Search | Engineering

订阅投稿

首页学术期刊学术焦点学术视频工程成就工程前沿关于我们 English

资源类型

期刊论文 227

年份

2023 14

2022 27

2021 23

2020 21

2019 18

2018 19

2017 18

2016 4

2015 14

2014 6

2013 2

2012 4

2011 1

2010 7

2009 9

2008 11

2007 13

2006 3

2005 1

2004 1

展开︾

关键词

火灾探测 4

检测 3

光声 2

探测系统 2

无损检测 2

核酸检测 2

深度学习 2

ATP荧光检测 1

CDMA 1

COVID-19 1

Cas12a 1

Cascaded 型检测器 1

DFS 1

FPGA 1

OSD 1

PowerShell；抽象语法树；混淆和解混淆；恶意脚本检测 1

RT-qPCR 1

SARS-CoV-2 1

TMS320DM642 1

展开︾

检索范围：

排序：展示方式：

spp., foodborne pathogens threatening neonates and infants

Qiming CHEN, Yang ZHU, Zhen QIN, Yongjun QIU, Liming ZHAO

《农业科学与工程前沿（英文）》 2018年第5卷第3期页码 330-339 doi: 10.15302/J-FASE-2018208

摘要：

Cronobacter spp. (formerly Enterobacter sakazakii) are special foodborne pathogens. Cronobacter infection can cause necrotizing enterocolitis, sepsis and meningitis in all age groups, especially neonates and infants, with a high fatality of up to 80%, although the infection is rare. Outbreaks of Cronobacter infection are epidemiologically proven to be associated with contaminated powdered infant formula (PIF). Cronobacter spp. can resist dry environments and survive for a long period in food with low water activity. Therefore, Cronobacter spp. have become serious pathogens of neonates and infants, as well as in the dairy industry. In this review, we present the taxonomy, pathogenesis, resistance, detection and control of Cronobacter spp.

关键词： Cronobacter spp. desiccation resistance pathogen control pathogen detection powdered infant formula

HTML PDF 收藏

海水养殖细菌性病害检测方法研究进展

肖婧凡,王玥,张元兴,雷霁霖

《中国工程科学》 2014年第16卷第9期页码 10-15

摘要：

随着我国水产养殖业的不断发展，各种病害问题日益突出。细菌性病害在所有病害中占到相当大的比例，因此其检测方法的开发在水产养殖病害发现、防治、无公害水产品生产及卫生质量检验中均具有重要意义。本文对近年来国内外主要海水养殖细菌性病害检测方法的研究情况进行综述，介绍了主要细菌性病害的各种检测方法的原理、应用及其研究进展，为我国今后建立水产养殖细菌性病害检测方法标准及推动相应检测产品的商品化提供参考。

关键词：水产养殖细菌性病害检测方法

HTML PDF 收藏

Systems understanding of plant–pathogen interactions through genome-wide protein–protein interaction

Hong LI,Ziding ZHANG

《农业科学与工程前沿（英文）》 2016年第3卷第2期页码 102-112 doi: 10.15302/J-FASE-2016100

摘要： Plants are frequently affected by pathogen infections. To effectively defend against such infections, two major modes of innate immunity have evolved in plants; pathogen-associated molecular pattern-triggered immunity and effector-triggered immunity. Although the molecular components as well as the corresponding pathways involved in these two processes have been identified, many aspects of the molecular mechanisms of the plant immune system remain elusive. Recently, the rapid development of omics techniques (e.g., genomics, proteomics and transcriptomics) has provided a great opportunity to explore plant–pathogen interactions from a systems perspective and studies on protein–protein interactions (PPIs) between plants and pathogens have been carried out and characterized at the network level. In this review, we introduce experimental and computational identification methods of PPIs, popular PPI network analysis approaches, and existing bioinformatics resources/tools related to PPIs. Then, we focus on reviewing the progress in genome-wide PPI networks related to plant–pathogen interactions, including pathogen-centric PPI networks, plant-centric PPI networks and interspecies PPI networks between plants and pathogens. We anticipate genome-wide PPI network analysis will provide a clearer understanding of plant–pathogen interactions and will offer some new opportunities for crop protection and improvement.

