Miracle-dz/UniFAR-FTUs huggingface dataset:
Deep Bidirectional Transformers for Italian Question Answering

English. Deep learning continues to achieve state-of-the-art results in several NLP tasks, such as Question Answering (QA). Unfortunately, the requirements of neural QA systems are very strict in the size of the involved training datasets. Recent works show that the application of Automatic Machine Translation is an enabling factor for the acquisition of large scale QA training sets in resource poor languages such as Italian. In this work, we show how these resources can be used to train a state-of-the-art deep architecture, based on effective techniques recently proposed within the Bidirectional Encoder Representations from Transformers (BERT) paradigm.
Non-locally modular regular types in classifiable theories

We introduce the notion of strong $p$-semi-regularity and show that if $p$ is a regular type which is not locally modular then any $p$-semi-regular type is strongly $p$-semi-regular. Moverover, for any such $p$-semi-regular type,"domination implies isolation"which allows us to prove the following: Suppose that $T$ is countable, classifiable and $M$ is any model. If $p\in S(M)$ is regular but not locally modular and $b$ is any realization of $p$ then every model $N$ containing $M$ that is dominated by $b$ over $M$ is both constructible and minimal over $Mb$.
Kynurenine, a Tryptophan Metabolite That Increases with Age, Induces Muscle Atrophy and Lipid Peroxidation

The cellular and molecular mechanisms underlying loss of muscle mass with age (sarcopenia) are not well-understood; however, heterochronic parabiosis experiments show that circulating factors are likely to play a role. Kynurenine (KYN) is a circulating tryptophan metabolite that is known to increase with age and is a ligand of the aryl hydrocarbon receptor (Ahr). Here, we tested the hypothesis that KYN activation of Ahr plays a role in muscle loss with aging. Results indicate that KYN treatment of mouse and human myoblasts increased levels of reactive oxygen species (ROS) 2-fold and KYN treatment in vivo reduced muscle size and strength and increased muscle lipid peroxidation in young mice. PCR array data indicate that muscle fiber size reduction with KYN treatment reduces protein synthesis markers whereas ubiquitin ligase gene expression is not significantly increased. KYN is generated by the enzyme indoleamine 2,3-dioxygenase (IDO), and aged mice treated with the IDO inhibitor 1-methyl-D-tryptophan showed an increase in muscle fiber size and muscle strength. Small-molecule inhibition of Ahr in vitro, and Ahr knockout in vivo, did not prevent KYN-induced increases in ROS, suggesting that KYN can directly increase ROS independent of Ahr activation. Protein analysis identified very long-chain acyl-CoA dehydrogenase as a factor activated by KYN that may increase ROS and lipid peroxidation. Our data suggest that IDO inhibition may represent a novel therapeutic approach for the prevention of sarcopenia and possibly other age-associated conditions associated with KYN accumulation such as bone loss and neurodegeneration.
Star Circular RNAs In Human Cancer: Progress And Perspectives

: Circular RNAs (circRNAs) are a recently discovered subclass of non-coding RNAs (ncRNAs) characterized by a covalently closed loop structure created by reverse splicing. Because they do not have a 5 ʹ cap structure and a 3 ʹ poly A tail, circRNAs have higher stability, abundance and evolutionary conservation than linear RNA between species. These features produce various potential biological functions of circRNAs, such as miRNA sponges, RNA-binding proteins that form RNA protein complexes. In recent years, more and more studies have shown that circRNAs play a vital role in the occurrence and development of human diseases. At the same time, their enormous potential as a biomarker and therapeutic target is also evolving. The purpose of this review is to summarize existing cancer-associated circRNAs and to try to ﬁ nd circRNAs that are abnormally expressed in many cancers. Therefore, we reviewed previous circRNAs studies related to cancer and selected them by statistics. The eight circRNAs that have the highest frequency in different cancers or involve key pathways are called star circRNAs. Here, we review the classi ﬁ cation, features, and functions of emerging star circRNAs, with particular attention to the role of circRNAs in various cancers. miR-330 and miR-382 to regulate multiple tumor-associated pathways.
Metric Classification Network in Actual Face Recognition Scene

