Miracle-dz/UniFAR-FTUs huggingface dataset:
Proteomic Analysis of the Molecular Mechanism of Lovastatin Inhibiting the Growth of Nasopharyngeal Carcinoma Cells

Metabolic abnormalities are one of the essential features of tumors. Increasingly more studies have shown that lovastatin, a lipid-reducing drug, has visible inhibitory effects on tumors, but it has not been reported in nasopharyngeal carcinoma. In this paper, we explored the effects of lovastatin on the growth of nasopharyngeal carcinoma cells and its possible molecular mechanisms. After treating nasopharyngeal carcinoma cells with different concentrations of lovastatin, we found that lovastatin can inhibit the growth of nasopharyngeal carcinoma in a time- and dose-dependent manner. To explore the molecular mechanism of how lovastatin inhibits the growth of nasopharyngeal carcinoma, we examined the proteome of nasopharyngeal carcinoma cells treated at different time points using an LC/MS whole-proteomic strategy. The molecular network of differentially expressed proteins was constructed using IPA software. It was found that lovastatin inhibited the growth of nasopharyngeal carcinoma cells mainly by affecting the EIF2 and the mTOR pathways, which regulate cell metabolism and apoptosis. The results of this study provide a robust basis for further research on the molecular mechanism of lovastatin's inhibition of nasopharyngeal carcinoma cells and provide a reference for the clinical use of lovastatin in the treatment of nasopharyngeal carcinoma.
Exploiting corpus evidence for automatic sense induction

English) In this paper, we discuss the application of a sense induction procedure to data from CORIS, a wellbalanced reference corpus of Italian. The method considered discriminates between the different senses of a word by analysing the relationships between its collocates and suggesting collocate clusters, each of which corresponds to one sense of a word. The collocate clusters are represented as 3D-graphs in a semantic space. We show that for some examples the method can satisfactorily induce the senses of the chosen node; however, we also show that for some controversial instances human interpretation of the results is needed. We thus conclude that, although powerful, automated systems still require human knowledge both for the analysis and the interpretation of language phenomena, and that an integration of the two methodologies is desirable.
Cross dipole rectennas for satellite health monitoring

This paper addresses recent results obtained by using cross dipole rectennas designed for Ku band. The targeted application is the harvesting of the spill-over losses of microwave antennas in order to power autonomous wireless sensors used for satellite health monitoring. Introduction Recently, the harvesting of the spill-over losses of the microwave antennas was identified as a realistic solution to power autonomous wireless sensors for health monitoring of the antenna panels of the broadcasting satellites [1]. The electromagnetic power radiated by microwave antennas is almost constant and consequently the DC power regulatory circuits should be minimal for the harvesting systems/rectennas. Nevertheless the rectenna should be compact, energetically efficient and robust. Moreover it should be as simple as possible and compatible with space design requirements in terms of thermal, mechanical and radiation safety/immunity behavior. This paper presents recent results obtained in Ku band by using an innovative rectenna topology based on a compact printed cross dipole antenna array and low cost Schottky diode. 1. Topology The proposed topology is composed by: four cross dipoles array (4CDAA) and a silicon Schottky diode – Skyworks SMS7630 [2]. The PCB layout and a photo of the manufactured rectenna is shown in Fig. 1. The antenna array and the diode are mounted on the top of the PCB while the RF shunt capacitor is mounted on the bottom side of PCB. A reflector metallic plate is added on the bottom side in order to improve the antenna gain. This compact topology (its size is fixed by the size of the antenna array) is an extension of a rectenna using two cross dipole antenna array 2CDAA presented in [3] and a non-resonant matching technique is used. This non-resonant matching is obtained by properly controlling (i) the input impedance of the antenna array and (ii) the input impedance of the rectifier itself (composed by the diode and the low pass RC filter implemented by using the shunt capacitor and the load).
1-1-2010 Memory CD 8 + T Cell Differentiation

