Miracle-dz/UniFAR-FTUs huggingface dataset:
Differential actions of the proneural genes encoding Mash1 and neurogenins in Nurr1-induced dopamine neuron differentiation

The steroid receptor-type transcription factor Nurr1 has a crucial role in the development of the mesencephalic dopamine (DA) neurons. Although ectopic expression of Nurr1 in cultured neural precursor cells is sufficient in establishing the DA phenotype, Nurr1-induced DA cells are morphologically and functionally immature, suggesting the necessity of additional factor(s) for full neuronal differentiation. In this study, we demonstrate that neurogenic basic helix-loop-helix (bHLH) factors Mash1, neurogenins (Ngns) and NeuroD play contrasting roles in Nurr1-induced DA neuronal differentiation. Mash1, but not Ngn2, spatially and temporally colocalized with aldehyde dehydrogenase 2 (AHD2), a specific midbrain DA neuronal progenitor marker, in the early embryonic ventral mesencephalon. Forced expression of Mash1 caused immature Nurr1-induced DA cells to differentiate into mature and functional DA neurons as judged by electrophysiological characteristics, release of DA, and expression of presynaptic DA neuronal markers. By contrast, atonal-related bHLHs, represented by Ngn1, Ngn2 and NeuroD, repressed Nurr1-induced expression of DA neuronal markers. Domain-swapping experiments with Mash1 and NeuroD indicated that the helix-loop-helix domain, responsible for mediating dimerization of bHLH transcription factors, imparts the distinct effect. Finally, transient co-transfection of the atonal-related bHLHs with Nurr1 resulted in an E-box-independent repression of Nurr1-induced transcriptional activation of a reporter containing Nurr1-binding element (NL3) as well as a reporter driven by the native tyrosine hydroxylase gene promoter. Taken together, these findings suggest that Mash1 contributes to the generation of DA neurons in cooperation with Nurr1 in the developing midbrain whereas atonal-related bHLH genes inhibit the process.
The privacy protection study against incremental updates

Static privacy protection technologies available are not well protected already published data, and dynamic protection technology is becoming a research hotspot. In this paper we propose an effective method of privacy protection based on dynamic protection technology, analyzing how inferences from multiple releases may temper the category of privacy and resolving the problems of privace loss of inference tables be made of multiple releases tables. Using space-filling curve to multi-dimensional quasi-identifiers into a one-dimensional quasi-identifiers, solving the situation of a high degree of information loss. Experiments not only show that the running time of this method is linear time but also show that the method can guarantee k-anonymity and l-diversity of many published tables.
Laser-induced periodic structures on polymers for the formation of gold or silver nanowires showing pronounced plasmon resonances

Ripples, also denoted as laser-induced periodic surface structures (LIPSS), are frequently observed coherent structures in laser surface processing. For polyethylene terephthalate (PET), LIPSS can be induced by irradiation with linearly polarized ns-pulsed UV laser light at fluences well below the ablation threshold. The lateral period of the observed LIPSS is close to the wavelength λ divided by the effective index of refraction neff (~ 1.3). Gold or silver nanowires can be formed on top of the polymer structures by means of evaporation under an inclined angle. These separated nanowires exhibit localized surface plasmon resonances (SPR) in the VIS to NIR spectral region, overlapping with the so-called biological window. This together with the alignment of human cells on such LIPSS structures renders our nanowires as very promising candidates for biosensing applications.
Distributed Scheduler of Workflows with Deadlines in a P2P Desktop Grid

Scheduling large amounts of tasks in distributed computing platforms composed of millions of nodes is a challenging goal, even more in a fully decentralized way and with low overhead. Thus, we propose a new scalable scheduler for task workflows with deadlines following a completely decentralized architecture. It's built upon a tree-based P2P overlay that supports efficient and fast aggregation of resource availability information. Constraints for deadlines and the correct timing of tasks in workflows are guaranteed with a suitable distributed management of availability time intervals of resources. A local scheduler in each node provides its available time intervals to the distributed global scheduler, which summarizes them in the aggregation process. A two phase reservation protocol looks for suitable resources that comply with workflow structure and deadline. Experimental results, from simulations of a system composed of one million nodes, show scalable fast scheduling with low overhead that can allow a high dynamic usage of computational resources.
Title: Cholinesterase Inhibitors and Memory

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Nassau grouper (Epinephelus striatus) spawning aggregations: hydroacoustic surveys and geostatistical analysis

