Experimental Study and Numerical Simulations of Synergistic Effects for Multimedium Horizontal-Well Dissolver United N and Foam-Assisted Steam Flooding in Developing Heavy Oil Reservoirs.

The application of single-medium fluids is relatively ineffective due to their limited functionality in heavy oil reservoirs. To compensate for the limitations of single-medium fluid injection, multimedium collaborative technologies have been proposed and have become a primary focus of research. In this paper, a series of experiments were designed and conducted on multimedium-assisted steam flooding in horizontal wells based on the heavy oil samples from the W block in Xinjiang Oil fields, China.

Insights into gait performance in Parkinson's disease via latent features of deep graph neural networks.

Introdcution: Parkinson's Disease (PD) is a progressive neurodegenerative disorder that primarily impacts motor function and is prevalent among older adults worldwide. Gait performance (such as speed, stride, step, and so on) has been shown to play a significant role in diagnosis, treatment, and rehabilitation. Fortunately, advancements in computer science have provided serial ways to calculate gait-related parameters, offering a more accurate alternative to the complex and often imprecise assessments traditionally relied upon by trained professionals.

Effect of immune infiltration intensity on the efficacy of neoadjuvant immunotherapy for esophageal cancer.

Background: Esophageal squamous cell carcinoma (ESCC) treatment often involves neoadjuvant therapy combining chemotherapy and immune checkpoint inhibitors. However, the effectiveness of these treatments is limited by immune infiltration in the tumor microenvironment.

Methods: We analyzed single-cell transcriptomic data from 22 patients with resectable ESCC, collected before and after neoadjuvant therapy.

Fruit Freshness Classification and Detection Based on the ResNet-101 Network and Non-Local Attention Mechanism.

Fruit freshness monitoring represents one of the key research foci in the quality control of fruits and vegetables. Traditional manual inspection methods are characterized by subjectivity and inefficiency, which renders them unsuitable for large-scale and real-time detection demands. Automated detection methods based on deep learning have increasingly attracted attention.

Detecting emotional disorder with eye movement features in sports watching.

Introduction: Digital technologies have significantly advanced the detection of emotional disorders (EmD) in clinical settings. However, their adoption for long-term monitoring remains limited due to reliance on fixed testing formats and active user participation. This study introduces a novel approach utilizing common ball game videos-table tennis-to implicitly capture eye movement trajectories and identify EmD through natural viewing behavior.

Association between physical activity across diversed domains and sedentary behavior with sleep disorders.

Physical activities are closely related to sleep disorders. The aim of this study is to assess the independent associations between different types of physical activities and sleep disorders, as well as the relationship between daily physical activity volume and sleep disorders. We extracted data from NHANES 2017-2018.

Gastric-mucus penetrating and responsive microgels for alleviating Helicobacter pylori-induced gastritis.

Helicobacter pylori (H. pylori) is a prevalent global pathogen responsible for gastritis and the potential development of gastric cancer. Sulforaphane (SFN), a foodborne compound, exhibits notable antibiotic properties against H.

Precursor-Derived MoC/SiC Composites with a Two-Dimensional Sheet Structure for Electromagnetic Wave Absorption.

Precursor-derived silicon carbide (SiC) ceramics have been widely used as absorbing materials, but the residual carbon sink produced by ceramicization limits their application under high-temperature and oxygen-containing conditions, such as the nozzle or jet vane of high-speed aircraft. In this paper, a novel molybdenum carbide/silicon carbide (MoC/SiC) microwave-absorbing ceramic with a two-dimensional sheet structure was obtained through the pyrolysis of polycarbosilane-coated molybdenum sulfide (PCS@MoS). The results indicate that addition of an appropriate amount of MoS can react with the free carbon generated during the pyrolysis of PCS, thereby reducing the material's carbon content and forming MoC.

The association of sun sensitivity, sun protective behaviors and depression in both genders: a study based on the U.S. population.

Objective: The purpose of this study was to analyze the association between sun sensitivity, common sun protective behaviors (stay in shade, wear long sleeves, use sunscreen) and depression, respectively, in both genders, after adjusted for each other as confounders.

Materials And Methods: Data from the National Health and Nutrition Examination Survey 2017-2018 cycle were aggregated. Sun sensitivity and sun protective behaviors were assessed through the dermatology questionnaire.

A case report of HER2-positive descending colon cancer with peritoneal metastasis and literature review.

Human epidermal growth factor receptor 2 (HER2) is an anti-cancer drug target for colon cancer. Among patients with colorectal malignancy (colorectal cancer, CRC), those with HER2 mutations have a poor overall prognosis and a significantly increased drug resistance. In recent years, anti-HER2 therapeutic drugs have developed rapidly.

Compact High-Zoom-Ratio Mid-Wavelength Infrared Zoom Lens Design Based on Particle Swarm Optimization.

This paper presents an automated method for solving the initial structure of compact, high-zoom-ratio mid-wave infrared (MWIR) zoom lenses. Using differential analysis, the focal length variation process of zoom lenses under paraxial conditions is investigated, and a model for the focal power distribution and relative motion of three movable lens groups is established. The particle swarm optimization (PSO) algorithm is introduced into the zooming process analysis, and a program is developed in MATLAB to solve for the initial structure.

