Miracle-dz/UniFAR-FTUs huggingface dataset:
Besnoitia tarandi in Canadian woodland caribou – Isolation, characterization and suitability for serological tests

In the present study, we report the first in vitro isolation of Besnoitia tarandi from North America and the second of B. tarandi at all. The parasite was isolated directly from the skin of a Canadian woodland caribou from the migratory ecotype. The animal belonged to the Leaf River Herd, in Northern Quebec, Canada. The isolate was designated Bt-CA-Quebec1. Sequencing of the 3’-end of the 18S rRNA gene, the complete sequence of the ITS1 and the 5’-end of the 5.8S rRNA gene of Bt-CA-Quebec1 revealed only minor differences to rDNA gene fragments of B. besnoiti . In contrast, the patterns for the microsatellite loci Bt-20 and Bt-21 varied substantially from those reported for B. besnoiti and B. bennetti. Surprisingly, the typing results in the loci Bt-6 and Bt-7 differed between Bt-CA-Quebec1 and results obtained for skin samples from caribou of the Canadian regions of Nunavut and the Northwest Territories re- ported by other investigators. This indicates that differences might exist among B. tarandi in caribou from different regions in Canada. Mice (γ-interferon knockout) intraperitoneally inoculated with 1.2 × 10 6 or 1.5 × 10 6 bradyzoites mechanically released from skin tissue cysts fell ill 8, 9 or 18 days post inoculation. GKO mice inoculated with 3.0 × 10 4 tachyzoites isolated from the peritoneal cavity of a bradyzoites-inoculated mouse became ill earlier, i.e. 5 days post inoculation. Lung was the predilection site in all mice. Bt-CA-Quebec1 tachyzoites rapidly grew in MARC-145cells and were used for antigen production. Comparative Western blot analyses revealed only a few differences between B. tarandi Bt-CA-Quebec1 and B. besnoiti Evora antigen when probed with sera collected from chronically infected caribou. Due to its fast growth in vitro , the Bt-CA-Quebec1 isolate may represent an interesting antigen source to establish B. tarandi -specific serological tools and to study the biology of this parasite species further.
TELKOMNIKA Telecommunication Computing Electronics and Control

Received Mar 03, 2022 Revised Jul 10, 2022 Accepted Jul 18, 2022 A wideband deltoid leaf fractal antenna is proposed for 5.8 GHz commonly used in industrial scientific and medical (ISM) and wireless local area networks (WLAN) applications. A microstrip patch antennas is designed with leaf shape radiating element. Using a leaf shape, it is possible to increase the perimeter of a design and thus reduce the overall dimensions of the antenna. A circular ring slot is made on the leaf shaped radiator, in a way that a circular disc is loaded at centre. Triangular fractal slots are made inside the circular disc to make it miniaturized. A partial ground is maintained with slot at centre. The antenna is fed by micro-strip feed. The locality and measurements of the fractal slots are varied to make the antenna radiate at 5.8 GHz with wider bandwidth (BW) of (2.26 GHz). The complete size of the antenna is 40 mm × 40 mm × 1.6 mm. The step-by-step implementation of the antenna and the effects of its dimensions are compared and presented using the reflection coefficient curve. The measured reflections coefficient |S11|<-10 dB maintained the operational band from (5.36 GHz − 7.62 GHz), with gain 4.2 dBi. The proposed antenna is planned and simulated using high frequency structure simulator (HFSS). The simulated and measured comparison showed good agreement, the designed antenna is suitable for 5.8 GHz WLAN applications with wider bandwidth requirements.
Fast and Robust Numerical Solutions to Minimal Problems for Cameras with Radial Distortion

A number of minimal problems of structure from motion for cameras with r adial distortion have recently been studied and solved in some cases. These problems are known to be numerically very challenging an d in several cases there were no practical algorithm yielding solutions in floating point arithmetic. We make some crucial observations concernin g the floating point implementation of Gr öbner basis computations and use these new insights to formulate fast and stable algorithms for two min imal problems with radial distortion previously solved in exact rational arithmetic only: (i) simultaneous estimation of essential matrix and a c ommon radial distortion parameter for two partially calibrated views and six image point correspondences and (ii) estimation of fundam ent l matrix and two different radial distortion parameters for two uncalibrated views and nine image point correspondences. We demons trate on simulated and real experiments that these two problems can be efficiently solved in floating point arithmetic. For comparison we have also in vented a new non-minimal algorithm for estimating fundamental matrix and two different radial distortion parameters for two uncalibrated vi ws and twelve image point correspondences based on a generalized eigenvalue problem.
Federal Reserve Bank of New York Staff Reports Exchange Rate Pass-Through to Import Prices in the Euro Area

