Miracle-dz/UniFAR-FTUs huggingface dataset:
Ouabain-Induced Changes in the Expression of Voltage-Gated Potassium Channels in Epithelial Cells Depend on Cell–Cell Contacts

Ouabain is a cardiac glycoside, initially isolated from plants, and currently thought to be a hormone since some mammals synthesize it endogenously. It has been shown that in epithelial cells, it induces changes in properties and components related to apical–basolateral polarity and cell–cell contacts. In this work, we used a whole-cell patch clamp to test whether ouabain affects the properties of the voltage-gated potassium currents (Ik) of epithelial cells (MDCK). We found that: (1) in cells arranged as mature monolayers, ouabain induced changes in the properties of Ik; (2) it also accelerated the recovery of Ik in cells previously trypsinized and re-seeded at confluence; (3) in cell–cell contact-lacking cells, ouabain did not produce a significant change; (4) Na+/K+ ATPase might be the receptor that mediates the effect of ouabain on Ik; (5) the ouabain-induced changes in Ik required the synthesis of new nucleotides and proteins, as well as Golgi processing and exocytosis, as evidenced by treatment with drugs inhibiting those processes; and (5) the signaling cascade included the participation of cSrC, PI3K, Erk1/2, NF-κB and β-catenin. These results reveal a new role for ouabain as a modulator of the expression of voltage-gated potassium channels, which require cells to be in contact with themselves.
A spiral galaxy's mass distribution uncovered through lensing and dynamics

We investigate the matter distribution of a spiral galaxy with a counter-rotating stellar core, SDSS J1331+3628 (J1331), independently with gravitational lensing and stellar dynamical modelling. By fitting a gravitational potential model to a quadruplet of lensing images around J1331's bulge, we tightly constrain the mass inside the Einstein radius R_ein = (0.91 +/- 0.02)'' (~= 1.83 +/- 0.04 kpc) to within 4%: M_ein = (7.8 +/- 0.3) x 10^10 M_Sun. We model observed long-slit major axis stellar kinematics in J1331's central regions by finding Multi-Gaussian Expansion (MGE) models for the stellar and dark matter distribution that solve the axisymmetric Jeans equations. The lens and dynamical model are independently derived, but in very good agreement with each other around ~R_ein. We find that J1331's center requires a steep total mass-to-light ratio gradient. A dynamical model including an NFW halo (with virial velocity v_200 ~= 240 +/- 40 km/s and concentration c_200 ~= 8 +/- 2) and moderate tangential velocity anisotropy (beta_z ~= -0.4 +/- 0.1) can reproduce the signatures of J1331's counter-rotating core and predict the stellar and gas rotation curve at larger radii. However, our models do not agree with the observed velocity dispersion at large radii. We speculate that the reason could be a non-trivial change in structure and kinematics due to a possible merger event in J1331's recent past.
Discovery of Balmer broad absorption lines in the quasar LBQS 1206+1052

We report the discovery of Balmer broad absorption lines (BALs) in the quasar LBQS 1206+1052 and present a detailed analysis of the peculiar absorption line spectrum. Besides the Mg II λλ2796, 2803 doublet, BALs are also detected in the He I* multiplet at λλ2946, 3189, 3889 Å arising from the metastable helium 23S level, and in Hα and Hβ from the excited hydrogen H I* n = 2 level, which are rarely seen in quasar spectra. We identify two components in the BAL troughs of Δυ ∼2000 km s−1 width: One component shows an identical profile in H I*, He I* and Mg II with its centroid blueshifted by −υc ≈ 726 km s−1. The other component is detected in He I* and Mg II with − υc ≈ 1412 km s−1. We estimate the column densities of H I*, He I*, and Mg II, and compare them with possible level population mechanisms. Our results favor the scenario that the Balmer BALs originate in a partially ionized region with a column density of NH ∼ 1021 − 1022 cm-2 for an electron density of ne ∼ 106 − 108 cm-3 via Lyα resonant scattering pumping. The harsh conditions needed may help to explain the rarity of Balmer absorption line systems in quasar spectra. With an i-band PSF magnitude of 16.50, LBQS 1206+1052 is the brightest Balmer-BAL quasar ever reported. Its high brightness and unique spectral properties make LBQS 1206+1052 a promising candidate for follow-up high-resolution spectroscopy, multi-band observations, and long-term monitoring.
MERIDIONAL TILT OF THE STELLAR VELOCITY ELLIPSOID DURING BAR BUCKLING INSTABILITY

