Cross sectional associations of physical activity and sleep with mental health among Chinese university students.

Objective: This study aimed to examine the levels of physical activity (PA), sleep, and mental health (MH), specifically depression, anxiety, and stress, among Chinese university students. It also aimed to analyze the influencing factors of MH, providing a theoretical foundation for developing intervention programs to improve college students' mental health.

Methods: A stratified, clustered, and phased sampling method was employed.

Screening and identification of evaluation indicators of low phosphorus tolerant germplasm in Gleditsia sinensis Lam.

This study aims to explore the low phosphorus (P) tolerance of saplings from different Gleditsia sinensis Lam. families. It also seeks to screen for Gleditsia sinensis families with strong low P tolerance and identify key indicators for evaluating their tolerance.

A Greedy Tabu Dual Heuristic algorithm for the cyclic pickup and delivery problem with 3D loading constraints.

The optimization of auto parts supply chain logistics plays a decisive role in the development of the automotive industry. To reduce logistics costs and improve transportation efficiency, this paper addresses the joint optimization problem of multi-vehicle pickup and delivery transportation paths under time window constraints, coupled with the three-dimensional loading of goods. The model considers mixed time windows, three-dimensional loading constraints, cyclic pickup and delivery paths, varying vehicle loads and volumes, flow balance, and time window constraints.

Utilizing Artificial neural networks (ANN) to regulate Smart cities for sustainable Urban Development and Safeguarding Citizen rights.

The advent of smart cities has brought about a paradigm shift in urban management and citizen engagement. By leveraging technological advancements, cities are now able to collect and analyze extensive data to optimize service delivery, allocate resources efficiently, and enhance the overall well-being of residents. However, as cities become increasingly interconnected and data-dependent, concerns related to data privacy and security, as well as citizen participation and representation, have surfaced.

Enhanced mechanical properties of alkali-activated dolomite dust emulsified asphalt composites.

The dolomite dust-emulsified asphalt composite (DAC) with excellent mechanical properties was successfully prepared using alkali activation. The effects of different alkali concentrations and emulsified asphalt contents on the mechanical properties of the materials were studied. And the micro-mechanisms of its mechanical performance changes were analyzed through SEM and XRD characterization.

Bioinformatics analysis of miRNAs germacrone protection on diabetic nephropathy.

Diabetes nephropathy (DN) is a prevalent and severe microvascular diabetic complication. Despite the recent developments in germacrone-based therapies for DN, the underlying mechanisms of germacrone in DN remain poorly understood. This study used comprehensive bioinformatics analysis to identify critical microRNAs (miRNAs) and the potential underlying pathways related to germacrone activities.

Prader-Willi syndrome protein necdin regulates the nucleocytoplasmic distribution and dopaminergic neuron development.

Dopamine (DA) plays important roles in various behaviors, including learning and motivation. Recently, THOC5 was identified as an important regulator in the development of dopaminergic neurons. However, how THOC5 is regulated has not been explored.

Management of chest tube after thoracoscopic lung resection in children with congenital lung malformation: a multicenter retrospective study.

This study aimed to investigate the safety and effect of omitting chest tubes after thoracoscopic lobectomy in children with congenital lung malformation. A multicenter retrospective study was performed with 632 thoracoscopic lobectomy CLM patients in four hospitals between 2014.1 and 2023.

An fMRI study on the generalization of motor learning after brain actuated supernumerary robot training.

Generalization is central to motor learning. However, few studies are on the learning generalization of BCI-actuated supernumerary robotic finger (BCI-SRF) for human-machine interaction training, and no studies have explored its longitudinal neuroplasticity mechanisms. Here, 20 healthy right-handed participants were recruited and randomly assigned to BCI-SRF group or inborn finger group (Finger) for 4-week training and measured by novel SRF-finger opposition sequences and multimodal MRI.

The chromatin remodeling factor OsINO80 promotes H3K27me3 and H3K9me2 deposition and maintains TE silencing in rice.

The INO80 chromatin remodeling complex plays a critical role in shaping the dynamic chromatin environment. The diverse functions of the evolutionarily conserved INO80 complex have been widely reported. However, the role of INO80 in modulating the histone variant H2A.

Development of a prognostic gene signature and exploration of P4HA1 in the modulation of cuproptosis in colorectal cancer.

Cuproptosis, a newly identified form of cell death, has drawn increasing attention for its association with various cancers, though its specific role in colorectal cancer (CRC) remains unclear. In this study, transcriptomic and clinical data from CRC patients available in the TCGA database were analyzed to investigate the impact of cuproptosis. Differentially expressed genes linked to cuproptosis were identified using Weighted Gene Co-Expression Network Analysis (WGCNA).

Mechanisms of breast cancer treatment using Gentiana robusta: evidence from comprehensive bioinformatics investigation.

This study investigates the potential treatment of breast cancer utilizing Gentiana robusta King ex Hook. f. (QJ) through an integrated approach involving network pharmacology, molecular docking, and molecular dynamics simulation.

Ultrafast silicon photonic reservoir computing engine delivering over 200 TOPS.

Reservoir computing (RC) is a powerful machine learning algorithm for information processing. Despite numerous optical implementations, its speed and scalability remain limited by the need to establish recurrent connections and achieve efficient optical nonlinearities. This work proposes a streamlined photonic RC design based on a new paradigm, called next-generation RC, which overcomes these limitations.

