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Environmental uncertainties present a significant challenge in the design of onboard photovoltaic hybrid power systems (PV-HPS), a pivotal decarbonization technology garnering widespread attention in the shipping industry. Neglecting environmental uncertainties associated with photovoltaic (PV) output and hull resistance can lead to suboptimal solutions. To address this issue, this paper proposes a stochastic optimization method for PV-HPS, aiming to minimize greenhouse gas (GHG) emissions and lifecycle costs. Copula functions are employed to establish joint distributions of uncertainties in solar irradiance, ambient temperature, significant wave height, and wave period. Monte Carlo simulation, the bi-bin method, and the multi-objective particle swarm optimization (MOPSO) algorithm are utilized for scenario generation, scenario reduction, and design space exploration. The efficacy of the proposed method is demonstrated through a case study involving an unmanned ship. Additionally, deterministic optimization and two partial stochastic optimizations are conducted to underscore the importance of simultaneously considering environmental uncertainties related to power sources and hull resistance. The results affirm the proposed approach's capability to reduce GHG emissions and lifecycle costs. A sensitivity analysis of bin number is performed to investigate the tradeoff between optimality and computation time. [ABSTRACT FROM AUTHOR]

Background: Streptococcus suis is an emerging zoonotic pathogen that mainly causes meningitis, sepsis, arthritis, endocarditis, and endophthalmitis in human. To the best of our knowledge, Spinal canal infection caused by Streptococcus suis has rarely been reported.Case Presentation: Here we report a case of spinal canal infection caused by Streptococcus suis in a 50-year-old male patient. The patient had a history of close contact with sick pigs days before disease onset. Initially he presented with headache and fever. After admission, the patient began to experience lower back pain, which led physicians to perform a lumber puncture. Meta-genomic next generation sequencing helped identify Streptococcus suis in the cerebrospinal fluid. MRI imaging indicated a spinal canal infection caused by Streptococcus suis.Conclusions: Spinal canal infection is an uncommon disease of Streptococcus suis infection. This case report indicates that people presented with fever, headache and lower back pain should also be suspected as Streptococcus suis infection, especially for those who have had a history of sick pig contact. [ABSTRACT FROM AUTHOR]

Reference 1 Xie C, Zhu J, Wang X. Tobacco smoke induced hepatic cancer stem cell-like properties through IL-33/p38 pathway. -actin was served as the loading control. h-i The indicated proteins relative to -actin were assessed by densitometric analysis; six animal samples per group were used for the densitometric analysis. [Extracted from the article]

To design a distributed fiber optic vibration sensor for urban natural gas pipeline leak detection, the light polarization fading transmission model based on Jones matrix is built in this mixed Sagnac/Mach-Zehnder interferometer configuration. The interference light intensity of pipeline with leakage and without leakage cases is compared through spectrum analyzer. When fiber length ranges from 1.5 to 9.5 km, the light power intensity (central wavelength 1550 nm) reduces to −56 dB. In experiment, the leaky spectrum null frequencies are captured and the average relative error of leakage point location varies from 2.3 to 5.3%. When the sensing length is expanded to 9.5 km, the vibration sensor system sensitivity is 0.57 Hz/m. [ABSTRACT FROM AUTHOR]

Background: As a tumor suppressor, p16 can competitively block the cyclin D1-CDK4/6 complex to arrest the cell cycle in the G1 phase. Lack of p16 gene expression can lead to infinite cell proliferation and malignant transformation., Objectives: To determine whether the hepatitis B virus X protein (HBx) regulates the methylation and expression of the p16 gene., Material and Methods: We constructed a eukaryotic expression vector carrying the HBx gene and green fluorescent protein (GFP), and transfected it into HepG2 cells to build cell lines stably expressing GFP and GFP-HBx. The p16 protein level and p16 gene methylation were measured in these cell lines. We further detected the mRNA expression of DNA methyltransferases (DNMTs) 1, 3A and 3B. The DNMT1, DNMT3A and DNMT3B gene promoter sequences were inserted into a reporter vector (pGL3-Basic) to build recombinant vectors, which were then transiently transfected into different cell lines. After 48 h, the luciferase activity was measured., Results: The level of p16 protein in GFP-HBx/HepG2 cells was significantly lower than in HepG2 and GFP/HepG2 cells. The CpG methylation was present in the p16 gene promoter region of GFP-HBx/HepG2 cells. The DNMT1 and DNMT3A mRNA levels in GFP-HBx/HepG2 cells were significantly elevated compared to that in the HepG2 cells (p = 0.0495). The luciferase activity in GFP-HBx/HepG2 cells transfected with the pGL3-DNMT1/3A pro plasmid was significantly higher than in HepG2 and GFP/HepG2 cells (both p < 0.05)., Conclusions: The HBx can induce p16 gene promoter methylation and inhibit the expression of p16 in HepG2 cells. This occurs due to HBx activation of DNMT1 and DNMT3A promoters and the induction of p16 promoter methylation, which downregulates the expression of p16 protein.