The structure and evolution of the stellar velocity ellipsoid play an important role in shaping galaxies undergoing bar-driven secular evolution and the eventual formation of a boxy/peanut bulge such as is present in the Milky Way. Using collisionless N-body simulations, we show that during the formation of such a boxy/peanut bulge, the meridional shear stress of stars, which can be measured by the meridional tilt of the velocity ellipsoid, reaches a characteristic peak in its time evolution. It is shown that the onset of a bar buckling instability is closely connected to the maximum meridional tilt of the stellar velocity ellipsoid. Our findings bring a new insight to this complex gravitational instability of the bar which complements the buckling instability studies based on orbital models. We briefly discuss the observed diagnostics of the stellar velocity ellipsoid during such a phenomenon.
Air Pollution and Maximum Temperature Are Associated with Neurodevelopmental Regressive Events in Autism Spectrum Disorder

Neurodevelopmental regression (NDR) is an enigmatic event associated with autism spectrum disorder (ASD) during which a child loses previously acquired skills and develops ASD symptoms. In some, a trigger which precedes the NDR event, such as a fever, can be identified, but in many cases no trigger is obvious. We hypothesize that air pollution (PM2.5) may trigger NDR, especially in those children without an identified trigger. Average daily PM2.5, ozone, precipitation and maximum temperature (Tmax) were derived from Environmental Protection Agency models and National Oceanic and Atmospheric Administration monitors based on zip-code information from 83 ASD participants during the six-weeks following the onset month of an NDR event and a reference period defined as one year before and one year after the event. Seasonally adjusted logistic regression (LR) and linear mixed models (LMM) compared cases (with a history of NDR) and matched controls (without a history of NDR). LR models found that the risk of NDR was related to higher PM2.5 during 3 to 6 weeks of the NDR event period, particularly in those without a trigger. Overall, both models converged on NDR being related to a higher PM2.5 and lower Tmax both during the NDR event period as well as the reference period, particularly in those without a known trigger. This temporal pattern suggests that environmental triggers, particularly PM2.5, could be related to NDR, especially in those without an identifiable trigger. Further studies to determine the underlying biological mechanism of this observation could help better understand NDR and provide opportunities to prevent NDR.
Radio observations of the first three-months of Fermi AGN at 4.8 GHz

Using the Urumqi 25 m radio telescope, sources from the first three months of the Fermi-large area telescope detected active galactic nuclei (AGN) catalog with a declination of > 0° were observed in 2009 at 4.8 GHz. The radio flux density appeared to correlate with the γ-ray intensity. Intra-day variability (IDV) observations were performed in March, April and May 2009 for 42 selected γ-ray bright blazars, and ∼60% of them showed evidence of flux variability at 4.8 GHz during the IDV observations. The IDV detection rate was higher than that in previous flat-spectrum AGN samples. IDV appeared more often in the very long baseline interferometry-core dominant blazars, and the non-IDV blazars showed relatively “steeper" spectral indices than the IDV blazars. Pronounced inter-month variability was also found in two BL Lac objects: J0112+2244 and J0238+1636.
Heralded generation of entanglement with coupled cavities

We propose a scheme to generate two-photon, two-atom, or atom-photon entangled states with a coupled system of two cavities. In our scheme, two cavity photons are exchanged by the direct intercavity coupling, while atoms in the cavities simply generate and probe them. By virtue of the high efficiency of atomic state measurement, this method enables the realization of efficient heralded entanglement generation which is robust against photon loss, which greatly facilitates applications in quantum-information processing.
Integrating the external enablers of new venture creation theory into practice: A simulation approach for teaching entrepreneurship