关键词： plant–pathogen interactions systems biology omics plant immunity protein–protein interaction network

HTML PDF 收藏

Locally enhanced electric field treatment (LEEFT) for water disinfection

Jianfeng Zhou, Ting Wang, Cecilia Yu, Xing Xie

《环境科学与工程前沿（英文）》 2020年第14卷第5期 doi: 10.1007/s11783-020-1253-x

摘要： • Nanowire-assisted LEEFT is applied for water disinfection with low voltages. • LEEFT inactivates bacteria by disrupting cell membrane through electroporation. • Multiple electrodes and device configurations have been developed for LEEFT. • The LEEFT is low-cost, highly efficient, and produces no DBPs. • The LEEFT can potentially be applicable for water disinfection at all scales. Water disinfection is a critical step in water and wastewater treatment. The most widely used chlorination suffers from the formation of carcinogenic disinfection by-products (DBPs) while alternative methods (e.g., UV, O3, and membrane filtration) are limited by microbial regrowth, no residual disinfectant, and high operation cost. Here, a nanowire-enabled disinfection method, locally enhanced electric field treatment (LEEFT), is introduced with advantages of no chemical addition, no DBP formation, low energy consumption, and efficient microbial inactivation. Attributed to the lightning rod effect, the electric field near the tip area of the nanowires on the electrode is significantly enhanced to inactivate microbes, even though a small external voltage (usually<5 V) is applied. In this review, after emphasizing the significance of water disinfection, the theory of the LEEFT is explained. Subsequently, the recent development of the LEEFT technology on electrode materials and device configurations are summarized. The disinfection performance is analyzed, with respect to the operating parameters, universality against different microorganisms, electrode durability, and energy consumption. The studies on the inactivation mechanisms during the LEEFT are also reviewed. Lastly, the challenges and future research of LEEFT disinfection are discussed.

关键词： Water treatment Nanotechnology Pathogen inactivation Electroporation Nanowire Chemical-free

HTML PDF 收藏

利用基因组特异性引物和Cas12a介导技术快速检测稻瘟菌小麦致病型 Article

康厚祥, 彭烨, Kangyu Hua, 邓雨飞, Maria Bellizzi, Dipali Rani Gupta, Nur Uddin Mahmud, Alfredo S. Urashima, Sanjoy Kumar Paul, Gary Peterson, 周益林, 周雪平, Md Tofazzal Islam, 王国梁

《工程（英文）》 2021年第7卷第9期页码 1326-1335 doi: 10.1016/j.eng.2020.07.016

摘要：

麦瘟病由稻瘟菌小麦致病型（MoT）引起，是一种存在于南美洲和孟加拉国的毁灭性病害。由于MoT通常不会在抽穗期之前使小麦显现染病症状，但在抽穗期其侵染会一直加剧，因此仅根据肉眼观察来使用杀菌剂是无效的。为了开发一种在苗期和营养期准确、灵敏检测MoT以控制病害蔓延的方法，我们对来自巴西的两个MoT分离株的基因组进行了测序，并确定了两个DNA片段：MoT-6098 和MoT-6099，它们存在于麦瘟病菌（MoT）基因组中，但不存在于感染稻瘟病菌（MoO）的水稻基因组中。利用聚合酶链反应（PCR），我们在来自南美洲和孟加拉国的53 株MoT和MoO分离株中证实了这两对标记引物的特异性。为了测试这两对标记引物的有效性，我们首先建立了一种环介导等温扩增（LAMP）方法。在等温条件下，这种方法在不使用常规PCR仪器的情况下也能检测MoT。随后，我们使用Cas12a 蛋白及导向RNA（gRNA）靶向MoT-6098 和MoT-6099 序列，两个靶标被识别后，均能激活Cas12a 非特异切割单链脱氧核糖核酸酶（ssDNAase）的活性，我们将依赖靶向Cas12a 激活ssDNase 活性，同时将重组酶聚合酶扩增（RPA）和核酸侧流免疫分析法（NALFIA）相结合，开发出一种准确、灵敏且经济高效地检测受感染小麦植株中MoT特异性DNA序列的方法。这种新技术可应用于田间麦瘟病和其他重要植物病害的快速检测。