This paper presents an empirical analysis of transmission rates from exchange rate movements to import prices, across countries and product categories, in the euro area over the last fifteen years. Our results show that the transmission of exchange rate changes to import prices in the short run is high, although incomplete, and that it differs across industries and countries; in the long run, exchange rate pass-through is higher and close to 1. We do not find compelling evidence that the introduction of the euro caused a structural change in exchange rate pass-through. Although some estimated point elasticities have declined, structural breaks in exchange rate pass-through into import prices are evident only in a limited sample of manufacturing industries. And since the euro was introduced, industries producing differentiated goods have been more likely to experience reduced rates of exchange rate pass-through to import prices. Exchange rate changes continue to lead to large changes in import prices across euro-area countries.
Genomic diversity and antimicrobial resistance among non-typhoidal Salmonella associated with human disease in The Gambia

Non-typhoidal Salmonella associated with multidrug resistance cause invasive disease in sub-Saharan Africa. Specific lineages of serovars Typhimurium and Enteritidis have been implicated. Here we characterized the genomic diversity of 100 clinical non-typhoidal Salmonella collected from 93 patients in 2001 from the eastern, and in 2006–2018 from the western regions of The Gambia respectively. A total of 93 isolates (64 invasive, 23 gastroenteritis and six other sites) representing a single infection episode were phenotypically tested for antimicrobial susceptibility using the Kirby–Bauer disc diffusion technique. Whole genome sequencing of 100 isolates was performed using Illumina, and the reads were assembled and analysed using SPAdes. The Salmonella in Silico Typing Resource (SISTR) was used for serotyping. SNP differences among the 93 isolates were determined using Roary, and phylogenetic analysis was performed in the context of 495 African strains from the European Nucleotide Archive. Salmonella serovars Typhimurium (26/64; 30.6 %) and Enteritidis (13/64; 20.3 %) were associated with invasive disease, whilst other serovars were mainly responsible for gastroenteritis (17/23; 73.9 %). The presence of three major serovar Enteritidis clades was confirmed, including the invasive West African clade, which made up more than half (11/16; 68.8 %) of the genomes. Multidrug resistance was confined among the serovar Enteritidis West African clade. The presence of this epidemic virulent clade has potential for spread of resistance and thus important implications for systematic patient management. Surveillance and epidemiological investigations to inform control are warranted.
National Centre of Competence in Research Financial Valuation and Risk Management Working Paper No . 730 Modeling Exchange Rates with Incomplete Information

Recent research has shown that relaxing the assumptions of complete information and common knowledge in exchange rate models can shed light on a wide range of important exchange rate puzzles. In this chapter, we review a number of models we have developed in previous work that relax the strong assumptions on information. We also review some related literature. JEL: F31, F37, F47
Title Feasibility of pupillary light reflex analysis to identify vitamin A deficiency in Japanese black cattle

A deficiency in Japanese black cattle Author(s) Han, Shuqing; Kondo, Naoshi; Ogawa, Yuichi; Fujiura, Tateshi; Tanigawa, Shinya; Shiigi, Tomoo; Fukushima, Moriyuki; Kohama, Namiko; Kim, Hyeon Tae; Morisako, Tatsuya Citation Computers and Electronics in Agriculture (2014), 108: 80-86 Issue Date 2014-10 URL http://hdl.handle. net/2433/191237 Right © 2014 Elsevier B.V. Type Journal Article Textversion author
Relationship Between Treatment Comorbidities and HIV Viral Suppression Among People Living With HIV in Johannesburg

HIV has globally infected over 37.9 million people, of which 28.2 million (73%) are on antiretroviral treatment, and 66% of those on treatment are virally suppressed. In South Africa, however, low rate of viral suppression (47%) among people living with HIV is a major health problem that has continued to fuel HIV prevalence. A cross-sectional quantitative research design was used to investigate the relationship between treatment comorbidities and viral suppression among HIV-infected adults aged 18 – 49 who were diabetic, had cancer, or tuberculosis in Johannesburg. HIV Care Continuum formed the theoretical framework for this research. An existing HIV-infected patient de-identifiable dataset ( n = 602) was used for the descriptive and logistic regression analysis. Results revealed a statistically significant association between tuberculosis treatment and viral suppression — adjusted OR = 1.534, (1.053, 2.234), and p = 0.02 — indicating that treatment of
Quality by Design Approach for Development of W/O Type Microemulsion-Based Transdermal Systems for Atenolol

