A systematic review and meta-analysis of the effects of combined aripiprazole on glycolipid metabolism in schizophrenia.

Background: Current research on aripiprazole adjunct therapy suggests potential benefits in improving psychiatric symptoms and metabolic disorders in patients with schizophrenia. However, the evidence remains limited due to the scarcity of research and a lack of detailed analysis on glucose and lipid metabolism indicators. This study aims to systematically review and analyze randomized controlled trials (RCTs) to evaluate the effects of aripiprazole combination therapy on both psychiatric symptoms and glycolipid metabolism.

Detection of circular permutations by Protein Language Models.

Protein circular permutations are crucial for understanding protein evolution and functionality. Traditional detection methods face challenges: sequence-based approaches struggle with detecting distant homologs, while structure-based approaches are limited by the need for structure generation and often treat proteins as rigid bodies. Protein Language Model-based alignment tools have shown advantages in utilizing sequence information to overcome the challenges of detecting distant homologs without requiring structural input.

Unraveling the functional complexity of the locus coeruleus-norepinephrine system: insights from molecular anatomy to neurodynamic modeling.

The locus coeruleus (LC), as the primary source of norepinephrine (NE) in the brain, is central to modulating cognitive and behavioral processes. This review synthesizes recent findings to provide a comprehensive understanding of the LC-NE system, highlighting its molecular diversity, neurophysiological properties, and role in various brain functions. We discuss the heterogeneity of LC neurons, their differential responses to sensory stimuli, and the impact of NE on cognitive processes such as attention and memory.

Joint disentangled representation and domain adversarial training for EEG-based cross-session biometric recognition in single-task protocols.

The increasing adoption of wearable technologies highlights the potential of electroencephalogram (EEG) signals for biometric recognition. However, the intrinsic variability in cross-session EEG data presents substantial challenges in maintaining model stability and reliability. Moreover, the diversity within single-task protocols complicates achieving consistent and generalized model performance.

Monitoring nap deprivation-induced fatigue using fNIRS and deep learning.

Fatigue-induced incidents in transportation, aerospace, military, and other areas have been on the rise, posing a threat to human life and safety. The determination of fatigue states holds significant importance, especially through reliable and conveniently available physiological indicators. Here, a portable custom-built fNIRS system was used to monitor the fatigue state caused by nap deprivation.

Effects of EGR Rate and Temperature on Combustion and Emissions Characteristics of Compression Ignition Engines Fueled with Hydrotreated Vegetable Oil.

This study investigates the effects of varying exhaust gas recirculation (EGR) rates and temperatures on the combustion and emissions characteristics of a compression ignition engine fueled with hydrotreated vegetable oil (HVO). Understanding these effects is essential for optimizing renewable fuel applications in compression ignition engines, contributing to cleaner combustion, and supporting sustainable transportation initiatives. The experiments revealed that increasing the EGR rate to 20% not only reduces NOx emissions by approximately 25% but also increases smoke by around 15%, highlighting a trade-off between NOx and particulate matter control.

Heat-Fluid-Solid-Coupled Model for Flue Gas Displacement of CH in Coal Seams and Its Applications.

The objective of this study was to evaluate the effect of injecting flue gas (CO, N, and O) originating from coal-fired power plants into a coal seam on CH extraction and CO geological storage. To this end, a multifield thermal-fluid-solid-coupled mathematical model of flue gas injection extraction was established. The results showed that with the increase in time increase, the volume concentration of CH decreased, but the CO, N, and O increased.

Facile Labeling of Gram-Negative Bacteria with NIR-II Fluorescent Nanoprobes for Intestinal Bacteria Imaging.

The gut bacteria not only play a crucial role in maintaining human health but also exhibit close associations with the occurrence of numerous diseases. Understanding the physiological and pathological functions of gut bacteria and enabling early diagnosis of gut diseases heavily relies on accurate knowledge about their in vivo distribution. Consequently, there is a significant demand for noninvasive imaging techniques capable of providing real-time localization information regarding gut bacteria.

Deep Drug-Target Binding Affinity Prediction Base on Multiple Feature Extraction and Fusion.

