55,552 results match your criteria Automation In Construction[Journal]


Video-oculography eye tracking towards clinical applications: A review.

Comput Biol Med 2019 Mar 30;108:57-66. Epub 2019 Mar 30.

Research Institute for Signals, Systems and Computational Intelligence, Sinc(i), FICH-UNL/CONICET, Ruta Nac. No 168, Km 472.4 (3000), Santa Fe, Argentina.

Most neurological diseases are usually accompanied by a broad spectrum of oculomotor alterations. Being able to record and analyze these different types of eye movements would be a valuable tool to understand the functional integrity of brain structures. Nowadays, video-oculography is the most widely used eye-movements assessing method. Read More

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http://dx.doi.org/10.1016/j.compbiomed.2019.03.025DOI Listing

Single-cell correlations of mRNA and protein content in a human monocytic cell line after LPS stimulation.

PLoS One 2019 19;14(4):e0215602. Epub 2019 Apr 19.

Center for Integrated Nanotechnologies, Los Alamos National Laboratory, Los Alamos, New Mexico, United States of America.

The heterogeneity of mRNA and protein expression at the single-cell level can reveal fundamental information about cellular response to external stimuli, including the sensitivity, timing, and regulatory interactions of genes. Here we describe a fully automated system to digitally count the intron, mRNA, and protein content of up to five genes of interest simultaneously in single-cells. Full system automation of 3D microscope scans and custom image analysis routines allows hundreds of individual cells to be automatically segmented and the mRNA-protein content to be digitally counted. Read More

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http://journals.plos.org/plosone/article?id=10.1371/journal.pone.0215602PLOS

Assessing Cyberbiosecurity Vulnerabilities and Infrastructure Resilience.

Front Bioeng Biotechnol 2019 29;7:61. Epub 2019 Mar 29.

Argonne National Laboratory (DOE), Strategic Security Sciences Division, Lemont, IL, United States.

The convergence of advances in biotechnology with laboratory automation, access to data, and computational biology has democratized biotechnology and accelerated the development of new therapeutics. However, increased access to biotechnology in the digital age has also introduced additional security concerns and ultimately, spawned the new discipline of cyberbiosecurity, which encompasses cybersecurity, cyber-physical security, and biosecurity considerations. With the emergence of this new discipline comes the need for a logical, repeatable, and shared approach for evaluating facility and system vulnerabilities to cyberbiosecurity threats. Read More

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http://dx.doi.org/10.3389/fbioe.2019.00061DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6455068PMC

DRUM: Inference of Disease-Associated mA RNA Methylation Sites From a Multi-Layer Heterogeneous Network.

Front Genet 2019 3;10:266. Epub 2019 Apr 3.

Department of Biological Sciences, Research Center for Precision Medicine, Xi'an Jiaotong-Liverpool University, Suzhou, China.

Recent studies have revealed that the RNA -methyladenosine (mA) modification plays a critical role in a variety of biological processes and associated with multiple diseases including cancers. Till this day, transcriptome-wide mA RNA methylation sites have been identified by high-throughput sequencing technique combined with computational methods, and the information is publicly available in a few bioinformatics databases; however, the association between individual mA sites and various diseases are still largely unknown. There are yet computational approaches developed for investigating potential association between individual mA sites and diseases, which represents a major challenge in the epitranscriptome analysis. Read More

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http://dx.doi.org/10.3389/fgene.2019.00266DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6456716PMC

Analysis of microRNAs, phased small interfering RNAs and their potential targets in Rosarugosa Thunb.

BMC Genomics 2019 Apr 18;19(Suppl 9):983. Epub 2019 Apr 18.

Faculty of Information Engineering and Automation, Kunming University of Science and Technology, Kunming, 650500, China.

Background: MicroRNAs (miRNAs) are small non-coding RNAs that play important roles by regulating other genes. Rosa rugosa Thunb. is an important ornamental and edible plant, yet there are only a few studies on the miRNAs and their functions in R. Read More

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http://dx.doi.org/10.1186/s12864-018-5325-2DOI Listing

Research on the Buckling Behavior of Functionally Graded Plates with Stiffeners Based on the Third-Order Shear Deformation Theory.

Materials (Basel) 2019 Apr 17;12(8). Epub 2019 Apr 17.

Faculty of Mechanical Engineering, Le Quy Don Technical University, Hanoi City 100000, Vietnam.

This paper presents a finite element formulation to study the mechanical buckling of stiffened functionally graded material (FGM) plates. The approach is based on a third-order shear deformation theory (TSDT) introduced by Guangyu Shi. The material properties of the plate were assumed to be varied in the thickness direction by a power law distribution, but the material of the stiffener was the same as that of the one of the bottom surface where the stiffener was placed. Read More

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http://dx.doi.org/10.3390/ma12081262DOI Listing

Transfer Learning Based Fault Diagnosis with Missing Data Due to Multi-Rate Sampling.

