Miracle-dz/UniFAR-FTUs huggingface dataset:
Interaction of an Adenovirus E3 14.7-Kilodalton Protein with a Novel Tumor Necrosis Factor Alpha-Inducible Cellular Protein Containing Leucine Zipper Domains

ABSTRACT Early region 3 (E3) of group C human adenoviruses (Ad) encodes several inhibitors of tumor necrosis factor alpha (TNF-α) cytolysis, including an E3 14.7-kDa protein (E3-14.7K) and a heterodimer containing two polypeptides of 10.4 and 14.5 kDa. To understand the mechanism by which the viral proteins inhibit TNF-α functions, the E3-14.7K protein was used to screen a HeLa cell cDNA library to search for interacting proteins in the yeast two-hybrid system. A novel protein containing multiple leucine zipper domains without any significant homology with any known protein was identified and has been named FIP-2 (for 14.7K-interacting protein). FIP-2 interacted with E3-14.7K both in vitro and in vivo. It colocalized with Ad E3-14.7K in the cytoplasm, especially near the nuclear membrane, and caused redistribution of the viral protein. FIP-2 by itself does not cause cell death; however, it can reverse the protective effect of E3-14.7K on cell killing induced by overexpression of the intracellular domain of the 55-kDa TNF receptor or by RIP, a death protein involved in the TNF-α and Fas apoptosis pathways. Deletion analysis indicates that the reversal effect of FIP-2 depends on its interaction with E3-14.7K. Three major mRNA forms of FIP-2 have been detected in multiple human tissues, and expression of the transcripts was induced by TNF-α treatment in a time-dependent manner in two different cell lines. FIP-2 has consensus sequences for several potential posttranslational modifications. These data suggest that FIP-2 is one of the cellular targets for Ad E3-14.7K and that its mechanism of affecting cell death involves the TNF receptor, RIP, or a downstream molecule affected by either of these two molecules.
Pure hippocampal sclerosis: A rare cause of dementia mimicking Alzheimer’s disease

walk across the room during his initial examination, and he had a similar attack, again following brief activity, during his EEG. Neither episode was preceded by the sustained activity that is typically needed to induce an attack of paroxysmal exerciseinduced dystonia, and the patient has suggested that even contemplating an activity sometimes induces tightness of the muscles about to be moved. All of the episodes described by his numerous affected relatives are characteristic of PKD. Finally, the consistent response to carbamazepine, both by the proband and several family members, is strongly suggestive of PKD and would be atypical of PED. We agree with Guerrini et al. that chromosome 16 may harbor a cluster of genes for paroxysmal dyskinesia variably associated with epilepsy. However, PKD is likely to be clinically distinct from PED.
Finance and Development: A Tale of Two Sectors

Income differences across countries primarily reflect differences in total factor productivity (TFP). More disaggregated data show that the TFP gap between rich and poor countries varies systematically across industrial sectors of the economy: Poor countries are particularly unproductive in tradable and investment goods sectors. In this paper, we develop a quantitatively-oriented framework to explain such cross-country patterns in aggregate and sectoral TFP. We start by documenting that an important distinction between sectors is their average establishment size. For example, establishments in tradable and investment goods sectors operate at much larger scales than those in the non-tradable sector. In our model, sectors with larger scales of operation have more financing needs, and are hence disproportionately affected by financial frictions. Our quantitative exercises show that financial frictions account for a substantial part of the observed cross-country patterns in TFP, both at the aggregate and at the sectoral level. Our model also has novel implications for the impact of financial frictions on the relative scale between the tradable and the non-tradable sectors, which are shown to be consistent with the data.
Expectation Propagation for t-Exponential Family Using q-Algebra

Exponential family distributions are highly useful in machine learning since their calculation can be performed efficiently through natural parameters. The exponential family has recently been extended to the t-exponential family, which contains Student-t distributions as family members and thus allows us to handle noisy data well. However, since the t-exponential family is denied by the deformed exponential, we cannot derive an efficient learning algorithm for the t-exponential family such as expectation propagation (EP). In this paper, we borrow the mathematical tools of q-algebra from statistical physics and show that the pseudo additivity of distributions allows us to perform calculation of t-exponential family distributions through natural parameters. We then develop an expectation propagation (EP) algorithm for the t-exponential family, which provides a deterministic approximation to the posterior or predictive distribution with simple moment matching. We finally apply the proposed EP algorithm to the Bayes point machine and Student-t process classication, and demonstrate their performance numerically.
Hematopoietic reconstitution by multipotent adult progenitor cells: precursors to long-term hematopoietic stem cells

