Miracle-dz/UniFAR-FTUs huggingface dataset:
ACUTE VASOACTIVE EFFECTS OF FATTY ACIDS OXIDATION INHIBITORS ON ISOLATED VASCULATURE

This study aimed to investigate whether systemic administration of the HMG-CoA reductase inhibitor atrovastatin to healthy male mice could lower intraocular pressure while increasing retinal blood flow. Adult healthy males mice were given atrovastatin orally or intraocularly. Atrovastatin, on its own, does not appear to cause dilation of retinal microvessels. The effects of atorvastatin on retinal arterioles were investigated in order to better understand how it works. To conduct an in vitro study, adult male mice retinal arterioles were isolated, cannulated, and pressurized without flow. Adult male retinal arterioles were isolated, cannulated, and pressurized without flow for in vitro study.Atrovastatin dose-dependently caused dilation of the retinal arterioles in this study (1 nM to 10 mM). The endothelium removal significantly reduced the amount of vasodilation. L-NAME (NG-nitro-L-arginine methyl ester) was found to inhibit vasodilation, and adding L-NAME to the cyclooxygenase inhibitor in combination increased vasodilation in the laboratory. Sulphonamide had no effect on the dilation that was caused by the cytochrome P450 epoxygenase inhibitor sulphonamide, as was the case with sulphonamide. Metabolite of HMG-CoA reductase caused an inhibition of vasodilation in vessels that had been incubated with it. This is why atrovastatin causes increased production of NO in the retina, resulting in increased dilation of retinal arterioles to be endotheliumdependent and NO-mediated.It has been found thatatrovastatin induces vasodilation in endothelial cells by suppressing the mevalonate-Rho kinase signaling pathway. It is possible that a better understanding of statins' effects on the retinal vasculature could lead to new treatments for retinal vascular disease.
Investigation on railway investment-induced neighborhood change and local spatial spillover effects in Nagoya, Japan

Previous studies have proven the significant causal relationship between railway investment and gentrification in some cities. However, most of them have focused on the gentry and less on the effect on other social classes. To observe how railway investment affects neighborhood change for different population types, this study investigated the investment effects of two urban railway lines separately on the neighborhood change of the gentry, older population, and students in Nagoya, Japan. These two railway lines consisting of a subway and an elevated railway opened in the same year and were located in different areas of the city. Moreover, the spatial autocorrelation in panel data was considered to investigate possible local spillover effects. Finally, we observed that the railway investments in highly urbanized areas were more likely to induce gentrification. In addition, railway investment has some significant treatment effects on students compared to the older population. 716 JOURNAL OF TRANSPORT AND LAND USE 14.1 dents are also investigated. From the health perspective, Japan has encouraged cycling since 1961, and even enacted legislation to build four types of bicycle lanes. As a result, the multimode bicycle-railway daily trips are very common in Japan. Hence, in this paper, authors also investigate whether the railway investments have spillover effects on the neighborhoods which are not close to railway stations but can be easily covered using a bike. In this paper, neighborhood change induced by two regional railway transit lines (Meijo line and Aonami line) in Nagoya city are investigated. Both lines opened in October 2004, but they are located in different areas in the city and undertake different transportation tasks. First, the theoretical background of existing methodologies and the modelling approach are discussed in a comprehensible way, then authors explain the data source. Based on the geographic influence scale in the preliminary study, the standard DID panel data model is implemented to investigate neighborhood change for each lines. Thereafter, authors perform the Lagrange multiplier (LM) test and incorporate spatial DID model with spatial error components to capture the spatial autocorrelation in panel data. Then the model estimation results and findings are presented. Finally, authors discuss prospects for future work.
Leading Millennial Employees Through Ethical Leadership

