Serial Dependence in Smooth Pursuit Eye Movements of Preadolescent Children and Adults.

Purpose: Serial dependence refers to the attraction of current perceptual responses toward previously seen stimuli. Despite extensive research on serial dependence, fundamental questions, such as how serial dependence changes with development, whether it affects the perception of sensory input, and what qualifies as serial dependence, remain unresolved. The current study aims to address these questions.

Flexible electronics for cardiovascular monitoring on complex physiological skins.

Cardiovascular diseases (CVDs) pose a significant global health threat, responsible for a considerable portion of worldwide mortality. Flexible electronics enable continuous, noninvasive, real-time, and portable monitoring, providing an ideal platform for personalized healthcare. Nevertheless, challenges persist in sustaining stable adherence across diverse and intricate skin environments, hindering further advancement toward clinical applications.

How to obtain product green design requirements based on sentiment analysis and topic analysis: Using washing machine online reviews as an example.

Green design involves the entire life cycle of a product, including stages such as raw material acquisition, production and manufacturing, sales and transportation, use, recycling, and disposal. Extracting customer requirements (CRs) related to product green design (PGD) is one of the necessary conditions for achieving the dual carbon goal. However, only a few studies have evaluated CRs for PGD from a full life cycle perspective.

Discontinuous Deformation Monitoring of Smart Aerospace Structures Based on Hybrid Reconstruction Strategy and Fiber Bragg Grating.

A hybrid enhanced inverse finite element method (E-iFEM) is proposed for real-time intelligent sensing of discontinuous aerospace structures. The method can improve the flight performance of intelligent aircrafts by feeding back the structural shape information to the control system. Initially, the presented algorithm combines rigid kinematics with the classical iFEM to discretize the aerospace structures into elastic parts and rigid parts, which will effectively overcome structural complexity due to fluctuating bending stiffness and a special aerodynamic section.

Machine learning-guided realization of full-color high-quantum-yield carbon quantum dots.

Carbon quantum dots (CQDs) have versatile applications in luminescence, whereas identifying optimal synthesis conditions has been challenging due to numerous synthesis parameters and multiple desired outcomes, creating an enormous search space. In this study, we present a novel multi-objective optimization strategy utilizing a machine learning (ML) algorithm to intelligently guide the hydrothermal synthesis of CQDs. Our closed-loop approach learns from limited and sparse data, greatly reducing the research cycle and surpassing traditional trial-and-error methods.

Heart rate patterns of captive Asian elephant () in their natural habitat at Wild Elephant Valley, Xishuangbanna of China.

There are few studies on the changes of heart rate of the Asian elephant (), one of the largest tropical terrestrial mammals, with its self-factors and external environment. By measuring the heart rate of 35 Asian elephants, ranging in age from 4 months to 52 years, using a non-invasive electrocardiogram sensor in their natural habitat at Wild Elephant Valley, Xishuangbanna of China, we found factors that significantly influenced the HR were season, phase of the day, age, body weight, and the interaction between some of the above factors. We also observed that Asian elephants had lower resting heart rate in the morning of hot season than the cold and mild season, and the differences were significant, but the heart rate increased to similar levels in the afternoon regardless of the season.

Predicting valuable missense variants with AlphaMissense in a multiple pulmonary infection patient.

AlphaMissense is proficient in predicting the clinical classification of missense variants. we utilized AlphaMissense to find disease-relevant variants within a polymicrobial pulmonary infection case. Exome sequencing was performed in this patient, and AlphaMissense and Phenolyzer were combined to investigate disease-relevant variants screening from exome sequencing results.

Application of the cell-based RT-qPCR assay (C-QPA) for potency detection of the novel trivalent rotavirus vaccine in China.

Background: Because of the deficiencies of traditional methods in multivalent rotavirus vaccine potency detection, a cell-based quantitative RT-qPCR assay (C-QPA) was established and validated for specificity, precision, and accuracy.

Methods: In order to further validate the robustness of this method in actual titer detection, the linear range and the practical application under different conditions were tested using monovalent and trivalent rotavirus samples and standards.

Results: Results showed that the linear range was 2.

The efficacy of hydrogen/oxygen therapy favored the recovery of omicron SARS-CoV-2 variant infection: results of a multicenter, randomized, controlled trial.

