Explore the vast range of titles available.

Effective transfection of genetic molecules such as DNA usually relies on vectors that can reversibly uptake and release these molecules, and protect them from digestion by nuclease. Non-viral vectors meeting these requirements are rare due to the lack of specific interactions with DNA. Here, we design a series of four isoreticular metal-organic frameworks (Ni-IRMOF-74-II to -V) with progressively tuned pore size from 2.2 to 4.2 nm to precisely include single-stranded DNA (ssDNA, 11–53 nt), and to achieve reversible interaction between MOFs and ssDNA. The entire nucleic acid chain is completely confined inside the pores providing excellent protection, and the geometric distribution of the confined ssDNA is visualized by X-ray diffraction. Two MOFs in this series exhibit excellent transfection efficiency in mammalian immune cells, 92% in the primary mouse immune cells (CD4+ T cell) and 30% in human immune cells (THP-1 cell), unrivaled by the commercialized agents (Lipo and Neofect). Non-viral vectors are important for transfection but can be limited in the uptake, protection and release of ssDNA. Here, the authors report on the design of metal-organic-framework vectors with precisely controlled pore geometry and demonstrate the vector in the transfection of immune cells.

Background The levels of serum D-dimer (D-D) in children with Mycoplasma pneumoniae pneumonia (MPP) were assessed to explore the clinical significance of D-D levels in refractory MPP (RMPP). Method A total of 430 patients with MPP were enrolled between January 2015 and December 2015 and divided into a general MPP (GMPP) group ( n  = 306) and a RMPP group ( n  = 124). Clinical data, D-D level, white blood cell (WBC) count, proportion of neutrophils (N%), C-reactive protein (CRP), erythrocyte sedimentation rate (ESR), alanine transaminase (ALT), aspartate aminotransferase (AST), and lactate dehydrogenase (LDH) were compared between the two groups. Multivariate logistic regression was performed to identify independent predictors of RMPP. Results (1) Hospitalization time, preadmission fever duration, total fever duration, WBC, N %, CRP, LDH, ESR, ALT, AST, and D-D were significantly higher in the RMPP group than those in the GMPP group (all P  < 0.05). (2) Correlation analysis showed that D-D was positively correlated with WBC, CRP, ESR, and LDH, and could be used to jointly evaluate the severity of the disease. (3) Multivariate logistic regression analysis identified preadmission fever duration, CRP, LDH and DD as independent risk factors for RMPP (all P  < 0. 05). D-D had the highest predictive power for RMPP ( P  < 0.01). The D-D level also had a good ability to predict pleural effusion and liver injury (all P  < 0.01). Conclusion Serum D-D levels were significantly increased in patients with RMPP, indicating that excessive inflammatory response and vascular endothelial injury with prolonged duration existed in this patient population. Increased levels of serum D-D may be used as an early predictor of RMPP and the occurrence of complications. Our findings provide a theoretical basis for the early diagnosis of RMPP, early intervention and excessive inflammatory response in the pathogenesis of mycoplasma.

Scholars argue that higher education and international student research suffer from a lack of theoretical engagement, which is epistemologically limiting. This is troubling as theory frames research design and findings and pluralizes our understanding of a phenomenon. Given the large number of Chinese international students worldwide (and related research), this article uses them as an analytic example to understand the role of theories in shaping qualitative research designs, focuses, and findings. I reviewed 43 qualitative research articles on Chinese international students’ experiences. Twenty-eight percent of the articles were found to lack theoretical engagement. When used, theories clustered around acculturation and sociocultural perspectives. Sixty percent of the articles foregrounded student challenges, as opposed to student agency or changes (40%). I discuss the consequences of a lack of theoretical engagement or diversity on how we understand and support international students.

To achieve carbon neutrality goals, offshore wind power combined with a hydrogen energy storage system (OWP-HESS) is critical for integrating intermittent renewables. This study applied a “cradle-to-grave” process-based life cycle assessment (PLCA) to evaluate a 77.4 MW offshore wind farm coupled with a 45.0 MW electrolysis cell system, covering manufacture, transportation, construction, operation and maintenance, and decommissioning phases. It focuses on two hydrogen production routes, alkaline electrolysis (AEL) and proton exchange membrane (PEM), and covers 12 environmental indicators. Moreover, considering optimal economic efficiency, to adapt to the characteristic of “electricity–hydrogen cogeneration”, as well as to facilitate reflecting the efficiency differences between the two electrolysis technologies, the functional unit is defined as “0.4 kWh green electricity + corresponding green hydrogen”. Results show that offshore wind’s environmental impacts mainly come from manufacture (79.00%, driven by concrete/steel), while hydrogen storage impacts focus on operation/maintenance (66.03% for AEL and 96.61% for PEM, driven by electricity). PEM’s green hydrogen global warming potential (GWP) (0.96 kg CO2-eq/kg) is much lower than AEL’s (1.81 kg CO2-eq/kg) and China’s fossil-based hydrogen (≈40 kg CO2-eq/kg). With an initial system lifespan of 25 years, a wind farm capacity factor of 41.30%, and a hydrogen production efficiency of 68.72% (AEL) and 69.89% (PEM), extending system lifespan by 5 years, raising wind farm capacity factor to 43%, and enhancing hydrogen production efficiency to 71% reduce emissions by 16.67%, 4.00%, and 2.16%, respectively. This study clarifies OWP-HESS’s environmental characteristics, confirms PEM’s low-carbon advantage, and provides support for its sustainable development.