Managers struggle with how to motivate the Millennial generation employee. Research that explores which leadership styles are effective with Millennial generation employees is limited. The purpose of this study was to explore what leadership styles are effective with Millennial employees, which led to a key research question: To what extent does the ethical leadership style facilitate employee motivation for the Millennial generation? The theoretical framework was based on the social learning. This quantitative study used a survey administered online to collect data using the Ethical Leadership at Work Questionnaire. The participant pool consisted of randomly selected Millennial generation employees (N = 158) who worked in an office setting. The Mann-Whitney U test was used to test for stochasticity. The Kendall’s coefficients of concordance and Spearman’s correlation were conducted to perform the analysis. The results of this study indicated that the ethical leadership style effectively motivates Millennial employees. This study may contribute to a positive change in leadership practices. Employee job satisfaction may increase as these leadership behaviours are adopted. This in turn may have a positive social impact on the individuals, as well as in the surrounding communities of the individuals who work for leaders who practice the ethical leadership style. KEY WORD: Ethical Leadership, Social Learning, Millennial Generation --------------------------------------------------------------------------------------------------------------------------------------Date of Submission: 26-12-2018 Date of acceptance: 11-01-2019 -------------------------------------------------------------------------------------------------------------------------------------
YOLO with embedded DenseNet Approach to detect Human Interaction (Computer Vision)

The existing computer vision AI model could classify numbers of human actions and human interactions. However, due to a large number of different types of human interaction, it’s difficult to use one model to classify all the human interaction at this point. Instead of using one model to identify all the human interaction, we use two trained AI models to predict if there is human interaction in a video. Yolov3 has been trained to predict human objects and it was used to find the target frame and on top of Yolov3 we use another trained CNN model – DenseNet to further predict if there is human interaction in the video. This method helps to improve the overall accuracy and provides flexibility of changing or upgrading embedded CNN models to fulfill the different vision detection applications
Fault diagnosis of T-type three-level inverter based on bridge voltages

Multilevel inverters have been widely used in various occasions due to their advantages such as low harmonic content of the output waveform.However, becausemultilevel inverters use a large number of devices, the possibility of circuit failure is also higher than that of traditional inverters. A T-type three-level inverter is taken as the research object, and a diagnostic study is performed on the open-circuit fault of insulated gate bipolar transistor (IGBT) devices in the inverter. Firstly, the change of the current path in the inverter when an open-circuit fault of the device occurred, and the effect on the circuit switching states and the bridge voltages were analyzed. Then comprehensively considered the bridge voltages, and proposed a fault diagnosis method for a T-type three-level inverter based on specific fault diagnosis signals. Finally, the simulation verification was performed. The simulation results prove that the proposed method can accurately locate the open-circuit fault of the inverter device, and has the advantage of being easy to implement.
Electron Transport and Recombination in Photoanode of Electrospun TiO2 Nanotubes for Dye-Sensitized Solar Cells

The technique of coaxial electrospinning has been adopted to prepare the TiO2 nanotubes with average inner diameter of ∼275 nm and wall thickness of ∼115 nm. The electrospun TiO2 nanotubes possess the anatase type of crystalline structure, well-defined tubular morphology, and large aspect ratio. The dye-sensitized solar cell (DSSC) based on the TiO2 nanotubes alone has an efficiency of 3.33% with open-circuit voltage (Voc) of 800 mV, short-circuit current (Jsc) of 6.01 mA cm–2, and fill factor (FF) of 68.5%. Intriguingly, the addition of 20 wt % TiO2 nanoparticles in the TiO2 nanotubes improves the DSSC efficiency significantly. The charge transport and recombination in the fabricated DSSCs are characterized by the dark current, photovoltage as a function of light intensity, and transient photovoltage and photocurrent measurements. The results indicate that electrospun TiO2 nanotubes have large diffusion coefficient and slow recombination compared to the mesoporous film of TiO2 nanoparticles. The enhanced.
Nanoparticle incorporation in plasma-electrolytic oxidation

