Miracle-dz/UniFAR-FTUs huggingface dataset:
Poincaré-Hopf theorem for hybrid systems

A generalization of the Poincar\'{e}-Hopf index theorem applicable to hybrid dynamical systems is obtained. For the hybrid systems considered, guard sets are not assumed to be smooth; distinct"modes"are not assumed to have constant dimension; and resets are arbitrary multivalued maps (relations).
Unsupervised Geodesic-preserved Generative Adversarial Networks for Unconstrained 3D Pose Transfer

With the strength of deep generative models, 3D pose transfer regains intensive research interests in recent years. Existing methods mainly rely on a variety of constraints to achieve the pose transfer over 3D meshes, e.g., the need for the manually encoding for shape and pose disentanglement. In this paper, we present an unsupervised approach to conduct the pose transfer between any arbitrate given 3D meshes. Specifically, a novel Intrinsic-Extrinsic Preserved Generative Adversarial Network (IEP-GAN) is presented for both intrinsic (i.e., shape) and extrinsic (i.e., pose) information preservation. Extrinsically, we propose a co-occurrence discriminator to capture the structural/pose invariance from distinct Laplacians of the mesh. Meanwhile, intrinsically, a local intrinsic-preserved loss is introduced to preserve the geodesic priors while avoiding the heavy computations. At last, we show the possibility of using IEP-GAN to manipulate 3D human meshes in various ways, including pose transfer, identity swapping and pose interpolation with latent code vector arithmetic. The extensive experiments on various 3D datasets of humans, animals and hands qualitatively and quantitatively demonstrate the generality of our approach. Our proposed model produces better results and is substantially more efficient compared to recent state-of-the-art methods. Code is available: https://github.com/ mikecheninoulu/Unsupervised_IEPGAN .
Localized Phonon Densities of States at Grain Boundaries in Silicon

Abstract Since it is now possible to record vibrational spectra at nanometer scales in the electron microscope, it is of interest to explore whether extended defects in crystals such as dislocations or grain boundaries will result in measurable changes of the phonon densities of states (dos) that are reflected in the spectra. Phonon densities of states were calculated for a set of high angle grain boundaries in silicon. The boundaries are modeled by supercells with up to 160 atoms, and the vibrational densities of states were calculated by taking the Fourier transform of the velocity–velocity autocorrelation function from molecular dynamics simulations with larger supercells doubled in all three directions. In selected cases, the results were checked on the original supercells by comparison with the densities of states obtained by diagonalizing the dynamical matrix calculated using density functional theory. Near the core of the grain boundary, the height of the optic phonon peak in the dos at 60 meV was suppressed relative to features due to acoustic phonons that are largely unchanged relative to their bulk values. This can be attributed to the variation in the strength of bonds in grain boundary core regions where there is a range of bond lengths.
De Sitter entropy as holographic entanglement entropy

We review the results of refs. [1,2], in which the entanglement entropy in spaces with horizons, such as Rindler or de Sitter space, is computed using holography. This is achieved through an appropriate slicing of anti-de Sitter space and the implementation of a UV cutoff. When the entangling surface coincides with the horizon of the boundary metric, the entanglement entropy can be identified with the standard gravitational entropy of the space. For this to hold, the effective Newton's constant must be defined appropriately by absorbing the UV cutoff. Conversely, the UV cutoff can be expressed in terms of the effective Planck mass and the number of degrees of freedom of the dual theory. For de Sitter space, the entropy is equal to the Wald entropy for an effective action that includes the higher-curvature terms associated with the conformal anomaly. The entanglement entropy takes the expected form of the de Sitter entropy, including logarithmic corrections.
Near-Field Wireless Power Transfer for 6G Internet of Everything Mobile Networks: Opportunities and Challenges

