Miracle-dz/UniFAR-FTUs huggingface dataset:
Activation of TWIST1 by COL11A1 promotes chemoresistance and inhibits apoptosis in ovarian cancer cells by modulating NF‐κB‐mediated IKKβ expression

We have shown that collagen type XI alpha 1 (COL11A1) promotes ovarian cancer progression and is associated with chemoresistance to cisplatin and paclitaxel in ovarian cancer cells. Here, we demonstrate how COL11A1 regulates twist family basic helix‐loop‐helix transcription factor 1‐related protein 1 (TWIST1) to induce chemoresistance and inhibit apoptosis in ovarian cancer cells. Small interfering RNA‐mediated reduction in COL11A1 protein levels increased the chemosensitivity to cisplatin and paclitaxel via downregulated TWIST1 expression. TWIST1 messenger RNA levels positively associated with COL11A1 messenger RNA expression levels in ovarian tumors. High TWIST1 expression levels were significantly associated with a progression‐free interval of ≤ 6 months (p = 0.001) and death (p = 0.040). In addition, patients with high TWIST1 mRNA levels had significantly shorter 5‐year overall‐survival (p = 0.004) and progression‐free survival (p = 0.009) rates, compared to patients with low TWIST1 levels. Increased TWIST1 expression caused by COL11A1‐induced transcription of the inhibitor of nuclear factor kappa B kinase subunit beta (IKKβ) gene occurred via increased SP1 phosphorylation and binding to the IKKβ promoter. COL11A1‐mediated nuclear factor‐kappa B activation, via transcriptional activation of IKKβ, promoted TWIST1, Mcl‐1, and GAS6 expression, which were associated with chemoresistance and anti‐apoptosis in ovarian cancer cells. We suggest that IKKβ and TWIST1 can potentially be targeted in patients with COL11A1‐positive ovarian cancer.
Population pharmacokinetics of 25-hydroxy vitamin D in children with asthma .

OBJECTIVES Asthma and vitamin D deficiency are widespread in the pediatric and adolescent population. The aim of this study was to develop a population pharmacokinetic (PPK) model and to evaluate the most important factors that can significantly affect clearance of 25-hydroxy vitamin D in asthmatic children using PPK analysis. MATERIALS AND METHODS The study population included school children and adolescents from 7 to 18 years of age of both sexes. PPK analysis was performed by non-linear mixed-effects modeling (NONMEM), and 19 covariates were assessed. Goodness-of-fit plots, validation set and bootstrap analysis were conducted to confirm predictive performance of the final model. RESULTS A total of 60 patients were included in the basic NONMEM data set for PPK modeling with a mean age of 10.2 years and body weight of 41.3 kg. The final pharmacokinetic model for the clearance of 25-hydroxy vitamin D included as covariates intake of vitamin D from foods (DD), hereditary predisposition to asthma (HPA) and the ratio of forced expiratory volume in first second and forced vital capacity (FEV1/FVC ratio). A validation set consisted of 14 separate patients with similar characteristics to the basic data set. The final model was confirmed by internal and external validation and also through goodness-of-fit plots. CONCLUSION These results could be of help for individualization of vitamin D supplementation doses in this vulnerable population.
A virtual instrument for quantitative assessment of pitting corrosion

Purpose – The purpose of this investigation was to develop a digital instrument for the quantitative evaluation of pitting corrosion in metals. Design/methodology/approach – This investigation comprised two central parts: research, testing and monitoring of the formation of pitting by conventional methods and applying American Society for Testing and Materials (ASTM) Standards, and the development of a virtual instrument based on the LabVIEW 2010 platform. Findings – The methodology used was suitable for the analysis of pitting on carbon steel and aluminum alloy UNS A96061, used in the aerospace industry. Practical implications – This technique allows pits to be to localized, measured and quantified on metallic surfaces, for corrosion evaluation in atmospheric and industrial environments. Originality/value – This combination of conventional and digital methods can assist in corrosion control of pitting in industrial equipment.
Strain control of ferromagnetic thin films and devices

