74,898 results match your criteria Automation And Remote Control[Journal]


A framework for modeling bioimpedance measurements of nonhomogeneous tissues: a theoretical and simulation study.

Physiol Meas 2021 May 13. Epub 2021 May 13.

Electrical and Computer Engineering, The University of Utah, 36 S Wasatch Drive, Salt Lake City, Utah, 84112-9057, UNITED STATES.

Objective: Bioimpedance technology is experiencing an increased use to assess health in a wide range of new consumer, research and clinical applications. However, the interaction between tissues producing bioimpedance data is often unclear.

Methods: This work provides a novel theoretical framework to model bioimpedance measurements of nonhomogeneous tissues. Read More

View Article and Full-Text PDF

Probabilistic learning vector quantization on manifold of symmetric positive definite matrices.

Neural Netw 2021 Apr 28;142:105-118. Epub 2021 Apr 28.

Institute of Marine Electronics and Intelligent Systems, Ocean College, Zhejiang University, The Key Laboratory of Ocean Observation-Imaging Testbed of Zhejiang Province, The Engineering Research Center of Oceanic Sensing Technology and Equipment, Ministry of Education, Zhoushan, 316021, China. Electronic address:

In this paper, we develop a new classification method for manifold-valued data in the framework of probabilistic learning vector quantization. In many classification scenarios, the data can be naturally represented by symmetric positive definite matrices, which are inherently points that live on a curved Riemannian manifold. Due to the non-Euclidean geometry of Riemannian manifolds, traditional Euclidean machine learning algorithms yield poor results on such data. Read More

View Article and Full-Text PDF

HisPhosSite: A comprehensive database of histidine phosphorylated proteins and sites.

J Proteomics 2021 May 10:104262. Epub 2021 May 10.

Department of Biomedical Engineering, Nanjing University of Aeronautics and Astronautics, Nanjing 210016, China. Electronic address:

Histidine phosphorylation is critically important in a variety of cellular processes including signal transduction, cell cycle, proliferation, differentiation, and apoptosis. It is estimated to account for 6% of all phosphorylated amino acids. However, due to the acid lability of the PN bond, the study of pHis lags far behind that of pSer, pThr, and pTyr. Read More

View Article and Full-Text PDF

Accessioning and automation compatible anterior nares swab design.

J Virol Methods 2021 May 10:114153. Epub 2021 May 10.

Department of Systems Biology, Harvard Medical School, Boston, MA, 02115, USA; Laboratory of Systems Pharmacology, Harvard Medical School, Boston, MA, 02115, USA; Massachusetts Consortium on Pathogen Readiness, Boston, MA, 20115, USA. Electronic address:

The COVID-19 pandemic has resulted in an unparalleled need for viral testing capacity across the world and is a critical requirement for successful re-opening of economies. The logistical barriers to near-universal testing are considerable. We have designed an injection molded polypropylene anterior nares swab, the Rhinostic, with a screw cap integrated into the swab handle that is compatible with fully automated sample accessioning and processing. Read More

View Article and Full-Text PDF

Integrating Engineering, Automation, and Intelligence to Catalyze the Biomedical Translation of Organoids.

Adv Biol (Weinh) 2021 May 13:e2100535. Epub 2021 May 13.

Tsinghua-Berkeley Shenzhen Institute (TBSI), Shenzhen International Graduate School (SIGS), Tsinghua University, Shenzhen, 518055, China.

Organoid technology has developed at an impressive speed during the past decade. Still, organoids are not widely used in practical applications as expected. It is believed that this translation can be greatly accelerated with the integration of engineering and artificial intelligence into current research practices. Read More

View Article and Full-Text PDF

Step-by-step guide to 3D print motorized rotation mounts for optical applications.

Appl Opt 2021 May;60(13):3764-3771

Motorized rotation mounts and stages are versatile instruments that introduce computer control to optical systems, enabling automation and scanning actions. They can be used for intensity control, position adjustments, etc. However, these rotation mounts come with a hefty price tag, and this limits their use. Read More

View Article and Full-Text PDF

Applications of artificial intelligence and machine learning approaches in echocardiography.

Echocardiography 2021 May 13. Epub 2021 May 13.

Section of Cardiovascular Imaging, Robert and Suzanne Tomsich Department of Cardiovascular Medicine, Sydell and Arnold Miller Family Heart, Vascular and Thoracic Institute, Cleveland Clinic, Cleveland, OH, USA.

