Miracle-dz/UniFAR-FTUs huggingface dataset:
Myogenic MicroRNA Expression Requires ATP-Dependent Chromatin Remodeling Enzyme Function

ABSTRACT Knockdown of the Brg1 ATPase subunit of SWI/SNF chromatin remodeling enzymes in developing zebrafish caused stunted tail formation and altered sarcomeric actin organization, which phenocopies the loss of the microRNA processing enzyme Dicer, or the knockdown of myogenic microRNAs. Furthermore, myogenic microRNA expression and differentiation was blocked in Brg1 conditional myoblasts differentiated ex vivo. The binding of Brg1 upstream of myogenic microRNA sequences correlated with MyoD binding and accessible chromatin structure in satellite cells and myofibers, and it was required for chromatin accessibility and microRNA expression in a tissue culture model for myogenesis. The results implicate ATP-dependent chromatin remodelers in myogenic microRNA gene regulation.
Design of Penta-Band Omnidirectional Slot Antenna With Slender Columnar Structure

In this paper, we have proposed a co-located and folded slots antenna for multiband applications. The proposed antenna consists of three radiating slots, arranged on a compact square columnar structure. By properly tuning the dimensions and the positions of the co-located slots, the proposed antenna operates in penta-band, including DCS, PCS, UMTS, 2.5-GHz, and 3.5-GHz WiMAX bands. Additionally, omnidirectional radiation patterns are provided in the azimuthal plane for all the operating bands. The overall volume of the proposed square columnar antenna is only 50 × 10 × 10 mm3, which is suited for volume-limited systems. A prototype of the proposed antenna is fabricated and tested, to validate the design idea. The measured data, including S parameter, radiation pattern, and gain, agree well with the simulation results.
1 Mistaken Expectations , But Do They Matter ?

People find it difficult to answer questions about probabilities of complex uncertain events. This raises doubts about how accurately subjective expectations can reflect objective probabilities. Even if expectations are mistaken, however, the mistakes may not matter economically. We examine this question in a context where numerous studies suggest that subjective expectations influence something that people care about, namely the effect of ozone pollution on housing values. Although we find individuals are knowledgeable about ozone pollution events, we also find that stated subjective probabilities of ozone alerts can be improved upon by modified probability assessments that also imply different house values.
Adaptive resource allocation for multicast orthogonal frequency division multiple access systems with guaranteed BER and rate

In this paper, we propose a resource allocation scheme to minimize transmit power for multicast orthogonal frequency division multiple access systems. The proposed scheme allows users to have different symbol error rate (SER) across subcarriers and guarantees an average bit error rate and transmission rate for all users. We first provide an algorithm to determine the optimal bits and target SER on subcarriers. Because the worst‐case complexity of the optimal algorithm is exponential, we further propose a suboptimal algorithm that separately assigns bit and adjusts SER with a lower complexity. Numerical results show that the proposed algorithm can effectively improve the performance of multicast orthogonal frequency division multiple access systems and that the performance of the suboptimal algorithm is close to that of the optimal one. Copyright © 2012 John Wiley & Sons, Ltd.
Distributed MIMO Receiver—Achievable Rates and Upper Bounds

A multiple-input multiple-output (MIMO) system with a distributed receiver is considered. The system consists of a nomadic transmitter with several antennas, whose signal is received by multiple agents, exhibiting independent channel gains and an additive circular-symmetric Gaussian noise. In the nomadic regime, we assume that the agents do not have any decoding ability. These agents process their channel observations and forward them to the final destination through unidirectional lossless links with a fixed capacity. We propose new achievable rates based on elementary compression and on Wyner-Ziv (WZ)or chief executive officer (CEO) processing, for both fast-fading and block-fading channels, as well as for general discrete channels. The simpler two agents scheme is solved, up to an implicit equation with a single variable. Limiting the nomadic transmitter to circular-symmetric Gaussian signaling, new upper bounds are derived, based on the vector version of the entropy power inequality. Several asymptotic settings are analyzed. In addition, the upper bounds are analytically shown to be tight for several examples, while numerical calculations reveal a rather small gap in a finite 2 times 2 setting. The advantage of the WZ approach over elementary compression is shown, where only the former can achieve the optimal diversity-multiplexing tradeoff (DMT).
The effect of clicking by smiling on the accuracy of head-mounted gaze tracking

The effect of facial behaviour on gaze tracking accuracy was studied while using a prototype system that integrated head-mounted, video-based gaze tracking and a capacitive facial movement detection for respective pointing and selecting objects in a simple graphical user interface. Experiments were carried out to determine how voluntary smiling movements that were used to indicate clicks affect the accuracy of gaze tracking due to the combination of user eye movement behaviour and the operation of gaze tracking algorithms. The results showed no observable degradation of the gaze tracking accuracy when using voluntary smiling for object selections.
Complete Coverage Path Planning Based on Ant Colony Algorithm

