Miracle-dz/UniFAR-FTUs huggingface dataset:
Sulindac inhibits pancreatic carcinogenesis in LSL-KrasG 12 D-LSL-Trp 53 R 172 H-Pdx-1-Cre mice via suppressing aldo-keto reductase family 1 B 10 ( AKR 1 B 10 )

Sulindac has been identified as a competitive inhibitor of aldoketo reductase 1B10 (AKR1B10), an enzyme that plays a key role in carcinogenesis. AKR1B10 is overexpressed in pancreatic ductal adenocarcinoma (PDAC) and exhibits lipid substrate specificity, especially for farnesyl and geranylgeranyl. There have been no studies though showing that the inhibition of PDAC by sulindac is via inhibition of AKR1B10, particularly the metabolism of farnesyl/geranylgeranyl and Kras protein prenylation. To determine the chemopreventive effects of sulindac on pancreatic carcinogenesis, 5-week-old LSL-KrasG12D-LSL-Trp53R172H-Pdx1-Cre mice (Pankras/p53 mice) were fed an AIN93M diet with or without 200 p.p.m. sulindac (n = 20/group). Kaplan–Meier survival analysis showed that average animal survival in Pankras/p53 mice was 143.7 ± 8.8 days, and average survival with sulindac was increased to 168.0 ± 8.8 days (P < 0.005). Histopathological analyses revealed that 90% of mice developed PDAC, 10% with metastasis to the liver and lymph nodes. With sulindac, the incidence of PDAC was reduced to 56% (P < 0.01) and only one mouse had lymph node metastasis. Immunochemical analysis showed that sulindac significantly decreased Ki-67-labeled cell proliferation and markedly reduced the expression of phosphorylated extracellular signal-regulated kinases 1 and 2 (ERK1/2), c-Raf and mitogen-activated protein kinase kinase 1 and 2. In in vitro experiments with PDAC cells from Pankras/p53 mice, sulindac exhibited dose-dependent inhibition of AKR1B10 activity. By silencing AKR1B10 expression through small interfering RNA or by sulindac treatment, these in vitro models showed a reduction in Kras and human DNA-J homolog 2 protein prenylation, and downregulation of phosphorylated C-raf, ERK1/2 and MEK1/2 expression. Our results demonstrate that sulindac inhibits pancreatic carcinogenesis by the inhibition of Kras protein prenylation by targeting AKR1B10.
Chloroplast Ribosomal Protein Gene rps 12 of Chlamydomonas reinhardtii

The chloroplast rps l2 gene encoding ribosomal protein 512 from wild-type as well as from streptomycinresistant and -dependent mutants of Chlamydomonas reinhardtii was cloned and sequenced. At least six mRNA transcripts ranging in size from 800 to 4800 nucleotides were found to contain the rps l2 coding sequence. As in Escherichia coli and Euglena, the C. reinhardtii rps l2 gene is continuous, in contrast to its trans-spliced structure in higher plants. However, rps l2 of C. reinhardtii is no longer immediately adjacent to the rps7 gene encoding ribosomal protein 57 as it is in other organisms, The deduced amino acid sequence of C. reinhardtii 512 protein shows strong homologies (48-7970 identity) to 512 protein sequences of other organisms, but it has extra amino acid residues at its C terminus. Single base pair changes at different sites result in streptomycin-resistant or -dependent mutants with amino acid changes identical to comparable mutations in the E. coli 512 protein. The chloroplast rps l2 gene is also expressed under the control of its own promoter in E. coli cells, and the C. reinhardtii 512 protein produced assembles into the E. coli ribosomes where it appears to function efficiently.
Advanced Carbon-Fiber Composite Materials for RFID Tag Antenna Applications

