenyan field isolates have undergone at least one point mutation associated with a decrease in PM activity. These findings are of great concern because they may indicate imminent PM-SD failure, and there is no affordable antimalarial drug to replace PM-SD (Fansidar).
Tissue microarrays and their use for preparation of reference slides for educational purposes in histology and histopathology

Use of Tissue array was first applied in 1998, and has received a significant amount of attention from the research community ever since. In this technique, a large number (up to 1000) of cylindrical tissue core extracted from \"donor\" paraffin block are deposited into \"recipient\" block. The aim was modification of the technique of tissue array for manual preparation of the recipient block and production of slides of educational interest in histology and histopathology. The area of interest was localized with the help of stained section, the area was punctured, and the cylindrical core of tissue removed was then introduced into another (recipient) paraffin block. Puncture method was suitable only for parenchymatous organs (liver, kidney, heart, spleen, etc.) but longitudinal sections were required for tubular (gastrointestinal tract, urinary tract, genital tract) and hollow organs (gallbladder, urinary bladder) and brain. The method described is of importance in procurement of materials for preparation of slides for educational purposes and in overcoming the shortage of these materials especially in the field of pathology African Journal of Health Sciences Vol. 13 (3-4) 2006: pp. 66-69
Population dynamics of HIV within an individual after treatment with zidovudine

A new mechanism is proposed for the apparent breakthrough of HIV that occurs approximately 6 months after the commencement of therapy with zidovudine (AZT). Using a simple mathematical model of the interacting population dynamics of HIV and its major host cell in the circulation (the CD4+ lymphocyte), predicted patterns of HIV plasma viraemia in the weeks following treatment with zidovudine are generated. These are in close agreement with observed patterns despite the fact that the model contains no mechanisms for the development of drug-resistant strains of virus. It is suggested that the patterns of viral abundance observed during the first 6 months after treatment may be the result of non-linearities in the interactions between HIV and CD4+ cells, and that it is only after the first post-treatment burst of viral production that drug resistance plays an important role.
Delayed administration of deferoxamine reduces brain damage and promotes functional recovery after transient focal cerebral ischemia in the rat

The mechanisms underlying functional recovery after stroke are poorly understood. Brain‐adaptive responses to the hypoxic stress elicited by ischemia could contribute to these mechanisms. Indeed, hypoxia‐inducible factor‐1 (HIF‐1), one of the main transcriptional factors regulated by oxygen level, increases the expression of several beneficial genes such as erythropoietin, glucose transporter‐1 and vascular endothelial growth factor. In order to strengthen the expression of these hypoxia‐inducible factors, we administered deferoxamine, an iron chelator known to stabilize HIF‐1α protein expression, and examined its effects on the functional deficits induced by ischemia. Anesthetized Sprague–Dawley rats were subjected to 60 min of intraluminal occlusion of the middle cerebral artery. Chronic deferoxamine treatment (300 mg/kg, s.c.), or its vehicle, started 24 h after ischemia and was continued bi‐weekly until the animals were killed. Sensorimotor deficits were periodically assessed over 2 months, and at this end point, the lesion volume was determined by histology. Treatment with deferoxamine significantly decreased the size of brain damage (−28%) after ischemia and improved behavioral recovery. Indeed, neurological score and sensorimotor performances in the adhesive removal test recovered earlier in the deferoxamine‐treated animals. Moreover, the long‐lasting skilled forepaw reaching deficits were attenuated by deferoxamine. Although an antioxidant effect of deferoxamine cannot be excluded, the hypothesis that its beneficial effects could be mediated by an increase in HIF‐1 target genes merits further investigations. Our data suggest that delayed administration of deferoxamine could represent an interesting therapeutical approach to treat focal cerebral ischemia.
Updating the effects of fatty acids on skeletal muscle

In this review we updated the fatty acid (FA) effects on skeletal muscle metabolism. Abnormal FA availability induces insulin resistance and accounts for several of its symptoms and complications. Efforts to understand the pathogenesis of insulin resistance are focused on disordered lipid metabolism and consequently its effect on insulin signaling pathway. We reviewed herein the FA effects on metabolism, signaling, regulation of gene expression and oxidative stress in insulin resistance. The elevated IMTG content has been associated with increased intracellular content of diacylglycerol (DAG), ceramides and long‐chain acyl‐coenzyme A (LCA‐CoA). This condition has been shown to promote insulin resistance by interfering with phosphorylation of proteins of the insulin pathway including insulin receptor substrate‐1/2 (IRS), phosphatidylinositol‐3‐kinase, (PI3‐kinase) and protein kinase C. Although the molecular mechanism is not completely understood, elevated reactive oxygen (ROS) and nitrogen species (RNS) are involved in this process. Elevated ROS/RNS activates nuclear factor‐kappaB (NFkB), which promotes the transcription of proinflammatory tumoral necrosis factor alpha (TNFα), decreasing the insulin response. Therefore, oxidative stress induced by elevated FA availability may constitute one of the major causes of insulin resistance in skeletal muscle. J. Cell. Physiol. 217: 1–12, 2008. © 2008 Wiley‐Liss, Inc.
The Part-Time Doctoral Student Experience

