Observation of giant room-temperature anisotropic magnetoresistance in the topological insulator ß-Ag2Te.

Achieving room-temperature high anisotropic magnetoresistance ratios is highly desirable for magnetic sensors with scaled supply voltages and high sensitivities. However, the ratios in heterojunction-free thin films are currently limited to only a few percent at room temperature. Here, we observe a high anisotropic magnetoresistance ratio of -39% and a giant planar Hall effect (520 µΩ⋅cm) at room temperature under 9 T in ß-Ag2Te crystals grown by chemical vapor deposition. We propose a theoretical model of anisotropic scattering - induced by a Dirac cone tilt and modulated by intrinsic properties of effective mass and sound velocity - as a possible origin. Moreover, small-size angle sensors with a Wheatstone bridge configuration were fabricated using the synthesized ß-Ag2Te crystals. The sensors exhibited high output response (240 mV/V), high angle sensitivity (4.2 mV/V/°) and small angle error (<1°). Our work translates the developments in topological insulators to a broader impact on practical applications such as high-field magnetic and angle sensors.

A Latent Representation Generalizing Network for Domain Generalization in Cross-Scenario Monitoring.

Cross-scenario monitoring requires domain generalization (DG) for changed knowledge when auxiliary information is unavailable and only one source scenario is involved. In this article, a latent representation generalizing network (LRGN) is proposed to learn transferable knowledge through generalizing the latent representations for cross-scenario monitoring in perimeter security. LRGN is composed of a sequential-variational generative adversarial network (SVGAN), a coupled SVGAN (Co-SVGAN), and a knowledge-aggregated SVGAN. First, the Co-SVGAN can learn domain-invariant latent representations to model dual-domain joint distribution of background data, which is usually sufficient in the source and target scenarios. Deceptive domain shifts are generated based on the domain-invariant latent representations without auxiliary information. Then, SVGAN models the changing knowledge by estimating the distribution of domain shifts. Furthermore, the knowledge-aggregated SVGAN can transfer the learned domain-invariant knowledge from Co-SVGAN for generalizing the latent representations through approximating the distribution of domain shifts. Accordingly, LRGN is trained by a four-phase optimization strategy for DG through generating target-scenario samples of concerned events based on the generalized latent representations. The feasibility and effectiveness of the proposed method are validated through real-field experiments of perimeter security applications in two scenarios.

Directed-Graph-Learning-Based Diagnosis of Multiple Faults for High Speed Train With Switched Dynamics.

This article addresses the distributed multiple fault isolation, modeling, and the closed-loop fault estimation under asynchronous switching for high speed train (HST) with switched dynamics, which is composed of traction, coasting, and braking. First, directed-graph-quantum-learning-based multiple-agent system (MAS) classifiers are introduced to characterize the joints effects of multiple faults. Some sufficient conditions are derived under the condition that the multiple fault topology contains a directed spanning tree and cycle edge, and these conditions guarantee that the multiple fault isolation problem can be solved under randomized learning techniques. Then, single-integrator agents are employed to capture the time-varying topology of multiple fault modeling, in which edge agreement and persistence condition are used to guarantee asymptotic consensus. After that, a novel robust fault estimation design along with the switched Lyapunov function and average dwell time is proposed for the possible power actuator faults subject to asynchronous switching and electromagnetic interferences. In addition, switched estimators are designed such that the closed-loop system is asymptotically stable. A multiple fault isolation and estimation case is investigated to validate the application of this methodology.

Inflammatory cytokines enhance procoagulant activity of platelets and endothelial cells through phosphatidylserine exposure in patients with essential hypertension.

The exact mechanism of the prothrombotic state of essential hypertension (EH) patients remains elusive. Our objective was to assess whether phosphatidylserine (PS) exposure on endothelial cells (ECs), platelets, and microparticles (MPs) can account for the hypercoagulability in EH patients. PS exposure on cells and MPs, mainly from platelets and ECs was analyzed with flow cytometry. Procoagulant activity (PCA) was evaluated by purified coagulation complex assays, clotting time, and fibrin turbidity. We found that EH patients exhibited elevated levels of PS+ platelets, serum-cultured ECs, MPs, endothelial-derived MPs and platelet-derived MPs compared to the controls (all P < 0.05). Moreover, platelets and MPs from the patients and their sera-cultured ECs showed markedly enhanced intrinsic/extrinsic FXa, thrombin, and fibrin generation, and greatly shortened coagulation time. This PCA could be blocked approximately 80%, by the addition of lactadherin. Furthermore, we detected elevated levels of IL-8, IL-6, and TNF-α in EH patients could activate platelets/ECs and induce elevated PS exposure on their membranes. Our results suggest that inflammatory cytokines could enhance procoagulant activity of platelets and endothelial cells via their PS exposure in EH patients. As such, a PS blockade may be a viable therapeutic strategy for treating such patients.

Identification and Validation of HOTAIRM1 as a Novel Biomarker for Oral Squamous Cell Carcinoma.

