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The purpose of this study is to investigate how genres vary and figure out the factors that generate genre variation. The quantitative multi-dimensional analysis is used to examine genre variation of cross-border e-commerce English in South Asia. The texts in the observed corpus collected from four country websites of Daraz, a significant cross-border e-commerce platform, were tagged and analyzed using Multidimensional Analysis Tagger and SPSS statistical software. The results of linear regression analysis, independent sample t-test and Analysis of Variance show salient differences between the observed corpus and reference corpus. The research also indicates that four sub-corpora from country Websites are brought into line with each other. They show salient differences (p<0.05) with the general corpus in two dimensions of linguistic variation. The findings indicate that variables that lead to the cross-border e-commerce English genre variation might be attributable to cultural backgrounds, regional market sizes, and fundamental internet facilities. In conclusion, these findings lend significant empirical support to systemic functional theories and suggest further research in the application of a multi-dimensional analysis approach in the cross-border e-commerce English genre.

Quantum key distribution provides a provably secure way for private key distribution, which enables the practical implementation of information retrieval that preserves both the user privacy and database security.

Electromagnetic induction is the basis of most electrical and power equipment. In order to improve the overall performance of electromagnetic induction devices, it is necessary to analyze the distribution of electric and magnetic fields around and inside the devices, and guide the structural adjustment and material selection of devices. However, due to the integral and differential operations involved, complex electrical and magnetic field problems are often unable to be analyzed by analytical methods. With the improvement of numerical analysis theory and computer performance, the use of finite element analysis is expected to solve the complex electromagnetic field problems in practical applications. Using finite element analysis, the electromagnetic field distribution characteristics and influencing factors of electromagnetic induction devices of household induction cooker are studied, the corresponding mathematical model is established, the influence of electromagnetic parameters of each part of the induction heating system on heating energy efficiency is studied, and the optimization design is carried out according to different application requirements, so as to provide a basis for further improving the performance of devices.

With the continuous advancement of information technology and the rapid development of mobile communication technology, from smart home to automatic driving of cars, and then to the application and development of virtual reality, communication technology has evolved from the earliest communication between people to communication between things. The frequency band supported by smart phones and various small mobile terminals is increasing, and their communication frequency is also gradually increasing, which brings some challenges to the traditional RF front-end devices. The traditional RF filter can not meet the current market demand because of its own performance and size constraints. As the best option to integrate with RF circuit or microwave circuit, bulk acoustic wave filter has great development and application prospects in modern RF communication system. This paper will focus on the solid-state assembled resonators based on one-dimensional and two-dimensional phononic crystals, analyze the influence and change law of the performance of bulk acoustic wave devices based on two-dimensional phononic crystals, then explore the main loss mechanism existing in solid-state assembled devices, and propose improvement schemes, which lays a foundation for the application of solid-state assembled resonators in today’s RF front-end.

Epistemic stance is adopted as an approach to convey the speakers’ certainty about knowledge and beliefs. This research aims to make a comprehensive comparison between professional live streamers and Chinese college students in terms of epistemic stance expression in their live streaming. Focusing on three distinct product categories—fashion, food, and home and electronics—the research collected texts from Amazon live streamers’ online broadcasts and Chinese college students’ in-class live streaming training. The investigation employed epistemic stance features derived from Hyland’s model, utilizing 76 stance features categorized as boosters or hedges for analysis. The results revealed that both professional live streamers and college students used boosters significantly more than hedges when expressing epistemic certainty, along with a distinct co-occurrence pattern of self-referential expressions (e.g., I, we) combined with boosters. However, there were statistically significant differences between the two groups in the use of epistemic stance expressions. Professional streamers demonstrated higher frequencies of epistemic devices overall, which was observed in three parts of speech (adverbs, modals, and verbs) and across three product categories. These findings have theoretical significance for advancing study of stance expression and pedagogical implications for business English applied in live streaming training context. Plain Language Summary Expressing Certainty in Live Streaming: How Professional Streamers and College Students Differ in Their Expressions This study compares how professional live streamers and Chinese college students express certainty (epistemic stance) in live streams. It looked at three product categories: fashion, food, and home & electronics. Data came from Amazon streamers’ broadcasts and students’ in-class live stream training. Using Hyland’s model, researchers analyzed 76 features of certainty expression, split into “boosters” (which strengthen certainty) and “hedges” (which weaken it). Both groups used boosters much more than hedges. They also often combined self-referential phrases with boosters. But there were big differences: professionals used more certainty-related language overall. This was true for adverbs, modals, and verbs, and across all three product categories. The findings help advance research on how people express certainty and offer tips for teaching business English in live stream training.

