keyword
https://read.qxmd.com/read/38546259/virtual-reality-adaptive-training-for-personalized-stress-inoculation
#1
JOURNAL ARTICLE
Tor Finseth, Michael C Dorneich, Nir Keren, Warren D Franke, Stephen Vardeman
OBJECTIVE: To evaluate a personalized adaptive training program designed for stress prevention using graduated stress exposure. BACKGROUND: Astronauts in the high-risk space mission environment are prone to performance-impairing stress responses, making preemptive stress inoculation essential for their training. METHODS: This work developed an adaptive virtual reality-based system that adjusts environmental stressors based on real-time stress indicators to optimize training stress levels...
March 28, 2024: Human Factors
https://read.qxmd.com/read/38546136/effect-of-interlayer-bonding-on-superlubric-sliding-of-graphene-contacts-a-machine-learning-potential-study
#2
JOURNAL ARTICLE
Penghua Ying, Amir Natan, Oded Hod, Michael Urbakh
Surface defects and their mutual interactions are anticipated to affect the superlubric sliding of incommensurate layered material interfaces. Atomistic understanding of this phenomenon is limited due to the high computational cost of ab initio simulations and the absence of reliable classical force-fields for molecular dynamics simulations of defected systems. To address this, we present a machine-learning potential (MLP) for bilayer defected graphene, utilizing state-of-the-art graph neural networks trained against many-body dispersion corrected density functional theory calculations under iterative configuration space exploration...
March 28, 2024: ACS Nano
https://read.qxmd.com/read/38544250/data-driven-self-triggered-control-for-networked-motor-control-systems-using-rnns-and-pre-training-a-hierarchical-reinforcement-learning-framework
#3
JOURNAL ARTICLE
Wei Chen, Haiying Wan, Xiaoli Luan, Fei Liu
This paper introduces a novel data-driven self-triggered control approach based on a hierarchical reinforcement learning framework in networked motor control systems. This approach divides the self-triggered control policy into higher and lower layers, with the higher-level policy guiding the lower-level policy in decision-making, thereby reducing the exploration space of the lower-level policy and improving the efficiency of the learning process. The data-driven framework integrates with the dual-actor critic algorithm, using two interconnected neural networks to approximate the hierarchical policies...
March 20, 2024: Sensors
https://read.qxmd.com/read/38544170/pixrevive-latent-feature-diffusion-model-for-compressed-video-quality-enhancement
#4
JOURNAL ARTICLE
Weiran Wang, Minge Jing, Yibo Fan, Wei Weng
In recent years, the rapid prevalence of high-definition video in Internet of Things (IoT) systems has been directly facilitated by advances in imaging sensor technology. To adapt to limited uplink bandwidth, most media platforms opt to compress videos to bitrate streams for transmission. However, this compression often leads to significant texture loss and artifacts, which severely degrade the Quality of Experience (QoE). We propose a latent feature diffusion model (LFDM) for compressed video quality enhancement, which comprises a compact edge latent feature prior network (ELPN) and a conditional noise prediction network (CNPN)...
March 16, 2024: Sensors
https://read.qxmd.com/read/38540909/assessment-of-hygiene-management-practices-and-comparative-analysis-of-regulatory-frameworks-for-shared-kitchens-across-different-countries
#5
JOURNAL ARTICLE
Yu Jin Na, Jin Young Baek, So Young Gwon, Ki Sun Yoon
Shared kitchens, where users share kitchen space, are becoming popular worldwide due to the economic cost savings of startup businesses. This study conducted monitoring of microbial and chemical hazards from prepared foods and the environment of shared kitchen facilities, surveyed shared kitchen operators, and compared shared kitchen regulations between Korea and other countries. The monitoring results indicate that the hygiene status of the facilities and the microbial and chemical hazards in the prepared foods were all within the standard specifications, showing significantly lower levels compared to regular restaurants ( p < 0...
March 18, 2024: Foods (Basel, Switzerland)
https://read.qxmd.com/read/38539070/slideflow-deep-learning-for-digital-histopathology-with-real-time-whole-slide-visualization
#6
JOURNAL ARTICLE
James M Dolezal, Sara Kochanny, Emma Dyer, Siddhi Ramesh, Andrew Srisuwananukorn, Matteo Sacco, Frederick M Howard, Anran Li, Prajval Mohan, Alexander T Pearson
Deep learning methods have emerged as powerful tools for analyzing histopathological images, but current methods are often specialized for specific domains and software environments, and few open-source options exist for deploying models in an interactive interface. Experimenting with different deep learning approaches typically requires switching software libraries and reprocessing data, reducing the feasibility and practicality of experimenting with new architectures. We developed a flexible deep learning library for histopathology called Slideflow, a package which supports a broad array of deep learning methods for digital pathology and includes a fast whole-slide interface for deploying trained models...