One remaining problem of thicker PEO based topcoats on light metal substrates is the enhanced porosity with increasing layer thickness. While modern deposition techniques such as pulsed anodisation counteract this phenomenon, a simple current signal based approach cannot completely eliminate this problem. In the process described in this paper the pulse anodised PEO layers are modified by the incorporation of functional nanoparticles and the effects of such embedded nanoparticles on the resulting microstructure of the layer are studied. The examination of the layer properties was performed using scanning electron microscopy, electrochemical techniques and X-ray diffraction methods. The dependency of corrosion resistance on the presence of nanoparticles in the layer as well as the alloy composition of the substrate and the applied current signal is shown.
Interactions within the Holobiont: On the Holobiont’s Interactions of Its Microorganisms

I address the question of how we should understand the holobiont and offer to look at it from the perspective of interactions. The debate about the holobiont centers on two issues: where to place its boundaries and what are the criteria for distinguishing inside from outside. By shifting the focus from degrees of cohesion of the host-symbiont interactions to the heterogeneity of interactions, I suggest a different perspective on interactions and their role in shaping the interacting agent (e.g., host-organism/microorganism/holobiont). I focus on the notion of mutuality of interactions by thinking about the holobiont through microbial interactions, using the case study of quorum sensing between bacterial cells. I conceptualize interactions as constitutive, placed on a scale between constitutive and contextual of each interacting agent. Constitutive interactions in this view are not interactions between individuals composing a third individual (i.e., symbionts within a host organism). Instead, the interactions are constitutive of each of the interacting organisms in interdependence relations. Furthermore, I argue that this interdependence involves the environment as an active participant which affects the nature of the interactions through environmental modifications.
Rheo-Raman: A Promising Technique for In Situ Monitoring of Polymerization Reactions in Solution

The use of a laboratory-made rheo-Raman device for continuous in situ monitoring of free-radical polymerization of acrylic acid in aqueous solution is reported for the first time. Combining a mixer-type rheometer with a quartz outer cylinder to a Raman spectrometer, this original experimental device has allowed us to overcome three current challenges of polymerization reaction monitoring. First, monomer conversion, polymer formation, and viscosity of reaction medium were continuously monitored with well-defined conditions (composition, temperature, and flow), using Couette analogy. Second, direct correlation between macroscopic viscosity and medium composition was established (accounting for the continuous variation of molar mass distribution). Third, using a mixer-type rheometer provided scalable results, in terms of stirring conditions.
Plasmonic nanoparticles with tailored attinebility for direct oligonucleotide sensing -Optimization & Application-

Single-cell oligonucleotide quantification holds great promise to understand diversity among a homogeneous cell population, but the methodology to perform such assays in these samples in a reproducible, quantitative and parallel fashion remains a challenge. Amongst the various oligonucleotides (RNA/DNA) being studied, micro-RNA (miRNA) detection is of great significance. The miRNAs are short RNA sequences, ~18-24 nucleotides long, which are important in regulating the expression of other genes involved in physiological and disease processes. Due to the short length of miRNA, it is challenging to detect them by conventional RNA detection methods, as most existing methods require longer receptor sequences for efficient capturing. Traditional oligonucleotide quantification techniques such as microarrays, Reverse Transcription-quantitative Polymerase Chain Reaction (RT-qPCR) and Northern blotting require purified RNA extracts from complex biological fluids such as cell lysate to overcome non-specific binding of proteins and other cell debris. The cell debris interferes with the receptor molecules on the sensor surface, making it unavailable for miRNA target to bind. Although RT-qPCR remains the gold standard due to its high specificity and sensitivity for miRNA quantification, it still involves the reverse transcription of miRNA to complementary DNA (cDNA), which leads to several false copies. An ideal miRNA quantification assay must address several key factors. First, these assays should enable the direct measurement of miRNAs without reverse
Istituto di Scienze e Tecnologie Cognitive ( ISTC-CNR ) Via Nomentana 56 , Roma , 00161 Italy