For decades, in vitro expansion of transplantable hematopoietic stem cells (HSCs) has been an elusive goal. Here, we demonstrate that multipotent adult progenitor cells (MAPCs), isolated from green fluorescent protein (GFP)-transgenic mice and expanded in vitro for >40–80 population doublings, are capable of multilineage hematopoietic engraftment of immunodeficient mice. Among MAPC-derived GFP+CD45.2+ cells in the bone marrow of engrafted mice, HSCs were present that could radioprotect and reconstitute multilineage hematopoiesis in secondary and tertiary recipients, as well as myeloid and lymphoid hematopoietic progenitor subsets and functional GFP+ MAPC-derived lymphocytes that were functional. Although hematopoietic contribution by MAPCs was comparable to control KTLS HSCs, approximately 103-fold more MAPCs were required for efficient engraftment. Because GFP+ host-derived CD45.1+ cells were not observed, fusion is not likely to account for the generation of HSCs by MAPCs.
The Laacher See Tephra discovered in southernmost Sweden

We present the first geochemically confirmed finding of the Laacher See Tephra (LST) on the Swedish mainland, now the northernmost extension of the LST. Sediments were sampled at the Körslättamossen fen, southernmost Sweden, and a high‐concentration cryptotephra occurrence (>65 000 shards cm−3) of the LST was found in a sequence of calcareous gyttja. Tephra identification was confirmed by geochemical analysis using field‐emission electron probe microanalysis and through comparison of the results with published LST data from proximal sites and distal sites north‐east of Laacher See. The LST has previously been divided into eruption phases suggested to have spread in several dispersal fans, but it was not possible to confidently determine the phase of the tephra here closer than to the MLST or ULST. The finding of the LST presented here further strengthens the potential of tephrochronological studies in the south Scandinavian region.
Domain adaptation and compensation for emotion detection

Inspired by the recent improvements in domain adaptation and session variability compensation techniques used for speech and speaker processing, we study their effect for emotion prediction. More specifically, we investigated the use of publicly available out-of-domain data with emotion annotations for improving the performance of the in-domain model trained using 911 emergency-hotline calls. Following the emotion detection literature, we use prosodic (pitch, energy, and speaking rate) features as the inputs to a discriminative classifier. We performed segment-level n-fold cross validation emotion prediction experiments. Our results indicate significant improvement of performance for emotion prediction exploiting out-ofdomain data.
A novel modulation classification method in cognitive radios based on features clustering of time-frequency

The demand of spectrum sensing can be met by a reliable modulation classification (MC) scheme. This paper proposed a novel features clustering algorithm based on the joint distribution of time and frequency. It uses Pseudo Wigner-Ville Distribution (PWVD) as feature extraction approach. Density-Based Spatial Clustering of Applications with Noise (DBSCAN), alternatively, is utilized as classifier for single carrier modulation classification. Unlike ALRT approach, which is conventional method of likelihood based, this novel one is free from carrier phase offset. In addition, it has no variance in features, which is a huge advantage over Cumulant-based approach. The latter suffers from its variance in features, which degrades its performance in complex scheme badly. Moreover, training, which is an incredible time-consuming step for Support Vector Machine (SVM), is not necessary for DBSCAN. This enables DB-SCAN a faster processing. Simulation results indicate an overwhelming advantage over Cumulant-based classifier in performance. Moreover, carrier phase offset does not influent its performance at all.
Two distinct and competitive pathways confer the cellcidal actions of artemisinins