Sensors (Basel) 2019 Apr 17;19(8). Epub 2019 Apr 17.

School of Computer and Information Engineering, Henan University, Kaifeng 475004, China.

Deep learning is an effective feature extraction method widely applied in fault diagnosis fields since it can extract fault features potentially involved in multi-sensor data. But different sensors equipped in the system may sample data at different sampling rates, which will inevitably result in a problem that a very small number of samples with a complete structure can be used for deep learning since the input of a deep neural network (DNN) is required to be a structurally complete sample. On the other hand, a large number of samples are required to ensure the efficiency of deep learning based fault diagnosis methods. Read More

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http://dx.doi.org/10.3390/s19081826DOI Listing

Inspection of Aircraft Wing Panels Using Unmanned Aerial Vehicles.

Sensors (Basel) 2019 Apr 17;19(8). Epub 2019 Apr 17.

Airbus UK, Broughton CH4 0DR, UK.

In large civil aircraft manufacturing, a time-consuming post-production process is the non-destructive inspection of wing panels. This work aims to address this challenge and improve the defects' detection by performing automated aerial inspection using a small off-the-shelf multirotor. The UAV is equipped with a wide field-of-view camera and an ultraviolet torch for implementing non-invasive imaging inspection. Read More

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http://dx.doi.org/10.3390/s19081824DOI Listing

Guidance for cytological automation in hematology.

Ann Biol Clin (Paris) 2019 Apr;77(2):128-129

Société de conseils C2BIO, Beaumont, France.

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http://dx.doi.org/10.1684/abc.2019.1429DOI Listing

Artificial Intelligence and Optical Coherence Tomography Imaging.

Asia Pac J Ophthalmol (Phila) 2019 Apr 18. Epub 2019 Apr 18.

Harkness Eye Institute, Columbia University, New York, United States.

This review article aimed to highlight the application and use of artificial intelligence (AI) in optical coherence tomography (OCT) imaging in ophthalmology. Artificial intelligence programs seek to simulate intelligent human behavior in computers. With an abundance of patient data, especially with the advent and growing use of imaging modalities such as OCT, AI programs provide us with the unique opportunity to analyze this plethora of information and assist in making clinical decisions in the field of ophthalmology. Read More

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http://www.apjo.org/Apjo/pdf/id/654.html
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http://dx.doi.org/10.22608/APO.201904DOI Listing
April 2019
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Nanofabrication of High-Resolution Periodic Structures with a Gap Size Below 100 nm by Two-Photon Polymerization.

Nanoscale Res Lett 2019 Apr 17;14(1):134. Epub 2019 Apr 17.

Institute of Quantum Optics, Leibniz Universität Hannover, Welfengarten 1, Hannover, 30167, Germany.

In this paper, approaches for the realization of high-resolution periodic structures with gap sizes at sub-100 nm scale by two-photon polymerization (2PP) are presented. The impact of laser intensity on the feature sizes and surface quality is investigated. The influence of different photosensitive materials on the structure formation is compared. Read More

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http://dx.doi.org/10.1186/s11671-019-2955-5DOI Listing

Comment on: Automation and productivity in the clinical laboratory: experience of a tertiary healthcare facility.

Singapore Med J 2019 Mar;60(3):161

Dr DY Patil University, Pune, Maharashtra, India.

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http://dx.doi.org/10.11622/smedj.2019027DOI Listing

Extraction of nucleic acids from blood: unveiling the potential of active pneumatic pumping in centrifugal microfluidics for integration and automation of sample preparation processes.

Lab Chip 2019 Apr 18. Epub 2019 Apr 18.

National Research Council of Canada, Life Sciences Division, 75 de Mortagne Boulevard, Boucherville, QC J4B 6Y4, Canada. and Department of Biomedical Engineering, McGill University, 3775 University Street, Montreal, QC H3A 2B4, Canada.

This paper describes the development of an on-chip nucleic acid (NA) extraction assay from whole blood using a centrifugal microfluidic platform that allows for pneumatic actuation of liquids during rotation. The combination of pneumatic and centrifugal forces makes it possible to perform fluidic operations without the need for integrating active control elements on the microfluidic cartridge. The cartridge is fabricated from thermoplastic polymers (e. Read More

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http://dx.doi.org/10.1039/c9lc00276fDOI Listing

Exploiting Chemical Toolboxes for the Expedited Generation of Tetracyclic Quinolines as a Novel Class of PXR Agonists.

ACS Med Chem Lett 2019 Apr 27;10(4):677-681. Epub 2018 Dec 27.

Department of Pharmaceutical Sciences, University of Perugia, Via del Liceo 1, I-06123 Perugia, Italy.

