Miracle-dz/UniFAR-FTUs huggingface dataset:
Application of metagenomic approaches in the comprehensive detection and characterization of trypanosomes, microbiome and blood meal sources in tsetse flies [an abstract of dissertation and a summary of dissertation review]

Title Application of metagenomic approaches in the comprehensive detection and characterization of trypanosomes, microbiome and blood meal sources in tsetse flies [an abstract of dissertation and a summary of dissertation review] Author(s) Gaithuma, Alex Samuel Kiarie Citation 北海道大学. 博士(獣医学) 甲第13721号 Issue Date 2019-09-25 Doc URL http://hdl.handle. net/2115/76127 Rights(URL) https://creativecommons.org/licenses/by/4.0/ Type theses (doctoral abstract and summary of review) Additional Information There are other files related to this item in HUSCAP. Check the above URL. File Information Alex_Samuel_Kiarie_GAITHUMA_abstract. pdf (論文内容の要旨)
Formula Optimization of Annona muricata Folium Ethanolic Extract of Anti Acne Gel Formulation using Factorial Design Method

Acne is a pile of oil glands in the skin that are actively being clogged by dirt and infection because of Propionibacterium acnes, Staphylococcus aureus, and Staphylococcus epidermidis. The treatment for acne can use herbal ingredients, one of which is Soursop (Annona muricata L.) leaves ethanolic extract. Annona muricata folium ethanolic extract is known to have alkaloid, flavonoid and polyphenol compounds which can inhibit the growth of P. acnes, S. epidermidis, and S. aureus. Suitable dosage forms for anti-acne preparations are gels because the gel contains much water so that it provides a cooling effect on the skin due to inflammation. The purpose of this study was to determine the impact of carbopol 940 and Propylene glycol on the physical characteristics of the gel preparation and determine the optimum formula of the gel preparation using factorial design software 22 so that the gel preparation was made in four formulas. The data obtained were then analyzed using Design-Expert� and ANOVA software with a confidence level of 95%, and the determination of the optimum formula based on the optimum superimposed contour plot area. The results of the study using a factorial design approach are known that Propylene glycol has an effect on increasing the spreadability and pH while carbopol 940 has a more significant impact on the increase in adhesion and viscosity, and the optimum area of ? the composition of carbopol 940 1.536% and propylene glycol 5% was obtained.
Least Squares Regression. Implicit Bias and Implicit Regularization

In this lecture we consider again the problem of estimating an unknown vector from noisy linear measurements (not necessarily in high-dimension; the argument we are going to presents is general), when we replace the sparsity assumption by the assumption that the unknown parameter w lies in the span of the data (as we are going to see below, this assumption makes the estimation problem well posed). This time, however, we take a different approach based on implicit regularization:
26 June 2006

There are as yet to our knowledge no systematic investigations comparing the effects of specific tourism company product and total destination product components on tourists’ experience. The current study addressed this particular issue, based upon a convenience sample of 867 tourists visiting Northern Norway in the summer of 2011. The study results indicated that the effect of the company product components was indeed much greater than that of the destination product on the tourists’ overall holiday experience. Further analysis revealed that three of the product components related to the tourism company (personnel, information, and product variety) and three of those related to the destination (transport to destination, accommodation, and restaurant/dining facilities) had a significant influence on the tourists’ overall holiday experience. Theoretical and practical implications of the study are also discussed. © 2013 International University College. All rights reserved
Rapid Model Comparison by Amortizing Across Models

Comparing the inferences of diverse candidate models is an essential part of model checking and escaping local optima. We introduce a novel variational inference method which can perform fast and reliable approximate inference across models of the same architecture. Our Any-Parameter Encoder (APE) modifies the encoder usually used in amortized inference to take in both the data and the model as input, allowing posterior inference across data and models to be performed in a single forward pass. In experiments comparing candidate topic models for synthetic data and product reviews, we show that our Any-Parameter Encoders yield posteriors comparable to more expensive methods in a fraction of the time.
CER-ETH – Center of Economic Research at ETH Zurich Sequential Aggregation of Verifiable Information

