Miracle-dz/UniFAR-FTUs huggingface dataset:
Loschmidt echo and momentum distribution in a Kitaev spin chain

We investigate the Loschmidt echo in a one-dimensional spin chain having Kitaev-type interaction in constant and kicked magnetic ﬁelds. The Loschmidt echo for the initial states having diﬀerent magnon excitations shows long-time revivals for smaller chains and has short-time revival peaks for the longer chains. The system near the critical point shows peculiarly long-time revival peaks of the Loschmidt echo for relatively larger chains. The presence of a magnon in the initial state aﬀects the Loschmidt echo revival peaks. The momentum distribution function exhibits maxima for a few momenta that are associated with the momentum of the magnon excitation present in the initial states. The probability maxima decay as O (1 /N ) with the system size. For the Hamiltonian with kicked magnetic ﬁelds, the Loschmidt echo depends on the kick period. For a special kick period, the Loschmidt echo shows no evolution at all irrespective of the system size.
Galactic Token Sliding

Given a graph $G$ and two independent sets $I_s$ and $I_t$ of size $k$, the independent set reconfiguration problem asks whether there exists a sequence of $k$-sized independent sets $I_s = I_0, I_1, I_2, \ldots, I_\ell = I_t$ such that each independent set is obtained from the previous one using a so-called reconfiguration step. Viewing each independent set as a collection of $k$ tokens placed on the vertices of a graph $G$, the two most studied reconfiguration steps are token jumping and token sliding. In the token jumping variant of the problem, a single step allows a token to jump from one vertex to any other vertex in the graph. In the token sliding variant, a token is only allowed to slide from a vertex to one of its neighbors. Like the independent set problem, both of the aforementioned problems are known to be W[1]-hard on general graphs. A very fruitful line of research has showed that the independent set problem becomes fixed-parameter tractable when restricted to sparse graph classes, such as planar, bounded treewidth, nowhere-dense, and all the way to biclique-free graphs. Over a series of papers, the same was shown to hold for the token jumping problem. As for the token sliding problem, which is mentioned in most of these papers, almost nothing is known beyond the fact that the problem is polynomial-time solvable on trees and interval graphs. We remedy this situation by introducing a new model for the reconfiguration of independent sets, which we call galactic reconfiguration. Using this new model, we show that (standard) token sliding is fixed-parameter tractable on graphs of bounded degree, planar graphs, and chordal graphs of bounded clique number. We believe that the galactic reconfiguration model is of independent interest and could potentially help in resolving the remaining open questions concerning the (parameterized) complexity of token sliding.
Cryptocurrency Return Prediction Using Investor Sentiment Extracted by BERT-Based Classifiers from News Articles, Reddit Posts and Tweets

the ten best-performing models for Bitcoin and Ethereum, four and six models, respectively, use the sentiment features. Also, the highest test accuracy is achieved by models that include sentiment features, for both cryptocurrencies. These results indicate that the sentiment features are contributing positively to the predictive performance of the models, and more importantly to trading returns above the random scenario baseline. Given that the features are generated from aggregated sentiment extracted from information with a relative long-term lag to the actual closing price used, these results are promising.
3DeformRS: Certifying Spatial Deformations on Point Clouds

3D computer vision models are commonly used in security-critical applications such as autonomous driving and surgical robotics. Emerging concerns over the robustness of these models against real-world deformations must be addressed practically and reliably. In this work, we propose 3DeformRS, a method to certify the robustness of point cloud Deep Neural Networks (DNNs) against real-world deformations. We developed 3DeformRS by building upon recent work that generalized Randomized Smoothing (RS) from pixel-intensity perturbations to vector-field deformations. In particular, we specialized RS to certify DNNs against parameterized deformations (e.g. rotation, twisting), while enjoying practical computational costs. We leverage the virtues of 3DeformRS to conduct a comprehensive empirical study on the certified robustness of four representative point cloud DNNs on two datasets and against seven different deformations. Compared to previous approaches for certifying point cloud DNNs, 3DeformRS is fast, scales well with point cloud size, and provides comparable-to-better certificates. For instance, when certifying a plain PointNet against a 3° z-rotation on 1024-point clouds, 3DeformRS grants a certificate 3× larger and 20× faster than previous work 11Code:https://github.com/gaperezsa/3DeformRS.
Learning Design and Construction with Varying-Sized Materials via Prioritized Memory Resets

