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In-Vehicle Alcohol Detection Using Low-Cost Sensors and Genetic Algorithms to Aid in the Drinking and Driving Detection.

Sensors (Basel) 2021 Nov 21;21(22). Epub 2021 Nov 21.

Unidad Académica de Ingeniería Eléctrica, Universidad Autónoma de Zacatecas, Jardín Juárez 147, Centro, Zacatecas 98000, Mexico.

Worldwide, motor vehicle accidents are one of the leading causes of death, with alcohol-related accidents playing a significant role, particularly in child death. Aiming to aid in the prevention of this type of accidents, a novel non-invasive method capable of detecting the presence of alcohol inside a motor vehicle is presented. The proposed methodology uses a series of low-cost alcohol MQ3 sensors located inside the vehicle, whose signals are stored, standardized, time-adjusted, and transformed into 5 s window samples. Read More

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November 2021

Variations Risk Assessment in Breast Cancers Using Different Artificial Intelligence Models.

Genes (Basel) 2021 Nov 9;12(11). Epub 2021 Nov 9.

DESAM Research Institute, Near East University, Nicosia 99138, Cyprus.

Artificial intelligence provides modelling on machines by simulating the human brain using learning and decision-making abilities. Early diagnosis is highly effective in reducing mortality in cancer. This study aimed to combine cancer-associated risk factors including genetic variations and design an artificial intelligence system for risk assessment. Read More

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November 2021

Selective Cross-Subject Transfer Learning Based on Riemannian Tangent Space for Motor Imagery Brain-Computer Interface.

Front Neurosci 2021 3;15:779231. Epub 2021 Nov 3.

Department of Neurology, First Affiliated Hospital of Xiamen University, Xiamen, China.

A motor imagery (MI) brain-computer interface (BCI) plays an important role in the neurological rehabilitation training for stroke patients. Electroencephalogram (EEG)-based MI BCI has high temporal resolution, which is convenient for real-time BCI control. Therefore, we focus on EEG-based MI BCI in this paper. Read More

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November 2021

A Comparison between Conventional and User-Intention-Based Adaptive Pushrim-Activated Power-Assisted Wheelchairs.

IEEE Trans Neural Syst Rehabil Eng 2021 Nov 18;PP. Epub 2021 Nov 18.

Pushrim-activated power-assisted wheel (PAPAW) users ideally require different levels of assistance depending on activity and preference. Therefore, it is important to design and develop adaptive PAPAW controllers to account for these differences. The main objective of this work was to integrate a user intention estimation framework into a PAPAW and develop personalized adaptive controllers. Read More

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November 2021

An Improved Animal Migration Optimization Algorithm to Train the Feed-Forward Artificial Neural Networks.

Authors:
Şaban Gülcü

Arab J Sci Eng 2021 Nov 10:1-25. Epub 2021 Nov 10.

Computer Engineering Department, Necmettin Erbakan University, Konya, Turkey.

The most important and demanding part of the artificial neural network is the training process which involves finding the most suitable values for the weights in the network architecture, a challenging optimization problem. Gradient approaches and the meta-heuristic approaches are two methods extensively used to optimize the weights in the network. Gradient approaches have serious disadvantages including getting stuck in local optima, inadequate exploration, etc. Read More

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November 2021

Specifying and Reporting Implementation Strategies Used in a School-Based Prevention Efficacy Trial.

Implement Res Pract 2021 Jan-Dec;2. Epub 2021 Nov 8.

Department of Mental Health and Department of Population, Family and Reproductive Health, Johns Hopkins Bloomberg School of Public Health.

Background: Implementation strategies used to enhance the implementation of interventions during efficacy and effectiveness studies are rarely reported. Tracking and reporting implementation strategies during these phases has potential to improve future research studies and real-world implementation. We present an exemplar of how this might be executed by specifying and reporting the implementation strategies that were used during a school-based efficacy trial, Project POWER, which tested a trauma-informed prevention program delivered by a university research team, community members, and school staff facilitators in 29 schools. Read More

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November 2021

Innovation-Oriented Medical School Curricula: Review of the Literature.

Cureus 2021 Oct 5;13(10):e18498. Epub 2021 Oct 5.

