22,618 results match your criteria extraction proposed


PrimePatNet87: Prime pattern and tunable q-factor wavelet transform techniques for automated accurate EEG emotion recognition.

Comput Biol Med 2021 Sep 16;138:104867. Epub 2021 Sep 16.

Ngee Ann Polytechnic, Department of Electronics and Computer Engineering, 599489, Singapore; Department of Biomedical Engineering, School of Science and Technology, SUSS University, Singapore; Department of Biomedical Informatics and Medical Engineering, Asia University, Taichung, Taiwan. Electronic address:

Nowadays, many deep models have been presented to recognize emotions using electroencephalogram (EEG) signals. These deep models are computationally intensive, it takes a longer time to train the model. Also, it is difficult to achieve high classification performance using for emotion classification using machine learning techniques. Read More

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September 2021

Attention-Gated Graph Convolutions for Extracting Drug Interaction Information from Drug Labels.

ACM Trans Comput Healthc 2021 Mar;2(2)

National Library of Medicine, United States.

Preventable adverse events as a result of medical errors present a growing concern in the healthcare system. As drug-drug interactions (DDIs) may lead to preventable adverse events, being able to extract DDIs from drug labels into a machine-processable form is an important step toward effective dissemination of drug safety information. Herein, we tackle the problem of jointly extracting mentions of drugs and their interactions, including interaction , from drug labels. Read More

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SSMFN: a fused spatial and sequential deep learning model for methylation site prediction.

PeerJ Comput Sci 2021 26;7:e683. Epub 2021 Aug 26.

Bioinformatics and Data Science Research Center, Bina Nusantara University, West Jakarta, Jakarta, Indonesia.

Background: Conventional methods for post-translational modification site prediction such as spectrophotometry, Western blotting, and chromatin immune precipitation can be very expensive and time-consuming. Neural networks (NN) are one of the computational approaches that can predict effectively the post-translational modification site. We developed a neural network model, namely the Sequential and Spatial Methylation Fusion Network (SSMFN), to predict possible methylation sites on protein sequences. Read More

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Detecting sarcasm in multi-domain datasets using convolutional neural networks and long short term memory network model.

PeerJ Comput Sci 2021 25;7:e645. Epub 2021 Aug 25.

Information and Communication Engineering, Yeungnam University, Gyeongsan si, Daegu, South Korea.

Sarcasm emerges as a common phenomenon across social networking sites because people express their negative thoughts, hatred and opinions using positive vocabulary which makes it a challenging task to detect sarcasm. Although various studies have investigated the sarcasm detection on baseline datasets, this work is the first to detect sarcasm from a multi-domain dataset that is constructed by combining Twitter and News Headlines datasets. This study proposes a hybrid approach where the convolutional neural networks (CNN) are used for feature extraction while the long short-term memory (LSTM) is trained and tested on those features. Read More

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Task-Oriented Intelligent Solution to Measure Parkinson's Disease Tremor Severity.

J Healthc Eng 2021 10;2021:9624386. Epub 2021 Sep 10.

School of Science and Technology, Nottingham Trent University, Clifton Lane, Nottingham NG11 8NS, UK.

Tremor is a common symptom of Parkinson's disease (PD). Currently, tremor is evaluated clinically based on MDS-UPDRS Rating Scale, which is inaccurate, subjective, and unreliable. Precise assessment of tremor severity is the key to effective treatment to alleviate the symptom. Read More

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September 2021

Passive Fetal Movement Signal Detection System Based on Intelligent Sensing Technology.

J Healthc Eng 2021 25;2021:1745292. Epub 2021 Aug 25.

Department of Artificial Intelligence and Manufacturing, Hechi University, Hechi, China.

Fetal movement (FM) is an essential physiological parameter to determine the health status of the fetus. To address the problems of harrowing FM signal extraction and the low recognition rate of traditional machine learning classifiers in FM signal detection, this paper develops a passive FM signal detection system based on intelligent sensing technology. FM signals are obtained from the abdomen of the pregnant woman by using accelerometers. Read More

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Sensor Fault Diagnosis Method Based on -Grey Wolf Optimization-Support Vector Machine.

Comput Intell Neurosci 2021 10;2021:1956394. Epub 2021 Sep 10.

College of Electrical and Automation Engineering., Shandong University of Science and Technology, No. 579 Qianwangang Road, Qingdao 266590, China.

