CGNet: A Complex-valued Graph Network for jointly learning amplitude-phase information in EEG-based brain-computer interfaces.

The synergy between amplitude and phase in electroencephalogram (EEG)-based brain-computer interfaces (BCIs) provides comprehensive and essential insights into neural oscillatory processes. However, constrained by real-valued computation paradigms, most deep learning methods have to process amplitude and phase independently, neglecting their crucial interaction mechanisms. To address this issue, we construct a Complex-valued Graph Network (CGNet) to capture comprehensive information from EEG signals, where both amplitude and phase information are encoded into the complex-valued representation.

Continuous wave mud pulse data transmission method based on continuous gradation frequency keying modulation and Convolution neural network demodulation.

Measurement While Drilling (MWD) technology plays a significant role in enhancing the geological steering and subsurface evaluation capabilities of extended-reach wells, challenging horizontal wells, and multilateral wells. With the increasing complexity of underground exploration, there is a heightened demand for the continuous wave mud pulse data transmission capacity. To address the inter-symbol interference(ISI) caused by the inherent inertia of the motor during high-speed data transmission using traditional modulation methods such as Frequency Shift Keying (FSK) and Phase Shift Keying (PSK), a novel approach has been proposed.

Enhancing diabetes risk prediction through focal active learning and machine learning models.

To improve the effectiveness of diabetes risk prediction, this study proposes a novel method based on focal active learning strategies combined with machine learning models. Existing machine learning models often suffer from poor performance on imbalanced medical datasets, where minority class instances such as diabetic cases are underrepresented. Our proposed Focal Active Learning method selectively samples informative instances to mitigate this imbalance, leading to better prediction outcomes with fewer labeled samples.

Establishing a New Benchmark in Quantum Computational Advantage with 105-qubit Zuchongzhi 3.0 Processor.

In the relentless pursuit of quantum computational advantage, we present a significant advancement with the development of Zuchongzhi 3.0. This superconducting quantum computer prototype, comprising 105 qubits, achieves high operational fidelities, with single-qubit gates, two-qubit gates, and readout fidelity at 99.

Liver-specific inactivation of Cideb improves metabolic profiles and ameliorates steatohepatitis and fibrosis in animal models for MASH.

Germline mutations of CIDEB, a lipid droplets (LDs)-associated protein, confer protection against various liver diseases in humans. It remains to be determined whether liver-specific inhibition of CIDEB will bring clinical benefits. We aim to establish pharmacological proof of concept by testing GalNAc-conjugated Cideb surrogate siRNAs in respective animal models of obesity and MASH and to develop siRNA drug candidates for clinical investigations.

Hypercomplex Graph Neural Network: Towards Deep Intersection of Multi-Modal Brain Networks.

The multi-modal neuroimage study has provided insights into understanding the heteromodal relationships between brain network organization and behavioral phenotypes. Integrating data from various modalities facilitates the characterization of the interplay among anatomical, functional, and physiological brain alterations or developments. Graph Neural Networks (GNNs) have recently become popular in analyzing and fusing multi-modal, graph-structured brain networks.

Analytical solution of a pollutant transport model for unsaturated soil considering the effects of consolidation and temperature.

The migration behavior of pollutants is affected by consolidation and temperature when using thermal desorption technology to clean contaminated sites. Based on a one-dimensional consolidation model for unsaturated soil and the traditional heat conduction equation, a pollutant transport model accounting for the combined effects of consolidation and temperature was established in this paper. An analytical solution was obtained by using the separation of variables method and the integral transformation method.

Manifold Learning-Based Common Spatial Pattern for EEG Signal Classification.

EEG signal classification using Riemannian manifolds has shown great potential. However, the huge computational cost associated with Riemannian metrics poses challenges for applying Riemannian methods, particularly in high-dimensional feature data. To address these, we propose an efficient ensemble method called MLCSP-TSE-MLP, which aims to reduce the computational cost while achieving superior performance.

Nonreciprocal excitation and entanglement dynamics of two giant atoms mediated by a waveguide.