关键词：麦瘟病稻瘟菌小麦致病型 Cas12a 核酸侧流免疫分析田间检测

HTML PDF 收藏

Clinical manifestations and pathogen characteristics in children admitted for suspected COVID-19

Xiaofang Cai, Hanlan Jiang, Simin Zhang, Shengying Xia, Wenhui Du, Yaoling Ma, Tao Yu, Wenbin Li

《医学前沿（英文）》 2020年第14卷第6期页码 776-785 doi: 10.1007/s11684-020-0820-7

摘要： Coronavirus disease 2019 (COVID-19), which is caused by severe acute respiratory syndrome coronavirus-2 (SARS-CoV-2), has spread around the world. However, approaches to distinguish COVID-19 from pneumonia caused by other pathogens have not yet been reported. We retrospectively analyzed the clinical data of 97 children with probable COVID-19. A total of 13 (13.4%) patients were confirmed positive for SARS-CoV-2 infection by nucleic acid RT-PCR testing, and 41 (42.3%) patients were found to be infected with other pathogens. Notably, no pathogen was detected in 43 (44.3%) patients. Among all patients, 25 (25.8%) had familial cluster exposure history, and 52 (53.6%) had one or more coexisting conditions. Fifteen (15.5%) patients were admitted or transferred to the PICU. In the 11 confirmed COVID-19 cases, 5 (45.5%) and 7 (63.6%) were positive for IgM and IgG against SARS-CoV-2, respectively. In 22 patients with suspected COVID-19, 1 (4.5%) was positive for IgG but negative for IgM. The most frequently detected pathogen was (29, 29.9%). One patient with confirmed COVID 19 died. Our results strongly indicated that the detection of asymptomatic COVID 19 or coexisting conditions must be strengthened in pediatric patients. These cases may be difficult to diagnose as COVID-19 unless etiologic analysis is conducted. A serologic test can be a useful adjunctive diagnostic tool in cases where SARS-CoV-2 infection is highly suspected but the nucleic acid test is negative.

关键词： coronavirus disease 2019 pediatrics emergency retrospective investigation severe acute respiratory syndrome coronavirus 2

HTML PDF 收藏

PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing datasets as illustrated by application to COVID-19

《医学前沿（英文）》 2022年第16卷第2期页码 251-262 doi: 10.1007/s11684-021-0915-9

摘要： Pathogenic microbes can induce cellular dysfunction, immune response, and cause infectious disease and other diseases including cancers. However, the cellular distributions of pathogens and their impact on host cells remain rarely explored due to the limited methods. Taking advantage of single-cell RNA-sequencing (scRNA-seq) analysis, we can assess the transcriptomic features at the single-cell level. Still, the tools used to interpret pathogens (such as viruses, bacteria, and fungi) at the single-cell level remain to be explored. Here, we introduced PathogenTrack, a python-based computational pipeline that uses unmapped scRNA-seq data to identify intracellular pathogens at the single-cell level. In addition, we established an R package named Yeskit to import, integrate, analyze, and interpret pathogen abundance and transcriptomic features in host cells. Robustness of these tools has been tested on various real and simulated scRNA-seq datasets. PathogenTrack is competitive to the state-of-the-art tools such as Viral-Track, and the first tools for identifying bacteria at the single-cell level. Using the raw data of bronchoalveolar lavage fluid samples (BALF) from COVID-19 patients in the SRA database, we found the SARS-CoV-2 virus exists in multiple cell types including epithelial cells and macrophages. SARS-CoV-2-positive neutrophils showed increased expression of genes related to type I interferon pathway and antigen presenting module. Additionally, we observed the Haemophilus parahaemolyticus in some macrophage and epithelial cells, indicating a co-infection of the bacterium in some severe cases of COVID-19. The PathogenTrack pipeline and the Yeskit package are publicly available at GitHub.

