Miracle-dz/UniFAR-FTUs huggingface dataset:
Electric field-induced polarization rotation and ultrahigh piezoelectricity in PbTiO3

Polarization rotation, phase changes, and piezoelectric property of PbTiO3 under high electric field have been investigated using a Landau-Ginzburg-Devonshire phenomenological approach. Electric field versus temperature phase diagram has been constructed. Tetragonal (T)-monoclinic (MA)-rhombohedral (R) phase transition occurs when electric field is applied along pseudo-cubic [111] axis, and piezoelectric coefficient d33 is remarkably enhanced near the critical electric field for MA-R transition. With electric field applied along pseudo-cubic [011] axis, the polarization rotation involves the other two monoclinic phases (MB and MC), and ultrahigh d33 over 8000 pC/N has been found at the monoclinic-orthorhombic (M-O) transition region. The critical field for M-O transition (∼1000 MV/m) can be greatly lowered under hydrostatic pressure. Based on the reported strain gradient induced polarization rotation in epitaxial film, flexoelectric coefficient μ12 of PbTiO3 is estimated to be ∼156–312 nC/m at room temper.
Repairing Triple Data Erasure with Extending Row Diagonal Parity

With the advent of the Big Data era, the amount of data stored has increased exponentially in recent years. In such an era, data storage security has become a significant challenge. As the volume of data increases, many data erasures during storage are inevitable. There has been a lot of research into dual fault-tolerant error correction code methods. EVENODD codes, Row Diagonal Parity (RDP) codes, and Horizontal-Diagonal Parity (HDP) codes can implement dual fault-tolerant data distribution. These self-correction codes allow up to two parts of the source code to be erased and the erased parts to be recovered. However, in many cases, it is not enough to fix two figures. This paper focuses on Extending Row Diagonal Parity (E-RDP) to cope with three or more data erasures. This data structure can efficiently recover three erasures based on RDP, which inherits the advantages of RDP. This article will explain the encoding process of E-RDP in detail, show an intuitive decoding method, and discuss the performance of E-RDP at the end.
Neutron star envelopes

We point out that the separate study of neutron star envelopes is a valuable technique for gaining insights into neutron star cooling calculations. We show that, to an excellent approximation, the temperature at the inner boundary of the envelope, T/sub b/, is a function only of T/sup 4//sub s//g/sub s/, where T/sub s/ is the effective temperature and g/sub s/ is the surface gravity. This result enables us to investigate very simply the effects of general relativity and of opacity changes on the T/sub b/-T/sub s/ relation, and also to compare calculations by different workers, even though they use different neutron star models. We also show that the most important opacity source for obtaining a reliable T/sub b/-T/sub s/ relation is the conductive opacity of matter when the ions are liquid. We present calculations in which we pay particular attention to this region and use the best available opacities.
Congestion Control for Datacenter Networks: A Control-Theoretic Approach

