Miracle-dz/UniFAR-FTUs huggingface dataset:
Vaccination Against Heart Attack

1Department of Biomaterials and Healthcare, Fraunhofer Institute for Applied Polymer Research (IAP), Division of Life Science and Bioprocesses, Geiselbergstraße 69, 14476 Potsdam-Golm, Germany 2Department of Clinical Sciences and Colorado School of Public Health, Colorado State University, Fort Collins, CO 80523-1052, USA 3Editorial Office, The American Journal of Immunology, S-207, 244, 5th Avenue, New York, NY, 10001 USA and S-71, 1A, 400, King William St, Adelaide, SA 5000, Australia
Overcoming language barriers in health care services in the medical tourism context: Health care companies' perspective

The primary objective of this study was to understand the role of language in health care services. This study aimed at investigating 1) how language barriers affect health care encounters and how health care companies overcome language barriers in medical encounters and 2) the role of native language in health care services and when native language use is particularly important. The context of this study was medical tourism from Russia to Finland, and the secondary purpose of this study was also to comprehend the global phenomenon of medical tourism. The research problem was studied from Finnish health care companies’ perspective. This study was conducted as a qualitative multiple case study with four case companies: Coxa Hospital for Joint Replacement, Docrates, Hospital Neo and Orton. Case companies were selected among the participants of FinlandCare program. For the study, three different groups working in the Finnish medical tourism sector were interviewed: two industry experts, seven health care professionals and five directors/managers from the case companies. Altogether 13 semi-structured interviews were made for this study and transcriptions of the interviews formed the primary empirical data. Within-case analysis and cross-case analysis were used as data analysis methods in this study. The findings of this study indicate that language barriers are in many ways problematic in health care services and they may have various negative impacts on a patient. However, in order to be able to communicate and interact in health care encounters with Russian patients, the case companies demonstrated various interventions for overcoming language barriers in health care, ranging from having Russian-speaking personnel (language concordance) and using professional and non-professional interpreters to different creative solutions like written translations and internal grammar books. This study concludes – in line with previous studies mainly from patients’ perspective – that patient’s native language has an important role in health care services. Based on the findings of this study, native language use is particularly important in the beginning and end of the health care service process, as particularly in those phases patient and health care personnel must be able to communicate effectively. Moreover, language has also an important role in medical tourism and the findings of this study support the previous findings that service language can even affect patient’s choice of the service provider.
Multiple roles for the ESCRT machinery in maintaining plasma membrane homeostasis

The endosomal sorting complexes required for transport (ESCRT) execute evolutionary conserved membrane remodeling processes. Here we used budding yeast to explore how the ESCRT machinery contributes to plasma membrane (PM) homeostasis. In response to reduced membrane tension and inhibition of the target of rapamycin complex 2 (TORC2), ESCRT-III/Vps4 assemblies form at the PM and help to maintain membrane integrity. Conversely, the growth of ESCRT mutants strongly depends on TORC2-mediated homeostatic regulation of sphingolipid (SL) metabolism. This is caused by calcineurin phosphatase activity which causes Orm2 to accumulate at the endoplasmic reticulum (ER) in ESCRT mutants. Orm2 is a repressor of SL biosynthesis and its accumulation provokes increased membrane stress. This necessitates TORC2 signaling through its downstream kinase Ypk1 to control Orm2 protein levels and prevent a detrimental imbalance of SL metabolism. Our findings reveal new aspects of antagonistic calcineurin/TORC2 signaling for the regulation of SL biosynthesis and the maintenance of PM homeostasis, and suggest that the ESCRT machinery contributes directly and indirectly to these processes.
Water desalination using zigzag pillared graphene

The research for the energy stability of columnar graphene was carried out. It has been established that pillared graphene with zigzag carbon nanotubes and mixed chirality of carbon nanotubes (zigzag and armchair) are energy-stable. An obligatory criterion of sorbent is energy stability. Therefore, pillared graphene with chirality of zigzag carbon nanotubes and mixed chirality of carbon nanotubes (zigzag and armchair) can be used as an element base of nanofilters for water desalination.
Axon-dependent expression of YAP/TAZ mediates Schwann cell remyelination but not proliferation after nerve injury

