Miracle-dz/UniFAR-FTUs huggingface dataset:
Histone deacetylase 11 regulates oligodendrocyte‐specific gene expression and cell development in OL‐1 oligodendroglia cells

Both in vivo and in vitro studies indicate a correlation between reduced acetylation of histone core proteins and oligodendrocyte development. The nature of these histone modifications and the mechanisms mediating them remain undefined. To address these issues, we utilized OL‐1 cells, a rat nontransformed oligodendrocyte cell line, and primary oligodendrocyte cultures. We found that the acetylated histone H3 at lysine 9 and lysine 14 (H3K9/K14ac) is reduced in both the myelin basic protein (MBP) and proteolipid protein (PLP) genes of maturing oligodendroglial OL‐1 cells, and furthermore, this temporally correlates with increases in MBP, PLP, and histone deacetylase (HDAC) 11 expression. Disruption of developmentally‐regulated histone H3 deacetylation within the MBP and PLP genes by the HDAC inhibitor trichostatin A blunts MBP and PLP expression. With its increased expression, interaction of HDAC 11 with acetylated histone H3 and recruitment of HDAC 11 to the MBP and PLP genes markedly increases in maturing OL‐1 cells. Moreover, suppressing HDAC 11 expression with small interfering RNA significantly (1) increases H3K9/K14ac globally and within the MBP and PLP genes, (2) decreases MBP and PLP mRNA expression, and (3) blunts the morphological changes associated with oligodendrocyte development. Our data strongly support a specific role for HDAC 11 in histone deacetylation and in turn the regulation of oligodendrocyte‐specific protein gene expression and oligodendrocyte development. © 2008 Wiley‐Liss, Inc.
ICLUS: A robust and scalable clustering model for time series via independent component analysis

As a statistical technique, independent component analysis (ICA) is used to separate mixed data sources into statistically independent patterns. ICA is also a useful dimension reduction technique for multivariate data analysis. In this article, we apply ICA to transform multivariate time series data into independent components (ICs), and then develop a clustering algorithm called ICLUS to group time series according to the ICs found. ICLUS is robust to noises, outliers, and different scales in the data. It is also scalable because it can achieve satisfactory performance in clustering large time series data sets based on a modest number of ICs. The clustering model can be used to cluster financial time series with similar structural patterns. The experiments show that this method is effective and efficient, which also significantly outperforms other comparable clustering methods, such as distance-based approaches.
Inertial Motion Sensing Glove for Sign Language Gesture Acquisition and Recognition

The most popular systems for automatic sign language recognition are based on vision. They are user-friendly, but very sensitive to changes in regard to recording conditions. This paper presents a description of the construction of a more robust system-an accelerometer glove-as well as its application in the recognition of sign language gestures. The basic data regarding inertial motion sensors and the design of the gesture acquisition system as well as project proposals are presented. The evaluation of the solution presents the results of the gesture recognition attempt by using a selected set of sign language gestures with a described method based on Hidden Markov Model (HMM) and parallel HMM approaches. The proposed usage of parallel HMM for sensor-fusion modeling reduced the equal error rate by more than 60%, while preserving 99.75% recognition accuracy.
Broadband Radio Interfaces Design for "€4G and Beyond" Cellular €Systems in smart urban Environments

Broadband, ubiquitous and energy-efficient wireless networking is one of the pillars in the definition of a really smart urban environment. The latest developments in such a field concern with the forthcoming LTE-A standard, which will also involve small cell deployment for broadband coverage yielding increased quality of experience and reduced power consumption. Some open issues related to small cell LTE-A networking for smart city applications are discussed, together with feasible solutions that are investigated in terms of robust PHY-layer configurations, and fully-wireless backhaul (point-to-point transmission, point-to-multipoint etc.). One such issue is related to power-constrained uplink transmission, where cooperative multipoint (CoMP) in small cell network is considered assuring better quality of service and energy efficiency for user terminal. Moreover, a novel MIMO detection is conceived for LTE-A application based on MCBEP criterion that is suited for size-constrained small base station and guaranteeing near-optimum performance. A door open to upcoming mobile standards by proposing constant envelope techniques in the uplink providing flexible tradeoff between spectral and power efficiency for 5th generation applications. A complete wireless backhaul based on millimeter wave (mmWave), for network of small cells, is considered due to its cost effectiveness and flexible operations. A robust PHY-layer waveform based on space-time MIMO techniques have proven to be the right choice for non-line of sight operations whereas TH-IR UWB techniques are providing significant data rates in line-of-sight case. SDR-Implementation of advanced wireless strategies is important in order to realize network reconfigurability in future cellular networks where network functionalities can be changed on the fly.
Trace generation of friction stir welding robot for space weld joint on large thin-walled parts