Anesthesiology, University of Florida College of Medicine, Gainesville, USA.

Innovation and entrepreneurship (I&E) programs in medical education have become available as medical schools recognize the need to train forward-thinking physicians. There is considerable diversity in the design and implementation of these curricula, which represents a challenge and possibly serves as a deterrent for the development of additional I&E programs. A comprehensive search of medical school I&E programs and review of all Association of American Medical Colleges member websites (n = 171) were conducted. Read More

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October 2021

Diversity begets diversity: Factors contributing to emergency medicine residency gender diversity.

AEM Educ Train 2021 Sep 29;5(Suppl 1):S73-S75. Epub 2021 Sep 29.

Department of Emergency Medicine University of Missouri-Columbia School of Medicine Columbia Missouri USA.

Background: Although the number of women entering medical school and emergency medicine (EM) residencies has increased, female physicians are still proportionally underrepresented in EM. The goal of this study was to determine if there was a relationship between resident gender and program leadership gender.

Methods: A survey of residency leadership and residents was completed, and multivariate factor analysis was performed. Read More

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September 2021

Artificial neural networks applied in fast-designing ultrabroad bandgap elliptical hole dielectric mode photonic crystal nanobeam cavity.

Appl Opt 2021 Oct;60(28):8977-8982

Artificial neural networks are employed to predict the band structure of the one-dimensional photonic crystal nanobeam, and to inverse-design the geometry structure with on-demand band edges. The data sets generated by 3D finite-difference time-domain based on elliptical-shaped hole nanobeams are used to train the networks and evaluate the networks' accuracy. Based on the well-trained forward prediction and inverse-design network, an ultrabroad bandgap elliptical hole dielectric mode nanobeam cavity is designed. Read More

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October 2021

A Scoping Review of Medical Laboratory Science and Simulation: Promoting a Path Forward with Best Practices.

Lab Med 2021 Oct 5. Epub 2021 Oct 5.

Department of Health Services Administration, School of Health Professions, University of Alabama at Birmingham, Birmingham, Alabama, USA.

Objective: In medical laboratory science, there is a need to enhance the clinical learning curriculum beyond laboratory skill and diagnostic interpretation competency. Incorporating simulation presents an opportunity to train and produce medical laboratory scientists with the skills to communicate and work effectively in an interprofessional healthcare team.

Methods: A scoping review was performed to (i) understand the landscape of research literature on medical laboratory science and simulation and (ii) provide a path for future research directions. Read More

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October 2021

Comparison of ANFIS and ANN modeling for predicting the water absorption behavior of polyurethane treated polyester fabric.

Heliyon 2021 Sep 15;7(9):e08000. Epub 2021 Sep 15.

Department of Fabric Engineering, Bangladesh University of Textiles, Dhaka 1208, Bangladesh.

Nowadays, the polyurethane and its derivatives are highly applied as a surface modification material onto the textile substrates in different forms to enhance the functional properties of the textile materials. The primary purpose of this study is to develop prediction models to model the absorption property of the textile substrate using the Adaptive Neuro-Fuzzy Inference System (ANFIS) and Artificial Neural Network (ANN) methods. In this study, polyurethane (PU) along with acrylic binder was applied on the dyed polyester knitted fabric to develop and validate the prediction models. Read More

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September 2021

Passenger exposure to respiratory aerosols in a train cabin: Effects of window, injection source, output flow location.

Sustain Cities Soc 2021 Dec 19;75:103280. Epub 2021 Aug 19.

Faculty of Mechanical Engineering, K.N. Toosi University of Technology, Pardis St., Vanak Sq., Tehran, Iran.

Nowadays the use of public transportation (PT) has been identified as high risk as due to the transfer of particles carrying the coronavirus from an infected passenger to others. This study puts forward a new computational framework for predicting the spread of droplets produced while the infected passenger talking inside the cabin of a train during various scenarios, including the changes in the outflows' location and the infected passenger's position. CFD was used to conduct the study, using the Euler-Lagrange approach to capture the transmission of particles, and Reynolds-averaged Navier-Stokes equations (RANS) to compute the airflow field. Read More

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December 2021

skillsChain: A Decentralized Application That Uses Educational Robotics and Blockchain to Disrupt the Educational Process.