关键词： scRNA-seq intracellular pathogen microbe COVID-19 SARS-CoV-2

HTML PDF 收藏

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

《能源前沿（英文）》 2019年第13卷第3期页码 522-538 doi: 10.1007/s11708-018-0562-2

摘要： It is well known that smart thermostats (STs) have become key devices in the implementation of smart homes; thus, they are considered as primary elements for the control of electrical energy consumption in households. Moreover, energy consumption is drastically affected when the end users select unsuitable STs or when they do not use the STs correctly. Furthermore, in future, Mexico will face serious electrical energy challenges that can be considerably resolved if the end users operate the STs in a correct manner. Hence, it is important to carry out an in-depth study and analysis on thermostats, by focusing on social aspects that influence the technological use and performance of the thermostats. This paper proposes the use of a signal detection theory (SDT), fuzzy detection theory (FDT), and chi-square (CS) test in order to understand the perceptions and beliefs of end users about the use of STs in Mexico. This paper extensively shows the perceptions and beliefs about the selected thermostats in Mexico. Besides, it presents an in-depth discussion on the cognitive perceptions and beliefs of end users. Moreover, it shows why the expectations of the end users about STs are not met. It also promotes the technological and social development of STs such that they are relatively more accepted in complex electrical grids such as smart grids.

关键词： thermostats perceptions beliefs signal detection theory (SDT) fuzzy signal detection theory (FSDT) chi-square (CS) test

HTML PDF 收藏

Advances in airborne microorganisms detection using biosensors: A critical review

《环境科学与工程前沿（英文）》 2021年第15卷第3期 doi: 10.1007/s11783-021-1420-8

摘要：

Humanity has been facing the threat of a variety of infectious diseases. Airborne microorganisms can cause airborne infectious diseases, which spread rapidly and extensively, causing huge losses to human society on a global scale. In recent years, the detection technology for airborne microorganisms has developed rapidly; it can be roughly divided into biochemical, immune, and molecular technologies.

关键词： Biosensor Airborne microorganisms Microbiological detection technology

HTML PDF 收藏

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

《化学科学与工程前沿（英文）》 2017年第11卷第3期页码 448-464 doi: 10.1007/s11705-017-1611-9

摘要： Perchlorate has recently emerged as a widespread environmental contaminant of healthy concern. Development of novel detection methods for perchlorate with the potential for field use has been an urgent need. The investigation has shown that surface-enhanced Raman scattering (SERS) technique has great potential to become a practical analysis tool for the rapid screening and routine monitoring of perchlorate in the field, particularly when coupled with portable/handheld Raman spectrometers. In this review article, we summarize progress made in SERS analysis of perchlorate in water and other media with an emphasis on the development of SERS substrates for perchlorate detection. The potential of this technique for fast screening and field testing of perchlorate-contaminated environmental samples is discussed. The challenges and possible solutions are also addressed, aiming to provide a better understanding on the development directions in the research field.

关键词： perchlorate SERS detection substrate modification nanostructure

HTML PDF 收藏

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

《环境科学与工程前沿（英文）》 2022年第16卷第3期 doi: 10.1007/s11783-021-1472-9

摘要：

• A spectral machine learning approach is proposed for predicting mixed antibiotic.

关键词： Antibiotic contamination Spectral detection Machine learning

HTML PDF 收藏

脉冲辐射探测技术

欧阳晓平

《中国工程科学》 2008年第10卷第4期页码 44-55

摘要：

脉冲辐射探测是探知核反应过程特征信息的主要途径之一，是核反应过程特性研究、核装置设计、运行、监测与控制不可或缺的技术手段。由核探测器、探测方法和应用技术等构成的脉冲辐射场探测技术，已成为科学研究、核技术应用、核材料分析、裂变/聚变研究和天体物理等相关核科学研究的必备技术元素。文章介绍了我国发展的瞬态核裂变、核聚变反应过程释放的脉冲中子、伽马混合辐射场探测系统和测量技术。

关键词：裂变反应聚变反应脉冲辐射探测探测系统中子测量伽马测量

HTML PDF 收藏

Experimental and numerical study on microcrack detection using contact nonlinear acoustics

Xiaojia CHEN, Yuanlin WANG

《结构与土木工程前沿（英文）》 2009年第3卷第2期页码 137-141 doi: 10.1007/s11709-009-0028-z

摘要： This paper introduces a non-classical nonlinear acoustic theory for microcrack detection in materials, comparing contact nonlinearity with material nonlinearity. The paper’s main work concentrates on the experimental and numerical verification of the effectivity of contact nonlinear acoustic detection by using the contact nonlinear parameter , which can be represented by the ratio of the second-harmonic amplitude to the square of the first-harmonic amplitude. Both experiments and numerical tests are performed. The results show that is sensitive to the initiation of microcracks and varies with the development of the microcracks. The numerical test illustrates the decline of when microcracks penetrate each other.

