Miracle-dz/UniFAR-FTUs huggingface dataset:
GlycoMod – A software tool for determining glycosylation compositions from mass spectrometric data

GlycoMod (http://www.expasy.ch/tools/glycomod/) is a software tool designed to find all possible compositions of a glycan structure from its experimentally determined mass. The program can be used to predict the composition of any glycoprotein‐derived oligosaccharide comprised of either underivatised, methylated or acetylated monosaccharides, or with a derivatised reducing terminus. The composition of a glycan attached to a peptide can be computed if the sequence or mass of the peptide is known. In addition, if the protein is known and is contained in the SWISS‐PROT or TrEMBL databases, the program will match the experimentally determined masses against all the predicted protease‐produced peptides (including any post‐translational modifications annotated in these databases) which have the potential to be glycosylated with either N‐ or O‐linked oligosaccharides. Since many possible glycan compositions can be generated from the same mass, the program can apply compositional constraints to the output if the user supplies either known or suspected monosaccharide constituents. Furthermore, known oligosaccharide structural constraints on monosaccharide composition are also incorporated into the program to limit the output.
Radical Eclecticism and Post-Modern Architecture

Charles Jencks' The Language of Post-Modern Architecture – first published in English in 1977, republished in 1978, 1980, 1984, 1987 and 1991 – was commissioned by Architectural Design editor Haig Beck on the strength of Jencks' article, “Isozaki and Radical Eclecticism. ” This article featured in AD's special issue on the Japanese architect Arata Isozaki, published in January 1977. According to Beck, the book was expected to develop the article. This paper considers the relationship between “Isozaki and Radical Eclecticism” and The Language of Post-Modern Architecture. It interrogates the nature of the link between ostensible progenitor and product, focusing on the use of the term and concept Radical Eclecticism in both texts. The paper finds substantial differences between the respective positions of “Isozaki and Radical Eclecticism” and The Language of Post-Modern Architecture. It argues these differences are such that the latter is not best considered as a development of the former. The nature of the differences between article and book gives cause for a reappraisal of the rhetorical basis to The Language of Post-Modern Architecture.
Relation Classification for Semantic Structure Annotation of Text

Confronting the challenges of annotating naturally occurring text into a semantically structured form to facilitate automatic information extraction, current semantic role labeling (SRL) systems have been specifically examining a semantic predicate-argument structure. Based on the concept description language for natural language (CDL.nl) which is intended to describe the concept structure of text using a set of pre-defined semantic relations, we develop a parser to add a new layer of semantic annotation of natural language sentences as an extension of SRL. With the assumption that all relation instances are detected, we present a relation classification approach facing the challenges of CDL.nl relation extraction. Preliminary evaluation on a manual dataset, using support vector machine, shows that CDL.nl relations can be classified with good performance.
Diary of hot flashes reported upon occurrence: results of a randomized double-blind study of raloxifene, placebo, and paroxetine

ObjectiveThis trial examined diaries of hot flash events reported upon occurrence to assess the test/retest reliability of the diaries and their ability to measure treatment effects on hot flash frequency and severity. MethodsForty-two postmenopausal women (aged ≥40 y; 5-50 hot flashes/wk) were randomized (3:3:1) to placebo, raloxifene 60 mg, or paroxetine 20 mg daily for 12 weeks. Diaries of hot flash frequency and severity were evaluated at 1-week intervals (twice before study treatment and thrice during study treatment). ResultsForty-one women were evaluated. Baseline characteristics were similar between groups (eg, mean, 29.8 hot flashes/wk). Concordance correlation coefficients between screening (week −2) and baseline (week −1) measures of hot flash frequency and severity were 0.73 and 0.71, respectively. After 12 weeks, the mean (95% CI) percent changes from baseline in weekly hot flash frequency were as follows: placebo, −37.4% (−60.9 to −14.0); raloxifene, −14.2% (−37.7 to 9.3); paroxetine, −49.8% (−88.6 to −11.0); the mean (95% CI) percent changes in hot flash severity were as follows: placebo, −39.9% (−69.1 to −10.8); raloxifene, −9.6% (−38.8 to 19.6); paroxetine, −36.6% (−84.7 to 11.5). There were no significant differences in hot flash diary results between treatment groups. ConclusionsMeasures of hot flash frequency and severity show acceptable test/retest reliability between screening and baseline. Reductions in vasomotor symptoms by raloxifene are numerically less than those seen with placebo, but no statistically significant treatment differences have been documented in this small study. The large effect of placebo and the significant reduction in vasomotor symptoms by paroxetine are consistent with other studies. The diary seems to be suitable for use in hot flash clinical trials.
Image Super Resolution with Direct Mapping and De-Noising