Although scholarly interest in doctoral education has increased dramatically over the last two decades, much of this attention has focused on the experiences of doctoral students who are enrolled full-time in their programs. This study explored the experiences of 10 part-time doctoral students in different disciplines. Through semi-structured interviews with these students, we found that many of the issues surrounding these part-time doctoral students involved concerns related to balance, support, and fitting the mold of a “traditional” doctoral student. Importantly, while some of these issues are consistent with the experiences of full-time doctoral students, the experiences of part-time doctoral students are more complicated and required sustained and flexible efforts to adequately address. We conclude by suggesting both institutional and empirical efforts to better understand the complicated experiences of part-time doctoral students as well as to develop multi-faceted initiatives to support the experiences of this growing doctoral student population.
Review On Detection of Suspicious Transaction In Anti-Money Laundering Using Data Mining Framework

Data mining, “the extraction of hidden predictive information from large databases”, is a powerful new technology with great potential to help for detecting the Anti-money Laundering. To detect suspicious money laundering transaction in the real world financial is a critical task. Database is take important role to store various kinds of useful and meaningful information. Data mining technique like Decision tree is easily extract the information from large dataset. For detection of Anti Money laundering, Data mining is used extensively, because of limited scalability, adaptability and validity. The main motivation for detecting money laundering used in real time application like classification, clustering, neural network, machine learning, prediction etc.In this review paper we study on various Data mining techniques and Anti Money laundering detection methods. And based on that we decide that the clustering techniques are the best techniques for detecting anti-money laundering.
Socioeconomic position and the risk of preterm birth--a study within the Danish National Birth Cohort.

BACKGROUND Low socioeconomic position is generally associated with increased risk of preterm birth, but it remains unclear whether the inequality depends on the socioeconomic measure used, if the associations differ according to the degree of prematurity, and how individual level risk factors mediate the association. METHODS The hazard ratios (HR) of preterm birth associated with five different measures of socioeconomic position and three degrees of preterm birth were analysed in a dataset of 75 890 singleton pregnancies (1996-2002) from the Danish National Birth Cohort. This, and the mediating role of selected individual level risk factors (smoking, alcohol consumption, binge drinking, pre-pregnancy body mass index, gestational weight gain) were estimated, using Cox regression analyses. RESULTS Mothers with <10 years of education had an elevated risk of preterm birth compared with mothers with >12 years of education and the association interacted with parity, while income and occupation affected the risk to a lesser degree. The adjusted HR for less educated nulliparous and parous women were 1.22 (95% CI 1.04-1.42) and 1.56 (95% CI 1.31-1.87), respectively, compared with women with >12 years of education. For parous women with <10 years of education inclusion of smoking in the model decreased the HR of preterm birth to 1.43 (95% CI 1.19-1.72). CONCLUSIONS Maternal educational level was the strongest predictor of preterm birth among five socioeconomic measures and the gradient did not differ significantly according to the degree of preterm birth. For parous women smoking explained some of the educational gradient but in general the selected risk factors only reduced the relative educational gradient in preterm birth marginally.
On the limitation of Vezzosi's subspace rotation method for angle-of-arrival estimation

Vezzosi (Ann. des Telecommun., vol.37, p.425-39, Sept. 1982) proposed an eigenvector (EV) rotation method to resolve multiple signal arrivals to a sensor array and to estimate their angles-of arrival. In the present work it is shown that the model assumed by Vezzosi implies uncorrelated sources, and that the criterion by which the EV rotation is carried out is based on this implicit assumption. The authors present simulation results demonstrating the behavior of the method in a correlated two-source environment with various magnitudes of correlation coefficient, and they show the dependence of the quality of the estimates on the phase of the correlation coefficient. It is concluded that Vezzosi's method is very effective for resolving uncorrelated arrivals. However, it will encounter problems when the arrivals are partly correlated. <<ETX>>
Review of methods for resolving multi-path interference in Time-of-Flight range cameras

Time-of-Flight range cameras measure the distance from the camera to the objects in the field of view. This is achieved by illuminating the scene with amplitude modulated light and measuring the phase change in the modulation envelope between the transmitted and received light, simultaneously for each pixel. A major cause of accuracy errors are multiple propagation paths between the light source and pixel. This error is highly scene dependent and can be substantial. In this paper we review the state of art in multi-path interference correction. Two mathematical models dominate the literature, a sparse formulation from discrete paths and a lambertian inter-reflection model. The recovery methods for the sparse formulation are effective at looking through a translucent sheet, while lambertian model based techniques can reduce the errors due to inter-reflections in a corner.
A Novel Framework for Tracking Online Community Interaction in Social Network