We introduce the notion of verifiable information into a model of sequential debate among experts who are motivated by career concerns. We show that self-censorship may hamper the efficiency of information aggregation, as experts withhold evidence contradicting the conventional wisdom. In this case, silence is telling and undermines the prevailing view over time if this view is incorrect. As a result, withholding arguments about the correct state of the world is only a temporary phenomenon, and the probability of the correct state of the world being revealed always converges to one as the group of experts becomes large. For small groups, a simple mechanism the principal can use to improve decisionmaking is to appoint a devil’s advocate.
Educational Resilience of Squatter Children in Kathmandu Metropolitan City

Squatters are the illegal tenants residing in public lands as immigrants due to livelihood collapse in their origins. They have been denying public resources and urban facilities because of their official identity crisis leading to vicious circle of poverty with impoverished livelihoods creating multifaceted adversities of learning for their children. In this context, this paper, based on cyclical mixed method research under transformative research paradigm, has explored the learning adversities faced by the squatter children of Kathmandu Metropolitan city, protective and promotive factors, and life-affirming learning outcomes. The exposure in unhygienic settlements with low health conditions, poverty with impoverished livelihoods, and illiteracy of parents, poor homely environment, and dysfunctional families were the key adversities encountered by squatter children. Further, cohesive and harmonious teachers and peers in schools, determination and dedicated support of parents in families, and social structures as social capitals were protective and promotive factors for their learning. The squatter children have developed optimistic sense of being prospective professionals, behavior towards self-reliance, non-discriminatory interaction among others, and interactive and exploratory learning habits as the life-affirming learning outcomes.
Deep Amortized Variational Inference for Multivariate Time Series Imputation with Latent Gaussian Process Models

Multivariate medical time series, consisting of multiple correlated univariate time series or channels, give rise to two distinct ways of imputing missing information: (1) by exploiting temporal correlations within each channel, and (2) by exploiting correlations across channels, for example by using lower-dimensional representations of the data. An ideal imputation model for medical time series should take both of these sources of information into account. Another desirable property of such models is to offer a probabilistic interpretation, allowing for uncertainty estimation. Unfortunately, current imputation approaches fall short with respect to at least one of these desiderata. While there are many time-tested statistical methods for multivariate time series analysis (e.g., Gaussian processes (Roberts et al., 2013)), these methods are generally not applicable when features are missing. On the other hand, classical methods for time series imputation often do not take the potentially complex interactions between the different channels into account (Little and Rubin, 2002; Pedersen et al., 2017). Finally, recent work has explored the use of non-linear dimensionality reduction using variational autoencoders for i.i. d. data points with missing values (Ainsworth et al., 2018; Ma et al., 2018; Nazabal et al., 2018) , but this work has not considered temporal data and strategies for sharing statistical strength across time. A more comprehensive analysis of existing approaches and their shortcomings is deferred to the appendix (Sec. A).
Design and characterization of a compact single-layer multibeam array antenna

A multibeam array antenna employing a Butler matrix is a promising solution for fifth generation (5G) base 4 stations. Due to inaccurate phase differences between output ports in the Butler matrix, the radiation characteristics 5 could show incorrect main beam directions. In addition, the literature has also reported the issue of high amplitude 6 imbalance in the Butler matrix. This paper presents a single-layer multibeam array antenna fed by an 8×8 Butler 7 matrix operating at 28 GHz for 5G base station applications—a more cost-effective solution for large-scale production. 8 The Butler matrix consists of twelve quadrature hybrids, sixteen crossovers and eight phase shifters. This circuit was 9 integrated with eight antenna elements at the output ports of the Butler matrix. The proposed multibeam array antenna 10 was fabricated using a low dielectric constant and a low loss tangent substrate. The dimension of the multibeam array 11 antenna was 88×106×0.254 mm . The Butler matrix achieved low insertion losses and low phase error with average 12 values of 2.5 dB and less than ±10◦ at 28 GHz, respectively. The measured return losses were less than −10 dB at 13 28 GHz. The measured radiation patterns were obtained and eight main beams were pointed at ±6◦ , ±18◦ , ±30◦ and 14 ±44◦ with measured gains between 9 dBi to 14 dBi. 15
Content-based Union and Complement Metrics for Dataset Search over RDF Knowledge Graphs