Sensors (Basel) 2021 Sep 16;21(18). Epub 2021 Sep 16.

Intelligent Systems Laboratory, Department of Computer Science, Neapolis University Pafos, Pafos 8042, Cyprus.

Our epoch is continuously disrupted by the rapid technological advances in various scientific domains that aim to drive forward the Fourth Industrial Revolution. This disruption resulted in the introduction of fields that present advanced ways to train students as well as ways to secure the exchange of data and guarantee the integrity of those data. In this paper, a decentralized application (dApp), namely skillsChain, is introduced that utilizes Blockchain in educational robotics to securely track the development of students' skills so as to be transferable beyond the confines of the academic world. Read More

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September 2021

A Hybrid SVD-Based Denoising and Self-Adaptive TMSST for High-Speed Train Axle Bearing Fault Detection.

Sensors (Basel) 2021 Sep 8;21(18). Epub 2021 Sep 8.

State Key Laboratory of Mechanical Behavior and System Safety of Traffic Engineering Structures, Shijiazhuang Tiedao University, Shijiazhuang 050043, China.

Fault detection of axle bearings is crucial to promote the safe, efficient, and reliable running of high-speed trains. In recent decades, time-frequency analysis (TFA) techniques have been widely used in mechanical equipment fault diagnoses. Time-reassigned multisynchrosqueezing transform (TMSST), as a novel time-frequency representation (TFR) algorithm, is more suitable for dealing with strong frequency-varying signals. Read More

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September 2021

Extraction of Phenolic Compounds with Antioxidant Activity from Strawberries: Modelling with Artificial Neural Networks (ANNs).

Foods 2021 Sep 20;10(9). Epub 2021 Sep 20.

CERNAS Research Centre, Department of Food Industry, Polytechnic Institute of Viseu, 3504-510 Viseu, Portugal.

This research study focuses on the evaluation of the total phenolic compounds (TPC) and antioxidant activity (AOA) of strawberries according to different experimental extraction conditions by applying the Artificial Neural Networks (ANNs) technique. The experimental data were applied to train ANNs using feed- and cascade-forward backpropagation models with Levenberg-Marquardt (LM) and Bayesian Regulation (BR) algorithms. Three independent variables (solvent concentration, volume/mass ratio and extraction time) were used as ANN inputs, whereas the three variables of total phenolic compounds, DPPH and ABTS antioxidant activities were considered as ANN outputs. Read More

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September 2021

Development of a Cadaveric Multiport Model of Posterior Circulation Aneurysm Clipping for Neurosurgery and Otolaryngology Residents.

J Vis Exp 2021 09 3(175). Epub 2021 Sep 3.

Oregon Health & Science University;

Posterior circulation aneurysms are difficult to treat with the current methods of coiling and clipping. To address limitations in training, we developed a cadaveric model to train learners on endoscopic clipping of posterior circulation aneurysms. An endoscopic transclival approach (ETA) and a transorbital precaruncular approach (TOPA) to successfully access and clip aneurysms of the posterior circulation are described. Read More

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September 2021

Let's train CPR together: mandatory cardiopulmonary resuscitation competencies for undergraduate students in healthcare and education: A step forward to train schoolteachers.

Eur J Anaesthesiol 2021 10;38(10):1106-1107

From the Faculty of Education Sciences, Universidade de Santiago de Compostela, Spain (CA-G, ), CLINURSID research group, Psychiatry, Radiology, Public Health, Nursing and Medicine Department, Universidade de Santiago de Compostela, Spain (CA-G, AC-F, AR-N), Life Support and Simulation research group, Health Research Institute of Santiago, University Hospital of Santiago de Compostela-CHUS, Spain (CA-G, AC-F, AR-N), Faculty of Education, Pontifical University of Salamanca, Spain (SL-G) and Pediatric Critical, Intermediate and Palliative Care Section, Pediatric Department, University Hospital of Santiago de Compostela-CHUS, Spain (AR-N).

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October 2021

A Perturbed Postural Balance Test Using an Instrumented Treadmill - Precision and Accuracy of Belt Movement and Test-Retest Reliability of Balance Measures.