ORAL squamous cell carcinoma (OSCC) is a malignant tumor with the highest incidence among tumors involving the oral cavity maxillofacial region, and is notorious for its high recurrence and metastasis potential. Long non-coding RNAs (lncRNAs), which regulate the genesis and evolution of cancers, are potential prognostic biomarkers. This study identified HOTAIRM1 as a novel significantly upregulated lncRNA in OSCC, which is strongly associated with unfavorable prognosis of OSCC. Systematic bioinformatics analyses demonstrated that HOTAIRM1 was closely related to tumor stage, overall survival, genome instability, the tumor cell stemness, the tumor microenvironment, and immunocyte infiltration. Using biological function prediction methods, including Weighted gene co-expression network analysis (WGCNA), Gene set enrichment analysis (GSEA), and Gene set variation analysis (GSVA), HOTAIRM1 plays a pivotal role in OSCC cell proliferation, and is mainly involved in the regulation of the cell cycle. In vitro, cell loss-functional experiments confirmed that HOTAIRM1 knockdown significantly inhibited the proliferation of OSCC cells, and arrested the cell cycle in G1 phase. At the molecular level, PCNA and CyclinD1 were obviously reduced after HOTAIRM1 knockdown. The expression of p53 and p21 was upregulated while CDK4 and CDK6 expression was decreased by HOTAIRM1 knockdown. In vivo, knocking down HOTAIRM1 significantly inhibited tumor growth, including the tumor size, weight, volume, angiogenesis, and hardness, monitored by ultrasonic imaging and magnetic resonance imaging In summary, our study reports that HOTAIRM1 is closely associated with tumorigenesis of OSCC and promotes cell proliferation by regulating cell cycle. HOTAIRM1 could be a potential prognostic biomarker and a therapeutic target for OSCC.

LINC00958 regulated miR-627-5p/YBX2 axis to facilitate cell proliferation and migration in oral squamous cell carcinoma.

Oral squamous cell carcinoma (OSCC), the subtype of head and neck cancers, is notorious for its high incidence and death rate. The role of long non-coding RNAs (lncRNAs) is discovered to be significant for the canceration and cancer progression. Long intergenic non-protein coding RNA 958 (LINC00958) is discovered as a carcinogene in multiple cancers, such as gastric cancer, pancreatic cancer, and glioma, but there has been no report about how LINC00958 functions in OSCC. The objective of our study is to unfold function and mechanism investigation on LINC00958 in OSCC. First, TCGA database showed the upregulation and prognostic significance of LINC00958 in head and neck squamous carcinoma. Then, we discovered in OSCC clinical samples that LINC00958 presented high expression and predicted poor prognosis. Also, LINC00958 was elevated in OSCC cells. In vitro gain- and loss-function experiments proved that LINC00958 facilitated cell growth, retarded apoptosis, accelerated migration, and epithelial-to-mesenchymal transition (EMT) in OSCC. Mechanistically, we confirmed the cytoplasmic expression of LINC00958 in OSCC cells, and revealed that LINC00958 sequestered miR-627-5p to upregulate YBX2 expression. Rescue assays indicated that LINC00958 regulated OSCC cell proliferation, motility and EMT through YBX2. Together, we showed that LINC00958 promoted OSCC progression through miR-627-5p/YBX2 axis, indicating LINC00958 as a new prognostic marker, and provided new perspectives for molecular targeted treatment for OSCC.

Oroxylin A attenuates cigarette smoke-induced lung inflammation by activating Nrf2.

Oroxylin A, a natural flavonoid isolated from the medicinal herb Scutellaria baicalensis Georgi, has been reported to have anti-inflammatory and antioxidant properties. However, the effect of oroxylin A on cigarette smoke (CS)-induced lung inflammation remains unclear. In this study, the ability of oroxylin A to protect against CS-induced lung inflammation was detected in vivo and in vitro. Oroxylin A was administered intraperitoneally to mice 2h prior CS exposure every day for five consecutive days. BEAS-2B bronchial epithelial cells and RAW264.7 cells were used to investigate the molecular mechanism of oroxylin A in vitro. In vivo, the results showed that oroxylin A dose-dependently attenuated CS-induced lung histopathologic changes, expression of cytokines TNF-α, IL-1ß, and MCP-1, and levels of oxidative biomarkers 3-nitrotyrosine and 8-isoprostane. Meanwhile, oroxylin A up-regulated GSH level and glutathione reductase (GR) activity in lung tissues. In vitro, oroxylin A significantly up-regulated Nrf2 expression and total cellular glutathione level in cigarette smoke extract (CSE)-stimulated cells. In addition, oroxylin A promoted Nrf2 binding to antioxidant response element (ARE) and up-regulated ARE-regulated gene such as heme oxygenase-1 (HO-1), GPx, and GR in CSE-stimulated cells. Oroxylin A could protect both epithelial cells and macrophages from damage by cigarette smoke in vitro. Taken together, these data indicated that oroxylin A attenuated oxidative stress and lung inflammation induced by CS via activating Nrf2 signaling pathway. Oroxylin A may be a protective agent against CS-induced lung inflammation and chronic obstructive pulmonary disease.