In this paper we explore the use of carbon fiber composites (CFC) in radio-frequency identification (RFID) antenna applications both numerically and experimentally. For this purpose, we use two kinds of CFC materials as the radiating element. We consider two types of RFID antennas: the T-match bowtie antenna, and the meander line antenna. The electromagnetic (EM) model of CFC antennas is developed using the Microwave Studio software for numerical analysis. By characterizing samples of CFC material an accurate model of the composite is obtained to be used in the antenna simulation. The composite RFID antenna performance is investigated and compared with a metal antenna. The performance of the antenna can be controlled using the anisotropic property of reinforced continuous carbon fiber composite material. The bandwidth, radiation resistance, and gain/read-range of the RFID antenna can be adjusted by changing the thickness, conductivity, and fiber orientation of the composite material. Because the CFC antenna has a much higher bandwidth, it can be more effective than a metal antenna in RFID.
The anatomy of eyebrow ptosis.

An anatomical study was performed to gain a better understanding of the pathogenesis of eyebrow ptosis. Through cadaver dissection, we sought to establish the anatomy of the normal eyebrow, to determine why the temporal part of the eyebrow becomes ptotic earlier than the medial portion, and to locate precisely the regional nerves and vessels to aid the eyebrow surgeon. a fat-pad exists beneath the eyebrow. Dense attachments on the underside of the eyebrow fat-pad secure the eyebrow to the supraorbital ridge. Because the supraorbital ridge extends only over the medial one half to two thirds of the orbit, the lateral part of the eyebrow lacks deep support and droops with the frontal skin and muscle relaxation seen in age. Vertical lateral orbicularis fibers are consistently seen in the cadaver. Because of their location, they may play a role in producing "laugh lines. "
Study on Analysis of Program Collection for Classifying and Understanding Relations

Throughout a software development historic-lifecycle, a large amount of software and libraries can be generated. Those outputs are collected or categorized to form a “program collection”. This dissertation dealt with two types of program collections. “Program collection with time series” is a set of the programs that have the same origin, but now containing multiple versions through branching and updating. “Snapshot of program collection” is a set of programs that is provided as ready to (re)use in deveoping another program. This category contains applications for specific devices and library set. Well-managed program collections are useful for further development, as a target of software reuse. Maintaining program collections and keeping their value as an asset is an important thing, to prevent them from obsolescence. Thus, analysis technique for understanding their characteristics and revealing hidden relations may be helpful. This dissertation describes four researches on analysis of program collections for classifying and understanding their relations. Each research analysis uses very limited inputs, mostly the program code, and reveals important characteristics of program collections. We believe that these results support developers to understanding existing program collections. In the first research, we present a method to approximate evolution history of product family using only the source code of them. Since the history of product family would be lost in typical cases, it is hard for developers to understand these product family. A proposed method only requires the source code of target product family and clarify the branching and latest versions of the software products. The study showed that about 80% of the edge in the approximated evolution history is consistent with the actual evolution history of the products. In the second research, we present a semi-automatic method to extract features from Android applications. Many Android applications with similar purpose are available, however, those applications are developed by independent developer so it is difficult to compare. The method extracts sequences of API calls from source code of Android applications and consider those sequences as features of applications. A case study showed
Diagnostic potential of interferon‐gamma release assay to detect latent tuberculosis infection in kidney transplant recipients

Latent tuberculosis (TB) infection (LTBI) is screened by using clinical assessment, tuberculin skin test (TST), chest radiography, and recently by interferon‐gamma release assays (IGRA). The objective of this study was to evaluate the diagnostic potential of QuantiFERON®‐TB Gold In‐Tube test (QFT) for diagnosing LTBI in patients planned for kidney transplantation.
Aspects of Cyber Kill Chain

Recent trends in targeted cyber-attacks has increased the interest of research in the field of cyber securit y. Such attacks have massive disruptive effects on organizati ons, enterprises and governments. Cyber kill chain is a model to describe cyber-attacks so as to develop incident response a nd analysis capabilities. Cyber kill chain in simple terms is an attack chain, the path that an intruder takes to penetrate information systems over time to execute an attack on the target. This paper broadly categories the methodologies, techniques an d tools involved in cyber-attacks. This paper intends to help a cybe r security researcher to realize the options available to an a ttacker at every stage of a cyber-attack. Keywords—Reconnaissance, RAT, Exploit, Cyber Attack, Persistence, Command & Control
Improved survival with MEK inhibition in BRAF-mutated melanoma.