YAP and TAZ are transcriptional regulators that powerfully stimulate cell proliferation, which drives developmental or tumorigenic tissue growth. Previously we showed that YAP/TAZ initiate and maintain Schwann cell (SC) differentiation, thereby forming and maintaining myelin sheath around peripheral axons (Grove et al., 2017). Here we show that YAP/TAZ are required for SCs to restore peripheral myelination after nerve injury. We find that YAP/TAZ dramatically disappear from denervated, proliferating SCs of adult mice after peripheral nerve injury. They reappear in SCs as axons regenerate. YAP/TAZ ablation does not impair SC proliferation or transdifferentiation into growth promoting repair SCs. SCs lacking YAP/TAZ, however, fail to upregulate myelin-associated genes and completely fail to remyelinate regenerated axons. We also show that both YAP and TAZ are required for optimal remyelination. These findings indicate that axons regulate transcriptional activity of YAP/TAZ in adult SCs and that YAP/TAZ are essential for functional regeneration of peripheral nerve.
A Whole-Genome Scan for Association with Invasion Success in the Fruit Fly Drosophila suzukii Using Contrasts of Allele Frequencies Corrected for Population Structure

Evidence is accumulating that evolutionary changes are not only common during biological invasions but may also contribute directly to invasion success. The genomic basis of such changes is still largely unexplored. Yet, understanding the genomic response to invasion may help to predict the conditions under which invasiveness can be enhanced or suppressed. Here we characterized the genome response of the spotted wing drosophila Drosophila suzukii during the worldwide invasion of this pest insect species, by conducting a genome-wide association study to identify genes involved in adaptive processes during invasion. Genomic data from 22 population samples were analyzed to detect genetic variants associated with the status (invasive versus native) of the sampled populations based on a newly developed statistic, we called C2, that contrasts allele frequencies corrected for population structure. This new statistical framework has been implemented in an upgraded version of the program BayPass. We identified a relatively small set of single nucleotide polymorphisms (SNPs) that show a highly significant association with the invasive status of populations. In particular, two genes RhoGEF64C and cpo, the latter contributing to natural variation in several life-history traits (including diapause) in Drosophila melanogaster, contained SNPs significantly associated with the invasive status in the two separate main invasion routes of D. suzukii. Our methodological approaches can be applied to any other invasive species, and more generally to any evolutionary model for species characterized by non-equilibrium demographic conditions for which binary covariables of interest can be defined at the population level.
The Economic Impact of Corporate Social Responsibility

This study aims to examine the relationship between socially responsible investment and future company performance. Socially responsible investment is carried out with various objectives, depending on the actors and their preferences. Good management theory explains that social investment can build trust, which will ultimately benefit the company. Some researchers have previously investigated the impact of CSR investments on companies, but the results are still inconclusive. Evaluating social investment needs to pay attention to the time lag between the investment and the economic benefits generated. The samples of this study were all companies listed on the Indonesia stock exchange in 2016-2017, except companies from the service, finance, and banking industries. CSR investment was measured by the costs incurred for social responsibility activities. The method used to estimate the parameters of the research model is the lag regression approach. The results showed a significant relationship between CSR investment and the company's future financial performance.
Quantifying Model Risk in Option Pricing and Value-at-Risk Models

Financial practitioners use models in order to price, hedge and measure risk. These models are reliant on assumptions and are prone to ”model risk”. Increased innovation in complex financial products has lead to increased risk exposure and has spurred research into understanding model risk and its underlying factors. This dissertation quantifies model risk inherent in Value-at-Risk (VaR) on a variety of portfolios comprised of European options written on the ALSI futures index across various maturities. The European options under consideration will be modelled using the Black-Scholes, Heston and Variance-Gamma models.
Thermophotovoltaic applications in waste heat recovery systems: example of GaSb cell

In this study, it is aimed at evaluating real data in high temperature GaSb cell thermophotovoltaic (TPV) systems. The TPV systems are considered as an alternative energy source in terms of efficient use of waste heat, cost and efficiency. The TPV system can be defined as a system that converts waste heat energy emitted from heat sources into electrical energy at high temperature. In this context, efficiency and parameters of TPV GaSb cells have been determined in laboratory conditions. The conversion of the high temperature applied to the cell to electrical energy has been investigated by selecting the GaSb photovoltaic cell as the cell type. According to the analysis have been done so far, TPV high-temperature real graphics have been obtained using GaSb cell. The temperature parameters used are, namely, cell temperature and source temperature. With these graphs, energy efficiency, fill factor, effect of open-circuit voltage and short-circuit current values have been determined. While the efficiency value of the GaSb TPV cell systems was calculated, the radiation source temperature values have been taken in increments of 300 K between 1300 and 3100 K. In this analysis, the optimum energy conversion efficiency values of GaSb solar cell structure have been detected to be 21.57%. Opinions about the feasibility, efficiency and development of thermophotovoltaic energy conversion systems are stated, and suggestions are presented.
Parametric Modelling and Multi-Objective Optimization of Electro Discharge Machining Process Parameters for Sustainable Production