RDF Knowledge Graphs (or Datasets) contain valuable information that can be exploited for a variety of real-world tasks. However, due to the enormous size of the available RDF datasets, it is difficult to discover the most valuable datasets for a given task. For improving dataset Discoverability, Interlinking, and Reusability, there is a trend for Dataset Search systems. Such systems are mainly based on metadata and ignore the contents; however, in tasks related to data integration and enrichment, the contents of datasets have to be considered. This is important for data integration but also for data enrichment, for instance, quite often datasets’ owners want to enrich the content of their dataset, by selecting datasets that provide complementary information for their dataset. The above tasks require content-based union and complement metrics between any subset of datasets; however, there is a lack of such approaches. For making feasible the computation of such metrics at very large scale, we propose an approach relying on (a) a set of pre-constructed (and periodically refreshed) semantics-aware indexes, and (b) “lattice-based” incremental algorithms that exploit the posting lists of such indexes, as well as set theory properties, for enabling efficient responses at query time. Finally, we discuss the efficiency of the proposed methods by presenting comparative results, and we report measurements for 400 real RDF datasets (containing over 2 billion triples), by exploiting the proposed metrics.
A Robot Person Search Framework for Finding Dynamic Users in a Home Environment by Shayne

Socially assistive robots provide assistance to seniors through social interactions at home. These robots may need to first find the user before initiating an interaction. Most robot person search techniques in home environments do not consider dynamic user behaviours. This thesis presents a robot person search planner that considers evidence, which are objects at home that are associated with a user’s current location. By checking the state of an evidence during the search, the planner can narrow down the current user location and find the person more quickly by searching fewer regions. An online Partially Observable Markov Decision Process solver is used to generate an action sequence that the robot executes until the user is found. The planner outperformed techniques that do not consider such objects for both static and dynamic users. The search planner was integrated into a mobile robot and tested in a home environment with real users.
5 Thermal Anomaly and Strength of Atotsugawa Fault , Central Japan , Inferred from Fission-Track Thermochronology

Frictional slip induces temperature rise in a fault zone. Abundant frictional heat during an earthquake sometimes produces melt of rocks (i.e. pseudotachylyte; e.g., Sibson, 1975). The amount of heat production along faults provides the essential information to investigate frictional strength of the faults that characterizes the earthquake generation processes. Lachenbruch and Sass (1980) first estimated the coefficient of friction of the San Andreas Fault to be 0.1-0.2 from the measurement of surface heat flow along the fault. Kano et al. (2006) found a temperature rise of ~ 0.06 °C measured in a borehole drilled across the Chelungpu fault six years after the 1999 Chi-Chi, Taiwan earthquake associated with this fault. They found that very low coefficient of friction of 0.04-0.08 can explain the heat anomaly along the Chelungpu fault. The above observations along the natural faults have suggested a very low friction level compared with that of 0.6-0.8 evaluated in laboratory rock friction experiments (Byerlee, 1978). Fission-track (FT) thermochronology is an effective method to detect heat anomaly caused by past faulting (e.g., Scholz et al., 1979; Camacho et al., 2001; Murakami et al., 2002; Murakami and Tagami, 2004; Yamada et al., 2007a). In order to constrain the frictional properties of faults, d’Alessio et al. (2003) measured apatite FT ages and lengths for samples adjacent to and within the San Gabriel fault zone that is thought to be an abandoned major trace of the San Andreas Fault system active from 13 to 4 Ma. They found no evidence of a localized thermal anomaly in FT data even in samples within just 2 cm of the ultracataclasite, and concluded that either there has never been an earthquake with > 4 m of slip at this locality, or the average apparent coefficient of friction is < 0.4 based on the modelling of heat generation and transport. In this paper, we estimate the frictional strength of the Atotsugawa fault, central Japan, using the method similar to that used by d’Alessio et al. (2003). In the Atotsugawa fault, Yamada et al. (2009) performed FT thermochronologic analysis at an outcrop without visible pseudotachylyte layers, and revealed a thermal anomaly at a several cm thick gouge whose apatite age is significantly younger than those of other samples in the vicinity. Assuming that the thermal anomaly is cause by frictional heating during a single earthquake, the frictional coefficient and the ancient depth of gouge samples are evaluated by the thermal
Pavement Roughness Measurement Using Android Smartphones: Case Study of Missouri Roads and Airports

