Miracle-dz/UniFAR-FTUs huggingface dataset:
Additional : Single DNA Molecule Patterning for High-Throughput Epigenetic Mapping

The full length MBD1 protein is composed of 605 amino acids (UniProt/Swiss-Prot ID: Q9UUIS9). The MBD1 methyl CpG binding domain protein, composed of the first 69 amino acids of the full sequence, has been reported in literature as a CpG-methylation probe (Hendrich, B.; Bird, A. Mol. Cell. Biol. 1998, 18, 6538-6547, which was cited as reference 13 in our paper). In our work, a peptide from the C-terminus of MBD1 (Abcam, Ab4918) corresponding to the last 13 amino acids of the full sequence was used. To our knowledge, this peptide has not been previously reported for the detection of DNA methylation. In Figure S2, we provide a Southwestern blot for both the MBD1 C-terminus peptide and the MBD1 methyl CpG binding domain protein, indicating that both have specificity for methylated DNA vs. unmethylated DNA. This was confirmed by our single molecule imaging of combed DNA.
Optimizing Motor Thermal Models

The thermal limitations of induction motors are specified by thermal limit curves that are plots of the limiting temperature of the rotor and stator in units of l2t. This paper discusses the thermal protection provided by rotor and stator thermal models defined by the thermal limit curves and supporting motor data. The thermal model is the time-discrete form of the differential equation for temperature rise due to current and is derived from fundamental principles as shown in the appendix. The rotor model derives the slip-dependent l2r watts using voltage and current that permit the safe starting of high-inertia drive motors. The performance of the models is shown in constant and cyclic load tests
Temporal Evolution of Generalization during Learning in Linear Networks

We study generalization in a simple framework of feedforward linear networks with n inputs and n outputs, trained from examples by gradient descent on the usual quadratic error function. We derive analytical results on the behavior of the validation function corresponding to the LMS error function calculated on a set of validation patterns. We show that the behavior of the validation function depends critically on the initial conditions and on the characteristics of the noise. Under certain simple assumptions, if the initial weights are sufficiently small, the validation function has a unique minimum corresponding to an optimal stopping time for training for which simple bounds can be calculated. There exists also situations where the validation function can have more complicated and somewhat unexpected behavior such as multiple local minima (at most n) of variable depth and long but finite plateau effects. Additional results and possible extensions are briefly discussed.
Where are the women candidates during elections? A Fiji media case study

This article examines the visibility of female election candidates, and females in general, in The Fiji Times and Fiji Sun during the 2006 general election. After analysing the data collected quantitatively, it can be concluded that female election candidates and females in general were virtually invisible in both the newspapers during the selected time period. The few articles published on or quoting women were mostly cliched, lacked critical analysis and stereotyped them. An unexpected but equally important finding of the research sheds some light on the why of female election candidates' invisibility in the dailies during the election. The data show the extensive prominence Fiji's print media gave to race and coup-related issues as elections drew near, crowding out reportage of other major issues. Because of the fixation on race, the media overlooked many important issues, such as the fact that in all elections since independence, women have managed to secure fewer than 12 percent of parliamentary seats, even though they make up nearly half of the total population of the country. Such debates are rarely raised in the media.
Irrationale Überzeugungen und Paranoia

Zusammenfassung Irrationale Überzeugungen, Paranoia und Wahn stellen zum Teil überlappende, schwer von einander abgrenzbare Begriffe dar. Während Wahn als zentrales Symptom psychotischer Erkrankungen angesehen wird, kennzeichnen irrationale Überzeugungen und Paranoia Phänomene, die einerseits aus normalpsychologischen Prozessen heraus zu verstehen sind, andererseits Vulnerabilitätsfaktoren für die Entwicklung psychischer Erkrankungen repräsentieren. Es liegen zahlreiche Hinweise vor, dass die Annahme dichotom kategorialer An- vs. Abwesenheit paranoiden Wahns zugunsten eines kontinuierlichen Übergangs von irrationalen Überzeugungen über paranoide Gedanken hin zum paranoiden Wahn verändert werden kann. Die vorliegende Arbeit stellt eine deutschsprachige Skala zur Erfassung paranoiden Denkens zur Verfügung und liefert Daten, die die Hypothese eines kontinuierlichen Übergangs stützen.
New extremal self-dual codes of length 62 and related extremal self-dual codes

