Miracle-dz/UniFAR-FTUs huggingface dataset:
Suppressor of Cytokine Signaling (SOCS)1 Regulates Interleukin-4 (IL-4)-activated Insulin Receptor Substrate (IRS)-2 Tyrosine Phosphorylation in Monocytes and Macrophages via the Proteasome*

Allergic asthma is a chronic lung disease initiated and driven by Th2 cytokines IL-4/-13. In macrophages, IL-4/-13 bind IL-4 receptors, which signal through insulin receptor substrate (IRS)-2, inducing M2 macrophage differentiation. M2 macrophages correlate with disease severity and poor lung function, although the mechanisms that regulate M2 polarization are not understood. Following IL-4 exposure, suppressor of cytokine signaling (SOCS)1 is highly induced in human monocytes. We found that siRNA knockdown of SOCS1 prolonged IRS-2 tyrosine phosphorylation and enhanced M2 differentiation, although siRNA knockdown of SOCS3 did not affect either. By co-immunoprecipitation, we found that SOCS1 complexes with IRS-2 at baseline, and this association increased after IL-4 stimulation. Because SOCS1 is an E3 ubiquitin ligase, we examined the effect of proteasome inhibitors on IL-4-induced IRS-2 phosphorylation. Proteasomal inhibition prolonged IRS-2 tyrosine phosphorylation, increased ubiquitination of IRS-2, and enhanced M2 gene expression. siRNA knockdown of SOCS1 inhibited ubiquitin accumulation on IRS-2, although siRNA knockdown of SOCS3 had no effect on ubiquitination of IRS-2. Monocytes from healthy and allergic individuals revealed that SOCS1 is induced by IL-4 in healthy monocytes but not allergic cells, whereas SOCS3 is highly induced in allergic monocytes. Healthy monocytes displayed greater ubiquitination of IRS-2 and lower M2 polarization than allergic monocytes in response to IL-4 stimulation. Here, we identify SOCS1 as a key negative regulator of IL-4-induced IRS-2 signaling and M2 differentiation. Our findings provide novel insight into how dysregulated expression of SOCS increases IL-4 responses in allergic monocytes, and this may represent a new therapeutic avenue for managing allergic disease.
Alcohol dehydrogenase 2*3 affects alterations in offspring facial morphology associated with maternal ethanol intake in pregnancy.

BACKGROUND Ethanol intake during pregnancy alters offspring facial morphology. However, significant variation that may be due to genetic diversity in ethanol metabolizing enzymes occurs. The alcohol dehydrogenase 1B*3 (ADH1B*3) allele is protective for offspring developmental outcome after maternal alcohol drinking in pregnancy and may explain the spectrum of facial morphology. METHODS Faces of infants with known ADH1B genotype, whose mothers' ADH1B genotypes and ethanol intake were determined during pregnancy, were photographed using uniform procedures. Photographs were scanned and the inner canthal distance, palpebral fissure length, and distance from the bridge of the nose to the bottom of the upper lip were measured by an investigator who was blinded to genotype and ethanol exposure. RESULTS Among 247 photographed infants, each facial measurement varied >2-fold. Median absolute ethanol daily intake was 0.5 oz among mothers who reported drinking in the periconceptional period (N = 173) and 0.17 oz among mothers who reported drinking before the first prenatal visit (N = 62). Controlling for the amount of maternal ethanol intake just before the first prenatal visit and infant sex, the three-way interaction among the absence of a maternal and offspring ADH1B*3 allele and the presence of ethanol consumption just before the first prenatal visit was associated with smaller facial measurements (p = 0.002, MANCOVA). CONCLUSIONS These are the first observations of a significant gene-environment interaction explaining variation in facial morphology associated with ethanol use in pregnancy. This positive effect of ADH1B*3 is consistent with its known positive effect on offspring birth weight and developmental outcome after in utero ethanol exposure.
A Circular Triple-Mode Cavity Filter With Two Independently Controlled Transmission Zeros

The paper presents a new filter design based on circular triple-mode cavities that allow the realization of two transmission zeros. Each transmission zero is generated and controlled by a dedicated resonance. For relatively narrowband applications requiring a second order transmission zero, the circular cavity is left homogenous. For broadband designs, the separate frequencies of the resonances are tuned by a symmetrically inserted rectangular aperture. The approach is verified by two 3rd order filter designs at UGHz. The introduced triple mode cavity can be used as a building block in the design of sophisticated higher order filters
Multiple parameter cluster analysis in a multiple language learning system