Can a robot autonomously learn to design and construct a bridge from varying-sized blocks without a blueprint? It is a challenging task with long horizon and sparse reward - the robot has to figure out physically stable design schemes and feasible actions to manipulate and transport blocks. Due to diverse block sizes, the state space and action trajectories are vast to explore. In this paper, we propose a hierarchical approach for this problem. It consists of a reinforcement-learning designer to propose high-level building instructions and a motion-planning-based action generator to manipulate blocks at the low level. For high-level learning, we develop a novel technique, prioritized memory resetting (PMR) to improve exploration. PMR adaptively resets the state to those most critical configurations from a replay buffer so that the robot can resume training on partial architectures instead of from scratch. Furthermore, we augment PMR with auxiliary training objectives and fine-tune the designer with the locomotion generator. Our experiments in simulation and on a real deployed robotic system demonstrate that it is able to effectively construct bridges with blocks of varying sizes at a high success rate. Demos can be found at https://sites.google. com/view/bridge-pmr.
Operad structures in geometric quantization of the moduli space of spatial polygons

The moduli space of spatial polygons is known as a symplectic manifold equipped with both Kähler and real polarizations. In this paper, associated to the Kähler and real polarizations, morphisms of operads f K ¥ ah and f re are constructed by using the quantum Hilbert spaces ℋ K ¥ ah and ℋ re , respectively. Moreover, the relationship between the two morphisms of operads f K ¥ ah and f re is studied and then the equality dim ℋ K ¥ ah = dim ℋ re is proved in general setting. This operadic framework is regarded as a development of the recurrence relation method by Kamiyama[6] for proving dim ℋ K ¥ ah = dim ℋ re in a special case.
A Survey of Commodity WiFi Sensing in 10 Years: Current Status, Challenges, and Opportunities

—The prevalence of WiFi devices and ubiquitous coverage of WiFi networks provide us the opportunity to extend WiFi capabilities beyond communication, particularly in sensing the physical environment. In this paper, we survey the evolution of WiFi sensing systems utilizing commodity devices over the past decade. It groups WiFi sensing systems into three main cat-egories: activity recognition (large-scale and small-scale), object sensing, and localization. We highlight the milestone work in each category and the underline techniques they adopted. Next, this work presents the challenges faced by existing WiFi sensing systems. Lastly, we comprehensively discuss the future trending of commodity WiFi sensing.
Hydrodynamic signatures and spectral properties of the quantum vortex

We characterize the low-lying excitations of a quantum vortex in a quasi-two-dimensional Bose-Einstein condensate (BEC) using the standard definition of the density of states (DOS) and a modified version that is sensitive to complementary aspects of the excitation's spectrum. The latter proves to be particularly relevant to studying the polaronic state realized when an impurity is embedded in a quantum vortex. We establish that the impurity becomes sensitive to the transversal fluctuations of the vortex, via its remnant kelvon mode, and to the phase fluctuations of the BEC Nambu-Goldstone mode. The presence of the vortex yields an anomalous excitation spectrum with a finite energy gap and non-linear DOS at low energies. We find that the high sensitivity of the kelvon mode to external potentials provides a channel of quantum-level control over impurities trapped in a vortex. This extra control channel may be of practical use for the proposal of using vortex-trapped impurities as qubit units for quantum information processing.
Generation Of Dc-dc Converters With Wide Conversion Range Based On The Multistate Switching Cell