The complete coverage path planning algorithm integrating local subarea coverage with global planning was proposed. According to the characteristic of Boustrophedon cellular decomposition, the robot covers local subarea through back and forth motion. The distance between every subareas was redefined, which including connectivity, least distance and number of obstacles between subareas. The new distance matrix of subareas in environment is built for global planning. Based on ant colony algorithm, the robot uses the distance matrix to get the optimization sequence of the subareas after decomposed the coverage environment. Experiments on a simulation of environment verify the validity of the proposed algorithm.
An Integrated Neural Fuzzy Approach for Fault Diagnosis of Transformers

This paper presents a new and efficient integrated neural fuzzy approach for transformer fault diagnosis using dissolved gas analysis. The proposed approach formulates the modeling problem of higher dimensions into lower dimensions by using the input feature selection based on competitive learning and neural fuzzy model. Then, the fuzzy rule base for the identification of fault is designed by applying the subtractive clustering method which is very good at handling the noisy input data. Verification of the proposed approach has been carried out by testing on standard and practical data. In comparison to the results obtained from the existing conventional and neural fuzzy techniques, the proposed method has been shown to possess superior performance in identifying the transformer fault type.
A secure and efficient scheme of remote user authentication based on bilinear pairings

With the rapid growth of Internet service, the authentication of remote user becomes an important issue for practical application. Recently, the pairings operations on elliptic curve have received considerable attention, and many schemes have been proposed intensively. In this paper, we propose a secure and efficient scheme of remote user authentication based on bilinear pairings. Not only does the proposed scheme achieve the low-computation requirement for smart cards, but also it can construct the complete authentication scheme, including mutual authentication and session key agreement. Moreover, our scheme uses nonce to solve the problem of time synchronization. Our scheme also analyzes the security and compares the properties with other schemes.
Rule-based word clustering for document metadata extraction

Text classification is still an important problem for unlabeled text; CiteSeer, a computer science document search engine, uses automatic text classification methods for document indexing. Text classification uses a document's original text words as the primary feature representation. However, such representation usually comes with high dimensionality and feature sparseness. Word clustering is an effective approach to reduce feature dimensionality and feature sparseness, and improve text classification performance. This paper introduces a domain Rule-based word clustering method for cluster feature representation. The clusters are formed from various domain databases and the word orthographic properties. Besides significant dimensionality reduction, such cluster feature representations show a 6.6% absolute improvement on average on classification performance of document header lines and a 8.4% absolute improvement on the overall accuracy of bibliographic fields extraction, in contrast to feature representation just based on the original text words. Our word clustering even outperforms the distributional word clustering in the context of document metadata extraction.
Gas transport properties and free volume structure of polymer nanocomposite membranes

This thesis work presents the results of experimental studies on the gas transport properties of three polymer-based membrane systems: (i) amine-modified epoxy resins, (ii) epoxy resin nanocomposites containing Few Layer Graphene (FLG) nanoplatelets as dispersed fillers and (iii) nanocellulose-based membranes. The gas transport properties of the present membrane systems were studied by gas phase permeation techniques changing sample temperature and penetrant molecules; results were discussed in the framework of the free volume theory of diffusion, using information on the samples’ free volume structure as experimentally obtained by Positron Annihilation Lifetime Spectroscopy (PALS). Results evidenced that the transport properties of small penetrant molecules are controlled by the membranes’ free volume structure, which determines, in fact, the penetrant diffusion kinetics. The free volume of epoxy resins was changed by changing their crosslink density but maintaining same chemical environment for penetrant molecules: it was observed that, reducing the free volume structure, the gas diffusivity decreases but no relevant changes in the gas solubility occurred. The experimentally obtained fractional free volume values permitted to reproduce the measured diffusivity values and their variation with temperature, using equations provided by the free volume theory of diffusion. Increasing the amount of FLG fillers in epoxy-based nanocomposites, we observed a progressive gas permeability decrease, which was accompanied by a progressive reduction of their free volume. This correlation was attributed to the formation of constrained, gas-impermeable polymer regions at the filler-matrix interfaces. The thickness of these regions was evaluated by the reduction of the nanocomposites’ fractional free volume with respect to the free volume of the pure polymer matrix; its value permits to reproduce quantitatively the experimental permeation data of the nanocomposites at all examined temperatures, filler concentrations and test gases. Few micrometers thick nanocellulose films deposited on polylactic acid substrates act as impermeable barriers for CO2, O2, and N2 and reduce the D2 (deuterium) and He permeation flux by a factor of approx. 10^3. Penetrant transport through this biopolymer is controlled by the solution-diffusion mechanism and barrier properties are due to the extremely low penetrant diffusivity. The free volume in the nanocellulose coatings consists of interconnected elongated cavities with sub-nanometer cross-sectional size where the selective transport of the small size penetrants is due to sieving effects. D2 and He diffusion has thermally activated character and occurs in configurational regime.
Radio Propagation Modeling for Capacity Optimization in Wireless Relay MIMO Systems with Partial CSI