The objective of the present investigation was to develop microemulsion-based transdermal systems of highly water soluble drug, Atenolol, by quality by design technique. Atenolol-loaded W/O microemulsions were optimized using D-optimal design with concentrations of oil, surfactants mixture, and water as independent variables, which was converted into microemulsion-based gel (MBG). The results of in vitro permeation of the optimized batch of Atenolol-loaded MBG revealed significant increase in permeability parameters as compared to its convention gel. All results suggested suitability of W/O type MEs as carriers for transdermal delivery of highly water soluble drug, Atenolol.
Named Entity Recognition for the Mongolian Language

This paper presents a pioneering work on building a Named Entity Recognition system for the Mongolian language, with an agglutinative morphology and a subject-object-verb word order. Our work explores the ﬁttest feature set from a wide range of features and a method that reﬁnes machine learning approach using gazetteers with approximate string matching, in an effort for robust handling of out-of-vocabulary words. As well as we tried to apply various existing machine learning methods and ﬁnd optimal ensemble of classiﬁers based on genetic algorithm. The classiﬁers uses different feature representations. The resulting system constitutes the ﬁrst-ever usable software package for Mongolian NER, while our experimental evaluation will also serve as a much-needed basis of comparison for further research.
Adverse events of exercise therapy in randomised controlled trials: A systematic review and meta-analysis. Running title Adverse events of exercise therapy

1 FysioDanmark, Maribo, Denmark 2 Centre for Evidence-Based Practice, Western Norway University of Applied Sciences, Bergen, Norway 3 Department of Public Health and Nursing, Norwegian University of Science and Technology, Trondheim, Norway 4 Clinical Services, St. Olavs Hospital, Trondheim University Hospital, Trondheim, Norway 5 Department of Sports Science and Clinical Biomechanics, University of Southern Denmark, Odense, Denmark 6 Department of Physiotherapy and Occupational Therapy, University of Copenhagen, Herlev and Gentofte Hospital, Copenhagen, Denmark
Middle Managers of the Leadership Classroom: Realizing the Middle Managers of the Leadership Classroom: Realizing the Developmental Capacity of Teaching Assistants Developmental Capacity of Teaching Assistants

We investigated psychological contract (PC) fulﬁllment using the three building blocks of the social exchange theory: content of the exchange, parties to the exchange, and the process of the exchange. Results from two studies demonstrate that PC fulﬁll-ment is related to different outcomes depending on fulﬁllment conceptualized in terms of promises as opposed to expectations. Expectations fulﬁllment is a stronger predictor of affective commitment, whereas promises fulﬁllment is a stronger predictor of turnover. Additionally, we tested hypotheses to examine the multisource effects of PC fulﬁllment. PC fulﬁllment by the supervisor and by the organization highlighted the relationship between PC fulﬁllment, leader–member exchange (LMX), and perceived organizational support (POS). Findings suggest that expectations fulﬁllment results in higher LMX when the source of fulﬁllment is perceived to be the manager and expectations fulﬁllment is related to higher POS when the organization is deemed as the source of PC fulﬁllment. The results were not signiﬁcant for promises fulﬁll-ment. Organization Management Journal , 10: 158–171, 2013. doi: 10.1080/15416518.2013. 831701
Imprints of early Universe galaxy formation on the 21-cm signal

During the ﬁrst billion years of our Universe, the ﬁrst light sources formed. These sources will impact the intergalactic medium, which can be probed using the 21-cm signal. This signal can be found in the radio frequency band and used to study the nature of these ﬁrst sources. We developed a new semi-analytical framework, A NAXAGORAS , which can accurately model the formation of ﬁrst galaxies considering all the necessary cooling and feedback processes. We show that presence of molecular hydrogen (H 2 ) is important for forming the ﬁrst light sources. We further couple A NAXAGORAS with our 21-cm signal modelling code, HM REIO and develop simulations of the 21-cm signal during the era of ﬁrst sources. We ﬁnd that the 21-cm signal can constrain the properties of these sources when observed at redshift z (cid:2) 9. During the epoch of reionization, the H 2 cooling becomes inefﬁcient and therefore loses information about the early formation processes.
DEPARTMENT OF ECONOMICS, MANAGEMENT AND STATISTICS UNIVERSITY OF MILAN – BICOCCA

