Miracle-dz/UniFAR-FTUs huggingface dataset:
Tracking Vector Magnetograms with the Magnetic Induction Equation

The differential affine velocity estimator (DAVE) that we developed in 2006 for estimating velocities from line-of-sight magnetograms is modified to directly incorporate horizontal magnetic fields to produce a differential affine velocity estimator for vector magnetograms (DAVE4VM). The DAVE4VM’s performance is demonstrated on the synthetic data from the anelastic pseudospectral ANMHD simulations that were used in the recent comparison of velocity inversion techniques by Welsch and coworkers. The DAVE4VM predicts roughly 95% of the helicity rate and 75% of the power transmitted through the simulation slice. Intercomparison between DAVE4VM and DAVE and further analysis of the DAVE method demonstrates that line-of-sight tracking methods capture the shearing motion of magnetic footpoints but are insensitive to flux emergence—the velocities determined from line-of-sight methods are more consistent with horizontal plasma velocities than with flux transport velocities. These results suggest that previous studies that rely on velocities determined from line-of-sight methods such as the DAVE or local correlation tracking may substantially misrepresent the total helicity rates and power through the photosphere.
Genome-Wide Analysis of the AP2/ERF Superfamily Genes and their Responses to Abiotic Stress in Medicago truncatula

The AP2/ERF superfamily is a large, plant-specific transcription factor family that is involved in many important processes, including plant growth, development, and stress responses. Using Medicago truncatula genome information, we identified and characterized 123 putative AP2/ERF genes, which were named as MtERF1–123. These genes were classified into four families based on phylogenetic analysis, which is consistent with the results of other plant species. MtERF genes are distributed throughout all chromosomes but are clustered on various chromosomes due to genomic tandem and segmental duplication. Using transcriptome, high-throughput sequencing data, and qRT-PCR analysis, we assessed the expression patterns of the MtERF genes in tissues during development and under abiotic stresses. In total, 87 MtERF genes were expressed in plant tissues, most of which were expressed in specific tissues during development or under specific abiotic stress treatments. These results support the notion that MtERF genes are involved in developmental regulation and environmental responses in M. truncatula. Furthermore, a cluster of DREB subfamily members on chromosome 6 was induced by both cold and freezing stress, representing a positive gene regulatory response under low temperature stress, which suggests that these genes might contribute to freezing tolerance to M. truncatula. In summary, our genome-wide characterization, evolutionary analysis, and expression pattern analysis of MtERF genes in M. truncatula provides valuable information for characterizing the molecular functions of these genes and utilizing them to improve stress tolerance in plants.
Curved 11D supergeometry

We examine the theta-expansion of the eleven-dimensional supervielbein. We outline a systematic procedure which can be iterated to any order. We give explicit expressions for the vielbein and three-form potential components up to order (θ5). Furthermore we show that at each order in the number of supergravity fields, in a perturbative expansion around flat space, it is possible to obtain exact expressions to all orders in theta. We give the explicit expression at linear order in the number of fields and we show how the procedure can be iterated to any desired order. As a byproduct we obtain the complete linear coupling of the supermembrane to the background supergravity fields, covariantly in component form. We discuss the implications of our results for M(atrix) theory.
A Revised Examination of Materialism and Conspicuous Consumption Among Young Chinese Adults

• We found that materialism and conspicuous consumption has surprisingly decreased among young adult consumers. Additionally, we found no significant differences in the variables of gender and marital status in young adult Chinese consumers. Findings suggest that previous growth in materialism and conspicuous consumption may have been arrested. • In recent years a number of studies have suggested and posited that Chinese culture is moving towards increased materialistic dispositions (Don and Dholakia, 2015; Hsu and Huang, 2016; Yang and Stening, 2016).
Optimally defined Racah–Casimir operators for su(n) and their eigenvalues for various classes of representations