Aimed to address the low diagnostic accuracy caused by the similar data distribution of sensor partial faults, a sensor fault diagnosis method is proposed on the basis of Grey Wolf Optimization Support Vector Machine (-GWO-SVM) in this paper. Firstly, a fusion with Kernel Principal Component Analysis (KPCA) and time-domain parameters is performed to carry out the feature extraction and dimensionality reduction for fault data. Then, an improved Grey Wolf Optimization (GWO) algorithm is applied to enhance its global search capability while speeding up the convergence, for the purpose of further optimizing the parameters of SVM. Read More

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September 2021

A Hybrid Approach for Cardiac Blood Flow Vortex Ring Identification Based on Optical Flow and Lagrangian Averaged Vorticity Deviation.

Front Physiol 2021 1;12:698405. Epub 2021 Sep 1.

Shenzhen Institutes of Advanced Technology, Chinese Academy of Sciences, Shenzhen, China.

The measurement of cardiac blood flow vortex characteristics can help to facilitate the analysis of blood flow dynamics that regulates heart function. However, the complexity of cardiac flow along with other physical limitations makes it difficult to adequately identify the dominant vortices in a heart chamber, which play a significant role in regulating the heart function. Although the existing vortex quantification methods can achieve this goal, there are still some shortcomings: such as low precision, and ignoring the center of the vortex without the description of vortex deformation processes. Read More

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September 2021

Radiomics and machine learning applications in rectal cancer: Current update and future perspectives.

World J Gastroenterol 2021 Aug;27(32):5306-5321

Department of Advanced Biomedical Sciences, University of Naples "Federico II", Naples 80131, Italy.

The high incidence of rectal cancer in both sexes makes it one of the most common tumors, with significant morbidity and mortality rates. To define the best treatment option and optimize patient outcome, several rectal cancer biological variables must be evaluated. Currently, medical imaging plays a crucial role in the characterization of this disease, and it often requires a multimodal approach. Read More

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Diagnostic Tests for Female Bladder Outlet Obstruction: A Systematic Review from the European Association of Urology Non-neurogenic Female LUTS Guidelines Panel.

Eur Urol Focus 2021 Sep 16. Epub 2021 Sep 16.

Department of Urology, Freeman Hospital, Newcastle-upon-Tyne, UK.

Context: Female bladder outlet obstruction (fBOO) is a relatively uncommon condition compared with its male counterpart. Several criteria have been proposed to define fBOO, but the comparative diagnostic accuracy of these remains uncertain.

Objective: To identify and compare different tests to diagnose fBOO through a systematic review process. Read More

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September 2021

Automatic Extraction of Hiatal Dimensions in 3-D Transperineal Pelvic Ultrasound Recordings.

Ultrasound Med Biol 2021 Sep 15. Epub 2021 Sep 15.

Department of Development and Regeneration, Cluster Urogenital Surgery, Biomedical Sciences, KU Leuven; Clinical Department of Obstetrics and Gynaecology, UZ Leuven, Leuven, Belgium.

The aims of this work were to create a robust automatic software tool for measurement of the levator hiatal area on transperineal ultrasound (TPUS) volumes and to measure the potential reduction in variability and time taken for analysis in a clinical setting. The proposed tool automatically detects the C-plane (i.e. Read More

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September 2021

Separation and non-separation methods for the analysis of cannabinoids in Cannabis sativa L.

J Pharm Biomed Anal 2021 Aug 28;206:114346. Epub 2021 Aug 28.

Department of Life Sciences (DSV), University of Modena and Reggio Emilia, Via G. Campi 103, 41125, Modena, Italy. Electronic address:

Cannabis sativa L. is a plant known all over the world, due to its history, bioactivity and also social impact. It is chemically complex with an astonishing ability in the biosynthesis of many secondary metabolites belonging to different chemical classes. Read More

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Development of a SPE/GC-MS method for the determination of organophosphorus pesticides in food samples using syringe filters packed by GNP/MIL-101(Cr) nanocomposite.

Food Chem 2021 Aug 31;371:130997. Epub 2021 Aug 31.

Department of Chemistry, Faculty of Science, University of Zakho, Zakho, Iraq.