Purpose The weld joint of large thin-wall metal parts which deforms in manufacturing and clamping processes is very difficult to manufacture for its shape is different from the initial model; thus, the space normals of the part surface are uncertain. Design/methodology/approach In this paper, an effective method is presented to calculate cutter location points and to estimate the space normals by measuring some sparse discrete points of weld joint. First, a contact-type probe fixed in the end of friction stir welding (FSW) robot is used to measure a series of discrete points on the weld joint. Then, a space curve can be got by fitting the series of points with a quintic spline. Second, a least square plane (LSP) of the measured points is obtained by the least square method. Then, normal vectors of the plane curve, which is the projection of the space curve on the LSP, are used to estimate the space normals of the weld joint curve. After path planning, a post-processing method combing with FSW craft is elaborated. Findings Simulation and real experiment demonstrate that the proposed strategy, which obtains cutter locations of welding and normals without measuring the entire surface, is feasible and effective for the FSW of large thin-walled complex surface parts. Originality/value This paper presents a novel method which makes it possible to accurately weld the large thin-wall complex surface part by the FSW robot. The proposed method might be applied to any multi-axes FSW robot similar to the robot studied in this paper.
In-line hologram with synthesized opposite-phase internal reference

A technique for improving phase-less measurements for holographic imaging is presented. By interchanging the radiated reference wave with a synthesized internal signal, the hologram can be further exploited by enabling advanced control of the reference. Furthermore the reference is acquired along side its opposite-phase, which not only improves the acquisition time in certain holographic schemes, but also introduces new possibilities since it can be used to remove the average value of certain signals. Reconstruction of a target image by means of In-Line Holography is reported at X-Band.
Adherence monitoring in naltrexone pharmacotherapy trials: a systematic review.

OBJECTIVE The efficacy of naltrexone (Revia, Vivitrol) for the treatment of alcohol dependence exhibits a high degree of heterogeneity. The aim of the current study was to evaluate the extent to which variability in patient adherence to treatment contributed to the range of clinical responses observed during naltrexone treatment. METHOD A systematic review was conducted of efficacy trials of naltrexone for the treatment of alcohol dependence to evaluate the level of adherence monitoring. RESULTS Of 49 identified trials, 22 (49%) met the inclusion criteria of being randomized, double-blind, placebo-controlled trials that reported adherence. The "adherence-assurance score" of these trials was calculated as a function of the frequency with which "low," "moderate," or "high" confidence levels of adherence monitoring were used. Of these 22 randomized, controlled trials, only 3 (14%) met criteria for high levels of adherence assurance, 5 (23%) met medium adherenceassurance criteria, and 14 (64%) met low adherence criteria. Of the three high-assurance studies, one used direct supervision of thrice-weekly oral dosing of naltrexone, and two used extended-release injectable formulations of naltrexone administered once per month. The Spearman correlation between risk ratios for return to heavy drinking (for naltrexone vs. placebo) and the level of adherence assurance (low vs. medium vs. high) was significant (r = -.62, p = .025). CONCLUSIONS These findings suggest that the modest effect sizes for naltrexone reported in systematic reviews and meta-analyses may be attributable, at least in part, to variability in naltrexone adherence rates. High-assurance adherence strategies should be standard practice in clinical trials of medications being evaluated for the treatment of alcohol dependence.
Reverse k-skyband query based on reuse technology

