Miracle-dz/UniFAR-FTUs huggingface dataset:
Human Tip60 (NuA4) Complex and Cancer

Recent publications implicate human Tip60 (NuA4) complex in colorectal and other cancers. Our lab and others discovered deregulations in the components of human Tip60 (NuA4) complex in advanced colon cancers, and the functional significance and the potential as a therapeutic target, has been investigated. Human Tip60 (NuA4) complex likely represents a fusion form of yeast NuA4 and SWR1 complexes, and the functions seem to be evolutionarily preserved. This notion has greatly contributed in understanding functions of human Tip60 (NuA4) complex. The Tip60 (NuA4) complex is a multiprotein complex with at least 16 subunits. It is thought to function in at least two ways; (a) as a chromatin remodeling factor, it controls chromatin structure and transcription through its Histone Acetyl Transferase (HAT) activity, and (b) it controls activities of other nonhistone proteins, such as metabolic enzymes, through protein acetylation. Through the enzymatic activity and other interactions, Tip60 (NuA4) complex is involved in wide variety of cellular functions, including transcriptional activation, DNA repair, cell cycle progression, chromosome stability, stem cell maintenance and differentiation, and cell migration and invasion. This review will discuss functions of Tip60 (NuA4) complex, consequences of the defect in the subunit, its connection to human cancer, and its potential as a therapeutic target in clinic.
Luister naar mij

De traditionele muziekindustrie, die gedomineerd wordt door The Big Four (de grote platenmaatschappijen Universal Music Group, EMI, Sony-BMG en Warner) is momenteel aan verandering onderhevig door de komst van de nieuwe media en door de bredere reikwijdte die de media vandaag de dag hebben. Naast de traditionele media zoals radio, televisie en geschreven media is er nu ook een digitale manier om de consumenten te bereiken. Voor opkomende en beginnende muzikanten biedt dit nieuwe mogelijkheden om zichzelf onder de aandacht te brengen van het publiek en de gatekeepers in de muziekindustrie. Dit onderzoek moet meer inzicht bieden in de publiciteitsstrategieen die opkomende en beginnende muzikanten gebruiken om aandacht te verkrijgen en om carrieresucces te behalen. Er zijn diepteinterviews gehouden met 12 beginnende en opkomende muzikanten. Hieruit blijkt dat zij het idee hebben dat de komst van nieuwe media hen meer mogelijkheden biedt om zichzelf onder de aandacht te brengen. Ze kunnen echter geen concrete voorbeelden geven waaruit blijkt dat de nieuwe media hun bekendheid vergroten. Het is meer een conventie, dan iets wat concreet resultaat oplevert. zien de eigen website als belangrijke promotionele factor, omdat dit fungeert als visitekaartje. De eigen site, Facebook, YouTube en Hyves zijn de meest gebruikte online kanalen. De promotionele focus ligt niet bij online magazines, blogs, e.d. De muzikanten hebben in de meeste gevallen geen vooropgesteld publiciteitsplan, maar ontwikkelen dit gaandeweg. Tijdgebrek belemmert hen in de meeste gevallen bij het ontwikkelen van publiciteitsstrategieen. Het blijkt dat hulp van een derde persoon, zoals een plugger of manager, zeer wenselijk is, omdat dit professioneler overkomt. Zelf de traditionele media benaderen is zeer tijdrovend en vrijwel nooit succesvol. Ondanks de mogelijkheden die het internet biedt is publiciteit in de traditionele media nog altijd zeer belangrijk bij het vooruithelpen van de carrieres van muzikanten. De nieuwe media helpen voornamelijk bij het vergroten van de achterban, maar zorgen zelden voor aandacht vanuit de industrie. Wanneer ze de aandacht van de traditionele media willen verkrijgen brengen zij vaak informatie naar buiten in de vorm van referenties. De muzikanten brengen alleen informatie naar buiten die gerelateerd is aan hun muziek. De informatie die zij via de nieuwe media naar buiten brengen gaat over hun vorderingen op muzikaal gebied. Over het algemeen wordt aan de traditionele media meer waarde gehecht dan aan de nieuwe media. Doordat de aandacht in de traditionele media ontstaat doordat programmeurs, dj’s of redacties interesse tonen, heeft dit meer effect dan de laagdrempelige, nieuwe media waarop artiesten zichzelf kunnen promoten. Muzikanten moeten gesteund worden door meerdere media om te spreken van vooruitgang in de carriere. Meedoen aan talentenjachten blijkt een van de meest succesvolle manieren te zijn om aandacht van de media, industrie en het publiek te verkrijgen.
On probability-based inference under data missing by design