Particulate matter (PM) pollutants, including nanoscale particles (NPs), have been considered serious threats to public health. In this work, a self-powered air filter that can be used in high-efficiency removal of PM, including NPs, is presented. An ionic liquid–polymer (ILP) composite is irregularly distributed onto a sponge network to form an ILP@MF filter. Enabled by its unique electrochemical properties, the ILP@MF filter can remove PM 2.5 and PM 10 with high efficiencies of 99.59% and 99.75%, respectively, after applying a low voltage. More importantly, the charged ILP@MF filter realizes a superior removal for NPs with an efficiency of 93.77%. A micro-button lithium cell or silicon-based solar panel is employed as a power supply platform to fabricate a portable and self-powered face mask, which exhibits excellent efficacy in particulate removal compared to commercial masks. This work shows a great promise for high-performance purification devices and facile mask production to remove particulate pollutants. Particulate matter (PM) pollutants have been considered serious threats to public health but effective removal of nanoscale particles (NPs) by filter materials is challenging. Here, the authors fabricate an ionic liquid based self-powered air filter that can be used in high-efficiency removal of PM, including NPs.

The survival prognosis nomogram is needed for sinonasal malignancies with different histology types. Thus this research collected cases with sinonasal malignancies from The Surveillance, Epidemiology, and End Results (SEER) program. R was the tools for screening the predictors by Accelerated Failure Time model and “backward” elimination. Nomogram was constructed with predictors. C-index, calibration curves and decision curve analysis were applied for the validation of the nomogram. 5795 cases were collected for constructing nomogram. “Age”, “Sex”, “Marriage”, “Site”, “AJCC”, “Surg”, “Radiation”, and “Hist” were retained as predictors. The C-index was 0.77 (95% CI: 0.76–0.79, validation set). Calibration curves were close to the diagonal line. Decision curve analysis showed nonmogram provided positive net benefits relative to the default “treat-all” and “treat-none” approaches. We also conducted survival analysis for seven histology types with treatment (squamous cell carcinoma, adenocarcinoma, adenoid cystic carcinoma, undifferentiated carcinoma, primary mucosal melanoma, neuroendocrine carcinoma, olfactory neuroblastoma ). In conclusion, we constructed a nomogram to predict the survival prognosis of patients with sinonasal malignancies. It can be utilized by clinicians to predict individual survival outcomes and for patient consultation. Besides, we provided survival status for seven histology types of sinonasal malignancies with common and controversial treatment.

In this paper, we employ two model-independent approaches, including redshift binning method and polynomial interpolation method, to reconstruct dark energy (DE) equation of state (EoS) w ( z ) and DE density function f ( z ). Our analysis incorporates data from the Dark Energy Spectroscopic Instrument (DESI) Data Release 2 (DR2), Cosmic Microwave Background (CMB) distance priors from Planck 2018 and Atacama Cosmology Telescope (ACT) DR6, and three type Ia supernovae (SN) compilations (PantheonPlus, Union3, and DESY5). To ensure model independence, we adopt three redshift binning schemes (n = 3, 4, 5) and three polynomial interpolation schemes with the same number of nodes (n = 3, 4, 5). Our main conclusions are as follows: (1) After incorporating DESI data, there is a trend that DE should evolve with redshift (with deviations from EoS w = - 1 reaching at least a 2.13 σ confidence level), indicating that current observations favor a dynamical DE. (2) In the redshift range 0.5 < z < 1.5 , the DE EoS w ( z ) exhibits a decreasing trend and crosses the phantom divide w = - 1 , suggesting quintom-like behavior. (3) The DE density f ( z ) first increases at low redshift, reaching a hump around z ≈ 0.5 , and then decreases at 0.5 < z < 1.5 , with a rapid decrease at z > 1.0 . (4) For z > 1.5 , current data are insufficient to place strong constraints on the evolution of DE, resulting in large uncertainties in the DE reconstruction. It must be emphasized that these four main conclusions are independent of specific reconstruction models and are insensitive to the choice of SN compilations.