In this study, we report the synthesis and application of a nanocomposite comprising metal-organic framework MIL-101(Cr) and graphene nanopowder (GNP) as a promising sorbent for the extraction of organophosphorus pesticides (OPPs) in juices, water, vegetables and honey samples. A syringe filter, for the first time, was used to host the synthesized nanocomposite and extract the OPPs followed by GC-MS analysis. Different characterization methods including XRD, FTIR, TGA, BET and SEM were employed to confirm the formation of studied nanocomposite. Read More

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New insight on occurrence of liquid crystal monomers: A class of emerging e-waste pollutants in municipal landfill leachate.

J Hazard Mater 2021 Sep 10;423(Pt B):127146. Epub 2021 Sep 10.

School of Energy and Environment and State Key Laboratory of Marine Pollution, City University of Hong Kong, Hong Kong, China. Electronic address:

Liquid crystal monomers (LCMs) have been proposed as a class of emerging organic pollutants, which were recently detected in indoor dust and sediment samples collected near electronic devices recycling facilities. However, there is a knowledge gap for analytical method, occurrence, and distribution of LCMs in aqueous sample. Herein, a robust method was developed to determine 38 target LCMs in landfill leachate. Read More

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September 2021

Novelty detection-based approach for Alzheimer's disease and mild cognitive impairment diagnosis from EEG.

Med Biol Eng Comput 2021 Sep 18. Epub 2021 Sep 18.

Department of Computer Science, Faculty of Science, University of South Bohemia in Ceske Budejovice, Ceske Budejovice, Czech Republic.

Alzheimer's disease is diagnosed via means of daily activity assessment. The EEG recording evaluation is a supporting tool that can assist the practitioner to recognize the illness, especially in the early stages. This paper presents a new approach for detecting Alzheimer's disease and potentially mild cognitive impairment according to the measured EEG records. Read More

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September 2021

Preparation of magnetic yolk-shell structured metal-organic framework material and its application in pharmacokinetics study of alkaloids.

Anal Bioanal Chem 2021 Sep 17. Epub 2021 Sep 17.

School of Chemistry and Chemical Engineering, Chongqing University, Chongqing, 401331, People's Republic of China.

In this study, a magnetic yolk-shell structured metal-organic framework material ([email protected]) is prepared by the directional etching of Co/peroxymonosulfate and in situ magnetization. The characteristic properties of the material were investigated by using field emission scanning electron microscopy, transmission electron microscopy, energy-dispersive X-ray spectroscopy, X-ray powder diffraction, Fourier transform infrared spectroscopy, vibrating sample magnetometer, Brunauer-Emmett-Teller, and contact angle test. The [email protected] shows the advantages of large surface area, good magnetic property, and satisfactory stability, as well as giving high affinity to alkaloids (ALs) via hydrophilic interaction, hydrogen bonding, and π-π interaction. Read More

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September 2021

Chitosan biofilms: Insights for the selective electromembrane extraction of fluoroquinolones from biological samples.

Anal Chim Acta 2021 Sep 6;1179:338832. Epub 2021 Jul 6.

Department of Analytical Chemistry, Faculty of Chemistry, Universidad de Sevilla, C/Prof. García González, S/n, 41012, Seville, Spain.

A selective electromembrane extraction procedure for the extraction of Enrofloxacin, Marbofloxacin and Flumequine, usually employed as antibiotic in veterinarian use, is proposed by using a chitosan biofilm, composed by 60% (w/w) chitosan and 40% (w/w) Aliquat®336, as active biopolymeric support. The interaction mechanism occurring between the target drugs and the biopolymer has been deeply studied using the Quantum Theory of Atoms in Molecules. The obtained results show the interaction between the extracted fluoroquinolones and the biomembrane is stabilized by two hydrogen bonds formed between both the carboxyl and keto groups of the drugs with both the amine and hydroxyl groups of glucosamine in the biopolymer. Read More

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September 2021

LungAttn: advanced lung sound classification using attention mechanism with dual TQWT and triple STFT spectrogram.

Physiol Meas 2021 Sep 17. Epub 2021 Sep 17.

Department of Micro-Nano Electronics and MoE Key Lab of Artificial Intelligence, Shanghai Jiao Tong University, Shanghai, CHINA.

Objective: Auscultation of lung sound plays an important role in the early diagnosis of lung diseases. This work aims to develop an automated adventitious lung sound detection method to reduce the workload of physicians.