Electro Discharge Machining (EDM) can be an element of a sustainable manufacturing system. In the present study, the sustainability implications of EDM of special-purpose steels are investigated. The machining quality (minimum surface roughness), productivity (material removal rate) improvement and cost (electrode wear rate) minimization are considered. The influence and correlation of the three most important machining parameters including pulse on time, current and pulse off time have been investigated on sustainable production. Empirical models have been established based on response surface methodology for material removal rate, electrode wear rate and surface roughness. The investigation, validation and deeper insights of developed models have been performed using ANOVA, validation experiments and microstructure analysis respectively. Pulse on time and current both appeared as the prominent process parameters having a significant influence on all three measured performance metrics. Multi-objective optimization has been performed in order to achieve sustainability by establishing a compromise between minimum quality, minimum cost and maximum productivity. Sustainability contour plots have been developed to select suitable desirability. The sustainability results indicated that a high level of 75.5% sustainable desirability can be achieved for AISI L3 tool steel. The developed models can be practiced on the shop floor practically to attain a certain desirability appropriate for particular machine limits.
The South Africa‐U.S. Trade and the Real Exchange Rate: Asymmetric Evidence from 25 Industries

Previous studies that assessed the effects of exchange rate changes on the trade balance of South Africa assumed that the effects are symmetric. In this paper we violate that assumption and assess the asymmetric effects of the real rand‐dollar rate on the trade balance of 25 2‐digit industries that trade between South Africa and the U.S. We find short‐run asymmetric effects in a total of 19 industries but short‐run cumulative or impact asymmetric effects only on five industries. Short‐run asymmetric effects lasted into long‐run asymmetric effects on 14 industries. Further analysis revealed industries that will benefit from rand depreciation and those that will be hurt from rand appreciation.
Intelligent Recommendation System Based on Image Processing

Recommendations for images are the core tasks of many website recommendation systems. This paper develops a relatively complete image recommendation system based on the relative data analysis of the hotel website. In this paper, the image processing methods such as computer vision in the field of deep learning are applied to the information processing classification of the image of the hotel website. The image recommendation system established in this paper is more targeted than the recommendation system of some previous websites. This paper evaluates the aesthetics of NIMA images of the photos of the houses, and uses the show and tell model to describe the image and text, and finally according to the star rating and user preferences. Use collaborative filtering algorithms for house listings and recommendations. The accuracy of the recommendation is greatly improved, and the quality of the service selected by the user can be effectively guaranteed.
Fetal arrhythmias and related fetal and neonatal outcomes

Fetal cardiac arrhythmia has good prognosis. However, some can lead to hydrops fetalis and perinatal mortality. There are not sufficient studies on the prevalence and complications of fetal arrhythmias in Iran, thus, making parents anxious. Therefore, we performed this study to determine its proper management and to prevent its complications during pregnancy. Then we can help parents by giving them sufficient information about their fetal problem. Materials and Methods: This descriptive-analytic study included 81 pregnant women with fetal arrhythmia detected in routine monitoring. For cases, we performed fetal echocardiography. Data was analyzed by SPSS 20 (P < 0.05). Results: This study assessed the fetal period until 28 days after labor. Fetal arrhythmia was confirmed in 37 cases through echocardiography. The most prevalent arrhythmia was extrasystole with 27 cases (72.97%). Two cases with congenital heart disease experienced heart failure and hydrops fetalis and died in neonatal period and 25 cases survived. Eight cases had bradycardia including 5 with sinus bradycardia and 3 with atrioventricular block. Seven cases had congenital heart problems and 4 of them led to heart failure. Perinatal mortality was seen in six cases. Tachycardia was seen in two cases (5.4%) with no heart failure or hydrops fetalis. One case died of preterm delivery. Conclusion: Congenital heart disease is considered as an important risk, affecting fetal and neonatal outcome in fetuses with arrhythmias. As pregnancy advances, the frequency of arrhythmias decreased and converted to sinus rhythm
Towards a New Agenda for Service Design Research

Abstract This paper presents the findings from a systemic enquiry into the current research on Service Design (SD). It examines academic publications on SD over the last two decades using a summative content analysis of 305 articles that use SD as one of its ‘author provided subjects’. The analysis revealed: (1) three distinct groups of publications that use SD differently, with research rooted in Design (142 articles) seen as the driver for development of SD as a discipline; (2) a typological overview of SD research including nine categories differentiated by ‘knowledge’ and ‘methods’. The findings suggest that SD research is largely comprised of practice-oriented and phenomenological studies based on interpretative approaches. Research underpinned by objectivism is noticeably rarer. Future research needs to go beyond practice-based research, to embrace more objective and systemic approaches.
The human myostatin precursor protein : structure, function and amyloid formation : implications for the muscle wastage disease sporadic inclusion body myositis.