In this paper, we introduce a new approach to finish reverse k-skyband (RkSB) query which returns all the points in given dataset P whose dynamic k-skyband contains specific query object q. The main ideas include reuse technology and early stopping. The former save the information of node accesses during R-tree search into an auxiliary heap so that dramatically decreases the I/O cost and improves the CPU efficiency. This is because RkSB needs to execute global k-skyband and window query to finish the computation and the reuse information can be used in the phase of window query. The latter improves the efficiency of RkSB computation. The experimental results conducted on real datasets and synthetic datasets show that our proposed algorithm is effective and has a better performance both I/O cost and CPU efficiency than the algorithm based on reverse BBS (Branch and Bound Skyline) method. Keywordsalgorithm; skyline query; reverse skyline; skyband
Leveraging temporal autocorrelation of historical data for improving accuracy in network regression

Temporal data describe processes and phenomena that evolve over time. In many real‐world applications temporal data are characterized by temporal autocorrelation, which expresses the dependence of time‐stamped data over a certain a time lag. Often such processes and phenomena are characterized by evolving complex entities, which we can represent with evolving networks of data. In this scenario, a task that deserves attention is regression inference in temporal network data. In this paper, we investigate how to improve the predictive inference on network data by accommodating temporal autocorrelation of the historical data in the learning process of the prediction models. Historical data is a type of temporal data where most part of the elements has been already stored. In practice, we study how to explicitly consider the influence of data of a network observed in the past, to enhance the prediction on the same network observed at the present. The proposed approach relies on a model ensemble built with individual predictors learned on historical network data. The predictors are trained from summary networks, which synthesize the effect of the autocorrelation in distinct sequences of network observations. Summary networks are identified with a sliding window model. Finally, the model ensemble combines together the predictors with a weighting schema, which reflects the degree of influence of a predictor with respect to the network observed at the present. So, we aim at accommodating the temporal autocorrelation both in the data and in the prediction model. Empirical evaluation demonstrates that the proposed approach can boost regression performance in real‐world network data.
Simulation‐Based Examinations in Physician Assistant Education: A Comparison of Two Standard‐Setting Methods

Purpose: This study explored the reliability of two simple standard‐setting methods that are used to set passing standards for a standardized patient (SP) exam in physician assistant (PA) education. Methods: Fifty‐four second‐year PA students participated in a multistation SP‐based clinical skills exam. Cut scores were set using the Angoff and Borderline Group methods. A panel of PA faculty set cut scores using the Angoff method. A modified version of the Borderline Group method set cut scores using SP global ratings verified by faculty review. Inter‐rater reliability between judges was evaluated using kappa coefficient (k) for the Angoff method and intraclass correlation coefficient (ICC) for the Borderline Group method. Results: The Borderline Group method set an overall cut score for the exam of 76% (95% CI +/‐ 5) and the Angoff method set a cut score at 62% (95% CI +/‐ 9). Both methods demonstrated sufficient inter‐rater reliability (k > 0.60, ICC > 0.70; both significant at p < 0.05), although one case (preop history and physical) demonstrated poor inter‐rater reliability between judges using the Borderline Group method. Discussion: The Borderline Group method offered a slightly more reliable cut score when compared to the standard set by the Angoff method, but was more challenging to implement. In addition, one case demonstrated poor inter‐rater reliability with the Borderline Group method. Using SPs to complete global borderline ratings offers one solution to make the Borderline Group method more feasibile, but requires a high degree of initial rater calibration and periodic measures of interrater reliability between faculty and SPs.
Blind CFO Estimation for Constant Modulus Signaling Based OFDM Systems

A low-complexity, blind CFO estimator for OFDM systems with constant modulus (CM) signaling is presented. Both single-input single-output (SISO) systems and multiple-input multiple-output (MIMO) systems are considered. Assuming the channel keeps constant during estimation, the CFO can be uniquely and exactly estimated through minimizing the power difference of the received data on the same subcarrier between two consecutive OFDM symbols, thus the identifiability problem is solved. Inspired by the sinusoid-like cost function, curve fitting is applied to simplify our algorithm. This blind scheme can also be applied to a MIMO system.
Essential Role of TID1 in Maintaining Mitochondrial Membrane Potential Homogeneity and Mitochondrial DNA Integrity