The discovery of lead compounds relies on the iterative generation of structure-activity relationship data resulting from the synthesis and biological evaluation of hit analogues. Using traditional approaches, a significant time delay may occur from compound design to results, leading to slow and expensive hit-to-lead explorations. Herein, we have exploited the use of chemical toolboxes to expedite lead discovery and optimization. Read More

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http://dx.doi.org/10.1021/acsmedchemlett.8b00459DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6466813PMC

Toward an Expert Level of Lung Cancer Detection and Classification Using a Deep Convolutional Neural Network.

Oncologist 2019 Apr 17. Epub 2019 Apr 17.

Guangdong Lung Cancer Institute, Guangdong Provincial Key Laboratory of Translational Medicine in Lung Cancer, Guangdong Provincial People's Hospital & Guangdong Academy of Medical Sciences, Guangzhou, People's Republic of China

Background: Computed tomography (CT) is essential for pulmonary nodule detection in diagnosing lung cancer. As deep learning algorithms have recently been regarded as a promising technique in medical fields, we attempt to integrate a well-trained deep learning algorithm to detect and classify pulmonary nodules derived from clinical CT images.

Materials And Methods: Open-source data sets and multicenter data sets have been used in this study. Read More

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http://theoncologist.alphamedpress.org/lookup/doi/10.1634/th
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http://dx.doi.org/10.1634/theoncologist.2018-0908DOI Listing
April 2019
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Implementing monitoring triggers and matching of triggered and control sites in the TEMPER study: a description and evaluation of a triggered monitoring management system.

Trials 2019 Apr 17;20(1):227. Epub 2019 Apr 17.

MRC Clinical Trials Unit at UCL, Institute of Clinical Trials & Methodology, University College London, 90 High Holborn 2nd Floor, London, WC1V 6LJ, UK.

Background: Triggered monitoring in clinical trials is a risk-based monitoring approach where triggers (centrally monitored, predefined key risk and performance indicators) drive the extent, timing, and frequency of monitoring visits. The TEMPER study used a prospective, matched-pair design to evaluate the use of a triggered monitoring strategy, comparing findings from triggered monitoring visits with those from matched control sites. To facilitate this study, we developed a bespoke risk-based monitoring system: the TEMPER Management System. Read More

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http://dx.doi.org/10.1186/s13063-019-3301-zDOI Listing

A High Sensitivity Temperature Sensing Probe Based on Microfiber Fabry-Perot Interference.

Sensors (Basel) 2019 Apr 16;19(8). Epub 2019 Apr 16.

College of Information Science and Engineering, Northeastern University, Shenyang 110819, China.

In this paper, a miniature Fabry-Perot temperature probe was designed by using polydimethylsiloxane (PDMS) to encapsulate a microfiber in one cut of hollow core fiber (HCF). The microfiber tip and a common single mode fiber (SMF) end were used as the two reflectors of the Fabry-Perot interferometer. The temperature sensing performance was experimentally demonstrated with a sensitivity of 11. Read More

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https://www.mdpi.com/1424-8220/19/8/1819
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http://dx.doi.org/10.3390/s19081819DOI Listing
April 2019
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Rapid Methods and Automation: A Survey of Professional Microbiologists.

J Food Prot 1989 Jan;52(1):65-68

Participants of an international workshop on rapid methods and automation were surveyed concerning the numbers of total plate counts and coliform counts performed per year, the numbers and kinds of pathogen detection tests routinely performed, and the type of instruments and diagnostic kits routinely used in their laboratories. The candid opinions on what is needed in the near future and the general perceptions of the field of rapid methods and automation in microbiology and their wish list were also solicited. Responses from 55 professional practicing microbiologists were analyzed. Read More

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http://dx.doi.org/10.4315/0362-028X-52.1.65DOI Listing
January 1989

Flow field perception based on the fish lateral line system.

Bioinspir Biomim 2019 Apr 17. Epub 2019 Apr 17.

Beihang University, Beijing, CHINA.

Fish are able to perceive the surrounding weak flow and pressure variations with their mechanosensory lateral line system, which consists of a superficial lateral line for flow velocity detection and a canal lateral line for flow pressure gradient perception. Achieving a better understanding of the flow field perception algorithms of the lateral line can contribute not only to the design of highly sensitive flow sensors, but also to the development of underwater smart skin with good hydrodynamic imaging properties. In this review, we discuss highly sensitive flow-sensing mechanisms for superficial and canal neuromasts and flow field perception algorithms. Read More

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http://dx.doi.org/10.1088/1748-3190/ab1a8dDOI Listing

Exploring the fatigue affecting electroencephalography based functional brain networks during real driving in young males.

Neuropsychologia 2019 Apr 14. Epub 2019 Apr 14.

Department of Mechanical Engineering and Automation, Northeastern University, 110819 Shenyang, Liaoning, China.

In recent years, a large proportion of traffic accidents are caused by driver fatigue. The brain has been conceived as a complex network, whose function can be assessed with EEG. Hence, in this research, fourteen subjects participated in the real driving experiments, and a comprehensive EEG-based expert system was designed for detecting driver fatigue. Read More

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http://dx.doi.org/10.1016/j.neuropsychologia.2019.04.004DOI Listing

A new statistic for efficient detection of repetitive sequences.