Osteoarthritis is a worldwide prevalent disease that imposes a significant socioeconomic burden on individuals and healthcare systems. Achieving cartilage regeneration in patients with osteoarthritis remains challenging clinically. In this work, we construct a multiple hydrogen-bond crosslinked hydrogel loaded with tannic acid and Kartogenin by polyaddition reaction as a cell-free scaffold for in vivo cartilage regeneration, which features ultra-durable mechanical properties and stage-dependent drug release behavior. We demonstrate that the hydrogel can withstand 28000 loading-unloading mechanical cycles and exhibits fast shape memory at body temperature (30 s) with the potential for minimally invasive surgery. We find that the hydrogel can also alleviate the inflammatory reaction and regulate oxidative stress in situ to establish a microenvironment conducive to healing. We show that the sequential release of tannic acid and Kartogenin can promote the migration of bone marrow mesenchymal stem cells into the hydrogel scaffold, followed by the induction of chondrocyte differentiation, thus leading to full-thickness cartilage regeneration in vivo. This work may provide a promising solution to address the problem of cartilage regeneration. Achieving successful in vivo cartilage regeneration remains challenging. Here they present a cell-free, multiple hydrogen-bond crosslinked hydrogel loaded with tannic acid and Kartogenin with ultra-durable mechanical properties and stage-dependent drug release behavior to promote cartilage regeneration.

Multiple myeloma (MM) is a neoplastic plasma-cell disorder characterized by clonal proliferation of malignant plasma cells. Despite extensive research, disease heterogeneity within and between treatment-resistant patients is poorly characterized. In the present study, we conduct a prospective, multicenter, single-arm clinical trial (NCT04065789), combined with longitudinal single-cell RNA-sequencing (scRNA-seq) to study the molecular dynamics of MM resistance mechanisms. Newly diagnosed MM patients (41), who either failed to respond or experienced early relapse after a bortezomib-containing induction regimen, were enrolled to evaluate the safety and efficacy of a daratumumab, carfilzomib, lenalidomide and dexamethasone combination. The primary clinical endpoint was safety and tolerability. Secondary endpoints included overall response rate, progression-free survival and overall survival. Treatment was safe and well tolerated; deep and durable responses were achieved. In prespecified exploratory analyses, comparison of 41 primary refractory and early relapsed patients, with 11 healthy subjects and 15 newly diagnosed MM patients, revealed new MM molecular pathways of resistance, including hypoxia tolerance, protein folding and mitochondria respiration, which generalized to larger clinical cohorts (CoMMpass). We found peptidylprolyl isomerase A (PPIA), a central enzyme in the protein-folding response pathway, as a potential new target for resistant MM. CRISPR–Cas9 deletion of PPIA or inhibition of PPIA with a small molecule inhibitor (ciclosporin) significantly sensitizes MM tumor cells to proteasome inhibitors. Together, our study defines a roadmap for integrating scRNA-seq in clinical trials, identifies a signature of highly resistant MM patients and discovers PPIA as a potent therapeutic target for these tumors. Integration of longitudinal single-cell analysis of relapsed and refractory multiple myeloma patients in a prospective clinical trial uncovers new pathways of drug resistance and identifies potential actionable targets.