Although obtaining data regarding existing airport pavement condition is an essential task for pavement maintenance, pavement condition surveys can be costly and labor intensive. The objective of this study was to investigate the use of an Android smartphone application as a potential low cost and efficient tool to assess airport pavement condition. The smartphone application (app) records vehicle cab acceleration data, a timestamp, and GPS coordinates. The approximate pavement profile is then back-estimated from the acceleration data using an inverse state space model. The model considers the physics of the mass-spring-damper system of the vehicle sprung mass. The analyses were performed using a MATLAB script to calculate the IRI values.
Evidence from an Emerging Market

This paper uses microeconomic data from India to explore the e§ects of rapidly changing regulation on mortgage lending and mortgage risk. We Önd evidence that regulation has important e§ects on rates and defaults. We also Önd evidence suggestive of learning by the mortgage provider in a turbulent regulatory environment. JEL classiÖcation: G21, R21, R31.
Validation of Dust Devil-like Vortex Simulations

The Phoenix Mars mission has confirmed the existence of water ice and the occurrence of dust devils at the Phoenix landing site on Mars. It is believed that dust devil-like vortices would influence the Martian water vapour transport. This numerical study has focused on the ability of reproducing dust devil-like vortices using CFD in order to reveal more details of the Martian water cycle in future studies. Characteristic parameters, such as aspect ratio, swirl ratio, and Reynolds number were explored to validate the dust devil-like flows. Stereo particle image velocimetry was used to investigate the flow velocity field generated by the vortex generator. A numerical model was created based on the physical scale of vortex generator at the University of Alberta. This transient simulation was studied using a commercial software package, ANSYS/CFX 13.0. The Reynolds stress turbulence model (RSMSSG) was employed for producing a better vortex field numerically. The laboratory conditions in the experiments were applied to the model for validation of the numerical solutions. The results indicated this numerical model can reproduce the desired dust devil-like flows by comparing the characteristic parameters.
Radost Stanimirova and Paulo Arévalo and Robert K. Kaufmann and Victor Wegner Maus and Myroslava Lesiv and Petr Havlík and Mark A. Friedl Sensitivity of global pasturelands to climate variation

Stanimirova, Radost ORCID: https://orcid.org/0000-0001-9617-5830 and Arévalo, Paulo and Kaufmann, Robert K. and Wegner Maus, Victor ORCID: https://orcid.org/0000-0002-7385-4723 and Lesiv, Myroslava and Havlík, Petr and Friedl, Mark A. ORCID: https://orcid.org/0000-0001-68992948 (2019) Sensitivity of global pasturelands to climate variation. Earth’s Future. pp. 1-32. ISSN 2328-4277 This version is available at: https://epub.wu. ac.at/7303/ Available in ePubWU: November 2019 License: Creative Commons: Attribution-NonCommercial-NoDerivatives 4.0 International (CC BYNC-ND 4.0) ePubWU, the institutional repository of the WU Vienna University of Economics and Business, is provided by the University Library and the IT-Services. The aim is to enable open access to the scholarly output of the WU. This document is the version accepted for publication and — in case of peer review — incorporates referee comments. There are differences in punctuation or other grammatical changes which do not affect the meaning.
OR/17/033 Research-Earthwise

Scotland is characterised by low levels of earthquake activity. Historical observations of earthquake activity date back to the 16th century, and show that despite many accounts of earthquakes felt by people, damaging earthquakes are relatively rare. The largest recorded earthquake in Scotland had a magnitude of 5.2 ML and only two other earthquakes with a magnitude of 5.0 ML or greater have been observed in the last 400 years. As a result, the risk of damaging earthquakes is low.
Evaluation of Rutting Variations in FHWA Full-Scale Accelerated Pavement Testing

