Machine learning-based nomogram for predicting depressive symptoms in women: A cross-sectional study in Guangdong Province, China.

Background: Female depression is a prevalent and increasingly recognized mental health issue. Due to cultural and social factors, many female patients still face challenges in diagnosis and treatment, and traditional assessment methods often fail to identify high-risk individuals accurately. This highlights the necessity of developing more precise predictive tools.

Multiscale Contextual Mamba: Advancing Psychiatric Disorder Detection across Multisite Functional Magnetic Resonance Imaging Datasets via State Space Modeling.

Major depressive disorder (MDD) and autism spectrum disorder (ASD) are complex and heterogeneous neuropsychiatric disorders with overlapping symptoms, presenting remarkable challenges for accurate diagnosis. Leveraging functional neuroimaging data offers an opportunity to develop more robust, data-driven approach for psychiatric disorder detection. However, existing methods often struggle to capture the long-term dependencies and dynamic patterns inherent in such data, particularly across diverse imaging sites.

Efficient parameter identification using nonsmooth and nonconvex regularization for inverse problem of diffuse optical tomography.

To better reconstruct the piecewise constant optical coefficients in diffuse optical tomography, nonconvex and nonsmooth approximation of weak Mumford-Shah functional is considered in this paper. We theoretically analyze the existence of minimizers in piecewise constant finite element space and constrained finite dimensional subsets. However, optimizing such minimization problems presents a computational challenge due to the nonconvex and non-differentiable properties.

Investigation of multimorbidity patterns and association rules in patients with type 2 diabetes mellitus using association rules mining algorithm.

The issue of multimorbidity in patients with type 2 diabetes mellitus (T2DM) is extremely serious. However, the pattern of multimorbidity, including typical complications, remains unclear. This study aims to explore the current status and influencing factors of multimorbidity in T2DM, with a focus on mining frequent disease combination patterns and strong association rules.

Regulatory mechanisms of the Hippo/YAP axis by G-protein coupled estrogen receptor in gastric signet-ring cell carcinoma.

Although aberrant activation of the Hippo/YAP axis has been implicated in the development of gastric cancer, functional studies of this cascade in the context of gastric signet-ring cell carcinoma (GSRC) remain absent. Our previous single-cell sequencing results showed that G protein-coupled estrogen receptor (GPER) is overexpressed in GSRC, and this overexpression is associated with aberrant activation of the Hippo/YAP axis. In this study, we integrated in vitro cytological functional assays with GSRC cell lines and in vivo xenograft nude mice models to elucidate the functional implications of GPER in GSRC.

Stationary distribution of a stochastic SEIR model with infectivity in the incubation period and homestead-isolation on the susceptible under regime switching.

This paper is concerned with a stochastic SEIR model with infectivity in the incubation period and homestead-isolation on the susceptible, which is perturbed by white and colour noises. The model has a unique stationary distribution, which reflects the persistence of epidemics over a long period. Using the Has-minskii theorem and constructing stochastic Lyapunov functions with regime switching, we derive an important condition Comparing the expression for and we can see that if there is no environmental noise, then It ensures the asymptotic stability of the positive equilibrium of the corresponding deterministic system.

Soldering and Bonding in Contemporary Electronic Device Packaging.

Electronic packaging can transform the chip to a device for assembly. Soldering and bonding are important procedures in the process of electronic packaging. The continuous development of packaging architecture has driven the emergence of improved soldering and bonding processes.

Development and internal validation of an interpretable risk prediction model for diabetic peripheral neuropathy in type 2 diabetes: a single-centre retrospective cohort study in China.

Objective: Diabetic peripheral neuropathy (DPN) is a common and serious complication of diabetes, which can lead to foot deformity, ulceration, and even amputation. Early identification is crucial, as more than half of DPN patients are asymptomatic in the early stage. This study aimed to develop and validate multiple risk prediction models for DPN in patients with type 2 diabetes mellitus (T2DM) and to apply the Shapley Additive Explanation (SHAP) method to interpret the best-performing model and identify key risk factors for DPN.

Adult obesity management in Australia: How can we bridge the gap between guidelines and current general practice?

Background And Objectives: Obesity is still recognised as a risk factor rather than a chronic disease in Australia. General practitioners (GPs) have reported a lack of confidence and support in the management of obesity. In this study, we explored GPs' current definitions and treatment of obesity and their attitudes towards proposed clinician educational and billing strategies.

Oxygen/sulfate radicals-generating CaSO nanosonosensitizers induce PANoptosis and calcium overload for enhanced peritoneal metastasis immunotherapy.

Peritoneal metastasis (PM) is typically intractable by immunotherapy due to an immunosuppressive microenvironment and the peritoneal-plasma barrier. Sonodynamic therapy (SDT) presents unique advantages of noninvasive in situ treatment and the potential for antitumor immune activation. Building upon SDT technology, the study reports on a novel biodegradable sonosensitizer, CaSO, characterized by a narrow bandgap, abundant oxygen vacancies and a rapid ultrasound (US) response for abdominal SDT.

