Non-contrast MRI based machine learning and radiomics signature can predict the severity of primary lower limb lymphedema.

Purpose: According to International Lymphology Society guidelines, the severity of lymphedema is determined by the difference in volume between the affected limb and the healthy side divided by the volume of the healthy side. However, this method of measuring volume is time-consuming, laborious, and has certain errors in clinical applications.Therefore, this study aims to explore whether machine learning radiomics features based on non-contrast magnetic resonance imaging (NCMRI) can predict the severity of primary lower limb lymphedema.

Effect of Post-Heat Treatment on the Mechanical and Residual Stress Behavior of Pulsed Wave S316L Fabricated by Directed Energy Deposition.

The influence of annealing at various temperatures on the phase stability and microstructure of pulsed-wave laser mode (PW) 316L stainless steel fabricated via Directed Energy Deposition (DED) was systematically investigated. The microstructural alterations resulting from heat treatment were examined to clarify their influence on the mechanical properties of the specimens subjected to tensile loading. The results showed that cell size increased with annealing temperature, with the cellular microstructure disappearing at higher temperatures (T ≥ 1000 °C).

Construction and Validation of Cardiovascular Disease Prediction Model for Dietary Macronutrients-Data from the China Health and Nutrition Survey.

Background: There are currently many studies on predictive models for cardiovascular disease (CVD) that do not use dietary macronutrients for prediction. This study aims to provide a non-invasive model incorporating dietary information to predict the risk of CVD in adults.

Methods: The data for this study were obtained from the China Health and Nutrition Survey (CHNS) spanning the years 2004 to 2015.

Toward Sustainable Poly(lactic acid)/Poly(propylene carbonate) Blend Films with Balanced Mechanical Properties, High Optical Transmittance, and Gas Barrier Performance via Reactive Compatibilization and Biaxial Stretching.

Sustainable poly(lactic acid) (PLA)/poly(propylene carbonate) (PPC) blends were compatibilized by the environmentally friendly epoxidized soybean oil (ESO) through the chemical reaction of epoxy functional groups on ESO with the terminated carboxyl and hydroxyl groups of PLA/PPC. The compatibilization effect of ESO was confirmed by Fourier transform infrared spectroscopy, rheological property testing, differential scanning calorimetry, and morphological observations. It was revealed that the molecular chain entanglement between PLA and PPC was significantly enhanced and the dispersed PPC phase size was decreased, which endowed the blend with high viscosity modulus, low tan δ, and great stretchability, especially for the blend containing 1.

Diagnosis of fibrotic interstitial lung diseases based on the combination of label-free quantitative multiphoton fiber histology and machine learning.

Interstitial lung disease (ILD), characterized by inflammation and fibrosis, often suffers from low diagnostic accuracy and consistency. Traditional H&E staining primarily reveals cellular inflammation with limited detail on fibrosis. To address these issues, we introduce a pioneering label-free quantitative multiphoton fiber histology (MPFH) technique that delineates the intricate characteristics of collagen and elastin fibers for ILDs diagnosis.

Application of microsurgical surgery in patients with proximal vertebral artery stenosis unsuited for endovascular treatment: a single-center retrospective study.

To investigate the clinical efficacy and safety of microsurgical surgery in patients with proximal vertebral artery stenosis unsuitable for endovascular treatment. A retrospective analysis was conducted on the clinical data of 34 patients with proximal vertebral artery stenosis who underwent microsurgical surgery at the Department of Cerebrovascular Surgery, Shengli Oilfield Central Hospital, Dongying, Shandong, from March 2020 to April 2023. Preoperative imaging confirmation of proximal vertebral artery stenosis or occlusion was obtained using cervical CT angiography (CTA), CT perfusion imaging (CTP), and magnetic resonance angiography (MRA).

Combined Superior Capsular Reconstruction Using Fascia Lata Autograft and Lower Trapezius Transfer Using Achilles Tendon Allograft is Associated with Improved Surgical Outcomes in Patients with Posterosuperior Irreparable Massive Rotator Cuff Tears.

Purpose: To evaluate the minimum 12-month clinical and radiological outcomes of combined superior capsular reconstruction (SCR) and lower trapezius transfer (LTT) for posterosuperior irreparable massive rotator cuff tears (IMRCTs).