In this paper, we present our multiple parameter cluster analysis in our multiple language learning system. Towards this direction, we have used algorithmic approaches residing in the field of machine learning. Multiple parameter cluster analysis is conducted by the k-means clustering algorithm which takes as input seven important users' characteristics in order to initialize the process. The clustering is conducted by k-means clustering algorithm, which takes as input multiple user characteristics. The incorporation of k-means clustering is used to address several barriers posed by the heterogeneous learning audience of educational systems. After determining in which cluster each new student belongs, the system can reason about this specific student, adapting its behavior to the student's needs, performance and preferences.
Comparison of the Re-usable LMA Classic™ and Two Single-use Laryngeal Masks (LMA Unique™ and SoftSeal™) in Airway Management by Novice Personnel

In a single-blind randomized trial, three types of laryngeal masks: the reusable LMA Classic™, the single-use LMA Unique™ and SoftSeal™ were inserted by novice medical officers in anaesthesia. Five successive attempts were undertaken with each mask type. The order of the mask type insertion was randomly selected. Mean (SD) insertion times for LMA Classic™, LMA Unique™ and Soft Seal™ were 32.9 (12.3), 39.6 (23.4) and 49.4 (50.4) seconds respectively. Differences were only significant between LMA Classic™ and SoftSeal™ (P=0.012). There were no significant differences in first attempt success rates (LMA Classic™ 80%, LMA Unique™ 77% and SoftSeal™ 62%). The SoftSeal™ was most frequently associated with blood on the mask (32%) compared to the LMA Unique™(9%) and LMA Classic™ (6%). Sore throat was experienced in 14% of patients in the LMA Unique™ group versus 41% and 42% in the LMA Classic™ and SoftSeal™ groups respectively. Mean±SD oropharyngeal leak pressure was significantly higher in the SoftSeal™ (21±6 cmH2O) compared to the LMA Classic™ (17±7 cmH2O) and LMA Unique™ (16±6 cmH2O). Novice medical doctors can be taught to insert disposable laryngeal masks. The SoftSeal™ took longer to insert, which resulted in a higher incidence of blood on the mask, but success rates did not differ. The LMA Unique™ was associated with the lowest incidence of sore throat in the immediate postoperative period. A higher oropharyngeal leak pressure with the SoftSeal™ may indicate improved airway seal and protection against aspiration.
Respiratory Panic Disorder Treatment with Clonidine

tient services. Though we lack information, we believe that a combination of fewer referrals and more missed appointments explains why the rate of utilization is lower in group 2 than in group 1. Other possible explanations are differences in mental health, tendency of people with mental illness to drift toward the towns, and higher tolerability toward persons with mental illness among GPs and other people in the periphery.
Consistency of Regions of Interest as nodes of fMRI functional brain networks

The functional network approach, where fMRI BOLD time series are mapped to networks depicting functional relationships between brain areas, has opened new insights into the function of the human brain. In this approach, the choice of network nodes is of crucial importance. One option is to consider fMRI voxels as nodes. This results in a large number of nodes, making network analysis and interpretation of results challenging. A common alternative is to use predefined clusters of anatomically close voxels, Regions of Interest (ROIs). This approach assumes that voxels within ROIs are functionally similar. Because these two approaches result in different network structures, it is crucial to understand what happens to network connectivity when moving from the voxel level to the ROI level. We show that the consistency of ROIs, defined as the mean Pearson correlation coefficient between the time series of their voxels, varies widely in resting-state experimental data. Therefore the assumption of similar voxel dynamics within each ROI does not generally hold. Further, the time series of low-consistency ROIs may be highly correlated, resulting in spurious links in ROI-level networks. Based on these results, we recommend that averaging BOLD signals over anatomically defined ROIs should be carefully considered. Author Summary Network methods have opened new insights on structure and functional dynamics of the human brain. However, constructing functional brain networks is far from trivial—the neuroscientific community still lacks a standard definition of the nodes of brain networks. In the present article, we consider the two most commonly used approaches: using either imaging voxels or predefined Regions of Interest (ROIs) as nodes of the network. We investigate what happens when voxel-level signals are averaged for obtaining ROI-level networks. We introduce the concept of ROI consistency to characterize the similarity of the dynamics of voxels in an ROI. With the help of consistency, we show that although voxels in an ROI are assumed to behave similarly, this assumption does not hold for all ROIs.
Attributes of Web Site Usability: A Study of Web Users with the Repertory Grid Technique

Research on Web site usability using the Microsoft Usability Guidelines (MUG) have (1) assumed the MUG categories and subcategories as a given and (2) focused on the relationships between these attributes and site usability, thereby largely ignoring their underlying meaning. Using the Repertory Grid Technique, the present research elicits the attributes that Web users consider important when using business-to-consumer (B2C) Web sites. The results support the MUG framework but identify three additional attributes that warrant being MUG subcategories: quality of Web site content, Web site appearance, and extent to which the site provides convenient services to facilitate on-line activities. An enhanced MUG is presented. The implications for research and practice are discussed.
A very active sprite-producing storm observed over Argentina