This paper deals with the striking fact that there is an essentially canonical path from the ith Lie algebra cohomology cocycle, i=1,2,…,l, of a simple compact Lie algebra g of rank l to the definition of its primitive Casimir operators C(i) of order mi. Thus one obtains a complete set of Racah–Casimir operators C(i) for each g and nothing else. The paper then goes on to develop a general formula for the eigenvalue c(i) of each C(i) valid for any representation of g, and thereby to relate c(i) to a suitably defined generalized Dynkin index. The form of the formula for c(i) for su(n) is known sufficiently explicitly to make clear some interesting and important features. For the purposes of illustration, detailed results are displayed for some classes of representation of su(n), including all the fundamental ones and the adjoint representation.
Reinforcement learning based distributed multiagent sensing policy for cognitive radio networks

In this paper a distributed multiagent, multiband reinforcement learning based sensing policy for cognitive radio ad hoc networks is proposed. The proposed sensing policy employs secondary user (SU) collaboration through local interactions. The goal is to maximize the amount of available spectrum found for secondary use given a desired diversity order, i.e. a desired number of SUs sensing simultaneously each frequency band. The SUs in the cognitive radio network make local decisions based on their own and their neighbors' local test statistics or decisions to identify unused spectrum locally. Thus, the network builds a locally available map of spectrum occupancy of its geographical area. Simulation results show that the proposed sensing policy provides a significant increase in the amount of available spectrum found for secondary use compared to a random sensing policy.
Empathy, enaction, and shared musical experience: evidence from infant cognition

Introduction Empathy is a kind of intimacy, an immediate sharing of experience and understanding. i In what follows, I consider how shared musical experiences can bring individuals into intense forms of communion and understanding—even during the earliest stages of life. The basic idea is that music can be thought of as an “aesthetic technology” (DeNora 2000) for co-constructing, with others, new relationships and shared experiences; it is a tool jointly used to create opportunities for empathic connection and basic forms of communication. The more radical idea defended below is that music dynamically motivates even the earliest infant–caregiver interactions. Various studies indicate that infants seem poised from birth to respond to music in relatively sophisticated ways, perceptually speaking. They are active perceivers. Moreover, within these early interactions, music plays—or at least can play—a crucial role in drawing out and guiding early communicative exchanges. And these early instances of active and shared musical experiences, I suggest, provide insights into how we interact with music both alone and with others later in life. This chapter is therefore a consideration of shared experiences of music—specifi cally, a consideration of how music functions as a tool for driving rudimentary forms of empathic connectedness. Most of the discussion that follows focuses on how infants hear and respond to music. I use “empathy” fairly broadly to refer to our basic capacity to experience and engage with the thoughts, feelings, and intentions of others in an immediate (i.e. non-inferential) way. ii Music is thus a tool for driving primitive but experientially rich forms of empathy. In developing this idea, I stress the enactive character of shared musical experience. iii Shared musical experiences depend crucially on sensorimotor features of the animate body. To highlight this feature of shared musical experience, I characterize such experiences as dynamic processes of (1) joint sense-making , enacted via temporally extended patterns of (2) skillful engagement with music that are (3) synchronically and diachronically scaffolded by the surrounding environment. The discussion below treats these three aspects in turn, arguing that they collectively afford the unique sort of intimacy—empathy—possible within shared listening experiences.
Human U Three Protein 14a Expression is Increased in Hepatocellular Carcinoma and Associated with Poor Prognosis

