Miracle-dz/UniFAR-FTUs huggingface dataset:
An Endoplasmic Reticulum-Targeting Signal Sequence Enhances the Immunogenicity of an Immunorecessive Simian Virus 40 Large T Antigen Cytotoxic T-Lymphocyte Epitope

ABSTRACT An immunological hierarchy among three H-2Db-restricted cytotoxic T lymphocyte (CTL) determinants in simian virus 40 (SV40) large T antigen (Tag) was described previously: determinants I and II/III are immunodominant, whereas determinant V is immunorecessive. To assess the immunogenicity of each determinant individually and define mechanisms that contribute to the immunorecessive nature of determinant V, we constructed a panel of recombinant vaccinia viruses (rVVs) expressing minigenes encoding these determinants in various polypeptide contexts. We found the following. (i) Immunization of mice with an rVV encoding full-length SV40 Tag resulted in priming for CTL responses to determinants I and II/III but not determinant V. (ii) rVVs encoding peptide I or II/III in the cytosol or targeted to the endoplasmic reticulum (ER) were highly antigenic and immunogenic. (iii) rVVs encoding peptide V minigenes were antigenic and immunogenic if the peptide was targeted to the ER, expressed in the cytosol with short flanking sequences, or expressed from within a self-protein, murine dihydrofolate reductase. (iv) Presentation of the nonflanked peptide V (preceded by a Met codon only) could be enhanced by using a potent inhibitor of the proteasome. (v) H-2Db–epitope V peptide complexes decayed more rapidly than complexes containing epitope I or II/III peptides. In brefeldin A blocking experiments, functional epitope V complexes were detected longer on targets expressing ER-targeted epitope V than on targets expressing forms of epitope V dependent on the transporter associated with antigen processing. Therefore, limited formation of relatively unstable cell surface H-2Db complexes most likely contributes to the immunorecessive nature of epitope V within SV40 Tag. Increasing the delivery of epitope V peptide to the major histocompatibility complex class I presentation pathway by ER targeting dramatically enhanced the immunogenicity of epitope V.
Do internal factors of cooperation influence computer-mediated distance activity?

On the one hand, researchers have studied factors that influence collaboration and on the other, researchers have proposed models of collaborative problem solving. However, we have not found research on the relation between these factors and the dimensions used in order to describe the collaborative activity within the models. This article's goal is to propose such relations for a situation of collaborative design, mediated by computer and carried out at a distance. We will show two main relations that emerged from our corpus. Firstly, dialogue utterances between partners that have a dominant social aspect are positively related to the symmetry of the entire dyadic interaction in terms of partners' contributions. Secondly, dialogue utterances that predominantly deal with expressing what partners are doing is negatively related to the extent to which partners are aligned. This research also extends the field of applicability of the cooperative activity model proposed in Baker (2002).
Improved Dispersion of Carbon Nanotubes in Polymers at High Concentrations

The polymer nanocomposite used in this work comprises elastomer poly(dimethylsiloxane) (PDMS) as a polymer matrix and multi-walled carbon nanotubes (MWCNTs) as a conductive nanofiller. To achieve uniform distribution of carbon nanotubes within the polymer, an optimized dispersion process was developed, featuring a strong organic solvent—chloroform, which dissolved PDMS base polymer easily and allowed high quality dispersion of MWCNTs. At concentrations as high as 9 wt. %, MWCNTs were dispersed uniformly through the polymer matrix, which presented a major improvement over prior techniques. The dispersion procedure was optimized via extended experimentation, which is discussed in detail.
Multi-group consensus via pinning control with non-linear heterogeneous agents

The agents connected by networks are capable to reach a prescribed state if only a small fraction of them are controlled with feedback information. The present work tries to stabilize groups of non-linear agents in a directed network onto a stable state with several equilibriums. The agent dynamics can be identical or heterogeneous. But the agents in the same group share a same non-linear model. The conditions to reach multiple consensus states are provided under both non-switching and switching topologies. The maximum number of heterogeneous equilibriums is discussed. It is proved theoretically and by simulations that under certain conditions, pinning control can lead a multi-group network to reach a multi-valued consensus state.
Advanced Glycation End Product-Induced Astrocytic Differentiation of Cultured Neurospheres through Inhibition of Notch-Hes1 Pathway-Mediated Neurogenesis

