85,086 results match your criteria Automation And Remote Control[Journal]


Fancb deficiency causes premature ovarian insufficiency in mice†.

Biol Reprod 2022 May 20. Epub 2022 May 20.

State Key Laboratory of Stem Cell and Reproductive Biology, Institute of Zoology, Chinese Academy of Sciences, Beijing, China.

FANCB protein is a major component of the Fanconi anemia (FA) core complex and plays important role in hematopoiesis and germ cell development. Deletion of Fancb gene causes the defect of primordial germ cells (PGCs) development and infertility in male mice. However, it remains unknown whether Fancb is required for female germ cell development. Read More

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Methods and applications of full-filed optical coherence tomography: a review.

J Biomed Opt 2022 May;27(5)

Hangzhou DianZi University, School of Automation, Hangzhou, China.

Significance: Full-field optical coherence tomography (FF-OCT) enables en face views of scattering samples at a given depth with subcellular resolution, similar to biopsy without the need of sample slicing or other complex preparation. This noninvasive, high-resolution, three-dimensional (3D) imaging method has the potential to become a powerful tool in biomedical research, clinical applications, and other microscopic detection.

Aim: Our review provides an overview of the disruptive innovations and key technologies to further improve FF-OCT performance, promoting FF-OCT technology in biomedical and other application scenarios. Read More

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Evaluation of an ankle-foot orthosis effect on gait transitional stability during ramp ascent/descent.

Med Biol Eng Comput 2022 May 21. Epub 2022 May 21.

School of Mechanical Engineering, University of Leeds, Leeds, UK.

Wearable ankle-foot orthoses (AFO) are widely prescribed clinically; however, their effect on balance control during ramp ascent/descent walk remains unknown. This study evaluates walking stability on a ramp during weight loading and unloading transitions of the stance phase with the effect of an adjustable AFO. An AFO is tuned firstly by tuning dorsiflexion only and then combining dorsi-plantarflexion adjustments. Read More

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A lightweight deep learning model for automatic segmentation and analysis of ophthalmic images.

Sci Rep 2022 May 20;12(1):8508. Epub 2022 May 20.

Department of Ophthalmology, Tohoku University Graduate School of Medicine, Sendai, Japan.

Detection, diagnosis, and treatment of ophthalmic diseases depend on extraction of information (features and/or their dimensions) from the images. Deep learning (DL) model are crucial for the automation of it. Here, we report on the development of a lightweight DL model, which can precisely segment/detect the required features automatically. Read More

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Impedance-Enabled Camera-Free Intrinsic Mechanical Cytometry.

Small Methods 2022 May 20:e2200325. Epub 2022 May 20.

State Key Laboratory of Precision Measurement Technology and Instrument, Department of Precision Instrument, Tsinghua University, Beijing, 100084, P. R. China.

Mechanical properties of single cells are important label-free biomarkers normally measured by expensive and complex imaging systems. To unlock this limit and allow mechanical properties comparable across different measurement platforms, camera-free intrinsic mechanical cytometry (CFIMC) is proposed for on-the-fly measurement of two major intrinsic mechanical parameters, that is, Young's modulus E and fluidity β, of single cells. CFIMC adopts a framework that couples the impedance electrodes with the constriction channel spatially, so that the impedance signals contain the dynamic deformability information of the cell squeezing through the constriction channel. Read More

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The Discovery of Novel Circulating Cancer-Related Cells in Circulation Poses New Challenges to Microfluidic Devices for Enrichment and Detection.

Small Methods 2022 May 20:e2200226. Epub 2022 May 20.

State Key Laboratory of Transducer Technology, Shanghai Institute of Microsystem and Information Technology, Chinese Academy of Sciences, Shanghai, 200050, China.

Circulating tumor cells (CTCs) enumeration has been widely used as a surrogate predictive marker for early diagnoses, the evaluation of chemotherapy efficacy, and cancer prognosis. Microfluidic technologies for CTCs enrichment and detection have been developed and commercialized as automation platforms. Currently, in addition to CTCs, some new types of circulating cancer-related cells (e. Read More

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Open Hardware in Science: The Benefits of Open Electronics.