With the near extinction of many spawning aggregations of large grouper and snapper throughout the Caribbean, Gulf of Mexico, and tropical Atlantic, we need to provide baselines for their conservation. Thus, there is a critical need to develop techniques for rapidly assessing the remaining known (and unknown) aggregations. To this end we used mobile hydroacoustic surveys to estimate the density, spatial extent, and total abundance of a Nassau grouper spawning aggregation at Little Cayman Island, Cayman Islands, BWI. Hydroacoustic estimates of abundance, density, and spatial extent were similar on two sampling occasions. The location and approximate spatial extent of the Nassau grouper spawning aggregation near the shelf-break was corroborated by diver visual observations. Hydroacoustic density estimates were, overall, three-times higher than the average density observed by divers; however, we note that in some instances diver-estimated densities in localized areas were similar to hydroacoustic density estimates. The resolution of the hydroacoustic transects and geostatistical interpolation may have resulted in over-estimates in fish abundance, but still provided reasonable estimates of total spatial extent of the aggregation. Limitations in bottom time for scuba and visibility resulted in poor coverage of the entire Nassau grouper aggregation and low estimates of abundance when compared to hydroacoustic estimates. Although the majority of fish in the aggregation were well off bottom, fish that were sometimes in close proximity to the seafloor were not detected by the hydroacoustic survey. We conclude that diver observations of fish spawning aggregations are critical to interpretations of hydroacoustic surveys, and that hydroacoustic surveys provide a more accurate estimate of overall fish abundance and spatial extent than diver observations. Thus, hydroacoustics is an emerging technology that, when coupled with diver observations, provides a comprehensive survey method for monitoring spawning aggregations of fish.
Assessment of the Effect of Intestinal Permeability Probes (Lactulose And Mannitol) and Other Liquids on Digesta Residence Times in Various Segments of the Gut Determined by Wireless Motility Capsule: A Randomised Controlled Trial

Background Whilst the use of the mannitol/lactulose test for intestinal permeability has been long established it is not known whether the doses of these sugars modify transit time Similarly it is not known whether substances such as aspirin that are known to increase intestinal permeability to lactulose and mannitol and those such as ascorbic acid which are stated to be beneficial to gastrointestinal health also influence intestinal transit time. Methods Gastric and intestinal transit times were determined with a SmartPill following consumption of either a lactulose mannitol solution, a solution containing 600 mg aspirin, a solution containing 500 mg of ascorbic acid or an extract of blackcurrant, and compared by doubly repeated measures ANOVA with those following consumption of the same volume of a control in a cross-over study in six healthy female volunteers. The dominant frequencies of cyclic variations in gastric pressure recorded by the Smartpill were determined by fast Fourier transforms. Results The gastric transit times of lactulose mannitol solutions, of aspirin solutions and of blackcurrant juice did not differ from those of the control. The gastric transit times of the ascorbic acid solutions were significantly shorter than those of the other solutions. There were no significant differences between the various solutions either in the total small intestinal or colonic transit times. The intraluminal pHs during the initial quartiles of the small intestinal transit times were lower than those in the succeeding quartiles. This pattern did not vary with the solution that was consumed. The power of the frequencies of cyclic variation in intragastric pressure recorded by the Smartpill declined exponentially with increase in frequency and did not peak at the reported physiological frequencies of gastric contractile activity. Conclusions Whilst the segmental residence times were broadly similar to those using other methods, the high degree of variation between subjects generally precluded the identification of all but gross variation between treatments. The lack of any differences between treatments in either total small or large intestinal transit times indicates that the solutions administered in the lactulose mannitol test of permeability had no consistent influence on the temporal pattern of absorption. The negatively exponential profile and lack of any peaks in the frequency spectra of cyclic variation in gastric intraluminal pressure that were consistent with reported physiological frequencies of contractile activity profile suggests that the principal source of this variation is stochastic likely resulting from the effects of external events occasioned by normal daily activities on intra-abdominal pressure. Trial Registration Australian New Zealand Clinical Trials Registry ACTRN12615000596505
A Varactor-Tuned DVB-H Antenna

This paper presents a novel technique for the design of a varactor-tuned antenna for DVB-H (digital video broadcast-handheld) application. This solution is based on loaded planar inverted-F antenna (PIFA) design. Resonance frequency of the antenna is electrically controlled and thus wideband operation is achieved. A tuning circuit consisting of a varactor diode realizes the needed antenna tuning impedances. Proposed method is verified creating a tunable antenna that covers (470 - 750) MHz and fulfills the specified gain requirement.
Rapid Enzymatic Method for Pectin Methyl Esters Determination

