A Joint Time-Frequency Domain Transformer for multivariate time series forecasting.

In order to enhance the performance of Transformer models for long-term multivariate forecasting while minimizing computational demands, this paper introduces the Joint Time-Frequency Domain Transformer (JTFT). JTFT combines time and frequency domain representations to make predictions. The frequency domain representation efficiently extracts multi-scale dependencies while maintaining sparsity by utilizing a small number of learnable frequencies.

A photo-responsive self-healing hydrogel loaded with immunoadjuvants and MoS nanosheets for combating post-resection breast cancer recurrence.

Tumor recurrence after surgical resection remains a significant challenge in breast cancer treatment. Immune checkpoint blockade therapy, as a promising alternative therapy, faces limitations in combating tumor recurrence due to the low immune response rate. In this study, we developed an implantable photo-responsive self-healing hydrogel loaded with MoS nanosheets and the immunoadjuvant R837 (PVA-MoS-R837, PMR hydrogel) for generation of tumor-associated antigens at the post-surgical site of the primary tumor, enabling sustained and effective activation of the immune response.

Verifying Quantum Advantage Experiments with Multiple Amplitude Tensor Network Contraction.

The quantum supremacy experiment, such as Google Sycamore [F. Arute et al., Nature (London) 574, 505 (2019).

Aperiodic dynamical quantum phase transition in multi-band Bloch Hamiltonian and its origin.

We investigate the dynamical quantum phase transition (DQPT) in the multi-band Bloch Hamiltonian of the one-dimensional periodic Kitaev model, focusing on quenches from a Bloch band. By analyzing the dynamical free energy and Pancharatnam geometric phase (PGP), we show that the critical times of DQPTs deviate from periodic spacing due to the multi-band effect, contrasting with results from two-band models. We propose a geometric interpretation to explain this non-uniform spacing.

Gaussian Boson Sampling with Pseudo-Photon-Number-Resolving Detectors and Quantum Computational Advantage.

We report new Gaussian boson sampling experiments with pseudo-photon-number-resolving detection, which register up to 255 photon-click events. We consider partial photon distinguishability and develop a more complete model for the characterization of the noisy Gaussian boson sampling. In the quantum computational advantage regime, we use Bayesian tests and correlation function analysis to validate the samples against all current classical spoofing mockups.

Large-Scale Simulation of Full Three-Dimensional Flow and Combustion of an Aero-Turbofan Engine on Sunway TaihuLight Supercomputer.

Computational fluid dynamics- (CFD-) based component-level numerical simulation technology has been widely used in the design of aeroengines. However, due to the strong coupling effects between components, the numerical simulation of the whole engine considering the full three-dimensional flow and multi-component chemical reaction is still very difficult at present. Aimed at this problem, an efficient implicit solver, 'sprayDyMFoam' for an unstructured mesh, is developed in this paper based on the Sunway TaihuLight supercomputer.

Endogenous/Exogenous Nanovaccines Synergistically Enhance Dendritic Cell-Mediated Tumor Immunotherapy.

Traditional dendritic cell (DC)-mediated immunotherapy is usually suppressed by weak immunogenicity in tumors and generally leads to unsatisfactory outcomes. Synergistic exogenous/endogenous immunogenic activation can provide an alternative strategy for evoking a robust immune response by promoting DC activation. Herein, Ti C MXene-based nanoplatforms (termed MXP) are prepared with high-efficiency near-infrared photothermal conversion and immunocompetent loading capacity to form endogenous/exogenous nanovaccines.

Elastic Nanovaccine Enhances Dendritic Cell-Mediated Tumor Immunotherapy.

Nanovaccine-based immunotherapy (NBI) has the ability to initiate dendritic cell (DC)-mediated tumor-specific immune responses and maintain long-term antitumor immune memory. To date, the mechanism by which the mechanical properties of nanoparticles alter the functions of DCs in NBI remains largely unclear. Here, a soft mesoporous organosilica-based nanovaccine (SMONV) is prepared and the elasticity-dependent effect of the nanovaccine on the underlying DC-mediated immune responses is studied.