This paper focuses on a design of improved framework and analysis of existing framework which exploits certain algorithms for tracking online community in social network. Tracking of online community is an imperative task where the goal is to identify meaningful group structures in the dynamic social network and consider the problem of the evolution of groups of users in dynamic scenarios. Existing frameworks for tracking community in social network have some limitation which makes it less scalable and computationally inefficient. This novel framework facilitates scalable tracking communities over the time in social networks and offers efficient methods to deal with the problems which are offered in most of the existing frameworks.
Bcl6 Mediates the Development of T Follicular Helper Cells

T Follicular Helper Cell Differentiation When B cells respond to an infection, they often require help from CD4+ T cells to mount a proper response. It is thought that a subset of CD4+ effector T cells, called T follicular helper cells (TFH), performs this function. Several subsets of effector CD4+ T cells arise, depending on the type of infection, which have distinct transcriptional programs driving their differentiation. Whether this is also the case for TFH cells has not been clear (see the Perspective by Awasthi and Kuchroo). Nurieva et al. (p. 1001, published online 23 July) and Johnston et al. (p. 1006; published online 16 July) now demonstrate that the transcription factor Bcl6 is both necessary and sufficient for TFH differentiation and subsequent B cell–mediated immunity, suggesting that it is a master regulator of this lineage. Johnston et al. also show that expression of Bcl6 and the transcription factor, Blimp-1, are reciprocally regulated in TFH cells and that, when ectopically expressed, Blimp-1 inhibits TFH development. The transcription factors that regulate follicular T helper cell differentiation are identified. A fundamental function of CD4+ helper T (TH) cells is the regulation of B cell–mediated humoral immunity. Development of T follicular helper (TFH) cells that provide help to B cells is mediated by the cytokines interleukin-6 and interleukin-21 but is independent of TH1, TH2, and TH17 effector cell lineages. Here, we characterize the function of Bcl6, a transcription factor selectively expressed in TFH cells. Bcl6 expression is regulated by interleukin-6 and interleukin-21. Bcl6 overexpression induced TFH-related gene expression and inhibited other TH lineage cell differentiation in a DNA binding–dependent manner. Moreover, Bcl6 deficiency in T cells resulted in impaired TFH cell development and germinal center reactions, and altered production of other effector T cell subsets. Our data thus illustrate that Bcl6 is required for programming of TFH cell generation.
Performing Mixed Reality

Working at the cutting edge of live performance, an emerging generation of artists is employing digital technologies to create distinctive forms of interactive, distributed, and often deeply subjective theatrical performance. The work of these artists is not only fundamentally transforming the experience of theater, it is also reshaping the nature of human interaction with computers. In this book, Steve Benford and Gabriella Giannachi offer a new theoretical framework for understanding these experiences--which they term mixed reality performances--and document a series of landmark performances and installations that mix the real and the virtual, live performance and interactivity. Benford and Giannachi draw on a number of works that have been developed at the University of Nottingham's Mixed Reality Laboratory, describing collaborations with artists (most notably the group Blast Theory) that have gradually evolved a distinctive interdisciplinary approach to combining practice with research. They offer detailed and extended accounts of these works from different perspectives, including interviews with the artists and Mixed Reality Laboratory researchers. The authors develop an overarching theory to guide the study and design of mixed reality performances based on the approach of interleaved trajectories through hybrid structures of space, time, interfaces, and roles. Combinations of canonical, participant, and historic trajectories show how such performances establish complex configurations of real and virtual, local and global, factual and fictional, and personal and social.
Update on Interventional Bronchoscopy for the Thoracic Radiologist

Interventional bronchoscopy, together with other domains of interventional pulmonology, has experienced tremendous technological advances. Diagnostic applications include endobronchial ultrasound, which enables endoscopists to see through airway walls. White light videobronchoscopy, autofluorescence imaging, and narrow band imaging have enhanced the ability to detect early lung cancer at a preinvasive stage. Electromagnetic navigational bronchoscopy, ultrathin bronchoscopy, and virtual bronchoscopy increase the diagnostic yield of biopsy of small peripheral lung lesions. The options that are currently available for the relief of central airway obstruction are also numerous, with both flexible and rigid bronchoscopic applications. Stents, although dichotomized to silicone and metal, come in various sizes and shapes to suit the requirements of the pathology being treated. Ablative techniques are categorized into those with an immediate effect and those with a delayed effect. Laser, electrocautery, and argon plasma coagulation can immediately relieve obstruction and control hemoptysis, whereas cryosurgery, brachytherapy, and photodynamic therapy have established roles in subacute airway obstruction and in the treatment of early lung cancer. Microdebriders have recently been added to the armamentarium of modalities for mechanical debulking of tumor. Distal airway obstruction has also been targeted with bronchial thermoplasty treatment of refractory asthma and with bronchoscopic lung volume reduction for the management of severe emphysema. This array of new technology has fostered collaborative work with a wide range of other medical specialties to deliver safer, more effective, minimally invasive treatment.