Background: Human U three protein 14a (hUTP14a) promotes p53 degradation. Moreover, hUTP14a expression is upregulated in several types of tumors. However, the expression pattern of hUTP14a in hepatocellular carcinoma (HCC) remains unknown. The aim of this study was to investigate hUTP14a expression and its prognostic value in HCC. Methods: The hUTP14a expression was evaluated using immunohistochemistry (IHC) in HCC tissue specimens. The correlations between hUTP14a expression and clinicopathological variables were analyzed. The Kaplan-Meier method was used to analyze the association between hUTP14a expression and survival. Independent prognostic factors associated with overall survival (OS) and disease-free survival (DFS) were analyzed using the Cox proportional-hazards regression model. Results: The IHC data revealed that the hUTP14a positivity rate in HCC tissue specimens was significantly higher than that in nontumorous tissue specimens (89.9% vs. 72.7%, P < 0.05). The hUTP14a expression was detected in both the nucleolus and the cytoplasm. The positivity rate of nucleolar hUTP14a expression in HCC tissue specimens was higher than that in the nontumorous tissue specimens (29.3% vs. 10.1%, P < 0.05). No significant difference was found between HCC and nontumorous tissue specimens of cytoplasmic hUTP14a expression (60.6% vs. 62.6%, P > 0.05). In addition, no significant correlation was found between nucleolar hUTP14a expression and other clinicopathological variables. The 5-year OS and DFS rates in patients with positive nucleolar hUTP14a expression were significantly lower than those in patients with negative hUTP14a expression (P = 0.004 for OS, P = 0.003 for DFS). Multivariate analysis showed that nucleolar hUTP14a expression was an independent prognostic factor for OS (P = 0.004) and DFS (P < 0.001). Conclusions: The positivity rate of hUTP14a expression was significantly higher in HCC specimens. Positive expression of nucleolar hUTP14a might act as a novel prognostic predictor for patients with HCC.
Practical Vessel Imaging by Computed Tomography in Live Transgenic Mouse Models for Human Tumors

Contrast-enhanced small-animal computed tomography is an economical and highly quantitative tool for serially examining tumor development in situ, for analyzing the network of blood vessels that nourish them, and for following the response of tumors to preclinical therapeutic intervention(s). We present practical considerations for visualizing the vascular network of transgenic mouse tumors. Using a long-acting iodinated triglyceride blood-pool contrast agent, we present optimized scanner acquisition parameters and volume-rendering techniques for examining the intermediate and large vessels of complex spontaneous tumors (e.g., alveolar rhabdomyosarcomas) in transgenic mice. Our findings indicate that multiple-frame, 360–720 view acquisitions were mandatory for clarifying bone and soft tissue from vessel contrast. This finding was consistent in visualizations using a one-dimensional transfer function where voxel color and opacity was assigned in proportion to CT value and a two-dimensional transfer function where voxel color and opacity was assigned in proportion to CT value and gradient magnitude. This study lays a groundwork for the qualitative and quantitative assessment of anti-angiogenesis preclinical studies using transgenic mice.
High-dimensional Time Series Prediction with Missing Values

High-dimensional time series prediction is needed in applications as diverse as demand forecasting and climatology. Often, such applications require methods that are both highly scalable, and deal with noisy data in terms of corruptions or missing values. Classical time series methods usually fall short of handling both these issues. In this paper, we propose to adapt matrix matrix completion approaches that have previously been successfully applied to large scale noisy data, but which fail to adequately model high-dimensional time series due to temporal dependencies. We present a novel temporal regularized matrix factorization (TRMF) framework which supports data-driven temporal dependency learning and enables forecasting ability to our new matrix factorization approach. TRMF is highly general, and subsumes many existing matrix factorization approaches for time series data. We make interesting connections to graph regularized matrix factorization methods in the context of learning the dependencies. Experiments on both real and synthetic data show that TRMF outperforms several existing approaches for common time series tasks.
Heavy Weight Training Mythology