Integr Comp Biol 2022 May 20. Epub 2022 May 20.

Chapman University, Environmental Science and Policy Program, 1 University Drive, Orange, CA 92866, USA.

Openly shared low-cost electronic hardware applications, known as open electronics, have sparked a new open-source movement, with much untapped potential to advance scientific research. Initially designed to appeal to electronic hobbyists, open electronics have formed a global "maker" community and are increasingly used in science and industry. In this perspective article we review the current costs and benefits of open electronics for use in scientific research ranging from the experimental to the theoretical sciences. Read More

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Renewable sorbent dispersive solid phase extraction automated by Lab-In-Syringe using magnetite-functionalized hydrophilic-lipophilic balanced sorbent coupled online to HPLC for determination of surface water contaminants.

Anal Chim Acta 2022 Jun 26;1210:339874. Epub 2022 Apr 26.

Department of Analytical Chemistry, Faculty of Pharmacy in Hradec Králové, Charles University, Akademika Heyrovského 1203, Hradec Králové, 500 05, Czech Republic. Electronic address:

An automated methodology for magnetic dispersive solid phase microextraction integrating bead injection approach for renewable sorbent introduction is presented for the first time and was successfully applied to the enrichment of water contaminants. For this purpose, a simple procedure was developed for the functionalization of commercial SupelTM-Select HLB (Hydrophilic modified styrene polymer) sorbent beads that allowed embedding magnetite nanoparticles (FeO). The sorbent was then used in a dispersive solid phase extraction procedure that was carried out entirely inside the void of an automatic syringe pump following the flow-batch concept of Lab-In-Syringe including automated renewal of the sorbent for each analysis. Read More

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A Hybrid Design of Fault Detection for Nonlinear Systems Based on Dynamic Optimization.

IEEE Trans Neural Netw Learn Syst 2022 May 20;PP. Epub 2022 May 20.

To ensure the safety of an automation system, fault detection (FD) has become an active research topic. With the development of artificial intelligence, model-free FD strategies have been widely investigated over the past 20 years. In this work, a hybrid FD design approach that combines data-driven and model-based is developed for nonlinear dynamic systems whose information is not known beforehand. Read More

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Automation to improve lung protection.

Intensive Care Med 2022 May 20. Epub 2022 May 20.

Department of Intensive Care, Amsterdam University Medical Centers, location 'AMC', Amsterdam, The Netherlands.

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Innovative Sensor Technology for Emergency Detection in Life Science Laboratories.

Stud Health Technol Inform 2022 May;291:62-87

Institute of Automation, University Rostock.

Chemical, analytical and biological laboratories use a variety of different solvents and gases. Many of these compounds are harmful or even toxic to laboratory personnel. Permanent monitoring of the air quality is therefore of great importance regarding the greatest possible occupational safety and the detection of dangerous situations in the work process. Read More

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Machine Learning on a Robotic Platform for the Design of Polymer-Protein Hybrids.

Adv Mater 2022 May 20:e2201809. Epub 2022 May 20.

Department of Biomedical Engineering, Rutgers, The State University of New Jersey, Piscataway, New Jersey, 08854, USA.

Polymer-protein hybrids are intriguing materials that can bolster protein stability in non-native environments, thereby enhancing their utility in diverse medicinal, commercial, and industrial applications. One stabilization strategy involves designing synthetic random copolymers with compositions attuned to the protein surface, but rational design is complicated by a vast chemical and composition space. Here, a strategy is reported to design protein-stabilizing copolymers based on active machine learning, facilitated by automated material synthesis and characterization platforms. Read More

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Modeling Medical Guidelines by Prova and SHACL Accessing FHIR/RDF. Use Case: The Medical ABCDE Approach.

Stud Health Technol Inform 2022 May;293:59-66

Fraunhofer FOKUS, Berlin, Germany.