Image super resolution attempts to extract high-resolution image using one or more corrupted low resolution images. Typical patch-wise sparse dictionary based super resolution reconstruction methods remove undesired effects but sometimes lead to blurring due to averaging of many high resolution (HR) patches. On the other hand, local self-similarity based super resolution (SR) suffers from insufficient number of HR patches and can result in distorted and unnatural SR images. In this paper, we propose a novel single image super resolution approach that reconstructs high resolution images by leveraging direct mapping i.e. one-to-one mapping between low resolution and high resolution patches. In addition, high frequency content is separated and preserved in the SR reconstructed image. Further, a K-D tree classification and knn-search algorithm is used for fast and robust search by dimensions. Incorporation of Non-Local Means filtering reduces unwanted noise as well as undesired artifacts. Finally, the proposed Gaussian weighting scheme reduces error in HR patch reconstruction process. The proposed approach is also robust for larger magnification factor beyond 2.
Cariogenic Actinomyces Identified with a β-Glucosidase-Dependent Green Color Reaction to Gardenia jasminoides Extract

ABSTRACT The oral bacteria Actinomyces naeslundii andActinomyces viscosus are known to contribute to the initiation and progression of human dental caries, especially root caries. We report that both A. naeslundii and A. viscosus react with a component in the Gardenia jasminoides extract to produce a distinct green product. This green color reaction was found to be dependent on the bacterial β-glucosidase. The reaction is specific for cariogenic actinomyces, and it can detect as few as 104 cells of A. naeslundii and A. viscosus per ml.
Pancreatic exocrine insufficiency in malnourished children and those with persistent diarrhoeae.

BACKGROUND AND OBJECTIVES Persistent diarrhoea, a serious health problem, is closely related to malnutrition. Children with severe malnutrition have a 9-fold risk of death, and children with severe stunting have a 4-fold risk of death. Prolonged mucosal injury from diarrhoea causes reduced secretin and cholecystokinin secretion, which decreases stimulation to the pancreas, and is indicated by faecal elastase-1 levels. This further aggravates persistent diarrhoea and malnutrition because of the low levels of digestive enzyme production. This study evaluated the exocrine function of the pancreas in children with persistent diarrhoea and malnutrition. METHODS AND STUDY DESIGN This study used a cross-sectional design to compare exocrine pancreatic function among children with persistent diarrhoea, children with malnutrition, and apparently healthy children as reference Children aged 6-60 months were selected from the inpatient and outpatient units of various general hospitals in Jakarta. Faecal elastase- 1 levels were used to determine exocrine pancreatic function. RESULTS The median values of faecal elastase- 1 in children with persistent diarrhoea, children with malnutrition, and reference children were 743 (1-1503) mcg/g, 861 (17-2909) mcg/g, and 1210 (26-3000) mcg/g, respectively. A significant difference was observed in the faecal elastase-1 levels between reference children and those with persistent diarrhoea (p<0.001). However, no differences in the faecal elastase-1 levels were noted between malnourished and reference children (p>0.05). Children with both persistent diarrhoea and malnutrition showed mean FE-1 392.3±206.9 and median 419 (125- 593). CONCLUSIONS Exocrine pancreatic insufficiency is found in children with persistent diarrhoea. Children with combined persistent diarrhoea and malnutrition have the lowest FE-1, to which persistent diarrhea has the most significant contribution.
Epilepsy, Mental Health Disorder, or Both?