Artificial intelligence and machine learning approaches have become increasingly applied in the field of echocardiography to streamline diagnostic and prognostic assessments, and to support treatment decisions. Artificial intelligence and machine learning have been applied to aid image acquisition and automation. They have also been applied to the integration of clinical and imaging data. Read More

View Article and Full-Text PDF

[Research progress of continuous manufacturing and process knowledge system of traditional Chinese medicine].

Zhongguo Zhong Yao Za Zhi 2021 Apr;46(8):2045-2050

College of Pharmaceutical Sciences, Zhejiang University Hangzhou 310058, China.

In the past few years, continuous manufacturing(CM) has been put forward by the FDA. Pharmaceutical enterprises are encouraged to promote the implementation of CM, which has become a hot research direction of pharmaceutical technology. In February 2019, the FDA issued a draft guideline for the implementation of CM, which greatly promoted the development of CM and provided reference for continuous manufacturing of traditional Chinese medicine(TCM). Read More

View Article and Full-Text PDF

reval: A Python package to determine best clustering solutions with stability-based relative clustering validation.

Patterns (N Y) 2021 Apr 2;2(4):100228. Epub 2021 Apr 2.

Laboratory for Autism and Neurodevelopmental Disorders, Center for Neuroscience and Cognitive Systems @UniTn, Istituto Italiano di Tecnologia, Rovereto, Italy.

Determining the best partition for a dataset can be a challenging task because of the lack of information within an unsupervised learning framework and the absence of a unique clustering validation approach to evaluate clustering solutions. Here we present reval: a Python package that leverages stability-based relative clustering validation methods to select best clustering solutions as the ones that replicate, via supervised learning, on unseen subsets of data. The implementation of relative validation methods can contribute to the theory of clustering by fostering new approaches for the investigation of clustering results in different situations and for different data distributions. Read More

View Article and Full-Text PDF

Barriers and facilitators to the adoption of artificial intelligence in radiation oncology: A New Zealand study.

Tech Innov Patient Support Radiat Oncol 2021 Jun 21;18:16-21. Epub 2021 Apr 21.

Waikato Hospital, Regional Cancer Centre Selwyn Street Level 1 Lomas Street Hamilton, Waikato 3240 New Zealand.

Introduction: Advances in computing capabilities and automated data collection have led to an increase in the use of Artificial Intelligence (AI) in radiation therapy. This has implications to workflow and workforce planning in radiation oncology departments. A survey was conducted in New Zealand to determine the likelihood of departments adopting AI into their practice. Read More

View Article and Full-Text PDF

Texture Analysis Based on Gd-EOB-DTPA-Enhanced MRI for Identifying Vessels Encapsulating Tumor Clusters (VETC)-Positive Hepatocellular Carcinoma.

J Hepatocell Carcinoma 2021 5;8:349-359. Epub 2021 May 5.

Department of Radiology, The First Affiliated Hospital of Soochow University, Suzhou, Jiangsu, 215006, People's Republic of China.

Purpose: To determine the potential findings associated with vessels encapsulating tumor clusters (VETC)-positive hepatocellular carcinoma (HCC), with particular emphasis on texture analysis based on gadolinium-ethoxybenzyl-diethylenetriamine pentaacetic acid (Gd-EOB-DTPA)-enhanced MRI.

Methods: Eighty-one patients with VETC-negative HCC and 52 patients with VETC-positive HCC who underwent Gd-EOB-DTPA-enhanced MRI before curative partial hepatectomy were retrospectively evaluated in our institution. MRI texture analysis was performed on arterial phase (AP) and hepatobiliary phase (HBP) images. Read More

View Article and Full-Text PDF

A Lightweight Mutual Authentication and Privacy-preservation Scheme for Intelligent Wearable Devices in Industrial-CPS.

IEEE Trans Industr Inform 2021 Aug 10;17(8):5829-5839. Epub 2020 Dec 10.

School of Engineering and Mathematical Sciences, La Trobe University Melbourne, VIC, AUS 3086.