Microbiota analysis of peri-implant mucositis in patients with periodontitis history.

Objectives: To investigate the bacterial diversity in peri-implant plaques and the effect of periodontitis history on the occurrence of peri-implant mucositis.

Materials And Methods: Three groups of subgingival plaques were collected from peri-implant sulci in the first molar area. The three groups included healthy implants in patients without periodontitis (NH implant), healthy implants in patients with periodontitis history (PH implant), and peri-implant mucositis implants in patients with periodontitis history (PM implant).

An alternative surgical technique for varicoceles: a preliminary experience of the microsurgical spermatic (distal end)-inferior or superficial epigastric vein anastomosis in symptomatic varicoceles associated with perineal pain.

Many therapies are effective in treating varicoceles, including dilation of the pampiniform plexus in males. The most common method of treatment is varicocelectomy. We aimed to assess an alternative technique (microsurgical spermatic [distal end]-superficial or inferior epigastric vein anastomosis) that preserves the normal blood flow pattern for varicocele treatment.

Phase-Programmable Gaussian Boson Sampling Using Stimulated Squeezed Light.

We report phase-programmable Gaussian boson sampling (GBS) which produces up to 113 photon detection events out of a 144-mode photonic circuit. A new high-brightness and scalable quantum light source is developed, exploring the idea of stimulated emission of squeezed photons, which has simultaneously near-unity purity and efficiency. This GBS is programmable by tuning the phase of the input squeezed states.

Quantum computational advantage using photons.

Quantum computers promise to perform certain tasks that are believed to be intractable to classical computers. Boson sampling is such a task and is considered a strong candidate to demonstrate the quantum computational advantage. We performed Gaussian boson sampling by sending 50 indistinguishable single-mode squeezed states into a 100-mode ultralow-loss interferometer with full connectivity and random matrix-the whole optical setup is phase-locked-and sampling the output using 100 high-efficiency single-photon detectors.

Stem cell therapies for periodontal tissue regeneration: a network meta-analysis of preclinical studies.

Background: Periodontal tissue regeneration (PTR) is the ultimate goal of periodontal therapy. Currently, stem cell therapy is considered a promising strategy for achieving PTR. However, there is still no conclusive comparison that distinguishes clear hierarchies among different kinds of stem cells.

Molecular architecture of the luminal ring of the Xenopus laevis nuclear pore complex.

The nuclear pore complex (NPC) mediates the flow of substances between the nucleus and cytoplasm in eukaryotic cells. Here we report the cryo-electron tomography (cryo-ET) structure of the luminal ring (LR) of the NPC from Xenopus laevis oocyte. The observed key structural features of the LR are independently confirmed by single-particle cryo-electron microscopy (cryo-EM) analysis.

Quantum-Teleportation-Inspired Algorithm for Sampling Large Random Quantum Circuits.

Quantum teleportation transfers and processes quantum information through quantum entanglement channels. It is one of the most versatile protocols in quantum information science and leads to many remarkable applications, particularly the one-way quantum computing. Here, we show, for the first time, that the concept of teleportation can also be used to facilitate an important classical computing task, sampling random quantum circuits, which is highly relevant to prove the near-term demonstration of quantum computational supremacy.

Mouse Tumor-Bearing Models as Preclinical Study Platforms for Oral Squamous Cell Carcinoma.

Preclinical animal models of oral squamous cell carcinoma (OSCC) have been extensively studied in recent years. Investigating the pathogenesis and potential therapeutic strategies of OSCC is required to further progress in this field, and a suitable research animal model that reflects the intricacies of cancer biology is crucial. Of the animal models established for the study of cancers, mouse tumor-bearing models are among the most popular and widely deployed for their high fertility, low cost, and molecular and physiological similarity to humans, as well as the ease of rearing experimental mice.