Micro-founded dynamic stochastic general equilibrium (DSGE) models appear to be particularly suited for evaluating the consequences of alternative macroeconomic policies. Recently, increasing e¤orts have been undertaken by policymakers to use these models for forecasting, although this proved to be problematic due to estimation and identi cation issues. Hybrid DSGE models have become popular for dealing with some of model misspeci cations and the trade-o¤ between theoretical coherence and empirical t, thus allowing them to compete in terms of predictability with VAR models. However, DSGE and VAR models are still linear and they do not consider time-variation in parameters that could account for inherent nonlinearities and capture the adaptive underlying structure of the economy in a robust manner. This study conducts a comparative evaluation of the out-of-sample predictive performance of many di¤erent speci cations of DSGE models and various classes of VAR models, using datasets for the real GDP, the harmonized CPI and the nominal short-term interest rate series in the Euro area. Simple and hybrid DSGE models were implemented including DSGE-VAR and Factor Augmented DGSE, and tested against standard, Bayesian and Factor Augmented VARs. Moreover, a new state-space time-varying VAR model is presented. The total period spanned from 1970:1 to 2010:4 with an out-of-sample testing period of 2006:1-2010:4, which covers the global nancial crisis and the EU debt crisis. The results of this study can be useful in conducting monetary policy analysis and macro-forecasting in the Euro area. JEL Classi cation: C11, C15, C32 Keywords: Model validation, Forecasting, Factor Augmented DSGE, Time-varying parameter VAR, DGSE-VAR, Bayesian analysis This paper has been presented at the Federal Reserve Bank of Philadelphia, at Ca Foscari University of Venice, at the International Conference 2011 (Catholic University, Milan), at the 18th International Conference Computing in Economics and Finance (CEF 2012, Prague, Czech Republic) and at the CEPR-EABCN Conference at the Banque Central du Luxembourg (2012). We are grateful to Monica Billio, Satyajit Chatterjee, Diego Fresoli, Paolo Gelain, Matthias Kredler, Keith Kuester, Marcella Lucchetta, Leonard Nakamura, Giacomo Pansini, Gert Peersmann, Ra¤aele Rossi and Frank Schorfheide for valuable comments and discussions. The rst author was supported in part by the Marie Curie Intra European Fellowship (FP7-PEOPLE2009-IEF, N 251877) under the 7th European Community Framework Programme. The second author acknowledges nancial support from Dote ricercatori: FSE, Regione Lombardia. The usual disclaimers apply. yTel. : +39-055-4685-916; Fax: +39-055-4685-902; email: stelios.bekiros@eui.eu zTel. : +39-026-4483-046; Fax: +39-026-4483-085; email: alessia.paccagnini@unimib.it
Not dead yet: the spectre of nursing human resource shortages.

since the late 1990s, the nursing shortage has occupied the attention of the profession, policy makers and employers (CNA 2009; WHO 2006). In this Special Issue of the Canadian Journal of Nursing Leadership, we have an opportunity to revisit the problem of nursing human resources from the standpoint of labour mobility. I say “revisit” because the problem has been sleeping in Canada, as many decision-makers and policy makers seem to believe that we have addressed this by increasing the number of nursing seats in undergraduate nursing programs.
Journal of Computer Languages

This work aims at contributing with a structured parallel programming abstraction for Rust in order to provide ready-to-use parallel patterns that abstract low-level and architecture-dependent details from application programmers. We focus on stream processing applications running on shared-memory multi-core architectures (i.e, video processing, compression, and others). Therefore, we provide a new high-level and efficient parallel programming abstraction for expressing stream parallelism, named Rust-SSP. We also created a new stream benchmark suite for Rust that represents real-world scenarios and has different application characteristics and workloads. Our benchmark suite is an initiative to assess existing parallelism abstraction for this domain, as parallel implementations using these abstractions were provided. The results revealed that Rust-SSP achieved up to 41.1% better performance than other solutions. In terms of programmability, the results revealed that Rust-SSP requires the smallest number of extra lines of code to enable stream parallelism.
Digital Elevation Model of Spit Using Dinsar of Radarsat-1 Fine Mode Data