In response to infection or effective vaccination, naive antigen-specific CD8+ T cells undergo a dramatic highly orchestrated activation process. Initial encounter with an appropriately activated antigen-presenting cell leads to blastogenesis and an exponential increase in antigen-specific CD8+ T cell numbers. Simultaneously, a dynamic differentiation process occurs, resulting in formation of both primary effector and long-lived memory cells. Current findings have emphasized the heterogeneity of effector and memory cell populations with the description of multiple cellular subsets based on phenotype, function, and anatomic location. Yet, only recently have we begun to dissect the underlying factors mediating the temporal control of the development of distinct effector and memory CD8+ T cell sublineages. In this review we will focus on the requirements for mounting an effective CD8+ T cell response and highlight the elements regulating the differentiation of effector and memory subsets.
Development of an Open Framework to Provide Intelligent Multi-modal Mobility Services

(Dr. Raffaele De Amicis, Fondazione Graphitech, via All Cascata 56, Trento, Italy, raffaele.de.amicis@g raphitech.it) (Dr. Giuseppe Conti, Fondazione Graphitech, via Alla Cascata 56, Trento, Italy, giuseppe.conti@graphitec .it) (Mr. Diego Taglioni, Fondazione Graphitech, via Al la Cascata 56, Trento, Italy, diego.taglioni@graphit ech.it) (Mr. Daniele Magliocchetti, Fondazione Graphitech, via Alla Cascata 56, Trento, Italy, daniele.maglioc chetti@graphitech.it) (Mr. Gabrio Girardi, Fondazione Graphitech, via Al la Cascata 56, Trento, Italy, gabrio.girardi@graphit ech.it)
The Adherence to Hormonal Deprivation Therapy for Prostate Cancer in a Real Life Contest : Retrospective , Single-Centre Study

Introduction and Objectives: The Androgen Deprivation Therapy (ADT) is one of the therapeutic options for the treatment of prostate cancer (PCA), both for the advanced forms and metastatic forms, in a neoadjuvant or adjuvant setting, alone or in combination with surgery or radiotherapy (RT). Aim of the study is to appraise the adherence to the ADT. Material and Methods: Patients with diagnosis of PCA, for which an ADT (leuprorelin, triptorelin or degarelix) has been prescribed, have been followed between January 2008 to December 2015. Demographic, histopathological and clinical data were collected. Results: 136 patients (mean age 76y and PSA 91.9 ng/ml) were followed over time. At diagnosis, 34% had a Gleason Score >7; 108 patients were exclusively treated by ADT: the drugs were prescribed as follow: 49% leuprorelin, 42% triptorelin, 9% degarelix. The mean follow-up was 3.5y, with a mean years of prescription of 3.4. Therefore the adherence was 98%. Of the 108 patients available for the analysis, 63 are currently treated by ADT, while 45 have stopped. The causes for discontinuation were: death, physician’s choice and patient’s preference in 56%, 33% and 11% of the cases, respectively. Conclusions: Today we have little and rarely data the data on patient’s adherence to ADT in the literature. On the basis of our results we highlight an adherence to the ADT close to 100%: it’s a regimen with high adherence.
GOVERNANCE-BASED MANAGEMENT OF OPEN DISTRIBUTED SYSTEMS

OF THE DISSERTATION Governance-Based Management of Open Distributed Systems by Wenxuan Zhang Dissertation Director: Naftaly H. Minsky Software technology is undergoing transition from monolithic systems constructed according to a single overall design, into open systems, i.e., loosely coupled distributed and heterogeneous systems, whose component parts may be written in different languages, run on different platforms, and be designed, constructed, or even maintained under different administrative domains. For an open system to be dependable it must be managed dynamically. The common approaches of managing open systems are based on industrial standards like WSDM (Web Services Distributed Management), and they rely on the components of the managed system to cooperate in the management process, by providing the managers with the means to monitor their state and activities, and to control their behaviour. We argue these standard-based approaches have some serious deficiencies, when applied to open systems, and it largely fails to meet some critical needs of good management. In particular, we believe (1) it is unreliable and inflexible; and (2) it does not have enough ability to handle what we call reflexive management, i.e., the ability to
MODELING THE GEOCHEMICAL IMPACT OF AN INJECTION OF CO2 AND ASSOCIATED REACTIVE IMPURITIES INTO A SALINE RESERVOIR

