SBCS-Net: Sparse Bayesian and Deep Learning Framework for Compressed Sensing in Sensor Networks.

Compressed sensing is widely used in modern resource-constrained sensor networks. However, achieving high-quality and robust signal reconstruction under low sampling rates and noise interference remains challenging. Traditional CS methods have limited performance, so many deep learning-based CS models have been proposed.

Ceramic-phosphor composite architecture enabling high-power laser-driven warm white lighting with enhanced color fidelity.

As lighting technology advances, laser-driven lighting offers high efficiency and precise beam control. However, the conversion of blue light from laser diodes into white light remains challenging due to insufficient red light emission from conventional phosphor materials, resulting in a low color rendering index (CRI) and high correlated color temperature (CCT). This study investigated a composite phosphor material designed with a layered structure of LuAlO:Ce ceramic and (Sr,Ca)AlSiN:Eu phosphors, which were fabricated via vacuum sintering and spin-coating techniques.

MiR-23a-5p affects postmenopausal osteoporosis by targeting ALX3 to regulate osteoblast differentiation.

Background: Postmenopausal women are at an increased risk of developing osteoporosis (OP) due to a decline in estrogen levels. This study focuses on miR-23a-5p as the subject of investigation, aiming to elucidate its expression in postmenopausal osteoporosis (PMOP) and to explore its action mechanisms.

Methods: A cohort of 150 postmenopausal women was recruited for this study, encompassing 78 participants diagnosed with OP and 72 controls without OP.

Femtosecond-Laser Preparation of Hydrogel with Micro/Nano-Structures and their Biomedical Applications.

Hydrogels with micro/nano-structures precisely prepared by femtosecond-laser processing technology are biomaterials that mimic the natural extracellular matrix and can achieve the precise regulation of biological properties, such as cell behavior and structural-mechanical properties. They also play a crucial role in biomedical fields such as regenerative medicine, bionanostructural construction, drug transport, and particle manipulation. This study summarizes the central role of the nonlinear absorption property of femtosecond lasers in the preparation of hydrogel micro/nano-structures.

A bibliometric analysis of challenges and advancements in the integrated application of nanoparticles and chimeric antigen receptor T cell therapy.

In recent years, the integration of nanoparticles with chimeric antigen receptor T-cell (CAR-T) therapy has advanced rapidly, garnering considerable attention from both academic and industrial sectors. However, a comprehensive analysis of key trends and emerging frontiers in this interdisciplinary field remains lacking. To address this gap, we conducted a bibliometric analysis of 515 publications indexed in the Web of Science Core Collection from 2013 to 2024.

Administration of lipid nanoparticle-encapsulated mRNA encoding CCR7, CXCL16 and GITRL effectively mobilizes antitumor T cell immunity.

The insufficient activation, infiltration, and functional suppression of tumor-killing cells in the tumor microenvironment (TME) collectively hinder antitumor immunity. CCR7, CXCL16, and GITRL are well-established immune modulators with potential to enhance immunotherapy efficacy. Herein, we developed lipid nanoparticle-encapsulated mRNA (LNP-mRNA) encoding these three targets with the aim of enhancing dendritic cell (DC) immunogenicity and improving the immunosuppressive TME.

Inhibition of VEGF signaling prevents exhaustion and enhances anti-leukemia efficacy of CAR-T cells via Wnt/β-catenin pathway.

Background: Current challenges in Chimeric Antigen Receptor (CAR) -T cell therapy for hematological cancers include T cell exhaustion and limited persistence, which contribute to cancer relapse.

Methods: The effects of Axitinib, a VEGFR inhibitor, on the biological functions of CAR-T cells in vitro and in vivo were investigated by comparing CAR-T cells pre-treated ex vivo with Axitinib, as well as utilizing a B-ALL mouse model. Real-time quantitative PCR and Western blotting were employed to detect the expression of molecules related to differentiation, exhaustion, and the Wnt pathway in CAR-T cells.

Core capabilities of Chinese centers for disease control and prevention public health personnel: a network analysis from Northeast China.