During the night of 22–23 February 2006, more than 400 middle-atmospheric optical discharges were observed above one large thunderstorm system over northeastern Argentina. These transient luminous events (TLEs) were imaged during the Southern Brazil Sprite Campaign, the first campaign to focus on TLEs over southern Brazil, northeastern Argentina, and Uruguay. All of the TLEs were imaged from the Brazilian Southern Space Observatory (SSO) near Santa Maria, which is nearly in the center of the southernmost Brazilian state of Rio Grande do Sul. Although the fields of view of the imaging cameras were too narrow to view the entire storm, the more than 400 confirmed TLEs imaged indicate that this storm ranks as the third most active TLE producer ever reported. Hence, storms in this region of South America might be some of the leading TLE generators on Earth.
Characterization of two Epstein‐Barr virus epitopes restricted by HLA‐B7

We have identified two epitopes for Epstein‐Barr virus specific cytotoxic T lymphocytes (CTL) restricted by the common allele HLA‐B7. They are EBNA 3C 881–9 (QPRAPIRPI) and EBNA 3A 379–387 (RPPIFIRRL). The epitopes conform well to the recently described motif for HLA‐B7‐binding peptides (Huckzo et al., J. Immunol. 1993. 151: 2572). Titration of the peptides in CTL assays and detergent lysate binding assays revealed that extending the peptides at either the N or C terminus did not reduce their affinity for HLA‐B7. This behavior contrasted with HLA‐B51, which binds peptides with a similar motif to B7, and has identical amino acid residues at sites expected to form the “F” pocket of the peptide‐binding groove. HLA‐B51 also bound the peptide EBNA 3C 881–9, but was unable to bind peptides extended at the C terminus.
Tracking the Relevance of Academic Conferences

An academic conference typically span a wide range of topics which changes with time. It is known that topics of conferences in different areas may overlap. Constantly, researchers are interested in the trend of a conference like, what the most popular topic/method/problem in this year’s papers is. The relevance of two different conferences reflects such a change as it is an indicator of interdisciplinary research. For example, The wide application of Neural Networks in Computer Vision may lead to increasing relevance of CVPR and NIPS. In this project, I want to propose a measure of relevance and give a quantitative demonstration of how the relevance changes with time. A paper is simply a document while a conference consisting of a number of papers can be regarded as a corpus. It is interesting how we can find features or representations of documents and further calculate the relevance between them. TF-IDF is a kind of word frequency feature that has been widely used for document representation and similarity matching[1], [2]. Recently with the success of word embedding, there are attempts to map a document direct into vector space(doc2vec[3]). All papers of a conference form a rich corpus which is suitable for Topic Modeling. Among all possible solutions, Latent Dirichlet allocation(LDA) has been proven an efficient method to estimate the latent topics of a corpus[4]. A number of variants were further proposed, to enable modeling with time[5], authors[6] or even multiple corpora[7]. LDA-based methods give possible relevance metrics based on latent variables or probability distribution. Recently, Word Embedding methods like word2vec[8] also provide possible distance metrics for different topics. The goal of this project includes the following two aspects: (I) to model or to represent different conferences over different years; (II) to measure the relevance of conferences. In this project we propose four approaches to this problem, and evaluate them both quantitatively and qualitatively.
Insider threat: memory confidentiality and integrity in the cloud

The advantages of always available services, such as remote device backup or data storage, have helped the widespread adoption of cloud computing. However, cloud computing services challenge the traditional boundary between trusted inside and untrusted outside. A consumer’s data and applications are no longer in premises, fundamentally changing the scope of an insider threat. This thesis looks at the security risks associated with an insider threat. Specifically, we look into the critical challenge of assuring data confidentiality and integrity for the execution of arbitrary software in a consumer’s virtual machine. The problem arises from having multiple virtual machines sharing hardware resources in the same physical host, while an administrator is granted elevated privileges over such host. We used an empirical approach to collect evidence of the existence of this security problem and implemented a prototype of a novel prevention mechanism for such a problem. Finally, we propose a trustworthy cloud architecture which uses the security properties our prevention mechanism guarantees as a building block. To collect the evidence required to demonstrate how an insider threat can become a security problem to a cloud computing infrastructure, we performed a set of attacks targeting the three most commonly used virtualization software solutions. These attacks attempt to compromise data confidentiality and integrity of cloud consumers’ data. The prototype to evaluate our novel prevention mechanism was implemented in the Xen hypervisor and tested against known attacks. The prototype we implemented focuses on applying restrictions to the permissive memory access model currently in use in the most relevant virtualization software solutions. We envision the use of a mandatory memory access control model in the virtualization software. This model enforces the principle of least privilege to memory access, which means cloud administrators are assigned with only enough privileges to successfully perform their administrative tasks. Although the changes we suggest to the virtualization layer make it more restrictive, our solution is versatile enough to port all the functionality available in current virtualization
Full Resistance and Decreased Susceptibility to Carbapenems in IMP-13-Producing Pseudomonas aeruginosa Isolates from an Outbreak

Of 23 ceftazidime-resistant Pseudomonas aeruginosa isolates with simultaneous decreased susceptibility to carbapenems recovered from inpatients at Hospital Eva Peron, Provincia de Buenos Aires, Argentina, from December 2004 to December of 2005, 18 were positive by a double-disk phenotypic screening
Group psychotherapy during radiotherapy: effects on emotional and physical distress.