This study aims to investigate the roles of the Notch-Hes1 pathway in the advanced glycation end product (AGE)-mediated differentiation of neural stem cells (NSCs). We prepared pLentiLox3.7 lentiviral vectors that express short hairpin RNA (shRNA) against Notch1 and transfected it into NSCs. Cell differentiation was analyzed under confocal laser-scanning microscopy. The percentage of neurons and astrocytes was quantified by normalizing the total number of TUJ1+ (Neuron-specific class III β-tubulin) and GFAP+ (Glial fibrillary acidic protein) cells to the total number of Hoechst 33342-labeled cell nuclei. The protein and gene expression of Notch-Hes1 pathway components was examined via western blot analysis and real-time PCR. After 1 week of incubation, we found that AGE-bovine serum albumin (BSA) (400 μg/mL) induced the astrocytic differentiation of cultured neurospheres and inhibited neuronal formation. The expression of Notch-Hes1 pathway components was upregulated in the cells in the AGE-BSA culture medium. Immunoblot analysis indicated that shRNA silencing of Notch1 expression in NSCs significantly increases neurogenesis and suppresses astrocytic differentiation in NSCs incubated with AGE-BSA. AGEs promote the astrocytic differentiation of cultured neurospheres by inhibiting neurogenesis through the Notch-Hes1 pathway, providing a potential therapeutic target for hyperglycemia-related cognitive deficits.
Mycotoxin-Containing Diet Causes Oxidative Stress in the Mouse

Mycotoxins which mainly consist of Aflatoxin (AF), Zearalenone (ZEN) and Deoxynivalenol (DON) are commonly found in many food commodities. Although each component has been shown to cause liver toxicity and oxidative stress in several species, there is no evidence regarding the effect of naturally contained multiple mycotoxins on tissue toxicity and oxidative stress in vivo. In the present study, mycotoxins-contaminated maize (AF 597 µg/kg, ZEN 729 µg/kg, DON 3.1 mg/kg maize) was incorporated into the diet at three different doses (0, 5 and 20%) to feed the mice, and blood and tissue samples were collected to examine the oxidative stress related indexes. The results showed that the indexes of liver, kidney and spleen were all increased and the liver and kidney morphologies changed in the mycotoxin-treated mice. Also, the treatment resulted in the elevated glutathione peroxidase (GPx) activity and malondialdehyde (MDA) level in the serum and liver, indicating the presence of the oxidative stress. Moreover, the decrease of catalase (CAT) activity in the serum, liver and kidney as well as superoxide dismutase (SOD) activity in the liver and kidney tissue further confirmed the occurrence of oxidative stress. In conclusion, our data indicate that the naturally contained mycotoxins are toxic in vivo and able to induce the oxidant stress in the mouse.
Different Interaction Profiles of Direct-Acting Anti-Hepatitis C Virus Agents with Human Organic Anion Transporting Polypeptides