The biological actions of artemisinin (ART), an antimalarial drug derived from Artemisia annua, remain poorly understood and controversial. Besides potent antimalarial activity, some of artemisinin derivatives (together with artemisinin, hereafter referred to as ARTs), in particular dihydroartemisinin (DHA), are also associated with anticancer and other antiparasitic activities. In this study, we used baker’s yeast Saccharomyces cerevisiae as cellular and genetic model to investigate the molecular and cellular properties of ARTs. Two clearly separable pathways exist. While all ARTs exhibit potent anti-mitochondrial actions as shown before, DHA exerts an additional strong heme-dependent, likely mitochondria-independent inhibitory action. More importantly, heme antagonizes the mitochondria-dependent cellcidal action. Indeed, when heme synthesis was inhibited, the mitochondria-dependent cellcidal action of ARTs could be dramatically strengthened, and significant yeast growth inhibition at as low as 100 nM ART, an increase of about 25 folds in sensitivity, was observed. We conclude that ARTs are endowed with two major and distinct types of properties: a potent and specific mitochondria-dependent reaction and a more general and less specific heme-mediated reaction. The competitive nature of these two actions could be explained by their shared source of the consumable ARTs, so that inhibition of the heme-mediated degradation pathway would enable more ARTs to be available for the mitochondrial action. These properties of ARTs can be used to interpret the divergent antimalarial and anticancer actions of ARTs.
Quantitive and sociological analysis of blog networks

This paper examines the emerging phenomenon of blogging, using three different Polish blogging services as the base of the research. Authors show that blog networks are sharing their characteristics with complex networks gamma coefficients, small worlds, cliques, etc.). Elements of sociometric analysis were used to prove existence of some social structures in the blog networks.
Ghrelin Improves Functional Survival of Engrafted Adipose-Derived Mesenchymal Stem Cells in Ischemic Heart through PI3K/Akt Signaling Pathway

Mesenchymal stem cells (MSCs) have been proposed as a promising cell population for cell therapy and regenerative medicine applications. However, the low retention and poor survival of engrafted cells hampered the therapeutic efficacy of engrafted MSCs. Ghrelin is a 28-amino-acid peptide hormone and is proved to exert a protective effect on the cardiovascular system. This study is designed to investigate the protective effects of ghrelin on engrafted adipose-derived mesenchymal stem cells (ADMSCs) and its beneficial effects with cellular therapy in mice myocardial infarction (MI). Results showed that intramyocardial injection of ADMSCs combining with ghrelin administration inhibited host cardiomyocyte apoptosis, reduced fibrosis, and improved cardiac function. To reveal possible mechanisms, ADMSCs were subjected to hypoxia/serum deprivation (H/SD) injury to simulate ischemic conditions in vivo. Ghrelin (10−8 M, 33712 pg/ml) improved ADMSCs survival under H/SD condition. Western blot assay revealed that ghrelin increased AKT phosphorylation both in vivo and in vitro, decreased the proapoptotic protein Bax, and increased the antiapoptotic protein Bcl-2 in vitro, while these effects were abolished by PI3K inhibitor LY294002. These revealed that ghrelin may serve as a promising candidate for hormone-driven approaches to improve the efficacy of mesenchymal stem cell-based therapy for cardiac ischemic disease via PI3K/AKT pathway.
Decreased Expression of the ARID1A Gene Is Associated with Poor Prognosis in Primary Gastric Cancer

Background The ARID1A gene encodes adenine-thymine (AT)-rich interactive domain-containing protein 1A, which participates in chromatin remodeling. ARID1A has been showed to function as a tumor suppressor in various cancer types. In the current study, we investigated the expression and prognosis value of ARID1A in primary gastric cancer. Meanwhile, the biological role of ARID1A was further investigated using cell model in vitro. Methodology/Principal Findings To investigate the role of ARID1A gene in primary gastric cancer pathogenesis, real-time quantitative PCR and western blotting were used to examine the ARID1A expression in paired cancerous and noncancerous tissues. Results revealed decreased ARID1A mRNA (P = 0.0029) and protein (P = 0.0015) expression in most tumor-bearing tissues compared with the matched adjacent non-tumor tissues, and in gastric cancer cell lines. To further investigate the clinicopathological and prognostic roles of ARID1A expression, we performed immunohistochemical analyses of the 224 paraffin-embedded gastric cancer tissue blocks. Data revealed that the loss of ARID1A expression was significantly correlated with T stage (P = 0.001) and grade (P = 0.006). Consistent with these results, we found that loss of ARID1A expression was significantly correlated with poor survival in gastric cancer patients (P = 0.003). Cox regression analyses showed that ARID1A expression was an independent predictor of overall survival (P = 0.029). Furthermore, the functions of ARID1A in the proliferation and colony formation of gastric cell lines were analyzed by transfecting cells with full-length ARID1A expression vector or siRNA targeting ARID1A. Restoring ARID1A expression in gastric cancer cells significantly inhibited cell proliferation and colony formation. Silencing ARID1A expression in gastric epithelial cell line significantly enhanced cell growth rate. Conclusions/Significance Our data suggest that ARID1A may play an important role in gastric cancer and may serve as a valuable prognostic marker and potential target for gene therapy in the treatment of gastric cancer.
Imaging of alcohol‐induced dopamine release in rats:Preliminary findings with [11C]raclopride PET

