61,364 results match your criteria Automation In Construction[Journal]


Transition and Dynamic Reconfiguration of Whole-Brain Network in Major Depressive Disorder.

Mol Neurobiol 2020 Jul 10. Epub 2020 Jul 10.

Research Center for Brain-inspired Intelligence and National Laboratory of Pattern Recognition, Institute of Automation, Chinese Academy of Sciences, Beijing, China.

Major depressive disorder (MDD) has been characterized by abnormal brain activity and interactions across the whole-brain functional networks. However, the underlying alteration of brain dynamics remains unclear. Here, we aim to investigate in detail the temporal dynamics of brain activity for MDD, and to characterize the spatiotemporal specificity of whole-brain networks and transitions across them. Read More

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http://dx.doi.org/10.1007/s12035-020-01995-2DOI Listing

Explaining the Attributes of a Deep Learning Based Intrusion Detection System for Industrial Control Networks.

Sensors (Basel) 2020 Jul 8;20(14). Epub 2020 Jul 8.

College of Computer Science, Faculty of Information Technology, Beijing University of Technology, Beijing 100124, China.

Intrusion detection is only the initial part of the security system for an industrial control system. Because of the criticality of the industrial control system, professionals still make the most important security decisions. Therefore, a simple intrusion alarm has a very limited role in the security system, and intrusion detection models based on deep learning struggle to provide more information because of the lack of explanation. Read More

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http://dx.doi.org/10.3390/s20143817DOI Listing

A Continuous Fiber-Reinforced Additive Manufacturing Processing Based on PET Fiber and PLA.

Materials (Basel) 2020 Jul 8;13(14). Epub 2020 Jul 8.

Kompetenzztentrum Holz Gmbh, Altenberger Straße 69, 4040 Linz, Austria.

Continuous fiber-reinforced manufacturing has many advantages, but the fabrication cost is high and its process is difficult to control. This paper presents a method for printing fiber-reinforced composite on the common fused filament fabrication (FFF) platform. Polylactic Acid (PLA) and Polyethylene terephthalate (PET) fibers are used as printing materials. Read More

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http://dx.doi.org/10.3390/ma13143044DOI Listing

Imaging with Optogenetically Engineered Living Cells as a Photodetector.

Adv Biosyst 2019 Aug 21;3(8):e1800319. Epub 2019 Jun 21.

State Key Laboratory of Robotics, Shenyang Institute of Automation, Chinese Academy of Sciences, Shenyang, 110016, China.

Biosyncretic systems integrating biological components with electromechanical devices have recently become a promising technology, in which biological components are used as actuators or sensing elements with higher-level performance than artificial systems. Here, a biosyncretic imaging system using an optogenetically engineered living cell as a photodetector is shown. The photoresponsive properties of the cell, such as spectrum and response range, dynamic characteristics, are measured and indicate that the cell functions as an excellent photodetector. Read More

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http://dx.doi.org/10.1002/adbi.201800319DOI Listing

SPATIALLY INFORMED CNN FOR AUTOMATED CONE DETECTION IN ADAPTIVE OPTICS RETINAL IMAGES.

Proc IEEE Int Symp Biomed Imaging 2020 Apr 22;2020:1383-1386. Epub 2020 May 22.

Department of Radiology, University of Pennsylvania, USA.

Adaptive optics (AO) scanning laser ophthalmoscopy offers cellular level in-vivo imaging of the human cone mosaic. Existing analysis of cone photoreceptor density in AO images require accurate identification of cone cells, which is a time and labor-intensive task. Recently, several methods have been introduced for automated cone detection in AO retinal images using convolutional neural networks (CNN). Read More

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http://dx.doi.org/10.1109/isbi45749.2020.9098455DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7345971PMC

[Contribution and limits of lean management in the organization and working of a pathology department].

Ann Pathol 2020 Jul 6. Epub 2020 Jul 6.

Service de Pathologie, CHU Dijon, Dijon, France; Plateforme de Génétique somatique des cancers de Bourgogne, CHU Dijon; UF d'innovation en Génétique et épigénétique des cancers solides et des hémopathies malignes, CHU Dijon, Dijon, France. Electronic address:

Introduction: In order to validate our strategy of continuous improvement and to identify new ways to increase performance, an evaluation of all the procedures was conducted in our department using the principles of lean management.

Material And Methods: Lean-6-sigma methodology (Gemba Walk, Value StreamMapping, spaghetti diagram, Kaizen workshop and priorization matrix) was used to analyze the procedures of the conventional and molecular sectors, and to identify bottlenecks, actions without added value and solutions.