Accurate drug-target binding affinity (DTA) prediction is crucial in drug discovery. Recently, deep learning methods for DTA prediction have made significant progress. However, there are still two challenges: (1) recent models always ignore the correlations in drug and target data in the drug/target representation process and (2) the interaction learning of drug-target pairs always is by simple concatenation, which is insufficient to explore their fusion.

Identifying Natural Products as Feline Coronavirus M Inhibitors by Structural-Based Virtual Screening and Enzyme-Based Assays.

The main protease (M) is a pivotal target in the life cycle of feline coronavirus (FCoV), which causes a high mortality feline disease, feline infectious peritonitis (FIP). Virtual screening was performed against the feline coronavirus M to find active compounds with low toxicity from a library of natural products. Eighty-six compounds were selected by using the rank of docking score and binding pose analysis.

Comprehensive Study on the Thermoelectric Properties and Influencing Factors of Wearable Spiral Bracelets Enhanced by Radiation Cooling.

Wearable thermoelectric generator (TEG) can collect human body heat and convert it into electrical energy, achieving self-powering of the device and thus becoming a hot research topic at present. By utilization of three-dimensional spiral thin-film thermoelectric structures and passive radiation cooling methods, the heat transfer area can be increased and power generation can be enhanced. In order to study the effect of outdoor radiation cooling on the thermoelectric performance of spiral heating, as well as the TEG performance output under different external environments and circuit loads, this paper proposes a new three-dimensional coupled numerical model of the spiral thermoelectric wristband system with multiple physical fields.

Phage Display-Mediated Immuno-Multiplex Quantitative PCR for the Simultaneous Quantification of IFN-γ and IL-6.

In phage display technology, exogenous DNA is inserted into the phage genome, which generates a fusion protein with the phage coat protein, facilitates expression and promotes biological activity. This approach is primarily used to screen antibody libraries owing to its high library capacity and fast technical cycle; additionally, various types of genetically altered antibodies can be easily produced. In this study, we fused the pIII structural protein of the M13K07 phage with a scFv created by connecting the VH and VL domains of an anti-IFN-γ antibody.

Enhanced Corneal Repair with Hyaluronic Acid/Proanthocyanidins Nanoparticles.

This study investigates the therapeutic potential of hyaluronic acid/proanthocyanidin (HA/PAC) nanoparticles in treating alkali-induced corneal burns. Alkali burns are common ocular emergencies that can lead to severe vision impairment if not promptly and properly treated. The low water solubility of proanthocyanidins (PACs), which are potent antioxidant and anti-inflammatory agents, limits their bioavailability and therapeutic efficacy.

Vimentin as a contributing factor in SARS-CoV-2-induced orchitis on postmortem testicular autopsy of COVID-19 cases: A case-control study.

Background: Coronavirus disease 2019 (COVID-19) was identified in China in late December 2019 and led to a pandemic that resulted in millions of confirmed cases and deaths. The causative agent, severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2), uses distinct receptors and co-receptors to enter host cells. Vimentin has emerged as a potential co-receptor for SARS-CoV-2 due to the high level of vimentin expression in testis tissue.

When Technology Meets Anxiety:The Moderating Role of AI Usage in the Relationship Between Social Anxiety, Learning Adaptability, and Behavioral Problems Among Chinese Primary School Students.

Objective: This study aims to examine the relationships between social anxiety, learning adaptability, AI technology usage, and behavioral problems among primary school students, with a focus on the mediating role of learning adaptability and the moderating role of AI usage.

Methods: A cross-sectional survey was conducted among 1240 primary school students aged 8-15 in Luzhou, Sichuan Province. Social anxiety was measured using the Social Anxiety Scale for Children (SASC), learning adaptability was assessed with the Children's Learning Adaptability Questionnaire (CSAQ), behavioral problems were evaluated using the Child Behavior Checklist (CBCL), and AI tool usage was gauged through a self-developed questionnaire.

FusionU10: enhancing pedestrian detection in low-light complex tourist scenes through multimodal fusion.