The Web allows fast and inexpensive construction of general purpose corpora, i.e., corpora that are not meant to represent a specific sublanguage, but a language as a whole, and thus should be unbiased with respect to domains and genres. In this paper, we present an automated, quantitative, knowledge-poor method to evaluate the randomness (with respect to a number of non-random partitions) of a Web corpus. The method is based on the comparison of the word frequency distributions of the target corpus to word frequency distributions from corpora built in deliberately biased ways. We first show that the measure of randomness we devised gives the expected results when tested on random samples from the whole British National Corpus and from biased subsets of BNC documents. We then apply the method to the task of building a corpus via queries to the Google search engine. We obtain very encouraging results, indicating that our approach can be used, reliably, to distinguish between biased and unbiased document sets. More specifically, the results indicate that medium frequency query terms might lead to more random results (and thus to a less biased corpus) than either high frequency terms or terms selected from the whole frequency spectrum.
Forecasting Thailand inbound tourist flow association for tourism demand

The purpose of this paper is to study the tourism demand of Thailand from six major source countries (CN, JP, KO, MAS, SG and LA) in two regions of Asia (East Asia and Southeast Asia). The data is from 1997q1 to 2020q1, which can also provide some advice for the recovery of Thailand tourism post COVID-19. Compared with previous studies, we consider the dependence of tourist flow in the same region. Precisely, we estimated the impact of tourism flows between pairwise countries in each region. This also provides a complement to the subsequent research on the structure of tourism dependence for tourism demand of Thailand. The Copula-based approaches are increasingly being used for tourism demand, we apply the copula-ARDL (ECM) framework to forecast tourist arrivals from two regions. Using the characteristics of correlation matrix in the trivariate Gaussian copula model, we have innovatively performed unconstrained parametric optimization of these two models to ensure the accuracy of the forecasting.
Pre-training and multi-task training for federated keyword extraction

The generalization ability of supervised model is relatively weak in keyword extraction technology. In order to effectively improve the robustness and accuracy of the model, the key to overcome this problem is collect more data for training process. However, the text as an privacy information, it is harder and harder to collect. To solve this problem, we apply federal learning to use user privacy data locally to improve the keyword extraction performance. In order to integrate the unlabeled user utterances to the semantic parsing model, we proposed a Pre-training and multi-task based federated keyword extraction model. The user models learn local information via unsupervised setting and the core model learns the supervised setting.
Energy intensity gap between enterprises and governments: A global perspective

Information asymmetry on energy efficiency target between enterprises and governments is a major controversy about sustainability. Enterprises desire to pursue the maximum profits in the market while governments confront with incomplete information on energy intensity potential and policy implementation. To investigate the influence of information gap between them, this study uses two-tier stochastic frontier (TSF) model with scaling property on the panel data in 56 contracting countries in Kyoto Protocol from 1995 to 2014 on energy intensity from energy, economic and technological perspective. The results present that on average about 70% of the unexplained variations in energy intensity accounts for the influence of energy intensity gap on energy savings potential between enterprises and governments. And the actual energy intensity is upper biased by average 7.03% due to the information asymmetry although the net impacts differ slightly across developing and developed countries and over time. Enterprises have stronger influence on the energy intensity during sample period. We recommend developing countries’ governments to have a strong renewable energy governance framework to support urbanization for economic development is their backbone for long period.
Application of one-factor copula with Durante generators to high-dimensional data: empirical study on stock market of China

This paper investigates the performance of one-Factor copula with Durante generators (FDG copula) in high-dimensional applications. We use data with 28, 102 and 227 dimensions respectively to compare the mean absolute error in three cases. The results show that estimation error deceases as dimension increases, which means the higher the dimension, the better this model performs. Empirically, we measure the dependence between industrial sectors in Chinese stock market by FDG copulas. It is found that Machinery and equipment sector has the largest dependence coefficients with other sectors. In addition, by comparing the results before and during the COVID-19 pandemic, we find that the epidemic strengthened the connection between the Computer and Media industry and other industries. FDG copulas, tractable and flexible, suits well for high-dimensional estimation. Potential of its application to other fields remains to be discovered.
Physiologische und therapeutische Bedeutung von Serotonin und des serotoninergen Systems

