Atypical progression of delayed encephalopathy post-carbon monoxide poisoning with fluctuating psychotic symptoms: a case report.

Objectives: This report details a case of delayed encephalopathy after acute carbon monoxide poisoning (DEACMP), a condition with significant neuropsychiatric sequelae that is often underrecognized. The case is notable for its atypical progression and poor response to conventional treatments, highlighting the need for awareness and novel approaches in managing similar cases.

Case Report: Mrs.

Deep learning-based detection of depression by fusing auditory, visual and textual clues.

Background: Early detection of depression is crucial for implementing interventions. Deep learning-based computer vision (CV), semantic, and acoustic analysis have enabled the automated analysis of visual and auditory signals.

Objective: We proposed an automated depression detection model based on artificial intelligence (AI) that integrated visual, auditory, and textual clues.

The Relationship Between Envy and Problematic Social Media Use: Evidence From Longitudinal Study and Daily Diary Investigation.

Social media is widely used worldwide, and previous research has established a link between envy and social media use. However, the dynamic association between envy and problematic social media use has rarely been explored. Based on Social Comparison Theory and Innovation Adoption Framework, the study examined the relationship between envy and problematic social media use.

A Novel 24 h × 7 Days Broken Wire Detection and Segmentation Framework Based on Dynamic Multi-Window Attention and Meta-Transfer Learning.

Detecting and segmenting damaged wires in substations is challenging due to varying lighting conditions and limited annotated data, which degrade model accuracy and robustness. In this paper, a novel 24 h × 7 days broken wire detection and segmentation framework based on dynamic multi-window attention and meta-transfer learning is proposed, comprising a low-light image enhancement module, an improved detection and segmentation network with dynamic multi-scale window attention (DMWA) based on YOLOv11n, and a multi-stage meta-transfer learning strategy to support small-sample training while mitigating negative transfer. An RGB dataset of 3760 images is constructed, and performance is evaluated under six lighting conditions ranging from 10 to 200,000 lux.

Efficient TD3 based path planning of mobile robot in dynamic environments using prioritized experience replay and LSTM.

To address the challenges of sample utilization efficiency and managing temporal dependencies, this paper proposes an efficient path planning method for mobile robot in dynamic environments based on an improved twin delayed deep deterministic policy gradient (TD3) algorithm. The proposed method, named PL-TD3, integrates prioritized experience replay (PER) and long short-term memory (LSTM) neural networks, which enhance both sample efficiency and the ability to handle time-series data. To verify the effectiveness of the proposed method, simulation and practical experiments were designed and conducted.

Harsh Parenting and Problematic Smartphone Use: The Chain Mediating Effects of Attention to Negative Information and Social Anxiety.

Harsh parenting has been shown to be associated with problematic smartphone use among adolescents. However, few studies have explored the relationship between harsh parenting and problematic smartphone use through a dual-system framework that integrates both emotional and cognitive processing. We aim to investigate the serial mediation effects of attention to negative information and social anxiety in the relationship between harsh parenting and problematic smartphone use among adolescents.

PLT012, a Humanized CD36-Blocking Antibody, Is Effective for Unleashing Antitumor Immunity Against Liver Cancer and Liver Metastasis.

Unlabelled: Tumor cells develop various strategies to evade immune surveillance, one of which involves altering the metabolic state of the tumor microenvironment. In response to metabolic stress in the tumor microenvironment, several tumor-infiltrating immune subsets upregulate CD36 to take up lipids. This leads to impaired antitumor immunity, as intratumoral regulatory T cells exhibit increased survival and suppressive activity, whereas CD8+ T cells become more susceptible to ferroptosis and exhaustion.

Parsing the heterogeneity of depression: a data-driven subgroup derived from cognitive function.

Background: Increasing evidences suggests that depression is a heterogeneous clinical syndrome. Cognitive deficits in depression are associated with poor psychosocial functioning and worse response to conventional antidepressants. However, a consistent profile of neurocognitive abnormalities in depression remains unclear.

Diagnosis of schizophrenia by integrated saccade scores and associations with psychiatric symptoms, and functioning.

Eye movement as a neurobiological biomarker of schizophrenia. We aim to estimate diagnostic accuracy of integrated pro/antisaccade eye movement measurements to discriminate between healthy individuals and schizophrenic patients. We compared the eye movement performance of 85 healthy individuals and 116 schizophrenia-stable patients during prosaccade and antisaccade tasks.

Microbial electrochemical enhanced composting of sludge and kitchen waste: Electricity generation, composting efficiency and health risk assessment for land use.

To realize the energy and resource utilization from organic solid waste, a two-phase microbial desalination cell (TPMDC) was constructed using dewatered sludge and kitchen waste as the anode substrate. The performance of electricity generation and composting efficacy was investigated, along with a comprehensive assessment of the potential health risks associated with the land use of the resulting mixed compost products. Experimental outcomes revealed a maximum open-circuit voltage of 0.

Eye movements as predictor of cognitive improvement after cognitive remediation therapy in patients with schizophrenia.