In order to make facial features more discriminative, some new models have recently been proposed. However, almost all of these models use the traditional face verification method, where the cosine operation is performed using the features of the bottleneck layer output. However, each of these models needs to change a threshold each time it is operated on a different test set. This is very inappropriate for application in real-world scenarios. In this paper, we train a validation classifier to normalize the decision threshold, which means that the result can be obtained directly without replacing the threshold. We refer to our model as validation classifier, which achieves best result on the structure consisting of one convolution layer and six fully connected layers. To test our approach, we conduct extensive experiments on Labeled Face in the Wild (LFW) and Youtube Faces (YTF), and the relative error reduction is 25.37% and 26.60% than traditional method respectively. These experiments confirm the effectiveness of validation classifier on face recognition task.
On the investigation of an interdigitated, high capacitance ratio shunt RF-MEMS switch for X- band applications

This paper presents a novel, highly compact capacitive shunt RF MEMS switch. In the presented configuration interdigitation of signal lines with actuation electrodes is considered. The compactness has been achieved further by incorporating HfO2 a high -k dielectric material in place of traditionally used SiO2. The capacitive overlap area reduces by 70% , leading to the overall reduction of about 15% in the switch size. Switch with HfO2 optimized for X band shows -56.78 dB isolation and 0.058 dB insertion loss at 10 GHz as compared to the -40.8 dB isolation, -0.1 dB insertion loss for the switch with SiO2. Significant improvement in switching time is also observed. Pull-in voltage of 5.6V is obtained at a gap of 1um between bridge and transmission line. The compact switch can be useful for the future communication applications.
An Empirical Analysis Of Trade Openness And Income Inequality In India (1970-2013)

Stolper-Samuelson theory that emerged from the Heckscher-Ohlin theory predicts that trade openness increases the income inequality in developed countries and decreases the income inequality in developing countries by favourably influencing the returns of the country‟s abundant factors and vice-versa . But in theoretical as well as in empirical literature many studies are present who do not support the StolperSamuelson‟s prediction regarding this particular relationship. Among the empirical literature some studies support the Stolper-Samuelson theory, while many of them find positive, negative as well as mixed and inconclusive results. So, this study is conducted in order to examine the long run relationship between trade openness and income inequality in particular case of India over the study period 1970-2013. The study applies Stability tests for structural breakpoint, Augmented Dickey-Fuller (ADF) Unit Root test, Johansen (1991) and Johansen and Juselius (1990) Cointegration test. The results of the cointegration test suggest that there is no long run relationship between trade openness and income inequality in India. This implies that increasing income inequality in India is due to some other reasons. Research can be carried out to determine the drivers of income inequality in India and this will be fruitful to maintain income inequality at a minimum level.
Influence of specific gravity on wood species selection for agroforestry in some Local Government Areas of Oyo State, Nigeria

Specific gravity (SG) of wood has not been adequately reported to be a factor directly or indirectly influencing its selection for incorporation into or retention in some of the agroforestry systems. In this study, the SG of twelve wood species that top the priority ranking of respondents in Akinyele and Ido Local Government Areas (LGAs), Oyo State, Nigeria, where the predominant type of agroforestry system practiced is that of scattered trees in croplands, were evaluated and found to range between 0.42 and 0.85 with eleven of the species having values > 0.60. Ranking pattern by the respondents in the two LGAs was found not to be significantly different using Friedman chi-square analysis (χ2 = 2.17, p 0.80, p < 0.05) between SG and cumulative ranking values in the two LGAs. Conclusion and recommendations were made in line with the outcome of the study. Key words: Agroforestry technologies, wood specific gravity, species selection, natural resources, indigenous knowledge.
mPeer: A Mobile Health Approach to Monitoring PTSD in Veterans