ABSTRACT Simeprevir (SMV), asunaprevir (ASV), daclatasvir (DCV), and sofosbuvir (SFV), which are newly developed direct-acting antiviral agents (DAAs) against hepatitis C virus (HCV) infection, are among the key components of anti-HCV regimens. Preclinical studies have identified inhibitory properties for some of these DAAs against organic anion transporting polypeptide 1B (OATP1B) functions. However, their details remain mostly uncharacterized. Because OATP1B1 and OATP1B3 play determinant roles in the pharmacokinetics of various drugs via their uptake into human hepatocytes, it is plausible that the inhibition of these OATP1Bs by a DAA would create a potential risk of drug-drug interaction, which has been an emerging concern in anti-HCV therapy. Accordingly, in the present study, we intended to clarify the inhibitory characteristics of newly developed DAAs toward OATP1B1 and -1B3 functions. The results of our coincubation inhibition assays have shown that all tested DAAs could inhibit OATP1B1 functions and that SMV, ASV, and DCV (to a lesser extent), but not SFV, exhibited long-lasting preincubation inhibitory effects on OATP1B1 functions. It was also found that the preincubation inhibitory effects of SMV and ASV could augment their coincubation inhibition potency. Furthermore, significant, but differential, inhibitory effects of the DAAs on the OATP1B3 function were identified. To summarize, our results clearly show that the newly developed DAAs are newly identified OATP1B1 and OATP1B3 inhibitors with distinctive interaction properties. It is believed that these inhibition profiles will provide essential information to all concerned parties with respect to the clinical significance of DAA-mediated inhibition of OATP1Bs in anti-HCV therapy.
Low-Complexity Near-Optimal Iterative Sequential Detection for Uplink Massive MIMO Systems

A novel low-complexity iterative sequential detection algorithm is proposed for near-optimal detection in uplink massive multiple-input multiple-output systems. In every iteration of the proposed algorithm, symbol transmitted from each user is detected sequentially while nulling the interference from all the other users. In contrast with recently proposed methods such as polynomial expansion, dual band Newton iteration, and Jacobi iteration, the proposed algorithm performs superior in terms of precision and computational complexity, and achieves better performance when the number of users increases. Simulation results validate superiority of the proposed algorithm over the recently reported methods.
The role of contingency and contiguity in young and older adults' causal learning.

Contingency and temporal contiguity are important "cues to causality. " In this study, we examined how aging influences the use of this information in response-outcome causal learning. Young and older adults judged a generative causal contingency (i.e., outcome is more likely when a response is made) to be stronger when response and outcome were contiguous than when the outcome was delayed. Contiguity had a similar beneficial effect on young adults' preventative causal learning (i.e., outcome is less likely when a response is made). However, older adults did not judge the preventative relationship to be stronger when the response and outcome were separated by a short delay or when the outcome immediately followed their response. These findings point to a fundamental age-related decline in the acquisition of preventative causal contingencies that may be due to changes in the utilization of cues for the retrieval of absent events.
Burden among family caregivers of persons with Alzheimer's disease in nursing homes.

PURPOSE This article examines family caregiver burden after placement of a relative with Alzheimer's disease or a related dementia in a nursing home. DESIGN AND METHODS A systems-oriented contextual approach was used to study burden in 276 family caregivers. RESULTS SAS PROC MIXED analysis showed burden to be associated with caregiver age, length of time involved in caregiving, custodial units, involvement in hands-on care, and expectations for care. IMPLICATIONS The findings suggest that more services aimed at relieving caregiver burden after nursing home placement may be warranted, particularly so for caregivers who are older and for those who had a shorter length of involvement in direct caregiving before institutionalization.
Aspergillus fumigatus melanins: interference with the host endocytosis pathway and impact on virulence

The opportunistic human pathogenic fungus Aspergillus fumigatus produces at least two types of melanin, namely pyomelanin and dihydroxynaphthalene (DHN) melanin. Pyomelanin is produced during tyrosine catabolism via accumulation of homogentisic acid. Although pyomelanin protects the fungus against reactive oxygen species (ROS) and acts as a defense compound in response to cell wall stress, mutants deficient for pyomelanin biosynthesis do not differ in virulence when tested in a murine infection model for invasive pulmonary aspergillosis. DHN melanin is responsible for the characteristic gray-greenish color of A. fumigatus conidia. Mutants lacking a functional polyketide synthase PksP, the enzyme responsible for the initial step in DHN-melanin formation, i.e., the synthesis of naphthopyrone, produce white spores and are attenuated in virulence. The activity of PksP was found to be essential not only for inhibition of apoptosis of phagocytes by interfering with the host PI3K/Akt signaling cascade but also for effective inhibition of acidification of conidia-containing phagolysosomes. These features allow A. fumigatus to survive in phagocytes and thereby to escape from human immune effector cells and to become a successful pathogen.
Effect of blending ratios and techniques on the quality parameters of 30's polyester/cotton yarn