Numerical simulations performed with the TOUGHREACT code focus on the chemical reactivity of deep reservoir rock impacted by an injection of CO2 and associated reactive impurities (mainly SO2 and O2). A simplified two-dimensional radial geo-model representing the near wellbore domain of a saline reservoir enabled us to capture the global geochemical behaviour of this underground zone. Two ratios CO2/SO2 are investigated. The results of the numerical simulations highlight the high reactivity of the near-well zone in the case where ancillary gases (SO2 and O2) are injected with CO2 with dissolution of carbonates and precipitation of sulfate minerals. Major reactions occur in the reservoir formation, whereas clays of the caprock are only slightly affected by the injection of CO2 and associated reactive impurities.
Comparison of Escherichia coli levels in shellfish from Mediterranean coast , Morocco

Monitoring of Escherichia coli levels in commercial bivalve shellfish is intended to protect consumer health from foodborne diseases. This study aims to identify if one species can be used as indicator for microbiological contamination of other species present. During 2012, 168 samples of shellfish (clams, cockles and mussels) were analysed for E. coli by MPN technique. 62.5% of samples complied with regulatory threshold ≤230 MPN and geometric mean were higher in cockles than in clams or mussels in each site. Statistical significance was observed between sites. Seasonally, the highest levels were recorded in wet weather (winter and spring) due to runoff of waters from rainfall and lowest levels were recorded in dry weather (summer) when high temperatures show bactericidal effect. Our findings show cockles could be as sentinel specie for burrowing shellfish, but for non burrowing (mussels), monitoring should be done on this specie.
An Unbiased Variance Estimator of a K-sample U-statistic with Application to AUC in Binary Classification

: Many questions in research can be rephrased as binary classiﬁcation tasks, to ﬁnd simple yes-or-no answers. For classiﬁers trained to answer these queries, area under the ROC (receiver operating characteristic) curve (AUC) is a popular metric for assessing the performance of a binary classiﬁcation method. However, due to sampling variation, the model with the largest AUC score for a given data set is not necessarily the optimal model. Thus, it is important to evaluate the variance of AUC. We ﬁrst recognize that AUC can be estimated unbiasedly in the form of a two-sample U-statistic. We then propose a new method, an unbiased variance estimator of a general K-sample U-statistic, and apply it to evaluating the variance of AUC. To realize the proposed unbiased variance estimator of AUC, we propose to use a partition resampling scheme that yields high computational e � ciency. We conduct simulation studies to investigate the performance of the developed method in comparison to bootstrap and jackknife variance estimators. The simulations suggest that the proposal yields comparable or even better results in terms of bias and mean squared error. In addition, it has signiﬁcantly improved computational e � ciency compared to its resampling-based counterparts. Moreover, we also discuss the generalization of the devised method to estimating the variance of a general K-sample U-statistic (K � 2), which has broad applications in practice.
Fetal and Infant Outcomes in the Offspring of Parents With Perinatal Mental Disorders: Earliest Influences