Industry 5.0 is the digitalization, automation and data exchange of industrial processes that involve artificial intelligence, Industrial Internet of Things (IIoT), and Industrial Cyber-Physical Systems (I-CPS). In healthcare, I-CPS enables the intelligent wearable devices to gather data from the real-world and transmit to the virtual world for decision-making. Read More

View Article and Full-Text PDF

Sample Preparation Free Mass Spectrometry Using Laser-Assisted Rapid Evaporative Ionization Mass Spectrometry: Applications to Microbiology, Metabolic Biofluid Phenotyping, and Food Authenticity.

J Am Soc Mass Spectrom 2021 May 13. Epub 2021 May 13.

Department of Metabolism, Digestion, and Reproduction, Imperial College London, London SW7 2AZ, U.K.

Mass spectrometry has established itself as a powerful tool in the chemical, biological, medical, environmental, and agricultural fields. However, experimental approaches and potential application areas have been limited by a traditional reliance on sample preparation, extraction, and chromatographic separation. Ambient ionization mass spectrometry methods have addressed this challenge but are still somewhat restricted in requirements for sample manipulation to make it suitable for analysis. Read More

View Article and Full-Text PDF

Aptamer-based lateral flow assay on-site biosensors.

Biosens Bioelectron 2021 Apr 24;186:113279. Epub 2021 Apr 24.

School of Information and Communication Engineering, University of Electronic Science and Technology of China, Chengdu, 611731, China. Electronic address:

The lateral flow assay (LFA) is a widely used paper-based on-site biosensor that can detect target analytes and obtain test results in several minutes. Generally, antibodies are utilized as the biorecognition molecules in the LFA. However, antibodies selected using an in vivo process not only may risk killing the animal hosts and causing errors between different batches but also their range is restricted by the refrigerated conditions used to store them. Read More

View Article and Full-Text PDF

Artificial intelligence and machine learning for medical imaging: A technology review.

Phys Med 2021 May 9;83:242-256. Epub 2021 May 9.

Molecular Imaging, Radiation and Oncology (MIRO) Laboratory, UCLouvain, Belgium.

Artificial intelligence (AI) has recently become a very popular buzzword, as a consequence of disruptive technical advances and impressive experimental results, notably in the field of image analysis and processing. In medicine, specialties where images are central, like radiology, pathology or oncology, have seized the opportunity and considerable efforts in research and development have been deployed to transfer the potential of AI to clinical applications. With AI becoming a more mainstream tool for typical medical imaging analysis tasks, such as diagnosis, segmentation, or classification, the key for a safe and efficient use of clinical AI applications relies, in part, on informed practitioners. Read More

View Article and Full-Text PDF

Active Flow Control and Dynamic Analysis in Droplet Microfluidics.

Annu Rev Anal Chem (Palo Alto Calif) 2021 May 12. Epub 2021 May 12.

Department of Chemistry and Biochemistry, Auburn University, Auburn, Alabama 36849, USA; email:

Droplet-based microfluidics has emerged as an important subfield within the microfluidic and general analytical communities. Indeed, several unique applications such as digital assay readout and single-cell sequencing now have commercial systems based on droplet microfluidics. Yet there remains room for this research area to grow. Read More

View Article and Full-Text PDF

Automated Construction of Quantum-Classical Hybrid Models.

J Chem Theory Comput 2021 May 12. Epub 2021 May 12.

Laboratorium für Physikalische Chemie, ETH Zürich, Vladimir-Prelog-Weg 2, 8093 Zürich, Switzerland.

We present a protocol for the fully automated construction of quantum mechanical (QM)-classical hybrid models by extending our previously reported approach on self-parametrizing system-focused atomistic models (SFAMs) [Brunken, C.; Reiher, M. 2020, 16, 3, 1646-1665]. Read More

View Article and Full-Text PDF

Experimental study on temperature drop during roller quenching process of large-section ultra-heavy steel plate.

Sci Prog 2021 Apr-Jun;104(2):368504211009330

Department of State key laboratory of rolling and automation, University of Northeastern, Shenyang, Liaoning, China.

Large-section ultra-heavy steel plates feature low cooling rate of central part during quenching process, as well as great differences in texture and performance along thickness direction. Wet jet impingement quenching test apparatus and multi-channel temperature recorder were developed to explore the temperature drop characteristics and its influential factors of ultra-heavy steel plate. The temperature drop curves of plates with different thickness (160, 220, and 300 mm) and weight (23-43 tons) were recorded during the quenching process, accompanied with the exploration on distribution rules of temperature gradient, heat flux density and cooling rate along thickness direction under different water volumes (9000-9400 m/h) and pressures (0. Read More

View Article and Full-Text PDF

Comparison of multiple tractography methods for reconstruction of the retinogeniculate visual pathway using diffusion MRI.

