Impacts of sea-land and mountain-valley circulations on the air pollution in Beijing-Tianjin-Hebei (BTH): A case study

In the study, observational data analyses and the WRF-CHEM model simulations are used to investigate the role of sea-land and mountain-valley breeze circulations in a severe air pollution event occurred in Beijing-Tianjin-Hebei (BTH) during August 9-10, 2013. Both the wind observations and the model simulations have clearly indicated the evolution of the sea-land and mountain-valley breeze circulations during the event. The WRF-CHEM model generally reproduces the local meteorological circulations and also performs well in simulating temporal variations and spatial distributions of fine particulate matters (PM2.5) and ozone (O-3) concentrations compared to observations in BTH. The model results have shown that the offshore land breeze transports the pollutants formed in Shandong province to the Bohai Gulf in the morning, causing the formation of high O-3 and PM2.5 concentrations over the gulf. The onshore sea breeze not only causes the formation of a convergence zone to induce upward movement, mitigating the surface pollution to some degree, also recirculates the pollutants over the gulf to deteriorate the air quality in the coastal area. The upward valley breeze brings the pollutants in the urban area of Beijing to the mountain area in the afternoon, and the downward mountain breeze transports the pollutants back during nighttime. The intensity of the mountain-valley breeze circulation is weak compared to the land-sea breeze circulation in BTH. It is worth noting that the local circulations play an important role when the large-scale meteorological conditions are relatively weak. (C) 2017 Elsevier Ltd. All rights reserved

Finite Element Model of Shape Memory Alloy Incorporating Drucker-Prager Model

The unique features of shape memory alloys (SMA), including pseudoelasticity and shape memory effect, give SMAs a wide application in aeronautical, biomedical, and structural engineering. These features stimulate the interest in the development of constitutive models.  In this paper, a 3D finite element model of shape memory alloy material model has been developed to incorporate the Drucker – Prager model in order to describe the asymmetry of SMA under tension and compression. This paper also takes into account the variation of Young’s modulus of the austenite and the martensite.  The development and implementation of a robust integration algorithm is presented. The provided numerical simulation demonstrates its capabilities. Further studies should be performed to seek quantitative fitting with experimental results. DOI: http://dx.doi.org/10.11591/telkomnika.v11i7.284

Metagenomic insights into the abundance and composition of resistance genes in aquatic environments:Influence of stratification and geography

A global survey was performed with 122 aquatic metagenomic DNA datasets (92 lake water and 30 seawater) obtained from the Sequence Read Archive (SRA). Antibiotic resistance genes (ARGs) and metal resistance genes (MRGs) were derived from the dataset sequences via bioinformatic analysis. The relative abundances of ARGs and MRGs in lake samples were in the ranges ND (not detected)-1.34x10(0) and 1.22x10(-3) -1.98x10(-1) copies per 16S rRNA, which were higher than those in seawater samples. Among ARGs, multidrug resistance genes and bacitracin resistance genes had high relative abundances in both lake and sea water samples. Multimetal resistance genes, mercury resistance genes and copper resistance genes had the greatest relative abundance for MRGs. No significant difference was found between epilimnion and hypolimnion in abundance or the Shannon diversity index for ARGs and MRGs. Principal coordinates analysis and permutational multivariate analysis of variance (PERMANOVA) test showed that stratification and geography had significant influence on the composition of ARGs and MRGs in lakes (p < 0.05, PERMANOVA). Coastal seawater samples had significantly greater relative abundance and a higher Shannon index for both ARGs and MRGs than deep ocean and Antarctic seawater samples (p < 0.05, Kruskal-Wallis one-way ANOVA), suggesting that human activity may exert more selective pressure on ARGs and MRGs in coastal areas than those in deep ocean and Antarctic seawater

On Arthur Waley’s Creatively Treasonous Translation of Xiyouji: From the Perspective Utilitarian Discourse System

Literature translation has long been considered as utilitarian. This article, from the perspective of utilitarian discourse system, more specifically, characteristics of forms of discourse of UDS, probes into Arthur Waley’s translation of Monkey. Taking the historical background of the translation and the translator’s thoughts as realistic foundation, this article aims to find out how Waley realized “consciously creative treason” successfully in his translation, which leads to the popularity of Monkey in the Western world.Key words: Utilitarian discourse system; Creative treason; Monkey ; Authur Waley

Comprehensive analysis of the papillary thyroid carcinoma identifies CSGALNACT1 as a proliferation driver and prognostic biomarker