Magnetic memory and logic technologies promise greater energy efficiency and speed than conventional, semiconductor-based electronics. To date, electrical current has been used to operate such devices, although voltage-control may be a more efficient way to control magnetisation. One route to achieving voltage control of magnetisation is to use a hybrid piezoelectric/ferromagnetic device in which a voltage applied to the piezoelectric induces a strain in the ferromagnetic layer, which in turn induces a magnetic anisotropy. In this thesis such hybrid devices are used to investigate the control of magnetisation by inducing uniaxial anisotropy in the ferromagnetic layer. One material that shows promise for use as the ferromagnetic layer is Fe81Ga19. This material is attractive since it contains no rare earth elements, and in bulk crystals has been shown to be highly magnetically responsive to strain. This thesis investigates the magnetic properties of epitaxial Fe81Ga19 thin films grown by molecular beam epitaxy and it is demonstrated that these thin films retain the attractive magnetostrictive properties previously observed in bulk crystals. The presence of strong cubic magnetocrystalline anisotropy in the layers is exploited to demonstrate the non-volatile switching of magnetisation using strain-induced anisotropy in the absence of an applied magnetic field. This thesis shows also the manipulation of magnetic anisotropies and control of the configuration of magnetic domains and domain walls in Fe81Ga19 at a range of different lateral dimensions, from50 μm to 1 μm. It is shown that as the lateral dimensions of the device structures studied are reduced the domain configuration appears more regular, and that strain-induced anisotropy is more able to control these domains. In wires around 1 μm in width it is shown that growth strain relaxation by lithographic patterning induces sufficient anisotropy to cause a change in the domain configuration of the wire studied. Finally, this thesis begins to investigate how inverse magnetostriction can be used to tune the behaviour of domain walls in wires 1 μm wide and narrower. Experimental control of the field required to depin a vortex domain wall from a notch in a 1 μm wide Co wire is demonstrated. Using micromagnetic simulations it is shown that a large degree of control over the depinning of domain walls from notches in wires 1 μm wide and narrower is possible. The influence of in plane uniaxial magnetic anisotropy on the domain wall velocity in wires supporting in plane transverse domain walls driven by an external magnetic field is also investigated. Work previously done on the effect of uniaxial anisotropy on domain wall velocities close to Walker breakdown is extended in this thesis and in investigating the velocity and structure at driving magnetic fields far above walker Breakdown a second peak in domain wall velocity is observed, a phenomenon previously observed in wide wires, and wires under the influence of a transverse magnetic field.
The semantic structure of quasi-Borel spaces

Quasi-Borel spaces are a new mathematical structure that supports higher-order probability theory, first-order iteration, and modular semantic validation of Bayesian inference algorithms with continuous distributions. Like a measurable space, a quasi-Borel space is a set with extra structure suitable for defining probability and measure distributions. But unlikemeasurable spaces, quasi-Borel spaces and their structure-preserving maps form a well-behaved category: they are cartesianclosed, and so suitable for higher-order semantics, and they also form a model of Kock’s synthetic measure theory, and so suitable for probabilistic, and measure-theoretic, developments, such as the MetropolisHastings-Green theorem underlying Markov-Chain Monte-Carlo algorithms.
The Biological Aspects of Water Pollution

This book is a collection of the papers given at a symposium on alcohol metabolism held in Detroit, Michigan, on April 11 and 12, 1968. For students of the effects of ethanol on metabolism and on hepatic ultrastructure this is an excellent source of the data on which the various theories are based. It is not a good source for those interested in the relation of ethanol to diseases seen in man. As in all symposia, some sections are more valuable than others. The book is divided into five parts. The sections on the "Determination of Alcohol" and "Zinc and Alcohol Dehydrogenase" are a mere introduction to their subjects. "Metabolic Effects of Alcohol Experimental" contains excellent summaries of the acetaldehyde condensation reaction with alphaketoglutarate, alcoholic hypoglycemia and the effects of ethanol on lipid transport, catechol amine metabolism and oxytoxin release. The best section is "Effect of Alcohol on Tissues and Organs. " Hartroft summarizes those experiments that suggest it is caloric imbalance in association with ethanol ingestion that results in liver injury, while Lieber summarizes those experiments that have led him to believe that ethanol itself, independent of nutritional factors, results in toxic liver injury. In addition, there are excellent papers on the ultrastructural changes that occur in hepatocytes following ethanol ingestion. The weakest section is that on "Clinical Aspects of Alcohol Metabolism" in that important areas are either ignored or treated superficially. All in all, this book is a readily available collection of many important experimental approaches to the effects of ethanol on metabolism, and, for the beginner, will serve as a good introduction to the field.
Cellular mechanisms underlying cardiac engraftment of stem cells

