Search

In recent years, environmental and food safety have garnered substantial focus due to their intimate connection with human health. Numerous biosensors have been developed for identifying deleterious compounds; however, these biosensors reveal certain limitations. Nanopore sensors, featuring nano-scaled pore size, have demonstrated outstanding performance in terms of rapidity, sensitivity, and selectivity as a single-molecule technique for environmental and food surveillance. In this review, we present a comprehensive overview of nanopore applications in these two fields. To elucidate the pioneering roles of nanopores, analytes are categorized into three distinct groups, including metal ions, synthetic contaminants, and biotoxins. Moreover, a variety of strategies are involved, such as the coalescence with ligand probes, the implementation of chemical reactions, the functionalization of nanopores, etc. These scientific studies showcase the versatility and diversity of the nanopore technique, paving the way for further developments of nanopore technology in environmental and food safety. [ABSTRACT FROM AUTHOR]

Highly sensitive terahertz frequency upconversion detection was demonstrated with a RbTiOPO4 crystal. The detectable THz frequency ranges were 3.6-4.0, and 5.4-5.7 THz. The minimum detectable terahertz energy at 5.6 THz was about 0.2 fJ.

Background Survival assessment, psychological counseling and other services included in the comprehensive hospice care program conform to the hospice care philosophy, and may be independently delivered to patients to satisfy their needs in a pioneering approach by some health institutions, but the expenses of them could not be reimbursed by health insurance due to lack of an official basis for charging, which may be a bottleneck restricting the development of hospice care. Objective To systematically assess the hospice care services whose expenses are ineligible for reimbursement by health insurance independently provided by community health centers (CHCs) in a pioneering approach, offering a basis for improving the services and price system of hospice care. Methods From July to October 2020, by use of typical sampling, one or two CHCs with relatively heavy workload of hospice care were selected from each district of Shanghai, then from which 30 were selected to attend a survey for understanding the implementation status of hospice care using a self-developed questionnaire named Pilot Hospice Care Services Pioneered by Shanghai Community Health Centers, involving inpatient and home hospice care (35 services belonging to five types) . Individuals in charge of hospice care delivery completed the questionnaire according to the status of hospice care implemented in their CHCs in the past year. Results The survey obtained a response rate of 96.7% (29/30) . Among the respondent 29 CHCs, 28 (96.6%) delivered inpatient palliative care services, and the median number of services available was 27 (15) ; 25 (86.2%) provided home hospice care services, with 25 (15) as the median number of services available. There was no significant difference in the number of services belonging to five types delivered for inpatients and at home (P>0.05) . There were also no significant differences in the number of inpatient and home hospice care services delivered by CHCs in central urban, suburban, and exurban districts (P>0.05) . Among the hospice care services delivered for inpatients, the average proportions of five types of services, namely assessment services, comfort care, appropriate technology of hospice care, psychological support and humanistic care were 85.7%, 78.6%, 48.6%, 88.4% and 67.5%, respectively. Among the hospice care services delivered at home, the average proportions of above-mentioned five types of services were 86.3%, 60.0%, 42.0%, 84.0% and 62.0%, respectively. Conclusion Hospice care services have been widely implemented in Shanghai's CHCs with good availability and insignificant inter-district differences. To incentivize the CHCs and medical workers to provide hospice care, there is an urgent need to further standardize the hospice care services, develop relevant quality criteria, improve the price system, and reform the payment method.

Driven by new two-dimensional materials, great changes and progress have taken place in the field of ultrafast photonics in recent years. Among them, the emerging single element two-dimensional materials (Xenes) have also received much attention due to their special physical and photoelectric properties including tunable broadband nonlinear saturable absorption, ultrafast carrier recovery rate, and ultrashort recovery time. In this review, the preparation methods of Xenes and various integration strategies are detailedly introduced at first. Then, we summarize the outcomes achieved by Xenes-based (beyond graphene) fiber lasers and make classifications based on the characteristics of output pulses according to the materials characterization and nonlinear optical absorption properties. Finally, an outlook of the future opportunities and challenges of ultrafast photonics devices based on Xenes and other 2D materials are highlighted, and we hope this review will promote their extensive applications in ultrafast photonics technology.