Results: The audit identified bottlenecks in pre-analytical (registration), analytical (cytology, immunohistochemistry, sequencing, pathologists) and post-analytical processes (absence of secretaries, delivery of reports by mail). Read More

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http://dx.doi.org/10.1016/j.annpat.2020.06.012DOI Listing

Bearing fault diagnosis based on sparse representations using an improved OMP with adaptive Gabor sub-dictionaries.

ISA Trans 2020 Jul 3. Epub 2020 Jul 3.

PetroChina Southwest Oil and Gas Field Company Engineering & Technology Research Institute, Chengdu, Sichuan 610017, PR China.

To accurately extract fault signatures from noisy signals, an improved orthogonal matching pursuit (OMP) with adaptive Gabor sub-dictionaries is proposed in this paper. Firstly, based on the optimal time-frequency characteristics of Gabor atom, the Gabor sub-dictionaries that adaptively change with the residual signals and have low redundancy are designed for signal sparse representations. Then, an improved OMP is developed, in which the selection of each optimal atom only needs to calculate a small number of cross-correlation operations further calculated quickly by the fast Fourier transform. Read More

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http://dx.doi.org/10.1016/j.isatra.2020.07.004DOI Listing

A mobile app for Glaucoma diagnosis and its possible clinical applications.

BMC Med Inform Decis Mak 2020 Jul 9;20(Suppl 3):128. Epub 2020 Jul 9.

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

Background: Nowadays, the latent power of technology, which can offer innovative resolutions to disease diagnosis, has awakened high-level anticipation in the community of patients as well as professionals. An easy-to-use mobile app is developed by us, which is purposefully intended for those patients with glaucoma.

Methods: A mobile App has been invented for smartphones for the convenient use wherever and whenever. Read More

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http://dx.doi.org/10.1186/s12911-020-1123-2DOI Listing

Direct Comparison of Label-Free Biosensor Binding Kinetics Obtained on the Biacore 8K and the Carterra LSA.

SLAS Discov 2020 Jul 10:2472555220934814. Epub 2020 Jul 10.

ImmunoPrecise Antibodies Ltd., ND, USA.

Funding pressure on the pharmaceutical industry to deliver new medicines to the market under aggressive timelines has led to a demand for analytical tools with higher detection sensitivity, increased throughput, and automation to speed up research and discovery efforts and converge upon clinically fit leads faster. In the quest for therapeutic antibodies, the early adoption of interaction analysis platforms utilizing surface plasmon resonance (SPR) detection provides insightful molecular-level information about the binding properties of antibody libraries that are key to understanding an antibody's mechanism of action and can guide the library-to-leads triage. Here, we sought to compare the binding kinetics obtained on two state-of-the-art high-throughput SPR platforms in an independent study conducted by unrelated groups located on different continents. Read More

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http://dx.doi.org/10.1177/2472555220934814DOI Listing

Evaluation of environmental impacts for future influent scenarios using a model-based approach.

Water Sci Technol 2020 Apr;81(8):1615-1622

IVL Swedish Environmental Research Institute, Stockholm, Sweden E-mail: Division of Industrial Electrical Engineering and Automation (IEA), Department of Biomedical Engineering, Lund University, Lund, Sweden.

Changes in dilution of wastewater to a treatment plant due to infiltration or surface runoff can have a great impact on treatment process performance. This paper presents a model-based approach in which realistic influent scenarios are generated and used as inputs to a dynamic plant-wide process model of the wastewater treatment plant. The simulated operation is subsequently evaluated using life-cycle assessment (LCA) to quantify the environmental impacts of the future influent scenarios. Read More

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http://dx.doi.org/10.2166/wst.2020.183DOI Listing

Modelling heat recovery potential from household wastewater.

Water Sci Technol 2020 Apr;81(8):1597-1605

Division of Industrial Electrical Engineering and Automation, Lund University, Ole Römers väg 1, Lund, Sweden E-mail:

There is a strongly growing interest for wastewater heat recovery (WWHR) in Sweden and elsewhere, but a lack of adequate tools to determine downstream impacts due to the associated temperature drop. The heat recovery potential and associated temperature drop after heat recovery on a building level is modelled for a case study in Linköping, Sweden. The maximum temperature drop reaches 4. Read More

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http://dx.doi.org/10.2166/wst.2020.103DOI Listing

Identification of behavioural model input data sets for WWTP uncertainty analysis.

Water Sci Technol 2020 Apr;81(8):1558-1568

Process and Systems Engineering Center (PROSYS), Department of Chemical and Biochemical Engineering, Technical University of Denmark, 2800 Kgs, Lyngby, Denmark.