New extremal self-dual codes of length 62 are constructed with weight enumerators of three different types. Two of these types were not represented by any known code up till now. All these codes possess an automorphism of order 15. Some of them are used to construct extremal self-dual codes of length 60 by the method of subtracting. By additional subtracting, an extremal self-dual [58, 29, 10] code was obtained having a weight enumerator which does not correspond to any code known so far.
Simulating Knowledge and Information in Pedestrian Egress

Accurate pedestrian simulation is a difficult yet important task. One of the main challenges with pedestrian simulation is providing the simulated pedestrians with appropriate amounts of route knowledge to be used in the route selection algorithm. In this paper, we propose a novel use of reinforcement learning as a means to represent different amounts of route knowledge. Using this techniques we show the impact learning about route distances and average route congestion levels has upon the egress time of pedestrians. We also look at the effect that dynamic congestion information has upon the efficiency of pedestrian egress.
Fetal cerebrovascular response to chronic hypoxia—implications for the prevention of brain damage

Fetal hypoxia is one of the leading causes of perinatal morbidity and mortality. One of the most severe sequels of fetal hypoxic insult is the development of perinatal brain lesions resulting in a spectrum of neurological disabilities, from minor cerebral disorders to cerebral palsy. One of the most important fetal adaptive responses to hypoxia is redistribution of blood flow towards the fetal brain, known as the ‘brain sparing effect’. The fetal blood flow redistribution in favor of the fetal brain can be detected and quantified by the Doppler cerebral/umbilical ratio (C/U ratio = cerebral resistance index (CRI)/umbilical resistance index (URI)). Our studies on animal models and human fetuses have demonstrated clearly that this phenomenon cannot prevent the development of perinatal brain lesions in the case of severe or prolonged hypoxia. Fetal deterioration in chronic and severe hypoxia is characterized by the disappearance of the physiological cerebral vascular variability (vasoconstriction and vasodilatation), followed by an increase in cerebral vascular resistance. However, our latest study on growth-restricted and hypoxic human fetuses has shown that perinatal brain lesions can develop even before the loss of cerebrovascular variability. The fetal exposure to hypoxia can be quantified by using a new vascular score, the hypoxia index. This parameter, which takes into account the degree as well as duration of fetal hypoxia, can be calculated by summing the daily % C/U ratio reduction from the cut-off value 1 over the period of observation. According to our results, the use of this parameter, which calculates the cumulative, relative oxygen deficit, could allow for the first time the sensitive and reliable prediction and even prevention of adverse neurological outcome in pregnancies complicated by fetal hypoxia.
Flexicurity: A New Paradigm for the Analysis of Labor Markets and Policies Challenging the Trade-Off Between Flexibility and Security

The aim of the article is to discuss the concept of flexicurity presented as a new paradigm for analyzing modern labor markets (analytical perspective) and as a metaphor for policies striving for a better balance between flexibility and security (normative perspective). The purpose is to clarify these analytical and normative meanings of the flexicurity concept from a theoretical and empirical perspective. Flexicurity has been a policy strategy since 2005/2006 endorsed by the European Commission and put on top of the political agenda for the European Employment Strategy and EU 2020, the 10-year strategy of the EU. We briefly sketch the tenets of the flexicurity approach by discussing the main issues in the European academic and policy debate. We subsequently present empirical evidence based on the definition of dynamic outcome indicators for assessing the performance of 26 countries in the EU in balancing flexibility and security. The findings challenge the conventionally presumed trade-off between flexibility and security.
Development of Novel Therapeutic Agents by Inhibition of Oncogenic MicroRNAs