Writing is a critical component of many secondary classrooms, but little is known about teachers' beliefs and assumptions surrounding their teaching of writing at the secondary level (particularly including the beliefs of special educators) and teaching writing to students with disabilities. Yet, teachers' beliefs impact their own perceptions and judgments, which can then affect their behavior (i.e., instructional decisions) within their classrooms. The purpose of this study was to describe middle and high school general and special educators' beliefs about writing. Results of this study demonstrated that secondary teachers (a) felt somewhat self-efficacious about teaching writing and somewhat less self-efficacious about effecting change in students' writing, (b) moderately emphasized explicitly teaching writing, (c) were less likely to make adaptations for struggling writers across several writing practices, and (d) placed less emphasis on teaching basic transcription skills. Although limitations related to sample size preclude further disaggregated analyses, this study offers an early examination of teachers' writing beliefs across several content domains. Changing writing practices in secondary classrooms will necessitate instructional methods that are individualized to meet students' needs as well as a personal examination of one's own beliefs to ensure that what one believes is not inhibiting the delivery of effective instructional writing practices.

Background: Breast cancer (BRCA) represents a substantial global health challenge marked by inadequate early detection rates. The complex interplay between the tumor immune microenvironment and fatty acid metabolism in BRCA requires further investigation to elucidate the specific role of lipid metabolism in this disease. Methods: We systematically integrated nine machine learning algorithms into 184 unique combinations to develop a consensus model for lipid metabolism-related prognostic genes (LMPGS). Additionally, transcriptomics analysis provided a comprehensive understanding of this prognostic signature. Using the ESTIMATE method, we evaluated immune infiltration among different risk subgroups and assessed their responsiveness to immunotherapy. Tailored treatments were screened for specific risk subgroups. Finally, we verified the expression of key genes through in vitro experiments. Results: We identified 259 differentially expressed genes (DEGs) related to lipid metabolism through analysis of the cancer genome atlas program (TCGA) database. Subsequently, via univariate Cox regression analysis and C-index analysis, we developed an optimal machine learning algorithm to construct a 21-gene LMPGS model. We used optimal cutoff values to divide the lipid metabolism prognostic gene scores into two groups according to high and low scores. Our study revealed distinct biological functions and mutation landscapes between high-scoring and low-scoring patients. The low-scoring group presented a greater immune score, whereas the high-scoring group presented enhanced responses to both immunotherapy and chemotherapy drugs. Single-cell analysis highlighted significant upregulation of CPNE3 in epithelial cells. Moreover, by employing molecular docking, we identified niclosamide as a potential targeted therapeutic drug. Finally, our experiments demonstrated high expression of MTMR9 and CPNE3 in BRCA and their significant correlation with prognosis. Conclusion: By employing bioinformatics and diverse machine learning algorithms, we successfully identified genes associated with lipid metabolism in BRCA and uncovered potential therapeutic agents, thereby offering novel insights into the mechanisms and treatment strategies for BRCA. [ABSTRACT FROM AUTHOR]

In biological micromanipulation, cell penetration is a typical procedure that precedes cell injection or oocyte enucleation. During this procedure, cells usually undergo significant deformation, which leads to cell damage. In this paper, we focus on modeling and evaluating the cell penetration process to reduce cell deformation and stress, thereby reducing cell damage. Initially, a finite element model (FEM) is established to simulate the cell penetration process. The effectiveness of the model is then verified through visual detection and comparison of cell deformation with experimental data. Next, various mechanical responses are analyzed, considering the influence of parameters, such as the radius and shape of the injection micropipettes, material properties, and size of the cells. Finally, the relationship between the intracellular stress and the cell penetration depth of biological cells is obtained. The evaluation results will be applied to develop optimized operation plans, enhancing the efficiency and safety of the cell penetration process. [ABSTRACT FROM AUTHOR]