Due to the complexity issue of the hand gesture recognition feature extraction, for example the variation of the light and background. In this paper, the convolution neural network is applied to the recognition of gestures, and the characteristics of convolution neural network are used to avoid the feature extraction process, reduce the number of parameters needs to be trained, and finally achieve the purpose of unsupervised learning. Error back propagation algorithm, is loaded into the convolution neural network algorithm, modify the threshold and weights of neural network to reduce the error of the model. In the classifier, the support vector machine that is added to optimize the classification function of the convolution neural network to improve the validity and robustness of the whole model.

As transfers of educational ideas across countries accelerate in the twenty-first century with globalization, studies on educational change have lagged in foregrounding the importance of cross-national contexts when ideas traverse borders. This qualitative study investigates 30 Singapore teachers’ perceptions of challenges involved in implementing differentiated instruction from the U.S., to sketch the contours around the intersection of educational transfer and change. Through analyzing classroom discussions and assignments of teachers enrolled in a Masters-level differentiated instruction course, we found that teachers’ perceptions of implementation challenges clustered around technological, sociocultural, and political concerns. Challenges associated with differing technological conditions (e.g., class size/space and teacher capacity) and sociocultural norms (e.g., emphasis on control, results, and teacher-centered teaching) bring to fore how perceptions of origin and destination contexts shape reception of educational ideas, like differentiated instruction. Postmodern ambiguities around norms, objectivity, and evidence in a globally porous world further complicate teachers’ concerns. In concluding, we propose a comparative educational change framework through which educational change and transfer can be viewed and argue for the need to scrutinize the influence of cross-national contexts when studying educational change across borders.

Mycoplasma pneumoniae (MP) is a major pathogen of community-acquired pneumonia in children. However, the specific pathogenesis of the progression of Mycoplasma pneumoniae pneumonia (MPP) is unclear. We aimed to reveal the landscape of microbiota and the host immune response in MPP. This self-controlled study analyzed the microbiome and transcriptome of bronchoalveolar lavage fluid (BALF) from the severe side (SD) and opposite side (OD) of 41 children with MPP from January to December 2021 and revealed the differences of the peripheral blood neutrophil function among children with mild MPP, severe MPP, and healthy children through transcriptome sequencing. The MP load or the pulmonary microbiota had no significant difference between the SD group and OD group, and the deterioration of MPP was related to the immune response, especially the intrinsic immune response. The immune response plays a role in MPP, which may inform treatment strategies for MPP.

Given how China has been the top source of international students worldwide, there has been growing media and research interest in Chinese international students. However, much of the narratives tend to focus on their struggles. In this commentary, I draw upon insights from my personal experience as an international student and, consequently, research on Chinese international students to illuminate alternative ways of understanding Chinese internationals and the reasons for why these perspectives around international students are necessary.

Human hematopoietic prostaglandin D2 synthase (HPGDS) is involved in the production of prostaglandin D2, which participates in various physiological processes, including inflammation, allergic reactions, and sleep regulation. Inhibitors of HPGDS have been investigated as potential anti-inflammatory agents. For the investigation of potent HPGDS inhibitors, we carried out a computational modeling study combining molecular docking and molecular dynamics simulation for selecting and virtual confirming the designed binders. We selected the structure of HPGDS (PDB ID: 2CVD) carrying its native inhibitor compound HQL as our research target. The random 5-mer peptide library was created by building the 3-D structure of random peptides using Rosetta Buildpeptide and performing conformational optimization. Molecular docking was carried out by accommodating the peptides into the location of their native binder and then conducting docking using FlexPepDock. The two peptides RMYYY and VMYMI, which display the lowest binding energy against HPGDS, were selected to perform a comparative study. The interaction of RMYYY and VMYMI against HPGDS was further confirmed using molecular dynamics simulation and aligned with its native binder, HQL. We show the selected binders to have stronger binding energy and more frequent interactions against HPGDS than HQL. In addition, we analyzed the solubility, hydrophobicity, charge, and bioactivity of the generated peptides, and we show that the selected strong binder may be further used as therapeutic drugs.

NADPH oxidase 4 (NOX4) is a key regulator of intracellular reactive oxygen species (ROS) and plays a critical role in tumorigenesis and cancer progression. It contributes to cancer cell transformation, proliferation, migration, invasion, and epithelial-mesenchymal transition (EMT). To elucidate the molecular mechanisms underlying NOX4-mediated tumorigenesis, we performed a comprehensive pan-cancer bioinformatics analysis, integrating data from The Cancer Genome Atlas (TCGA), and validated our findings with in vitro experiments. We systematically analyzed NOX4 expression patterns across various cancer types and explored the correlations between NOX4 expression and patient survival, immune infiltration, tumor mutational burden (TMB), and microsatellite instability (MSI). In vitro assays, including Wound healing, Transwell, and CCK-8 assays, were conducted to validate the biological functions of NOX4 in breast cancer cells. Pan-cancer analysis revealed that NOX4 is significantly upregulated in various cancers, including breast cancer. Elevated NOX4 expression is associated with poor patient prognosis, immune cell infiltration, TMB, and MSI. Functional experiments confirmed that downregulation of NOX4 can inhibit the proliferation and metastasis of breast cancer cells. Our pan-cancer analysis provides valuable insights into the role of NOX4 in tumorigenesis. These results highlight NOX4 as a promising biomarker for prognosis and a potential therapeutic target for anti-tumor treatments across multiple cancer types.