Whether a statistician wants to complement a probability model for observed data with a prior distribution and carry out fully probabilistic inference, or base the inference only on the likelihood function, may be a fundamental question in theory, but in practice it may well be of less importance if the likelihood contains much more information than the prior. Maximum likelihood inference can be justified as a Gaussian approximation at the posterior mode, using flat priors. However, in situations where parametric assumptions in standard statistical models would be too rigid, more flexible model formulation, combined with fully probabilistic inference, can be achieved using hierarchical Bayesian parametrization. This work includes five articles, all of which apply probability modeling under various problems involving incomplete observation. Three of the papers apply maximum likelihood estimation and two of them hierarchical Bayesian modeling. Because maximum likelihood may be presented as a special case of Bayesian inference, but not the other way round, in the introductory part of this work we present a framework for probability-based inference using only Bayesian concepts. We also re-derive some results presented in the original articles using the toolbox equipped herein, to show that they are also justifiable under this more general framework. Here the assumption of exchangeability and de Finetti’s representation theorem are applied repeatedly for justifying the use of standard parametric probability models with conditionally independent likelihood contributions. It is argued that this same reasoning can be applied also under sampling from a finite population. The main emphasis here is in probability-based inference under incomplete observation due to study design. This is illustrated using a generic two-phase cohort sampling design as an example. The alternative approaches presented for analysis of such a design are full likelihood, which utilizes all observed information, and conditional likelihood, which is restricted to a completely observed set, conditioning on the rule that generated that set. Conditional likelihood inference is also applied for a joint analysis of prevalence and incidence data, a situation subject to both left censoring and left truncation. Other topics covered are model uncertainty and causal inference using posterior predictive distributions. We formulate a non-parametric monotonic regression model for one or more covariates and a Bayesian estimation procedure, and apply the model in the context of optimal sequential treatment regimes, demonstrating that inference based on posterior predictive distributions is feasible also in this case.
TESTING FOR HERDING BEHAVIOR OF AFTERMARKET OF IPO (INITIAL PUBLIC OFFERING) IN INDONESIA STOCK EXCHANGE

This research is aimed to test the aftermarket IPO herding that listed on Indonesia Stock Exchange. The sample in this research is company that do IPO from year 2006-2015. The test used monthly closing price data using Christie and Huang (1995) method, Cross Sectional Standard Deviation (CSSD) or return dispersion to measure herding behavior. Testing herding tested on two market conditions, namely up market and down market. Where the u p market means the stock market (or the main market index) is trading higher than some particular point in the past. Down market conditions mean otherwise. The result of the research shows that there is herding in both market condition, up market and down market which is indicated by the spread of lower return on the market up market and down market. Keywords: Herding Behavior, Return Dispersion, IPO
Should the SARB Have Stayed Time Inconsistent

This paper derives the econometric restrictions imposed by the Barro and Gordon (1983) model of dynamic time inconsistency on a bivariate time-series model of Consumer Price Index (CPI) inflation and real Gross Domestic Product (GDP), and tests these restrictions based on quarterly data for South Africa covering the period of 1960:01 through 1999:04, i.e., for the pre-inflation targeting period. The results show that the data are consistent with the short- and long-run implications of the theory of time-consistent monetary policy. Moreover, when the model is used to forecast one-step-ahead inflation over the period of 2001:01 to 2008:02, i.e., the period covering the starting point of the inflation targeting regime till date we, on average, obtain lower rates of inflation. The result tends to suggest that the South African Reserve Bank (SARB), perhaps needs to manage the inflation targeting framework better than it has done so far.
FPGA-Based Acceleration of Expectation Maximization Algorithm Using High-Level Synthesis