ABSTRACT The tumorous imaginal disc 1 (TID1) protein localizes mainly to the mitochondrial compartment, wherein its function remains largely unknown. Here we report that TID1 regulates the steady-state homogeneity of the mitochondrial membrane potential (Δψ) and maintains the integrity of mitochondrial DNA (mtDNA). Silencing of TID1 with RNA interference leads to changes in the distribution of Δψ along the mitochondrial network, characterized by an increase in Δψ in focal regions. This effect can be rescued by ectopic expression of a TID1 construct with an intact J domain. Chronic treatment with a low dose of oligomycin, an inhibitor of F1Fo ATP synthase, decreases the cellular ATP content and phenocopies TID1 loss of function, indicating a connection between the disruption of mitochondrial bioenergetics and hyperpolarization. Prolonged silencing of TID1 or low-dose oligomycin treatment leads to the loss of mtDNA and the consequent inhibition of oxygen consumption. Biochemical and colocalization data indicate that complex I aggregation underlies the focal accumulation of Δψ in TID1-silenced cells. Given that TID1 is proposed to function as a cochaperone, these data show that TID1 prevents complex I aggregation and support the existence of a TID1-mediated stress response to ATP synthase inhibition.
The New Metric

The new metric, of which Henri Weil2 remained the chief representative up to the time of his death, is distinguished from the older metric of Rossbach and Westphal chiefly in these points: First, by more careful discrimination of the Aeolic, that is, syllable-counting, choriambic-glyconic-asclepiadean meters, from the so-called logaoedics. Secondly, and here Theodor Bergk3 and Hermann Usener4 are the leaders, by the reduction of the main body of logaoedics to the old ascending four-beat proverb verse, with great freedom in the arses, known as the enoplic, as opposed to the anapaestic paroemiac. Thirdly, in the interpretation of many cola there is greater recognition of the equivocal nature of many externally similar combinations of syllables, a tendency which in some metricians has led to the renunciation of all interpretation, while it caused the greatest embarrassment to others until at last they came to study the context as we do in the interpretations of texts, and since it was a question of song and dance rhythms, to treat as the determining factors considerations of juxtaposition and opposition, the keynote theme, variations, and the rounding of the period. In the fourth place, an attempt has been made in various quarters to treat rhythmic clauses
ON THE NOTION OF SPECTRAL DECOMPOSITION IN LOCAL GEOMETRIC LANGLANDS

The geometric Langlands program is distinguished in assigning spectral decompositions to all representations, not only the irreducible ones. However, it is not even clear what is meant by a spectral decomposition when one works with non-abelian reductive groups and with ramification. The present work compares two notions, showing that one is a special case of the other. More broadly, we study the moduli space of (possibly irregular) de Rham local systems from the perspective of homological algebra. We show that, in spite of its infinite-dimensional nature, this moduli space shares some of the nice features of an Artin stack. Along the way, we give some apparently new, if unsurprising, results about the algebraic geometry of the moduli space of connections, using Babbitt-Varadarajan’s reduction theory for differential equations.
A LAHC-based Job Scheduling Strategy to Improve Big Data Processing in Geo-distributed Contexts

The wide spread adoption of IoT technologies has resulted in generation of huge amount of data, or Big Data, which has to be collected, stored and processed through new techniques to produce value in the best possible way. Distributed computing frameworks such as Hadoop, based on the MapReduce paradigm, have been used to process such amounts of data by exploiting the computing power of many cluster nodes. Unfortunately, in many real big data applications the data to be processed reside in various computationally heterogeneous data centers distributed in different locations. In this context the Hadoop performance collapses dramatically. To face this issue, we developed a Hierarchical Hadoop Framework (H2F) capable of scheduling and distributing tasks among geographically distant clusters in a way that minimizes the overall jobs execution time. In this work the focus is put on the definition of a job scheduling system based on a one-point iterative search algorithm that increases the framework scalability while guaranteeing good job performance.
The basic helix‐loop‐helix transcription factor, heart and neural crest derivatives expressed transcript 2, marks hepatic stellate cells in zebrafish: Analysis of stellate cell entry into the developing liver