Bioinformatics 2019 Apr 16. Epub 2019 Apr 16.

Department of Automation, MOE Key Laboratory of Bioinformatics; Bioinformatics Division and Center for Synthetic & Systems Biology, BNRist, Tsinghua University, Beijing, China.

Motivation: Detecting sequences containing repetitive regions is a basic bioinformatics task with many applications. Several methods have been developed for various types of repeat detection tasks. An efficient generic method for detecting most types of repetitive sequences is still desirable. Read More

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https://academic.oup.com/bioinformatics/advance-article/doi/
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http://dx.doi.org/10.1093/bioinformatics/btz262DOI Listing
April 2019
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A 2D laser rangefinder scans dataset of standard EUR pallets.

Data Brief 2019 Jun 22;24:103837. Epub 2019 Mar 22.

Department of Informatics, Bioengineering, Robotics and Systems Engineering (DIBRIS), University of Genoa, Italy.

In the past few years, the technology of automated guided vehicles (AGVs) has notably advanced. In particular, in the context of factory and warehouse automation, different approaches have been presented for detecting and localizing pallets inside warehouses and shop-floor environments. In a related research paper Mohamed et al. Read More

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http://dx.doi.org/10.1016/j.dib.2019.103837DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449777PMC

Synchronization of interconnected heterogeneous networks: The role of network sizes.

Sci Rep 2019 Apr 16;9(1):6154. Epub 2019 Apr 16.

Rensselaer Polytechnic Institute, Computer Science Department & Network Science and Technology Center, Troy, New York, 12180, USA.

Increasing evidence shows that real networks interact with each other, forming a network of networks (NONs). Synchronization, a ubiquitous process in natural and engineering systems, has fascinatingly gained rising attentions in the context of NONs. Despite efforts to study the synchronization of NONs, it is still a challenge to understand how do the network sizes affect the synchronization and its phase diagram of NONs coupled with nonlinear dynamics. Read More

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http://www.nature.com/articles/s41598-019-42636-6
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http://dx.doi.org/10.1038/s41598-019-42636-6DOI Listing
April 2019
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Shrinkage and Durability Evaluation of Environmental Load-Reducing FRPCM by Using Silicone Oil.

Materials (Basel) 2019 Apr 15;12(8). Epub 2019 Apr 15.

School of Architecture and Civil Engineering, Kyungpook National University, 80 Daehakro, Bukgu, Daegu 41566, Korea.

In this study, the shrinkage and durability of environmental load-reducing fiber-reinforced polymer cement mortar (FRPCM) were examined by using silicone oil. The results indicated that the shrinkage can be greatly reduced by adding silicone oil. However, when the silicone oil is added in excess, it affects the strength and durability. Read More

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http://dx.doi.org/10.3390/ma12081240DOI Listing

Effect of Stress Wave between Adjacent Asperities Interaction on Subsurface Damage of Optical Glass in Precision Grinding.

Materials (Basel) 2019 Apr 15;12(8). Epub 2019 Apr 15.

College of Mechanical Engineering and Automation, Fuzhou University, Fuzhou 350116, China.

The interaction between adjacent asperities is a typical characteristic of the grinding process and plays an important role in the material removal mechanism. Therefore, in order to systematically investigate the formation mechanism of the subsurface damage, a precision grinding contact model between the diamond particle and optical glass with adjacent asperities is proposed in our research. The initiation and propagation mechanism of median/lateral cracks under residual stress, the propagation rules of the stress waves on the subsurface, and the interaction between the subsurface damage under stress superposition effect are fully investigated by a theoretical analysis and finite element simulation. Read More

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http://dx.doi.org/10.3390/ma12081239DOI Listing

Attitude Measurement for High-Spinning Projectile with a Hollow MEMS IMU Consisting of Multiple Accelerometers and Gyros.

Sensors (Basel) 2019 Apr 15;19(8). Epub 2019 Apr 15.

School of Automation, Beijing Institute of Technology, Beijing 100081, China.

A low cost, high precision hollow structure MEMS IMU has been developed to measure the roll angular rate of a high-spinning projectile. The hollow MEMS IMU is realized by designing the scheme of non-centroid configuration of multiple accelerometers. Two dual-axis accelerometers are respectively mounted on the pitch axis and the yaw axis away from the center of mass of the high-spinning projectile. Read More

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http://dx.doi.org/10.3390/s19081799DOI Listing

Mapping Tobacco Fields Using UAV RGB Images.

Sensors (Basel) 2019 Apr 15;19(8). Epub 2019 Apr 15.

Institute of Remote Sensing Science and Engineering, Faculty of Geographical Science, Beijing Normal University, Beijing 100875, China.