The mythological story of the association of lifting maximal amount of weight and muscle mass gain during resistance training has been perpetuated for a very long time. Passed on from gym meatheads, athletes, to coaches, moms, dads, even children can identify and promote this after watching a Saturday morning Incredible Hulk cartoon. Big muscles are made by lifting big weights, right? Not necessarily. The beautiful aspect of science is that it is continually evolving and self-assessed; meaning during a certain period a researched idea of something as simple as eggs may be harmful to health via cholesterol, then found to be pro-health the next. The only way to truly know or stay current is to keep updated on the science; the same is true in regards to exercise science and resistance training. Before I go into detail about muscle growth or readily known as hypertrophy, it needs to be defined first. Hypertrophy is categorized into chronic (long-term) and acute (short-term) effects. Long-term effects would be where the muscle(s) that are trained accumulate contractile and non-contractile proteins or bigger muscle in response to resistance training. While conversely, short-term hypertrophy is an accumulation of fluid (edema) and glycogen stores. However, actual muscle protein gains is debatable [1, 2]. The resistance training of hypertrophic-goal oriented style below has been proposed by ACSM in a position stand paper via resistance training recommendations suggested for optimal muscle mass (hypertrophy) gain [3]:
Se p 20 06 Generating Charge from Diffeomorphisms

We unravel some subtleties involving the definition of sphere angular momentum charges in AdSq × S spacetimes, or equivalently, R-symmetry charges in the dual boundary CFT. In the AdS3 context, it is known that charges can be generated by coordinate transformations, even though the underlying theory is diffeomorphism invariant. This is the bulk version of spectral flow in the boundary CFT. We trace this behavior back to special properties of the p-form field strength supporting the solution, and derive the explicit formulas for angular momentum charges. This analysis also reveals the higher dimensional origin of three dimensional Chern-Simons terms and of chiral anomalies in the boundary theory.
LOW REDSHIFT BAL QSOS IN THE EIGENVECTOR 1 CONTEXT

We attempt to characterize the geometry of Broad Absorption Line (BAL) QSOs by studying a low redshift sample of 12 sources. We nd that the majority of these sources are Population A quasars as dened in Sulentic et al. (2000a, broad H FWHM 4000 km s 1 ). A possible correlation between terminal velocity and absolute V magnitude suggests that the bolometric luminosity to black hole mass ratio Lbol=MBH is a governing factor with classical BAL sources showing the highest values. Civ 1549 emission in classical BAL sources shows a prole blueshift that supports a disk wind/outo w scenario with a half opening angle of < 50 . Observation of \secondary" mini-BAL features in the Civ 1549 emission prole motivates us to model BALs with an additional component that may be involved with the BLR outo w and co-axial with the accretion disk.
Broadband Active Balun Using Combined Cascode–Cascade Configuration

A new configuration is proposed for an active balun, which uses a cascode and cascade pair with the shared input transistor. It is designed in the IBM 8HP 130-nm BiCMOS process, which operates over a broad bandwidth up to 17 GHz where the imbalance of the differential output is less than 1.8 dB in amplitude and less then 10 in phase, over the input's dynamic range of -25-5 dBm, under the dc power consumption of 198.8 mW. The circuit contains no internal dc blocking capacitors so that the bandwidth's lower end frequency best extends as close to dc as possible. The circuit contains only one line inductor with the value of 0.2 nH, and the compacted layout is expected to fit in limited chip areas as small as 0.2 mm times 0.2 mm, which makes them well suited for built-in self-test applications, as well as general differential circuits requiring compact-sized broadband baluns.
Nber Wo~g Paper Series Trade Libewlization and ~come Distribution Trade Libewlization and Income Distribution

Short sections of text, not to exceed two paragraphs, may be quoted without explicit permission provided that fill credit, including O notice, is given to the source. ABSTRACT Empirical work relating trade liberalization and income distribution has identified an important anomaly. The Stolper-Samuelson theorem predicts that trade liberalization will shifi income toward a country's abundant factor. For developing countries, this suggests liberalization will principally benefit the abundant unskilled labor. Yet extensive empirical studies have identified many cases with a contrary result. This paper develops a simple theoretical explanation for this anomaly. It shows that countries which are labor abundant in a global sense may see wages decline with liberalization if they are capital abundant in a local sense. The current absence of empirical work that would allow us to identifi the relevant local abundance implies that virtually all assertions regarding anticipated distributional consequences of trade liberalization are without foundation. There may likewise be important implications for industrialized countries that border developing countries undertaking trade liberalization, particularly in regard to the incentives for migration.
Real-time household load priority scheduling algorithm based on prediction of renewable source availability