Tractors are the most important agricultural power machinery. With the development of tractors toward large-scale and electrification, the design of modern tractor transmission systems increasingly relies on computer simulation technology. However, tractor transmission systems, especially power-shift transmissions and CVTs, are highly complex industrial products that involve specialized knowledge from multiple disciplines. Engineers and researchers find it difficult to choose the correct mathematical model and grasp the trend of technological development when applying simulation technology. To address this issue, we conducted a systematic review of the field and carried out the following work: First, the types and basic principles of tractor transmission systems were introduced; Second, the modeling methods and applications of computer simulation technology in the structural optimization, power-shift control, and energy saving of tractor transmission systems were reviewed; Finally, the method of obtaining simulation parameters through system identification was introduced. Although computer simulation technology has been applied in the development of all tractor transmission systems, there are still some issues that need attention, such as the lack of established shift quality evaluation indicators and driving cycles suitable for tractors, which are crucial for the reliability of simulation results but are rarely studied. These issues need to be addressed in future work. [ABSTRACT FROM AUTHOR]

The human cytomegalovirus (HCMV) glycoprotein B (gB) is the viral fusogen required for entry into cells and for direct cell-to-cell spread of the virus. We have previously demonstrated that the exchange of the carboxy-terminal domain (CTD) of gB for the CTD of the structurally related fusion protein G of the vesicular stomatitis virus (VSV-G) resulted in an intrinsically fusion-active gB variant (gB/VSV-G). In this present study, we employed a dual split protein (DSP)-based cell fusion assay to further characterize the determinants of fusion activity in the CTD of gB. We generated a comprehensive library of gB CTD truncation mutants and identified two mutants, gB-787 and gB-807, which were fusion-competent and induced the formation of multinucleated cell syncytia in the absence of other HCMV proteins. Structural modeling coupled with site-directed mutagenesis revealed that gB fusion activity is primarily mediated by the CTD helix 2, and secondarily by the recruitment of cellular SH2/WW-domain-containing proteins. The fusion activity of gB-807 was inhibited by gB-specific monoclonal antibodies (MAbs) targeting the antigenic domains AD-1 to AD-5 within the ectodomain and not restricted to MAbs directed against AD-4 and AD-5 as observed for gB/VSV-G. This finding suggested a differential regulation of the fusion-active conformational state of both gB variants. Collectively, our findings underscore a pivotal role of the CTD in regulating the fusogenicity of HCMV gB, with important implications for understanding the conformations of gB that facilitate membrane fusion, including antigenic structures that could be targeted by antibodies to block this essential step in HCMV infection. [ABSTRACT FROM AUTHOR]

Doctor moral hazard behavior is a topical and sensitive issue in medicine. Recognition of the factors that influence doctor moral hazard behavior is fundamental to controlling or preventing it. Researchers have identified the factors that influence doctor moral hazard behavior based on models of fraud risk. In this present study, these factors were categorized into five dimensions: motivation, opportunity, rationalization, exposure, and punishment. A literature review and in-depth interviews with experts led to the development of a scale of the factors that affect doctor moral hazard. The scale has good reliability and validity. Data were obtained by interviewing medical staff. By using IBM SPSS 20.0 and AMOS 20.0, nine factors with strong explanatory power were extracted: economic pressure, pressure to undertake scientific research, decision-making autonomy, patient participation, treatment uncertainty, systemic deficiencies, probability of exposure, threat of hospital punishment, and threat of social punishment. The development of the scale and the extraction of the key influencing factors clarified the scope and the nature of factors that influence doctor moral hazard behavior. The analysis also provides a basis for governments and hospitals to govern doctor moral hazard behavior.