This paper presents the conception of six nonisolated dc-dc converters with wide conversion range based on the multistate switching cell. In order to achieve wide conversion range, the multiphase transformer that is part of the multistate switching cell aggregates coupled secondary windings with controlled rectifiers, which are then connected in series. Then, it is possible to minimize the voltage stresses across the switches, allowing the use of MOSFETs (Metal Oxide Semiconductor Field Effect Transistor) with reduced on-resistance RDS(on), thus implying the significant improvement of the converter efficiency. The operation principle, qualitative analysis, quantitative analysis, and design procedure are properly presented. A 3 kW experimental prototype is also developed, with input and output voltages equal to 84 V and 400 V, respectively. Some important results are then discussed in order to validate the theoretical assumptions. 
To Study Cardiac Sympathetic Autonomic Dysfunction in Patients with Metabolic Syndrome

: Introduction: Autonomic neuropathy in metabolic syndrome can cause disturbances in the function of cardiovascular, gastrointestinal, and genitourinary systems. Cardiac autonomic neuropathy results from damage to the autonomic nerve fibers to the heart. Metabolic syndrome and its association with cardiovascular autonomic neuropathy is an overlooked but important subject and known to be associated with a disability in coping with daily activities, a wide spectrum of cardiovascular problems and predicting cardiovascular mortality . Materials and methods: A case control study at a tertiary healthcare hospital. The study was conducted. A total 50 cases were included in the study satisfying the inclusion criteria , 50 subjects of age and sex matched; not satisfying IDF criteria of metabolic syndrome were selected for the study as control. Results: In present study of 100 samples the distribution of prevalence of cardiac sympathetic dysfunction differs significantly between two study groups (P-value<0.05). Significantly higher proportion of subjects from Cases group(16 out of 50 - 32%) had higher prevalence of dysfunction compared to the subjects from Controls group (6 out of 50 - 12%) (Pvalue<0.05). Conclusion: Metabolic syndrome unfavorably affects the cardiac autonomic function by causing sympathovagal imbalance with augmented sympathetic activity.
Genetic and Chemical Profiling of Solenopsis spp. (Hymenoptera: Formicidae) Intercepted in Hawaii

Summary Ants intercepted by the Hawaii Department of Agriculture in 2018 and 2019 identified as Solenopsis spp. , and possibly S. invicta, were submitted to the United States Department of Agriculture-Agricultural Research Service-Center for Medical, Agricultural and Veterinary Entomology, Imported Fire Ant and Household Insects Research Unit for further taxonomic assessment using genetic and chemical methods. The 2018 sample consisted of 1 worker ant, and the 2019 sample consisted of 3 worker ants. Thoraces were used for genetic assessment and gasters were used for venom analyses. It was determined readily from genetic and chemical analyses that the intercepted ants were not S. invicta or S. richteri. Mitochondrial COX1 gene sequences were compared with previously published data from Solenopsis species. The closest match for the 2018 sample was S. xyloni, which is native to the shipment's origin (San Diego, California, USA). The 2 major alkaloids found were characteristic of the S. geminata species group. In addition, the alkaloid ratio closely matched that of S. xyloni. Therefore, the alkaloid analysis of the 2018 intercepted ant concurs with the genetic data that the ant was an S. xyloni worker. The COX1 gene sequences of the 2019 interceptions most closely matched S. geminata. The corresponding venom alkaloid profile also eliminated S. invicta and S. richteri as possibilities. However, 1 major alkaloid was unusual (Fig. 2) and normally is found only in trace amounts. We suggest the 2019 specimens are an unusual variant of S. geminata.
High-Resolution Chrono-Transcriptome of Lactococcus lactis Reveals That It Expresses Proteins with Adapted Size and pI upon Acidification and Nutrient Starvation