We study the nonreciprocal excitation and entanglement dynamics of two giant atoms (GAs) coupling to a one-dimensional waveguide. With different positions of coupling points, three configurations of two separate GAs, two braided GAs, and two nested GAs are analyzed, respectively. The coupling strengths between different coupling points are considered as complex numbers with phases.

Protocol for in situ visualization of mitochondrial ROS and apoptosis in spatially confined cells and sample preparation for biochemical analysis.

Locomotion through spatially confining spaces is an important in vivo migration mode. Here, we present a protocol for in situ visualization of mitochondrial reactive oxygen species and apoptosis in cancer cells during confined migration. We then detail sample preparation of confined cells for transcriptome and immunoblotting analysis by using transwell chambers.

Frequency tunable single photon diode based on giant atom coupling to a waveguide.

The single photon scattering properties in a waveguide coupling to a giant atom with a three-level system are investigated theoretically. One of the transitions of the giant atom couples to the waveguide at two points while the other one is driven by a classical field. Using the analytical expressions of the single photon scattering amplitudes, the conditions for realizing perfect single photon nonreciprocal scattering are discussed in both Markovian regime and non-Markovian regime.

IGFBP1 Sustains Cell Survival during Spatially-Confined Migration and Promotes Tumor Metastasis.

Cell migration is a pivotal step in metastatic process, which requires cancer cells to navigate a complex spatially-confined environment, including tracks within blood vessels and in the vasculature of target organs. Here it is shown that during spatially-confined migration, the expression of insulin-like growth factor-binding protein 1 (IGFBP1) is upregulated in tumor cells. Secreted IGFBP1 inhibits AKT1-mediated phosphorylation of mitochondrial superoxide dismutase (SOD2) serine (S) 27 and enhances SOD2 activity.

Membrane behavior of clay considering the effect of fixed charges.

Membrane efficiency coefficient of clay is evaluated with considering the effect of fixed charges adsorbed on clay mineral surfaces. By virtue of the concept of chemical potential, the ionic concentration of pore water is calculated. An equation is first proposed to calculate the Donnan osmotic pressure based on the activity of water (HO), and then a new method is developed to determine the membrane efficiency coefficient, based on the theoretical chemo-osmotic pressure difference.

Laser Additively Manufactured Iron-Based Biocomposite: Microstructure, Degradation, and Cell Behavior.

A too slow degradation of iron (Fe) limits its orthopedic application. In this study, calcium chloride (CaCl) was incorporated into a Fe-based biocomposite fabricated by laser additive manufacturing, with an aim to accelerate the degradation. It was found that CaCl with strong water absorptivity improved the hydrophilicity of the Fe matrix and thereby promoted the invasion of corrosive solution.

DW-FBCSP: EEG emotion recognition algorithm based on scale distance weighted optimization.

Emotion calibration is measured by the valence and arousal scales and the ideal center is used to directly divide valence arousal into high scores and low scores. This division method has a big classification and labeling defect, and the influence of emotion stimulation material on the subjects cannot be accurately measured. To address this problem, this paper proposes an EEG emotion recognition algorithm (DW-FBCSP: Distance Weighted Filter Bank Common Spatial Pattern) based on scale distance weighted optimization to optimize the classification according to the distance of the scores from ideal center.

MiR-509-3p Induces Apoptosis and Affects the Chemosensitivity of Cervical Cancer Cells by Targeting the RAC1/PAK1/LIMK1/Cofilin Pathway.

Chemoresistance is one of the main factors of treatment failure of cervical cancer (CC). Here, we intended to discover the role and mechanism of miR-509-5p in the paclitaxel chemoresistance of CC cells. RT-PCR was conducted to verify miR-509-3p expression.

Macrophage-Associated PGK1 Phosphorylation Promotes Aerobic Glycolysis and Tumorigenesis.

Macrophages are a dominant leukocyte population in the tumor microenvironment and actively promote cancer progression. However, the molecular mechanism underlying the role of macrophages remains poorly understood. Here we show that polarized M2 macrophages enhance 3-phosphoinositide-dependent protein kinase 1 (PDPK1)-mediated phosphoglycerate kinase 1 (PGK1) threonine (T) 243 phosphorylation in tumor cells by secreting interleukin-6 (IL-6).