Temporal lobe epilepsy (TLE), a subset of the seizure disorder family, represents a complex neuropsychiatric illness, where the neurological presentation may be complemented by varying severity of affective, behavioral, psychotic, or personality abnormalities, which, in turn, may not only lead to misdiagnosis, but also affect the management. This paper outlines a spectrum of mental health presentations, including psychosis, mood, anxiety, panic, and dissociative states, associated with epilepsy that make the correct diagnosis a challenge.
p21WAF1/CIP1 Is Upregulated by the Geranylgeranyltransferase I Inhibitor GGTI-298 through a Transforming Growth Factor β- and Sp1-Responsive Element: Involvement of the Small GTPase RhoA

ABSTRACT We have recently reported that the geranylgeranyltransferase I inhibitor GGTI-298 arrests human tumor cells at the G1phase of the cell cycle and increases the protein and RNA levels of the cyclin-dependent kinase inhibitor p21 WAF1/CIP1 . Here, we show that GGTI-298 acts at the transcriptional level to induce p21 WAF1/CIP1 in a human pancreatic carcinoma cell line, Panc-1. This upregulation of p21 WAF1/CIP1 promoter was selective, since GGTI-298 inhibited serum responsive element- and E2F-mediated transcription. A functional analysis of the p21 WAF1/CIP1 promoter showed that a GC-rich region located between positions −83 and −74, which contains a transforming growth factor β-responsive element and one Sp1-binding site, is sufficient for the upregulation of p21 WAF1/CIP1 promoter by GGTI-298. Electrophoretic mobility shift assays showed a small increase in the amount of DNA-bound Sp1-Sp3 complexes. Furthermore, the analysis of Sp1 transcriptional activity in GGTI-298-treated cells by using GAL4-Sp1 chimera or Sp1-chloramphenicol acetyltransferase reporter revealed a significant increase in Sp1-mediated transcription. Moreover, GGTI-298 treatment also resulted in increased Sp1 and Sp3 phosphorylation. These results suggest that GGTI-298-mediated upregulation of p21 WAF1/CIP1 involves both an increase in the amount of DNA-bound Sp1-Sp3 and enhancement of Sp1 transcriptional activity. To identify the geranylgeranylated protein(s) involved in p21 WAF1/CIP1 transcriptional activation, we analyzed the effects of the small GTPases Rac1 and RhoA on p21 WAF1/CIP1 promoter activity. The dominant negative mutant of RhoA, but not Rac1, was able to activate p21 WAF1/CIP1 . In contrast, constitutively active RhoA repressed p21 WAF1/CIP1 . Accordingly, the ADP-ribosyl transferase C3, which specifically inhibits Rho proteins, enhanced the activity of p21 WAF1/CIP1 . Taken together, these results suggest that one mechanism by which GGTI-298 upregulates p21 WAF1/CIP1 transcription is by preventing the small GTPase RhoA from repressing p21 WAF1/CIP1 induction.
Modeling the Effects of Financial Constraints on Firm's Investment

The paper develops a model of firm´s investment under uncertainty with financial market imperfections and analyzes the effects of financial constraints on firm´s investment. Firm´s investment is an increasing function of the firm´s marginal q, however the investment function is characterized by an upper bound that depends on the firm´s borrowing capabilities. The firm´s marginal q is the sum of the expected value of the marginal profitability of the physical capital stock and of a positive external finance premium. In the presence of financial market imperfections the firm forms expectations about future financial conditions and these expectations raise the firm´s current marginal q. Similarly, the shadow price of firm´s debt is the sum of the interest cost of debt repayment and of a provision for external finance that depends on the firm´s expectations over future financial conditions.
The influence of event quality on revisit intention: Gender difference and segmentation strategy