Clinical studies had found that hydrogen/oxygen mixed inhalation was beneficial to ameliorate the respiratory symptoms in the adjuvant treatment of patients with COVID-19. We aimed to explore the efficacy of hydrogen/oxygen therapy in favoring the recovery of Omicron SARS-CoV-2 variant infection. There were 64 patients who randomly assigned to receive hydrogen/oxygen inhalation (32 patients) and oxygen inhalation (32 patients).

AFTR: A Robustness Multi-Sensor Fusion Model for 3D Object Detection Based on Adaptive Fusion Transformer.

Multi-modal sensors are the key to ensuring the robust and accurate operation of autonomous driving systems, where LiDAR and cameras are important on-board sensors. However, current fusion methods face challenges due to inconsistent multi-sensor data representations and the misalignment of dynamic scenes. Specifically, current fusion methods either explicitly correlate multi-sensor data features by calibrating parameters, ignoring the feature blurring problems caused by misalignment, or find correlated features between multi-sensor data through global attention, causing rapidly escalating computational costs.

A Large-Scale Sensor Layout Optimization Algorithm for Improving the Accuracy of Inverse Finite Element Method.

The inverse finite element method (iFEM) based on fiber grating sensors has been demonstrated as a shape sensing method for health monitoring of large and complex engineering structures. However, the existing optimization algorithms cause the local optima and low computational efficiency for high-dimensional strain sensor layout optimization problems of complex antenna truss models. This paper proposes the improved adaptive large-scale cooperative coevolution (IALSCC) algorithm to obtain the strain sensors deployment on iFEM, and the method includes the initialization strategy, adaptive region partitioning strategy, and selection and particle updating strategies, enhancing the reconstruction accuracy of iFEM for antenna truss structure and algorithm efficiency.

A longitudinal resource for population neuroscience of school-age children and adolescents in China.

During the past decade, cognitive neuroscience has been calling for population diversity to address the challenge of validity and generalizability, ushering in a new era of population neuroscience. The developing Chinese Color Nest Project (devCCNP, 2013-2022), the first ten-year stage of the lifespan CCNP (2013-2032), is a two-stages project focusing on brain-mind development. The project aims to create and share a large-scale, longitudinal and multimodal dataset of typically developing children and adolescents (ages 6.

Coarse and Fine Two-Stage Calibration Method for Enhancing the Accuracy of Inverse Finite Element Method.

The inverse finite element method (iFEM) is a novel method for reconstructing the full-field displacement of structures by discrete measurement strain. In practical engineering applications, the accuracy of iFEM is reduced due to the positional offset of strain sensors during installation and errors in structural installation. Therefore, a coarse and fine two-stage calibration (CFTSC) method is proposed to enhance the accuracy of the reconstruction of structures.

An Online Measurement and Calibration Method for a Radio Telescope Sub-Reflector Support Structure Using Fiber Bragg Grating.

The position and altitude of a sub-reflector have an important influence on the pointing accuracy of a radio telescope. With the increase of the antenna aperture, the stiffness of the support structure for the sub-reflector decreases. This causes deformation of the support structure when environmental loads, such as gravity, temperature, and wind load, are applied to the sub-reflector, which will seriously influence antenna pointing accuracy.

Two Molecular Weights Holothurian Glycosaminoglycan and Hematoporphyrin Derivative-Photodynamic Therapy Inhibit Proliferation and Promote Apoptosis of Human Lung Adenocarcinoma Cells.

Holothurian glycosaminoglycan (hGAG) is extracted from the body wall of the sea cucumber, and previous studies have shown many unique bioactivities of hGAG, including antitumor, anti-angiogenesis, anti coagulation, anti thrombosis, anti-inflammation, antidiabetic effect, antivirus, and immune regulation. The effects of 3W and 5W molecular weights hGAG with hematoporphyrin derivative-photodynamic therapy (HPD-PDT) on lung cancer were investigated. Human lung adenocarcinoma A549 cells were divided into 6 groups: control group, 3W molecular weight hGAG group, 5W molecular weight hGAG group, HPD-PDT group, 3W molecular weight hGAG + HPD-PDT group, and 5W molecular weight hGAG + HPD-PDT group.