TGFβ signaling hyperactivation-induced tumorigenicity during the derivation of neural progenitors from mouse ESCs.

Clinical therapies of pluripotent stem cells (PSCs)-based transplantation have been hindered by frequent development of teratomas or tumors in animal models and clinical patients. Therefore, clarifying the mechanism of carcinogenesis in stem cell therapy is of great importance for reducing the risk of tumorigenicity. Here we differentiate Oct4-GFP mouse embryonic stem cells (mESCs) into neural progenitor cells (NPCs) and find that a minority of Oct4+ cells are continuously sustained at Oct4+ state.

Synergistic upregulation of NONO and PSPC1 regulates Sertoli cell response to MEHP via modulation of ALDH1A1 signaling.

Members of the Drosophila behavior/human splicing protein family, including splicing factor proline/glutamine rich (SFPQ), non-POU domain-containing octamer-binding protein (NONO), and paraspeckle protein component 1 (PSPC1), are abundantly expressed in testicular Sertoli cells (SCs), but their roles remain obscure. Here, we show that treatment with mono-(2-ethylhexyl) phthalate (MEHP), a well-known SC toxicant, selectively stimulates the expression levels of NONO and PSPC1. Simultaneous inhibition of NONO and PSPC1 expression in SCs enhances MEHP-induced oxidative stress and potentiates SC death.

Hepatitis B X-interacting protein promotes cisplatin resistance and regulates CD147 via Sp1 in ovarian cancer.

Ovarian cancer is the highest mortality rate of all female reproductive malignancies. Drug resistance is a major cause of treatment failure in malignant tumors. Hepatitis B X-interacting protein acts as an oncoprotein, regulates cell proliferation, and migration in breast cancer.

MicroRNA-145 Negatively Regulates Cell Proliferation Through Targeting IRS1 in Isolated Ovarian Granulosa Cells From Patients With Polycystic Ovary Syndrome.

Polycystic ovary syndrome (PCOS) is a complex, heterogeneous endocrine and metabolic disorder affecting 5% to 10% of reproductive-age women. A high rate of granulosa cell (GC) proliferation contributes to the abnormal folliculogenesis in patients with PCOS. Evidence has proved that dysregulation of microRNAs is involved in the pathogenesis of PCOS.

Galectin-3 induces ovarian cancer cell survival and chemoresistance via TLR4 signaling activation.

Paclitaxel resistance becomes common in patients with aggressive ovarian cancer and results in recurrence after conventional therapy. Galectin-3 is a multifunctional lectin associated with cell migration, cell proliferation, cell adhesion, and cell-cell interaction in tumor cells. Whether circulating galectin-3 is involved in paclitaxel resistance in ovarian cancer remains unknown.

BRIP1 inhibits the tumorigenic properties of cervical cancer by regulating RhoA GTPase activity.

Breast cancer 1, early onset (BRCA1)-interacting protein 1 (BRIP1), a DNA-dependent adenosine triphosphatase and DNA helicase, is required for BRCA-associated DNA damage repair functions, and may be associated with the tumorigenesis and aggressiveness of various cancers. The present study investigated the expression of BRIP1 in normal cervix tissues and cervical carcinoma via reverse transcription-quantitative polymerase chain reaction (RT-qPCR) and immunohistochemistry assays. BRIP1 expression was observed to be reduced in squamous cancer tissue and adenocarcinoma compared with normal cervix tissue, and there were significant correlations between the reduction in BRIP1 expression and unfavorable variables, including the International Federation of Gynecologists and Obstetricians stage and presence of lymph node metastases.

Caveolin-1 mediates chemoresistance in cisplatin-resistant ovarian cancer cells by targeting apoptosis through the Notch-1/Akt/NF-κB pathway.

Caveolin-1 (Cav-1), a family of ubiquitously expressed oligomeric structural proteins in many mammalian cells, has been shown to be an effective regulator of tumorigenesis. Recent studies have indicated that Cav-1 can promote resistance to chemotherapy in a variety of tumors. However, the regulation of Cav-1 on chemoresistance in ovarian cancer is still unknown.