Rational F-Theory GUTs without exotics

We construct F-theory GUT models without exotic matter, leading to the MSSM matter spectrum with potential singlet extensions. The interplay of engineering explicit geometric setups, absence of four-dimensional anomalies, and realistic phenomenology of the couplings places severe constraints on the allowed local models in a given geometry. In constructions based on the spectral cover we find no model satisfying all these requirements. We then provide a survey of models with additional U(1) symmetries arising from rational sections of the elliptic fibration in toric constructions and obtain phenomenologically appealing models based on SU(5) tops. Furthermore we perform a bottom-up exploration beyond the toric section constructions discussed in the literature so far and identify benchmark models passing all our criteria, which can serve as a guideline for future geometric engineering.Comment: 27 Pages, 1 Figur

Improving the assessment of transferable skills in chemistry through evaluation of current practice

The development and assessment of transferable skills acquired by students, such as communication and teamwork, within undergraduate degrees is being increas-ingly emphasised. Many instructors have designed and implemented assessment tasks with the aim to provide students with opportunities to acquire and demon-strate these skills. We have now applied our previously published tool to evaluate whether assessment tasks allow students to demonstrate achievement of these transferable skills. The tool allows detailed evaluation of the alignment of any as-sessment item against the claimed set of learning outcomes. We present here two examples in which use of the tool provides evidence for the level of achievement of transferable skills and a further example of use of the tool to inform curricu-lum design and pedagogy, with the goal of increasing achievement of communi-cation and teamwork bench marks. Implications for practice in assessment design for learning are presented

Vesicle miR-195 derived from endothelial cells inhibits expression of serotonin transporter in vessel smooth muscle cells

Serotonin or 5-hydroxytryptamine (5-HT) has been shown to be essential in lots of physiological and pathological processes. It is well known that 5-HT and 5-HT transporter (5-HTT) play important roles in the pulmonary artery in pulmonary hypertension. However, little is known about the function of 5-HTT in other arteries. In this study we found that the expression of 5-HTT was elevated in injured carotid arteries and over-expression of 5-HTT induced proliferation of smooth muscle cells (SMCs); however, this phenotype could be reversed by knocking-down of 5-HTT or endothelial cells conditional medium (EC-CM). A 5-HTT inhibitor, fluoxetine, treated animals also exhibited reduced restenosis after injury. We identified that miR-195 was packaged in the extracellular vesicles from EC-CM. We further confirmed that extracellular vesicles could transfer miR-195 from ECs to SMCs to inhibit the expression of 5-HTT in SMCs and the proliferation of SMCs. These results provide the first evidence that ECs communicate with SMCs via micro-RNA195 in the regulation of the proliferation of SMCs through 5-HTT, which will contribute to a better understanding of communications between ECs and SMCs via micro-RNA. Our findings suggest a potential target for the control of vessel restenosis

Discriminating lymphomas and reactive lymphadenopathy in lymph node biopsies by gene expression profiling

<p>Abstract</p> <p>Background</p> <p>Diagnostic accuracy of lymphoma, a heterogeneous cancer, is essential for patient management. Several ancillary tests including immunophenotyping, and sometimes cytogenetics and PCR are required to aid histological diagnosis. In this proof of principle study, gene expression microarray was evaluated as a single platform test in the differential diagnosis of common lymphoma subtypes and reactive lymphadenopathy (RL) in lymph node biopsies.</p> <p>Methods</p> <p>116 lymph node biopsies diagnosed as RL, classical Hodgkin lymphoma (cHL), diffuse large B cell lymphoma (DLBCL) or follicular lymphoma (FL) were assayed by mRNA microarray. Three supervised classification strategies (global multi-class, local binary-class and global binary-class classifications) using diagonal linear discriminant analysis was performed on training sets of array data and the classification error rates calculated by leave one out cross-validation. The independent error rate was then evaluated by testing the identified gene classifiers on an independent (test) set of array data.</p> <p>Results</p> <p>The binary classifications provided prediction accuracies, between a subtype of interest and the remaining samples, of 88.5%, 82.8%, 82.8% and 80.0% for FL, cHL, DLBCL, and RL respectively. Identified gene classifiers include LIM domain only-2 (<it>LMO2</it>), Chemokine (C-C motif) ligand 22 (<it>CCL22</it>) and Cyclin-dependent kinase inhibitor-3 (<it>CDK3</it>) specifically for FL, cHL and DLBCL subtypes respectively.</p> <p>Conclusions</p> <p>This study highlights the ability of gene expression profiling to distinguish lymphoma from reactive conditions and classify the major subtypes of lymphoma in a diagnostic setting. A cost-effective single platform "mini-chip" assay could, in principle, be developed to aid the quick diagnosis of lymph node biopsies with the potential to incorporate other pathological entities into such an assay.</p