VV116 versus Nirmatrelvir-Ritonavir for Oral Treatment of Covid-19.

Background: Nirmatrelvir-ritonavir has been authorized for emergency use by many countries for the treatment of coronavirus disease 2019 (Covid-19). However, the supply falls short of the global demand, which creates a need for more options. VV116 is an oral antiviral agent with potent activity against severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2).

Unmasking BACE1 in aging and age-related diseases.

The beta-site amyloid precursor protein (APP)-cleaving enzyme 1 (BACE1) has long been considered a conventional target for Alzheimer's disease (AD). Unfortunately, AD clinical trials of most BACE1 inhibitors were discontinued due to ineffective cognitive improvement or safety challenges. Recent studies investigating the involvement of BACE1 in metabolic, vascular, and immune functions have indicated a role in aging, diabetes, hypertension, and cancer.

Improved Adaptive Multi-Objective Particle Swarm Optimization of Sensor Layout for Shape Sensing with Inverse Finite Element Method.

The inverse finite element method (iFEM) is one of the most effective deformation reconstruction techniques for shape sensing, which is widely applied in structural health monitoring. The distribution of strain sensors affects the reconstruction accuracy of the structure in iFEM. This paper proposes a method to optimize the layout of sensors rationally.

DetectFormer: Category-Assisted Transformer for Traffic Scene Object Detection.

Object detection plays a vital role in autonomous driving systems, and the accurate detection of surrounding objects can ensure the safe driving of vehicles. This paper proposes a category-assisted transformer object detector called DetectFormer for autonomous driving. The proposed object detector can achieve better accuracy compared with the baseline.

Structural and Functional Characterization of a Novel Scorpion Toxin that Inhibits Na1.8 via Interactions With the DI Voltage Sensor and DII Pore Module.

Voltage-gated sodium channel Na1.8 regulates transmission of pain signals to the brain. While Na1.

Endothelial BACE1 Impairs Cerebral Small Vessels via Tight Junctions and eNOS.

Background: Cerebral small vessel injury, including loss of endothelial tight junctions, endothelial dysfunction, and blood-brain barrier breakdown, is an early and typical pathology for Alzheimer's disease, cerebral amyloid angiopathy, and hypertension-related cerebral small vessel disease. Whether there is a common mechanism contributing to these cerebrovascular alterations remains unclear. Studies have shown an elevation of BACE1 (β-site amyloid precursor protein cleaving enzyme 1) in cerebral vessels from cerebral amyloid angiopathy or Alzheimer's disease patients, suggesting that vascular BACE1 may involve in cerebral small vessel injury.

[The Best Time of Minimal Residual Disease Monitoring for Predicting Survival and Prognosis in Children with T-Cell Acute Lymphoblastic Leukemia].

Objective: To investigate the optimal time of monitoring minimal residual disease (MRD) for predicting survival and prognosis in children with T-cell acute lymphoblastic leukemia (T-ALL) after treated by CCLG-ALL2008 chemotherapy.

Methods: 96 children with T-ALL receiving CCLG-ALL2008 chemotherapy treated in our hospital from January 2015 to January 2020 were retrospectively summarized. The follow-up time was 9.

Distribution of COPD Comorbidities and Creation of Acute Exacerbation Risk Score: Results from SCICP.

Background: Chronic obstructive pulmonary disease (COPD) often coexists with multiple comorbidities which may have a significant impact on acute exacerbations of patients. At present, what kind of comorbidities affects acute exacerbations and how comorbidities lead to poor prognosis are still controversial. The purpose of our study is to determine the impact of comorbidities on COPD exacerbation and establish an acute exacerbation risk assessment system related to comorbidities.

Case Report: Proven Diagnosis of Culture-Negative Chronic Disseminated Candidiasis in a Patient Suffering From Hematological Malignancy: Combined Application of mNGS and CFW Staining.

Chronic disseminated candidiasis (CDC) is a severe complication with high morbidity and mortality in patients with hematological malignancies who have undergone chemotherapy. Blood or sterile liver biopsy cultures are negative due to recurrent empirical antifungal therapy. With the escalating resistance to azole-based antifungal drugs in infection by species, pathogen identification is becoming increasingly important for determining definitive diagnosis and treatment strategy.