This data set is a rich resource for microbiologists interested in common mechanisms of gene expression, regulation and in particular the physiology of L. lactis. Thus, similar to the common use of genome sequence data by the scientific community, the data set constitutes an extensive data repository for mining and an opportunity for bioinformaticians to develop novel tools for in-depth analysis. ABSTRACT Whole-genome transcriptional analyses performed on microorganisms are traditionally based on a small number of samples. To map transient expression variations, and thoroughly characterize gene expression throughout the growth curve of the widely used model organism Lactococcus lactis MG1363, gene expression data were collected with unprecedented time resolution. The resulting gene expression patterns were globally analyzed in several different ways to demonstrate the richness of the data and the ease with which novel phenomena can be discovered. When the culture moves from one growth phase to another, gene expression patterns change to such an extent that we suggest that those patterns can be used to unequivocally distinguish growth phases from each other. Also, within the classically defined growth phases, subgrowth phases were distinguishable with a distinct expression signature. Apart from the global expression pattern shifts seen throughout the growth curve, several cases of short-lived transient gene expression patterns were clearly observed. These could help explain the gene expression variations frequently observed in biological replicates. A method was devised to estimate a measure of unnormalized/absolute gene expression levels and used to determine how global transcription patterns are influenced by nutrient starvation or acidification of the medium. Notably, we inferred that L. lactis MG1363 produces proteins with on average lower pIs and lower molecular weights as the medium acidifies and nutrients get scarcer. IMPORTANCE This data set is a rich resource for microbiologists interested in common mechanisms of gene expression, regulation and in particular the physiology of L. lactis. Thus, similar to the common use of genome sequence data by the scientific community, the data set constitutes an extensive data repository for mining and an opportunity for bioinformaticians to develop novel tools for in-depth analysis.
Gamma Pseudo Random Number Generators

The generation of random values corresponding to an underlying Gamma distribution is a key capability in many areas of knowledge, such as Probability and Statistics, Signal Processing, or Digital Communication, among others. Throughout history, different algorithms have been developed for the generation of such values and advances in computing have made them increasingly faster and more efficient from a computational point of view. These advances also allow the generation of higher-quality inputs (from the point of view of randomness and uniformity) for these algorithms that are easily tested by different statistical batteries such as NIST, Dieharder, or TestU01 among others. This article describes the existing algorithms for the generation of (independent and identically distributed—i.i.d.) Gamma distribution values as well as the theoretical and mathematical foundations that support their validity.
What is the Nature of the Dynamics between Government Spending and Aggregate Output in the Nordic Countries?

Abstract The main aim of this paper is to examine the relationship between government consumption and aggregate output in five Nordic countries in two different scenarios: first, in periods when government consumption increases and, second, in periods when government consumption decreases. Therefore, the nonlinear ARDL model is applied to test for the presence of a short-run and long-run asymmetry in output response to government consumption. The key findings are as follows. First, based on the linear model, a positive connection between government consumption and economic activity has been confirmed, both in the short and long term, which is also in line with the predictions of economic theory. Second, based on the nonlinear model, six out of ten short-term coefficients are statistically significant, as are six out of ten long-term coefficients, with statistically significant asymmetry detected in four out of ten cases. Thus, estimated test statistics and graphical analysis suggest the presence of a negatively inclined asymmetry in the relationship between government consumption and the dynamic of aggregate output with stronger output response in periods when government consumption decreases.
Asymmetry in stochastic volatility models with threshold and time-dependent correlation

Abstract In this work we study the effects by including threshold, constant and time-dependent correlation in stochastic volatility (SV) models to capture the asymmetry relationship between stock returns and volatility. We develop SV models which include only time-dependent correlated innovations and both threshold and time-dependent correlation, respectively. It has been shown in literature that the SV model with only constant correlation does a better job of capturing asymmetry than threshold stochastic volatility (TSV) model. We show here that the SV model with time-dependent correlation performs better than the model with constant correlation on capturing asymmetry, and the comprehensive model with both threshold and time-dependently correlated innovations dominates models with pure threshold, constant and time-dependent correlation, and both threshold and constant correlation as well. In our comprehensive model, volatility and returns are time-dependently correlated, where the time-varying correlation is negative, and the volatility is more persistent, less volatile and higher following negative returns as expected. An empirical study is provided to illustrate our findings.
Design and development of novel 1,2,3-triazole chalcone derivatives as potential anti-osteosarcoma agents via inhibition of PI3K/Akt/mTOR signalling pathway