Purpose – The purpose of this study is to examine the relationships between spectators’ event quality perceptions and revisit intention in both men's and women's basketball events by focusing on gender influence.Design/methodology/approach – The study utilizes structural equation modeling (SEM) on data collected by questionnaire survey from a total of 623 spectators of two college men's basketball events (n=292) and two college women's basketball events (n=331). Findings – The results indicate that for men's basketball events, game performance and staff quality had a significant influence on the revisit intention of spectators, regardless of the spectator's gender. For women's basketball events, game performance and in‐game entertainment were significant determinants of spectator revisit intentions, again regardless of gender.Research limitations/implications – The current research collected data from division I‐A men's and women's basketball events in only one higher education institution. Further the cur.
IL-1β is an essential mediator of the antineurogenic and anhedonic effects of stress

Stress decreases neurogenesis in the adult hippocampus, and blockade of this effect is required for the actions of antidepressants in behavioral models of depression. However, the mechanisms underlying these effects of stress have not been identified. Here, we demonstrate an essential role for the proinflammatory cytokine IL-1β. Administration of IL-1β or acute stress suppressed hippocampal cell proliferation. Blockade of the IL-1β receptor, IL-1RI, by using either an inhibitor or IL-1RI null mice blocks the antineurogenic effect of stress and blocks the anhedonic behavior caused by chronic stress exposure. In vivo and in vitro studies demonstrate that hippocampal neural progenitor cells express IL-1RI and that activation of this receptor decreases cell proliferation via the nuclear factor-κB signaling pathway. These findings demonstrate that IL-1β is a critical mediator of the antineurogenic and depressive-like behavior caused by acute and chronic stress.
Death and the family: The importance of mourning

Interestingly, death and the family the importance of mourning that you really wait for now is coming. It's significant to wait for the representative and beneficial books to read. Every book that is provided in better way and utterance will be expected by many peoples. Even you are a good reader or not, feeling to read this book will always appear when you find it. But, when you feel hard to find it as yours, what to do? Borrow to your friends and don't know when to give back it to her or him.
Large-scale comparative visualisation of sets of multidimensional data

We present encube $-$ a qualitative, quantitative and comparative visualisation and analysis system, with application to high-resolution, immersive three-dimensional environments and desktop displays. encube extends previous comparative visualisation systems by considering: 1) the integration of comparative visualisation and analysis into a unified system; 2) the documentation of the discovery process; and 3) an approach that enables scientists to continue the research process once back at their desktop. Our solution enables tablets, smartphones or laptops to be used as interaction units for manipulating, organising, and querying data. We highlight the modularity of encube, allowing additional functionalities to be included as required. Additionally, our approach supports a high level of collaboration within the physical environment. We show how our implementation of encube operates in a large-scale, hybrid visualisation and supercomputing environment using the CAVE2 at Monash University, and on a local desktop, making it a versatile solution. We discuss how our approach can help accelerate the discovery rate in a variety of research scenarios.
97 ES-85 Plant Growth Model Using Artificial Neural Networks

The goal of Advanced Life Support Systems (ALSS) is to provide self-sufficiency in life support for productive research and exploration in space. Important in reaching this goal is the production of crop plants in one or more controlled environments for the purpose of providing life essential food, air, and water to a human crew. To do this reliably and efficiently, it is necessary to achieve control of the rates of various plant physiology processes. To develop an efficient control system that VW be able to manage, control, and optimize plant-based l i f e s u p p o r t f u n c t i o n s , s y s t e m identif ication a n d modeling of plant growth behavior must first be accomplished. We have developed a plant growth (physiology) model using artificial neural networks. Neural networks are suitable for both steady-state and dynamic modeling and identification tasks, since they can be trained to approximate arbitrary nonlinear inputoutput mappings from a collection of input and output examples. In addition, they can be expanded to incorporate a large number of inputs and outputs as required, which makes it simple to model multivariable systems. In this paper, we describe our motivation and approach to developing these models and the neural network architecture. Initial use of the artificial neural network for modeling the single plant process of transpiration is presented. The approach is to develop and validate neural network submodels describing the individual plant-based functions (assimilation, biomass allocation and accumulation, and resource demands) and to integrate them for full control of plant-based life support functions. With the use of neural networks, these complex, nonlinear, dynamic, multimodal, multivariable plant growth models will be able to better interpolate between various environmental conditions and parameters and be able to simulate responses and performance of various plants. Frank Zee Jet Propulsion Laboratory David Bubenheim NASA Ames Research Center
Development and implementation of a novel computational tool for an efficient construction of drug-target interactome