Mental illness is highly prevalent and runs in families. Mental disorders are considered to enhance the risk for the development of psychopathology in the offspring. This heightened risk is related to the separate and joint effects of inherited genetic vulnerabilities for psychopathology and environmental influences. The early years of life are suggested to be a key developmental phase in the intergenerational psychopathology transmission. Available evidence supports the idea that early exposure to parental psychopathology, during the pregnancy and first postpartum year, may be related to child psychological functioning beyond the postpartum period, up to adulthood years. This not only highlights the importance of intervening early to break the chain of intergenerational transmission of psychopathology but also raises the question of whether early interventions targeting parental mental disorders in this period may alleviate these prolonged adverse effects in the infant offspring. The current article focuses on the specific risk of psychopathology conveyed from mentally ill parents to the offspring during the pregnancy and first postpartum year. We first present a summary of the available evidence on the associations of parental perinatal mental illness with infant psychological outcomes at the behavioral, biological, and neurophysiological levels. Next, we address the effects of early interventions and discuss whether these may mitigate the early intergenerational transmission of risk for psychopathology. The summarized evidence supports the idea that psychopathology-related changes in parents’ behavior and physiology in the perinatal period are related to behavioral, biological, and neurophysiological correlates of infant psychological functioning in this period. These alterations may constitute risk for later development of child and/or adult forms of psychopathology and thus for intergenerational transmission. Targeting psychopathology or mother-infant interactions in isolation in the postnatal period may not be sufficient to improve outcomes, whereas interventions targeting both maternal psychopathology and mother-infant interactions seem promising in alleviating the risk of early transmission.
Sticking for a Cause: The Falciparum Malaria Parasites Cytoadherence Paradigm

After a successful invasion, malaria parasite Plasmodium falciparum extensively remodels the infected erythrocyte cellular architecture, conferring cytoadhesive properties to the infected erythrocytes. Cytoadherence plays a central role in the parasite's immune-escape mechanism, at the same time contributing to the pathogenesis of severe falciparum malaria. In this review, we discuss the cytoadhesive interactions between P. falciparum infected erythrocytes and various host cell types, and how these events are linked to malaria pathogenesis. We also highlight the limitations faced by studies attempting to correlate diversity in parasite ligands and host receptors with the development of severe malaria.
Kallikrein/K1, Kinins, and ACE/Kininase II in Homeostasis and in Disease Insight From Human and Experimental Genetic Studies, Therapeutic Implication

Kallikrein-K1 is the main kinin-forming enzyme in organs in resting condition and in several pathological situations whereas angiotensin I-converting enzyme/kininase II (ACE) is the main kinin-inactivating enzyme in the circulation. Both ACE and K1 activity levels are genetic traits in man. Recent research based mainly on human genetic studies and study of genetically modified mice has documented the physiological role of K1 in the circulation, and also refined understanding of the role of ACE. Kallikrein-K1 is synthesized in arteries and involved in flow-induced vasodilatation. Endothelial ACE synthesis displays strong vessel and organ specificity modulating bioavailability of angiotensins and kinins locally. In pathological situations resulting from hemodynamic, ischemic, or metabolic insult to the cardiovascular system and the kidney K1 and kinins exert critical end-organ protective action and K1 deficiency results in severe worsening of the conditions, at least in the mouse. On the opposite, genetically high ACE level is associated with increased risk of developing ischemic and diabetic cardiac or renal diseases and worsened prognosis of these diseases. The association has been well-documented clinically while causality was established by ACE gene titration in mice. Studies suggest that reduced bioavailability of kinins is prominently involved in the detrimental effect of K1 deficiency or high ACE activity in diseases. Kinins are involved in the therapeutic effect of both ACE inhibitors and angiotensin II AT1 receptor blockers. Based on these findings, a new therapeutic hypothesis focused on selective pharmacological activation of kinin receptors has been launched. Proof of concept was obtained by using prototypic agonists in experimental ischemic and diabetic diseases in mice.
Arabidopsis Histone Methyltransferase SUVH5 Is a Positive Regulator of Light-Mediated Seed Germination

