Emerging evidence have illustrated the vital roles of long noncoding RNAs (lncRNAs) in glioma. Nevertheless, majority their and mechanisms gliomagenesis are still largely unclear. In this study, we investigate lncRNA CASC9 on glioma tumourigenesis authenticate its potential mechanisms. Results manifested that was highly expressed specimens cells, moreover, ectopic overexpression correlated with patients' clinic. Functional studies found siRNA-mediated silencing inhibited proliferative...

N6-methyladenosine (m6A) has been identified to exert critical roles in human cancer; however, the regulation of m6A modification on glioblastoma multiforme (GBM) and long non-coding RNA (lncRNA) CASC9 (cancer susceptibility 9) is still unclear. Firstly, MeRIP-Seq revealed profile GBM. Moreover, m6A-related lncRNA expression was significantly elevated GBM tissue its ectopic high associated with poor survival, acting as an independent prognostic factor for patients. Functionally, aerobic...

Learning effective representations of text words has long been a research focus in natural language processing and other machine learning tasks. In many early tasks, word is often represented by one-hot vector discrete manner. Such solution not only restricted the dimension curse, but also unable to reflect semantic relationships between words. Recent developments on low-dimension continuous words, known as embedding, which can be easily applied downstream tasks such translation, inference,...

Quantum many-body scarred systems host special nonthermal eigenstates that support periodic revival dynamics and weakly break the ergodicity. Here, we study quantum information scrambling in systems, with a focus on ``PXP'' model. We use out-of-time-ordered correlator (OTOC) Holevo as measures of apply an efficient numerical method based matrix product operators to compute them up 41 spins. find both OTOC exhibit linear light cone oscillations inside for initial states within subspace, which...

Novel view synthesis is an essential functionality for enabling immersive experiences in various Augmented- and Virtual-Reality (AR/VR) applications, which Neural Radiance Field (NeRF) has emerged as the state-of-the-art (SOTA) technique. In particular, generalizable NeRFs have gained increasing popularity thanks to their cross-scene generalization capability, enables be instantly serviceable new scenes without per-scene training. Despite promise, aggravate prohibitive complexity of due...

Quantum many-body scarred systems host nonthermal excited eigenstates immersed in a sea of thermal ones. In cases where exact expressions for these special are not known, it is computationally demanding to distinguish them from their exponentially many neighbors. We propose matrix-product-state (MPS) algorithm, dubbed DMRG-$S$, extract such states at system sizes far beyond the scope diagonalization. Using this technique, we obtain Rydberg-blockaded chains up 80 sites and perform finite-size...

Abstract Background Fine operation has been an eternal topic in neurosurgery. There were many problems functional neurosurgery field with high precision requirements. Our study aims to explore the operability, accuracy and postoperative effect of robot‐assisted stereoelectroencephalography (SEEG) Methods We conducted a retrospective analysis patients epilepsy who underwent electrode implantation our hospital. From 2016 2019, center Hebei people's hospital implanted electrodes on 24 patients,...

Vision transformers (ViTs) have recently set off a new wave in neural architecture design thanks to their record-breaking performance various vision tasks. In parallel, fulfill the goal of deploying ViTs into real-world applications, robustness against potential malicious attacks has gained increasing attention. particular, recent works show that are more robust adversarial as compared with convolutional networks (CNNs), and conjecture this is because focus on capturing global interactions...

Abstract We report the exact dimer phase, in which ground states are described by product of singlet dimer, extended XYZ model generalizing isotropic Majumdar–Ghosh to fully anisotropic region. demonstrate that this phase can be realized even models when antiferromagnetic interaction along one three directions. This also supports different ferromagnetic (FM) phases, denoted as x -FM, y -FM and z polarized The boundaries between FM phases infinite-fold degenerate. breaking degeneracy either...

Topological orders and associated topological protected excitations with non-Abelian statistics have been widely explored in various platforms. The ${\mathbb{Z}}_{3}$ parafermions are regarded as the most natural generation of Majorana fermions to realize these orders. Here we investigate phase emergent ${\mathbb{Z}}_{2}$ spin phases an extended parafermion chain. This model exhibits a rich variety phases, including not only ferromagnetic phase, which supports anyon excitation, but also...