The application of network concepts to pharmacology has become popular and promising for better understanding the molecular mechanisms of drug actions. In this study, we developed a computational pipeline in order to construct the drug-target interactome, thereby facilitating these drug action investigations. The interactome includes drug-drug, drug-target and target-protein interaction networks. The pipeline first extracts human protein-protein interaction (PPI) data from the Protein Interaction Network Analysis (PINA) platform to obtain the cleaned human PPIs with experimental evidence. Next, the pipeline retrieves the drugs of interest, their targets and the adverse drug interactions from the DrugBank database. Based on the cleaned human PPIs and drug-related information, the pipeline finally generates three subnetworks involved in the drug-target interactome: drug-drug network, drug-target network, and target-protein interaction network. We implemented the pipeline within two Python packages. To illustrate how the pipeline works, we used schizophrenia as a keyword to obtain SZ-related drugs. The Python packages and example data are available at http://bioinfo.mc. vanderbilt.edu/software.html.
Risk communication: identifying the importance of social context

This editorial uses articles published in recent issues of Health, Risk and Society to critically review current approaches to risk communication. The effective communication of risk forms a key component of public health measures designed to improve the health of populations in countries such as the UK. These approaches assume that the recipients of the risk information are rational actors who will use the information to minimize their exposure to health hazards, and this will reduce the collective level of harm. However, a recent article in Health, Risk and Society indicated that individuals are not passive recipients of information and do not respond to risk information ‘rationally’. Individuals actively engage in looking for and using information but may also make conscious decisions to avoid certain forms of information. Their response to information is shaped by social context, their own needs for personal security and the extent to which they trust the source of specific items of information. As a result, there is little evidence that risk communication based on the rational actor model shapes an understanding or behaviour in ways in which health-policy makers and public health experts want.
Daily Energy Expenditure Is Related to Plasma Leptin Concentrations in Older African-American Women but Not Men

Recent research suggests that leptin may control body weight by regulating energy expenditure and energy intake in mice. To explore the possible role of leptin in the regulation of energy expenditure in humans, we used doubly-labeled water methodology to determine whether fasting plasma leptin concentrations were related to total daily energy expenditure (TEE) and its components, resting energy expenditure (REE) and physical activity energy expenditure (PAEE), in free-living older African-American men (n = 21) and women (n = 25). Plasma leptin concentrations were higher in women than men, even after the adjustment for differences in fat mass (28 ± 3 ng/ml for women vs. 17 ± 3 ng/ml for men; P < 0.01). The logarithm of plasma leptin concentrations correlated with fat mass in both women (r = 0.80) and men (r = 0.78) (P < 0.0001). After statistical adjustment for sex differences in fat-free mass and fat mass, women had lower TEE (22%) and REE (15%) (P < 0.01) and a trend (P = 0.08) toward lower PAEE, compared with men. After controlling for the effects of fat-free mass on energy expenditure, plasma leptin concentrations were related to REE (r = 0.68, P < 0.001) and tended to be related to TEE (r = 0.37, P = 0.07) in African-American women but not men (r = 0.18 and −0.03, respectively). Plasma leptin concentrations were not related to PAEE in either men or women. These results suggest that leptin may contribute to the regulation of TEE in older African-American women through its effects on resting energy metabolism, but the role of leptin in the regulation of energy expenditure is less apparent in older African-American men.