关键词： microcrack detection contact nonlinearity numerical analysis

HTML PDF 收藏

Edge detection of steel plates at high temperature using image measurement

Qiong Zhou, Qi An

《机械工程前沿（英文）》 2009年第4卷第1期页码 77-82 doi: 10.1007/s11465-009-0013-1

摘要： An edge detection method for the measurement of steel plate’s thermal expansion is proposed in this paper, where the shrinkage of a steel plate is measured when temperature drops. First, images are picked up by an imaging system; a method of regional edge detection based on grayscales’ sudden change is then applied to detect the edges of the steel plate; finally, pixel coordinates of the edge position are transformed to physical coordinates through calibration parameters. The experiment shows that the real-time, high precision, and non-contact measurement of the steel plate’s edge position under high temperature can be realized using the imaging measurement method established in this paper.

关键词： thermal expansion image measurement edge detection image calibration

HTML PDF 收藏

Digital image correlation-based structural state detection through deep learning

《结构与土木工程前沿（英文）》 2022年第16卷第1期页码 45-56 doi: 10.1007/s11709-021-0777-x

摘要： This paper presents a new approach for automatical classification of structural state through deep learning. In this work, a Convolutional Neural Network (CNN) was designed to fuse both the feature extraction and classification blocks into an intelligent and compact learning system and detect the structural state of a steel frame; the input was a series of vibration signals, and the output was a structural state. The digital image correlation (DIC) technology was utilized to collect vibration information of an actual steel frame, and subsequently, the raw signals, without further pre-processing, were directly utilized as the CNN samples. The results show that CNN can achieve 99% classification accuracy for the research model. Besides, compared with the backpropagation neural network (BPNN), the CNN had an accuracy similar to that of the BPNN, but it only consumes 19% of the training time. The outputs of the convolution and pooling layers were visually displayed and discussed as well. It is demonstrated that: 1) the CNN can extract the structural state information from the vibration signals and classify them; 2) the detection and computational performance of the CNN for the incomplete data are better than that of the BPNN; 3) the CNN has better anti-noise ability.

关键词： structural state detection deep learning digital image correlation vibration signal steel frame

HTML PDF 收藏

标题作者时间类型操作

spp., foodborne pathogens threatening neonates and infants

Qiming CHEN, Yang ZHU, Zhen QIN, Yongjun QIU, Liming ZHAO

期刊论文

海水养殖细菌性病害检测方法研究进展

肖婧凡,王玥,张元兴,雷霁霖

期刊论文

Systems understanding of plant–pathogen interactions through genome-wide protein–protein interaction

Hong LI,Ziding ZHANG

期刊论文

Locally enhanced electric field treatment (LEEFT) for water disinfection

Jianfeng Zhou, Ting Wang, Cecilia Yu, Xing Xie

期刊论文

利用基因组特异性引物和Cas12a介导技术快速检测稻瘟菌小麦致病型

期刊论文

Clinical manifestations and pathogen characteristics in children admitted for suspected COVID-19

Xiaofang Cai, Hanlan Jiang, Simin Zhang, Shengying Xia, Wenhui Du, Yaoling Ma, Tao Yu, Wenbin Li

期刊论文

PathogenTrack and Yeskit: tools for identifying intracellular pathogens from single-cell RNA-sequencing datasets as illustrated by application to COVID-19

期刊论文

Usability perceptions and beliefs about smart thermostats by chi-square test, signal detection theory, and fuzzy detection theory in regions of Mexico

Pedro PONCE, Therese PEFFER, Arturo MOLINA

期刊论文

Advances in airborne microorganisms detection using biosensors: A critical review

期刊论文

Recent advances in SERS detection of perchlorate

Jumin Hao, Xiaoguang Meng

期刊论文

A fast antibiotic detection method for simplified pretreatment through spectra-based machine learning

期刊论文

脉冲辐射探测技术

欧阳晓平

期刊论文