Plant lifecycle starts from seed germination, which is regulated by various environmental cues and endogenous hormones. Light promotes seed germination mainly by phytochrome B (PHYB) during the initial phase of imbibition, which involves genome-wide light-responsive transcription changes. Recent studies indicated an involvement of multiple epigenetic factors in the control of seed germination. However, few studies have been reported about the role of a histone methyltransferase in light-mediated seed germination process. Here, we identified SUVH5, a histone H3 lysine 9 methyltransferase, as a positive regulator in light-mediated seed germination in Arabidopsis. Loss of function of SUVH5 leads to decreased PHYB-dependent seed germination. RNA-sequencing analysis displayed that SUVH5 regulates 24.6% of light-responsive transcriptome in imbibed seeds, which mainly related to hormonal signaling pathways and developmental processes. Furthermore, SUVH5 represses the transcription of ABA biosynthesis and signal transduction-related genes, as well as a family of DELAY OF GERMINATION (DOG) genes via dimethylation of histone H3 at lysine 9 (H3K9me2) in imbibed seeds. Taken together, our findings revealed that SUVH5 is a novel positive regulator of light-mediated seed germination in Arabidopsis.
Contemporary Educational Interventions for General Practitioners (GPs) in Primary Care Settings in Australia: A Systematic Literature Review

Background: The primary purpose of educational interventions is to optimize the clinical management of patients. General practitioners (GPs) play a major role in the detection and management of diseases. This systematic literature review will describe the type and outcomes of educational interventions designed for general practitioners (GPs) in the Australian context. Methods: PubMed, CINHAL, and Scopus databases were systematically searched for studies on educational interventions conducted for GPs in Australia during 1st January 2008 to 11th June 2018. Data collected on the methodology of the interventions, GPs satisfaction regarding the educational intervention, changes in knowledge, confidence, skills and clinical behavior of the GPs. We also assessed whether the acquired clinical competencies had an impact on organizational change and on patient health. Results: Thirteen publications were included in this review. The methods with which educational interventions were developed and implemented varied substantially and rigorous evaluation was generally lacking particularly in detailing the outcomes. The reported GP response rate varied between 2 and 96% across studies, depending upon the method of recruitment, the type of intervention and the study setting (rural vs. urban). The most effective recruitment strategy was a combination of initial contact coupled with a visit to GP practices. Nine of the studies reviewed reported improvement in at least one outcome measure: gaining knowledge, improving skills or change in clinical behavior which was translated into clinical practice. In the 3 pre- and post-intervention analysis studies, 90–100% of the participating GPs reported improvement in their knowledge and attitudes. Conclusion: Education interventions for GPs in Australia had low response (recruitment) and retention (GPs that participated in follow-ups) rates, even when financial benefits or CPD points were used as incentives. Higher GP response rates were achieved through multiple recruitment strategies. Multifaceted interventions were more likely to achieve the primary outcome by improving knowledge, skills or changing practice, but the effect was often modest. Inconsistent results were reported in studies involving the use of multiple contact methods within an intervention and conducting online interventions.
OCCI-Compliant, Fully Causal-Connected Architecture Runtime Models Supporting Sensor Management

The Open Cloud Computing Interface (OCCI) specification describes a service provider independent application programming interface for the management of heterogeneous cloud resources. Several implementations and tools for this interface have already been provided that allow defining, triggering and executing changes to dynamic cloud systems. With the OCCI monitoring extension that is presented in this paper it is possible to additionally manage the deployment and configuration of monitoring sensors in the cloud. It enables the representation of the sensors as well as their monitoring results in an OCCI-compliant runtime model. Therefore, the provided OCCI metamodel extension is the first OCCI-compliant architecture runtime model approach realizing a full causal connection covering not only execution but also monitoring aspects. Through the extension the OCCI runtime model becomes a knowledge base that in combination with other existing artifacts from the OCCI ecosystem allows integrating complete control loops for self-adaptation into cloud systems with less development effort at the abstraction level of the runtime model.
Developing graphical methods in sociophonetics: outline of a research agenda

1. Watt & Fabricius S-centroid normalization • a vowel extrinsic, formant intrinsic centroid-based normalization algorithm (Watt & Fabricius 2002; Fabricius, Watt & Johnson 2009) • built into the NORM normalization and plotting suite (Thomas & Kendall 2007) • has been applied to a broad range of data from varieties of English and other languages (Kamata 2006; Winn et al. 2008; Mesthrie 2010; Bigham 2010; Simonet 2010) • further road-tests published and in progress (Clopper 2009; Flynn 2011)