MPEER: A MOBILE HEALTH APPROACH TO MONITORING PTSD IN VETERANS Casey J. O’Brien, B.S. Marquette University, 2013 More than 2.2 million US service members have seen deployment to Iraq and Afghanistan over the past decade. As the number of veterans returning home has increased, the need for new and innovative approaches to the variety and severity of mental health issues experienced after deployment remains a national priority. Affecting between 15-20% of the veteran population and largely treatment resistant, Post Traumatic Stress Disorder (PTSD) poses a challenging problem for the mental health community. Recent veteran related studies have suggested a paradigm shift in conceptualizing PTSD in terms of specific high-risk behaviors rather than traditional symptoms. Young and technology savvy, many veteran populations are uniquely poised to embrace mobile health (mHealth) approaches to monitoring and addressing health related issues. In this thesis, we document the design and implementation of a smartphone-based system that coordinates the collection of data potentially relevant for monitoring high-risk behavior in veterans. We describe the details of an unobtrusive smartphone application for the Android platform that collects data from a variety of smartphone sensors and administers daily self-report questionnaires. Finally, we confirm system performance with data from student volunteers.
Anomalies of dwellers' collective geotagged behaviors in response to rainstorms: a case study of eight cities in China using smartphone location data

Abstract. Understanding city residents' collective geotagged behaviors (CGTBs) in response to hazards and emergency events is important in disaster mitigation and emergency response. It is a challenge, if not impossible, to directly observe CGTBs during a real-time matter. This study used the number of location requests (NLR) data generated by smartphone users for a variety of purposes such as map navigation, car hailing, and food delivery to infer the dynamics of CGTBs in response to rainstorms in eight Chinese cities. We examined rainstorms, flooding, and NLR anomalies, as well as the associations among them, in eight selected cities across mainland China. The time series NLR clearly reflects cities' general diurnal rhythm, and the total NLR is moderately correlated with the total city population. Anomalies of the NLR were identified at both the city and grid scale using the Seasonal Hybrid Extreme Studentized Deviate (S-H-ESD) method. Analysis results demonstrated that the NLR anomalies at the city and grid levels are well associated with rainstorms, indicating that city residents request more location-based services (e.g., map navigation, car hailing, food delivery, etc.) when there is a rainstorm. However, the sensitivity of the city residents' collective geotagged behaviors in response to rainstorms varies in different cities as shown by different peak rainfall intensity thresholds. Significant high peak rainfall intensity tends to trigger city flooding, which leads to increased location-based requests as shown by positive anomalies in the time series NLR.
Microturbulent Velocity in the Atmospheres of G Spectral Classes Star

The microturbulence is investigated in the atmospheres of some G spectral classes stars by the atmosphere model. The microturbulent velocities are determined on the basis of comparison of the values measured from observation and theoretically calculated equivalent widths of lines FeII. It has been found that the microturbulent velocity (ðði ) depends on the surface gravity (g) in the atmospheres of the star: ðði decreases with increasing g. The microturbulent velocity is less in the stars with intense atmosphere.
From Sartre to Frege in Three Steps: A* Search for Enriching Semantic Text Similarity Measures

English. In this paper we illustrate a preliminary investigation on semantic text similarity. In particular, the proposed approach is aimed at complementing and enriching the categorization results obtained by employing standard distributional resources. We found that the paths connecting entities and concepts from documents at stake provide interesting information on the connections between document pairs. Such semantic browsing device enables further semantic processing, aimed at unveiling contexts and hidden connections (possibly not explicitly mentioned in the documents) between text documents. 1
DDDT_A_221927 3343..3355