This work presents a new approach for 3-D object simulation using Difierential synthetic aperture interferometry (DInSAR). In doing so, new approach of using fuzzy B-spline algorithm is implemented with phase unwrapping technique. Consequently, fuzzy B-spline is used to eliminate the phase decorrelation impact from the interferograms. The study shows the performance of DInSAR method using fuzzy B-spline is better than DInSAR technique which is validated by a lower range of error (0:02 § 0:21m) with 90% confldence intervals. In conclusion, integration of fuzzy B-spline with phase unwrapping produce accurate 3-D coastal geomorphology reconstruction.
The war on error: psychology and aviation maintenance

[Conclusion]: [Looks at research that is best captured by the term 'Human Factors' - a branch of psychology that draws upon many other fields of psychology for its theoretical and methodological foundations. As stated in a popular introductory text to this field (Wickens, Lee, Liu, & Becker, 2004), the goals of human factors are to: reduce error, increase safety, increase productivity, and increase comfort. This particular research concentrates primarily on the area of maintenance error in the aviation industry. ] The safety literature tends to be dominated by discussions of error taxonomies and descriptive models of accident causation, such as the Reason model. I see these contributions as valuable but I also believe that they must be supported by empirical research. Structural equation modelling is a technique that can be used to test assumptions embedded in popular descriptions of accident causation. Through these various studies, we have developed, tested, and cross-validated models that explain how errors can occur in safety-conscious industries. We have also shown how they are linked with violations. In ongoing research, we are seeking to extend the model to include incident reporting, another key psychological variable in the quest to achieve safer and more productive working environments. [In conclusion], one of the lessons we have learned is that human error cannot be eliminated but it can be reduced if we take the trouble to look beyond its immediate causes and study the complex set of circumstances that lies behind any accident or incident.
A genome-wide association study of deviated nasal septum using UK Biobank cohort

Background Deviated nasal septum (DNS) is a common otolaryngology disease. The genetic mechanism underlying DNS remains largely unknown. Methods Totally, 2, 978 DNS patients and 2,978 randomly selected controls from the UK biobank were used in this study. Genotyping was done using the Affymetrix UK BiLEVE Axiom or UK Biobank Axiom array. Genome-wide association study (GWAS) was performed by PLINK 2.0, using age, sex, population structure PC1, PC2 and PC3 as covariates. eQTLs analysis and gene set enrichment analysis (GSEA) were also performed to explore the functional relevance of identified loci with DNS. Results GWAS identified multiple candidate genetic loci for DNS, such as rs75651247 located in DLGAP1 (β=-5.3398, P=9.31×10-8), rs141366706 located in CCND3 (β=-4.7036, P=2.56×10-6), rs76606504 located in FAF1 (β=-4.5013, P=6.76×10-6), and rs142537880 located in SVIL (β= 4.4336, P=9.27×10-6). GSEA detected multiple DNS associated gene sets or pathways, such as KEGG_CALCIUM_SIGNALING_PATHWAY (FDR=3.35×10-3, P=5×10-5) and DAVICIONI_TARGETS_OF_PAX_FOXO1_FUSIONS_UP (FDR=1.60×10-3, P=5×10-5). Conclusions Our study reported multiple candidate genes and gene sets for DNS, providing novel clues for understanding the genetic mechanism of DNS.
Leader’s Information Processing Preferences and Leadership Effectiveness: The Moderating Effect of Environmental Uncertainty

Drawing on trait activation theory, the present study empirically examines the moderating role of environmental uncertainty plays in linking leader’s information processing preferences (thinking-feeling, TF) with different aspects of leadership effectiveness (task performance and contextual performance). Using a sample of 236 leaders in China, we found that (1) leader’s information processing preferences (TF) was positively related to both leader's task performance and contextual performance, that is, F leaders have higher task performance as well as contextual performance than T leaders; (2) environmental uncertainty moderated the relation between TF preference and task performance, that is, above relation was positive and stronger when environmental uncertainty was low rather than high; (3) environmental uncertainty moderated the relation between TF preference and contextual performance, that is, above relation was positive and stronger when environmental uncertainty was high rather than low. Theoretical contributions, practical implications and future directions were discussed.