In this article, we present <italic>RoCC</italic>, a robust congestion control approach for datacenter networks based on RDMA. <italic>RoCC</italic> leverages switch queue size as an input to a PI controller, which computes the fair data rate of flows in the queue. The PI parameters are self-tuning to guarantee stability, rapid convergence, and fair and near-optimal throughput in a wide range of congestion scenarios. Our simulation and DPDK implementation results show that <italic>RoCC</italic> can achieve up to <inline-formula><tex-math notation="LaTeX">$7\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>7</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="menikkumbura-ieq1-3259799.gif"/></alternatives></inline-formula> reduction in PFC frames generated under high load levels, compared to DCQCN. At the same time, <italic>RoCC</italic> can achieve <inline-formula><tex-math notation="LaTeX">$1.7-4.5\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>1</mml:mn><mml:mo>. </mml:mo><mml:mn>7</mml:mn><mml:mo>-</mml:mo><mml:mn>4</mml:mn><mml:mo>. </mml:mo><mml:mn>5</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="menikkumbura-ieq2-3259799.gif"/></alternatives></inline-formula> and <inline-formula><tex-math notation="LaTeX">$1.4-3.9\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>1</mml:mn><mml:mo>. </mml:mo><mml:mn>4</mml:mn><mml:mo>-</mml:mo><mml:mn>3</mml:mn><mml:mo>. </mml:mo><mml:mn>9</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="menikkumbura-ieq3-3259799.gif"/></alternatives></inline-formula> lower tail latency for long flows and <inline-formula><tex-math notation="LaTeX">$2.1-7\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>2</mml:mn><mml:mo>. </mml:mo><mml:mn>1</mml:mn><mml:mo>-</mml:mo><mml:mn>7</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="menikkumbura-ieq4-3259799.gif"/></alternatives></inline-formula> and <inline-formula><tex-math notation="LaTeX">$3.5-8.2\times$</tex-math><alternatives><mml:math><mml:mrow><mml:mn>3</mml:mn><mml:mo>. </mml:mo><mml:mn>5</mml:mn><mml:mo>-</mml:mo><mml:mn>8</mml:mn><mml:mo>. </mml:mo><mml:mn>2</mml:mn><mml:mo>×</mml:mo></mml:mrow></mml:math><inline-graphic xlink:href="menikkumbura-ieq5-3259799.gif"/></alternatives></inline-formula> lower tail latency for short flows, compared to DCQCN and HPCC, respectively. We also find that <italic>RoCC</italic> does not require PFC. The functional components of <italic>RoCC</italic> can be efficiently implemented in P4 and FPGA-based switch hardware.
An inverse time-dependent source problem for a time-fractional diffusion equation

This paper is devoted to identifying a time-dependent source term in a multi-dimensional time-fractional diffusion equation from boundary Cauchy data. The existence and uniqueness of a strong solution for the corresponding direct problem with homogeneous Neumann boundary condition are firstly proved. We provide the uniqueness and a stability estimate for the inverse time-dependent source problem. Then we use the Tikhonov regularization method to solve the inverse source problem and propose a conjugate gradient algorithm to find a good approximation to the minimizer of the Tikhonov regularization functional. Numerical examples in one-dimensional and two-dimensional cases are provided to show the effectiveness of the proposed method.
Real-space representation of uniaxial magnetic anisotropy of ferromagnetic metals with non-periodic structures

A real-space representation of magnetic anisotropy (MA) in metallic ferromagnets is formulated in a d-orbital tight-binding model. By adopting the second-order perturbation for the spin–orbit interaction (SOI), which takes into account the direction of magnetisation, the lowest order of the uniaxial MA constant Ku ? > is expressed in terms of non-local Green’s functions and the matrix elements of the SOI. The non-local Green’s functions are calculated using a symmetry-conserving recursive method. The validity of the method is examined by comparing the results obtained with those calculated by the first-principles method. The method is applied to calculate layer- or site-resolved Ku ? > near body-centred cubic (bcc) Fe and face-centred cubic Ni surfaces with various surface structures. We find that surface resonant states contribute considerably to the uniaxial MA of bcc Fe thin films. Moreover, it is shown that the uniaxial MA is determined by rather short-range atomic configurations.
Comparison of Mobile AdHoc Network Routing Protocols Based on NS3

Mobile Ad Hoc Networks (MANETs) operate without fixed infrastructures or a central access point. In MANET, the nodes are constantly moving at various speeds, resulting in unpredictable network topologies and path transmission. AODV, OLSR and BATMAN protocols are frequently used for route selection in MANET. In order to compare three routing protocols, three scenarios are created by changing the pause time, moving speed, and the number of nodes. Simulation results show that BATMAN, and OLSR perform well in networks with frequent changes in network topology, AODV has great advantages in fast mobile networks, and OLSR performs well in large-scale networks. Finally, according to the experimental results, the performance of the three protocols, such as packet delivery rate (PDR), end-to-end delay, and mean hops, is evaluated and analyzed.
Transmission of Exosomal TPX2 Promotes Metastasis and Resistance of NSCLC Cells to Docetaxel