Electronic ferroelectricity in monolayer graphene moiré superlattices.

Extending ferroelectric materials to two-dimensional limit provides versatile applications for the development of next-generation nonvolatile devices. Conventional ferroelectricity requires materials consisting of at least two constituent elements associated with polar crystalline structures. Monolayer graphene as an elementary two-dimensional material unlikely exhibits ferroelectric order due to its highly centrosymmetric hexagonal lattices.

Characteristics of compression wave propagation and energy absorption effects in dry sandy soil.

The mechanical responses of sandy soil under dynamic loading is closely related to protective engineering and geotechnical engineering, is still not fully understood. To investigate the energy attenuation law and propagation velocity of compressed waves in dry sandy soil, this paper focuses on the dynamic response of compression waves in the specimen under single impact and repetitive impact conditions using an improved split Hopkinson pressure bar (SHPB). The results reveal that the length of the specimen follows an exponential relationship with the attenuation of the peak stress.

Electrical excitability of neuronal networks based on the voltage threshold of electrical stimulation.

Microelectrode arrays (MEAs) have been widely used in studies on the electrophysiological features of neuronal networks. In classic MEA experiments, spike or burst rates and spike waveforms are the primary characteristics used to evaluate the neuronal network excitability. Here, we introduced a new method to assess the excitability using the voltage threshold of electrical stimulation.

Application of rapid genotyping of Warfarin individualized pharmacogenetic variants in Warfarin therapy.

Warfarin is the most widely used oral anticoagulant in clinical practice. The cytochrome P450 2C9 (CYP2C9), vitamin K epoxide reductase complex 1 (VKORC1), and cytochrome P450 4F2 (CYP4F2) genotypes are associated with warfarin dose requirements in China. Accurate genotyping is vital for obtaining reliable genotype-guided warfarin dosing information.

A parallel CNN architecture for sport activity recognition based on minimal movement data.

Novel Human Activity Recognition (HAR) methodologies, which are built upon learning algorithms and employ ubiquitous sensors, have achieved remarkable precision in the identification of sports activities. Such progress benefits all age groups of humanity, and in the future, AI will be used to address difficult problems in scientific research. A novel approach is introduced in this article to utilize motion sensor data in order to categorize and distinguish various categories of sports activities.

A real-world pharmacovigilance analysis of potential ototoxicity associated with sacubitril/valsartan based on FDA Adverse Event Reporting System (FAERS).

Sacubitril/valsartan, a first-in-class angiotensin receptor neprilysin inhibitor, is widely used to treat heart failure. Despite its efficacy, sacubitril/valsartan inevitably causes adverse events such as hypotension, renal dysfunction, hyperkalemia, and angioedema. Sacubitril/valsartan-associated ototoxicity is often underreported in clinical studies and real-world settings.

Dynamic ultrasound-based modeling predictive of response to neoadjuvant chemotherapy in patients with early breast cancer.

Early prediction of patient responses to neoadjuvant chemotherapy (NACT) is essential for the precision treatment of early breast cancer (EBC). Therefore, this study aims to noninvasively and early predict pathological complete response (pCR). We used dynamic ultrasound (US) imaging changes acquired during NACT, along with clinicopathological features, to create a nomogram and construct a machine learning model.

Lake pulses driven by glacier melting and climate variability.

The Tibetan Plateau is home to numerous glaciers that are important for freshwater supply and climate regulation. These glaciers, which are highly sensitive to climatic variations, serve as vital indicators of climate change. Understanding glacier-fed hydrological systems is essential for predicting water availability and formulating climate adaptation strategies.

Genes involved in DMSO-mediated yield increase of entomopathogenic nematodes.

Entomopathogenic nematodes (EPNs) associated with their symbiotic bacteria can effectively kill insect pests, in agriculture, forestry and floriculture. Industrial-scale production techniques for EPNs have been established, including solid and liquid monoculture systems. It is found that supplement of 0.

Clustering Cu-S based compounds using periodic table representation and compositional Wasserstein distance.

Crystal structure similarity is useful for the chemical analysis of nowadays big materials databases and data mining new materials. Here we propose to use two-dimensional Wasserstein distance (earth mover's distance) to measure the compositional similarity between different compounds, based on the periodic table representation of compositions. To demonstrate the effectiveness of our approach, 1586 Cu-S based compounds are taken from the inorganic crystal structure database (ICSD) to form a validation dataset.

Sliding ferroelectric memories and synapses based on rhombohedral-stacked bilayer MoS.

Recent advances have uncovered an exotic sliding ferroelectric mechanism, which endows to design atomically thin ferroelectrics from non-ferroelectric parent monolayers. Although notable progress has been witnessed in understanding the fundamental properties, functional devices based on sliding ferroelectrics remain elusive. Here, we demonstrate the rewritable, non-volatile memories at room-temperature with a two-dimensional (2D) sliding ferroelectric semiconductor of rhombohedral-stacked bilayer MoS.

Association of uveitis with pediatric autoimmune diseases based on a TriNetX study.

To investigate for the risk of uveitis among such patients. A retrospective cohort study utilized the TriNetX database and recruited pediatric autoimmune patients diagnosed between January 1st 2004 and December 31st 2022. The non-autoimmune cohort were randomly selected control patients matched by sex, age, and index year.