Approach: We propose a deep learning architecture, LungAttn, which incorporates augmented attention convolution into ResNet block to improve the classification accuracy of lung sound. Read More

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September 2021

Learning Modal-Invariant Angular Metric by Cyclic Projection Network for VIS-NIR Person Re-identification.

IEEE Trans Image Process 2021 Sep 17;PP. Epub 2021 Sep 17.

Person re-identification across visible and near-infrared cameras (VIS-NIR Re-ID) has widespread applications. The challenge of this task lies in heterogeneous image matching. Existing methods attempt to learn discriminative features via complex feature extraction strategies. Read More

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September 2021

Enhanced photovoltage and stability of perovskite photovoltaics enabled by a cyclohexylmethylammonium iodide-based 2D perovskite passivation layer.

Nanoscale 2021 Sep 17;13(35):14915-14924. Epub 2021 Sep 17.

Fujian Institute of Research on Structure Matter, CAS, Xiamen 361021, Fujian, China.

Regardless of the impressive progress that perovskite solar cells (PSCs) have achieved, especially considering their power conversion efficiency (PCE) over 25%, traditional PSCs still contend with an inherent instability with exposure to humidity, which remains as a critical issue for the realization of commercial production. Herein, we proposed an effective pathway to relieve the instability of PSCs without sacrificing efficiency by introducing a 2D phase at the surface of the 3D perovskite film, based on a novel organic cyclohexylmethylammonium iodide (CMAI). The self-assembled thin 2D capping layer atop the 3D perovskite layer can not only reduce the ionic defects, but also serve as a protective barrier against moisture. Read More

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September 2021

Rapid and simultaneous determination of trigonelline, caffeine, and chlorogenic acid in green coffee bean extract.

Food Sci Nutr 2021 Sep 5;9(9):5028-5035. Epub 2021 Jul 5.

Chemistry Department Science College Bahir Dar University Bahir Dar Ethiopia.

A simple, inexpensive, and rapid method for simultaneous determination of trigonelline, caffeine, and chlorogenic acid from green coffee bean extract was proposed based on salting-out assisted liquid-liquid extraction, using QuEChERS salt and acetonitrile followed by UV-Vis analysis. The proposed method represents acceptable linearity for trigonelline (0.9978), caffeine (0. Read More

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September 2021

Optimization Research on Deep Learning and Temporal Segmentation Algorithm of Video Shot in Basketball Games.

Comput Intell Neurosci 2021 6;2021:4674140. Epub 2021 Sep 6.

Arba Minch University, Arba Minch, Ethiopia.

The analysis of the video shot in basketball games and the edge detection of the video shot are the most active and rapid development topics in the field of multimedia research in the world. Video shots' temporal segmentation is based on video image frame extraction. It is the precondition for video application. Read More

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September 2021

A simple and sensitive aptasensor with rolling circle amplification for viable Cronobacter sakazakii detection in powdered infant formula.

J Dairy Sci 2021 Sep 13. Epub 2021 Sep 13.

State Key Laboratory of Food Science and Technology, Nanchang University, Nanchang, 330047, PR China. Electronic address:

Cronobacter sakazakii is a foodborne, emerging opportunistic pathogen that causes severe bacteremia, necrotizing enterocolitis, and sepsis with a mortality rate of up to 80%. In this study, we developed a simple and sensitive fluorescent turn-off aptasensor with rolling circle amplification assay for viable C. sakazakii detection in powdered infant formula. Read More

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September 2021

TP-DDI: Transformer-based pipeline for the extraction of Drug-Drug Interactions.

Artif Intell Med 2021 Sep 23;119:102153. Epub 2021 Aug 23.

School of Informatics, Aristotle University of Thessaloniki, Greece. Electronic address:

Drug-Drug Interaction (DDI) extraction is the task of identifying drug entities and the potential interactions between drug pairs from biomedical literature. Computer-aided extraction of DDIs is vital for drug discovery, as this process remains extremely expensive and time consuming. Therefore, Machine Learning-based approaches can reduce the laborious task during the drug development cycle. Read More

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September 2021

Life cycle assessment of underground coal mining in China.

Sci Total Environ 2021 Sep 10;805:150231. Epub 2021 Sep 10.