Retrospective clinical analysis of risk factors associated with failed short implants.

Background: With advanced technology, short implants are more commonly used and have proven to have a relatively reliable curable efficacy. A consensus has not been reached regarding potential risk factors related to the loss of short implants.

Purpose: This large-sample retrospective study concentrated not only on patient characteristics and medical procedures but also on the features of implants in order to uncover the risk factors associated with short implants.

Risk factors and reoperative survival rate of failed narrow-diameter implants in the maxillary anterior region.

Background: Narrow-diameter implants (NDIs) have been proposed to address the dilemma of implant installation in cases of insufficient bone volume. However, the potential risk factors of failed NDIs, and whether reimplants with reliable efficacy are still controversial.

Purpose: This study aimed to evaluate the survival/success rate of NDIs in the maxillary anterior region and that of reimplants at the same site, as well as to explore the potential risk factors of original and replaced implants.

Satisfaction analysis of patients with single implant treatments based on a questionnaire survey.

The factors influencing satisfaction of the patients with implant treatments are still unclear. This study aims to evaluate the patients' satisfaction and to identify influencing factors, which will improve the medical quality of oral implantology. Patients who lost single teeth and received implant treatments were enrolled in Nanjing Stomatological Hospital between February 2016 and March 2018.

A particle-filter framework for robust cryo-EM 3D reconstruction.

Single-particle electron cryomicroscopy (cryo-EM) involves estimating a set of parameters for each particle image and reconstructing a 3D density map; robust algorithms with accurate parameter estimation are essential for high resolution and automation. We introduce a particle-filter algorithm for cryo-EM, which provides high-dimensional parameter estimation through a posterior probability density function (PDF) of the parameters given in the model and the experimental image. The framework uses a set of random support points to represent such a PDF and assigns weighting coefficients not only among the parameters of each particle but also among different particles.

Discovery of aminocyclohexene analogues as selective and orally bioavailable hNav1.7 inhibitors for analgesia.

hNav1.7 receives a lot of attention owing to its attractive mechanism of action in pain processing pathway. We have previously reported our design of a novel series of tetrahydropyridine analogues towards hNav1.

The discovery of tetrahydropyridine analogs as hNav1.7 selective inhibitors for analgesia.

hNav1.7 small molecular inhibitors have attracted lots of attention by its unique analgesic effect. Herein, we report the design and synthesis of a novel series of tetrahydropyridine analogs as hNav1.

Solving global shallow water equations on heterogeneous supercomputers.

The scientific demand for more accurate modeling of the climate system calls for more computing power to support higher resolutions, inclusion of more component models, more complicated physics schemes, and larger ensembles. As the recent improvements in computing power mostly come from the increasing number of nodes in a system and the integration of heterogeneous accelerators, how to scale the computing problems onto more nodes and various kinds of accelerators has become a challenge for the model development. This paper describes our efforts on developing a highly scalable framework for performing global atmospheric modeling on heterogeneous supercomputers equipped with various accelerators, such as GPU (Graphic Processing Unit), MIC (Many Integrated Core), and FPGA (Field Programmable Gate Arrays) cards.

[Prokaryotic expression of Hepatitis C Virus (HCV) NS3 protein and preparation of polyclonal antibody].

To increase detection sensitivity and specificity on hepatitis C virus (HCV) is vital for prevention and controlling of the disease. To establish a more reliable detection method for HCV diagnosis, the full gene fragment of ns3 (non-structural protein of HCV) from recombinant plasmid of J6/JFH1 2a was amplified and then connected into the pET-28a prokaryotic expression vector, and the latter was subsequently transformed into Escherichia coli BL21 (DE3) to have the target protein expression. As a result, a protein with a molecular weight of 72 kDa was obtained and visualized in 10% SDS-PAGE.