Abstract Theory and practice in entrepreneurship education are still a subject of research. This paper proposes a simulation in which, based on the External Enablers of New Venture Creation approach, students can translate environmental changes generated by the unbalancing conditions of the Covid-19 pandemic into strategic entrepreneurial actions. The practice-based approach grounded in actionable theory is chosen to build our simulation. The exercise is carried out through the business model canvas because of its practical value. Running the simulation proves to be helpful in teaching new theoretical approaches. The simulation also proves that new venture teams can impact more the conversion of environmental changes into strategic entrepreneurial actions than individual entrepreneurs.
Remarks on F\"ollmer's pathwise It\^o calculus

We extend some results about F\"ollmer's pathwise It\^o calculus that have only been derived for continuous paths to c\`adl\`ag paths with quadratic variation. We study some fundamental properties of pathwise It\^o integrals with respect to c\`adl\`ag integrators, especially associativity and the integration by parts formula. Moreover, we study integral equations with respect to pathwise It\^o integrals. We prove that some classes of integral equations, which can be explicitly solved in the usual stochastic calculus, can also be solved within the framework of F\"ollmer's calculus.
Fluctuation–dissipation relations in critical coarsening: crossover from unmagnetized to magnetized initial states

We study the non-equilibrium dynamics of the spherical ferromagnet quenched to its critical temperature, as a function of the magnetization of the initial state. The two limits of unmagnetized and fully magnetized initial conditions can be understood as corresponding to times that are respectively much shorter and much longer than a magnetization timescale, as in a recent field theoretical analysis of the n-vector model. We calculate exactly the crossover functions interpolating between these two limits, for the magnetization correlator and response and the resulting fluctuation–dissipation ratio (FDR). For d > 4 our results match those obtained recently from a Gaussian field theory. For d < 4, non-Gaussian fluctuations arising from the spherical constraint need to be accounted for. We extend our framework from the fully magnetized case to achieve this, providing an exact solution for the relevant integral kernel. The resulting crossover behaviour is very rich, with the asymptotic FDR X∞ depending non-monotonically on the scaled age of the system. This is traced back to non-monotonicities of the two-time correlator, themselves the consequence of large magnetization fluctuations on the crossover timescale. We correct a trivial error in our earlier calculation for fully magnetized initial states; the corrected FDR is consistent with renormalization group expansions to first order in 4 − d for the longitudinal fluctuations of the O(n) model in the limit n → ∞.
The effective protection protocol of single photon state from photon loss and decoherence

We design an effect protocol for protecting the single-photon entanglement from photon loss and decoherence. The protocol only requires some auxiliary single photons and the linear optical elements. By operating the protocol, the photon loss can be effectively decreased and the less entangled single photon state can be recovered to the maximally entangled state with some probability. Moreover, the polarization information encoded in the single photon state can be perfectly contained. The protocol can be realized under current experimental condition. As the single photon entanglement is quite important in quantum communication, this protocol may be useful in current and future quantum information processing.
Fluctuation- and interaction-induced instability of dark solitons in single and binary condensates

We show that the presence of soliton in a single-species condensate, at zero temperature, enhances the quantum depletion sufficient enough to induce dynamical instability of the system. We also predict that for two-species condensates, two Goldstone modes emerge in the excitation spectrum at phase separation. Of these, one is due to the presence of the soliton. We use Hartree-Fock-Bogoliubov theory with Popov approximation to examine the mode evolution, and demonstrate that when the anomalous mode collides with a higher energy mode it renders the solitonic state oscillatory unstable. We also report soliton induced change in the topology of the density profiles of the two-species condensates at phase-separation.
Mapping the Inclusion of Children and Youth With Disabilities in Media Literacy Research