Tobacco planting information is an important part of tobacco production management. Unmanned aerial vehicle (UAV) remote sensing systems have become a popular topic worldwide because they are mobile, rapid and economic. In this paper, an automatic identification method for tobacco fields based on UAV images is developed by combining supervised classifications with image morphological operations, and this method was used in the Yunnan Province, which is the top province for tobacco planting in China. Read More

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http://dx.doi.org/10.3390/s19081791DOI Listing

Utilization of waste cake for fermentative ethanol production.

Sci Total Environ 2019 Apr 8;673:378-383. Epub 2019 Apr 8.

School of Automation, The Belt and Road Information Research Institute, Hangzhou Dianzi University, Hangzhou 310018, China. Electronic address:

In this study, utilization of waste cake for bioethanol production via a two-step of enzymatic hydrolysis and ethanol fermentation was developed. At the first step, namely waste cake hydrolysis, effects of α-amylase volumes (C1: 0.1 mL/L, C2: 0. Read More

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https://linkinghub.elsevier.com/retrieve/pii/S00489697193159
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http://dx.doi.org/10.1016/j.scitotenv.2019.04.079DOI Listing
April 2019
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The Hierarchical Continuous Pursuit Learning Automation: A Novel Scheme for Environments With Large Numbers of Actions.

IEEE Trans Neural Netw Learn Syst 2019 Apr 11. Epub 2019 Apr 11.

Although the field of learning automata (LA) has made significant progress in the past four decades, the LA-based methods to tackle problems involving environments with a large number of actions is, in reality, relatively unresolved. The extension of the traditional LA to problems within this domain cannot be easily established when the number of actions is very large. This is because the dimensionality of the action probability vector is correspondingly large, and so, most components of the vector will soon have values that are smaller than the machine accuracy permits, implying that they will never be chosen. Read More

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http://dx.doi.org/10.1109/TNNLS.2019.2905162DOI Listing

A 10-nm Spectral Resolution Hyperspectral LiDAR System Based on an Acousto-Optic Tunable Filter.

Sensors (Basel) 2019 Apr 4;19(7). Epub 2019 Apr 4.

Key Laboratory of Quantitative Remote Sensing Information Technology, Chinese Academy of Sciences (CAS), Beijing 100094, China.

Hyperspectral LiDAR (HSL) technology can obtain spectral and ranging information from targets by processing the recorded waveforms and measuring the time of flight (ToF). With the development of the supercontinuum laser (SCL), it is technically easier to develop an active hyperspectral LiDAR system that can simultaneously collect both spatial information and extensive spectral information from targets. Compared with traditional LiDAR technology, which can only obtain range and intensity information at the selected spectral wavelengths, HSL detection technology has demonstrated its potential and adaptability for various quantitative applications from its spectrally resolved waveforms. Read More

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http://dx.doi.org/10.3390/s19071620DOI Listing

Formation Generation for Multiple Unmanned Vehicles Using Multi-Agent Hybrid Social Cognitive Optimization Based on the Internet of Things.

Sensors (Basel) 2019 Apr 2;19(7). Epub 2019 Apr 2.

Science and Technology on Information Systems Engineering Laboratory, Beijing Institute of Control & Electronics Technology, Beijing 100038, China.

Multi-agent hybrid social cognitive optimization (MAHSCO) based on the Internet of Things (IoT) is suggested to solve the problem of the generation of formations of unmanned vehicles. Through the analysis of the unmanned vehicle formation problem, formation principles, formation scale, unmanned vehicle formation safety distance, and formation evaluation indicators are taken into consideration. The application of the IoT enables the optimization of distributed computing. Read More

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http://dx.doi.org/10.3390/s19071600DOI Listing

Maneuvering Target Tracking Using Simultaneous Optimization and Feedback Learning Algorithm Based on Elman Neural Network.

Sensors (Basel) 2019 Apr 2;19(7). Epub 2019 Apr 2.

Robotics Institute, Carnegie Mellon University, Pittsburgh, PA 15217, USA.

Tracking maneuvering targets is a challenging problem for sensors because of the unpredictability of the target's motion. Unlike classical statistical modeling of target maneuvers, a simultaneous optimization and feedback learning algorithm for maneuvering target tracking based on the Elman neural network (ENN) is proposed in this paper. In the feedback strategy, a scale factor is learnt to adaptively tune the dynamic model's error covariance matrix, and in the optimization strategy, a corrected component of the state vector is learnt to refine the final state estimation. Read More

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http://dx.doi.org/10.3390/s19071596DOI Listing

New Approaches to Implementing the SmartJacket into Industry 4.0 .

Sensors (Basel) 2019 Apr 2;19(7). Epub 2019 Apr 2.

Brno University of Technology, Faculty of Electrical Engineering and Communication, 61600 Brno, Czech Republic.

The paper discusses the possibilities of incorporating sensors and indicators into the environment of an Industry 4.0 digital factory. The concept of Industry 4. Read More

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https://www.mdpi.com/1424-8220/19/7/1592
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http://dx.doi.org/10.3390/s19071592DOI Listing
April 2019
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Depth Map Upsampling via Multi-Modal Generative Adversarial Network.