Uncertainty analysis is important for wastewater treatment plant (WWTP) model applications. An important aspect of uncertainty analysis is the identification and proper quantification of sources of uncertainty. In this contribution, a methodology to identify an ensemble of behavioural model representations (combinations of input data, model structure and parameter values) is presented and evaluated. Read More

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http://dx.doi.org/10.2166/wst.2019.427DOI Listing

Switching the activity of Taq polymerase using clamp-like triplex aptamer structure.

Nucleic Acids Res 2020 Jul 9. Epub 2020 Jul 9.

Key Laboratory of Image Information Processing and Intelligent Control of Education Ministry of China, School of Artificial Intelligence and Automation, Huazhong University of Science and Technology, Wuhan, Hubei 430074, China.

In nature, allostery is the principal approach for regulating cellular processes and pathways. Inspired by nature, structure-switching aptamer-based nanodevices are widely used in artificial biotechnologies. However, the canonical aptamer structures in the nanodevices usually adopt a duplex form, which limits the flexibility and controllability. Read More

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http://dx.doi.org/10.1093/nar/gkaa581DOI Listing

Mammographic density and breast cancer screening.

Authors:
R J Bell

Climacteric 2020 Jul 8:1-6. Epub 2020 Jul 8.

Women's Health Research Program, School of Public Health and Preventive Medicine, Monash University, Melbourne, Victoria, Australia.

Mammographic density, which is determined by the relative amounts of fibroglandular tissue and fat in the breast, varies between women. Mammographic density is associated with a range of factors, including age and body mass index. The description of mammographic density has been transformed by the digitalization of mammography, which has allowed automation of the assessment of mammographic density, rather than using visual inspection by a radiologist. Read More

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http://dx.doi.org/10.1080/13697137.2020.1785418DOI Listing

Systematic Optimization of the iMALDI Workflow for the Robust and Straightforward Quantification of Signalling Proteins in Cancer Cells.

Proteomics Clin Appl 2020 Jul 8:e2000034. Epub 2020 Jul 8.

University of Victoria-Genome BC Proteomics Centre, University of Victoria, Victoria, BC, V8Z 7 × 8, Canada.

Purpose: Immuno-MALDI (iMALDI) combines immuno-enrichment of biomarkers with MALDI-MS for fast, precise, and specific quantitation, making it a valuable tool for developing clinical assays. iMALDI assays were optimized for the PI3-kinase signalling pathway members Phosphatase and TENsin homolog (PTEN) and PI3-kinase catalytic subunit alpha (p110α), with regard to sensitivity, robustness, and throughput. A standardized template for developing future iMALDI assays, including automation protocols to streamline assay development and translation, is provided. Read More

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http://dx.doi.org/10.1002/prca.202000034DOI Listing

Performance of the Hologic Panther Fusion® MRSA Assay for the nasal screening of methicillin-sensitive and methicillin-resistant Staphylococcus aureus carriage.

Eur J Clin Microbiol Infect Dis 2020 Jul 8. Epub 2020 Jul 8.

Laboratoire de Bactériologie, Centre National de Référence des Staphylocoques, Institut des Agents infectieux, Hospices Civils de Lyon, Lyon, France.

Staphylococcus aureus (SA) nasal carriage screening is usually based on either culture or molecular biology. The aim of the study was to evaluate the performance of the Panther Fusion® MRSA Assay (PF) that proposes a complete automation of the molecular screening for MSSA and MRSA carriage. Four hundred thirty-four nasal samples collected on ESwab™ were screened using PF. Read More

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http://dx.doi.org/10.1007/s10096-020-03968-8DOI Listing

Smart water quality monitoring system with cost-effective using IoT.

Heliyon 2020 Jul 1;6(7):e04096. Epub 2020 Jul 1.

Department of Electronics and Communication Engineering Chaitanya Bharathi Institute of Technology, Hyderabad (TS), India.

Wireless communication developments are creating new sensor capabilities. The current developments in the field of sensor networks are critical for environmental applications. Internet of Things (IoT) allows connections among various devices with the ability to exchange and gather data. Read More

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http://dx.doi.org/10.1016/j.heliyon.2020.e04096DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7334377PMC

Radiomics Analysis of Computed Tomography helps predict poor prognostic outcome in COVID-19.

Theranostics 2020 5;10(16):7231-7244. Epub 2020 Jun 5.

College of Medicine and Biomedical Information Engineering, Northeastern University, Shenyang, Liaoning, 110819, China.

Given the rapid spread of COVID-19, an updated risk-stratify prognostic tool could help clinicians identify the high-risk patients with worse prognoses. We aimed to develop a non-invasive and easy-to-use prognostic signature by chest CT to individually predict poor outcome (death, need for mechanical ventilation, or intensive care unit admission) in patients with COVID-19. From November 29, 2019 to February 19, 2020, a total of 492 patients with COVID-19 from four centers were retrospectively collected. Read More

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http://dx.doi.org/10.7150/thno.46428DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7330838PMC
June 2020
7.827 Impact Factor

Hybrid plasmonic nano-emitters with controlled single quantum emitter positioning on the local excitation field.