Red-Shifted and Enhanced Photoluminescence Emissions from Hydrogen-Bonded Multicomponent Nontraditional Luminogens.

Nontraditional luminogens (NTLs) without large π-conjugated aromatic structures have attracted a great deal of attention in recent years. Developing NTLs with red-shifted and enhanced emissions remains a great challenge. In this work, we developed a NTL composed of three components, i.

tdCoxSNN: Time-dependent Cox survival neural network for continuous-time dynamic prediction.

The aim of dynamic prediction is to provide individualized risk predictions over time, which are updated as new data become available. In pursuit of constructing a dynamic prediction model for a progressive eye disorder, age-related macular degeneration (AMD), we propose a time-dependent Cox survival neural network (tdCoxSNN) to predict its progression using longitudinal fundus images. tdCoxSNN builds upon the time-dependent Cox model by utilizing a neural network to capture the nonlinear effect of time-dependent covariates on the survival outcome.

Coordinatively stiffen and toughen polymeric gels via the synergy of crystal-domain cross-linking and chelation cross-linking.

Polymer gels have been widely used in flexible electronics, soft machines and impact protection materials. Conventional gels usually suffer from the inherent conflict between stiffness and toughness, severely hampering their applications. This work proposes a facile yet versatile strategy to break through this trade-off via the synergistic effect of crystal-domain cross-linking and chelation cross-linking, without the need for specific structure design or adding other reinforcements.

Design method of zoom systems based on high-order structural aberration coefficients.

Optical zoom systems have found widespread applications in fields such as security and mobile phone lenses. The theory of zoom lens design has also developed from the first order to the third order. To address the demands for large aperture, wide field, and aspheric surfaces, a zoom system design method based on high-order structural aberration coefficients is introduced.

Optimizing algorithm for high-precision imaging stitching systems based on spline surfaces.

As optical systems continue to advance, non-uniform rational B-spline (NURBS) surfaces increasingly being considered in asymmetric optical systems due to their localized control characteristics. However, the representation of NURBS surfaces has complicated the analysis of these systems, leading to a significant computational burden. To address this challenge, we propose an optimizing algorithm for imaging optical systems based on high-precision ray tracing of NURBS surfaces.

Artificial intelligence-assisted oculo-gait measurements for cognitive impairment in cerebral small vessel disease.

Introduction: Oculomotor and gait dysfunctions are closely associated with cognition. However, oculo-gait patterns and their correlation with cognition in cerebral small vessel disease (CSVD) remain unclear.

Methods: Patients with CSVD from a hospital-based cohort (n = 194) and individuals with presumed early CSVD from a community-based cohort (n = 319) were included.

The identification of heterogeneous reactive oxygen subtypes in esophageal squamous cell carcinoma to aid patient prognosis and immunotherapy.

Introduction: Esophageal cancer is increasingly recognized as a significant global malignancy. The main pathological subtype of this cancer is esophageal squamous cell carcinoma (ESCC), which displays a higher degree of malignancy and a poorer prognosis. Reactive oxygen species (ROS) play a critical role in modulating the immune response to tumors, and understanding the regulation of ROS in ESCC could lead to novel and improved therapeutic strategies for ESCC patients.

Optimization of optical system for reducing tolerance sensitivity based on the high-order nodal aberration theory.

This paper proposes an optimization method aimed at addressing the challenge of balancing system imaging performance and tolerance performance. The method is based on the high-order nodal aberration theory. The calculation method for high-order aberration coefficients is derived, along with the change in aberrations after introducing tolerance perturbation.

Comprehensive analysis of exosome gene LYPD3 and prognosis/immune cell infiltration in lung cancer.

Background: Lung cancer (LC) is a leading cause of cancer-associated mortality worldwide, with high incidence and mortality rates. Ly6/PLAUR domain containing 3 (LYPD3) is a tumorigenic and highly glycosylated cell surface protein that has been rarely reported in LC. This study aimed to explore the prognostic role and immune cell infiltration of LYPD3 in LC.

Cation Triggered Self-Assembly of α-Lactalbumin Nanotubes.

Metal ions play a dual role in biological systems. Although they actively participate in vital life processes, they may contribute to protein aggregation and misfolding and thus contribute to development of diseases and other pathologies. In nanofabrication, metal ions mediate the formation of nanostructures with diverse properties.

Single-cell profiling of response to neoadjuvant chemo-immunotherapy in surgically resectable esophageal squamous cell carcinoma.

Background: The efficacy of neoadjuvant chemo-immunotherapy (NAT) in esophageal squamous cell carcinoma (ESCC) is challenged by the intricate interplay within the tumor microenvironment (TME). Unveiling the immune landscape of ESCC in the context of NAT could shed light on heterogeneity and optimize therapeutic strategies for patients.

Methods: We analyzed single cells from 22 baseline and 24 post-NAT treatment samples of stage II/III ESCC patients to explore the association between the immune landscape and pathological response to neoadjuvant anti-PD-1 combination therapy, including pathological complete response (pCR), major pathological response (MPR), and incomplete pathological response (IPR).