Methods: Patients with posterosuperior IMRCTs and severe fatty infiltration (Goutallier grades 3 or more) in the infraspinatus who underwent SCR +LTT were retrospectively reviewed. A double-folded fascia lata autograft with one layer of polypropylene mesh inside was used for SCR and an Achilles tendon allograft was used to connect the tendon of lower trapezius to the greater tuberosity.

A prognostic and predictive model based on deep learning to identify optimal candidates for intensity-modulated radiotherapy alone in patients with stage II nasopharyngeal carcinoma: A retrospective multicenter study.

Purpose: To develop and validate a prognostic and predictive model integrating deep learning MRI features and clinical information in patients with stage II nasopharyngeal carcinoma (NPC) to identify patients with a low risk of progression for whom intensity-modulated radiotherapy (IMRT) alone is sufficient.

Methods: This multicenter, retrospective study enrolled 999 patients with stage II NPC from two centers. 3DResNet was used to extract deep learning MRI features and eXtreme Gradient Boosting model was employed to integrate the pre-trained features and clinical information to obtain an overall score for each patient.

A Novel Snow Leopard Optimization for High-Dimensional Feature Selection Problems.

To address the limitations of traditional optimization methods in achieving high accuracy in high-dimensional problems, this paper introduces the snow leopard optimization (SLO) algorithm. SLO is a novel meta-heuristic approach inspired by the territorial behaviors of snow leopards. By emulating strategies such as territory delineation, neighborhood relocation, and dispute mechanisms, SLO achieves a balance between exploration and exploitation, to navigate vast and complex search spaces.

APOE ε4-associated heterogeneity of neuroimaging biomarkers across the Alzheimer's disease continuum.

Introduction: While the role of apolipoprotein E (APOE) ε4 in Alzheimer's disease (AD) susceptibility has been studied extensively, much less is known about the differences in disease presentation in APOE ε4 carriers versus non-carriers.

Methods: To help elucidate these differences, we performed a broad analysis comparing the regional levels of six different neuroimaging biomarkers in the brains of APOE ε4 carriers versus non-carriers who participated in the Alzheimer's Disease Neuroimaging Initiative (ADNI).

Results: We observed significant APOE ε4-associated heterogeneity in regional amyloid beta deposition, tau accumulation, glucose uptake, brain volume, cerebral blood flow, and white matter hyperintensities within each AD diagnostic group.

secretory protein VceA promotes FOXO1 entry into the nucleus to shift host cell metabolism toward glycolysis.

Increased glycolytic metabolism is a key step in the reproduction of and the induction of brucellosis, however, little is known about how this process is regulated during infection. Forkhead box protein O1 (FOXO1) is a transcription factor that regulates energy metabolism. In this study, we employ the yeast two-hybrid system (Y2H) and immunoprecipitation (Co-IP) to reverse screen for the FOXO1 for the first time and identify interactions between FOXO1 and the secretory protein VceA.

Relationship between metabolomics of T2DM patients and the anti-diabetic effects of Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma herb pair in mice.

Ethnopharmacological Relevance: Type 2 diabetes mellitus (T2DM) poses significant threats to public health. In Traditional Chinese Medicine (TCM), the Phellodendri Chinensis Cortex-Anemarrhenae Rhizoma (PCC/AR) herb pair has long been used for T2DM treatment, although its specific anti-diabetic mechanisms remain unclear.

Aim Of The Study: This study aimed to elucidate the relationship between metabolomics of T2DM patients and the anti-diabetic effects of PCC/AR herb pair in mice through clinical metabolomics and both in vitro and in vivo experiments.

The potential of long non-coding RNAs for motor function recovery after spinal cord injury in rodents: A systematic review and meta-analysis.

Objective: Long non-coding RNAs (LncRNAs) have garnered significant attention in preclinical studies for their potential in treating spinal cord injury (SCI). This meta-analysis aimed to assess the overall efficacy of lncRNA treatments in improving motor function in rodent models of SCI.

Methods: The Embase, PubMed, Web of Science, and Scopus databases were searched.