Nat Commun 2020 Jul 8;11(1):3414. Epub 2020 Jul 8.

Light, nanomaterials, nanotechnologies (L2n) Laboratory, CNRS ERL 7004, University of Technology of Troyes, 12 rue Marie Curie, 10004, Troyes, France.

Hybrid plasmonic nano-emitters based on the combination of quantum dot emitters (QD) and plasmonic nanoantennas open up new perspectives in the control of light. However, precise positioning of any active medium at the nanoscale constitutes a challenge. Here, we report on the optimal overlap of antenna's near-field and active medium whose spatial distribution is controlled via a plasmon-triggered 2-photon polymerization of a photosensitive formulation containing QDs. Read More

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http://dx.doi.org/10.1038/s41467-020-17248-8DOI Listing

Laboratory-scale hydraulic fracturing dataset for benchmarking of enhanced geothermal system simulation tools.

Sci Data 2020 Jul 8;7(1):220. Epub 2020 Jul 8.

Institute for Applied Geophysics and Geothermal Energy, RWTH Aachen University, Aachen, Germany.

Successful design of enhanced geothermal systems (EGSs) requires accurate numerical simulation of hydraulic stimulation processes in the subsurface. To ensure correct prediction, the underlying model assumptions and constitutive relationships of simulators need to be verified against experimental datasets. With the aim of generating laboratory-scale benchmark datasets, a state-of-the-art testing facility was developed, allowing for experiments under controlled conditions. Read More

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http://dx.doi.org/10.1038/s41597-020-0564-xDOI Listing

A CT-based radiomics nomogram for prediction of lung adenocarcinomas and granulomatous lesions in patient with solitary sub-centimeter solid nodules.

Cancer Imaging 2020 Jul 8;20(1):45. Epub 2020 Jul 8.

Department of Radiology, The Fifth Affiliated Hospital of Sun Yat-sen University, Zhuhai, Guangdong Province, 519000, People's Republic of China.

Purpose: To develop a radiomics nomogram based on computed tomography (CT) images that can help differentiate lung adenocarcinomas and granulomatous lesions appearing as sub-centimeter solid nodules (SCSNs).

Materials And Methods: The records of 214 consecutive patients with SCSNs that were surgically resected and histologically confirmed as lung adenocarcinomas (n = 112) and granulomatous lesions (n = 102) from 2 medical institutions between October 2011 and June 2019 were retrospectively analyzed. Patients from center 1 ware enrolled as training cohort (n = 150) and patients from center 2 were included as external validation cohort (n = 64), respectively. Read More

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http://dx.doi.org/10.1186/s40644-020-00320-3DOI Listing

Noninvasive model for predicting future ischemic strokes in patients with silent lacunar infarction using radiomics.

BMC Med Imaging 2020 Jul 8;20(1):77. Epub 2020 Jul 8.

Department of Neurology, Zhuhai Hospital Affiliated with Jinan University, No. 79 Kangning Road, Zhuhai, 519000, Guangdong, China.

Background: This study aimed to investigate integrating radiomics with clinical factors in cranial computed tomography (CT) to predict ischemic strokes in patients with silent lacunar infarction (SLI).

Methods: Radiomic features were extracted from baseline cranial CT images of patients with SLI. A least absolute shrinkage and selection operator (LASSO)-Cox regression analysis was used to select significant prognostic factors based on Model with clinical factors, Model with radiomic features, and Model with both factors. Read More

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http://dx.doi.org/10.1186/s12880-020-00470-7DOI Listing

Foot-Mounted Pedestrian Navigation Method by Comparing ADR and Modified ZUPT Based on MEMS IMU Array.

Sensors (Basel) 2020 Jul 6;20(13). Epub 2020 Jul 6.

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 20444, China.

Using an MEMS Inertial Measurement Unit (MEMS IMU) array mounted on foot is a feasible approach to improve the pedestrian tracking accuracy for the pedestrian navigation system (PNS). Based on the in-house developed IMU array, the paper proposes a new integrated framework that combines adaptive deck reckoning (ADR) with the modified zero velocity update (ZUPT). In the proposed ADR algorithm, the IMUs with large drift errors on the array are selected and removed according to the step length and the track angle computed by each IMU on the array. Read More

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http://dx.doi.org/10.3390/s20133787DOI Listing

Charge-Transporting-Layer-Free, Vacuum-Free, All-Inorganic CsPbIBr Perovskite Solar Cells Via Dipoles-Adjusted Interface.