Pectin is a natural polysaccharide used in food and pharma industries. Pectin degree of methylation is an important parameter having significant influence on pectin applications. A rapid, fully automated, kinetic flow method for determination of pectin methyl esters has been developed. The method is based on a lab-made analyzer using the reverse flow-injection/stopped flow principle. Methanol is released from pectin by pectin methylesterase in the first mixing coil. Enzyme working solution is injected further downstream and it is mixed with pectin/pectin methylesterase stream in the second mixing coil. Methanol is oxidized by alcohol oxidase releasing formaldehyde and hydrogen peroxide. This reaction is coupled to horse radish peroxidase catalyzed reaction, which gives the colored product 4-N-(p-benzoquinoneimine)-antipyrine. Reaction rate is proportional to methanol concentration and it is followed using Ocean Optics USB 2000+ spectrophotometer. The analyzer is fully regulated by a lab written LabVIEW program. The detection limit was 1.47 mM with an analysis rate of 7 samples h−1. A paired t-test with results from manual method showed that the automated method results are equivalent to the manual method at the 95% confidence interval. The developed method is rapid and sustainable and it is the first application of flow analysis in pectin analysis.
Hopscotch: Towards User Interface Composition

Hopscotch is the application framework and development environment of Newspeak, a new programming language and platform inspired by Smalltalk, Self and Beta. Hopscotch avoids a number of design limitations and shortcomings of traditional UIs and UI frameworks by favoring an interaction model and implementing a framework architecture that enable composition of interfaces. This paper discusses the deﬁciencies of the traditional approach, provides an overview of the Hopscotch alternative and analyses how it improves upon the status quo.
Pask integrates hormonal signaling with histone modification via Wdr5 phosphorylation to drive myogenesis

PAS domain containing protein kinase (Pask) is an evolutionarily conserved protein kinase implicated in energy homeostasis and metabolic regulation across eukaryotic species. We now describe an unexpected role of Pask in promoting the differentiation of myogenic progenitor cells, embryonic stem cells and adipogenic progenitor cells. This function of Pask is dependent upon its ability to phosphorylate Wdr5, a member of several protein complexes including those that catalyze histone H3 Lysine 4 trimethylation (H3K4me3) during transcriptional activation. Our findings suggest that, during myoblast differentiation, Pask stimulates the conversion of repressive H3K4me1 to activating H3K4me3 marks on the promoter of the differentiation gene myogenin (Myog) via Wdr5 phosphorylation. This enhances accessibility of the MyoD transcription factor and enables transcriptional activation of the Myog promoter to initiate muscle differentiation. Thus, as an upstream kinase of Wdr5, Pask integrates signaling cues with the transcriptional network to regulate the differentiation of progenitor cells. DOI: http://dx.doi. org/10.7554/eLife.17985. 001
Three new ZNN models with economical dimension and exponential convergence for real-time solution of moore-penrose pseudoinverse

Zhang neural network (ZNN) is a novel class of recurrent neural network with superior solution ability and convergence performance. For real-time solution of Moore-Penrose pseudoinverses of time-varying matrices based on continuous-time recurrent neural network, this paper proposes three different ZNN models, each of which is derived from a specifically-chosen Zhang function (ZF). Theoretical analyses guarantee the global convergence of the three different ZNN models and their fast convergence rate. Besides, the proposed ZNN models show additional great advantages when used to deal with matrices with contrasting numbers of rows and columns. Computer simulations and experiments further verify the theoretical results, vividly demonstrating the effectiveness and efficiency of the proposed ZNN models.
Examination of the explanatory role of self-evaluation motives when studying feedback-seeking behavior in organizations

The objectives of the studies presented in this dissertation are threefold. First, on the basis of the self-motives framework, we aimed to identify new antecedents of feedback-seeking behavior. Second, we took a closer look at unresolved issues from previous feedback research by considering the explanatory role of self-motives. Third, we aimed to investigate how self-motives research might contribute to understanding the troubling relationship between feedback and performance. The first chapter of this dissertation presents an overview of past feedback-seeking research by systematically reviewing 49 studies that examined feedback-seeking behavior. In the second chapter, I examined how feedback-seeking across performance dimensions can be influenced by changing the feedback-seeker’s lay beliefs. An experiment showed that people sought more feedback about important dimensions as opposed to unimportant dimensions and sought more feedback about non-modifiable dimensions as opposed to modifiable dimensions. In the third chapter, I took a closer look at the relationship between uncertainty and feedback-seeking. Results of two studies showed that the relationship between uncertainty and feedback-seeking is less simple than previously thought. People sought more indirect feedback at high and low levels of uncertainty as opposed to moderate levels of uncertainty. In the fourth chapter, I investigated whether employees are merely interested in hearing good news about themselves or are more interested in feedback that confirms their self-concept. Results across two studies showed that people mainly reacted favorably to positive feedback. It seems that feedback reactions are dominated by self-enhancement strivings and that self-verification strivings are less prominent. In the fifth chapter I investigated the impact of requiring individuals to elaborate on feedback messages on task performance. Results of two studies showed that mean performance on a web-based in basket improved more when participants elaborated on feedback as compared to when feedback was not elaborated upon. These findings point to the importance of effortful cognitive processing of feedback in organizations. In the final chapter, the empirical findings of this dissertation are briefly summarized. The contributions, opportunities, and limitations of this dissertation are delineated from a theoretical, methodological, and practical perspective.
FAST GAUSSIAN EVALUATIONS IN LARGE VOCABULARY CONTINUOUS SPEECH RECOGNITION