Exosomes Derived from Antler Mesenchymal Stem Cells Promote Wound Healing by miR-21-5p/STAT3 Axis.

Background: Deer antlers, unique among mammalian organs for their ability to regenerate annually without scar formation, provide an innovative model for regenerative medicine. This study explored the potential of exosomes derived from antler mesenchymal stem cells (AMSC-Exo) to enhance skin wound healing.

Methods: We explored the proliferation, migration and angiogenesis effects of AMSC-Exo on HaCaT cells and HUVEC cells.

The Role of Fatty Acid Metabolism, the Related Potential Biomarkers, and Targeted Therapeutic Strategies in Gastrointestinal Cancers.

Gastrointestinal cancer has emerged as a significant global health concern due to its high incidence and mortality, limited effectiveness of early detection, suboptimal treatment outcomes, and poor prognosis. Metabolic reprogramming is a prominent feature of cancer, and fatty acid metabolism assumes a pivotal role in bridging glucose metabolism and lipid metabolism. Fatty acids play important roles in cellular structural composition, energy supply, signal transduction, and other lipid-related processes.

Thermal stability and coalescence dynamics of exsolved metal nanoparticles at charged perovskite surfaces.

Exsolution reactions enable the synthesis of oxide-supported metal nanoparticles, which are desirable as catalysts in green energy conversion technologies. It is crucial to precisely tailor the nanoparticle characteristics to optimize the catalysts' functionality, and to maintain the catalytic performance under operation conditions. We use chemical (co)-doping to modify the defect chemistry of exsolution-active perovskite oxides and examine its influence on the mass transfer kinetics of Ni dopants towards the oxide surface and on the subsequent coalescence behavior of the exsolved nanoparticles during a continuous thermal reduction treatment.

Integrated Control of Thermal Residual Stress and Mechanical Properties by Adjusting Pulse-Wave Direct Energy Deposition.

Directed energy deposition with laser beam (DED-LB) components experience significant residual stress due to rapid heating and cooling cycles. Excessive residual tensile stress can lead to cracking in the deposited sample, resulting in service failure. This study utilized digital image correlation (DIC) and thermal imaging to observe the in situ temporal evolution of strain and temperature gradients across all layers of a deposited 316 L stainless steel thin wall during DED-LB.

Hydrophobic Modification of Halloysite Nanotubes Loaded with a Small Amount of Tungsten Oxide for Efficient Oxidative Desulfurization.

Transition metal oxides can be used as efficient multiphase catalysts in the field of catalysis. In this study, a hydrophobic halloysite nanotube (HNT) catalyst was designed and prepared with a low loading. Tungsten oxide was immobilized on the inner surface of the HNT, through electrostatic adsorption and calcination.

Contrast Enhancement of Cochlea after Direct Microneedle Intracochlear Injection of Gadodiamide through the Round Window Membrane with Minimal Dosage.

Rationale And Objectives: The potential of contrast-enhanced MRI for diagnosing endolymphatic hydrops is limited by long wait times following intravenous (IV) or intratympanic (IT) delivery, high contrast dosages, and inconsistent signal intensity enhancements. This study investigates microneedle-mediated intracochlear (IC) gadodiamide injection for consistent and efficient contrast delivery with minimal contrast dosage.

Materials And Methods: A 100 µm diameter microneedle with 35 µm lumen was used to inject 1 µL of diluted gadodiamide (17.

A dynamic receptive field and improved feature fusion approach for federated learning in financial credit risk assessment.

Federated Learning (FL) uses local data to perform distributed training on clients and combines resulting models on a public server to mitigate privacy exposure by avoiding data sharing. However, further research indicates that communication overheads continue to be the primary limitation for FL relative to alternative considerations. This is especially true when training models on non-independent and identically distributed data, such as financial default risk data, where FL's computational costs increase significantly.

A novel approach to detecting microduplication in split hand/foot malformation type 3 at the single-cell level: SHFM as a case study.

Background: Split hand/foot malformation (SHFM) is a congenital limb deficiency characterized by missing or shortened central digits. Several gene loci have been associated with SHFM. Identifying microduplications at the single-cell level is challenging in clinical practice, and traditional detection methods may lead to misdiagnoses in embryos and pregnant women.