Treatment of femoropopliteal arterial lesions with excimer laser atherectomy and drug-coated balloon.

ObjectivesProximal to mid-term effects of contrast excimer laser atherectomy (ELA) + drug-coated balloon (DCB) versus PTA + drug-coated balloon (DCB) in the treatment of new lesions in the femoral popliteal segment of patients with lower extremity arteriosclerosis and occlusion.MethodsThe clinical data of 105 patients with CT-confirmed femoropopliteal segment lesions (Rutherford grades 3-6) were retrospectively analyzed. According to the computerized randomization method, 58 patients (44 males, mean 72.

Talarombrevisone A, an -aminopropionate with two polyketide units, isolated from an endophytic fungus .

Talarombrevisone A (), Which is a -aminopropionate compound containing two polyketide units, and two known compounds Ethyl linoleate () and Talaromycin A () were isolated from , an endophytic fungus of . Structure of was elucidated by infra-red, mass spectrometry, one-dimensional and two-dimensional nuclear magnetic resonance (NMR) spectra. The inhibitory activity on phosphodiesterase 1 of the three compounds was investigated.

Novel Silicon-Based Fluorescent Nanocomposite Drug Carriers for Natural Compound Delivery in Melanoma Treatment.

Melanoma, a highly aggressive cancer, is closely associated with an elevated tumor mutation burden (TMB) and an active tumor microenvironment (TME). Melanin synthesis, a key feature of melanoma progression, is primarily regulated by tyrosinase (TYR), the rate-limiting enzyme controlled by the microphthalmia-associated transcription factor (MITF). Resveratrol (Res), a natural polyphenol known for its antioxidant and anticancer properties, faces limitations including poor solubility, low bioavailability, and rapid metabolism.

Complex conjugate removal in optical coherence tomography using phase aware generative adversarial network.

Significance: Current methods for complex conjugate removal (CCR) in frequency-domain optical coherence tomography (FD-OCT) often require additional hardware components, which increase system complexity and cost. A software-based solution would provide a more efficient and cost-effective alternative.

Aim: We aim to develop a deep learning approach to effectively remove complex conjugate artifacts (CCAs) from OCT scans without the need for extra hardware components.

Method for Extracting Optical Element Information Using Optical Coherence Tomography.

This study examines the measurement of film thickness, curvature, and defects on the surface or inside of an optical element using a highly accurate and efficient method. This is essential to ensure their quality and performance. Existing methods are unable to simultaneously extract the three types of information: thickness, curvature, and defects.

Exosomes derived from epidermal growth factor-like domain protein 6-preconditioned mesenchymal stem cells for diabetic wound healing.

Diabetic wounds are difficult to repair effectively in the clinic. Tissue engineering based on mesenchymal stem cells (MSCs) showed great therapeutic potential in wound healing. MSCs-derived exosome could reproduce the effect of MSCs by transferring the bioactive substance to the recipient cells.

Physiological and metabolomic analyses reveal the mechanism by which exogenous spermine improves drought resistance in alfalfa leaves ( L.).

Introduction: Alfalfa ( L.) is a globally important legume crop with high nutritional and ecological value. Drought poses a serious threat to alfalfa acreage and yields.

Comparative Physiological and Transcriptomic Analyses of Oat () Seedlings under Salt Stress Reveal Salt Tolerance Mechanisms.

Soil salinity is a major abiotic stress limiting crop production globally. Oat () is an annual cereal with a strong salt tolerance, a high yield, and nutritional quality, although the mechanisms underlying its salt stress response remain largely unknown. We examined the physiological and transcriptomic responses of seedlings to salt stress in tolerant cultivar Qingyongjiu 195 and sensitive cultivar 709.

Dual beam optical coherence tomography angiography for decoupling axial velocity gradient.

Axial velocity gradient (AVG) in the optical coherence tomography angiography (OCTA) signal affects measurement accuracy when the flow is not perpendicular to the scanning beam. We developed a dual beam OCTA method to decouple the contribution of AVG from the decorrelation signal. Decoupling is first verified by phantom experiments which reduces measurement uncertainty from 1.

Strong effect-correlated electrochemical CO reduction.

Electrochemical CO reduction (ECR) holds great potential to alleviate the greenhouse effect and our dependence on fossil fuels by integrating renewable energy for the electrosynthesis of high-value fuels from CO. However, the high thermodynamic energy barrier, sluggish reaction kinetics, inadequate CO conversion rate, poor selectivity for the target product, and rapid electrocatalyst degradation severely limit its further industrial-scale application. Although numerous strategies have been proposed to enhance ECR performances from various perspectives, scattered studies fail to comprehensively elucidate the underlying effect-performance relationships toward ECR.

Local hydroxide ion enrichment at the inner surface of lacunaris perovskite nanotubes facilitates the oxygen evolution reaction.

Numerous strategies have been devised to optimize the intrinsic activity of perovskite oxides for the oxygen evolution reaction (OER). However, conventional synthetic routes typically yield limited numbers of active sites and low mass activities. More critically, the sluggish mass transfer poses a huge challenge, particularly under high polarization conditions, which impedes the overall reaction kinetics.

Perovskite Oxides Toward Oxygen Evolution Reaction: Intellectual Design Strategies, Properties and Perspectives.

Developing electrochemical energy storage and conversion devices (e.g., water splitting, regenerative fuel cells and rechargeable metal-air batteries) driven by intermittent renewable energy sources holds a great potential to facilitate global energy transition and alleviate the associated environmental issues.

Unsupervised OCT image despeckling with ground-truth- and repeated-scanning-free features.