Background: The COVID-19 pandemic has highlighted the continued inadequacy of the capability of Center for Disease Control and Prevention (CDC) public health personnel to respond effectively to emerging infectious disease outbreaks, as well as the urgent need for specific tools to assess the capability needed by CDC public health personnel in the post-pandemic era. Using network analysis, we aimed to analyze the comprehensive capacities of CDC public health staff and the relationships between these capacities. We also examined the impact of standardized public health training on their capacities and provided actionable recommendations for improving their training and overall capability.

Enhancing the Performance and Wearability of Chitosan-Based Triboelectric Nanogenerators with Quartz Fibers for Self-Powered Movement Sensing.

Currently, triboelectric nanogenerators (TENGs) based on chitosan materials face challenges such as limited output power and suboptimal mechanical performance, restricting their application in biodegradable wearable devices and smart homes. Quartz fiber, an inorganic amorphous dielectric material known for its excellent mechanical robustness, thermal resilience, and electrical insulating characteristics, can positively impact the charge properties of chitosan films. Therefore, an innovative chitosan/quartz fiber TENG (CQ-TENG) has been developed by combining quartz fiber embedding and PVA blending techniques to effectively address the high brittleness and low output performance of chitosan-based TENGs.

The effects of contralateral limb cross-education training on post-surgical rehabilitation outcomes in patients with anterior cruciate ligament reconstruction: a randomized controlled trial.

Objective: This study examines whether cross-education training of the healthy limb promotes cross-transfer through central nervous system stimulation, enhancing the function, kinematic parameters, dynamic balance, and plantar pressure of the affected knee joint in patients recovering from postoperative anterior cruciate ligament reconstruction (ACLR).

Methods: Forty anterior cruciate ligament reconstruction (ACLR) patients, 5-6 weeks postoperatively, were included and randomly assigned to either an experimental group (n = 20) or a control group (n = 20). The experimental group participated in six weeks of cross-education (CE) training in addition to conventional rehabilitation, while the control group received only conventional rehabilitation.

Current developments in robotic assistance technology for total knee arthroplasty: a comprehensive overview.

Knee arthritis is a common degenerative joint disease, usually with joint swelling, chronic pain, and dysfunction as the main clinical manifestations. At present, the conservative treatment for knee arthritis is mostly using anti-inflammatory and analgesic drugs, but the effect is mostly temporary, and can not prevent its progress and surgery is usually the last treatment method. Total knee arthroplasty, also known as TKA, is one of the most effective treatments for osteoarthritis of the knee that has progressed to the end stage.

Targeting KAT7 inhibits the progression of colorectal cancer.

Colorectal cancer (CRC) is a leading cause of cancer-related mortality. Epigenetic modifications play a significant role in the progression of CRC. KAT7, a histone acetyltransferase, has an unclear role in CRC.

A finer-grained high altitude EEG dataset for hypoxia levels assessment.

The study reports on a high-altitude EEG dataset comprising 64-channel EEG signals from 23 subjects, aiming at achieving a finer-grained assessment of hypoxia levels. Four hypoxia levels were induced by creating a gradient of oxygen partial pressure through changes in altitude and external hypoxia stimulation. The dataset was collected in a hypoxic chamber that simulates altitude changes, allowing for a refined classification of different hypoxia levels based on ranges of oxygen saturation.

Overexpression of Pin1 regulated by TOP2A, which subsequently stabilizes Pyk2 to promote bortezomib resistance in multiple myeloma.

Multiple myeloma (MM), a hematological malignancy of plasma cells, has remained largely incurable owing to drug resistance and disease relapse, which requires novel therapeutic targets and treatment approaches. Peptidyl-prolyl cis/trans isomerase NIMA-interacting 1 (Pin1) acts as an oncoprotein linked to the development of various tumors. However, the functional consequence of Pin1 overexpression in modulating MM biology has not been established.

Impact of Vehicle Steering Strategy on the Severity of Pedestrian Head Injury.

In response to the sudden violation of pedestrians crossing the road, intelligent vehicles take into account factors such as the road conditions in the accident zone, traffic rules, and surrounding vehicles' driving status to make emergency evasive decisions. Thus, the collision simulation models for pedestrians and three types of vehicles, i.e.