Sensors (Basel) 2019 Apr 2;19(7). Epub 2019 Apr 2.

Department of Computer Science and Information Engineering, National Taiwan University of Science and Technology, Taipei 10607, Taiwan.

Autonomous robots for smart homes and smart cities mostly require depth perception in order to interact with their environments. However, depth maps are usually captured in a lower resolution as compared to RGB color images due to the inherent limitations of the sensors. Naively increasing its resolution often leads to loss of sharpness and incorrect estimates, especially in the regions with depth discontinuities or depth boundaries. Read More

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http://dx.doi.org/10.3390/s19071587DOI Listing

Research on the Surface Evolution of Single Crystal Silicon Mirror Contaminated by Metallic Elements during Elastic Jet Polishing Techniques.

Materials (Basel) 2019 Apr 2;12(7). Epub 2019 Apr 2.

College of Artificial Intelligence and Automation, National University of Defense Technology, 109 Deya Road, Changsha 410073, Hunan, China.

Metallic elements can contaminate single crystal silicon mirror during ion beam etching (IBE) and other postprocessing methods, which can affect the performance of components in an infrared laser system. In this work, scanning electron microscope (SEM) and atomic force microscope (AFM) were used to characterize the distribution of contaminant represented by aluminum (Al). After characterizing contaminated area, elastic jet polishing (EJP), EJP, and static alkaline etching (SAE) combined technique were used to process the mirror. Read More

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http://dx.doi.org/10.3390/ma12071077DOI Listing

On-line prediction of ferrous ion concentration in goethite process based on self-adjusting structure RBF neural network.

Neural Netw 2019 Mar 29;116:1-10. Epub 2019 Mar 29.

School of Automation, Central South University, Changsha City, 410083, China.

Outlet ferrous ion concentration is an essential indicator to manipulate the goethite process in the zinc hydrometallurgy plant. However, it cannot be measured on-line, which leads to the delay of this feedback information. In this study, a self-adjusting structure radial basis function neural network (SAS-RBFNN) is developed to predict the outlet ferrous ion concentration on-line. Read More

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http://dx.doi.org/10.1016/j.neunet.2019.03.007DOI Listing

Copan WASPLab automation significantly reduces incubation times and allows earlier culture readings.

Clin Microbiol Infect 2019 Apr 12. Epub 2019 Apr 12.

Bacteriology Laboratory, Division of Laboratory Medicine, Department of Diagnostics, Geneva University Hospitals, 4 rue Gabrielle-Perret-Gentil, 1205 Geneva, Switzerland; Genomic Research Laboratory, Division of Infectious Diseases, Department of Medical Specialities, Faculty of Medicine, Geneva, Switzerland.

Objective: to evaluate whether laboratory automation (inoculation and automated incubation combined with timely-defined high-resolution digital imaging) may help reducing the time required to obtain reliable culture analysis results.

Methods: we compared the results obtained by the WASPLab automation against WASP-based automated inoculation coupled to conventional incubation and manual diagnostic on 1294 clinical samples (483 for the derivation set and 811 for the independent validation set) that included urine, genital tract and non-sterile site specimens, as well as ESwabs for screening of MRSA, MSSA, ESBL, and CPE. We used sequential routine specimens referred to the bacteriology laboratory at Geneva University Hospitals between October 2018 and March 2019. Read More

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http://dx.doi.org/10.1016/j.cmi.2019.04.001DOI Listing

Dynamic visual guidance with complex task improves intracortical source activities during motor imagery.

Neuroreport 2019 Apr 12. Epub 2019 Apr 12.

Departments of Precision Instrument.

Motor imagery (MI) based brain-computer interfaces could be used clinically to trigger neurological recovery and improve motor function for patients with neural injuries. However, the factors that impact on MI performance and rehabilitative effect of MI-based brain-computer interfaces have not been characterized. According to our previous study, complex imagery tasks with dynamic visual paradigm could induce stronger MI features and obtain significantly higher average classification accuracy than nondynamic guidance. Read More

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http://dx.doi.org/10.1097/WNR.0000000000001251DOI Listing

Synthesis of Electron-Deficient Heteroaromatic 1,3-Substituted Cyclobutyls via Zinc Insertion/Negishi Coupling Sequence under Batch and Automated Flow Conditions.

Org Lett 2018 Dec 10;20(24):8022-8025. Epub 2018 Dec 10.

Global Chemistry, UCB New Medicines , UCB Biopharma SPRL , Avenue de l'industrie , 1420 Braine l'Alleud , Belgium.