Aim: Baseline cognitive functions of patients predicted the efficacy of cognitive remediation therapy (CRT), but results are mixed. Eye movement is a more objective and advanced assessment of cognitive functions than neuropsychological testing. We aimed to investigate the applicability of eye movements in predicting cognitive improvement after patients with schizophrenia were treated with CRT.

Velocity-aware spatial-temporal attention LSTM model for inverse dynamic model learning of manipulators.

Introduction: An accurate inverse dynamics model of manipulators can be effectively learned using neural networks. However, further research is required to investigate the impact of spatiotemporal variations in manipulator motion sequences on network learning. In this work, the Velocity Aware Spatial-Temporal Attention Residual LSTM neural network (VA-STA-ResLSTM) is proposed to learn a more accurate inverse dynamics model, which uses a velocity-aware spatial-temporal attention mechanism to extract dynamic spatiotemporal features selectively from the motion sequence of the serial manipulator.

A deep learning-based model for detecting depression in senior population.

Objectives: With the attention paid to the early diagnosis of depression, this study tries to use the biological information of speech, combined with deep learning to build a rapid binary-classification model of depression in the elderly who use Mandarin and test its effectiveness.

Methods: Demographic information and acoustic data of 56 Mandarin-speaking older adults with major depressive disorder (MDD), diagnosed with the Mini-International Neuropsychiatric Interview (MINI) and the fifth edition of Diagnostic and Statistical Manual of Mental Disorders (DSM-5), and 47 controls was collected. Acoustic data were recorded using different smart phones and analyzed by deep learning model which is developed and tested on independent validation set.

Two-Stage Water Jet Landing Point Prediction Model for Intelligent Water Shooting Robot.

In this paper, an intelligent water shooting robot system for situations of carrier shake and target movement is designed, which uses a 2 DOF (degree of freedom) robot as an actuator, a photoelectric camera to detect and track the desired target, and a gyroscope to keep the robot's body stable when it is mounted on the motion carriers. Particularly, for the accurate shooting of the designed system, an online tuning model of the water jet landing point based on the back-propagation algorithm was proposed. The model has two stages.

[Identification of plantaginis semen based on ITS2 and psbA-trnH sequences].

In order to evaluate the efficiency of ITS2 and psbA-trnH sequences used as DNA barcodes to distinguish Plantaginis Semen from its adulterants, we collected 71 samples of Plantaginis Semen and its adulterants. The ITS2 and psbA-trnH sequences were aligned through Clustal W, and the genetic distances were calculated by kimura 2-parameter (K2P) model and the Neighbor-Joining (NJ) phylogenetic trees were constructed using MEGA 5.1.

[Identification of pyrrosiae folium and its adulterants based on psbA-trnH sequence].

In this study, the psbA-trnH sequence as DNA barcode was used to evaluate the accuracy and stability for identification pteridophyte medicinal material Pyrrosiae Foliumas from adulterants. Genomic DNA from 106 samples were extracted successfully. The Kimura 2-Parameter (K2P) distances and ML tree were calculated using software MEGA 6.

A rat model of thrombosis in common carotid artery induced by implantable wireless light-emitting diode device.

This work has developed a novel approach to form common carotid artery (CCA) thrombus in rats with a wireless implantable light-emitting diode (LED) device. The device mainly consists of an external controller and an internal LED assembly. The controller was responsible for wirelessly transmitting electrical power.

[Study on extraction and purification technology of Hubei ophiopogon saponins].

Objective: To explore the extraction and purification technology of total saponins from the effective parts of Liriope spicata.

Methods: Orthogonal design was used. Macroporous resin was selected to separate and purify total saponin from the effective parts of Liriope spicata.

Differences between chondrocytes and bone marrow-derived chondrogenic cells.

Implantation of autologous chondrogenic cells has become the mainstay strategy for repairing articular cartilage defects. Because the availability of autologous chondrocytes is extremely limited, many recent studies have used artificially induced mesenchymal stem cells (iMSCs) as substitutes for chondrocytes. In this study, we analyzed the differences between the iMSCs and chondrocytes, including their molecular biological and mechanical properties.

Significance of the pH-induced conformational changes in the structure of C-reactive protein measured by dual polarization interferometry.

Emerging evidence indicates that the conformation of C-reactive protein (CRP) plays important roles in human inflammation and cardiovascular disease (CVD). The different conformations in the structure of CRP under different pH conditions remain an important issue to be investigated for explaining various functions of CRP under certain physiologic and pathologic conditions. We directly measured the pH-induced conformational changes in the structure of CRP by dual polarization interferometry (DPI).

Mass-size distributions of particulate sulfate, nitrate, and ammonium in a particulate matter nonattainment region in southern Taiwan.

Concentrations and distributions of three major water-soluble ion species (sulfate, nitrate, and ammonium) contained in ambient particles were measured at three sampling sites in the Kao-ping ambient air quality basin, Taiwan. Ambient particulate matter (PM) samples were collected in a Micro-orifice Uniform Deposit Impactor from February to July 2003 and were analyzed for water-soluble ion species with an ion chromatograph. The PM1/ PM2.