The Federal Highway Administration (FHWA) has been conducting full-scale pavement tests using two Accelerated Loading Facility (ALF) machines for over 18 years. Due to the expense of full-scale pavement testing, most pavements were tested without replication. Variation in performance in replicate tests becomes a major concern when aging takes place in the asphalt pavements. In order to increase our confidence in full-scale testing results, replicate tests were conducted during rutting experiments in a recently completed Superpave validation study (1993-2001). This paper summarizes the results of replicate tests, which were conducted on 12 pavement test sites. Statistical tests were first performed on the rutting results in the replicate pavements. Asphalt aging effect on the rutting was discussed. The variation components were identified and accuracy curves were developed for all test pavements. Finally, the rutting variations among the different pavement layers were also evaluated.
Wind Farm Control Methods - Yawing

The wake effect of yawing an upstream turbines is of interest in order to increase power production. In this study, the case of yawing is considered as asymmetric do to the tower and rotor rotation, and measurements have been performed in a wind tunnel. The rotational effects when yawing are obtained by investigating the difference between a disc and a rotor with the same drag and diameter. This is performed during a tower-symmetrical setup, and shows that the wake deflects approximately 1 radius for the disc and significantly less for the rotor at optimal tip speed ratio. The disc wake is similar to a jet shape in a crossflow and counter-rotating vortices are present, which is not the case for the rotor. Moreover, the differences between yawing in the different direction are investigated and show that for positive yaw-angles, the wake spreads more out and deflects more to the side and to the floor. Furthermore, for negative yaw-angles, the wake is located closer to downstream the rotor centre. These differences are slightly less present during shear flow conditions, in addition to a more sideways deflected wake. Keywords—Yaw, wind turbine, wake, wind tunnel, rotation, disc.
T cells and T cells to further stimulate vascular inflammation and monocyte adhesion in the atherosclerotic plaque (7,8). in dcs and intraperitoneal macrophages derived from diabetic mice, hyperglycemia increased reactive oxygen species (roS) production (5,9). Mitogen-activated protein kinase (MaPK)

dioscin has been shown to affect the regulation of metabolic diseases, including diabetes; however, the mechanism of action is still unclear. under high glucose (HG) conditions, the expression of scavenger receptors and the uptake of oxidized low-density lipoprotein (oxldl) are upregulated in dendritic cells (dcs), which are critical steps in atherogenesis and inflammation. In this study, the focus was on the impact of dioscin on the function of dcs. immature dcs were cultured with: 5.5 mM glucose medium (control group); 30 mM glucose medium (HG group); HG + 10 mM dioscin; HG + 20 mM dioscin; HG + 30 mM dioscin; and HG + 40 mM dioscin. For subsequent experiments, 30 mM dioscin was used as the experimental concentration. Dichlorodihydrofluorescein fluorescence was used to measure the intracellular production of reactive oxygen species (roS) in dcs. The expression levels of the scavenger receptors, including class a scavenger receptors (Sr-a), cd36 and lectin-like oxidized low-density lipoprotein receptor-1 (loX-1) were determined via quantitative Pcr. The protein expression of p38 mitogen-activated protein kinase (MaPK) was determined by western blotting. Furthermore, eliSa was used to detect the levels of interleukin (il)-6, il-10 and il-12. Finally, dcs were incubated with diOlistic (Dil)‐labeled oxLDL, and flow cytometry analysis was used to investigate the dil-oxldl-incorporated fraction. The incubation of dcs with dioscin inhibited the induction of roS production, in a dose-dependent manner, under HG conditions. The upregulation of Sr-a, cd36 and loX-1 genes was partially abolished by dioscin, which also partially reversed p38 MaPK protein upregulation. Furthermore, increased secretion of il-6 and il-12, and decreased secretion of il-10 in dcs, induced by HG, was also reversed by dioscin. To conclude, dioscin could attenuate the production of roS, inflammatory cytokine secretion and oxLDL uptake by DCs in HG conditions by preventing the expression of scavenger receptors and p38 MaPK, thus playing a positive role in preventing atherogenesis.