The way we communicate and make meaning in a complex socio-technical infrastructure demands multiple literacies. Media-literate citizens must be able to create, evaluate and effectively use information, media, and technology. The pandemic context demanded increased online learning and work, highlighting the importance of media literacy in citizens’ lives. Although in recent years, crucial reforms have happened in education for children with disabilities, media education for them is residual and framed on medical concepts neglecting how disability is socially constructed. Aiming to map recent research (2015–2021) in the field of media literacy and children with disabilities, a systematic literature review was conducted. The number of articles obtained from a search for “media literacy and children” in the scientific databases (N = 1,175) supports the relevance of media literacy in research. Filtering these data for “children with disabilities” reveals an inexpressive sample, with 12 articles included in the study after the eligibility phase. The overall results indicate that this population is significantly underrepresented in media literacy research, explained by a low prevalence of studies with disabled children as an audience. Moreover, research designs have shown a greater focus on conceptual approaches, highlighting a deficit of fieldwork and tangible interventions. Strong ableist media discourses emerged as a barrier to the promotion of media literacy in this population, with a clear mismatch between media representations and the current disability paradigms, besides all the positive aspects of the actions registered in the sample.
Towards background independent quantum gravity with tensor models

We explore whether the phase diagram of tensor models could feature a pregeometric, discrete and a geometric, continuum phase for the building blocks of space. The latter are associated to rank d tensors of size N. We search for a universal large N scaling limit in a rank-3 model with real tensors that could be linked to a transition between the two phases. We extend the conceptual development and practical implementation of the flow equation for the pregeometric setting. This provides a pregeometric ‘coarse-graining’ by going from many microscopic to few effective degrees of freedom by lowering N. We discover several candidates for fixed points of this coarse graining procedure, and specifically explore the impact of a novel class of interactions allowed in the real rank-3 model. In particular, we explain how most universality classes feature dimensional reduction, while one candidate, involving a tetrahedral interaction, might potentially be of relevance for three-dimensional quantum gravity.
DATIC: A Data-Aware Time-Domain Computing-in-Memory-Based CNN Processor With Dynamic Channel Skipping and Mapping

Due to the low-power priority of analog delay-based computation, time-domain computing-in-memory (TD-CIM) presents a splendid potential for energy-constrained edge and IoT scenarios deploying convolutional neural networks (CNNs). However, the latency in delay-based computation is proportional to the numbers and values of multiplications-and-accumulations (MACs), bottlenecking the throughput of previous data-agnostic TD-CIM-based processors which compute complete convolutions in a fixed MAC mapping manner. First, some output activations in each layer of CNNs contribute less to the final classification results, which are insignificant and can be substituted by sums of partial MACs, with a marginal accuracy degradation. Thus, complete convolution computations lead to redundant MACs. Second, activations and weights vary with input images and models. Fixed MAC mapping leads to unbalanced MAC values on delay chains, causing long idle time and latency. To address that, we design a data-aware TD-CIM-based CNN processor, DATIC, with three techniques to reduce latency: 1) a channel-skipping TD-CIM macro to remove redundant MACs for insignificant output activations (IOAs), by storing activations stationary in SRAM bitcells and shifting weights to perform only imperative MACs; 2) a convolution-order programming unit to reduce overhead of skipping redundant MACs for IOAs with random positions on feature maps; and 3) an activation-weight-adaptive channel-mapping scheduler to balance the latency of delay chains by dynamically altering the convolution mapping manner. Implemented under TSMC 28-nm technology, DATIC achieves 622.9-GOPS throughput and 32.7-TOPS/W energy efficiency for ResNet-18 with 2-b weights and 8-b activations.
Implementation of Magnetoelectric Dipoles in Metasurfaces for 5G Applications

The well-known magnetoelectric dipole (ME-dipole) has huge adoption in antenna designs. In this paper, we manage to implement ME-dipoles in metasurfaces. The unit cell of an ME-dipole metasurface consists of a cross slot etched on the middle metal layer and an ME-dipole loaded on each side of the middle metal layer. The unit cell of an ME-dipole metasurface is designed based on the antenna theory, i.e., one ME-dipole works as a receiving antenna while the other ME-dipole works as a transmitting antenna. The metasurface is then formed by arraying these unit cells in a periodic grid with optimal cell size. Three ME-dipole metasurfaces, including a frequency selective surface (FSS), a polarizer, and a transmitarray, are presented to show the potential of the proposed metasurface design method. The proposed concept and the design method are validated using simulation as well as experiments.
A Comprehensive Review for Typical Applications Based Upon Unmanned Aerial Vehicle Platform