Radiating wireless power transfer (WPT) brings forth the possibility to cost-efficiently charge wireless devices without requiring a wiring infrastructure. As such, it is expected to play a key role in the deployment of limited-battery communicating devices, as part of the 6G-enabled Internet of Everything (IoE) vision. To date, radiating WPT technologies are mainly studied and designed assuming that the devices are located in the far-field region of the power radiating antenna, resulting in relatively low energy transfer efficiency. However, with the transition of 6G systems to mmWave frequencies combined with the use of large-scale antennas, future WPT devices are likely to operate in the radiating near-field (Fresnel) region. In this article, we provide an overview of the opportunities and challenges that arise from radiating near-field WPT. In particular, we discuss the possibility to realize beam focusing in near-field radiating conditions, and highlight its possible implications for WPT in future IoE networks. Furthermore, we overview some of the design challenges and research directions that arise from this emerging paradigm, including its simultaneous operation with wireless communications, radiating waveform considerations, hardware aspects, and operation with typical antenna architectures.
Channel Estimation for Extremely Large-Scale MIMO: Far-Field or Near-Field?

Extremely large-scale multiple-input-multiple-output (XL-MIMO) is promising to meet the high rate requirements for future 6G. To realize efficient precoding, accurate channel state information is essential. Existing channel estimation algorithms with low pilot overhead heavily rely on the channel sparsity in the angular domain, which is achieved by the classical far-field planar-wavefront assumption. However, due to the non-negligible near-field spherical-wavefront property in XL-MIMO, this channel sparsity in the angular domain is not achievable. Therefore, existing far-field channel estimation schemes will suffer from severe performance loss. To address this problem, in this paper, we study the near-field channel estimation by exploiting the polar-domain sparsity. Specifically, unlike the classical angular-domain representation that only considers the angular information, we propose a polar-domain representation, which simultaneously accounts for both the angular and distance information. In this way, the near-field channel also exhibits sparsity in the polar domain, based on which, we propose on-grid and off-grid near-field XL-MIMO channel estimation schemes. Firstly, an on-grid polar-domain simultaneous orthogonal matching pursuit (P-SOMP) algorithm is proposed to efficiently estimate the near-field channel. Furthermore, an off-grid polar-domain simultaneous iterative gridless weighted (P-SIGW) algorithm is proposed to improve the estimation accuracy. Finally, simulations are provided to verify the effectiveness of our schemes.
Visual Enhanced 3D Point Cloud Reconstruction from A Single Image

Solving the challenging problem of 3D object reconstruction from a single image appropriately gives existing technologies the ability to perform with a single monocular camera rather than requiring depth sensors. In recent years, thanks to the development of deep learning, 3D reconstruction of a single image has demonstrated impressive progress. Existing researches use Chamfer distance as a loss function to guide the training of the neural network. However, the Chamfer loss will give equal weights to all points inside the 3D point clouds. It tends to sacrifice fine-grained and thin structures to avoid incurring a high loss, which will lead to visually unsatisfactory results. This paper proposes a framework that can recover a detailed three-dimensional point cloud from a single image by focusing more on boundaries (edge and corner points). Experimental results demonstrate that the proposed method outperforms existing techniques significantly, both qualitatively and quantitatively, and has fewer training parameters.
Distributed Expectation Propagation Detection for Cell-Free Massive MIMO

In cell-free massive MIMO networks, an efficient distributed detection algorithm is of significant importance. In this paper, we propose a distributed expectation propagation (EP) detector for cell-free massive MIMO. The detector is composed of two modules, a nonlinear module at the central processing unit (CPU) and a linear module at the access point (AP). The turbo principle in iterative decoding is utilized to compute and pass the extrinsic information between modules. An analytical framework is then provided to characterize the asymptotic performance of the proposed EP detector with a large number of antennas. Simulation results will show that the proposed method outperforms the distributed detectors in terms of bit-error rate.
Density Sharpening: Principles and Applications to Discrete Data Analysis