BACKGROUND Activating mutations in serine-threonine protein kinase B-RAF (BRAF) are found in 50% of patients with advanced melanoma. Selective BRAF-inhibitor therapy improves survival, as compared with chemotherapy, but responses are often short-lived. In previous trials, MEK inhibition appeared to be promising in this population. METHODS In this phase 3 open-label trial, we randomly assigned 322 patients who had metastatic melanoma with a V600E or V600K BRAF mutation to receive either trametinib, an oral selective MEK inhibitor, or chemotherapy in a 2:1 ratio. Patients received trametinib (2 mg orally) once daily or intravenous dacarbazine (1000 mg per square meter of body-surface area) or paclitaxel (175 mg per square meter) every 3 weeks. Patients in the chemotherapy group who had disease progression were permitted to cross over to receive trametinib. Progression-free survival was the primary end point, and overall survival was a secondary end point. RESULTS Median progression-free survival was 4.8 months in the trametinib group and 1.5 months in the chemotherapy group (hazard ratio for disease progression or death in the trametinib group, 0.45; 95% confidence interval [CI], 0.33 to 0.63; P<0.001). At 6 months, the rate of overall survival was 81% in the trametinib group and 67% in the chemotherapy group despite crossover (hazard ratio for death, 0.54; 95% CI, 0.32 to 0.92; P=0.01). Rash, diarrhea, and peripheral edema were the most common toxic effects in the trametinib group and were managed with dose interruption and dose reduction; asymptomatic and reversible reduction in the cardiac ejection fraction and ocular toxic effects occurred infrequently. Secondary skin neoplasms were not observed. CONCLUSIONS Trametinib, as compared with chemotherapy, improved rates of progression-free and overall survival among patients who had metastatic melanoma with a BRAF V600E or V600K mutation. (Funded by GlaxoSmithKline; METRIC ClinicalTrials.gov number, NCT01245062.).
STRATEGIC HRM PRACTICES : INVESTIGATING ORGANIZATIONAL CHARACTERISTICS INFLUENCE

The article investigates how organizational characteristics variables, such as firms’ country of origin, firms’ age and firms’ size, influence the implementation of strategic human resource (SHRM) practices in organizations. The article contributes towards understanding whether there are similarities in the adoption of SHRM practices between firms according to the abovementioned characteristics. A total of one hundred and twenty-one (121) manufacturing firms in the electrical and electronic sector in Malaysia participated in this study. The study discovers that firms in this sector practices average to high level of SHRM practices. Finally, among the three organizational context variables, only firm size showed significant difference in firms’ decision to adopt SHRM practices.
Inference in molecular population genetics

Full likelihood‐based inference for modern population genetics data presents methodological and computational challenges. The problem is of considerable practical importance and has attracted recent attention, with the development of algorithms based on importance sampling (IS) and Markov chain Monte Carlo (MCMC) sampling. Here we introduce a new IS algorithm. The optimal proposal distribution for these problems can be characterized, and we exploit a detailed analysis of genealogical processes to develop a practicable approximation to it. We compare the new method with existing algorithms on a variety of genetic examples. Our approach substantially outperforms existing IS algorithms, with efficiency typically improved by several orders of magnitude. The new method also compares favourably with existing MCMC methods in some problems, and less favourably in others, suggesting that both IS and MCMC methods have a continuing role to play in this area. We offer insights into the relative advantages of each approach, and we discuss diagnostics in the IS framework.
TRADE FLOWS AND LABOUR MARKET INEQUALITY: THE MALAYSIAN CASE