The present study was conducted to determine the impact of polyester/cotton ratio on the quality characteristics of yarn. The quality characters depend upon the ratio of polyester and cotton in the blend and also on the blending technique adopted during fibre production to yarn spinning. The quality characters such as single yarn strength, yarn elongation and rupture per kilometer of yarn were directly proportional to the ratio of polyester with cotton in the blend. Draw frame blending produced better quality yarn as compared to blow room blending, lap former blending and simplex blending.
CAIXA: a catalogue of AGN in the XMM-Newton archive - II. Multiwavelength correlations

Aims. The availability of large amounts of multiwavelength data allows us to perform an extensive statistical analysis to look for correlations between different parameters of AGN. The physical implications of these correlations, when considered within the framework of current AGN models, can be enlightening in the resolution of the problems and the open issues which still characterise this class of sources. Methods. We presented CAIXA, a Catalogue of AGN in the XMM-Newton Archive, in a companion paper. It consists of radio-quiet X-ray unobscured sources, which cover a range in X-ray luminosities between L2−10 keV = 2.0 × 10 41 and 3.9 × 10 46 erg s −1 ,a nd in redshift from z = 0.002 to z = 4.520. Here, a systematic search for correlations between the X-ray spectral properties and the multiwavelength data was performed for the sources in CAIXA. All the significant (>99.9% confidence level) correlations are discussed along with their physical implications for current models of AGN. Results. Two main correlations are discussed in this paper: a) a very strong anti-correlation between the FWHM of the Hβ optical line and the ratio between the soft and the hard X-ray luminosity. Although similar anti-correlations between optical line width and X-ray spectral steepness have already been discussed in the literature, we consider the formulation we present in this paper as more fundamental, as it links model-independent quantities. Coupled with a strong anti-correlation between the V to hard X-ray flux ratio and the Hβ FHWM, it supports scenarios for the origin of the soft excess in AGN, which require strong suppression of the hard X-ray emission; b) a strong (and expected) correlation between the X-ray luminosity and the black hole mass. Its slope, flatter than 1, is consistent with Eddington ratio-dependent bolometric corrections. Moreover, we critically review through various statistical tests the role that distance biases play in the strong radio to X-ray luminosity correlation found in CAIXA and elsewhere; we conclude that only complete, unbiased samples should be used to draw observational constraints on the origin of radio emission in radio-quiet AGN.
Magnetic resonance imaging in neuropsychiatric systemic lupus erythematosus: current state of the art and novel approaches

Systemic lupus erythematosus is a chronic, inflammatory, immune-mediated disease affecting 0.1% of the general population. Neuropsychiatric manifestations in systemic lupus erythematosus have been more frequently recognized and reported in recent years, occurring in up to 75% of patients during the disease course. Magnetic resonance imaging is known to be a useful tool for the detection of structural brain abnormalities in neuropsychiatric systemic lupus erythematosus patients because of the excellent soft-tissue contrast observed with MRI and the ability to acquire multiplanar images. In addition to conventional magnetic resonance imaging techniques to evaluate the presence of atrophy and white matter lesions, several different magnetic resonance imaging techniques have been used to identify microstructural or functional abnormalities. This review will highlight different magnetic resonance imaging techniques, including the advanced magnetic resonance imaging methods used to determine central nervous system involvement in systemic lupus erythematosus.
Educational Qualifications and Wage Inequality: Evidence for Europe

This paper explores the connection between education and wage inequality in nine European countries. We exploit the quantile regression technique to calculate returns to lower secondary, upper secondary and tertiary education at different points of the wage distribution. We find that returns to tertiary education are highly increasing when moving from the lower to the upper quantiles. This finding suggests that an educational expansion towards tertiary education is expected, ceteris paribus, to increase overall wage inequality through the withindimension. Returns to secondary education are more homogeneous across quantiles, thus suggesting that an educational expansion towards secondary education is expected to have a more limited impact on within-groups dispersion. Using data from the last decades, we assess how the impact of education on wage inequality has evolved over time. We detect different trends across countries. A common feature is that the inequality increasing effect of tertiary education became more acute over the last years.
[Loss of heterozygosity on chromosomes 17 and 16 in primary hepatocellular carcinomas].