Nanomaterials (Basel) 2020 Jul 6;10(7). Epub 2020 Jul 6.

State Key Discipline Laboratory of Wide Band Gap Semiconductor Technology, School of Microelectronics, Xidian University, 2 South Taibai Road, Xi'an 710071, China.

The inorganic perovskite has a better stability than the hybrid halide perovskite, and at the same time it has the potential to achieve an excellent photoelectric performance as the organic-inorganic hybrid halide perovskite. Thus, the pursuit of a low-cost and high-performance inorganic perovskite solar cell (PSC) is becoming the research hot point in the research field of perovskite devices. In setting out to build vacuum-free and carbon-based all-inorganic PSCs with the traits of simple fabrication and low cost, we propose the ones with a simplified vertical structure of FTO/CsPbIBr/carbon upon interfacial modification with PEI species. Read More

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http://dx.doi.org/10.3390/nano10071324DOI Listing

Sensor Modeling and Calibration Method Based on Extinction Ratio Error for Camera-Based Polarization Navigation Sensor.

Sensors (Basel) 2020 Jul 6;20(13). Epub 2020 Jul 6.

School of Automation Science and Electrical Engineering, Beihang University, Beijing 100191, China.

The performance of camera-based polarization sensors largely depends on the estimated model parameters obtained through calibration. Limited by manufacturing processes, the low extinction ratio and inconsistency of the polarizer can reduce the measurement accuracy of the sensor. To account for the challenges, one extinction ratio coefficient was introduced into the calibration model to unify the light intensity of two orthogonal channels. Read More

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http://dx.doi.org/10.3390/s20133779DOI Listing

AutoPH4: An automated method for generating pharmacophore models from protein binding pockets.

J Chem Inf Model 2020 Jul 8. Epub 2020 Jul 8.

Pharmacophore models are widely used in computational drug discovery (e.g., in the virtual screening of drug molecules) to capture essential information about interactions between ligands and a target protein. Read More

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http://dx.doi.org/10.1021/acs.jcim.0c00121DOI Listing

Modeling, Instrumentation, Automation, and Optimization of Water Resource Recovery Facilities (2020) DIRECT.

Water Environ Res 2020 Jul 8. Epub 2020 Jul 8.

Cardno, 380 Park Place Blvd, Suite 300, Clearwater, Florida, 33759, United States.

A review of the literature published in 2019 on topics relating to water resource recovery facilities (WRRF) in the areas of modeling, automation, measurement and sensors and optimization of wastewater treatment (or water resource reclamation) is presented. Read More

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http://dx.doi.org/10.1002/wer.1394DOI Listing

Predicting response to immunotherapy in advanced non-small-cell lung cancer using tumor mutational burden radiomic biomarker.

J Immunother Cancer 2020 Jul;8(2)

Department of Thoracic Surgery, Tongji University Affiliated Shanghai Pulmonary Hospital, Shanghai, China

Background: Tumor mutational burden (TMB) is a significant predictor of immune checkpoint inhibitors (ICIs) efficacy. This study investigated the correlation between deep learning radiomic biomarker and TMB, including its predictive value for ICIs treatment response in patients with advanced non-small-cell lung cancer (NSCLC).

Methods: CT images from 327 patients with TMB data (TMB median=6. Read More

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http://dx.doi.org/10.1136/jitc-2020-000550DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7342823PMC

Noise-Adaptive Visible Light Communications Receiver for Automotive Applications: A Step Toward Self-Awareness.

Sensors (Basel) 2020 Jul 5;20(13). Epub 2020 Jul 5.

Department of Computers, Electronics and Automation, Stefan cel Mare University of Suceava, 720229 Suceava, Romania.

Visible light communications are considered as a promising solution for inter-vehicle communications, which in turn can significantly enhance the traffic safety and efficiency. However, the vehicular visible light communications (VLC) channel is highly dynamic, very unpredictable, and subject to many noise sources. Enhancing VLC systems with self-aware capabilities would maximize the communication performances and efficiency, whatever the environmental conditions. Read More

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http://dx.doi.org/10.3390/s20133764DOI Listing

Piezoelectric Energy Harvesting from Suspension Structures with Piezoelectric Layers.

Sensors (Basel) 2020 Jul 4;20(13). Epub 2020 Jul 4.

School of Mechatronic Engineering and Automation, Shanghai University, Shanghai 200444, China.