Expectation Maximization (EM) is a soft clustering algorithm which partitions data iteratively into M clusters. It is one of the most popular data mining algorithms that uses Gaussian Mixture Models (GMM) for probability density modeling and is widely used in applications such as signal processing and Machine Learning (ML). EM requires high computation time when dealing with large data sets. This paper presents an optimized implementation of EM algorithm on Stratix V and Arria 10 FPGAs using Intel FPGA Software Development Kit (SDK) for Open Computing Language (OpenCL). Comparison of performance and power consumption between Central Processing Unit (CPU), Graphics Processing Unit (GPU) and FPGA is presented for various dimension and cluster sizes. Compared to Intel® Xeon® CPU E5-2637, our fully optimized OpenCL model for EM targeting Arria 10 FPGA achieved up to 1000x speedup in terms of throughput (T) and 5395x speedup in terms of throughput per unit of power consumed (T/P). Compared to previous research on EM-GMM implementation on GPUs, Arria 10 FPGA obtained up to 64.74x speedup (T) and 486.78x speedup (T/P).
Arsenic in Groundwater: A Review of Current Knowledge and Relation to the CALFED Solution Area with Recommendations for Needed Research

Ground water with arsenic concentrations greater than the U.S. Environmental Protection Agency drinking water standard exists throughout much of the CALFED solution area. These high concentrations are of con-cern from the standpoint of both existing water supply and development of conjunctive use projects. Much is known about arsenic mobility in ground water subject to different hydrologic and geochemical conditions. However, some important knowledge gaps exist that limit the ability to design water supply projects that could prevent arsenic mobilization or promote arsenic removal from ground water. A few well studied sys-tems could provide a much better understanding of methods for preventing or eliminating high arsenic problems. Within the context of the examination of a few detailed field studies, some important research needs include: 1. ) Determining the significance of metal-bridging aqueous complexes involving inorgan-ic arsenic and natural organic matter, 2. ) In the con-text of in situ remediation, determining whether of metal oxides. Little is known about the quantitative significance competition of inorganic arsenic with other inorganic aqueous species in natu-ral systems. Experiments should be conducted with actual aquifer materials, as the effects of aging on arsenic desorption in laboratory studies are quite sig-nificant. 3. ) Devise methods to detect and quantify rates of oxidation/reduction reactions of arsenic that are carried out by microorganisms at ambient concen-trations of arsenic and under in situ conditions. The findings from detailed field studies have the potential for greatly reducing the cost of meeting the new drinking-water standard for arsenic. The research would benefit a broad constituency.
Dental and tarsal morphology of the European Paleocene/Eocene “condylarth” mammal Microhyus

New dental and postcranial remains of the alleged louisinine hyopsodontid “condylarth” Microhyus from the European Paleocene/Eocene transition are described, and prompt a reevaluation of the genus. New specimens belonging to Microhyus musculus from Dormaal (MP7, Belgium ) provide the first evidence of the lower dentition of the type species. We describe M. musculus? from Pourcy (MP7, France) and cf. Microhyus sp. from Berru (MP6a, France). A rich original assemblage of M. reisi from Silveirinha (MP7, Portugal ) allows a detailed description of the morphological dental variation within that species. Well-preserved astragali and calcanei from Silveirinha can be confidently attributed to Microhyus reisi. Functional analysis of these elements suggests that Microhyus was a terrestrial mammal capable of rapid running or jumping. The pedal morphology of Microhyus is very similar to that of Paschatherium. These louisinines share some derived characters with the hyopsodontids Apheliscus and Haplomylus (e.g., the occurrence of a cotylar fossa on the astragalus) but they differ from Hyopsodus. Therefore, in view of the pedal morphology alone, the hyopsodontids may be polyphyletic. Given the dental similarities between Microhyus and the early representatives of the order Macroscelidea, we compared the tarsal morphology of louisinines with that of modern macroscelidids (Paleogene tarsal remains are currently unknown for this group). Macroscelidids and louisinines present some similarities in their astragalar morphology; however, the macroscelidid astragalus appears to be too specialized to be compared with that of Microhyus and Paschatherium.
Turkish Speech Recognition Based On Deep Neural Networks