Unmanned aerial vehicles (UAVs) have been widely applied in military and civilian fields due to their flexibility and effectiveness. As a vital component of UAVs, the vision system has taken on great significance in different applications (e.g., autonomous landing, traffic surveillance, and disaster rescue) to attract widespread attention in recent years. Therefore, the automatic understanding of visual data collected from these air platforms becomes urgently needed in UAV systems. In this review, we revisit and summarize the recent techniques and developments for several typical UAV applications, including object detection, object tracking, and semantic segmentation. In addition, we also highlight the difficulties and subsequent orientations from different perspectives, which may stimulate future research and applications in the UAV vision era.
Tree-Level Amplitudes in N=8 Supergravity

We present an algorithm for writing down explicit formulas for all tree amplitudes in N=8 supergravity, obtained from solving the supersymmetric on-shell recursion relations. The formula is patterned after one recently obtained for all tree amplitudes in N=4 super Yang-Mills theory which involves nested sums of dual superconformal invariants. We find that all graviton amplitudes can be written in terms of exactly the same structure of nested sums with two modifications: the dual superconformal invariants are promoted from N=4 to N=8 superspace in the simplest manner possible--by squaring them--and certain additional nondual conformal gravity dressing factors (independent of the superspace coordinates) are inserted into the nested sums. To illustrate the procedure we give explicit closed-form formulas for all NMHV, NNMHV and NNNMV gravity superamplitudes.
Fully Convolutional and Feedforward Networks for The Semantic Segmentation of Remotely Sensed Images

This paper presents a novel semantic segmentation method of very high resolution remotely sensed images based on fully convolutional networks (FCNs) and feedforward neural networks (FFNNs). The proposed model aims to exploit the intrinsic multiscale information extracted at different convolutional blocks in an FCN by the integration of FFNNs, thus incorporating information at different scales. The purpose is to obtain accurate classification results with realistic data sets characterized by sparse ground truth (GT) data by taking benefit from multiscale and long-range spatial information. The final loss function is computed as a linear combination of the weighted cross-entropy losses of the FFNNs and of the FCN. The modeling of spatial-contextual information is further addressed by the introduction of an additional loss term which allows to integrate spatial information between neighboring pixels. The experimental validation is conducted with the ISPRS 2D Semantic Labeling Challenge data set over the city of Vaihingen, Germany. The results are promising, as the proposed approach obtains higher average classification results than the state-of-the-art techniques considered, especially in the case of scarce, suboptimal GTs.
Complete mitochondrial genome of Asian koel Eudynamys scolopaceus (Aves: Cuculiformes) from South Korea

Abstract In this study, we analyzed the complete mitochondrial genome of Eudynamys scolopaceus using Illumina and Pacbio next-generation sequencing. The total length of the mitogenome was 18,170 bp and contained 13 protein-coding genes (PCGs), two ribosomal RNAs, 22 transfer RNAs, a non-coding control region, and two repeat regions. The order of the genes and genome structure were the same as those in a previous publication in other Cuculidae species. A phylogenetic tree constructed with 13 PCGs indicated that E. scolopaceus is closely related to Urodynamis taitensis and genus Cuculus.
Bayesian Hierarchical Copula Models with a Dirichlet–Laplace Prior

We discuss a Bayesian hierarchical copula model for clusters of financial time series. A similar approach has been developed in recent paper. However, the prior distributions proposed there do not always provide a proper posterior. In order to circumvent the problem, we adopt a proper global–local shrinkage prior, which is also able to account for potential dependence structures among different clusters. The performance of the proposed model is presented via simulations and a real data analysis.