Myostatin, a negative regulator of muscle growth, has been implicated in sporadic inclusion body myositis (sIBM). sIBM is the most common age-related muscle-wastage disease with a pathogenesis similar to that of amyloid disorders such as Alzheimer’s and Parkinson’s diseases. Myostatin precursor protein (MstnPP) has been shown to associate with large molecular weight filamentous inclusions containing the Alzheimer’s amyloid beta peptide in sIBM tissue, and MstnPP is upregulated following ER stress. The mechanism for how MstnPP contributes to disease pathogenesis is unknown. Here, we show for the first time that MstnPP is capable of forming amyloid fibrils in vitro. When MstnPP-containing Escherichia coli inclusion bodies are refolded and purified, a proportion of MstnPP spontaneously misfolds into amyloid-like aggregates as characterised by electron microscopy and binding of the amyloid-specific dye thioflavin T. When subjected to a slightly acidic pH and elevated temperature, the aggregates form straight and unbranched amyloid fibrils 15 nm in diameter and also exhibit higher order amyloid structures. Circular dichroism spectroscopy reveals that the amyloid fibrils are dominated by b-sheet and that their formation occurs via a conformational change that occurs at a physiologically relevant temperature. Importantly, MstnPP aggregates and protofibrils have a negative effect on the viability of myoblasts. These novel results show that the myostatin precursor protein is capable of forming amyloid structures in vitro with implications for a role in sIBM pathogenesis. Citation: Starck CS, Sutherland-Smith AJ (2010) Cytotoxic Aggregation and Amyloid Formation by the Myostatin Precursor Protein. PLoS ONE 5(2): e9170. doi:10.1371/journal.pone. 0009170 Editor: Ashley M. Buckle, Monash University, Australia Received November 1, 2009; Accepted January 19, 2010; Published February 11, 2010 Copyright: 2010 Starck, Sutherland-Smith. This is an open-access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited. Funding: This work was funded by Tertiary Education Commission Top Achiever Doctoral and New Zealand Neuromuscular Alliance Henry Kelsey Scholarships to C.S. S. and grants from the Massey University Research Fund and the Palmerston North Medical Research Foundation to A.J.S. -S. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript. Competing Interests: The authors have declared that no competing interests exist. * E-mail: A.J.Sutherland-Smith@massey.ac. nz
Early Evidence on the Use of Foreign Cash Following the Tax Cuts and Jobs Act of 2017

The Tax Cuts and Jobs Act of 2017 (TCJA) reduces multinational firms’ internal capital market frictions through a deemed repatriation of unremitted foreign earnings and eliminating future repatriation tax costs. This change to the U.S. corporate tax system permanently reduces repatriation costs and gives multinational firms access to lower cost internal capital (i.e., foreign cash). This study provides evidence that multinational firms with greater levels of pre-TCJA foreign cash increased their post-TCJA repurchases but did not change their shareholder dividends or capital expenditures, on average. We further document that the increase in repurchases is driven by those firms that had greater pre-TCJA repatriation tax costs and costlier access to external finance (i.e., marginally weak financial health firms). While we do not find a relationship in the sample-wide analysis, we do find a positive relation between foreign cash and post-TCJA capital expenditures for firms that are in marginally weak financial health. Furthermore, the increase in total capital expenditures is primarily due to an increase in domestic capital expenditures rather than foreign capital expenditures. This outcome is consistent with internal capital market theory and suggests a decrease in internal capital market frictions allows companies access to trapped foreign cash.
Smart Assisting Visually Impaired Stick (SAVIS)

— The blind stick is one of the tools or equipment that been daily bring along to navigate and detect obstacle for blind or visually impaired people. This blind stick has its limitation that is can detect the ground obstacles by hitting and let the people to move either left or right direction. Besides that, blind people have also been faced some awkward situations such as hitting walker's leg by blind stick, injury by hitting the obstacles. Thus, this research project is to help them to overcome such awkward situations of using the blind stick. The blind stick designed in this project use Raspberry Pi 3 B+ module as a main processor to compute the task activity. This blind stick will be implement with a night vision camera, which captures the image of the obstacle. After that image will be processed using digital image processing software to detect the edges. Then, system sends the PWM signal to motor wheel, which control the direction of the stick to avoid hitting obstacle. A GPS module is used to help blind people navigate in proper direction. Telegram app has been used for automatic sending the real-time GPS location and picture to a caretaker by pressing a button on the stick. Caretaker check the location of the bind people whether they moved away from the current location by sending a text message to the system in the stick. Apart from that, object identifying function also been implement into this project.