Truncated human endothelin receptor A produced by alternative splicing and its expression in melanoma

In this study, reverse transcriptase polymerase chain reaction was used to amplify human endothelin receptor A (ETA) and ETB receptor mRNA. A truncated ETA receptor transcript with exons 3 and 4 skipped was found. The skipping of these two exons results in 109 amino acids being deleted from the receptor. The truncated receptor was expressed in all tissues and cells examined, but the level of expression varied. In melanoma cell lines and melanoma tissues, the truncated receptor gene was the major species, whereas the wild-type ETA was predominant in other tissues. A 1.9-kb ETA transcript was identified in melanoma cell lines by Northern blot, which was much smaller than the transcript in heart and in other tissues reported previously (4.3 kb). The cDNA coding regions of the truncated and wild-type ETA receptors were stably transfected into Chinese hamster ovary (CHO) cells. The truncated ETA receptor-transfected CHO cells did not show binding affinity to endothelin 1 (ET-1) or endothelin 3 (ET-3). The function and biological significance of this truncated ETA receptor is not clear, but it may have regulatory roles for cell responses to ETs

Phase transitions in rotating neutron stars: Effects of stellar crusts

As a rapidly rotating neutron star spins down due to the loss of its angular momentum, its central density increases and the nuclear matter in its core converts to quark matter, which leads to a drastic decrease of the stellar moment of inertia, and even results in an era of spin-up of the pulsar (Glendenning, Pei, & Weber 1997). We find that given a certain equation of state in the liquid core, even if the backbending of the moment of inertia as a function of the rotating frequency occurs, an increase of the total moment of inertia by only 1% could carry adequate angular momentum and stop the star spin-up. This small discrepancy in the total moment of inertia might be due to the different properties of subnuclear matter in the crust, especially to different transition density and pressure at the inner boundary of the solid crust between various models. The strong dependence of the phenomenon of back-bending on the physical state of the crust provides, in principle, a new observational approach to check and constrain theories on subnuclear matter.published_or_final_versio

A genetic polymorphism and its genetic effects on goat myogenin gene in intron 1

Single nucleotide polymorphisms (SNPs) of the myogenin (MyoG) gene were tested using primer induced restriction fragment length polymorphism assay-polymerase chain reaction (PIRA-PCR) from Bore goat and its upgrading offspring to Tangshan diary goat (including F1, F2 and F3). The effects of the myogenin gene on the birth weight, 1-month body weight and the weaning weight were also analyzed. On the basis of the DNA sequence of the goat myogenin gene (FJ607135), primers were designed to amplify myogenin gene. The result showed that one polymorphism (transition of g.558C>T) was found in intron 1 of goat myogenin gene, in which two alleles (A and B) and three genotypes (AA, AB and BB) were examined. The distributions of three genotypes were basically identical in four goat populations, and allele A was the dominant gene. The effect of the myogenin genotypes on the birth weight, 1-month body weight and the weaning weight were all not significant (P > 0.05) due to the small number of BB gaots; however, the values of AA genotype goats and AB genotype goats were obviously higher than those of BB genotype goats for three growth traits, in the order of AA > AB > BB. These results suggest that the myogenin genotype has some effects on partial growth traits of goat, and selecting the individuals with A allele could be favorable to the birth weight, 1-month body weight and the weaning weight.Key words: goats, myogenin gene, primer induced restriction fragment length polymorphism assay-polymerase chain reaction (PIRA-PCR), genetic polymorphisms, genetic effects

RFID-enabled complex event processing application framework for manufacturing

In order to face up with classic manufacturing challenges such as high work in progress (WIP) inventories, complexity in production planning and scheduling, and low labour and machine utilisation, many manufacturing companies made their efforts in implementing RFID (Radio Frequency Identification Devices) throughout the manufacturing workshops. Through this way, all production data in manufacturing fields can be obtained in real time, and it improves the flexibility and responsivity to the changing market for the companies. However, at the same time the RFID deployment also introduces a new challenge which requires an effective and efficient method to handle the large amounts of events. This paper proposes an application framework for a real-time Complex Event Management System (CEMS) based on RFID equipments deployment. With the use of Complex Event Processing (CEP) technologies, this system allows users to obtain interested and meaningful information from large numbers of primitive events captured from the RFID devices deployed in manufacturing shop-floor in real time. This paper presents the RFID deployment infrastructure first, and then system design of the CEMS is proposed. © 2011 Inderscience Enterprises Ltd.postprin

Deep Learning networks with p-norm loss layers for spatial resolution enhancement of 3D medical images