Front Sports Act Living 2021 27;3:688993. Epub 2021 Aug 27.

Department of Applied Physics, University of Eastern Finland, Kuopio, Finland.

A perturbed postural balance test can be used to investigate balance control under mechanical disturbances. The test is typically performed using purpose-built movable force plates. As instrumented treadmills become increasingly common in biomechanics laboratories and in clinical settings, these devices could be potentially used to assess and train balance control. Read More

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The Human Connectome Project: A retrospective.

Neuroimage 2021 Dec 8;244:118543. Epub 2021 Sep 8.

Washington University School of Medicine, St. Louis, MO, USA. Electronic address:

The Human Connectome Project (HCP) was launched in 2010 as an ambitious effort to accelerate advances in human neuroimaging, particularly for measures of brain connectivity; apply these advances to study a large number of healthy young adults; and freely share the data and tools with the scientific community. NIH awarded grants to two consortia; this retrospective focuses on the "WU-Minn-Ox" HCP consortium centered at Washington University, the University of Minnesota, and University of Oxford. In just over 6 years, the WU-Minn-Ox consortium succeeded in its core objectives by: 1) improving MR scanner hardware, pulse sequence design, and image reconstruction methods, 2) acquiring and analyzing multimodal MRI and MEG data of unprecedented quality together with behavioral measures from more than 1100 HCP participants, and 3) freely sharing the data (via the ConnectomeDB database) and associated analysis and visualization tools. Read More

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December 2021

Optimization of a Sports Activity Development Model Using Artificial Intelligence under New Curriculum Reform.

Int J Environ Res Public Health 2021 08 27;18(17). Epub 2021 Aug 27.

School of Physical Education Institute (Main Campus), Zhengzhou University, No. 100 Science Avenue, Zhengzhou 450001, China.

The recent curriculum reform in China puts forward higher requirements for the development of physical education. In order to further improve students' physical quality and motor skills, the traditional model was improved to address the lack of accuracy in motion recognition and detection of physical condition so as to assist teachers to improve students' physical quality. First, the physical education teaching activities required by the new curriculum reform were studied with regard to the actual needs of China's current social, political, and economic development; next, the application of artificial intelligence technology to physical education teaching activities was proposed; and finally, deep learning technology was studied and a human movement recognition model based on a long short-term memory (LSTM) neural network was established to identify the movement state of students in physical education teaching activities. Read More

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Protocol for a multi-phase, mixed methods study to develop and evaluate culturally adapted CBT to improve community mental health services for Canadians of south Asian origin.

Trials 2021 Sep 6;22(1):600. Epub 2021 Sep 6.

Department of Psychiatry, University of Toronto, Toronto, Canada.

Background: Canadians of South Asian (SA) origin comprise the largest racialized group in Canada, representing 25.6% of what Statistics Canada terms "visible minority populations". South Asian Canadians are disproportionately impacted by the social determinants of health, and this can result in high rates of mood and anxiety disorders. Read More

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September 2021

There and back again: The biosocial dynamics of returning from the field.

Am J Hum Biol 2021 Sep 1:e23673. Epub 2021 Sep 1.

Department of Anthropology, Princeton University, Princeton, New Jersey, USA.

Background: Leaving "home" to pursue fieldwork is a necessity but also a rite of passage for many biological anthropology/human biology scholars. Field-based scientists prepare for the potential changes to activity patterns, sleep schedules, social interactions, and more that come with going to the field. However, returning from extended fieldwork and the reverse-culture shock, discomforts, and mental shifts that are part of the return process can be jarring, sometimes traumatic experiences. Read More

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September 2021

A well-trained artificial neural network for predicting the rheological behavior of MWCNT-AlO (30-70%)/oil SAE40 hybrid nanofluid.

Sci Rep 2021 08 31;11(1):17696. Epub 2021 Aug 31.

Department of Mechanical Engineering, Khomeinishahr Branch, Islamic Azad University, Khomeinishahr, Iran.