This study examines the differential impact of major bilateral trade flows on inequality in the Malaysian manufacturing labour market for the period 1983 to 2000. The focus is on trade with key trading partners of Malaysia, which are the ASEAN, the United States of America and Japan. In the context of examining inequality, the study focuses on the demand side in determining labour market outcome. The relative effects of labour demand are estimated using skill/wage inequality equations derived from a standard translog cost function that has been widely used in the literature. A distinguishing feature of the empirical work is the use of a unique panel dataset, specially constructed by integrating labour and industry statistics from the nationally representative manufacturing surveys with trade statistics. The paper finds that the direction of trade or rather the “whom” aspects of trade matter for inequality in the Malaysian manufacturing labour market. There are striking differences on inequality when export destinations are considered relative to import sources. The results suggest that an expansion in exports to countries that are relatively skilled abundant causes greater product competition, thereby increasing the demand for skilled vis-avis unskilled in the domestic market. Inequality outcomes however do not differ with import source, as there is a general dampening effect of import expansion on inequality in the shortand long run. The results clearly do not lend support to the widespread belief that imports from countries that are relatively skilled abundant reduce labour market inequality. Evelyn Devadason Department of Economics Faculty of Economics & Administration University of Malaya 50603 Kuala Lumpur Malaysia. Tel: (603) – 79763726 Fax: (603) – 79567252/ 603 79673738 Email: evelyns@um.edu. my * This paper was presented at the 2nd International Business Research Conference, University Technology Sydney, Sydney, Australia, 5 – 8 December 2005.
Choice-based cluster consensus in multi-agent systems

In this paper, the cluster consensus problem for multiple agents whose state evolutions are described by identical linear models is investigated. Control decisions for each agent are dependent on the observed data and a parameter chosen at an initial time from a set of possible options. These options are referred to as agent choices. The observation pattern of the agents is summarized by an interacting graph. The key result of this paper shows that under suitable structural conditions of the interacting graph, there exists a choice-based distributed control algorithm that enables agents who make the same choices to converge to a common consensus state, while agents who make different choices will converge to distinct states. The structural condition is shown to be dependent on how the choice selections are distributed. For interacting graphs that satisfy the so called unicyclic property, an explicit characterization of the sets of choice selections that guarantee cluster consensus is presented.
Development of an Automated Biological Tool for Visualizing Dissimilarity within Gene Co-Expression Networks in Hierarchical Clustering

We present an automated biological tool in order to visualize gene co-expression from a gene expression dataset in form of a dendrogram of hierarchical clusters. Our proposed tool calculates dissimilarities within gene-sets of biological pathways using Topological Overlap Measure algorithm. There are two aspects in our motivation comprising an automated biological tool and algorithms that can be utilized for researchers who are interested in this area because it can help to save time in the data preparation stage. Currently, WGCNA that is developed in R language is still limited in some processes that a researcher has to do manually, for instance data pre-processing and visualization. However, the library can be utilized in gene pair correlation computation of a gene co-expression that is calculated between each gene pair in a gene-set. Moreover, the popular library is able to transform the networks into scale-free networks in order to calculate the dissimilarity weights that are used to create a gene-set profile. In this work, we combined all of the necessary steps in form of an automated tool. Furthermore, our approach also distinguishes between gene pairs consisting of one, both, or no statistical significant genes, based on ANOVA testing of a set of features. In conclusion, our automated tool provides a means of clustering visualization in terms of biological pathway, as well as how gene dissimilarity is linked to the mutual significance of gene pairs within a gene-set that can help researchers in relevant fields to analyze their data.
Application of a Structural Model to the Spanish Electricity Wholesale Market

The aim of this work is to analyse the behaviour of agents in highly concentrated and strongly regulated electricity wholesale markets with rigid demand. In order to accomplish this aim, the analysis was based on the former Spanish electricity generation market, between January 1999 and June 2007, before the MIBEL (Iberian Electricity Market) has started. The analysis is carried out in the theoretical framework of the structural models. Despite the characteristics of this market, the paper suggests that the average high mark-ups observed in the period examined were very likely due to the implementation of anti-competitive strategies. Therefore, the analysis carried out shows that the opening of a wholesale electricity market without the prior increase in the number of market players does not prevent, by itself, the manipulation of the market, even when the market is strongly regulated.
Talking to machines (statistically speaking)