Thurnhofer-Hemsi K., López-Rubio E., Roé-Vellvé N., Molina-Cabello M.A. (2019) Deep Learning Networks with p-norm Loss Layers for Spatial Resolution Enhancement of 3D Medical Images. In: Ferrández Vicente J., Álvarez-Sánchez J., de la Paz López F., Toledo Moreo J., Adeli H. (eds) From Bioinspired Systems and Biomedical Applications to Machine Learning. IWINAC 2019. Lecture Notes in Computer Science, vol 11487. Springer, ChamNowadays, obtaining high-quality magnetic resonance (MR) images is a complex problem due to several acquisition factors, but is crucial in order to perform good diagnostics. The enhancement of the resolution is a typical procedure applied after the image generation. State-of-the-art works gather a large variety of methods for super-resolution (SR), among which deep learning has become very popular during the last years. Most of the SR deep-learning methods are based on the min- imization of the residuals by the use of Euclidean loss layers. In this paper, we propose an SR model based on the use of a p-norm loss layer to improve the learning process and obtain a better high-resolution (HR) image. This method was implemented using a three-dimensional convolutional neural network (CNN), and tested for several norms in order to determine the most robust t. The proposed methodology was trained and tested with sets of MR structural T1-weighted images and showed better outcomes quantitatively, in terms of Peak Signal-to-Noise Ratio (PSNR) and Structural Similarity Index (SSIM), and the restored and the calculated residual images showed better CNN outputs.Universidad de Málaga. Campus de Excelencia Internacional Andalucía Tech

A case of implementing RFID-based real-time shop-floor material management for household electrical appliance manufacturers

Radio Frequency Identification (RFID) technologies provide automatic and accurate object data capturing capability and enable real-time object visibility and traceability. Potential benefits have been widely reported for improving manufacturing shop-floor management. However, reports on how such potentials come true in real-life shop-floor daily operations are very limited. As a result, skeptics overwhelm enthusiasm. This paper contributes to the re-vitalization of RFID efforts in manufacturing industries by presenting a real-life case study of applying RFID for managing material distribution in a complex assembly shop-floor at a large air conditioner manufacturer. The case study discusses how technical, social and organizational issues have been addressed throughout the project within the company. It is hoped that insights and lessons gained be generalized for future efforts across household electrical appliance manufacturers that share similar shop-floor. © 2010 The Author(s).published_or_final_versionSpringer Open Choice, 21 Feb 201

service innovation of chinese banks in UK

In modern competitive business world, once products or services lose their competitive advantages, service innovation quickly becomes another alternative and influencing way to achieve constant growth and profitability. (Berry et al. 2006). Therefore, this paper studies service innovation of Chinese banks in UK as valuable research objects and it mainly aims to explore factors that influence service innovation performances of banks and interactive relationships of those factors within or outside organizations. Although there are many previous reviews of relative studies, service innovation in financial organizations still has some gaps to fill, let alone when research objects are extremely particular and characteristic like Chinese banks in UK. By conducting multi-dimensional methods, findings of determining factors of service innovation have absolute research values. Questionnaires as method 1 give enough supportive facts for insightful analysis and method 2 an interview not only accomplish previous findings but also enhance further expansions of research results. In general, final findings can be summarised into four main factors. 1. Customer-orientated concepts are basic preconditions of service innovation. 2. Innovative organizational managements are necessary conditions to encourage innovation. 3. External driving forces including networking and advanced technologies can improve innovation to greater levels. 4. Each individual staff’s innovation potential is vital for the firm. Finally, this research is believed helpful for future development of service innovation in financial organizations with its fundamental theories, directions of guidance and real life practices

Analysis of investigation of undergraduate nurse's critical thinking

2003-2004 > Academic research: refereed > Publication in refereed journalVersion of RecordPublishe

Prta: A System to Support the Analysis of Propaganda Techniques in the News

Recent events, such as the 2016 US Presidential Campaign, Brexit and the COVID-19 "infodemic", have brought into the spotlight the dangers of online disinformation. There has been a lot of research focusing on fact-checking and disinformation detection. However, little attention has been paid to the specific rhetorical and psychological techniques used to convey propaganda messages. Revealing the use of such techniques can help promote media literacy and critical thinking, and eventually contribute to limiting the impact of "fake news" and disinformation campaigns.Prta (Propaganda Persuasion Techniques Analyzer) allows users to explore the articles crawled on a regular basis by highlighting the spans in which propaganda techniques occur and to compare them on the basis of their use of propaganda techniques. The system further reports statistics about the use of such techniques, overall and over time, or according to filtering criteria specified by the user based on time interval, keywords, and/or political orientation of the media. Moreover, it allows users to analyze any text or URL through a dedicated interface or via an API. The system is available online: https://www.tanbih.org/prta