Zusammenfassung Serotonin (5-Hydroxytryptamin, 5-HT) bewirkt im Zentralnervensystem, im kardiovaskulären System und im Magen-Darm-Trakt zahlreiche Effekte. Dabei wird die Antwort auf Serotonin weitgehend von dem betreffenden 5-HT-Rezeptor bestimmt. Vor dem Hintergrund der aktuellen Forschungsergebnisse zur Anatomie und physiologischen Bedeutung des serotoninergen Systems und der Verteilung der verschiedenen 5-HT-Rezeptoren in den Organen und Geweben werden die etablierten und möglichen therapeutischen Anwendungen von 5-HT-Rezeptorliganden in der Behandlung unterschiedlicher Erkrankungen dargestellt. So könnte insbesondere in der Behandlung des Reizdarmsyndroms durch den Einsatz neuer selektiver 5-HT-Rezeptor-liganden mit motilitätsregulierender und antinozizeptiver Wirkung, wie z. B. den 5-HT4-Rezeptoragonisten Tegaserod, eine differenziertere Pharmakotherapie als bisher möglich werden.
Number 51

Radio on free space optics has become a momentum in research because of its cost effectiveness and efficiency in transferring data at a high rate that is comparable to that for optical fiber media. The transmission data rate is limited in fiber due to dispersion and nonlinearity, such effects do not prevail in FSO communication links. The data rate depends mainly on the switching speed of the optoelectronic devices. With the characteristics of free space being random in nature, the performance of RoFSO is primarily governed by atmospheric conditions. In this report, the performance of the orthogonal frequency division multiplexing (OFDM) signal in free space is evaluated and compared against its counterpart radio frequency (RF) wireless communication systems. Simulations have been done on the atmospheric conditions by means of modeling the scintillation effect using log-normal distribution. The performance of the proposed system under two different base-band modulations, namely OFDM–PSK (phase shift keying) and QAM (quadrature amplitude modulation) in weak turbulence conditions is studied. It is found that PSK performs better than QAM. Also the M-ary performance analysis shows that 3–5 dB improvement in the signal to noise ratio is obtained for
Workshop on Exploiting Semantic Annotations in Information Retrieval ( ESAIR 2009 )

Within most domains of discourse, there exists different terminology used by distinct sub-groups. Often the terms used can be, or have already been, organised into controlled vocabularies which can be encoded into skos, a W3C standard for representing vocabularies. This terminology can then be used to help users to search for and discover resources. This requires a search mechanism to go from a user-supplied string to a vocabulary concept. In this paper, we discuss the issues encountered in developing a web service for searching and exploring the concepts in skos encoded astronomical vocabularies. Our prototype service takes in a query and responds with the concepts which are the “best match”. It then supports the user in exploring the concepts’ formal definition and alternative forms, as well as their relationship to other concepts. When we add mappings between the concepts in different vocabularies (where available), these further enrich the explorations of vocabulary concepts.
Evaluation of antiinflammatory and antihyperalgesic activity of some novel monocyclic β-lactam compounds in rats

Synthesis and evaluation of some novel monocyclic beta-lactam compounds as anti-inflammatory and anti-hyperalgesic agents has been carried out in the present study. Such type of compounds has been reported in literature as human leukocyte elastase (HLE) inhibitors. The compounds were administered orally (15 mg/kg) to rats 30 min before injecting carageenan in the planter aponeurosis. The compounds showed a marked effect on paw edema and associated inflammatory pain. Compound 1 showed antiinflammatory effect even better than indomethacin (10 mg/kg) used as reference standard. These results suggest the need of carrying out further in vitro studies on the mechanism of action, which may be HLE inhibition.