MicroRNAs (miRs, miRNAs) are regulatory small noncoding RNAs, with their roles already confirmed to be important for post-transcriptional regulation of gene expression affecting cell physiology and disease development. Upregulation of a cancer-causing miRNA, known as oncogenic miRNA, has been found in many types of cancers and, therefore, represents a potential new class of targets for therapeutic inhibition. Several strategies have been developed in recent years to inhibit oncogenic miRNAs. Among them is a direct approach that targets mature oncogenic miRNA with an antisense sequence known as antimiR, which could be an oligonucleotide or miRNA sponge. In contrast, an indirect approach is to block the biogenesis of miRNA by genome editing using the CRISPR/Cas9 system or a small molecule inhibitor. The development of these inhibitors is straightforward but involves significant scientific and therapeutic challenges that need to be resolved. In this review, we summarize recent relevant studies on the development of miRNA inhibitors against cancer.
Infinite SVM: a Dirichlet Process Mixture of Large-margin Kernel Machines

We present Infinite SVM (iSVM), a Dirichlet process mixture of large-margin kernel machines for multi-way classification. An iSVM enjoys the advantages of both Bayesian non-parametrics in handling the unknown number of mixing components, and large-margin kernel machines in robustly capturing local nonlinearity of complex data. We develop an efficient variational learning algorithm for posterior inference of iSVM, and we demonstrate the advantages of iSVM over Dirichlet process mixture of generalized linear models and other benchmarks on both synthetic and real Flickr image classification datasets.
Comparison of 2 methods to correct for peripheral nitric oxide exchange in the lungs.

BACKGROUND AND OBJECTIVE Two methods have been developed to account for the impact of airway nitric oxide (NO) production on alveolar NO (CANO) concentration. In the first (Condorelli method), CANo is corrected using bronchial NO flux (J'awNo) values, whereas in the second (Kerckx method), knowledge of the exhaled NO concentration at a flow of 50 ml/s (FENosO) is required. The aim of the present study was to determine the influence of each correction method on CANo values. METHODS Ninety-one adults (27 asthmatics, 46 patients with allergic rhinitis, and 18 healthy volunteers) were studied. FENO50 was obtained according to a standardized method and exhaled NO was measured at multiple flows (100, 200, and 300 ml/s). CANO was adjusted for the trumpet shape of the airway tree and axial diffusion from central to peripheral airways using both the Condorelli and Kerckx methods. RESULTS The mean (95% CI) CANO value obtained with the Condorelli method was 1.27 ppb (0.93-1.60), compared to 0.87 ppb (0.55-1.19, P<.001) with the Kerckx method. Differences in CANO values obtained with each method were identified in individuals with high FENO50 values (n=55) and in those with normal FENO50 values (n=36), but were significantly greater in the first group (P=.01). CONCLUSIONS Our findings suggest that CANO values obtained with the 2 methods reported to adjust for the trumpet shape of the airway tree and axial diffusion from central to peripheral airways are not equivalent and cannot be used interchangeably.
A Circuit for Determining the Optimal Supply Voltage to Minimize Energy Consumption in LSI Circuit Operations

We have developed a circuit for determining an optimal supply voltage, VOPT, for which energy consumption will be minimized in devices suffering from high-leakage. This VOPT is determined on the basis of a trade-off between power consumption and operation time. Experimental results with a 90-nm CMOS device indicate that the proposed circuit successfully determines VOPT with high accuracy. VOPT operations with power gating at 40 MHz, and where VDD = 0.67 V, results in an energy reduction of 52.8% over that achieved with DVFS alone at 5 MHz (1/20 of maximum operational frequency). Further, we propose a scheme for suppressing determination error, one that results in voltage error of less than 50 mV.
Muscle force-length dynamics during level versus incline locomotion: a comparison of in vivo performance of two guinea fowl ankle extensors