Diversity and Functional Roles of Root-Associated Endophytic Fungi in Two Dominant Pioneer Trees Reclaimed from a Metal Mine Slag Heap in Southwest China.

The utilization of fast-growing, economically valuable woody plants with strong stress resistance, such as poplar and willow, to revegetate severely metal-contaminated mine tailings not only offers a productive and profitable use of abandoned polluted soil resources but also facilitates the phytoremediation of these polluted soils. This study examines the diversity and functional roles of endophytic fungi naturally colonizing the roots of an artificially established forest and the naturally reclaimed pioneer species on an abandoned tailing dam in southwest China. Culture-independent analyses revealed that the root systems of both plant species were abundantly colonized by arbuscular mycorrhizal fungi and endophytic fungi, forming rich and diverse endophytic fungal communities predominantly represented by the genera , , , and unclassified members of Helotiales.

Promoted Two-Step Ammonia Synthesis with CoOOH/Co foam at Ampere-Level Current Density and Nearly 100% Faraday Efficiency from Air and Water.

Ammonia (NH) is regarded as an essential hydrogen storage material in the new energy field, and plasma-electrocatalytic synthesis of NH (PESA) is an alternative to the traditional Haber-Bosch process. Here, a bifunctional catalyst CoOOH/CF is proposed to enhance the PESA process. Benefiting from the efficient activation of O by CoOOH/CF, NO yield rate can reach the highest value of 171.

Pyroptosis induced by natural products and their derivatives for cancer therapy.

Natural products, which are compounds extracted and/or refined from plants and microbes in nature, have great potential for the discovery of therapeutic agents, especially for infectious diseases and cancer. In recent years, natural products have been reported to induce multiple cell death pathways to exhibit antitumor effects. Among them, pyroptosis is a unique programmed cell death (PCD) characterized by continuous cell membrane permeability and intracellular content leakage.

Application of machine learning algorithms in predicting carotid artery plaques using routine health assessments.

Background: Cardiovascular diseases (CVD) constitute a grave global health challenge, engendering significant socio-economic repercussions. Carotid artery plaques (CAP) are critical determinants of CVD risk, and proactive screening can substantially mitigate the frequency of cardiovascular incidents. However, the unequal distribution of medical resources precludes many patients from accessing carotid ultrasound diagnostics.

Assessment of the potential risks in SD rats gavaged with genetically modified yeast containing the gene.

Introduction: Despite the absence of definitive evidence indicating that the cp4-epsps gene and its resultant recombinant proteins have significant harmful effects on either human or animal health, the safety assessment of genetically modified (GM) crops expressing the CP4-EPSPS proteins has been controversial. This study endeavor was aimed at evaluating the potential risks posed by the CP4-EPSPS protein in transgenic crops, thereby contributing to the advancement of risk assessment methodologies in the context of genetically engineered crops.

Methods: To ascertain the appropriate daily dosages for oral gavage administration, the expression levels of the CP4-EPSPS protein in a recombinant yeast were quantified.

A nomogram predicting distant metastasis risk for gastric cancer patients with preoperative anemia: a multicenter retrospective study.

Background: Anemia represents a well-established risk factor for patients diagnosed with gastric cancer, and is often associated with an unfavorable prognosis. In this context, the timely prediction of distant metastasis risk in patients with anemic gastric cancer assumes paramount importance.

Methods: Information of gastric cancer patients complicated with preoperative anemia in the First Affiliated Hospital of Sun Yat-sen University was collected.

Toward a neurocircuit-based sequential transcranial magnetic stimulation treatment of pediatric bipolar II disorder.

Background: Abnormalities in large-scale neuronal networks-the frontoparietal central executive network (CEN)-are consistent findings in bipolar disorder and potential therapeutic targets for transcranial magnetic stimulation (TMS).

Objective: The present study aimed to assess the effects of CEN neurocircuit-based sequential TMS on the clinical symptoms and cognitive functions of adolescents with bipolar II disorder.

Methods: The study was a single-blinded, randomized, placebo-control trial.

Stationary distribution and probability density function analysis of a stochastic Microcystins degradation model with distributed delay.

A stochastic Microcystins degradation model with distributed delay is studied in this paper. We first demonstrate the existence and uniqueness of a global positive solution to the stochastic system. Second, we derive a stochastic critical value $ R_0^s $ related to the basic reproduction number $ R_0 $.

The first case of intellectual disability caused by novel compound heterozygosity for NUDT2 variants.

NUDT2 is an enzyme important for maintaining the intracellular level of the diadenosine tetraphosphate (Ap4A). Bi-allelic loss of function variants in NUDT2 has recently been reported as a rare cause of intellectual disability (ID). Herein, we describe a Chinese girl with ID, attention deficit hyperactivity disorder (ADHD), and motor delays with abnormal walking posture and difficulty climbing stairs, who bears compound heterozygous variants c.

Stationary distribution for a three-dimensional stochastic viral infection model with general distributed delay.

This work examines a stochastic viral infection model with a general distributed delay. We transform the model with weak kernel case into an equivalent system through the linear chain technique. First, we establish that a global positive solution to the stochastic system exists and is unique.