Determination of suspected non halal food products by using porcine mitochondrial 12s rDNA and porcine leptin gene / Khairunnisa Hassan

In the current era of market globalization, people in the world could not evade from imported food products. The demand for imported food products such as chocolates, biscuits and sweets are projected to escalate steadily over the next decade as a result of increasing consumption. Unfortunately, most of the imported food products do not have Halal Logo or with doubted Halal Logo. The demand for Halal food and other Islamic consumer goods is increasing. This study will be beneficial to provide new information of Halal products and easier for Muslim to choose the permissible products according to Syariah Law. The main objective of this study was to determine of suspected Non Halal processed food products by using porcine mitochondrial 12S rDNA and porcine leptin gene. A total of 66 samples of suspected Non Halal food products were screened for porcine mitochondrial 12S rDNA gene and porcine leptin gene primer pairs from the genomic DNA. The PCR products were separated on 2% agarose gel and visualized under UV light. Thirty seven samples were positive with mitochondrial 12S rDNA gene whilst 59 samples were positive with leptin gene. From these, 33 were positive with both primers. These results indicate that the samples of processed food products contained porcine derivatives. From the detection of the DNA products by using the two set of primers, leptin gene was concluded to be more specific than the mitochondrial 12S rDNA gene. Some of the PCR products of processed food products of mitochondrial 12S rDNA gene and leptin gene were sent to Genomic Bioscience & Technology Company for DNA sequencing. Then, the sequences of the DNA were used for sequence alignment in order to get a probe specific to Halal food. Two probes were obtained, one with 24 mers and 13 mers, respectively. Mitochondrial 12S rDNA gene was chosen to make a probe because it has more quality DNA for a probe compared to leptin gene. In addition, findings from this research also provide new information in the detection of pork in foods products for Halal authentication

A resource-based view and dynamic capabilities approach in the context of a region’s international attractiveness: The recent case of Western Australia

This exploratory study proposes a framework based on the resource view theory and the dynamic capabilities approach to further the understanding of a region’s attractiveness, particularly from an international perspective. The case of Western Australia is examined through in-depth, face-to-face interviews with nine country consuls experienced in international trade. The findings revealed significant ways in which Western Australia could enhance its future commercial appeal. The findings revealed the value of synergies between this state and other countries, particularly exchanging expertise, transferring knowledge, or exporting know-how, education, both university and industry-focused, research and development and expertise. These forms of regional attractiveness emphasise the strategic role of industry resources and dynamic capabilities, thus, underscoring the usefulness and applicability of the proposed framework. While the state’s mineral exports will continue to drive its economy, harnessing its potential in other areas is crucial to adapt to changing business environments and to build sustained competitive advantage. © 2018, The Author(s) 2018

Psychosis Endophenotypes:A Gene-Set-Specific Polygenic Risk Score Analysis

Background and Hypothesis:Endophenotypes can help to bridge the gap between psychosis and its genetic predispositions, but their underlying mechanisms remain largely unknown. This study aims to identify biological mechanisms that are relevant to the endophenotypes for psychosis, by partitioning polygenic risk scores into specific gene sets and testing their associations with endophenotypes.Study Design:We computed polygenic risk scores for schizophrenia and bipolar disorder restricted to brain-related gene sets retrieved from public databases and previous publications. Three hundred and seventy-eight gene-set-specific polygenic risk scores were generated for 4506 participants. Seven endophenotypes were also measured in the sample. Linear mixed-effects models were fitted to test associations between each endophenotype and each gene-set-specific polygenic risk score.Study Results:After correction for multiple testing, we found that a reduced P300 amplitude was associated with a higher schizophrenia polygenic risk score of the forebrain regionalization gene set (mean difference per SD increase in the polygenic risk score: −1.15 µV; 95% CI: −1.70 to −0.59 µV; P = 6 × 10−5). The schizophrenia polygenic risk score of forebrain regionalization also explained more variance of the P300 amplitude (R2 = 0.032) than other polygenic risk scores, including the genome-wide polygenic risk scores.Conclusions:Our finding on reduced P300 amplitudes suggests that certain genetic variants alter early brain development thereby increasing schizophrenia risk years later. Gene-set-specific polygenic risk scores are a useful tool to elucidate biological mechanisms of psychosis and endophenotypes, offering leads for experimental validation in cellular and animal models