Background Lung cancer, most of which is non-small cell lung cancer (NSCLC), is the most common tumor in the world, and drug resistance, as a major problem in clinical treatment, has attracted extensive attention. However, the role and mechanism of Targeting protein for Xenopus kinesin-like protein 2 (TPX2), which is highly expressed in NSCLC, is still unclear. Methods Bioinformatics analysis was used to analyze the relationship between TPX2 and the clinicopathological features of NSCLC. Stable TPX2 overexpression cell lines with were constructed by lentivirus infection, and the effect of TPX2 on proliferation, migration, invasion and chemoresistance to docetaxel was characterized by the CCK8, wound healing, transwell, colony formation assay and FACS. An in vivo lung homing mouse model was used to further confirmed the role of TPX2 on metastasis. Exosomes were extracted by differential centrifugation from the culture supernatant, and their functions were investigated by co-culture with tumor cells. Gene expression was detected via Western blot and real time PCR (RT-qPCR). Results Overexpression of TPX2 was related to the poor prognosis of NSCLC. Promoted migration, invasion and metastasis, and reduced the sensitivity of NSCLC cells to docetaxel. The abundance of TPX2 can be packaged in vesicles and transported to other cells. In addition, overexpression of TPX2 induced the accumulation of β-catenin and C-myc. Conclusion Our findings indicated that intercellular transfer of exosomal TPX2 triggered metastasis and resistance against to docetaxel in lung cancer cells, through activating downstream WNT/β-catenin signaling pathway.
Lois de Zipf et sources markoviennes

© Gauthier-Villars, 1978, tous droits réservés. L’accès aux archives de la revue « Annales de l’I. H. P., section B » (http://www.elsevier.com/locate/anihpb) implique l’accord avec les conditions générales d’utilisation (http://www.numdam.org/legal.php). Toute utilisation commerciale ou impression systématique est constitutive d’une infraction pénale. Toute copie ou impression de ce fichier doit contenir la présente mention de copyright.
Network Information Flow Delay Prediction Based On InbandNetwork Telemetry and Deep Learning

Network delay is a basic measure of computer network QoS. Accurate network delay prediction can provide a very necessary technical support for the formulation of real-time network application strategy. Unfortunately, the traditional network delay prediction technology can not meet this requirement. This paper focuses on the study of fine-grained time delay prediction for network information flow, which is typical spatio-temporal data. Firstly, the fine-grained parameters of network information flow are obtained and transformed by using the in-band measurement technology. Secondly, Combining with the spatio-temporal characteristics of network information flow, this paper proposes a multi-time scale fusion network delay prediction model, namely Nefopame, which is based on improved LSTM and GCN. This model accurately captures the spatio-temporal correlation of network information flow, and analyzes and predicts the network queuing delay. Experiments on real network information flow data sets show that our Nefopame achieves more accurate delay prediction results than other benchmark programs.
Effectiveness of Repetitive Transcranial Magnetic Stimulation (rTMS) Add-On Therapy to a Standard Treatment in Individuals with Multiple Sclerosis and Concomitant Symptoms of Depression—Results from a Randomized Clinical Trial and Pilot Study