Synthesis of 1,3-substituted cyclobutyls enabled by zinc insertion into functionalized iodocyclobutyl derivatives followed by Negishi coupling with halo-heteroaromatics is reported. Two distinct sets of conditions were developed; the first involved a two-step batch protocol using activated Rieke zinc, and the second involved a multistep continuous flow process. Both methods showed complementarity and allowed for rapid access to these medicinally relevant motifs, the possibility of scaling up, and automation for library synthesis. Read More

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http://dx.doi.org/10.1021/acs.orglett.8b03588DOI Listing
December 2018

A Molecular Hero Suit for In Vitro and In Vivo DNA Nanostructures.

Small 2019 Apr 15:e1805386. Epub 2019 Apr 15.

Department of Chemistry and Chemical Biology, Center for Biotechnology and Interdisciplinary Studies, Rensselaer Polytechnic Institute, Troy, NY, 12180, USA.

Precise control of DNA base pairing has rapidly developed into a field full of diverse nanoscale structures and devices that are capable of automation, performing molecular analyses, mimicking enzymatic cascades, biosensing, and delivering drugs. This DNA-based platform has shown the potential of offering novel therapeutics and biomolecular analysis but will ultimately require clever modification to enrich or achieve the needed "properties" and make it whole. These modifications total what are categorized as the molecular hero suit of DNA nanotechnology. Read More

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https://onlinelibrary.wiley.com/doi/abs/10.1002/smll.2018053
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http://dx.doi.org/10.1002/smll.201805386DOI Listing
April 2019
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Comparing the Relative Strengths of EEG and Low-Cost Physiological Devices in Modeling Attention Allocation in Semiautonomous Vehicles.

Front Hum Neurosci 2019 29;13:109. Epub 2019 Mar 29.

Department of Psychology, George Mason University, Fairfax, VA, United States.

As semiautonomous driving systems are becoming prevalent in late model vehicles, it is important to understand how such systems affect driver attention. This study investigated whether measures from low-cost devices monitoring peripheral physiological state were comparable to standard EEG in predicting lapses in attention to system failures. Twenty-five participants were equipped with a low-fidelity eye-tracker and heart rate monitor and with a high-fidelity NuAmps 32-channel quick-gel EEG system and asked to detect the presence of potential system failure while engaged in a fully autonomous lane changing driving task. Read More

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http://dx.doi.org/10.3389/fnhum.2019.00109DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6449700PMC

Integrated H filtering bumpless transfer control for switched linear systems.

ISA Trans 2019 Apr 1. Epub 2019 Apr 1.

School of Engineering, Dogus University, Istanbul, 34722, Turkey. Electronic address:

The integrated H filtering bumpless transfer control problem for switched linear systems is studied in this paper. The target is to attain the H filtering property of the switched linear systems via switchings, while reducing the control bumps induced by switchings. First, a novel description of the bumpless transfer performance is presented, quantifying the suppression level on the control bumps from both relative and absolute viewpoints. Read More

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http://dx.doi.org/10.1016/j.isatra.2019.03.025DOI Listing

Fusion of ULS Group Constrained High- and Low-Order Sparse Functional Connectivity Networks for MCI Classification.

Neuroinformatics 2019 Apr 13. Epub 2019 Apr 13.

Department of Radiology and BRIC, University of North Carolina at Chapel Hill, Chapel Hill, NC, 27599, USA.

Functional connectivity networks, derived from resting-state fMRI data, have been found as effective biomarkers for identifying mild cognitive impairment (MCI) from healthy elderly. However, the traditional functional connectivity network is essentially a low-order network with the assumption that the brain activity is static over the entire scanning period, ignoring temporal variations among the correlations derived from brain region pairs. To overcome this limitation, we proposed a new type of sparse functional connectivity network to precisely describe the relationship of temporal correlations among brain regions. Read More

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http://dx.doi.org/10.1007/s12021-019-09418-xDOI Listing

Ski-Everest (8848 m) Expedition: Digit Skin Temperature Responses to Cold Immersion May Reflect Susceptibility to Cold Injury.

Wilderness Environ Med 2019 Apr 9. Epub 2019 Apr 9.

Department of Automation, Biocybernetics and Robotics, Jožef Stefan Institute, Ljubljana, Slovenia; Department of Biomedical Physiology and Kinesiology, Simon Fraser University, Burnaby, Canada.

Introduction: We tested the hypothesis that individual susceptibility to freezing cold injury might be reflected in an attenuated cold-induced vasodilatation (CIVD) response by comparing the CIVD responses of an elite alpinist with a history of freezing cold injury in the feet (case alpinist) with those of an age- and ability- matched noninjured alpinists control group (controls). According to this hypothesis, the vasomotor responses to a CIVD test of the case alpinist would represent a pathophysiological response when compared with the normal physiological response of a noninjured cohort.

Methods: The case alpinist and the controls in the cohort group conducted a cold water immersion test comprising sequential immersion of a hand and foot for 5min in 35°C water, followed by a 30-min immersion in 8°C water and a 10-min recovery period in room air. Read More

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http://dx.doi.org/10.1016/j.wem.2019.01.002DOI Listing

Univariate and Multivariate Analysis of Phosphorus Element in Fertilizers Using Laser-Induced Breakdown Spectroscopy.