Microdialysis studies report that systemic alcohol increases extracellular dopamine (DA) in the rat striatum. The present study examined whether changes in striatal DA could be detected in rats using small animal positron emission tomography (PET). PET images were acquired in 44 alcohol‐naïve male Wistar and alcohol‐preferring (P) rats. Subjects received up to three [11C]raclopride scans (rest, alcohol, and saline). Animals were anesthetized with isoflurane and secured on a stereotactic‐like holder during all scans. Blood samples were collected from the tail or lateral saphenous vein of 12 animals 10 min after tracer injection for determination of blood alcohol concentration (BAC). Time activity curves were extracted from the striatum and the cerebellum and binding potential (BPND) was calculated as a measure of D2 receptor availability. Wistars given 1.0 g kg−1 alcohol (20%v/v) i.v. or 3.0 g kg−1 alcohol (20%v/v) i.p. showed significant alcohol‐induced decreases in BPND. In P rats (given 1.5, 2.25, or 3.0 g kg−1 alcohol), no individual group showed a statistical effect of alcohol on BPND, but taken together, all P rats receiving i.p. alcohol had significantly lower BPND than rest or saline scans. Large decreases in BPND were primarily observed in rats with BAC above 200 mg%. Also, a significant difference was found between baseline BPND of Wistars who had undergone jugular catheterization surgery for i.v. alcohol administration and those who had not. Preliminary results suggest that alcohol‐induced DA release in the rat striatum is detectable using small animal PET given sufficiently large cohorts and adequate blood alcohol levels. Synapse, 2011. © 2011 Wiley‐Liss, Inc.
DIFFERENT SHADING NETS IN ESCAROLE GROWTH

The aim of work was to verify the effect of different shading levels in escarole crop, during summer in the northwest of Rio Grande do Sul. The experiment was conducted at the Federal University of Santa Maria, Frederico Westphalen RS Campus, in 2015 with Escarola Lisa escarole cultivar. The experimental design was a randomized complete block design with three shading levels (0%, 30%, 50%), with six replications. Growth evaluation were performed in destructive manner every seven days, from transplant to harvest point. From the information obtained, traits were determined: leaf area, leaf area index, leaf area ratio, specific leaf area, leaf weight ratio, biological productivity, absolute growth rate, relative growth rate, net assimilation rate. The data obtained were analyzed by the statistical program Genes, the Tukey test at 5% of error probability. The shading level 30% provided greater leaf area, higher biological productivity and absolute growth rate. However, the leaf area ratio was higher when shading level 50% was tested. However, it can be said that the shading levels favor growth of escarole crop.
Nurse Comforting Strategies

Throughout nursing’s history, comfort has been a desired outcome in the provision of nursing care. Yet, attempts to understand comfort and comforting have only recently emerged. To date, few studies have explored comfort and comforting from patients’ perspectives. The purpose of this qualitative exploratory study was to describe nurse comforting strategies as well as the outcomes of nurse comforting strategies from the perspective of emergency department (ED) patients. The study took place in a rural Canadian acute care regional hospital. A volunteer sample of 14 hospitalized patients who had received initial treatment in the ED were interviewed. Interviews were transcribed and content analysis performed. Participants described nurses’ comforting strategies under the following categories: immediate and competent technical/physical care, positive talk, vigilance, attending to physical discomforts, and including and attending to family. The comforting strategies used by nurses had a positive impact on the physical and emotional well-being of the participants.
Alteration of the α-Synuclein Folding Landscape by a Mutation Related to Parkinson’s Disease