Decision-making based on so-called medical guidelines supported by semantic AI solutions is an essential and significant task for medical personnel in both a pre-clinical setting and an inner-clinical environment. Semantic representations of medical guidelines and Fast Healthcare Interoperability Resources (FHIR) using Semantic Web technologies, i.e. Read More

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PRKAR1A and SDCBP Serve as Potential Predictors of Heart Failure Following Acute Myocardial Infarction.

Front Immunol 2022 3;13:878876. Epub 2022 May 3.

Department of Cardiology, Beijing Key Laboratory of Early Prediction and Intervention of Acute Myocardial Infarction, Center for Cardiovascular Translational Research, Peking University People's Hospital, Beijing, China.

Background And Objectives: Early diagnosis of patients with acute myocardial infarction (AMI) who are at a high risk of heart failure (HF) progression remains controversial. This study aimed at identifying new predictive biomarkers of post-AMI HF and at revealing the pathogenesis of HF involving these marker genes.

Methods And Results: A transcriptomic dataset of whole blood cells from AMI patients with HF progression (post-AMI HF, n = 16) and without progression (post-AMI non-HF, n = 16) was analyzed using the weighted gene co-expression network analysis (WGCNA). Read More

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Structure Formation in Antifriction Composites with a Nickel Matrix and Its Effect on Properties.

Materials (Basel) 2022 May 9;15(9). Epub 2022 May 9.

Department of Mechanics, Materials and Biomedical Engineering, Faculty of Mechanical Engineering, Wroclaw University of Science and Technology, 27 Wyspianskiego Str., 50-370 Wroclaw, Poland.

The paper is devoted to studying the chemical elements distribution in the material's structure depending on the manufacturing technological parameters and their effect on properties of a new self-lubricating antifriction composite based on powder nickel alloy EP975 with CaF solid lubricant for operation at temperature 800 °C and loads up to 5.0 MPa, in air. The study is focused on the features of alloying elements distribution in the composite matrix, which depends on the manufacturing technology. Read More

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Influence of Varying Tensile Stress on Domain Motion.

Materials (Basel) 2022 May 9;15(9). Epub 2022 May 9.

School of Automation Engineering, University of Electronic Science and Technology of China, Chengdu 611731, China.

Magnetic domain motion has been widely studied in the fields of spintronics, nanowires, and thin films. However, there is a lack of such studies on industrial steels, especially for domain motion under the action of varying stress. Understanding domain motion under stress is helpful for the improvement of evaluation accuracy and the establishment of theoretical models of passive, nondestructive testing technology. Read More

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The Synthesis Methodology and Characterization of Nanogold-Coated FeO Magnetic Nanoparticles.

Materials (Basel) 2022 May 9;15(9). Epub 2022 May 9.

Department of Chemotherapy, Medical University of Lodz, WWCOiT Copernicus Hospital, 90-001 Lodz, Poland.

Core-shell nanostructures are widely used in many fields, including medicine and the related areas. An example of such structures are nanogold-shelled FeO magnetic nanoparticles. Systems consisting of a magnetic core and a shell made from nanogold show unique optical and magnetic properties. Read More

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The Use of Barley Malt as a Binder in Molding Sand Technology.

Materials (Basel) 2022 May 8;15(9). Epub 2022 May 8.

Faculty of Technical and Economic Sciences, Witelon Collegium State University, Sejmowa 5A, 59-220 Legnica, Poland.

The aim of this study was to attempt to use barley malt as a natural, organic binder in the technology of molding sand. TGA analysis of the binder was performed, during which temperatures of thermal decomposition of its components were determined. The results of TG/DTG analysis show that a loss of ~75% of mass of the MB binder is organic matter. Read More

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Multiobjective Optimization of Laser Polishing of Additively Manufactured Ti-6Al-4V Parts for Minimum Surface Roughness and Heat-Affected Zone.

Materials (Basel) 2022 May 5;15(9). Epub 2022 May 5.

Institute for Applied Materials-Applied Materials Physics, Karlsruhe Institute of Technology, P.O. Box 3640, 76021 Karlsruhe, Germany.