OBJECTIVE 38 cases of hepatocellular (HCC) carcinomas were studied to detect loss of heterozygosity(LOH) at specific areas on chromosome 17 and 16, the possible relations were discussed between LOH and HBV/HCV infection and clinic-pathology of HCC. METHODS We detected LOH on chromosome 17 and 16 by using PCR based microsatel lite polymorphism analysis. RESULTS 31 of 38(82%) tumors were deleted for at least one locus of 6 loci on chromosome 17. Loci D17S520 (17p12-p13.3) and TP53(17p13.1) occurred more frequent LOH(> 50%). But only one locus of the four loci on 17q occurred frequent LOH (40%), the other three loci occurred lower frequent LOH (< 30%). 26 (72%) of detected 36 HCC were positive for at least one locus of five loci on chromosome 16, and all 5 loci occurred higher frequent LOH (> 50%). The most frequent LOH(71%) occurred at D16S413(16q24). Relations were observed between LOH of p53 gene and HCV infection and tumor size, but no relations between LOH at other locus on chromosome 17 and 16 and HBV/HCV infection and clinical-pathology of HCC. CONCLUSION LOH on chromosome 17, especially LOH of p53 gene may play a role in the development of HCC. These results indicated that there may be more than one tumor suppressor gene related to the development and progression of HCC on chromosome 17 and 16.
Multi-Bias Non-linear Activation in Deep Neural Networks

As a widely used non-linear activation, Rectified Linear Unit (ReLU) separates noise and signal in a feature map by learning a threshold or bias. However, we argue that the classification of noise and signal not only depends on the magnitude of responses, but also the context of how the feature responses would be used to detect more abstract patterns in higher layers. In order to output multiple response maps with magnitude in different ranges for a particular visual pattern, existing networks employing ReLU and its variants have to learn a large number of redundant filters. In this paper, we propose a multi-bias non-linear activation (MBA) layer to explore the information hidden in the magnitudes of responses. It is placed after the convolution layer to decouple the responses to a convolution kernel into multiple maps by multi-thresholding magnitudes, thus generating more patterns in the feature space at a low computational cost. It provides great flexibility of selecting responses to different visual patterns in different magnitude ranges to form rich representations in higher layers. Such a simple and yet effective scheme achieves the state-of-the-art performance on several benchmarks.
What Is the Risk-Free Rate ? A Model and Empirical Tests in a Market with Frictions

I study the properties of implied interest rates from futures and put-call parity relations, and compare it to other market rates commonly used by academics and practitioners. I show that in a market with borrowing and short-selling costs, the price of futures and put-call parity relations is a¤ected by demand pressure. I apply the model to the futures market and obtain a closed-form solution for futures prices that is a function of the risk-free rate and a latent demand factor. My model-implied risk-free rate estimated using S&P 500 index futures compares favorably with other commonly used candidates. I also estimate the model-implied demand factor and verify that is related to observable proxies for demand pressure in the futures market. I also show empirically that relative mispricing is positive (negative) when buying (selling) pressure is high and is di¢ cult to borrow (short-sell the underlying). These results extend to futures and put-call parity relations in other indices as well. Job Market Candidate, Department of Finance, Stern School of Business, New York University, 44 W 4th St., New York, NY 10012, lnaranjo@stern.nyu.edu, www.stern.nyu.edu/~lnaranjo. I owe my gratitude to my advisor, Marti Subrahmanyam, for his invaluable guidance and unconditional support. I also would like to thank the other members of my committee Menachem Brenner, Stephen Brown, Joel Hasbrouck and Stijn Van Nieuwerburghand Bryan Kelly, Farhang Farazmand, JongSub Lee, and Rik Sen for their feedback and encouragement. All errors are mine.