α-Synuclein is an abundant presynaptic protein that is associated with several biological activities, including vesicle trafficking,1 maintenance of synaptic SNARE complexes and vesicle pools,2,3 and regulation of dopamine metabolism.4 The protein is believed to play a central role in the pathogenesis of Parkinson’s disease (PD), as evidenced by the identification of single point mutations and gene duplication/triplication that are causally linked to early-onset familial PD,5–8 as well as its conspicuous aggregation in filamentous inclusions associated with PD and other α-synucleinopathies.9 Under physiological conditions in vitro, α-synuclein exhibits properties of an intrinsically disordered protein (IDP). 10 Like many other IDPs,11 α-synuclein is known to acquire structure upon binding to biological partners, with strong implications for the regulation of its function and dysfunction.10,12
Dysferlin Is a New Marker for Leaky Brain Blood Vessels in Multiple Sclerosis

Dysferlin is a muscle protein involved in cell membrane repair and its deficiency is associated with muscular dystrophy. We describe that dysferlin is also expressed in leaky endothelial cells. In the normal central nervous system (CNS), dysferlin is only present in endothelial cells of circumventricular organs. In the inflamed CNS of patients with multiple sclerosis (MS) or in animals with experimental autoimmune encephalomyelitis, dysferlin reactivity is induced in endothelial cells and the expression is associated with vascular leakage of serum proteins. In MS, dysferlin expression in endothelial cells is not restricted to vessels with inflammatory cuffs but is also present in noninflamed vessels. In addition, many blood vessels with perivascular inflammatory infiltrates lack dysferlin expression in inactive lesions or in the normal-appearing white matter. In vitro, dysferlin can be induced in endothelial cells by stimulation with tumor necrosis factor-&agr;. Hence, dysferlin is not only a marker for leaky brain vessels, but also reveals dissociation of perivascular inflammatory infiltrates and blood-brain barrier disturbance in multiple sclerosis.
A calculus for information-driven networks

Information-driven networks include a large category of networking systems, where network nodes are aware of information delivered and thus can not only forward data packets but may also perform information processing. In many situations, the quality of service (QoS) in information-driven networks is provisioned with the redundancy in information. Traditional performance models generally adopt evaluation measures suitable for packet-oriented service guarantee, such as packet delay, throughput, and packet loss rate. These performance measures, however, do not align well with the actual need of information-driven networks. New performance measures and models for information-driven networks, despite their importance, have been mainly blank, largely because information processing is clearly application dependent and cannot be easily captured within a generic framework. To fill the vacancy, we develop a new performance evaluation framework particularly tailored for information-driven networks, based on the recent development of stochastic network calculus. Particularly, our model captures the information processing and the QoS guarantee with respect to stochastic information delivery rates, which have never been formally modeled before. This analytical model is very useful in deriving theoretical performance bounds for a large body of systems where QoS is stochastically guaranteed with a certain level of information delivery.
Field, Habitus and Capitals from Narratives of Unemployed Men with Families

This article proposes as a transversal axis the analysis of masculinity in unemployed men with families. The aim of this article is to analyse the connotations of field, habitus and capitals based on the narratives of unemployed men with families. In order to answer this question, an interpretative paradigm research with an exploratory multiple qualitative case study design with seven lower middle-class men from Bogotá, Colombia, is proposed. By means of a semi-structured biographical interview in which categorical analysis was carried out after axial coding. In the results, the hegemonic expectations of the male gender are recognised as explicit, which are linked to the ideal of well-being that cannot be fulfilled. Social class is dynamic, maintaining constructed fields and hegemonic gender habitus apprehended and stripped of symbolic capital. These conditions together reveal that masculinity is constructed on the basis of hegemonic expectations of what is expected of men within the social structure. It generates tension to assume the change of the field, habitus and capitals at the moment of unemployment.