OBJECTIVE The purpose of this study was to ascertain whether group psychotherapy during radiotherapy for cancer significantly decreases patients' emotional and physical distress. METHOD Twenty-four patients receiving radiotherapy were randomly selected for group psychotherapy (six patients per group, 90-minute weekly sessions for 10 weeks). Another 24 patients served as control subjects. Each patient was given the Schedule for Affective Disorders and Schizophrenia (SADS) at the onset of radiotherapy, midway through radiotherapy, at the end of radiotherapy, and 4 and 8 weeks after radiotherapy ended. RESULTS The combined SADS items for depression, pessimism and hopelessness, somatic preoccupation and worry, social isolation and withdrawal, insomnia, and anxiety and agitation were used as a measure of emotional distress. The combined SADS items for anorexia, nausea and vomiting, and fatigue were used as a measure of physical distress. By 4 weeks after the end of radiotherapy, the patients who received group psychotherapy showed significant decreases in both emotional and physical symptoms, and the decreases were greater than those for the control patients. The subjects who initially seemed unaware of their cancer diagnoses had the lowest baseline levels of emotional and physical distress, but 4 weeks after the end of radiotherapy they had high distress levels. CONCLUSIONS Group therapy may enhance quality of life for cancer patients undergoing radiotherapy by reducing their emotional and physical distress. The degree to which patients acknowledge the diagnosis of malignancy may be a factor in their initial distress level and their response to radiotherapy and group therapy.
Post-activation potentiation effects on vertical and horizontal explosive performances of young handball and basketball athletes.

BACKGROUND The present study was designed to compare the effects of post-activation potentiation (PAP) protocols on explosive activities of trained young athletes. METHODS Twenty-six young team sport players (handball, N.=12; basketball, N.=14; mean age 15.4±0.3 years; mean height 169.5±6.4 cm; mean weight 61.4±7.6 kg; Tanner stages 3 and 4) performed seven countermovement jumps (CMJ) and seven 20-meter sprints at baseline, ~15s, 4, 8, 16, 24 and 30 minutes after three different stimulus conditions: 3 sets of 10 repetitions of double-leg drop jumps (PAPD), 3 sets of 5 repetitions of alternate-one-leg drop jumps (PAPO), or walking control (CON). RESULTS A significant reduction in explosive performance was observed at each time-point in both groups. Negative PAP effect occurred on the 20-meter sprint in PAPO at 16 (P=0.008), 24 (P=0.001) and 30 minutes (P<0.001) and in PAPD at 30 minutes (P=0.002) compared to CON. CONCLUSIONS This study indicated the negative effect of PAP on subsequent explosive performance in young team sport players. These findings represent a practical suggestion for the prudent use of PAP protocols aimed at enhancing vertical and horizontal explosive performances of young athletes.
Effect of trichostatin a on viability and microRNA expression in human pancreatic cancer cell line BxPC-3.

AIM To investigate the influence of trichostatin A (TSA) on inhibition of cell proliferation and induction of apoptosis in human pancreatic cancer cells. METHODS MTT-based cytotoxicity assay was used to evaluate the cell viability after treatment with TSA. Cell cycle distribution and apoptosis were examined by means of flow cytometry. Expression of microRNA was determined with microRNA array. Expression of miR-200c and miR-21 was detected by Northern blotting. RESULTS TSA significantly inhibited the proliferation of BxPC-3 human pancreatic cancer cells in a time- and dose-dependent manner. BxPC-3 cells treated with TSA were arrested in G0/G1 phase and were characterized by increased apoptotic rate, accompanied by differential expression of microRNAs. CONCLUSIONS The results suggest that TSA may activate expression of microRNAs that may act as tumor suppressor in human pancreatic cancer cell line BxPC-3.
Component technology application in energy gray forecast

Using component technology to develop EMIS system is an important method in the development of enterprise application softwares. Based on the research of component-technology, this paper describes the . net environment with the Matlab mix programming method, and explains the method of energy forecast exactly through developing com component with com builder. Joining the MATLAB procedure to the C# establishment procedure, it can inherit the good user interface of C#, reduce the workload of programming, and guaranteed the precise degree of consume predicted value.