Eye tracking has become an essential human-machine interaction modality for providing immersive experience in numerous virtual and augmented reality (VR/AR) applications desiring high throughput (e.g., 240 FPS), small-form, enhanced visual privacy. However, existing eye systems are still limited by their: (1) large form-factor largely due to the adopted bulky lens-based cameras; (2) communication cost required between camera backend processor, thus prohibiting their more extensive...

Although the image object detection technology developed quickly, in videos has special conditions such as motion blur, video defocus, part occlusion, rare posture, and needs to keep target result consistent time. It cannot apply models directly on videos. In this paper, we proposed method based YOLO-v3 together with FlowNet 2.0 optical flow extraction network make full use of information frames. The Flow-guided Partial Warp operates at feature map level more accurate. order solve blur...

We present a compact mechanical micro-scanner architecture which has low dynamic deformation. demonstrate ±15° rotation angle via external piezoelectric actuation at 36 KHz with simulated peak-to-valley deformation of 200 nm.

Eye tracking has become an essential human–machine interaction modality in virtual reality (VR) and augmented (AR) applications requiring high throughput (e.g., more than 240 frames per second), small form factor, enhanced visual privacy. Existing eye systems have adopted bulky, lens-based cameras, thus suffer from both a large factor communication cost between the camera back-end processor. This work presents camera, algorithm, accelerator co-designed lensless system dubbed EyeCoD, which,...

Generalizable Neural Radiance Fields (GNeRF) are one of the most promising real-world solutions for novel view synthesis, thanks to their cross-scene generalization capability and thus possibility instant rendering on new scenes. While adversarial robustness is essential applications, little study has been devoted understanding its implication GNeRF. We hypothesize that because GNeRF implemented by conditioning source views from scenes, which often acquired Internet or third-party providers,...

The disordered many-body systems can undergo a transition from the extended ensemble to localized ensemble, known as localization (MBL), which has been intensively explored in recent years. Nevertheless, relation between Anderson (AL) and MBL is still elusive. Here we show that be regarded an infinite-dimensional AL with correlated disorder virtual lattice. We demonstrate this idea using XXZ model, excitation of $d$ spins over fully polarized phase single-particle model dimensional With...

The relaxation of a many-body system is still challenging problem that has not been well understood. In this work we exactly calculate the dynamics quantum $XY$ model with boundary dissipation, in which density matrix terms Majorana operators can be decoupled into independent subspaces ${\mathcal{K}}_{i}$ represented by different number fermions. characterized multiple timescales, and long-time limit it determined single-particle process typical timescale ${T}^{*}$. For bulk bands, find...

Quantum many-body scars are non-thermal excited eigenstates of non-integrable Hamiltonians, which could support coherent revival dynamics from special initial states when form an equally spaced tower in the energy spectrum. For open quantum systems, engineering scarred by a controlled coupling to environment remains largely unexplored. In this paper, we provide general framework exactly embed into decoherence-free subspaces Lindblad master equations. The dissipative manifest persistent...

We discover a variety of exact quantum many-body scars in higher-spin kinetically constrained models through the recently developed DMRG-S algorithm [Zhang et al., Phys. Rev. Lett. 131, 020402 (2023)]. Specifically, for PXP model on arbitrary bipartite lattices any spatial dimension, we find that are equidistantly spaced energy spectrum and exhibit similar structures to ground state Affleck-Kennedy-Lieb-Tasaki model. For one-dimensional Fermi-Hubbard with tilted potential certain parameter...

Despite the growing demand for tuningfoundation vision transformers (FViTs) on downstream tasks, fully unleashing FViTs' potential under data-limited scenarios (e.g., few-shot tuning) remains a challenge due to data-hungry nature. Common data augmentation techniques fall short in this context limited features contained tuning data. To tackle challenge, we first identify an opportunity FViTs tuning: pretrained themselves have already learned highly representative from large-scale pretraining...

Boosting the task accuracy of tiny neural networks (TNNs) has become a fundamental challenge for enabling deployment TNNs on edge devices, which are constrained by strict limitations in terms memory, computation, bandwidth, and power supply. To this end, we propose framework called NetDistiller to boost achievable treating them as subnetworks weight-sharing teacher constructed expanding number channels TNN. Specifically, target TNN model is jointly trained with via 1) gradient surgery tackle...