Point your SmartPhone at the code above. If you have a QR code reader the video abstract will appear. Or use: https://youtu.be/Rof26FwiITs Objective: To investigate the effects of Chinese herb Danzhi Xiaoyao pills on the pharmacokinetics of venlafaxine and its metabolites O-desmethylvenlafaxine (ODV) and N-desmethylvenlafaxine (NDV) in beagles by using ultra-performance liquid chromatography-tandem mass spectrometry (UPLC-MS/MS). Methods: Six beagles (half male, half female) were chosen to test, being fasted before the experiment but having free access to drinking water 1 day before being fed drugs. After oral administration of venlafaxine hydrochloride tablets (10.28 mg/kg), the blood samples were collected in succession at different points in time. After 1-week washout period, Danzhi Xiaoyao pills (0.6g/kg) were given through oral administration to the six beagles every morning until the 7th day, venlafaxine hydrochloride tablets (10.28 mg/kg) were given after feeding Danzhi Xiaoyao pills (0.6g/kg) half an hour and blood samples were collected continuously at different points. All samples were analyzed by UPLC-MS/MS, and the main pharmacokinetic parameters of venlafaxine, ODVand NDV were computed by DAS 2.0. Results: The Cmax of the venlafaxine group (control group) and the combination group (experimental group) were (2267.26±252.89) ng/mL and (1542.64±190.73) ng/mL, respectively. The AUC(0-∞) of the two groups were (13,934.79±3609.23) ng·h/mL and (8001.91±2167.58) ng·h/mL, respectively. The ODV Cmax of the two groups were (2253.80±215.81) ng/mL and (2721.37 ±118.20) ng/mL, and AUC(0-∞) were (13,974.99±2784.04) ng·h/mL and (17,539.44±1894.29) ng·h/mL, respectively. The NDV Cmax of the two groups were (50.98±5.76) ng/mL and (58.74 ±12.33) ng/mL, and AUC(0-∞) were (179.26±34.94) ng·h/mL and (220.68±51.41) ng·h/mL, respectively. After administration of Danzhi Xiaoyao pills, the Cmax and AUC(0-∞) of venlafaxine decreased significantly, indicating that the plasma exposure of venlafaxine decreased. The increase of Cmax and AUC(0-∞) of ODVand NDV indicated a rise in plasma exposure. Conclusion: Danzhi Xiaoyao pills can accelerate the metabolism of venlafaxine in beagles. In clinical, when venlafaxine was co-administrated with Danzhi Xiaoyao pills, dose adjustment of venlafaxine should be taken into account.
Designing of Intrusion Detection System using Data Mining Techniques

: Due to the widespread diffusion of network connectivity, the demand for network security and protection against cyber-attacks is ever increasing. Intrusion detection systems (IDS) perform an essential role in today’s network security. This paper proposes an IDS based on feature selection and clustering algorithm using filter and wrapper methods. Filter and wrapper methods are named feature grouping based on linear correlation coefficient (FGLCC) algorithm and cuttlefish algorithm (CFA), respectively. Artificial Neural Network is used as the classifier in the proposed method. For performance verification, the proposed method was applied on KDD Cup 99 large data sets. The results verified a high accuracy (95.03%) and detection rate (95.23%) with a low false positive rate (1.65%) compared to the existing methods in the literature .
Pathways to Parenthood among LGBTIQ People in Croatia: Who Wants to Become a Parent and How?

Lesbian, gay, bisexual, transgender, intersex and queer (LGBTIQ) people can become parents using various methods, but actual possibilities differ between countries depending on the legislation and social norms. The main goal of this study was to explore parenting desire and family formation methods among LGBTIQ people in Croatia. Differences in parenting desire based on sociodemographic characteristics, the frequency and use of family formation methods, as well as the importance of different sources of support for parenthood were analysed. 486 childless LGBTIQ people (aged 18 to 54) and 24 LGBTIQ people who were parents (aged 24 to 54) participated in an online survey. Childless participants who did not want children were on average older in comparison to those who wanted to have children. There were no significant differences in desire for parenthood based on education, income and relationship status, as well as between cis-females and cis-males and lesbians and gays. Most of the participants who were already parents had a child in a previous heterosexual relationship, while most of those who tried to become parents used an assisted reproductive technology. Among all the participants, the most preferred family formation methods were adoption and foster care, and partners were considered as the most important source of support for parenthood. Childless participants who wanted to have children perceived significantly more support from family, friends, and a significant other in comparison to those who did not want children. These results provide novel insights into the decision-making processes LGBTIQ people go through before family formation and indicate associations between the life context (e.g. age, social support) and parenting desire.
A mixed method study on selfishness, selfism-related behaviour, and religious, psycho-social influences