In this paper, we propose a generator for piezoelectric energy harvesting from suspension structures. This device consists of a leaf spring and eight pairs of piezoelectric layers attached to inner and outer surfaces. We present a special type of leaf spring, which can magnify the force from the workload to allow the piezoelectric layers to achieve larger deformation. Read More

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http://dx.doi.org/10.3390/s20133755DOI Listing

Sensor Signal and Information Processing II.

Authors:
Wai Lok Woo Bin Gao

Sensors (Basel) 2020 Jul 4;20(13). Epub 2020 Jul 4.

School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 610054, China.

This Special Issue compiles a set of innovative developments on the use of sensor signals and information processing. In particular, these contributions report original studies on a wide variety of sensor signals including wireless communication, machinery, ultrasound, imaging, and internet data, and information processing methodologies such as deep learning, machine learning, compressive sensing, and variational Bayesian. All these devices have one point in common: These algorithms have incorporated some form of computational intelligence as part of their core framework in problem solving. Read More

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http://dx.doi.org/10.3390/s20133751DOI Listing

Denoising Autoencoders and LSTM-Based Artificial Neural Networks Data Processing for Its Application to Internal Model Control in Industrial Environments-The Wastewater Treatment Plant Control Case.

Sensors (Basel) 2020 Jul 4;20(13). Epub 2020 Jul 4.

Advanced Systems for Automation and Control (ASAC) Group, Escola d'Enginyeria, Universitat Autònoma de Barcelona, 08193 Bellaterra, Spain.

The evolution of industry towards the Industry 4.0 paradigm has become a reality where different data-driven methods are adopted to support industrial processes. One of them corresponds to Artificial Neural Networks (ANNs), which are able to model highly complex and non-linear processes. Read More

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http://dx.doi.org/10.3390/s20133743DOI Listing

A deep learning MR-based radiomic nomogram may predict survival for nasopharyngeal carcinoma patients with stage T3N1M0.

Radiother Oncol 2020 Jul 4. Epub 2020 Jul 4.

CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, PR China; Beijing Advanced Innovation Center for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing 100191, PR China. Electronic address:

Purpose: To estimate the prognostic value of deep learning (DL) magnetic resonance (MR)-based radiomics for stage T3N1M0 nasopharyngeal carcinoma (NPC) patients receiving induction chemotherapy (ICT) prior to concurrent chemoradiotherapy (CCRT).

Methods: A total of 638 stage T3N1M0 NPC patients (training cohort: n = 447; test cohort: n = 191) were enrolled and underwent MRI scans before receiving ICT+CCRT. From the pretreatment MR images, DL-based radiomic signatures were developed to predict disease-free survival (DFS) in an end-to-end way. Read More

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http://dx.doi.org/10.1016/j.radonc.2020.06.050DOI Listing

What's Driving Me? Exploration and Validation of a Hierarchical Personality Model for Trust in Automated Driving.

Hum Factors 2020 Jul 6:18720820922653. Epub 2020 Jul 6.

98917 9189 Ulm University, Germany.

Objective: This paper presents a comprehensive investigation of personality traits related to trust in automated vehicles. A hierarchical personality model based on Mowen's (2000) 3M model is explored in a first and replicated in a second study.

Background: Trust in automation is established in a complex psychological process involving user-, system- and situation-related variables. Read More

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http://dx.doi.org/10.1177/0018720820922653DOI Listing

Development of simple and efficient Lab-on-a-Disc platforms for automated chemical cell lysis.

Sci Rep 2020 Jul 6;10(1):11039. Epub 2020 Jul 6.

Molecular Bank Iranian Biological Resource Center (IBRC), ACECR Tehran, Tehran, Iran.

Cell lysis is the most important first step for molecular biology and diagnostic testing. Recently, microfluidic systems have attracted considerable attention due to advantages associated with automation, integration and miniaturization, especially in resource-limited settings. In this work, novel centrifugal microfluidic platforms with new configurations for chemical cell lysis are presented. Read More

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http://dx.doi.org/10.1038/s41598-020-67995-3DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7338454PMC

News from a postpandemic world.

Science 2020 Jul 2;369(6499):26-29. Epub 2020 Jul 2.

Department of History and Philosophy of Science, University of Cambridge, Cambridge, Cambridgeshire, CB2 3RH, UK.

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http://dx.doi.org/10.1126/science.abd1320DOI Listing

Programmable µChopper Device with On-Chip Droplet Mergers for Continuous Assay Calibration.

Micromachines (Basel) 2020 Jun 25;11(6). Epub 2020 Jun 25.

Department of Chemistry and Biochemistry, Auburn University, Auburn, AL 36849, USA.