Optical coherence tomography (OCT) can resolve biological three-dimensional tissue structures, but it is inevitably plagued by speckle noise that degrades image quality and obscures biological structure. Recently unsupervised deep learning methods are becoming more popular in OCT despeckling but they still have to use unpaired noisy-clean images or paired noisy-noisy images. To address the above problem, we propose what we believe to be a novel unsupervised deep learning method for OCT despeckling, termed Double-free Net, which eliminates the need for ground truth data and repeated scanning by sub-sampling noisy images and synthesizing noisier images.

Hybrid surgery for the treatment of lumbar spine surgery complicated with iliac artery pseudoaneurysm, arteriovenous fistula, and lower limb artery embolism: A rare case report.

Introduction And Importance: Vascular injuries during lumbar surgery are rare, but complications such as false aneurysm of the iliac artery, arteriovenous fistula, and lower limb artery embolism are even rarer. These complications can easily be misdiagnosed and result in the inability to choose an appropriate surgical approach, leading to serious consequences.

Case Presentation: A 36-year-old male patient experienced swelling in both lower limbs, along with numbness, coldness, and dysfunction in his right lower limb, after undergoing a "posterior lumbar discectomy" surgery.

Self-supervised Self2Self denoising strategy for OCT speckle reduction with a single noisy image.

Optical coherence tomography (OCT) inevitably suffers from the influence of speckles originating from multiple scattered photons owing to its low-coherence interferometry property. Although various deep learning schemes have been proposed for OCT despeckling, they typically suffer from the requirement for ground-truth images, which are difficult to collect in clinical practice. To alleviate the influences of speckles without requiring ground-truth images, this paper presents a self-supervised deep learning scheme, namely, Self2Self strategy (S2Snet), for OCT despeckling using a single noisy image.

Toward Ground-Truth Optical Coherence Tomography via Three-Dimensional Unsupervised Deep Learning Processing and Data.

Optical coherence tomography (OCT) can perform non-invasive high-resolution three-dimensional (3D) imaging and has been widely used in biomedical fields, while it is inevitably affected by coherence speckle noise which degrades OCT imaging performance and restricts its applications. Here we present a novel speckle-free OCT imaging strategy, named toward-ground-truth OCT ( t GT-OCT), that utilizes unsupervised 3D deep-learning processing and leverages OCT 3D imaging features to achieve speckle-free OCT imaging. Specifically, our proposed t GT-OCT utilizes an unsupervised 3D-convolution deep-learning network trained using random 3D volumetric data to distinguish and separate speckle from real structures in 3D imaging volumetric space; moreover, t GT-OCT effectively further reduces speckle noise and reveals structures that would otherwise be obscured by speckle noise while preserving spatial resolution.

Coaxial Bright and Dark Field Optical Coherence Tomography.

To improve the signal collection efficiency of Optical Coherence Tomography (OCT) for biomedical applications. A novel coaxial optical design was implemented, utilizing a wavefront-division beam splitter in the sample arm with a 45-degree rod mirror. This design allowed for the simultaneous collection of bright and dark field signals.

Axial super-resolution optical coherence tomography via complex-valued network.

Optical coherence tomography (OCT) is a fast and non-invasive optical interferometric imaging technique that can provide high-resolution cross-sectional images of biological tissues. OCT's key strength is its depth resolving capability which remains invariant along the imaging depth and is determined by the axial resolution. The axial resolution is inversely proportional to the bandwidth of the OCT light source.

A Retrospective Study of Anlotinib Combined with Anti-PD-1 Inhibitors in the 2nd or Later-Line Treatment of Advanced Solid Tumors.

Objective: To investigate the clinical efficacy and safety of anlotinib combined with anti-PD-1 inhibitors in the 2nd or later-line treatment of advanced solid tumors.

Patients And Methods: A total of 63 patients with advanced solid tumors who had failed or could not endure the adverse reactions after receiving first-line or more systematic treatment in the Second Affiliated Hospital of Harbin Medical University from March 2019 to April 2023 were treated with anlotinib Hydrochloride capsule combined with anti-PD-1 inhibitors. The efficacy and adverse reactions were evaluated according to RECIST1.

Impact of -odontogenic infection on the pathogenesis of non-alcoholic fatty liver disease.

Non-alcoholic fatty liver disease is characterized by diffuse hepatic steatosis and has quickly risen to become the most prevalent chronic liver disease. Its incidence is increasing yearly, but the pathogenesis is still not fully understood. () is a major pathogen widely prevalent in periodontitis patients.

Loss-balanced parallel decoding network for retinal fluid segmentation in OCT.

As a leading cause of blindness worldwide, macular edema (ME) is mainly determined by sub-retinal fluid (SRF), intraretinal fluid (IRF), and pigment epithelial detachment (PED) accumulation, and therefore, the characterization of SRF, IRF, and PED, which is also known as ME segmentation, has become a crucial issue in ophthalmology. Due to the subjective and time-consuming nature of ME segmentation in retinal optical coherence tomography (OCT) images, automatic computer-aided systems are highly desired in clinical practice. This paper proposes a novel loss-balanced parallel decoding network, namely PadNet, for ME segmentation.

Synergistic efficacy of PI3Kδ inhibitor with anti-PD-1 mAbs in immune-humanized PDX model of endocrine resistance hormone receptor-positive advanced breast cancer.

Purpose: Endocrine resistance hormone receptor-positive (HR+) advanced breast cancer (ABC) is generally insensitive to immunecheckpoint inhibitors (ICIs). This study sought to determine whether PI3Kδ inhibitor could enhance the sensitivity of endocrine resistance HR + advanced BC to ICIs by reducing immune evasion.

Methods: Patient-derived HR + ABC xenografts were implanted into immune-humanized NSG mice and subsequently treated with YY20394 (PI3Kδ inhibitor) and camrelizumab.