ABSTRACT Introduction: Over the past decade, it has become clear that long-term engraftment of any ex vivo expanded cell product transplanted into injured myocardium is modest and all therapeutic regeneration is mediated by stimulation of endogenous repair rather than differentiation of transplanted cells into working myocardium. Given that increasing the retention of transplanted cells boosts myocardial function, focus on the fundamental mechanisms limiting retention and survival of transplanted cells may enable strategies to help to restore normal cardiac function. Areas covered: This review outlines the challenges confronting cardiac engraftment of ex vivo expanded cells and explores means of enhancing cell-mediated repair of injured myocardium. Expert opinion: Stem cell therapy has already come a long way in terms of regenerating damaged hearts though the poor retention of transplanted cells limits the full potential of truly cardiotrophic cell products. Multifaceted strategies directed towards fundamental mechanisms limiting the long-term survival of transplanted cells will be needed to enhance transplanted cell retention and cell-mediated repair of damaged myocardium for cardiac cell therapy to reach its full potential.
A CASE STUDY OF THE START IN FLAT WATER KAYAKING COMPETITIONS

The aim of this study was to investigate the relationship between shoulder and elbow coordination at the start of a flat-water kayaking competition. A high performance male competitor is analyzed based on the four main corporal positions and phases that the body adopts during a paddling cycle. Photogrammetric procedures were used with data extracted from the movements registered by three video cameras. The amplitude of the 3D angular displacement at the shoulders and elbows was calculated. Non-parametric statistical tests were applied to analyze the angular displacement in the phases of the stroke cycle. Results showed that there are significant differences between angular displacements due to the first stroke kinematic characteristics, but left and right shoulder elbow are highly correlated. The movements performed in the stroke cycle visually reflect bilateral asymmetries.
Prediction of recurrence cancer using J48 algorithm

Data mining is the process of extracting the useful information from the large existing datasets. Data Mining allows users to analyze data from various dimension, categorize the data, and present a review on the identified relationship between the data. This paper describes the use of j48 data mining algorithm to predict the recurrence of cancer based on the dataset of breast cancer. If cancer comes back after treatment, whether in the same place it first started, or in any other part of the body is called recurrent cancer. In this paper we use J48 data mining algorithm on the data set of breast cancer. J48 is a java implementation for C4.5 algorithm provided by Weka tool. Here we analyze the decision tree generated by the algorithm using 10-fold cross validation method to predict the recurrent events, based on the attributes such as node-caps, degree of malignancy, age, tumor-size, menopause, irraradiate etc. This process of data mining will help to identify what range or value of various attribute causes the recurrence cancer.
Conservation genomics of the endangered Burmese roofed turtle

The Burmese roofed turtle (Batagur trivittata) is one of the world's most endangered turtles. Only one wild population remains in Myanmar. There are thought to be 12 breeding turtles in the wild. Conservation efforts for the species have raised >700 captive turtles since 2002, predominantly from eggs collected in the wild. We collected tissue samples from 445 individuals (approximately 40% of the turtles’ remaining global population), applied double‐digest restriction‐site associated DNA sequencing (ddRAD‐Seq), and obtained approximately 1500 unlinked genome‐wide single nucleotide polymorphisms. Individuals fell into 5 distinct genetic clusters, 4 of which represented full‐sib families. We inferred a low effective population size (≤10 individuals) but did not detect signs of severe inbreeding, possibly because the population bottleneck occurred recently. Two groups of 30 individuals from the captive pool that were the most genetically diverse were reintroduced to the wild, leading to an increase in the number of fertile eggs (n = 27) in the wild. Another 25 individuals, selected based on the same criteria, were transferred to the Singapore Zoo as an assurance colony. Our study demonstrates that the research‐to‐application gap in conservation can be bridged through application of cutting‐edge genomic methods.
Polynomial Fuzzy Models for Nonlinear Control: A Taylor Series Approach