Abstract Osteosarcoma (OS) is an uncommon tumour that mainly affects bone in children and adolescents. The current treatment options of OS are of limited significance due to their immense side effects. In the present manuscript, we have developed a novel series of 1,2,3-triazole chalcone derivatives as potential agents against OS. The compounds were synthesized and evaluated for their PI3K and mTOR inhibitory activity using luminescent kinase assay, and Lance ultra assay, resp. The entire set of compounds showed significant to moderate inhibition of both kinases in the nanomolar range. The three most active compounds: 4e (N-(4-(3-(1-(4-bromophenyl)-1H-1,2,3-triazol-4-yl)acryloyl)phenyl)-4-nitrobenzamide), 4f (N-(4-(3-(1-(4-bromophenyl)-1H-1,2,3-triazol-4-yl)acryloyl)phenyl)-4-chlorobenzamide) and 4g (4-bromo-N-(4-(3-(1-(4-bromophenyl)-1H-1,2,3-triazol-4-yl)acryloyl)phenyl)benzamide), were evaluated for anticancer activity against human OS cancer cell line (MG-63), liver cancer cell line (HepG2), lung cancer cell line (A549) and cervical cancer (HeLa), using MTT assay. Among the tested series, compound 4e showed a better inhibitory profile than gedatolisib against PI3K and was approximately comparable to that of gedatolisib against mTOR. The most significant inhibitory activity was observed for compound 4e against all cell lines (MG-63, HepG2, A549 and HeLa), still somewhat lower to comparable to that of gedatolisib, but with the highest potency against MG-63 cells. Compound 4e was further tested for anti-cancer activity against other OS cells and showed to be equipo-tent to gedatolisib against U2OS and Saos-2 cells. Moreover, it was also found non-toxic to normal cells (BEAS-2B and MCF 10A). The effect of compound 4e was further determined on apoptosis of Saos-2 cells by Annexin-PI assay, where it significantly amplified the percentage of apoptotic cells. Novel 1,2,3-triazole chalcone derivatives are potential agents against OS.
Interference of internal waves due to two point vortices: linear analytical solution and nonlinear interaction

In this work, we consider steady two-dimensional interfacial waves in a two-layer stratified fluid, which is induced by a vortex pair located in the lower layer of the fluids. A mathematical model based on the boundary integral equation method and the potential-flow theory is established. The linear analytical solution for the linearized model is given in the form of Cauchy integral and then asymptotic behaviour for large x is presented. The fully nonlinear model is solved by the Jacobian-free Newton–Krylov (JFNK) method numerically. Nonlinear characteristics of wave profiles are identified compared with the linear results under different vortex strengths and the distance between the vortex pair. The amplitude of steady downstream waves is found to vary periodically with respect to the distance of the vortex pair, which can be regarded as the interference between waves produced by each vortex. For equal-strength counter- and co-rotating pairs, the downstream wave heights of linear solutions can be eliminated for some special values of the distance between point vortices, namely, the destructive interference occurs. Meanwhile, the wave only exists between the vortex pair like trapped waves. So does the nonlinear counterpart for counter-rotating pairs, but it could not be diminished with any distance.
A multi-scale investigation of the human communication system's response to visual disruption

In human communication, when the speech is disrupted, the visual channel (e.g. manual gestures) can compensate to ensure successful communication. Whether speech also compensates when the visual channel is disrupted is an open question, and one that significantly bears on the status of the gestural modality. We test whether gesture and speech are dynamically co-adapted to meet communicative needs. To this end, we parametrically reduce visibility during casual conversational interaction and measure the effects on speakers' communicative behaviour using motion tracking and manual annotation for kinematic and acoustic analyses. We found that visual signalling effort was flexibly adapted in response to a decrease in visual quality (especially motion energy, gesture rate, size, velocity and hold-time). Interestingly, speech was also affected: speech intensity increased in response to reduced visual quality (particularly in speech-gesture utterances, but independently of kinematics). Our findings highlight that multi-modal communicative behaviours are flexibly adapted at multiple scales of measurement and question the notion that gesture plays an inferior role to speech.