This article introduces a general statistical modeling principle called “Density Sharpening” and applies it to the analysis of discrete count data. The underlying foundation is based on a new theory of nonparametric approximation and smoothing methods for discrete distributions which play a useful role in explaining and uniting a large class of applied statistical methods. The proposed modeling framework is illustrated using several real applications, from seismology to healthcare to physics.
An Experimental Urban Case Study with Various Data Sources and a Model for Traffic Estimation

A reliable estimation of the traffic state in a network is essential, as it is the input of any traffic management strategy. The idea of using the same type of sensors along large networks is not feasible; as a result, data fusion from different sources for the same location should be performed. However, the problem of estimating the traffic state alongside combining input data from multiple sensors is complex for several reasons, such as variable specifications per sensor type, different noise levels, and heterogeneous data inputs. To assess sensor accuracy and propose a fusion methodology, we organized a video measurement campaign in an urban test area in Zurich, Switzerland. The work focuses on capturing traffic conditions regarding traffic flows and travel times. The video measurements are processed (a) manually for ground truth and (b) with an algorithm for license plate recognition. Additional processing of data from established thermal imaging cameras and the Google Distance Matrix allows for evaluating the various sensors’ accuracy and robustness. Finally, we propose an estimation baseline MLR (multiple linear regression) model (5% of ground truth) that is compared to a final MLR model that fuses the 5% sample with conventional loop detector and traffic signal data. The comparison results with the ground truth demonstrate the efficiency and robustness of the proposed assessment and estimation methodology.
Existence of stationary vortex sheets for the 2D incompressible Euler equation

Abstract We construct a new type of planar Euler flows with localized vorticity. Let $\kappa _i\not =0$ , $i=1,\ldots , m$ , be m arbitrarily fixed constants. For any given nondegenerate critical point $\mathbf {x}_0=(x_{0,1},\ldots ,x_{0,m})$ of the Kirchhoff–Routh function defined on $\Omega ^m$ corresponding to $(\kappa _1,\ldots , \kappa _m)$ , we construct a family of stationary planar flows with vortex sheets that have large vorticity amplitude and concentrate on curves perturbed from small circles centered near $x_{0,i}$ , $i=1,\ldots ,m$ . The proof is accomplished via the implicit function theorem with suitable choice of function spaces.
Variation in the Essential Oil Content and its Composition in Eucalyptus cinerea Leaves and its Relation to Some Environmental Factors

Abstract Changes in temperatures, relative humidity and day length play an important role in the variation of essential oils contents and its compositions in medicinal and aromatic plants. In order to investigate the influence of seasonal variations on essential oil and its compositions, leaves of Eucalyptus cinerea harvested bimonthly (from July 2015 to May 2016). Essential oil was extracted from fresh and dried leaves by water distillation and its composition was determined by GC-MS analysis. Variation in temperatures, relative humidity and day length throughout different months markedly affected the quantity and quality of essential oil. Dry leaves yielded significantly higher essential oil than the corresponding samples of fresh leaves throughout all harvesting dates. The highest essential oil content was found in fresh (1.94%) and dried (3.19%) leaves harvested in September, while the lowest content of essential oil was found in fresh (0.98%) and dried (1.75%) leaves harvested in January. 1,8-cineole was the major constituent of essential oil in fresh (44.56 - 74.26%) and dried leaves (51.98 - 81.29%). The highest content of 1,8-cineole was determined in essential oil of leaves harvested in September. Essential oil and 1,8-cineole contents had positive and significant correlations with N and K leaves contents, while they had a negative and significant correlations with reducing sugar content in the leaves. Step-wise regression analysis showed that maximum, minimum and average temperatures as well as day length designated as the important environmental factors to explain variations of fresh and dry leaves essential oil contents.
Study of High-energy Ion Tail Formation with Second Harmonic ICRF Heating and NBI in LHD

