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Copper functions as an essential micronutrient influencing diverse metabolic processes in mammals, encompassing oxidative stress responses, lipid metabolism, and participation in enzymatic reactions. However, the impact of serum copper on non-alcoholic fatty liver disease (NAFLD) remains controversial. Our aim was to explore the precise correlation between serum copper and NAFLD in a large-scale population-based study. A total of 1377 participants from the National Health and Nutrition Examination Survey (NHANES) 2011–2016 were included in our study. The diagnosis of NAFLD and its progress to advanced liver fibrosis were based on serological indexes. One-way ANOVA, Kruskal–Wallis H test, and Chi-square test were used to access variations between quartiles groups of serum copper. We conducted multivariate-adjusted logistic regression models and subgroup analyses to investigate the association between serum copper and NAFLD, along with several metabolic diseases. Among the 1377 participants, 661 were diagnosed with NAFLD, and 141 of whom were classified into advanced liver fibrosis. Higher serum copper levels (≥ 21.00 μmol/L) were associated with an increased incidence of NAFLD (odds ratio (OR) = 2.07 (1.38–3.10), p < 0.001), as well as advanced liver fibrosis (OR = 2.40 (1.17–5.19), p = 0.025). Moreover, serum copper exhibited a positive correlation with hypertension, overweight, and abdominal obesity, all of which have been identified as risk factors of NAFLD. Additionally, female participants, under the age of 60, and with a higher body mass index (BMI) (> 24.9 kg/m2) emerged as the most vulnerable subgroup concerning the relationship between serum copper and NAFLD. In the U.S. population, a notable association has been identified, linking elevated serum copper to an increased susceptibility for both the onset and progression of NAFLD, along with several metabolic disorders associated with NAFLD. The adverse effects of excess copper warrant attention in the context of public health considerations. [ABSTRACT FROM AUTHOR]

The risk of gas leakage due to geological flaws in offshore carbon capture, utilization, and storage, as well as leakage from underwater oil or gas pipelines, highlights the need for underwater gas leakage monitoring technology. Remotely operated vehicles (ROVs) and autonomous underwater vehicles (AUVs) are equipped with high-resolution imaging sonar systems that have broad application potential in underwater gas and target detection tasks. However, some bubble clusters are relatively weak scatterers, so detecting and distinguishing them against the seabed reverberation in forward-looking sonar images are challenging. This study uses the dual-tree complex wavelet transform to extract the image features of multibeam forward-looking sonar. Underwater gas leakages with different flows are classified by combining deep learning theory. A pool experiment is designed to simulate gas leakage, where sonar images are obtained for further processing. Results demonstrate that this method can detect and classify underwater gas leakage streams with high classification accuracy. This performance indicates that the method can detect gas leakage from multibeam forward-looking sonar images and has the potential to predict gas leakage flow. [ABSTRACT FROM AUTHOR]

Lasers emit highly directional light with consistent wavelengths, and recent studies have demonstrated their successful applications in gastrointestinal endoscopic therapy. Although argon plasma coagulators (APC) became the preferred treatment option due to improved safety profile and lower costs, advancements in laser and optic fiber manufacturing have reignited interest in laser treatment. Different laser wavelengths have distinct features and applications based on their tissue absorption coefficient. Lasers with shorter wavelengths are effectively absorbed by hemoglobin, resulting in a good coagulation effect. Near-infrared lasers have ability to ablate solid tumors, while far-infrared lasers can make precise mucosal incisions without causing peripheral thermal damage. Lasers have proven to be highly applicable to endoscopy devices such as endoscopes, endoscopic ultrasound (EUS), double-balloon enteroscopes (DBE), and endoscopic retrograde cholangiopancreatography (ERCP), making them a potent tool to enhance the effectiveness of endoscopic treatments with minimal adverse events. This review aims to help readers understand the applications and effectiveness of lasers in gastrointestinal endoscopy, with the potential to promote the development and application of laser technology in the medical field. [ABSTRACT FROM AUTHOR]

Purpose: To explore whether the adverse pregnancy outcomes in first frozen embryo transfer (FET) cycles affect live birth and neonatal outcomes in the subsequent pregnancy?Methods: This was a retrospective study. Women with a history of adverse pregnancy outcomes in first FET cycles started their subsequent embryo transfer cycles. The adverse pregnancy outcomes included biochemical pregnancy, ectopic pregnancy, and first-trimester pregnancy loss. The main outcomes of present study were live birth rate and neonatal outcomes.Results: Results showed patients with first-trimester pregnancy loss in first FET cycles had a 95 percent greater chance of live birth in subsequent FET cycles (OR 1.95, 95% CI 1.33-2.88). However, the biochemical pregnancy/ectopic pregnancy in initial FET cycles did not affect the chance of live birth in second cycles (biochemical pregnancy: OR 1.21, 95% CI 0.82-1.77; ectopic pregnancy: OR 1.06, 95% CI 0.55-2.05). The neonatal outcomes of singletons were not affected by the number of embryo transfer cycles.Conclusions: Patients with first-trimester pregnancy loss in first FET cycle had a greater chance of live birth in second FET cycles, but the biochemical pregnancy/ectopic pregnancy in first FET cycles did not significantly affect the live birth in second FET cycles. The three types of adverse pregnancy outcomes in first FET cycles did not affect neonatal outcomes in the second cycles. [ABSTRACT FROM AUTHOR]

Although a variety of whole-cell biosensors and biosorbents have been developed for detection and removal of heavy metal contaminants, few whole cells can be applied to both monitoring and remediation of copper pollution in water. In this study, a modified plasmid was constructed by incorporating a copper-sensing element and a copper-adsorbing element into a temperature-inducible plasmid, pBV220. This plasmid was subsequently transformed into an engineered Escherichia coli strain lacking copA and cueO. This dual-functional E. coli cell selectively responded to copper ions with a linear detection range of 0.01–25 μM at 37 °C and could express surface-displayed CueR when treated at 42 °C without any costly chemical inducers. The display of CueR on the cell surface specifically enhanced its copper adsorption capacity and rapidly removed copper ions from aqueous solutions. In addition, the CueR surface-displayed cells could be regenerated by adsorption-desorption cycles via pH regulation. Moreover, by simply using two different temperatures, the detection or adsorption of copper using this dual-functional whole cell was achieved without any cross-interference. Most importantly, it provided highly sensitive, accurate quantification, and effective removal of copper in real environmental water samples. Thus, this E. coli cell can be used for large-scale detection and remediation of copper pollutants. [ABSTRACT FROM AUTHOR]