Statistical methods have long been the dominant approach in speech recognition and probabilistic modelling in ASR is now a mature technology. The use of statistical meth-ods in other areas of spoken dialogue is however more recent and rather less mature. This paper reviews spoken dialogue systems from a statistical modelling perspective. The complete system is ﬁrst presented as a partially observable Markov decision process. The various sub-components are then exposed by introducing appropriate intermediate variables. Samples of existing work are reviewed within this framework, including dialogue control and optimisation, semantic interpretation, goal detection, natural language generation and synthesis.
A new DC corrective OPF based on generator and branch outages modelled as fictitious nodal injections

This work deals with a new formulation for the direct current corrective optimal power flow. The formulation is based on the outage of generators and/or branches modelled as fictitious injections of active power. By including that fictitious injections in the optimization problem, the injections are adjusted to the post-contingency state as a consequence of the corrective actions carried out to bring the system back to its normal state. So, when the analysis of contingencies is performed, the classical topological analysis and the subsequent analyses are avoided with this approach. This new formulation uses the sensitivity matrix between branch power flows and powers injected in a power system. An important feature of this matrix is to remain constant during the Contingency Analysis performed for the generation-load scenario (base case) of each period of time to be analysed. The approach proposed is illustrated in the IEEE-RTS of 24 buses. The results obtained in this distribution network demonstrate that the proposed methodology can assess the impact of contingencies with an acceptable accuracy and a short computation time.
Security Issues and Solutions in Cloud Computing

Recently, Cloud computing, as one of the hottest words in IT world, has drawn great attention. Many IT companies such as IBM, Google, Amazon, Microsoft, Yahoo and others vigorously develop cloud computing systems and related products to customers. However, there are still some difficulties for customers to adopt cloud computing, in which many security issues exist, because data for a customer is stored and processed in cloud, not in a local machine. This paper briefly introduces cloud computing and its key concepts. In particularly, we intend to discuss security requirements and security issues involving data, application and virtualization in cloud computing, as well as current solutions to these issues.
Pape r Obtaining mutant fungal strains of Aspergillus niger with high production of fructooligosaccharides ( FOS ) using ultraviolet light irradiation

A strain of Aspergillus niger PR-142 native to northern coast of Peru was subjected to successive processes of mutagenesis by ultraviolet light (UV) irradiation at 253.7 nm to increase the production of fructooligosaccharides (FOS). An initial selection was made by considering the mutants with increased invertase activity followed by the measurement of β-fructosyltransferase (FTase) activity both in mycelium and extracellular environment. Five selected mutants, which showed increased values of mycelium invertase activity (ranging from 101 to 128% as compared to the parent strain) at 40°C and sodium dodecylsulfate 0.15 (w/v), were grown in a fermentative medium in 50 mL conical tubes on a rotary shaker, and their FTase activity was determined. The 6-M69 mutant showed the most active mycelium activity of 1.5 fold as compared to the parent strain. When the same reaction was performed between 1 to 4 h, at the 3 rd h, the mycelium FTase activity significantly increased up to 7 and 3 times in the mutant and parental strain, respectively. Finally, 4 mutants and the parental PR-142 were genetically characterized using inter simple sequence repeat polymerase chain reaction (ISSR-PCR) molecular markers. This analysis showed a significant 33% polymorphic bands between the parent and mutant markers, and 20 bands were unique to the mutants.
A Finslerian version of 't Hooft deterministic quantum models

Using the Finsler structure living in the phase space associated to the tangent bundle of the configuration manifold, deterministic models at the Planck scale are obtained. The Hamiltonian functions are constructed directly from the geometric data and some assumptions concerning time inversion symmetry. The existence of a maximal acceleration and speed is proved for Finslerian deterministic models. We investigate the spontaneous symmetry breaking of the orthogonal symmetry SO(6N) of the Hamiltonian of a deterministic system. This symmetry break implies the nonvalidity of the argument used to obtain Bell’s inequalities for spin states. It is introduced and motivated in the context of Randers spaces, an example of a simple ’t Hooft model with interactions.