Ion cyclotron range of frequencies (ICRF) heating is a good tool for the α-particle simulation of a future fusion reactor. In the Large Helical Device (LHD), enhancement of the high-energy ion tail formed by second harmonic ICRF heating by reducing the magnetic field strength was observed in the presence of energetic particles having a large Larmor radius supplied by a perpendicular NBI. Moreover, it was clarified by a pellet charge exchange (PCX) measurement that high-energy deeply trapped particles exist near the ion cyclotron resonance layer. The power modulation experiments clarified the large particle loss due to the large Larmor radius normalized by the plasma minor radius ρi*. The spectrum of the high-energy ion tail was consistent with the calculation by the GNET code in the ρi* region lower than 0.065. This experimental result supports the GNET simulation that α-particles will be well confined in the heliotron reactor.
X-Bot Badminton Shuttlecock Collector

—More and more people choose professional gymnasiums to practice badminton. The main way to collect and sort badminton shuttlecocks are by hand or mechanical machines. In order to improve the efficiency of collecting and sorting and save the salary paid for staff in gyms, we began the research of a semi-automatic robot, X-Bot. X-Bot can see, collect and sort the shuttlecocks much more quickly and help people relax while playing badmintons. With X-Bot, professional gymnasiums can decrease workload to save money. X-Bot consists of several components and is controlled by software. People can control the Bot by laptop or cell phone via a Wi-Fi connection. There is a chassis with move all wheels, a Raspberry Pi 3 B+ board, a brush and a pulley system in X-Bot. With the designed structure, X-Bot can collect and sort shuttlecocks in order in containers.
The complete mitochondrial genome of the Australian ghost bat Macroderma gigas

Abstract The Ghost bat Macroderma gigas is a monotypic bat species that is endemic to northern Australia and named on the basis of the large size of its partially conjoined ears. It is the only carnivorous bat found in Australia and its conservation status is currently listed as Vulnerable. Here, we describe the complete mitochondrial genome of M. gigas and compare it to other vertebrates. The M. gigas circularized mitogenome was 16,661 bp and contained 13 protein-coding genes, two rRNA genes, 22 tRNAs and a control region (D-loop) of 1228 bp. Phylogenetic analysis of available entire mitogenomes reveals that Macroderma gigas is most closely related to the Indian false vampire bat Megaderma lyra in the family Megadermatidae (false vampire bats).
Risk of aortic aneurysm and dissection following exposure to fluoroquinolones, common antibiotics, and febrile illness using a self-controlled case series study design: Retrospective analyses of three large healthcare databases in the US

Objective Recent observational studies suggest increased aortic aneurysm or dissection (AAD) risk following fluoroquinolone (FQ) exposure but acknowledge potential for residual bias from unreported patient characteristics. The objective of our study is to evaluate the potential association between FQ, other common antibiotics and febrile illness with risk of AAD using a self-controlled case series (SCCS) study design. Design Retrospective database analysis–SCCS. Setting Primary and Secondary Care. Study population 51,898 patients across 3 US claims databases (IBM® MarketScan® commercial and Medicare databases, Optum Clinformatics). Exposure FQ or other common antibiotics or febrile illness. Outcome AAD. Methods We studied patients with exposures and AAD between 2012 and 2017 in 3 databases. Risk windows were defined as exposure period plus 30 days. Diagnostic analyses included p-value calibration to account for residual error using negative control exposures (NCE), and pre-exposure outcome analyses to evaluate exposure-outcome timing. The measure of association was the incidence rate ratio (IRR) comparing exposed and unexposed time. Results Most NCEs produced effect estimates greater than the hypothetical null, indicating positive residual error; calibrated p (Cp) values were therefore used. The IRR following FQ exposure ranged from 1.13 (95% CI: 1.04–1.22 –Cp: 0.503) to 1.63 (95% CI: 1.45–1.84 –Cp: 0.329). An AAD event peak was identified 60 days before first FQ exposure, with IRR increasing between the 60- to 30- and 29- to 1-day pre-exposure periods. It is uncertain how much this pre-exposure AAD event peak reflects confounding versus increased antibiotic use after a surgical correction of AADs. Conclusion This study does not confirm prior studies. Using Cp values to account for residual error, the observed FQ-AAD association cannot be interpreted as significant. Additionally, an AAD event surge in the 60 days before FQ exposure is consistent with confounding by indication, or increased use of antibiotics post-surgery. Registration NCT03479736.
The complete chloroplast genome sequence of medicinal plant: Cynanchum thesioides (Asclepiadaceae)