Classical Takagi-Sugeno (T-S) fuzzy models are formed by convex combinations of linear consequent local models. Such fuzzy models can be obtained from nonlinear first-principle equations by the well-known sector-nonlinearity modeling technique. This paper extends the sector-nonlinearity approach to the polynomial case. This way, generalized polynomial fuzzy models are obtained. The new class of models is polynomial, both in the membership functions and in the consequent models. Importantly, T-S models become a particular case of the proposed technique. Recent possibilities for stability analysis and controller synthesis are also discussed. A set of examples shows that polynomial modeling is able to reduce conservativeness with respect to standard T-S approaches as the degrees of the involved polynomials increase.
Modelling and Simulation of the Flexoelectric Effect on a Cantilevered Piezoelectric Nanoplate

Piezoelectric nanomaterials have attracted increasing attentions due to their distinct electromechanical features, especially the size-dependent properties, which differ greatly from their bulk counterparts. Due to the large strain gradients presented in nanostructures, the flexoelectricity is believed to be responsible for such size-dependent properties. In this thesis, based on the Kirchhoff plate model and the extended linear piezoelectric theory, a modified continuum mechanics based model is developed to study the size-dependent flexoelectric effect upon the static bending behaviors of a cantilevered piezoelectric nanoplate (PNP). Finite difference method (DFM) is employed to obtain the approximate numerical solutions. The numerical results indicate that the flexoelectric effect is more prominent with the decrease of the plate thickness, and it is also sensitive to the boundary conditions, the plate in-plane dimensions, and the applied mechanical and electrical loads. The current work aims at providing an increased understanding of the size-dependent properties of the piezoelectric nanomaterials.
Enhanced thermal conductive property of polyamide composites by low mass fraction of covalently grafted graphene nanoribbons

High thermal conductive polyamide-6 (PA6) composites based on graphene nanoribbons (GNR) were prepared by an in situ polymerization process and thermal reduction progress. The covalently grafted GNR structures allowed for significantly reducing the number of thermal contacts between GNR layers, leading to the more efficient percolating thermal paths in polymer matrix. As a result, the thermal conductive property of the PA6/GNR composites was significantly improved at a relatively low GNR loading. At GNR mass fraction of only 0.5 wt%, 165% and 95% enhancement of the thermal conductivity of the composites in in-plane and through-plane directions, respectively, was obtained.
The bromodomain inhibitor JQ1 triggers growth arrest and apoptosis in testicular germ cell tumours in vitro and in vivo

Type II testicular germ cell cancers (TGCT) are the most frequently diagnosed tumours in young men (20–40 years) and are classified as seminoma or non‐seminoma. TGCTs are commonly treated by orchiectomy and chemo‐ or radiotherapy. However, a subset of metastatic non‐seminomas (embryonal carcinomas) displays only incomplete remission or relapse and requires novel treatment options. Recent studies have shown effective application of the small‐molecule inhibitor JQ1 in tumour therapy, which interferes with the function of ‘bromodomain and extraterminal (BET)’ proteins. JQ1‐treated TGCT cell lines display up‐regulation of genes indicative for DNA damage and cellular stress response and induce cell cycle arrest. Embryonal carcinoma (EC) cell lines, which presented as JQ1 sensitive, display down‐regulation of pluripotency factors and induction of mesodermal differentiation. In contrast, seminoma‐like TCam‐2 cells tolerated higher JQ1 concentrations and were resistant to differentiation. ECs xenografted in vivo showed a reduction in tumour size, proliferation rate and angiogenesis in response to JQ1. Finally, the combination of JQ1 and the histone deacetylase inhibitor romidepsin allowed for lower doses and less frequent application, compared with monotherapy. Thus, we propose that JQ1 in combination with romidepsin may serve as a novel therapeutic option for (mixed) TGCTs.
Complementary imaging and characterization methodology of polychrome composites in gilded woodcarving using Micro-CT, SEM-EDX and OM