Sensors (Basel) 2019 Apr 11;19(7). Epub 2019 Apr 11.

Institute of Atomic and Molecular Physics, Anhui Normal University, Wuhu 241000, China.

Rapid detection of phosphorus (P) element is beneficial to the control of compound fertilizer production process and is of great significance in the fertilizer industry. The aim of this work was to compare the univariate and multivariate analysis of phosphorus element in compound fertilizers and obtain a reliable and accurate method for rapid detection of phosphorus element. A total of 47 fertilizer samples were collected from the production line; 36 samples were used as a calibration set, and 11 samples were used as a prediction set. Read More

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http://dx.doi.org/10.3390/s19071727DOI Listing

Asynchronous event-based sampling data for impulsive protocol on consensus of non-linear multi-agent systems.

Neural Netw 2019 Mar 27;115:90-99. Epub 2019 Mar 27.

School of Automation, Huazhong University of Science and Technology, and Key Laboratory of Image Processing and Intelligent Control of Education Ministry of China, Wuhan 430074, China. Electronic address:

In this paper, we discuss the consensus problem of non-linear multi-agent systems where an impulsive protocol with event-based asynchronously sampled data is adopted. Systems that communicate by data asynchronously sampled in limited time intervals are constructed. By separating time instants at which the sampling and communication occur into different ones, resources for such activations that every agent must execute can be reallocated to reduce the system load at communication instants. Read More

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http://dx.doi.org/10.1016/j.neunet.2019.03.009DOI Listing

A sample processing method for immunoassay of whole blood tacrolimus.

Anal Biochem 2019 Apr 10;576:13-19. Epub 2019 Apr 10.

Shanghai Genext Medical Technology Co., Ltd, Shanghai, 200433, China.

Current sample processing (SP) methods for tacrolimus (FK506) immunoassays are mainly based on extraction of drug by organic solvent and divalent metal ions. Although these methods are effective for drug extraction and interference elimination, they suffer from drawbacks including inconvenience for operation, difficulties for automation and potential measurement bias. To overcome these limitations, this study describes a new SP reagent for blood cell lysis and protein denaturation. Read More

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https://linkinghub.elsevier.com/retrieve/pii/S00032697193017
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http://dx.doi.org/10.1016/j.ab.2019.04.006DOI Listing
April 2019
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[Advances in microfluidic chip-based extracellular vesicle separation].

Se Pu 2019 Apr;37(4):343-347

Beijing Institute of Technology, Beijing 100081, China.

Extracellular vesicles (EVs) are hemispherical vesicles that have a lipid bilayer. Studies have shown that EVs have important biological functions. The amount, types, and compositional changes of proteins, lipids and ribonucleic acids are closely related to diseases. Read More

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http://dx.doi.org/10.3724/SP.J.1123.2018.11045DOI Listing
April 2019
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Multiparametric MRI-based radiomics analysis for prediction of breast cancers insensitive to neoadjuvant chemotherapy.

Clin Transl Oncol 2019 Apr 11. Epub 2019 Apr 11.

Department of Breast Cancer, Cancer Center, Guangdong Provincial People's Hospital and Guangdong Academy of Medical Sciences, Guangzhou, 510080, China.

Purpose: To evaluate the value of multiparametric magnetic resonance imaging (MRI) in pretreatment prediction of breast cancers insensitive to neoadjuvant chemotherapy (NAC).

Methods: A total of 125 breast cancer patients (63 in the primary cohort and 62 in the validation cohort) who underwent MRI before receiving NAC were enrolled. All patients received surgical resection, and Miller-Payne grading system was applied to assess the response to NAC. Read More

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http://dx.doi.org/10.1007/s12094-019-02109-8DOI Listing
April 2019
1.600 Impact Factor

Prognostic Value of Deep Learning PET/CT-based Radiomics: Potential Role for Future Individual Induction Chemotherapy in Advanced Nasopharyngeal Carcinoma.

Clin Cancer Res 2019 Apr 11. Epub 2019 Apr 11.

Department of Radiation Oncology, Sun Yat-sen University Cancer Center

Purpose: We aimed to evaluate the value of deep learning on PET/CT-based radiomics for individual induction chemotherapy (IC) in advanced nasopharyngeal carcinoma (NPC).

Experimental Design: We constructed radiomics signatures and nomogram for predicting disease-free survival (DFS) based on the extracted features from PET and CT images in training set (n=470), and then validated it on a test set (n=237). Harrell's concordance indices (C-index) and time-independent receiver operating characteristic (ROC) analysis were applied to evaluate the discriminatory ability of radiomics nomogram, and compare radiomics signatures with plasma Epstein-Barr virus (EBV) DNA. Read More

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http://dx.doi.org/10.1158/1078-0432.CCR-18-3065DOI Listing