With the rapid development of tourism, the concentration of visitor flows poses significant challenges for public safety management, especially in low-light and highly occluded environments, where existing pedestrian detection technologies often struggle to achieve satisfactory accuracy. Although infrared images perform well under low-light conditions, they lack color and detail, making them susceptible to background noise interference, particularly in complex outdoor environments where the similarity between heat sources and pedestrian features further reduces detection accuracy. To address these issues, this paper proposes the FusionU10 model, which combines information from both infrared and visible light images.

Analysing head and trunk motion in the judo osoto-gari technique: relationship to sweeping-leg velocity.

Background: Osoto-gari is a leg throw technique that primarily relies on the hip extension to initiate the sweeping motion of the leg. A high sweep contact velocity is a crucial factor in efficiently executing this technique. While some literature emphasises whole-body coordination in the leg-sweeping action, the roles of trunk and head motion remain unclear.

Deep water vetulicolians from the lower Cambrian of China.

Vetulicolians are an enigmatic phylum of extinct Cambrian marine invertebrates. They are particularly diverse in the Chengjiang Biota of China, but representatives have been recovered from other Fossil-Lagerstätten (Cambrian Stage 3-Drumian). These organisms are characterized by a bipartite body, which is split into an anterior section and a posterior segmented section connected by a narrow constriction.

Evidence of a 4.33 billion year age for the Moon's South Pole-Aitken basin.

The Moon's farside South Pole-Aitken (SPA) basin is the largest and oldest visible impact basin in the inner Solar System. Determining the timing of this catastrophic event is key to understanding the onset of the lunar basin-forming epoch, with implications for understanding the impact bombardment history of the inner Solar System. Despite this, the formation age of the SPA basin remains poorly constrained.

Predicting functional outcomes of patients with spontaneous intracerebral hemorrhage based on explainable machine learning models: a multicenter retrospective study.

Background: Spontaneous intracerebral hemorrhage (SICH) is the second most common cause of cerebrovascular disease after ischemic stroke, with high mortality and disability rates, imposing a significant economic burden on families and society. This retrospective study aimed to develop and evaluate an interpretable machine learning model to predict functional outcomes 3 months after SICH.

Methods: A retrospective analysis was conducted on clinical data from 380 patients with SICH who were hospitalized at three different centers between June 2020 and June 2023.

elevated concentrations of soil-bound heavy metals and magnetic particles in a typical urban plateau lake wetland, China.

Vegetation change significantly altered the hydrological processes and soil erosion within riparian ecosystems. It is unclear how change in managed vegetation types affect the geochemical behavior of heavy metals (HMs) and magnetic particles in karst riparian areas. Two soil depths of 0-20 cm and 20-40 cm were taken in alien species (), native species and in a typical urban plateau Lake wetland, Caohai lake, China.

Effects of pulsatile flow on postoperative recovery in adult cardiac surgery with cardiopulmonary bypass: A systematic review and meta-analysis of randomized controlled trials.

Background: The role of pulsatile versus non-pulsatile flow during cardiopulmonary bypass (CPB) is still in debate. This systematic review aimed to comprehensively assess the impact of pulsatile versus non-pulsatile flow on patients' recovery.

Methods: We searched MEDLINE, EMBASE, and Cochrane Library databases for randomized controlled trials comparing pulsatile and non-pulsatile flow in cardiac surgeries with CPB.

A wireless sensor network for coal mine safety powered by modified localization algorithm.

Coal mining industry is one of the main source for economy of every nations, whereas safety in the underground coal mining area is still doubtful. According to some reports, there is heavy loss of life and money due to the occasional accidents in the coal mining area. Some existing researchers has been addressed this issue and approached their method.

Association of ambient temperature with social isolation among the community-dwelling Chinese older adults: A cross-sectional study in Hong Kong.

Background: The adverse health impacts of ambient temperature have been well-documented, encompassing not only the mortality and morbidity burden but also mood and mental health disorders. However, the relationship between temperature and social isolation remains unexplored. The objective of the current study was to investigate the potential associations between ambient temperature and social isolation among the aging population.