Hepatic stellate cells (HSCs) are liver‐specific mesenchymal cells that play vital roles in liver development and injury. Our knowledge of HSC biology is limited by the paucity of in vivo data. HSCs and sinusoidal endothelial cells (SECs) reside in close proximity, and interactions between these two cell types are potentially critical for their development and function. Here, we introduce a transgenic zebrafish line, Tg(hand2:EGFP), that labels HSCs. We find that zebrafish HSCs share many similarities with their mammalian counterparts, including morphology, location, lipid storage, gene‐expression profile, and increased proliferation and matrix production, in response to an acute hepatic insult. Using the Tg(hand2:EGFP) line, we conducted time‐course analyses during development to reveal that HSCs invade the liver after SECs do. However, HSCs still enter the liver in mutants that lack most endothelial cells, including SECs, indicating that SECs are not required for HSC differentiation or their entry into the liver. In the absence of SECs, HSCs become abnormally associated with hepatic biliary cells, suggesting that SECs influence HSC localization during liver development. We analyzed factors that regulate HSC development and show that inhibition of vascular endothelial growth factor signaling significantly reduces the number of HSCs that enter the liver. We also performed a pilot chemical screen and identified two compounds that affect HSC numbers during development. Conclusion: Our work provides the first comprehensive description of HSC development in zebrafish and reveals the requirement of SECs in HSC localization. The Tg(hand2:EGFP) line represents a unique tool for in vivo analysis and molecular dissection of HSC behavior. (HEPATOLOGY 2012;56:1958–1970)
A Rare Case of Posterior Communicating Artery Pseudoaneurysm Causedby Traumatic Head Injury

Traumatic intracranial aneurysm is rare and mostly due to blunt head injury. High mortality rate up to 50% is reported in the literature. Early diagnosis and appropriate management is essential for this fatal disease. We present a rare case of pseudoaneurysm over left-side posterior communicating artery after traumatic head injury. Avulsion of the posterior communicating artery was noted intra-operatively and then clipping of the proximal stump was arranged. There was no delayed hemorrhage after the operation. After review of the literature, there is no definite management for this kind of traumatic intracranial pseudoaneurysm. Here, we present the fourth case of posterior communicating artery traumatic pseudoaneurysm, which presents appropriate outcome after surgical intervention of clipping proximal stump of the avulsed artery.
Detection of the Bacillus anthracis gyrA Gene by Using a Minor Groove Binder Probe

ABSTRACT Identification of chromosomal markers for rapid detection of Bacillus anthracis is difficult because significant chromosomal homology exists among B. anthracis, Bacillus cereus, and Bacillus thuringiensis. We evaluated the bacterial gyrA gene as a potential chromosomal marker for B. anthracis. A real-time PCR assay was developed for the detection of B. anthracis. After analysis of the unique nucleotide sequence of the B. anthracis gyrA gene, a fluorescent 3′ minor groove binding probe was tested with 171 organisms from 29 genera of bacteria, including 102 Bacillus strains. The assay was found to be specific for all 43 strains of B. anthracis tested. In addition, a test panel of 105 samples was analyzed to evaluate the potential diagnostic capability of the assay. The assay showed 100% specificity, demonstrating the usefulness of the gyrA gene as a specific chromosomal marker for B. anthracis.
The complete mitochondrial genome of Turdus hortulorum (Passeriformes, Turdidae)

Abstract The grey-backed thrush (Turdus hortulorum) is an endangered bird species, which is mainly distributed in northern China, Korean Peninsula and Vietnam. In this study, the complete nucleotide sequence of the mitochondrial genome of T. hortulorum is determined. The circle genome was 16,759 bp in length and consisted of 13 protein-coding genes, 22 transfer RNA genes, 2 ribosomal RNA genes and 1 control region (D-loop). The mtDNA of T. hortulorum is similar to the typical mtDNA of birds and other vertebrates.