Integrated genomic characterization of oesophageal carcinoma

Oesophageal cancers are prominent worldwide; however, there are few targeted therapies and survival rates for these cancers remain dismal. Here we performed a comprehensive molecular analysis of 164 carcinomas of the oesophagus derived from Western and Eastern populations. Beyond known histopathological and epidemiologic distinctions, molecular features differentiated oesophageal squamous cell carcinomas from oesophageal adenocarcinomas. Oesophageal squamous cell carcinomas resembled squamous carcinomas of other organs more than they did oesophageal adenocarcinomas. Our analyses identified three molecular subclasses of oesophageal squamous cell carcinomas, but none showed evidence for an aetiological role of human papillomavirus. Squamous cell carcinomas showed frequent genomic amplifications of CCND1 and SOX2 and/or TP63, whereas ERBB2, VEGFA and GATA4 and GATA6 were more commonly amplified in adenocarcinomas. Oesophageal adenocarcinomas strongly resembled the chromosomally unstable variant of gastric adenocarcinoma, suggesting that these cancers could be considered a single disease entity. However, some molecular features, including DNA hypermethylation, occurred disproportionally in oesophageal adenocarcinomas. These data provide a framework to facilitate more rational categorization of these tumours and a foundation for new therapies

KCLP: A k-Means Cluster-Based Location Privacy Protection Scheme in WSNs for IoT

While enjoying the convenience brought by the Internet of Things (IoT), people also encounter many problems with wireless sensor networks (WSNs), the foundation of IoT. Security problems are especially of concern. In this article, we focus on location privacy, which is a major security issue in WSNs, and propose a k-means cluster-based location privacy (KCLP) protection scheme for IoT. To protect the source location, fake source nodes are used to simulate the function of the real sources. Then, to protect the sink location privacy, fake sink nodes and a specific transmission pattern are utilized. In order to improve safety time, a k-means cluster is applied to create clusters and fake packets that must pass through the area. Compared to contrasting algorithms, the KCLP scheme can increase the safety time and reduce delay at minor expense in energy consumption.AcknoWledgment The work is supported by the National Key Research and Development Program ,No.2018YFC0407900, and the National Natural Science Foundation of Chinaunder Grant No.61572172 and No.61872124,the National Natural Science Foundation of China-Guangdong Joint Fundunder Grant No.U180120020,and supported by the Sixtalent peaks project in Jiangsu Province,No.XYDXXJS-007,and astrategic research grant from City University of Hong Kong(No.7004615)

The Effect of the Cavity Damping on Vehicular Evaluation using the Finite Element Method

This work focuses on finding a numerical solution for vehicle acoustic studies and improving the usefulness of the numerical experimental parameters for the development stage of a new automotive project. Specifically, this research addresses the importance of modal cavity damping for vehicle exerts during numerical studies. It then seeks to suggest standardized parameter values of modal cavity damping in vehicular acoustic studies. The standardized value of modal cavity damping is of great importance for the study of vehicular acoustics in the automotive industry because it would allow the industry to begin studies of the acoustic performance of a new vehicle early in the conception phase with a reliable estimation that would be close to the final value measured in the design phase. It is common for the automotive industry to achieve good levels of numerical-experimental correlation in acoustic studies after the prototyping phase because this phase can be studied with feedback from the simulation and experimental modal parameters. Thus, this research suggests values for modal cavity damping, which are divided into two parts due to their behaviour: ξ(x) = −0.0126(x − 100) + 6.15 as a variable function to analyse up to 100 Hz and 6.15% of modal cavity damping constant for studies between 30 Hz and 100 Hz. The sequence of this study shows how we arrived at these values

Assessment of the effect of reactive materials on the content of selected elements in Indian mustard grown in Cu-contaminated soils

Zero-valent iron (ZVI) represent a promising agent for environmental remediation. The research was aimed to determine the influence of copper in doses of 0, 80, 150, 300, and 600 mg Cu·kg–1 of soil as well as ZVI, and lignite additives on the content of macroelements in the Indian mustard (Brassica juncea (L.) Czern.). The average accumulation of analyzing elements in Indian mustard grown in copper contaminated soil were found to follow the decreasing order Mg > Na > P > Ca > K > N. Soil contamination at 600 mg Cu·kg–1 of soil led to the highest increase in P, Mg, N, and Ca content. The application of ZVI had a positive influence on the average phosphorus and potassium content of Indian mustard. Moreover, the application of ZVI and lignite had a positive influence on the average Mg and Ca content in the above-ground parts of Indian mustard. From the analyzed reactive materials, the application of lignite was shown to be the most effective resulting in the decrease in the average nitrogen and calcium content when compared to the control crop. Calcium content in plants from the control group, without the addition of zero-valent iron, and powered lignite (control), was positively correlated with increasing doses of copper.Zakres badań obejmował określenie wpływu zanieczyszczenia gleby miedzią (0, 80, 150, 300 i 600 mg Cu·kg–1) oraz dodatku żelaza elementarnego (ZVI) i węgla brunatnego na zawartość wybranych makroelementów w gorczycy sarepskiej (Brassica juncea (L.) Czern.). Średnia zawartość analizowanych makroskładników w gorczycy rosnącej na glebie zanieczyszczonej miedzią kształtowała się następująco: Mg > Na > P > Ca > K > N. Gleba zanieczyszczona w dawce 600 mg Cu·kg–1 spowodowała zwiększenie zawartości P, Mg, N i Ca. Dodatek żelaza elementarnego (ZVI) wywarł pozytywny wpływ na średnią zawartość fosforu i potasu w Brassica juncea. Ponadto ZVI i węgiel brunatny wpływały pozytywnie na średnią zawartość Mg i Ca w częściach nadziemnych analizowanej rośliny. Spośród dodawanych do gleby analizowanych materiałów reaktywnych węgiel brunatny spowodował największy wzrost zawartości azotu i wapnia w częściach nadziemnych analizowanej rośliny. Zawartość wapnia w roślinach rosnących w grupie kontrolnej (bez dodatku żelaza elementarnego i węgla brunatnego) była dodatnio skorelowana ze wrastającym zanieczyszczeniem gleby miedzią