The enormous growth of wireless communication systems makes it important to evaluate the capacity of such channels. Multiple input multiple output (MIMO) wireless communication systems are shown to yield significant performance improvement to data rates when compared to the traditional single input single output (SISO) wireless systems. The benefits of multiple antenna elements at the transmitter and receiver have become necessary to the research and the development of the next generation of mobile communication systems. In this paper we propose the use of relaying MIMO wireless communication systems for use over long throughput. We investigate how relays can be used in a "demodulate-and-forward" operation when the transmitter is equipped with spatially correlated multiple antenna elements and the receiver has only partial knowledge of the statistics of the channel. We show that relays between the source and destination nodes of a wireless communication system in MIMO configuration improve the throughput of the system when compared to the typical MIMO systems, or achieve the desired channel capacity with significantly lower power resources needed.
Exhaust Condensate Treatment Technology Based on Acoustic Levitation

In view of the condensed water droplets falling into the ground in winter, the automobile exhaust pipe in the cold area brings hidden dangers to the urban traffic safety. The research on the development of the car exhaust pipe condensate on-board treatment device is carried out. The reaction process of engine combustion and the main components of exhaust gas were analyzed. The working principle of ultrasonic suspension device was introduced. The temperature of automobile exhaust gas was measured by experiment. The COMSOL particle tracking module was used to simulate the acoustic suspension exhaust gas.
A dynamic clustering algorithm based on artificial immune system for analyzing 3D models

In the field of content-based 3D model retrieval, classifying and organizing 3D model database is an important fundamental research, which is critical for improving the retrieval performance. Clustering is one of the most effective methods to classify 3D models. However, there has been little work on it. This paper proposes a dynamic clustering algorithm based on artificial immune system for classifying 3D models, which not only can classify existing models, but can deal with new incremental models. Experimental results show that our algorithm can obtain better classification of 3D models.
Interfaces and Algorithms for a Wide-Area Event Notification Service

The components of a loosely-coupled system are typically designed to operate by generating and responding to asynchronous events. An event noti(cid:2)cation service is an application-independent infrastructure that supports the construction of event-based systems, whereby generators of events publish event noti(cid:2)ca-tions to the infrastructure and consumers of events subscribe with the infrastructure to receive relevant noti(cid:2)cations. The two primary services that should be provided to components by the infrastructure are noti(cid:2)cation selection (i.e., determining which noti(cid:2)cations match which subscriptions) and noti(cid:2)cation delivery (i.e, routing matching noti(cid:2)cations from publishers to subscribers). Numerous event noti(cid:2)cation services have been developed for local-area networks, generally based on a centralized server to select and deliver event noti(cid:2)cations. Therefore, they suffer from an inherent inability to scale to wide-area networks, such as the Internet, where the number and physical distribution of the service’s clients can quickly over-whelm a centralized solution. The critical challenge in the setting of a wide-area network is to maximize the expressiveness in the selection mechanism without sacri(cid:2)cing scalability in the delivery mechanism. This paper presents S IENA , an event noti(cid:2)cation service that we have designed to exhibit both expressiveness and scalability. We describe the service’s interface to applications, the algorithms used by networks of servers to select and deliver event noti(cid:2)cations, and the strategies used to optimize performance. We present results of simulation studies that examine the scalability and performance of the service. Finally, we describe a prototype implementation of S IENA .
Mobilizing Resources for Well-being: Implications for Developing Interventions in the Retirement Transition.

PURPOSE OF THE STUDY Good health and well-being in later life are central issues for public health. Retirement presents an opportunity to intervene to improve health and well-being, as individuals may adjust associated lifestyle behaviors. However, there is little evidence about how well-being is experienced in the context of increasingly diverse retirement transitions. Our objectives were to explore (a) views on health and well-being through retirement transitions and (b) acceptability of intervening in this period. DESIGN AND METHODS Qualitative study involving 48 workers/retirees, aged 53-77 years of diverse socioeconomic status, were recruited from urban and rural areas in North East England. Data were collected iteratively through focus groups (n = 6), individual interviews (n = 13), interviews with couples (n = 4), using the constant comparative method. Analysis was informed by theories of the Third Age and Sen's capabilities approach. RESULTS Diverse retirement transitions were shaped by unanticipated events. Central to well-being was the "capability" to utilize resources to achieve desirable outcomes. Participants rejected a "later life" identity, associating it with decline, and an uncertain future. IMPLICATIONS Lifestyle interventions that address challenges within the retirement transition may be acceptable. Inducements to change behavior based on possible long-term outcomes may be less appealing. Providing assistance to use resources to address personal goals may be central to effective interventions.
MRI studies of successful emotional memory encoding : A quantitative eta-analysis ishnu