Background: Compared to the general population, persons with multiple sclerosis (MS) are at increased risk of suffering from major depressive disorder (MDD). Repetitive Transcranial Magnetic Stimulation (rTMS) was used successfully to treat individuals with MDD. Here, we conducted a randomized clinical trial and pilot study, and tested the effectiveness of rTMS adjuvant to a standard pharmacological treatment among persons with MS, compared to a sham condition. Materials and Methods: A total of 40 persons with MS (mean age: 32 years; 42.5% females; median EDSS score: 4) and with moderate to severe symptoms of depression were randomly assigned to the rTMS or to the rTMS sham condition, always as adjuvant intervention to the standard treatment with sertraline, a selective serotonin reuptake inhibitor (SSRI). rTMS consisted of 10 sessions each of 37.5 min; the sham condition was identical to the active condition except for the absence of rTMS stimuli. At the beginning and two weeks after the end of the study, participants reported on their fatigue, while experts rated the severity of participants’ depressive symptoms (Montgomery–Asberg Depression Rating Scale; MADRS), cognitive performance (Montreal Cognitive Assessment; MoCA), and degree of disability (Expanded Disability Status Scale; EDSS). Results: Data were analyzed per intent-to-treat. Scores for depression, fatigue, and EDSS declined significantly over time (large effect sizes), but more so in the rTMS condition than in the sham condition (large effect sizes for the time by group-interactions). Compared to the sham condition, scores for depression were significantly lower in the rTMS condition. Scores for cognition improved over time in both study conditions (large effect size). Conclusion: Compared to a sham condition, adjuvant rTMS to a standard pharmacological treatment ameliorated typical MS-related symptoms (depression; fatigue; EDSS scores). Results from this pilot study suggested that rTMS might be routinely applied in persons with MS displaying symptoms of depression and fatigue.
Is Cardiorespiratory Fitness Independently Associated with Fatigue in Patients with Transient Ischemic Attack or Minor Stroke?

Fatigue is a common complaint and a disabling symptom among patients following transient ischemic attack (TIA) or minor stroke. In patients with stroke, decreased cardiorespiratory fitness (CRF) is believed to be related to increased severity of post-stroke fatigue (PSF). However, this association between PSF and CRF in patients with TIA or minor stroke has been less investigated, and currently there is no proven treatment for PSF. We aimed to determine the association between PSF and CRF in patients with TIA or minor stroke and to find out whether this association was distorted by confounders. A cross-sectional association study was conducted among a total of 119 patients with TIA or minor stroke. PSF was measured by the Fatigue Severity Scale (FSS) and CRF was quantified by maximal exercise capacity (V̇O2max). The FSS showed a significant association with V̇O2max (ß = −0.061, SE: 0.022; p = 0.007). This association was confounded by anxiety (ß = −0.044, SE: 0.020; p = 0.028) and depression (ß = −0.030, SE: 0.022; p = 0.177) as measured by the subscales of the Hospital Anxiety and Depression Scale (HADS). After controlling for HADS scores on depression and anxiety, the univariate relationship between V̇O2max and FSS was no longer significant. These results suggest that the association between PSF and CRF in patients with TIA or minor stroke is weak and significantly confounded by the factors of depression and anxiety.
POLARIZATION FLUCTUATIONS DEMONSTRATE NONLINEAR ANISOTROPY OF A VERTICAL-CAVITY SEMICONDUCTOR LASER

We report observation of polarization ﬂuctuations in vertical-cavity semiconductor lasers, which allows us to demonstrate and quantify the importance of nonlinear polarization anisotropy. We focus on three aspects, which all ﬁt within the same theoretical framework: (i) a nonlinear spectral redshift, (ii) an extra four-wave mixing peak in the optical spectrum, and (iii) correlations between the polarization ﬂuctuations. [S0031-9007(98)06185-7]
Research on Quantitative Comprehensive Evaluation Method of Regulation Ability of Low-Voltage Distributed Renewable Energy Aggregators

Facing the massive low-voltage distributed energy access to the distribution network. , aiming at the flexible regulation of the distribution network. , and taking the participation of distributed resource aggregators in the power auxiliary service market as the background. , a multi-level comprehensive evaluation index for the regulation capability and quality of Distributed Renewable Energy aggregators including “Target layer - Criterion / Index layer- Sub criteria / Index layer - Scheme layer” is established. , and it is integrated with the matter-element extension evaluation through Analytic Hierarchy Process (AHP). , The quantitative comprehensive evaluation of indicators has been completed. Finally. , the operation data of two resource aggregators are evaluated. , and the effectiveness of the proposed method is verified by comparing with the traditional fuzzy comprehensive evaluation method.
Modeling and Prediction of Vehicle Trajectory in the Internet of Vehicles