M. F. C. Pereira, A. M. Maurício, I. C. A. Sandu, R. Veiga, A. Le Gac, N. Leal CERENA/CEPGIST, Instituto Superior Técnico, Universidade de Lisboa, Lisboa, Portugal REQUIMTE and Departamento de Conservação e Restauro, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal *** Departamento de Conservação e Restauro, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal CICEGe, Faculdade de Ciências e Tecnologia, Universidade Nova de Lisboa, 2829-516 Caparica, Portugal email: mfcp@tecnico.ulisboa. pt
Developing an edge computing platform for real-time descriptive analytics

The Internet of Mobile Things encompasses stream data being generated by sensors, network communications that pull and push these data streams, as well as running processing and analytics that can effectively leverage actionable information for transportation planning, management, and business advantage. Edge computing emerges as a new paradigm that decentralizes the communication, computation, control and storage resources from the cloud to the edge of the network. This paper proposes an edge computing platform where mobile edge nodes are physical devices deployed on a transit bus where descriptive analytics is used to uncover meaningful patterns from real-time transit data streams. An application experiment is used to evaluate the advantages and disadvantages of our proposed platform to support descriptive analytics at a mobile edge node and generate actionable information to transit managers.
Plasmids containing the same origin of replication are useful tools to perform biotechnological studies in Pseudomonas putida U and in E. coli DH10B

Plasmids containing the same origin of replication (pBBR1MCS-2 Km and pBBR1MCS-3 Tc) have been used to express simultaneous and independently different proteins in P. putida U and in E. coli. Thus, when P. putida was transformed with different genetic constructions made in the same plasmid (pBBR1MCS-3 Tc), or with plasmids containing the same replication origin but with different antibiotic resistant genes (Km and Tc), they co-existed inside the same microbe. Furthermore, when E. coli DH10B was transformed with the plasmids recovered from the recombinant P. putida U, we noticed that all the bacteria isolated from single colonies are resistant to Km and Tc, suggesting that these plasmids were also present in E. coli. This observation facilitates the genetic manipulation of these strains (i.e. avoiding the use of different plasmids in double or multiple complementation experiments), and could be an interesting tool to approach many metabolic and biotechnological studies.
Sampling and energy evaluation challenges in ligand binding protein design

The steroid hormone 17α‐hydroxylprogesterone (17‐OHP) is a biomarker for congenital adrenal hyperplasia and hence there is considerable interest in development of sensors for this compound. We used computational protein design to generate protein models with binding sites for 17‐OHP containing an extended, nonpolar, shape‐complementary binding pocket for the four‐ring core of the compound, and hydrogen bonding residues at the base of the pocket to interact with carbonyl and hydroxyl groups at the more polar end of the ligand. Eight of 16 designed proteins experimentally tested bind 17‐OHP with micromolar affinity. A co‐crystal structure of one of the designs revealed that 17‐OHP is rotated 180° around a pseudo‐two‐fold axis in the compound and displays multiple binding modes within the pocket, while still interacting with all of the designed residues in the engineered site. Subsequent rounds of mutagenesis and binding selection improved the ligand affinity to nanomolar range, while appearing to constrain the ligand to a single bound conformation that maintains the same “flipped” orientation relative to the original design. We trace the discrepancy in the design calculations to two sources: first, a failure to model subtle backbone changes which alter the distribution of sidechain rotameric states and second, an underestimation of the energetic cost of desolvating the carbonyl and hydroxyl groups of the ligand. The difference between design model and crystal structure thus arises from both sampling limitations and energy function inaccuracies that are exacerbated by the near two‐fold symmetry of the molecule.