SUMMARY For a terrestrial animal to move in the complex natural environment, the limb muscles must modulate force and work performance to meet changing mechanical requirements; however, it is not clear whether this is accomplished via a collective shift in function by all limb muscles, or a division of labor among limb muscles. Do muscles differ in their ability to modulate force-length contractile function to meet the mechanical demands of different locomotor tasks? We explore this question by examining the in vivo force-length performance of the guinea fowl Numida meleagris lateral gastrocnemius (LG) and digital flexor-IV (DF-IV), during level and incline locomotion. During level locomotion, the LG and DF-IV exhibit differing muscle fascicle strain patterns: the LG shortens by 10-15% while developing force, whereas the DF-IV undergoes a stretch-shorten cycle with large strain amplitudes and small net strains of 1-8%. Furthermore, the DF-IV operates at higher muscle stresses (92-130 kPa, compared to 23-39 kPa for LG) and possesses a longer tendon, which allows the DF-IV tendon to recover greater elastic energy than the LG tendon. During incline locomotion, these muscles contribute only one-third of the energy expected for their mass, with the DF-IV exhibiting high stride-to-stride variability in work output. While the stretch-shorten cycle of the DF-IV muscle may allow more economic force production, it also leads to large changes in work output with small changes in the relative timing of force and strain. Thus, while the primary determinants of LG work are net strain and mean force, the primary determinant of DF-IV work is the phase relationship between force and strain. Our results suggest that, in addition to influencing a muscle's mechanical performance during steady level locomotion, morphology also affects its capacity and mechanism for altering work output for different locomotor tasks.
The effect of type 2 diabetes mellitus on the presentation and treatment response of pulmonary tuberculosis.

BACKGROUND Diabetes mellitus (DM) is a known risk factor for tuberculosis (TB), and with the increasing prevalence of type 2 DM in less developed regions, many patients with TB will have concomitant DM. Presently, little is known about the effect of DM on the clinical presentation and treatment outcome of TB. METHODS In an urban setting in Indonesia, 737 patients with pulmonary TB were screened for DM and were followed up prospectively during TB treatment. Clinical characteristics and outcome were compared between patients with TB who had DM and patients with TB who did not have DM. RESULTS DM was diagnosed in 14.8% of patients with TB and was associated with older age and a greater body weight. On presentation, diabetic patients with TB had more symptoms but had no evidence of more-severe TB. After 2 months, results of sputum microscopic examination was more often positive in diabetic patients (18.1% vs. 10.0%). After 6 months, 22.2% of cultured sputum specimens from diabetic patients were positive for Mycobacterium tuberculosis (adjusted odds ratio, 7.65; P=.004). CONCLUSION DM seems to have a negative effect on the outcome of TB treatment. The underlying mechanisms for the different response to treatment in diabetic patients with TB must be explored. Screening for DM and subsequent glycemic control may improve the outcome of TB treatment.
ANÁLISE COMPARATIVA ENTRE EXPANSÃO DOS CURSOS DE SERVIÇO SOCIAL EAD E PRESENCIAIS

O presente trabalho objetiva apreender o ritmo de crescimento dos cursos de Servico Social ofertados na modalidade EaD, comparando-o com o dos cursos presenciais, buscando problematizar a participacao de tais cursos (EaD) no processo formativo dos assistentes sociais brasileiros. Para a consecucao do objetivo proposto, foram utilizados dados estatisticos extraidos das Sinopses da Educacao Superior, disponibilizadas pelo Instituto Nacional de Estudos e Pesquisas Educacionais Anisio Teixeira (INEP), referentes aos anos de 2006 a 2012. Os dados extraidos e analisados sao os seguintes: (i) quantitativo de cursos; (ii) vagas ofertadas; (iii) matriculas; (iv) ingressantes; e (v) concluintes. A partir da extracao dos dados, produziram-se graficos com o objetivo de possibilitar a visualizacao do ritmo de crescimento de tais cursos, em comparacao com os cursos presenciais. Alem disso, problematizou-se o ritmo do crescimento dos cursos de Servico Social na modalidade EaD, frente aos cursos presenciais, indicando possiveis tendencias para a formacao e o exercicio profissional.
Improvement of scatter search using Bees Algorithm