The current study employed a mixed method analysis to examine various hypotheses related to the notion of selfishness, as well to investigate the selfishness or selfism-related behaviours. A total of 179 adults participants undertook a survey including a total of 66 questions. It has been found no significant difference in levels of selfishness between genders or groups of internal and external locus of control. Furthermore, no significant correlation has been found between age and levels of selfishness. A significance model was revealed in the case of the fourth hypothesis, which found a cumulatively effect of locus of control, social support and religiousness commitment upon selfishness, with only the last variable presenting real significance. These finding were somewhat inconsistent with previous research. On the other hand the qualitative analysis supported the previous findings, mainly categorising selfishness related behaviours into negative behaviours, positive behaviours and emotional instability. Findings call for further research in order to better understand the phenomenon and develop real life applications.
RISK DISCLOSURES IN FINANCIAL STATEMENTS OF BANKS IN BOSNIA AND HERZEGOVINA

This study examines the practice of disclosing risk information in the financial statements of banks in Bosnia and Herzegovina. The research is carried out using the content analysis. The aim of the research is to determine the volume and characteristics of risk disclosures. The results of research show that banks in Bosnia and Herzegovina disclose less risk information than banks in developed countries, such as Canada and the UK. Most information is disclosed about credit risk. More quantitative than qualitative data is disclosed. The banks are focused on providing mandatory risk disclosures but they do not provide all mandatory disclosures. They primarily disclose past and time-neutral risk information. They are more likely to disclose positive and neutral news about risk exposure and risk management rather than negative news.
Evaluation of the CAMS global atmospheric trace gas reanalysis 2003–2016 using aircraft campaign observations

Abstract. The Copernicus Atmosphere Monitoring Service (CAMS) operated by the European Centre for Medium-Range Weather Forecasts (ECMWF) has produced a global reanalysis of aerosol and reactive gases (called CAMSRA) for the period 2003–2016. Space observations of ozone, carbon monoxide, NO2 and aerosol optical depth are assimilated by a 4D-Var method in the 60-layer ECMWF global atmospheric model, which for the reanalysis is operated at a horizontal resolution of about 80 km. As a contribution to the evaluation of the reanalysis, we compare atmospheric concentrations of different reactive species provided by the CAMS reanalysis with independent observational data gathered by airborne instrumentation during the field campaigns INTEX-A, INTEX-B, NEAQS-ITCT, ITOP, AMMA, ARCTAS, VOCALS, YAK-AEROSIB, HIPPO and KORUS-AQ. We show that the reanalysis rather successfully reproduces the observed concentrations of chemical species that are assimilated in the system, including O3 and CO with biases generally less than 20 %, but generally underestimates the concentrations of the primary hydrocarbons and secondary organic species. In some cases, large discrepancies also exist for fast-reacting radicals such as OH and HO2.
Resource Allocation For Device-To-Device Communication In Millimeter Wave Underlay Network

: High expectations are placed on the Device-to-Device (D2D) communication operating in the millimeter spectrum band to improve the capacity of future 5G network. However, D2D communication underlaying cellular network if not properly designed introduces interference in the system. Therefore, an efficient resource sharing scheme is desirable to provide a proper interference management system. In this paper, resource allocation in D2D communication in millimeter wave (mmWave) spectrum to maximize the throughput while meeting the minimum Quality of Service (QoS) requirements of the users, is investigated. A resource sharing algorithm which allocates power to a single DUE-CUE pair using the geometric programming method and then performs allocation of resource blocks (RBs) to multiple DUEs using the Hungarian Algorithm, is proposed. The efficiency of the resource allocation scheme it tested through simulation using the Close-In (CI) path loss model. The integration of mmWave technology and D2D communications is found to averagely increase the throughput of the system by 64.8 %.