Metal parts produced by additive manufacturing often require postprocessing to meet the specifications of the final product, which can make the process chain long and complex. Laser post-processes can be a valuable addition to conventional finishing methods. Laser polishing, specifically, is proving to be a great asset in improving the surface quality of parts in a relatively short time. Read More

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Wear Resistance and Biocompatibility of Co-Cr Dental Alloys Fabricated with CAST and SLM Techniques.

Materials (Basel) 2022 May 2;15(9). Epub 2022 May 2.

Department of Oral Prosthodontics, School of Stomatology, Dalian Medical University, Lvshun South Road, Dalian 116044, China.

Cobalt-chromium (Co-Cr) alloys have been widely used as dental-restoration materials for many years. This study sought to investigate whether selective laser melting (SLM) is a more appropriate process than traditional casting (CAST) for fabricating dental Co-Cr alloys. Metallurgical microscopy, X-ray photoelectron spectroscopy (XPS), Vickers hardness and nanoindentation tests, and friction and wear tests were used to evaluate the microstructure, surface compositions, mechanical properties, and wear resistance, respectively. Read More

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Automated Development of an Accurate Diffusion Database in Fcc AlCoCrFeNi High-Entropy Alloys from a Big Dataset of Composition Profiles.

Materials (Basel) 2022 Apr 30;15(9). Epub 2022 Apr 30.

State Key Laboratory of Powder Metallurgy, Central South University, Changsha 410083, China.

This study aims to incorporate a big dataset of composition profiles of fcc AlCoCrFeNi alloys, in addition to those of the related subsystem, to develop a self-consistent kinetic description for quinary high-entropy alloys. The latest feature of the HitDIC (gh-hroughput etermination of nterdiffusion oefficients) code was adopted in a high-throughput and automatic manner for accommodating a dataset of composition profiles with up to 87 diffusion couples. A good convergence for the optimization process was achieved, while satisfactory results regarding the composition profiles and previously evaluated diffusion properties were obtained. Read More

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Research on Fast Recognition and Localization of an Electric Vehicle Charging Port Based on a Cluster Template Matching Algorithm.

Sensors (Basel) 2022 May 9;22(9). Epub 2022 May 9.

School of Mechatronics Engineering, Harbin Institute of Technology, Harbin 150001, China.

With the gradual maturity of driverless and automatic parking technologies, electric vehicle charging has been gradually developing in the direction of automation. However, the pose calculation of the charging port (CP) is an important part of realizing automatic charging, and it represents a problem that needs to be solved urgently. To address this problem, this paper proposes a set of efficient and accurate methods for determining the pose of an electric vehicle CP, which mainly includes the search and aiming phases. Read More

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Efficient Path Planning for Mobile Robot Based on Deep Deterministic Policy Gradient.

Sensors (Basel) 2022 May 8;22(9). Epub 2022 May 8.

Information Science and Electrical Engineering, Shandong Jiao Tong University, Jinan 250357, China.

When a traditional Deep Deterministic Policy Gradient (DDPG) algorithm is used in mobile robot path planning, due to the limited observable environment of mobile robots, the training efficiency of the path planning model is low, and the convergence speed is slow. In this paper, Long Short-Term Memory (LSTM) is introduced into the DDPG network, the former and current states of the mobile robot are combined to determine the actions of the robot, and a Batch Norm layer is added after each layer of the Actor network. At the same time, the reward function is optimized to guide the mobile robot to move faster towards the target point. Read More

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Prediction Techniques on FPGA for Latency Reduction on Tactile Internet.

Sensors (Basel) 2022 May 7;22(9). Epub 2022 May 7.

Laboratory of Machine Learning and Intelligent Instrumentation, Federal University of Rio Grande do Norte, Natal 59078-970, Brazil.

Tactile Internet (TI) is a new internet paradigm that enables sending touch interaction information and other stimuli, which will lead to new human-to-machine applications. However, TI applications require very low latency between devices, as the system's latency can result from the communication channel, processing power of local devices, and the complexity of the data processing techniques, among others. Therefore, this work proposes using dedicated hardware-based reconfigurable computing to reduce the latency of prediction techniques applied to TI. Read More

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Design of Hardware and Software Equipment for Monitoring Selected Operating Parameters of the Irrigator.