Papillary thyroid carcinoma (PTC) is the most prevalent form of thyroid cancer, yet its cellular heterogeneity and prognostic determinants remain poorly defined. Here, we integrate two single-cell RNA sequencing datasets comprising 20 human thyroid samples to construct a high-resolution cellular atlas of PTC. We identify 29 distinct cellular subpopulations and delineate their composition, dynamics, and interactions in healthy versus tumor tissues. Notably, epithelial and monocyte populations were markedly expanded in PTC, whereas adaptive immune subsets such as B and T cells were diminished. Cell–cell communication analysis revealed enhanced intercellular signaling in the tumor microenvironment, with epithelial and endothelial cells receiving the strongest inputs. Among monocyte-specific transcriptional signatures, we identified 65 prognostic genes via univariate Cox analysis. A LASSO-derived 14-gene risk score robustly stratified patient outcomes, with CSGALNACT1 emerging as a key epithelial-specific, independent prognostic gene. Pseudotime analysis further supported its role in epithelial cell differentiation. Functional validation demonstrated that CSGALNACT1 promotes proliferation in PTC cell lines, suggesting a potential oncogenic function. Immune deconvolution across risk groups revealed substantial divergence in innate and adaptive immune infiltration, indicating a close interplay between tumor-intrinsic transcriptional programs and immune microenvironment remodeling. Collectively, our study provides a comprehensive single-cell framework for PTC, identifies a clinically relevant risk model, and highlights CSGALNACT1 as a potential therapeutic target

Malignant atrophic papulosis treated with eculizumab and hirudin: a fatal case report and literature review

BackgroundMalignant atrophic papulosis (MAP) is a rare obliterative vasculopathy whose etiology and pathophysiological mechanisms remain unknown, and the treatment is still empirical. It can involve multiple systems, especially the gastrointestinal tract and central nervous system, and has a poor prognosis.Case presentationA 20-year-old Chinese male appeared to have Widespread atrophic papules and plaques, intermittent abdominal pain, recurrent bowel perforation, and psoas abscess. The clinical diagnosis of MAP was supported by skin biopsy. He was then treated with anticoagulants, antiplatelets, glucocorticoids, and immunosuppressants and started on eculizumab and hirudin after the first surgical interventions. Despite the aggressive immunosuppression, anticoagulant, antiplatelet, humanized monoclonal antibodies, and surgery therapy, he died five months after presentation.ConclusionsMAP is an extremely rare obliterative vasculopathy manifesting as benign cutaneous involvement or potentially malignant systemic involvement. MAP patients who exhibit any abdominal symptoms should undergo laparoscopy and evaluation in time and start on eculizumab and treprostinil as soon as possible, as the combination of them is presently the most effective treatment option for gastrointestinal MAP and hopefully reduce mortality

Resource allocation strategies for improved mayfly algorithm in cognitive heterogeneous cellular network

Aiming at the optimization of uplink resource allocation in cognitive heterogeneous cellular networks, a resource allocation algorithm based on improved discrete mayfly algorithm was proposed.In the cognitive heterogeneous cellular network model, the power control strategy was introduced to control the interference suppression of transmitted power, and the improved discrete mayfly algorithm was used to optimize and solve the optimal distribution scheme based on the user’s quality of service (QoS) requirements and interference threshold constraints to maximize the energy efficiency (EE).In order to improve the convergence rate and search ability of the mayfly algorithm, the dynamic adaptive weights of incomplete Gamma and Beta distribution functions and the golden sine position updating strategy were introduced.The simulation results show that the closed-loop power control based on SINR can dynamically adjust the transmitting power of users and effectively restrain the interference between users.The GSWBMA has good optimization efficiency and convergence performance to solve the resource allocation problem, effectively improve the energy efficiency of the system and the transmission rate of users, and ensure the QoS requirements of users

Food safety analysis and management of Shiga toxin-producing Escherichia coli in edible agricultural products and kitchen

The sources and transmission routes of Shiga toxin-producing Escherichia coli (STEC) in edible agricultural products are analyzed. And the relationship between STEC contamination and food safety in home kitchen is discussed. The current supervision of STEC in edible agricultural products around the world is introduced. The solution and suggestion for the control of STEC in the home kitchen of China are proposed

Comprehensive analysis of disulfidptosis-related genes and the immune microenvironment in heart failure

BackgroundHeart failure (HF) is a prevalent cardiovascular disease that currently lacks effective treatment options due to its intricate pathogenesis. A recent study has linked disulfidoptosis, a novel form of cell demise, with the development of a range of diseases. Nonetheless, the effect of disulfidoptosis on the immune microenvironment of HF is not well comprehended. In this paper, bioinformatics analysis was performed to investigate how disulfidptosis-related genes (DRGs) affect the immune microenvironment of HF.MethodsThe expression of four DRGs was initially examined using bulk RNA-Seq and single-cell RNA sequencing data. A predictive model was subsequently developed. Consensus clustering was used to distinguish between the two clusters of DRGs. The effect of these DRGs on the characteristics of the immune microenvironment was further explored, such as infiltrating immune cells, immune response gene sets, and HLAs genes.ResultsAll four DRGs were dysregulated in HF samples. The predictive model based on these four DRGs effectively differentiated between HF patients and healthy individuals, which was validated in the experiment. These four DRGs were strongly associated with the abundance of infiltrating monocytes. Moreover, our analysis identified two distinct clusters of DRGs and these clusters exhibited differences in terms of immune cell abundance, immune response, and HLA gene expression. The biological functions associated with these differences were also revealed.ConclusionOur discovery underscores the pivotal role of DRGs in shaping the diversity and intricacy of the immune microenvironment in HF