Over the past decade, fMRI techniques have been increasingly used to interrogate the neural correlates of successful emotional memory encoding. These investigations have typically aimed to either characterize the contributions of the amygdala and medial temporal lobe (MTL) memory system, replicating results in animals, or delineate the neural correlates of specific behavioral phenomena. It has remained difficult, however, to synthesize these findings into a systems neuroscience account of how networks across the whole-brain support the enhancing effects of emotion on memory encoding. To this end, the present study employed a meta-analytic approach using activation likelihood estimates to assess the anatomical specificity and reliability of event-related fMRI activations related to successful memory encoding for emotional versus neutral information. The meta-analysis revealed consistent clusters within bilateral amygdala, anterior hippocampus, anterior and posterior parahippocampal gyrus, the ventral visual stream, left lateral prefrontal cortex and right ventral parietal cortex. The results within the amygdala and MTL support a wealth of findings from the animal literature linking these regions to arousal-mediated memory effects. The consistency of findings in cortical targets, including the visual, prefrontal, and parietal cortices, underscores the importance of generating hypotheses regarding their participation in emotional memory formation. In particular, we propose that the amygdala interacts with these structures to promote enhancements in perceptual processing, semantic elaboration, and attention, which serve to
Temporal Transcriptional Profiling of Somatic and Germ Cells Reveals Biased Lineage Priming of Sexual Fate in the Fetal Mouse Gonad

The divergence of distinct cell populations from multipotent progenitors is poorly understood, particularly in vivo. The gonad is an ideal place to study this process, because it originates as a bipotential primordium where multiple distinct lineages acquire sex-specific fates as the organ differentiates as a testis or an ovary. To gain a more detailed understanding of the process of gonadal differentiation at the level of the individual cell populations, we conducted microarrays on sorted cells from XX and XY mouse gonads at three time points spanning the period when the gonadal cells transition from sexually undifferentiated progenitors to their respective sex-specific fates. We analyzed supporting cells, interstitial/stromal cells, germ cells, and endothelial cells. This work identified genes specifically depleted and enriched in each lineage as it underwent sex-specific differentiation. We determined that the sexually undifferentiated germ cell and supporting cell progenitors showed lineage priming. We found that germ cell progenitors were primed with a bias toward the male fate. In contrast, supporting cells were primed with a female bias, indicative of the robust repression program involved in the commitment to XY supporting cell fate. This study provides a molecular explanation reconciling the female default and balanced models of sex determination and represents a rich resource for the field. More importantly, it yields new insights into the mechanisms by which different cell types in a single organ adopt their respective fates.
Histological and Micro-CT Evidence of Stigmatic Rostellum Receptivity Promoting Auto-Pollination in the Madagascan Orchid Bulbophyllum bicoloratum

Background The rostellum, a projecting part of the gynostemium in orchid flowers, separates the anther(s) from the stigma and thus commonly prevents auto-pollination. Nonetheless, as a modified (usually distal) portion of the median stigma lobe, the rostellum has been frequently invoked of having re-gained a stigmatic function in rare cases of orchid auto-pollination. Here it is shown that a newly discovered selfing variant of Madagascan Bulbophyllum bicoloratum has evolved a modified rostellum allowing the penetration of pollen tubes from in situ pollinia. Methods Gynostemium micro-morphology and anatomy of selfing and outcrossing variants of B . bicoloratum was studied by using light and scanning electron microscopy and histological sections. Pollen tube growth in the selfing variant was further observed via X-ray computed microtomography (micro-CT), providing 3D reconstructions of floral tissues at a micron scale. Findings Selfing variants possess a suberect (‘displaced’) rostellum rather than the conventional, erect type. Very early in anthesis, the pollinia of selfers are released from the anther and slide down onto the suberect rostellum, where pollen tube growth preferentially occurs through the non-vascularized, i.e. rear (adaxial) and (semi-) lateral parts. This penetrated tissue is comprised of a thin layer of elongate and loosely arranged cells, embedded in stigmatic exudates, as also observed in the stigmatic cavity of both selfing and outcrossing variants. Conclusions Our results provide the first solid evidence of a stigmatic function for the rostellum in orchid flowers, thereby demonstrating for the first time the feasibility of the micro-CT technique for accurately visualizing pollen tube growth in flowering plants. Rostellum receptivity in B . bicoloratum probably uniquely evolved as an adaptation for reproductive assurance from an outcrossing ancestor possessing an erect (non-receptive) rostellum. These findings open up new avenues in the investigation of an organ that apparently re-gained its ‘primordial function’ of being penetrated by pollen tubes.