While droplet-based microfluidics is a powerful technique with transformative applications, most devices are passively operated and thus have limited real-time control over droplet contents. In this report, an automated droplet-based microfluidic device with pneumatic pumps and salt water electrodes was developed to generate and coalesce up to six aqueous-in-oil droplets (2.77 nL each). Read More

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http://dx.doi.org/10.3390/mi11060620DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC7344876PMC

Characterization of Low-Cost Capacitive Soil Moisture Sensors for IoT Networks.

Sensors (Basel) 2020 Jun 25;20(12). Epub 2020 Jun 25.

Dipartimento di Ingegneria, University of Perugia, via G. Duranti, 93, 06125 Perugia, Italy.

The rapid development and wide application of the IoT (Internet of Things) has pushed toward the improvement of current practices in greenhouse technology and agriculture in general, through automation and informatization. The experimental and accurate determination of soil moisture is a matter of great importance in different scientific fields, such as agronomy, soil physics, geology, hydraulics, and soil mechanics. This paper focuses on the experimental characterization of a commercial low-cost "capacitive" coplanar soil moisture sensor that can be housed in distributed nodes for IoT applications. Read More

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http://dx.doi.org/10.3390/s20123585DOI Listing

Degradation Monitoring of Insulation Systems Used in Low-Voltage Electromagnetic Coils under Thermal Loading Conditions from a Creep Point of View.

Sensors (Basel) 2020 Jul 1;20(13). Epub 2020 Jul 1.

Center for Advanced Life Cycle Engineering, University of Maryland, College Park, MD 20742, USA.

Electromagnetic coils are a key component in a variety of systems and are widely used in many industries. Because their insulation usually fails suddenly and can have catastrophic effects, degradation monitoring of coil insulation systems plays a vital role in avoiding unexpected machine shutdown. The existing insulation degradation monitoring methods are based on assessing the change of coil high-frequency electrical parameter response, whereas the effects of the insulation failure mechanisms are not considered, which leads to inconsistency between experimental results. Read More

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http://dx.doi.org/10.3390/s20133696DOI Listing

An enhanced bioindicator for calorimetric monitoring of prophage-activating chemicals in the trace concentration range.

Eng Life Sci 2018 Jul 1;18(7):475-483. Epub 2018 Jun 1.

Department of Environmental Microbiology UFZ-Helmholtz Centre for Environmental Research Leipzig Germany.

Viruses that infect bacteria (bacteriophages) can either lyse bacteria directly or integrate their genome into the bacterial genome. In the latter case, the viral genome (called prophage) remains dormant, and both phages and bacteria are able to survive in this state. But the silent prophages can be reactivated by, e. Read More

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http://dx.doi.org/10.1002/elsc.201800026DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999466PMC

Micro free-flow isoelectric focusing with integrated optical pH sensors.

Authors:
Stefan Nagl

Eng Life Sci 2018 Feb 2;18(2):114-123. Epub 2017 Aug 2.

Department of Chemistry The Hong Kong University of Science and Technology Kowloon Hong Kong SAR P. R. China.

Recently, a new observation method for monitoring of pH gradients in microfluidic free-flow electrophoresis has emerged. It is based on the use of chip-integrated fluorescent or luminescent micro sensor layers. These are able to monitor pH gradients in miniaturized separations in real time and spatially resolved; this is particularly useful in isoelectric focusing. Read More

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http://dx.doi.org/10.1002/elsc.201700035DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999435PMC
February 2018

A smart device application for the automated determination of colonies on agar plates.

Eng Life Sci 2017 Aug 28;17(8):959-966. Epub 2017 Aug 28.

Institute of Technical Chemistry Leibniz University Hannover Hannover Germany.

The manual counting of colonies on agar plates to estimate the number of viable organisms (so-called colony-forming units-CFUs) in a defined sample is a commonly used method in microbiological laboratories. The automation of this arduous and time-consuming process through benchtop devices with integrated image processing capability addresses the need for faster and higher sample throughput and more accuracy. While benchtop colony counter solutions are often bulky and expensive, we investigated a cost-effective way to automate the colony counting process with smart devices using their inbuilt camera features and a server-based image processing algorithm. Read More

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http://dx.doi.org/10.1002/elsc.201700056DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999497PMC

Detection of growth rate-dependent product formation in miniaturized parallel fed-batch cultivations.

Eng Life Sci 2017 Nov 29;17(11):1215-1220. Epub 2017 Aug 29.

Chair of Bioprocess Engineering Technische Universität Berlin Berlin Germany.

is a popular expression system for recombinant proteins. In most cases, production processes are performed as carbon-limited fed-batch cultures to avoid aerobic ethanol formation. Especially for constitutive expression systems, the specific product formation rate depends on the specific growth rate. Read More

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http://dx.doi.org/10.1002/elsc.201600029DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999230PMC
November 2017

Online bioprocess data generation, analysis, and optimization for parallel fed-batch fermentations in milliliter scale.