In this study, the influence of different volume fractions ([Formula: see text]) of nanoparticles and temperatures on the dynamic viscosity ([Formula: see text]) of MWCNT-AlO (30-70%)/oil SAE40 hybrid nanofluid was examined by ANN. For this reason, the [Formula: see text] was derived for 203 various experiments through a series of experimental tests, including a combination of 7 different [Formula: see text], 6 various temperatures, and 5 shear rates. These data were then used to train an artificial neural network (ANN) to generalize results in the predefined ranges for two input parameters. Read More

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Inflation Prediction Method Based on Deep Learning.

Comput Intell Neurosci 2021 19;2021:1071145. Epub 2021 Aug 19.

School of Economics, Yunnan University, Kunming 650000, China.

Forward-looking forecasting of the inflation rate could help the central bank and other government departments to better use monetary policy to stabilize prices and prevent the impact of inflation on market entities, especially for low- and middle-income groups. It can also help financial institutions and investors better make investment decisions. In this sense, the forecast of inflation rate is of great significance. Read More

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Instance-Level Relative Saliency Ranking with Graph Reasoning.

IEEE Trans Pattern Anal Mach Intell 2021 Aug 26;PP. Epub 2021 Aug 26.

Conventional salient object detection models cannot differentiate the importance of different salient objects. Two works have proposed to detect saliency ranking by assigning different degrees of saliency to different objects. However, one of these models cannot differentiate object instances and the other focuses more on sequential attention shift order inference. Read More

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A criteria-based rehabilitation program for chronic mid-portion Achilles tendinopathy: study protocol for a randomised controlled trial.

BMC Musculoskelet Disord 2021 Aug 14;22(1):695. Epub 2021 Aug 14.

Université Côte d'Azur, LAMHESS, Nice, France.

Background: Achilles tendinopathy (AT) is a common overuse injury in running-related sports where patients experience pain and impaired function which can persist. A graded rehabilitation program has been successful in reducing pain and improving function to enable a return to sport. The aim of this study is to compare the effectiveness of a criteria-based rehabilitation program including strength and reactive strength targets, with a previously successful rehabilitation program on changes in pain and function using the Victorian Institute of Sport Assessment-Achilles (VISA-A) questionnaire. Read More

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Clinical Implications of Landing Distance on Landing Error Scoring System Scores.

J Athl Train 2021 Jun;56(6):572-577

Division of Health, Engineering, Computing and Science, Te Huataki Waiora School of Health, Adams Centre for High Performance, University of Waikato, New Zealand.

Context: The Landing Error Scoring System (LESS) screens for risk of noncontact anterior cruciate ligament injury. The LESS requires individuals to jump forward from a 30-cm box to a distance of 50% of their body height. However, different landing distances have been cited in the scientific literature. Read More

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Jumping a Moving Train: SARS-CoV-2 Evolution in Real Time.

J Pediatric Infect Dis Soc 2021 Aug 9. Epub 2021 Aug 9.

Division of Pediatric Infectious Diseases, Children's Hospital of Philadelphia, Philadelphia, Pennsylvania, USA.

The field of molecular epidemiology responded to the SARS-CoV-2 pandemic with an unrivaled amount of whole viral genome sequencing. By the time this sentence is published we will have well surpassed 1.5 million whole genomes, more than 4 times the number of all microbial whole genomes deposited in GenBank and 35 times the total number of viral genomes. Read More

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Metal artifact reduction in 2D CT images with self-supervised cross-domain learning.

Phys Med Biol 2021 08 23;66(17). Epub 2021 Aug 23.

Department of Radiation Oncology, Stanford University, United States of America.

The presence of metallic implants often introduces severe metal artifacts in the x-ray computed tomography (CT) images, which could adversely influence clinical diagnosis or dose calculation in radiation therapy. In this work, we present a novel deep-learning-based approach for metal artifact reduction (MAR). In order to alleviate the need for anatomically identical CT image pairs (i. Read More

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Minimum functional length analysis of k-mer based on BP neural network.

IEEE/ACM Trans Comput Biol Bioinform 2021 Jul 26;PP. Epub 2021 Jul 26.

BP neural network (BPNN), as a multilayer feed-forward network, can realize the deep cognition to target data and high accuracy to output results. However, there were still no related research of k-mer based on BPNN yet. In present study, BPNN was used to train and test binary classification data of each classification mode respectively. Read More

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