Hum Brain Mapp 2021 May 12. Epub 2021 May 12.

Department of Radiology, Brigham and Women's Hospital, Harvard Medical School, Boston, Massachusetts, USA.

The retinogeniculate visual pathway (RGVP) conveys visual information from the retina to the lateral geniculate nucleus. The RGVP has four subdivisions, including two decussating and two nondecussating pathways that cannot be identified on conventional structural magnetic resonance imaging (MRI). Diffusion MRI tractography has the potential to trace these subdivisions and is increasingly used to study the RGVP. Read More

View Article and Full-Text PDF

Development of the Joint Commission of Taiwan's Smart Healthcare Standard.

J Med Syst 2021 May 11;45(6):67. Epub 2021 May 11.

Joint Commission Taiwan, 5F., No.31, Sec. 2, Sanmin Rd., Banqiao Dist., New Taipei City, Taiwan.

It is well known that information technology (IT) can play a pivotal role in enhancing healthcare quality and patient safety. The use of computational science to enhance the capabilities of hospital information systems helps deliver enhanced healthcare quality. "Smart healthcare" has become a popular term, reflecting the level of IT involvement in healthcare services. Read More

View Article and Full-Text PDF

Which particles to select, and if yes, how many? : Subsampling methods for Raman microspectroscopic analysis of very small microplastic.

Anal Bioanal Chem 2021 May 12. Epub 2021 May 12.

Institute of Hydrochemistry, Chair of Analytical Chemistry and Water Chemistry, Technical University of Munich, Elisabeth-Winterhalter-Weg 6, 81377, Munich, Germany.

Micro- and nanoplastic contamination is becoming a growing concern for environmental protection and food safety. Therefore, analytical techniques need to produce reliable quantification to ensure proper risk assessment. Raman microspectroscopy (RM) offers identification of single particles, but to ensure that the results are reliable, a certain number of particles has to be analyzed. Read More

View Article and Full-Text PDF

Methods to achieve effective web-based learning management modules: MyGJU versus Moodle.

PeerJ Comput Sci 2021 16;7:e498. Epub 2021 Apr 16.

Department of Computer Engineering, German Jordanian University, Amman, Jordan.

Several higher education institutions have harnessed e-learning tools to empower the application of different learning models that enrich the educational process. Nevertheless, the reliance on commercial or open-source platforms, in some cases, to deliver e-learning could impact system acceptability, usability, and capability. Therefore, this study suggests design methods to develop effective learning management capabilities such as attendance, coordination, course folder, course section homepage, learning materials, syllabus, emails, and student tracking within a university portal named MyGJU. Read More

View Article and Full-Text PDF

AI-driven deep CNN approach for multi-label pathology classification using chest X-Rays.

PeerJ Comput Sci 2021 20;7:e495. Epub 2021 Apr 20.

Department of Automation and Applied Informatics, Aurel Vlaicu University of Arad, Arad, Romania.

Artificial intelligence (AI) has played a significant role in image analysis and feature extraction, applied to detect and diagnose a wide range of chest-related diseases. Although several researchers have used current state-of-the-art approaches and have produced impressive chest-related clinical outcomes, specific techniques may not contribute many advantages if one type of disease is detected without the rest being identified. Those who tried to identify multiple chest-related diseases were ineffective due to insufficient data and the available data not being balanced. Read More

View Article and Full-Text PDF

Low cost exoskeleton manipulator using bidirectional triboelectric sensors enhanced multiple degree of freedom sensory system.

Nat Commun 2021 May 11;12(1):2692. Epub 2021 May 11.

Department of Electrical & Computer Engineering, National University of Singapore, Singapore, 117576, Singapore.

Rapid developments of robotics and virtual reality technology are raising the requirements of more advanced human-machine interfaces for achieving efficient parallel control. Exoskeleton as an assistive wearable device, usually requires a huge cost and complex data processing to track the multi-dimensional human motions. Alternatively, we propose a triboelectric bi-directional sensor as a universal and cost-effective solution to a customized exoskeleton for monitoring all of the movable joints of the human upper limbs with low power consumption. Read More

View Article and Full-Text PDF

[A Case of Descending Colon and Rectal Cancer with Acute Myeloid Leukemia Performed Robot‒Assisted Hartmann's Procedure].