NLRP3 blockade by MCC950 suppressed osteoclastogenesis via NF-κB/c-Fos/NFATc1 signal pathway and alleviated bone loss in diabetes mellitus.

Obesity and type 2 diabetes mellitus (T2DM) are linked to osteoporosis development, with obesity being a significant risk factor for T2DM. T2DM patients with obesity exhibit a higher fracture rate and often have a poor prognosis post-fracture. To address the urgent need for understanding the mechanisms of diabetic osteoporosis (DOP), research is ongoing to explore how obesity and T2DM impact bone metabolism.

Clarifying the impact of engine operating parameters of heavy-duty diesel vehicles on NOx and CO emissions using multimodal fusion methods.

The issue of air pollution from transportation sources remains a major concern, particularly the emissions from heavy-duty diesel vehicles, which pose serious threats to ecosystems and human health. China VI emission standards mandate On-Board Diagnostics (OBD) systems in heavy-duty diesel vehicles for real-time data transmission, yet the current data quality, especially concerning crucial parameters like NOx output, remains inadequate for effective regulation. To address this, a novel approach integrating Multimodal Feature Fusion with Particle Swarm Optimization (OBD-PSOMFF) is proposed.

FusionOpt-Net: A Transformer-Based Compressive Sensing Reconstruction Algorithm.

Compressive sensing (CS) is a notable technique in signal processing, especially in multimedia, as it allows for simultaneous signal acquisition and dimensionality reduction. Recent advancements in deep learning (DL) have led to the creation of deep unfolding architectures, which overcome the inefficiency and subpar quality of traditional CS reconstruction methods. In this paper, we introduce a novel CS image reconstruction algorithm that leverages the strengths of the fast iterative shrinkage-thresholding algorithm (FISTA) and modern Transformer networks.

Single-pulse three-dimensional parallel recording in glass using a feedback system.

High-quality three-dimensional computer-generated holograms (3D-CGHs) are crucial for programmable 3D femtosecond laser parallel recording (3D-FLPR). In this study, we introduced an innovative feedback approach for the rapid optimization of 3D-CGHs by incorporating the superposition of the calculated lens phases (CLPs) onto the 3D-CGHs within a feedback system. This feedback system, governed by coordinated control of a spatial light modulator (SLM) and a camera, served to avoid the poor quality of the ordinary CGH system.

The effects of foot orthoses on radiological parameters and pain in children with flexible flat feet: a systematic review and meta-analysis.

Objective: This study aimed to investigate the impact of foot orthoses on foot radiological parameters and pain in children diagnosed with flexible flatfoot.

Methods: A comprehensive search was conducted across several databases, including PubMed, Web of Science, EMBASE, Cochrane Library, and EBSCO, covering publications from the inception of each database up to 8 June 2024. The study focused on randomized controlled trials investigating the use of foot orthoses for treating flexible flat feet in children.

Inhibition of Tumoral VISTA to Overcome TKI Resistance via Downregulation of the AKT/mTOR and JAK2/STAT5 Pathways in Chronic Myeloid Leukemia.

Tyrosine kinase inhibitors (TKIs) have revolutionized the treatment landscape for chronic myeloid leukemia (CML). However, TKI resistance poses a significant challenge, leading to treatment failure and disease progression. Resistance mechanisms include both BCR::ABL1-dependent and BCR::ABL1-independent pathways.

Scaling-law mechanical marker for liver fibrosis diagnosis and drug screening through machine learning.

Studies of cell and tissue mechanics have shown that significant changes in cell and tissue mechanics during lesions and cancers are observed, which provides new mechanical markers for disease diagnosis based on machine learning. However, due to the lack of effective mechanic markers, only elastic modulus and iconographic features are currently used as markers, which greatly limits the application of cell and tissue mechanics in disease diagnosis. Here, we develop a liver pathological state classifier through a support vector machine method, based on high dimensional viscoelastic mechanical data.

Insulin receptor isoform B is required for efficient proinsulin processing in pancreatic β cells.

The insulin receptor (INSR, IR) has two isoforms, IRA and IRB, through alternative splicing. However, their distinct functions remain unclear. Here we generated β cell-specific IRB knockout (KO) mice (βIRBKO).