In this paper we develop a Turkish speech recognition (SR) system using deep neural networks and compare it with the previous state-of-the-art traditional Gaussian mixture model-hidden Markov model (GMM-HMM) method using the same Turkish speech dataset and the same large vocabulary Turkish corpus. Nowadays most SR systems deployed worldwide and particularly in Turkey use Hidden Markov Models to deal with the speech temporal variations. Gaussian mixture models are used to estimate the amount at which each state of each HMM fits a short frame of coefficients which is the representation of an acoustic input. A deep neural network consisting of feed-forward neural network is another way to estimate the fit; this neural network takes as input several frames of coefficients and gives as output posterior probabilities over HMM states. It has been shown that the use of deep neural networks can outperform the traditional GMM-HMM in other languages such as English and German. The fact that Turkish language is an agglutinative language and the lack of a huge amount of speech data complicate the design of a performant SR system. By making use of deep neural networks we will obviously improve the performance but still we will not achieve better result than English language due to the difference in the availability of speech data. We present various architectural and training techniques for the Turkish DNN-based models. The models are tested using a Turkish database collected from mobile devices. In the experiments, we observe that the Turkish DNN-HMM system have decreased the word error rate approximately 2.5% when compared to the GMM-HMM traditional system.
Toxicity of Zinc Dissolved In Saigon River to the Tropical Micro-Crustacean Daphnia Lumholtzi

In this study we evaluated the responses of the tropical micro-crustacean, Daphnia lumholtzi , to zinc (Zn). For a more environmentally realistic assessment on the Zn toxicity, water sample collected from Saigon River was used as medium for the daphnids and Zn was spiked into field water for exposures. River water was physically and chemically measured and analyzed, and the sufficient water quality was confirmed prior to be used for the acute and chronic experiments. Metal concentrations in the test water were determined with an inductively coupled plasma/ mass spectrometry (ICP/MS). In the acute test implementation, Zn concentrations were from 67 – 360 µg/L. In the chronic experiments, the animals were incubated in control (filtered field water only) or filtered field water added with Zn (28, 46, and 75 µg/L) over the period of 14 days. The life history traits of daphnids including the survival, maturation, reproduction were daily observed. The results showed that the value of median lethal concentrations (48h-LC 50 ) was 136 µg Zn/L (95% CI = 107 – 165 µg Zn/L). Chronic exposures revealed that Zn caused the survival reduction, delayed maturity age and reproduction decrease. Our study suggested D. lumholtzi as a very good freshwater aquatic zooplankton for assessment on the toxicity of metals in tropics. Besides, the Vietnam guideline values regarding Zn should be re-considered and adjusted for the aquatic ecological protection.
Electrochemical Polymerization of PPy-MWCNT composite as a Counter Electrode for Dye-sensitized Solar Cells

Polypyrrole (PPy) - multi wall carbon nanotube (MWCNT) nanocomposites were synthesized by using in situ electrochemical polymerization with different COOH-functionalized MWCNTs. The PPY-MWCNT composites were used as counter electrode in the fabrication of dye sensitized solar cells (DSCs). Compared to the DSC device with PPy counter electrode, the devices with PPY/MWCNT composite electrode offer much higher total photovoltaic conversion efficiency due to the reduced series resistance. These PPY/MWCNT nanocomposite materials proved to be a good alternate to the expensive Pt as counter electrode in DSC.
A review on the role of extension service for agricultural transformation with particular emphasis on Ethiopia