The Scatter Search is one of the population-based metaheuristics, which can be used to solve a wide range of problems including Traveling Salesman Problem (TSP), Routing Protocol, and End-to-End QoS , while Bees Algorithm can be applied to optimize the solution of these problems. In this paper, an improved Scatter Search algorithm based on Bees Algorithm has been presented. The improvement provides Scatter Search with random exploration for search space of problem and more of intensification for promising solutions. The original and improved Scatter Search has been tested on Traveling Salesman Problem. A computational experiment with benchmark instances is reported. The results demonstrate that the improved Scatter Search algorithm produces better performance than original Scatter Search algorithm. The developed algorithm has been compared with other algorithms for the same problem, and the result was competitive with some algorithm and insufficient with another.
Effects of sirolimus on plasma lipids, lipoprotein levels, and fatty acid metabolism in renal transplant patients DOI 10.1194/jlr.M100392-JLR200

Sirolimus (Rapammune®, rapamycin, RAPA) is a potent immunosuppressive drug that reduces renal transplant rejection. Hyperlipidemia is a significant side effect of sirolimus treatment, and frequently leads to cardiovascular disease. This study was undertaken to determine the repeatability, reversibility, and dose dependence of the plasma lipid and apolipoprotein altering effects of sirolimus, and to elucidate the mechanism by which sirolimus induces hypertriglyceridemia in some renal transplant patients. Six patients with renal allografts maintained on cyclosporine A and prednisone were selected on the basis of their previous hyperlipidemic response to short term (14 days) sirolimus administration. For longer-term treatment, each patient was started on 10 mg/day sirolimus and continued as tolerated for 42 days to reinduce hyperlipidemia. Timed blood samples were analyzed for lipid, apolipoprotein, and sirolimus levels. During sirolimus administration, mean total plasma cholesterol increased from 214 mg/dl to 322 mg/dl (+50%; range 25–92%); LDL-cholesterol levels followed a similar pattern. Mean triglyceride level rose from 227 to 432 mg/dl (+95%; range 9–254%). ApoB-100 concentration rose from 124 to 160 mg/dl (+28%; P < 0.05). ApoC-III level increased from 28.9 to 55.5 mg/dl, +92%; (P < 0.013). These lipid and apolipoprotein changes were found to be repeatable, reversible, and dose dependent. [13C4]palmitate metabolic studies in four patients with hypertriglyceridemia indicated that the free fatty acid pool was expanded by sirolimus treatment (mean = 42.3%). Incorporation of [13C4]palmitate into triglycerides of VLDL, IDL, and LDL was decreased 38.3%, 42,1%, and 38.4%, respectively, by sirolimus treatment of these patients. These results suggest that sirolimus alters the insulin signaling pathway so as to increase adipose tissue lipase activity and/or decrease lipoprotein lipase activity, resulting in increased hepatic synthesis of triglyceride, increased secretion of VLDL, and increased hypertriglyceridemia.
DiANNA 1.1: an extension of the DiANNA web server for ternary cysteine classification

DiANNA is a recent state-of-the-art artificial neural network and web server, which determines the cysteine oxidation state and disulfide connectivity of a protein, given only its amino acid sequence. Version 1.0 of DiANNA uses a feed-forward neural network to determine which cysteines are involved in a disulfide bond, and employs a novel architecture neural network to predict which half-cystines are covalently bound to which other half-cystines. In version 1.1 of DiANNA, described here, we extend functionality by applying a support vector machine with spectrum kernel for the cysteine classification problem—to determine whether a cysteine is reduced (free in sulfhydryl state), half-cystine (involved in a disulfide bond) or bound to a metallic ligand. In the latter case, DiANNA predicts the ligand among iron, zinc, cadmium and carbon. Available at: .
Color and sound in algorithm animation

The techniques developed by M. M. Brown and R. Sedgewick (1985) in using the Balsa algorithm-animation system are reviewed. Techniques that focus on color and sound, areas just opening up in workstation-based interactive algorithm-animation systems, are described. Color is used for encoding the state of data structures, highlighting activity, trying multiple views together, emphasizing patterns, and making an algorithm's history visible in a single static image. Sound is used for reinforcing visuals, conveying patterns, replacing visuals, and signaling exceptional conditions. The techniques are based on work done with the Zeus algorithm-animation system. Six screen dumps from six different algorithm animations that are representative of the was Zeus was used are presented. <<ETX>>