In view of the continuous improvement of people's quality of life and the gradual increase of the number of cars in the city, the driving safety and efficiency of traditional cars have become a common concern. Whether it is some advanced driving assistance systems or auto drive system, it is an indispensable part of the whole system to accurately predict the future trajectory of other vehicles in the driving environment. Therefore, this paper studies the modeling and prediction of vehicle trajectory based on the Internet of vehicles. A multi task learning method is proposed, and the vehicle trajectory modeling and prediction based on multi task learning are discussed. At the same time, the analysis and modeling of vehicle collision warning at intersections are studied. Finally, by testing the impact of the dimension of the activity area on the trajectory coordinate prediction performance, it is verified that the model proposed in this paper can achieve better results, and the prediction performance of the model with auxiliary tasks is better than that without auxiliary tasks, it is of great significance to the driving safety and efficiency of vehicles in the future.
Cardiovascular Disease Prediction Based on an Improved Dendritic Neuron Model

Cardiovascular diseases (CVDs) are not only an epidemic but also have a high mortality rate. Predicting the onset of CVDs in advance can significantly reduce mortality rates. However, researchers have found it difficult to quickly and accurately diagnose CVDs. In this study, we employed the whale genetic algorithm (WGA) to train an improved dendritic neuron model (DNM) for CVD prediction. Specifically, due to the powerful optimization performance of the WGA, the dendritic neuron model can converge quickly and yield a high classification performance. Three benchmark datasets related to CVDs are used to verify the proposed WGA-DNM. We compare WGA with five optimization algorithms to verify whether it can serve as an effective training method. In addition, we also compare the proposed WGA-DNM with five classical classifiers to assess its classification capabilities. The experimental outcomes show that the proposed WGA-DNM performs well based on various metrics and can provide decision support for the diagnosis of CVDs.
NCCN in TMC-1 and IRC+10216

We employ quantum chemical calculations using the CBS-RAD (‘Complete Basis Set ‐ Radicals’) technique on the C2N2H potential energy surface to show that the reaction of HNC with CN is a viable and plausible route to NCCN in cold astrophysical environments. We use detailed chemical kinetic models to predict the abundance of NCCN in TMC-1 and IRC+10216. Radio-astronomical detection of NCCN is precluded by its lack of a dipole moment. We discuss other prospects for its observation in interstellar and circumstellar environments, by space-borne infrared spectroscopy, indirectly by detection of the NCCNH + ion, or inferentially by detection of its higher-energy, polar isomer CNCN.
Improved Analytic Energy Operator and Novel Three-Spectral Line Interpolation DFT Method for Parameter Estimation of Voltage Flicker

An improved analytical energy operator (IAEO) and novel three-spectral line interpolation discrete Fourier method is proposed in this article to estimate voltage flicker parameter. First, the analytic energy operator is improved based on Taylor series to better extract the amplitude and frequency features of voltage flicker envelope signal, and simplify the envelope extraction formula to avoid the square root operation. Then, a novel three-spectral line interpolation discrete Fourier transform (DFT) algorithm is constructed by using Kaiser window and Blackman-Harris mutual convolution, and the amplitude and frequency correction formulas of voltage flicker are derived based on the novel three-spectral line interpolation DFT. Finally, the voltage flicker parameter estimation is realized on the virtual instrument based on the proposed method. The applicability and accuracy of the IAEO and novel three-spectral line interpolation DFT method for parameter estimation of voltage flicker are verified by a series of simulations and experiments.
A PSEUDO-SPECTRAL NUMERICAL SCHEME FOR THE SIMULATION OF STEADY AND OSCILLATING WALL-BOUNDED FLOWS

The objective of the present work is to present and validate a pseudo-spectral numerical scheme based on a variational formulation for the solution of three-dimensional, time-dependent wall-bounded forced and natural convective flows. One of the novel aspects of this numerical scheme is the use of rescaled Legendre-Lagrangian interpolants to represent the velocity and temperature in one direction. These interpolants were obtained by dividing the Legendre Lagrangian interpolants of same order by the square root of the corresponding weight used for Gauss-Lobatto quadrature. Results from two specific problems are presented as part of the validation process: Rayleigh-Bénard convection and steady and unsteady channel flow driven by an external oscillating streamwise pressure gradient.