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This experimental study investigates the damage effects of nanosecond pulse laser irradiation on silicon solar cells. It encompasses the analysis of transient pulse signal waveform characteristics at the cells' output and changes in electrical parameters, such as I–V curves before and after laser irradiation under varying laser fluence and background light intensities, and explores the underlying action mechanisms of laser irradiation. The study reveals that as the laser fluence increases up to 4.0 J/cm2, the peak value of the transient pulse signal increases by 47.5%, while the pulse width augments by 88.2% compared to the initial transient pulse signal. Furthermore, certain parameters, such as open-circuit voltage, short-circuit current, and peak power obtained, from the measured I–V curve indicate a threshold laser fluence for functional degradation of the solar cell at approximately 1.18 ± 0.42 J/cm2. Results obtained from laser irradiation under different background light intensities underscore the significant influence of background light on laser irradiation of silicon cells, with the most severe damage occurring in the absence of light. Moreover, findings from laser irradiation at multiple locations on the silicon cell demonstrate a linear decrease in the output voltage of the silicon cell with an increase in the number of irradiation points. [ABSTRACT FROM AUTHOR]

Emerging pathogenic tick‐borne viruses (TBVs) have attracted a great deal of attention due to their significant impact on human and animal health. A novel orthonairovirus named Dadong virus (DDV) was isolated from Haemaphysalis concinna ticks in the Changbai Mountain region on the China–North Korea border. DDV can induce cytopathic effects in mammalian and human cell lines. Phylogenetic analysis showed that it belongs to the genus Orthonairovirus, family Nairoviridae, exhibiting 72.4%–81.3% nucleic acid identity to Tofla orthonairovirus, known to cause lethal infection in IFNAR KO mice. The first serological evidence of DDV circulating in cattle and mice was also obtained, with 4.0% (1/25) of cattle and 2.27% (1/44) of mice seropositive for DDV. Further investigations, including serological surveys using human samples, are required to assess the public health risk posed by DDV. [ABSTRACT FROM AUTHOR]

AbstractIn this article, we analyze a robust optimal reinsurance and investment problem in a model with default risks and jumps for a general company which holds shares of an insurer and a reinsurer. The insurer’s surplus is characterized by a diffusion model and the insurer has the opportunity to buy proportional reinsurance from the reinsurer. Moreover, the insurer can invest in a risk-free asset (bank account), a risky asset (stock), and a defaultable bond. Meanwhile, the reinsurer can also invest in a risk-free asset and another risky asset. The price dynamics of the risky asset is assumed to follow a jump-diffusion model. What is more, the general company is concerned about the ambiguity and aims to find a robust optimal reinsurance and investment strategy. The objective of the general company is to maximize the minimal expected exponential utility of the weighted sums of the insurer’s and the reinsurer’s terminal wealth. Applying stochastic dynamic programming approach, we first establish the robust HJB (Hamilton-Jacobi-Bellman) equations for the post-default case and the pre-default case, respectively. Furthermore, we obtain the robust optimal strategy explicitly and present the corresponding verification theorem. Finally, we give some numerical examples to demonstrate the influences of model parameters on the robust optimal strategy. [ABSTRACT FROM AUTHOR]

Irrational pharmacotherapy and increasing pharmacy costs remain major concerns in healthcare systems. Pharmacists are expected to employ diagnosis-related group (DRG) data to analyse inpatient pharmacy utilization. This project aimed to pilot an efficient pharmacist-led programme to analyse factors related to pharmacy expenses, evaluate the rational use of drugs in batch processing, and make further interventions based on DRG data. Patients from the OB25 (caesarean section without comorbidities or complications) DRG were selected in 2018, and the most relevant factors were identified through statistical analysis. Interventions were implemented by sending monthly reports on prescribing data and drug review results for the same DRGs to the department starting in 2019. Pre–post comparisons were conducted to demonstrate changes in pharmacy costs and appropriateness at a tertiary teaching hospital with 2,300 beds in China. A total of 1,110 patients were identified from the OB25 DRG data in 2018. Multivariate linear analysis indicated that the number of items prescribed and wards substantially influenced pharmacy expenditure. Drugs labelled as vital, essential, and non-essential revealed that 46.6% of total pharmacy costs were spent on non-essential drugs, whereas 38.7% were spent on vital drugs. The use of inappropriate pharmaceuticals and drug items was substantially reduced, and the average pharmacy cost after intervention was 336.7 RMB in 2020. The benefit–cost ratio of the programme was 9.86. Interventions based on DRG data are highly efficient and feasible for reducing inpatient pharmacy costs and non-essential drug use. [ABSTRACT FROM AUTHOR]

Background: Lung cancer remains one of the leading causes of cancer-related mortality worldwide, with a substantial proportion of patients suffering from concurrent pulmonary infections. Despite advances in treatment modalities, the early diagnosis of lung cancer complicated by pulmonary infection remains challenging, often resulting in delayed intervention and poorer prognosis., Objective: This study aimed to investigate the expression and significance of serum long non-coding RNA (lncRNA) NEAT1 and microRNA-31 in patients with advanced lung cancer complicated by pulmonary infection., Methods: A total of 48 patients diagnosed with lung cancer complicated by pulmonary infection and admitted to the hospital between January 2021 and December 2021 constituted the experimental group, while 48 healthy volunteers recruited during the same period served as the healthy control group. The expression levels of NEAT1 and microRNA-31 in plasma samples obtained from peripheral blood were measured using quantitative real-time polymerase chain reaction (qRT-PCR), and their differential expression in plasma was compared between the two groups., Results: Significantly elevated levels of serum lncRNA NEAT1 and microRNA-31 were observed in the experimental group compared to the healthy control group. Furthermore, the expression levels of NEAT1 and microRNA-31 showed correlations with patient age and tumor size. Notably, the expression of NEAT1 exhibited no significant association with smoking status, whereas microRNA-31 expression displayed a significant relationship with smoking., Conclusions: Our findings demonstrate that lncRNA NEAT1 and microRNA-31 are markedly upregulated in the plasma of patients with advanced lung cancer complicated by pulmonary infection. These molecules hold promise as potential diagnostic markers for advanced lung cancer complicated by pulmonary infection and may provide early auxiliary diagnostic value for lung cancer.

Colorectal cancer (CRC) is among the most prevalent malignant tumors, known for its high heterogeneity. Although many treatments and medications are available, the long-term survival rate of CRC patients is far from satisfactory. Pyroptosis is closely related to tumor progression. This study aimed to identify pyroptosis-related genes (PRGs) and candidate biomarkers to predict the prognosis of CRC patients. Used bioinformatics, we identified PRGs and subsequently screened 288 co-expression genes between pyroptosis-related modules and differentially expressed genes in CRC. Among these hub genes, we selected the top 24 for further analysis and found that Radical S-Adenosyl Methionine Domain Containing 2 (RSAD2) was a novel biomarker associated with the progression of CRC. We developed a risk model for RSAD2, which proved to be an independent prognostic indicator. The receiver operator characteristic analysis showed that the model had an acceptable prognostic value for patients with CRC. In addition, RSAD2 also affects the tumor immune microenvironment and prognosis of CRC. We further validated RSAD2 expression in CRC patients using RT-qPCR and the role of RSAD2 in pyroptosis. Taken together, this study comprehensively assessed the expression and prognostic value of RSAD2 in patients with CRC. These findings may offer a new direction for early CRC screening and development of future immunotherapy strategies., Competing Interests: None., (AJCR Copyright © 2024.)