We propose a real-time household load priority scheduling algorithm based on renewable source availability prediction to maximize the benefits of renewable sources and minimize the total cost of energy consumption with consumers' comfort constraints. Home appliances are assigned dynamic priority according to their different energy consumption modes and their corresponding status. Hour-byhour weather forecast is considered to predict the availability of the renewable sources. Based on the allocated priority, home appliances are scheduled according to the predicted output of renewable sources and the forecast electricity market price. In addition, to effectively schedule appliances according to the real-time output of renewable sources and the electricity market price changes, which generally deviate from the corresponding forecasting, an algorithm for realtime household load scheduling is proposed and its benefits on cost and energy efficiency are discussed as well.
Inhibitory effect of red ginseng acidic polysaccharide from Korean red ginseng on phagocytic activity and intracellular replication of Brucella abortus in RAW 264.7 cells

Korean red ginseng (KRG) has long been used in traditional Korean and Oriental medicine. However, the anti-bacterial mechanism and therapeutic efficiency of KGR for intracellular Brucella infection are still unclear. In this study, the bactericidal activity of Korean red ginseng acidic polysaccharide (RGAP) on Brucella (B.) abortus and its cytotoxic effects on RAW 264.7 cells were evaluated. In addition, B. abortus internalization and intracellular replication in macrophages were investigated after RGAP treatment. RGAP-incubated cells displayed a marked reduction in the adherence, internalization and intracellular growth of B. abortus in macrophages. Furthermore, decreased F-actin fluorescence was observed relative to untreated B. abortus-infected cells. Western blot analysis of intracellular signaling proteins revealed reduced ERK, JNK and p38α phosphorylation levels in B. abortus-infected RGAP-treated cells compared to the control. Moreover, elevated co-localization of B. abortus-containing phagosomes with lysosome-associated membrane protein 1 (LAMP-1) were observed in RGAP-treated cells compared with the control. Overall, the results of this study suggest that RGAP can disrupt phagocytic activity of B. abortus via suppression of mitogen-activated protein kinases (MAPKs) signaling proteins ERK, JNK and p38 levels and inhibit intracellular replication of B. abortus by enhancing phagolysosome fusion, which may provide an alternative control of brucellosis.
Identifying and Generating Easy Sets of Constraints for Clustering

Clustering under constraints is a recent innovation in the artificial intelligence community that has yielded significant practical benefit. However, recent work has shown that for some negative forms of constraints the associated subproblem of just finding a feasible clustering is NP-complete. These worst case results for the entire problem class say nothing of where and how prevalent easy problem instances are. In this work, we show that there are large pockets within these problem classes where clustering under constraints is easy and that using easy sets of constraints yields better empirical results. We then illustrate several sufficient conditions from graph theory to identify a priori where these easy problem instances are and present algorithms to create large and easy to satisfy constraint sets.
On CDMA with space-time codes over multipath fading channels

We explore code-division multiple-access systems with multiple transmitter and receiver antennas combined with algebraic constellations over a quasi-static multipath fading channel. We first propose a technique to obtain transmit diversity for a single user over quasi-static fading channels by combining algebraic constellations with full spatial diversity and spreading sequences with good cross-correlation properties. The proposed scheme is then generalized to a multiuser system using the same algebraic constellation and different spreading sequences. We also propose a linear multiuser detector based on the combination of linear decorrelation with respect to all users, and the application of the sphere decoder to decode each user separately. Finally, we consider the generalization to multipath fading channels where the additional diversity advantage due to multipath is exploited by the sphere decoder, and a method of blind channel estimation based on subspace decomposition is examined.