Rapid advances in speech recognition theory, as well as computing hardware, have led to the development of machines that can take human speech as input, decode the information content of the speech, and respond accordingly. Real-time performance of such systems is often dominated by the evaluation of likelihoods in the statistical modeling component of the system. Statistical models are typically implemented using Gaussian mixture distributions. The primary objective of this thesis was to develop an extension of the Bucket Box Intersection algorithm in which the dimension with the optimal number of splits can be selected when multiple minima are present. The effects of normalization of mixture weights and Gaussian clipping have also been investigated. We show that the Extended BBI algorithm (EBBI) reduces run-time by 21% without introducing any approximation error. EBBI also produced a 12% lower word error rate than Gaussian clipping for the same computational complexity. These approaches were evaluated on a wide variety of tasks including conversational speech. I would like to dedicate this thesis to my parents and my husband for their constant support, encouragement and sacrifices throughout my education and career development. DEDICATION i ACKNOWLEDGMENTS First of all, I want to thank Joe Picone for introducing me to the area of speech recognition. He not only created my interest in this area but also inspired me to do my graduate research in speech recognition. He never got tired of my incessantly argumentative discussions and I always learned something valuable from those discussions. Having him as my mentor for my graduate studies has been a memorable experience for me. I would also like to thank Jon Hamaker for all the valuable suggestions and ideas he gave me for this research. I owe Jurgen Fritsch for answering any questions I had regarding the Bucket-Box Intersection algorithm which has been used as a baseline for this research. The environment at ISIP was very conducive to serious research and that has played a big role in my work. Excellent computing resources provided in the lab helped me a lot with the experiments. My years at ISIP will always be a sweet memory for me not only for the knowledge I gained there but also for giving me an opportunity to meet some very wonderful people. I deeply thank all my colleagues there for making those years so enjoyable in spite of the heavy work load we always had. Finally …
Effect of laparoscopy versus laparotomy on circulating tumor cells using isolation by size of epithelial tumor cells

Aim To assess the effect of laparoscopy on circulating tumor cell (CTC) detection in case of carcinosis. Material and methods We compared laparoscopy versus laparotomy on tumor cell blood release in an animal model of ovarian carcinosis obtained by intraperitoneal inoculation of IGR-OV1 cells in nude rats. Animals were randomly assigned to one of the following groups: CO2 laparoscopy (L), gasless laparoscopy (GL), midline laparotomy (ML), or general anesthesia as control (C). A 0.5 ml blood sample was taken in each case before and after experiment and tested with a novel assay, ISET (isolation by size of epithelial tumor cells), which isolates CTC by filtration on account of their size. Statistics were performed with the Fisher's and the Chi-square tests. Results Ten rats were included in each group. We did not find any significant difference in CTC prevalence before and after surgery (2/14 versus 3/19, respectively, P = 1). Similarly, the three surgical accesses were equivalent with one postexperiment detection per group: 1/5 for L, 1/7 for ML, 1/7 for GL, and 1/6 for C (P = 0.9). Conclusion This trial did not show any deleterious effect of laparoscopy on CTC when compared to laparotomy.
Learning for transliteration of arabic-numeral expressions using decision tree for Korean TTS

Despite of much work on TTS technologies and several TTS systems customized for Korean, current TTS systems output many errors in transliterating non-alphabetic symbols such as Arabic numerals and text symbols. This paper proposes TLAN (Transliteration Learner for Arabic-Numeral expressions) which can efficiently disambiguate the reading and meaning of Arabic Numeral Expressions (ANEs) in texts by using a decision tree. For the purpose of analyzing and learning data, three phases of learning elements were suggested: patterns of Arabic numerals combined with text symbols, contextual features and heuristic information were classified according to the senses and sounds of ANEs. Our corpus was made up of news articles issued from January 1, 2000 to December 31, 2001 from 10 major newspapers in Korea. By learning the three phases of learning elements, the model shows 97.38% and 97.28% accuracies for the training set and the test set, respectively.
Simulation of the Flow Control of Radial Piston Pump Based on Simulink

The flow control of radial piston is widely used in speed,position servo system. In this paper the mathematic model of the test radial piston pump is established and the simulation diagram is established in the simulink of MATLAB.Then the response curves of the system are achieved.The performance of the system is improved after adding the fuzzy-PID controller.