Sensors (Basel) 2022 May 6;22(9). Epub 2022 May 6.

Department of Agricultural, Food and Environmental Engineering, Faculty of AgriSciences, Mendel University in Brno, Zemědělská 1, 61300 Brno, Czech Republic.

The aim of this paper was to design a device for monitoring the work of irrigation technology (in our case, irrigation by sprinkler). Two devices for monitoring selected irrigation operating parameters for two hose reel irrigation machines were designed. During the monitored period of connection of the equipment to the sprinkler, 15 irrigation doses were carried out for both sprinklers. Read More

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Single-Phase Grounding Fault Types Identification Based on Multi-Feature Transformation and Fusion.

Sensors (Basel) 2022 May 5;22(9). Epub 2022 May 5.

College of Automation, Chongqing University, Chongqing 400044, China.

The frequent occurrence of single-phase grounding faults affects the reliable operation of power systems. When a single-phase grounding fault occurs, it is difficult to accurately identify the fault type because of the weak characterization and subtle distinction between different fault types. Therefore, this paper proposes a single-phase grounding fault type identification method based on the multi-feature transformation and fusion. Read More

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Rainfall Prediction System Using Machine Learning Fusion for Smart Cities.

Sensors (Basel) 2022 May 4;22(9). Epub 2022 May 4.

John von Neumann Faculty of Informatics, Obuda University, 1034 Budapest, Hungary.

Precipitation in any form-such as rain, snow, and hail-can affect day-to-day outdoor activities. Rainfall prediction is one of the challenging tasks in weather forecasting process. Accurate rainfall prediction is now more difficult than before due to the extreme climate variations. Read More

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A Soft Multi-Axis High Force Range Magnetic Tactile Sensor for Force Feedback in Robotic Surgical Systems.

Sensors (Basel) 2022 May 4;22(9). Epub 2022 May 4.

Institute for Integrated Micro and Nano Systems, School of Engineering, University of Edinburgh, Scottish Microelectronics Centre, Edinburgh EH9 3FF, UK.

This paper presents a multi-axis low-cost soft magnetic tactile sensor with a high force range for force feedback in robotic surgical systems. The proposed sensor is designed to fully decouple the output response for normal, shear and angular forces. The proposed sensor is fabricated using rapid prototyping techniques and utilizes Neodymium magnets embedded in an elastomer over Hall sensors such that their displacement produces a voltage change that can be used to calculate the applied force. Read More

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Future Wireless Communication Technology towards 6G IoT: An Application-Based Analysis of IoT in Real-Time Location Monitoring of Employees Inside Underground Mines by Using BLE.

Sensors (Basel) 2022 Apr 30;22(9). Epub 2022 Apr 30.

Faculty of Telecommunications, Technical University of Sofia, 1756 Sofia, Bulgaria.

In recent years, the IoT has emerged as the most promising technology in the key evolution of industry 4.0/industry 5.0, smart home automation (SHA), smart cities, energy savings and many other areas of wireless communication. Read More

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An Efficient Lightweight SAR Ship Target Detection Network with Improved Regression Loss Function and Enhanced Feature Information Expression.

Sensors (Basel) 2022 Apr 30;22(9). Epub 2022 Apr 30.

College of Automation, Chongqing University of Posts and Telecommunications, Chongqing 400065, China.

It is difficult to identify the ship images obtained by a synthetic aperture radar (SAR) due to the influence of dense ships, complex background and small target size, so a deep learning-based target detection algorithm was introduced to obtain better detection performance. However, in order to achieve excellent performance, most of the current target detection algorithms focus on building deep and high-width neural networks, resulting in bloated network structure and reduced detection speed, which is not conducive to the practical application of target detection algorithms. Thereby, an efficient lightweight network Efficient-YOLO for ship detection in complex situations is proposed in the present work. Read More

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