Department of Earth Science and Engineering, Royal School of Mines, Imperial College, United Kingdom.

Coal is not only the main fossil fuel in China but also a pollution source. To evaluate the impact of coal production on the environment, a life cycle assessment (LCA) was conducted on the mining process of a typical coal mine in China by using the SimaPro 9.0. Read More

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September 2021

Magnetic solid-phase extraction based on zirconium-based metal-organic frameworks for simultaneous enantiomeric determination of eight chiral pesticides in water and fruit juices.

Food Chem 2021 Sep 4;370:131056. Epub 2021 Sep 4.

School of Pharmacy, Shenyang Pharmaceutical University, 103 Wenhua Road, Shenhe District, Shenyang, Liaoning 110016, PR China. Electronic address:

A novel multi-residue method, magnetic solid-phase extraction combined with LC-MS/MS, was proposed for simultaneous enantiomeric determination of eight chiral pesticides in water and fruit juices. [email protected]@UiO-66 was firstly used to extract and enrich pesticides, showing excellent adsorption capacity, which was proved by adsorption kinetic and thermodynamic experiments. Multiple extraction parameters were optimized by Plackett-Burman and Box-Behnken design. Read More

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September 2021

Green porous benzamide-like nanomembranes for hazardous cations detection, separation, and concentration adjustment.

J Hazard Mater 2021 Sep 11;423(Pt B):127130. Epub 2021 Sep 11.

Department of Polymer Technology, Faculty of Chemistry, Gdańsk University of Technology, G. Narutowicza 11/12, 80-233 Gdańsk, Poland.

Green biomaterials play a crucial role in the diagnosis and treatment of diseases as well as health-related problem-solving. Typically, biocompatibility, biodegradability, and mechanical strength are requirements centered on biomaterial engineering. However, in-hospital therapeutics require an elaborated synthesis of hybrid and complex nanomaterials capable of mimicking cellular behavior. Read More

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September 2021

A Sensitive Ultra-High Performance Liquid Chromatography-Tandem Mass Spectrometry Method Based on Derivatization with 1-Nitro-2-Naphthaldehyde for Determination of Alkylhydrazines in Surface water.

J AOAC Int 2021 Sep 16. Epub 2021 Sep 16.

Daejeon-Sejong Division, Korea Occupational Safety and Health Agency, Daejeon City, Republic of Korea.

Background: Alkylhydrazines are widely used in the industrial fields. An analysis of alkylhydrazines in surface water is need because these chemicals are likely to be discharged into wastewater and enter aquatic environments.

Objective: An ultra-high performance liquid chromatography-tandem mass spectrometry (UHPLC-MS/MS) method was developed to determine the levels of five alkylhydrazines (N,N-dimethylhydrazine, ethylhydrazine, 1-isopropylhydrazine, phenylhydrazine and 1-methyl-1-phenylhydrazine) in surface water. Read More

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September 2021

Determination of BTEX Compounds in Contaminated Water Using the Novel Vacuum-Assisted-Total Vaporization SPME Method and GO-APTES Fiber.

J Chromatogr Sci 2021 Sep 15. Epub 2021 Sep 15.

Lorestan Petrochemical Company, Khorramabad 1469643846, Iran.

A novel and reliable microextraction technique was used for the fast determination of benzene, toluene, ethylbenzene and xylenes (BTEX) from contaminated water without any extra steps for the preparation or extraction of the aqueous sample. Vacuum-assisted-total vaporization-solid-phase microextraction (SPME) eliminated one of the partitioning steps in conventional headspace SPME and caused an increase in the sensitivity and speed of the method. A home-made graphene oxide/3-aminopropyl-triethoxysilane nanocomposite SPME fiber was synthesized and used as the extraction phase for efficient extraction. Read More

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September 2021

Music Waveform Analysis Based on SOM Neural Network and Big Data.

Authors:
Xinmei Zhang

Comput Intell Neurosci 2021 3;2021:9714988. Epub 2021 Sep 3.

School of Music, Shaanxi Normal University, Xi'an, Shaanxi 710119, China.

Music is an indispensable part of our life and study and is one of the most important forms of multimedia applications. With the development of deep learning and neural network in recent years, how to use cutting-edge technology to study and apply music has become a research hotspot. Music waveform is not only the main form of music frequency but also the basis of music feature extraction. Read More

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September 2021