Transforming Ethiopian agriculture from its current subsistence orientation into market orientated production system forms the basis of the agricultural development strategy of the government of Ethiopia. The agricultural extension service is one of the institutional support services that have a central role to play in the transformation process. Agricultural extension in Ethiopia has remained one of the prime movers in the development of agriculture and invariably in the rural development. This paper reviewed the role of extension services in the development of agriculture and rural transformation in Ethiopia. It is the belief of this paper that no nation will have real growth in the agricultural sector without effective extension service. It is also the belief of this paper that total eradication of agricultural development problems can be achieved through extension service approach if the role of extension is properly conceived and effectively administered.
Estimation of genetic parameters for growth traits in Canchim cattle with finite models

The objectives of this work were to evaluate different models, regarded to considered maternal effects, for growth traits and to estimate genetic parameters for these traits in Canchim breed bovine, by one, two and multitrait analyses. The weight traits at birth, at weaning, standardized weight for 12, 18, 24 and 30 months of age in males and females, and mature female weight were analyzed using four models with random effects added in sequence. Maternal effects influenced birth weight at 2 years of age and weaning weight was the most affected by maternal effects. Direct heritability estimates obtained by twoand multitrait analyses were higher than those obtained through one-trait analyses. Estimates of direct genetic effect heritability obtained using multi-trait analyses were 0.39 for weight at birth; 0.31 for weight at weaning; 0.29 for weight at 12 months of age; 0.28 for weight at 18 months of age; 0.26 for weight at 24 months of age; 0.30 for weight at 30 months of age and 0.38 for weight at mature age. Genetic correlations estimated among weights at early ages and mature weight were high, above 0.79. Selection based on growth traits at any age can promote intermediate genetic gains on the body weight of Canchim breed animals at all standard ages, including weight at birth and at mature age of females. It is important to consider in the analyses the weights previous to selection to estimate genetic parameters for weights after selection. Multitrait analyses is the best indicated.
Callus Induction through Anther and Ovary of Kenaf (Hibiscus cannabinus L.)

In this research new protocol has been developed that would induce callus from anther and ovary of Kenaf. The haploid technique is a fast and efficient tool for developing new varieties in a comparatively short time. The present study was carried out to investigate the effect of cold treatment, plant growth regulators (PGR) and culture condition on callus induction from Kenaf anther and ovary culture. Kenaf HF992 cultivar was chosen as an explants material, several trails were carried out to investigate the Androgenesis and gynogenesis ability before we succeed to get high percentage of callus. Flower buds at the appropriate stage of anther and ovary development were sterilized and the anthers and ovary were carefully excised from the flowers and underwent to various pretreatments and inoculated into media contained different combinations of PGR like NAA(anaphthaleneacetic acid), BAP(N6-benzyladenine), 2iP(N6-(2-Isopentenyl) adenine) and TDZ (Thidiazuron)and kept in the dark place for different periods before transferred to light conditions. The best callus induction frequency from anther was 90.00 % in the optimized MS medium fortified with 3.0 mg/l 2iP + 3.0 mg/l NAA at the stage the microspores were at the uninucleate stage and the anther was about 7±1 mm long collected. And the best callus induction frequency from ovary was 91.25% in the optimized semi solid MS medium fortified with 3.0 mg/l 2iP + 3.0 mg/l NAA, and the flower buds was about 24±1 mm length which was collected 3-5 weeks after flower initiation. The effect of culture condition was highly significant, the root induction was highest (83.75% & 87.50%) of anther and ovary respectively when it kept in dark place for 28 days.
Context-Aware Automatic Code Segment Extraction and Refactoring in Object-Oriented Systems

Refactoring is a very important technology to improve the reusability and maintainability of existing code, and it is widely used in software development. In order to extract the code segment into a new method easily and cover the shortage of Eclipse in refactoring, the method of Context-Aware Automatic Code Segment Extraction and Refactoring (CAACSER) is proposed. By analyzing the context of the code, the input parameter class, and the output parameter class are introduced to handle complex code segments. The experimental results show that the CAACSER effectively solves some problems and drawbacks of many existing tools in code segment extraction, which acts as a basic step for realizing automatic and semi-automatic refactoring methods. The visualization tool of CAACSER can also carry out reasonable optimizations of the code without changing the systems’ behaviors.