Eng Life Sci 2017 Nov 14;17(11):1195-1201. Epub 2016 Nov 14.

Chair of Bioprocess Engineering Institute of Biotechnology Technische Universität Berlin Berlin Germany.

Bioprocess development, optimization, and control in mini-bioreactor systems require information about essential process parameters, high data densities, and the ability to dynamically change process conditions. We present an integration approach combining a parallel mini-bioreactor system integrated into a liquid handling station (LHS) with a second LHS for offline analytics. Non-invasive sensors measure pH and DO online. Read More

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http://dx.doi.org/10.1002/elsc.201600035DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999281PMC
November 2017

Fast-track development of a lactase production process with by a progressive parameter-control workflow.

Eng Life Sci 2017 Nov 21;17(11):1185-1194. Epub 2016 Nov 21.

Bioprocess Engineering Department of Biotechnology Technische Universität Berlin Berlin Germany.

The time-to-market challenge is key to success for consumer goods affiliated industries. In recent years, the dairy industry faces a fast and constantly growing demand for enzymatically produced lactose-free milk products, mainly driven by emerging markets in South America and Asia. In order to take advantage of this opportunity, we developed a fermentation process for lactase (β-galactosidase) from within short time. Read More

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http://dx.doi.org/10.1002/elsc.201600031DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999484PMC
November 2017

Design of experiments-based high-throughput strategy for development and optimization of efficient cell disruption protocols.

Eng Life Sci 2017 Nov 5;17(11):1166-1172. Epub 2016 Oct 5.

Chair of Bioprocess Engineering, Institute of Biotechnology Technische Universität Berlin Berlin Germany.

Efficient and reproducible cell lysis is a crucial step during downstream processing of intracellular products. The composition of an optimal lysis buffer should be chosen depending on the organism, its growth status, the applied detection methods, and even the target molecule. Especially for high-throughput applications, where sample volumes are limited, the adaptation of a lysis buffer to the specific campaign is an urgent need. Read More

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http://dx.doi.org/10.1002/elsc.201600030DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999527PMC
November 2017

A scalable software framework for data integration in bioprocess development.

Eng Life Sci 2017 Nov 5;17(11):1159-1165. Epub 2016 Sep 5.

BU Life Science, infoteam Software AG Bubenreuth Germany.

Effectiveness in lab workflows-despite progresses made in automation and lab informatics-is often hindered by insufficient integration of devices and data. The iLAB software framework, a middleware connecting and integrating devices and data, provides a plugin architecture that can be adapted to individual lab environments. Integration of devices is preferably based on standardized data and communication protocols. Read More

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http://dx.doi.org/10.1002/elsc.201600008DOI Listing
http://www.ncbi.nlm.nih.gov/pmc/articles/PMC6999508PMC
November 2017

Pomegranate-like C@TiO2 mesoporous honeycomb spheres for high performance lithium ion batteries.

Nanotechnology 2020 Jul 6. Epub 2020 Jul 6.

College of Machinery and Automation, Zhejiang Sci-Tech University, Hangzhou, Zhejiang, CHINA.

Pomegranate-like C@TiO2 mesoporous honeycomb spheres have been synthesized through two simple steps: formation of TiO2 mesoporous honeycomb spheres, and the coating of polypyrrole followed by carbonization. TiO2 mesoporous honeycomb spheres are of large specific surface area of 153 m2 g-1 and abundant mesopores, which leads to high electrochemical activity and good kinetics performance of TiO2. A layer of amorphous carbon shell with the thickness of 30-40 nm tightly encapsulates a TiO2 mesoporous honeycomb sphere, forming novel pomegranate-like small sphere, which significantly improves electronic conductivity and structure stability of TiO2. Read More

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http://dx.doi.org/10.1088/1361-6528/aba302DOI Listing

Transport safety and human factors in the era of automation: What can transport modes learn from each other?

Accid Anal Prev 2020 Jul 3;144:105656. Epub 2020 Jul 3.

Delft University of Technology, Faculty of Technology, Policy and Management, Jaffalaan 5, 2628 BX, Delft, the Netherlands.

One of the main aims of introducing automation in transport is to improve safety by reducing or eliminating human errors; it is often argued however that this may induce new types of errors. There is different level of maturity with automation in different transport modes (road, aviation, maritime and rail), however no systematic research has been conducted on the lessons learned in different sectors, so that they can be exploited for the design of safer automated systems. The aim of this paper is to review the impact of key human factors on the safety of automated transport systems, with focus on relevant experiences from different transport sectors. Read More

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http://dx.doi.org/10.1016/j.aap.2020.105656DOI Listing