Abstract Cynanchum thesioides is a medicinal plant. The complete chloroplast genome sequence of is 158,547 bp in length, contains 131 complete genes, including 85 protein-coding genes (85 PCGs), 8 ribosomal RNA genes (8 rRNAs), and 37 tRNA genes (37 tRNAs). The overall AT content of cp DNA is 62.1%, the corresponding values of the LSC, SSC, and IR regions are 63.7, 67.7, and 56.5%. Phylogenetic tree shows that C. thesioides was identified as the most divergent among the sequenced species of Cynanchum used.
Facile fabrication of hierarchical porous carbon for a high-performance electrochemical capacitor

The template method is often used to synthesize porous materials. However, removing the template during post-processing is difficult and harsh reagents are frequently used, which is unfavorable for the carbon structure. In this paper, a facile and green synthesis route is developed for the synthesis of a 3D honeycomb-like hierarchical porous carbon based on rapid thermal decomposition of the mixture of a low-cost carbon precursor (typically starch) and Na2CO3 followed by KOH activation, in which Na2CO3 particles are employed as the water-soluble renewable macroporous template. Benefiting from the high specific surface area (1171 m2 g−1) and the interconnected micro-, meso-, and macropores, the porous carbon exhibits superior capacitive performance, including high specific capacitance, good rate capability and excellent cycling stability. Moreover, the porous carbon-based symmetric supercapacitor delivers a maximum energy density of 33 W h kg−1 at 100 W kg−1 and presents excellent long-term cycling stability. Considering the easy-availability of the raw materials and the facile synthesis process, this environmentally friendly and cost-effective method can be expected to be widely applied, and we estimate that the obtained porous carbon could find additional applications in other fields.
Redox reactions of cytochrome c in isolated mitochondria exposed to blue or red lasers using resonance Raman spectroscopy

Resonance Raman spectroscopy of cytochrome c was used to follow reduction/oxidation (redox) states of isolated mitochondria in response to blue or red laser exposure. Mitochondria were isolated from hTERT-RPE1 cells and were kept in a buffer formulation known to be conducive to electron transport chain (ETC) activity. Using either pyruvate or succinate as substrates for ETC, we found differences in the redox responses of cytochrome c for different exposure laser irradiance and excitation wavelength. We anticipate that the proposed new method will be valuable in the study of metabolic processes in mitochondria in response to low level laser exposure, and thus aid in elucidating the mechanism(s) of photobiomodulation.
Characterization of Red Seaweed Extracts Treated by Water, Acid and Alkaline Solutions

Abstract Seaweed contained health functional polysaccharides and polyphenols. Five extracts were prepared from red seaweed Melanothamnus somalensis; two of these were aqueous at 20°C (F1) and 70°C (F2), followed by acid (F3), alkali (F4) and acid-washed (F5) treatments. Molecular characteristics of extracts were measured by high-performance liquid chromatography and Fourier transform infrared (FTIR) analyses. Health functionality was determined by sulfate and polyphenol contents, and thermal characteristics were determined by modulated differential scanning calorimetry. Extract F3 contained the highest levels of sulfate followed by F2, F1, F4 and F5, respectively. Similarly, F3 contained the highest polyphenol followed by F4, F2, F1 and F5, respectively. Molecular weight distribution of F1 showed wider distribution of sizes (MW: 1.0 × 103 – 3.0 × 107), and F5 showed a sharp peak (MW: 3.1 × 103); whereas F2, F3 and F4 indicated bimodal distribution. FTIR indicated that all fractions contained agar except F5 and sulfate ester group was attached to carbon 6 of the saccharide.