Gan To Kagaku Ryoho 2021 Apr;48(4):599-601

Dept. of Gastroenterological Surgery, Hirosaki University Graduate School of Medicine.

The case is a 68‒year‒old male, who had been diagnosed with acute myeloid leukemia(AML)prior to rectal cancer surgery, was referred to our hospital for treatment in July 2019. We planned to treat the AML first, and then the colorectal cancer. After completion of 1 course of CAG therapy(cytarabine, aclarubicin, G‒CSF), his white blood cell count increased sufficiently, so he underwent a robot‒assisted Hartmann operation in October. Read More

View Article and Full-Text PDF

Correction to: Automatic identification of myopic maculopathy related imaging features in optic disc region via machine learning methods.

J Transl Med 2021 May 11;19(1):203. Epub 2021 May 11.

Department of Preventative Ophthalmology, Shanghai Eye Diseases Prevention and Treatment Center, Shanghai Eye Hospital, No. 380 Kangding Road, Shanghai, 200040, China.

View Article and Full-Text PDF

Computed tomography-based radiomic model at node level for the prediction of normal-sized lymph node metastasis in cervical cancer.

Transl Oncol 2021 May 8;14(8):101113. Epub 2021 May 8.

CAS Key Laboratory of Molecular Imaging, Institute of Automation, Chinese Academy of Sciences, Beijing 100190, China; Zhuhai Precision Medical Center, Zhuhai People's Hospital (affiliated with Jinan University), Zhuhai 519000, China; Beijing Advanced Innovation Centre for Big Data-Based Precision Medicine, School of Medicine, Beihang University, Beijing 100191, China. Electronic address:

Purpose: Radiomic models have been demonstrated to have acceptable discrimination capability for detecting lymph node metastasis (LNM). We aimed to develop a computed tomography-based radiomic model and validate its usefulness in the prediction of normal-sized LNM at node level in cervical cancer.

Methods: A total of 273 LNs of 219 patients from 10 centers were evaluated in this study. Read More

View Article and Full-Text PDF

A review of surrogate safety measures and their applications in connected and automated vehicles safety modeling.

Accid Anal Prev 2021 May 8;157:106157. Epub 2021 May 8.

School of Transportation, Southeast University, China. Electronic address:

Surrogate Safety Measures (SSM) are important for safety performance evaluation, since crashes are rare events and historical crash data does not capture near crashes that are also critical for improving safety. This paper focuses on SSM and their applications, particularly in Connected and Automated Vehicles (CAV) safety modeling. It aims to provide a comprehensive and systematic review of significant SSM studies, identify limitations and opportunities for future SSM and CAV research, and assist researchers and practitioners with choosing the most appropriate SSM for safety studies. Read More

View Article and Full-Text PDF

MAT2: Manifold alignment of single-cell transcriptomes with cell triplets.

Bioinformatics 2021 May 10. Epub 2021 May 10.

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.

Motivation: Aligning single-cell transcriptomes is important for the joint analysis of multiple single-cell RNA sequencing datasets, which in turn is vital to establishing a holistic cellular landscape of certain biological processes. Although numbers of approaches have been proposed for this problem, most of which only consider mutual neighbors when aligning the cells without taking into account known cell type annotations.

Results: In this work, we present MAT2 that aligns cells in the manifold space with a deep neural network employing contrastive learning strategy. Read More

View Article and Full-Text PDF

MAT2: Manifold alignment of single-cell transcriptomes with cell triplets.

Bioinformatics 2021 May 11. Epub 2021 May 11.

Institute of Science and Technology for Brain-Inspired Intelligence, Fudan University, Shanghai 200433, China.

Motivation: Aligning single-cell transcriptomes is important for the joint analysis of multiple single-cell RNA sequencing datasets, which in turn is vital to establishing a holistic cellular landscape of certain biological processes. Although numbers of approaches have been proposed for this problem, most of which only consider mutual neighbors when aligning the cells without taking into account known cell type annotations.

Results: In this work, we present MAT2 that aligns cells in the manifold space with a deep neural network employing contrastive learning strategy. Read More

View Article and Full-Text PDF