March 27, 2024: BMC Bioinformatics
https://read.qxmd.com/read/38535315/machine-learning-to-predict-enzyme-substrate-interactions-in-elucidation-of-synthesis-pathways-a-review
#7
REVIEW
Luis F Salas-Nuñez, Alvaro Barrera-Ocampo, Paola A Caicedo, Natalie Cortes, Edison H Osorio, Maria F Villegas-Torres, Andres F González Barrios
Enzyme-substrate interactions play a fundamental role in elucidating synthesis pathways and synthetic biology, as they allow for the understanding of important aspects of a reaction. Establishing the interaction experimentally is a slow and costly process, which is why this problem has been addressed using computational methods such as molecular dynamics, molecular docking, and Monte Carlo simulations. Nevertheless, this type of method tends to be computationally slow when dealing with a large search space...
March 7, 2024: Metabolites
https://read.qxmd.com/read/38535070/comparison-between-ultrasound-guided-and-palpatory-localization-of-the-dorsal-joint-space-of-the-shoulder-joint
#8
JOURNAL ARTICLE
Stephan Stein, Andreas Weimer, Svenja Berthold, Johannes Matthias Weimer, Arnold J Suda, Christopher Tuffs, Gerhard Schmidmaier, Christian T Schamberger
AIM OF THE STUDY: Arthroscopy ranks among the frequently performed interventions in orthopedics. The aim of this study was to compare the palpation technique with the ultrasound technique for locating the dorsal glenohumeral joint space (JS) in shoulder joint punctures. MATERIAL AND METHODS: Participants inexperienced in ultrasound examinations were included. Palpatory and ultrasound finding of the joint space by the participants was performed according to current recommendations and was initially demonstrated by an instructional video...
March 20, 2024: Diagnostics
https://read.qxmd.com/read/38534873/adhd-aid-aiding-tool-for-detecting-children-s-attention-deficit-hyperactivity-disorder-via-eeg-based-multi-resolution-analysis-and-feature-selection
#9
JOURNAL ARTICLE
Omneya Attallah
The severe effects of attention deficit hyperactivity disorder (ADHD) among adolescents can be prevented by timely identification and prompt therapeutic intervention. Traditional diagnostic techniques are complicated and time-consuming because they are subjective-based assessments. Machine learning (ML) techniques can automate this process and prevent the limitations of manual evaluation. However, most of the ML-based models extract few features from a single domain. Furthermore, most ML-based studies have not examined the most effective electrode placement on the skull, which affects the identification process, while others have not employed feature selection approaches to reduce the feature space dimension and consequently the complexity of the training models...
March 20, 2024: Biomimetics
https://read.qxmd.com/read/38534568/enhanced-nuclei-segmentation-and-classification-via-category-descriptors-in-the-sam-model
#10
JOURNAL ARTICLE
Miguel Luna, Philip Chikontwe, Sang Hyun Park
Segmenting and classifying nuclei in H&E histopathology images is often limited by the long-tailed distribution of nuclei types. However, the strong generalization ability of image segmentation foundation models like the Segment Anything Model (SAM) can help improve the detection quality of rare types of nuclei. In this work, we introduce category descriptors to perform nuclei segmentation and classification by prompting the SAM model. We close the domain gap between histopathology and natural scene images by aligning features in low-level space while preserving the high-level representations of SAM...
March 21, 2024: Bioengineering
https://read.qxmd.com/read/38534542/seed-train-optimization-in-microcarrier-based-cell-culture-post-in-situ-cell-detachment-through-scale-down-hybrid-modeling
#11
JOURNAL ARTICLE
Atefeh Ebrahimian, Mona Schalk, Mark Dürkop, Michael Maurer, Rudolf Bliem, Harald Kühnel
Microcarrier-based cell culture is a commonly used method to facilitate the growth of anchorage-dependent cells like MA 104 for antigen manufacturing. However, conventionally, static cell culture is employed for cell propagation before seeding the production bioreactor with microcarriers (MCs). This study demonstrates the effective replacement of the conventional method by serial subculturing on MCs with in situ cell detachment under optimal conditions in closed culture units. This study proves that MA 104 can be subcultured at least five times on Cytodex 1 MC without the need for separating cells and MC after cell harvest...
March 9, 2024: Bioengineering
https://read.qxmd.com/read/38534537/joint-representation-learning-for-retrieval-and-annotation-of-genomic-interval-sets
#12
JOURNAL ARTICLE
Erfaneh Gharavi, Nathan J LeRoy, Guangtao Zheng, Aidong Zhang, Donald E Brown, Nathan C Sheffield
As available genomic interval data increase in scale, we require fast systems to search them. A common approach is simple string matching to compare a search term to metadata, but this is limited by incomplete or inaccurate annotations. An alternative is to compare data directly through genomic region overlap analysis, but this approach leads to challenges like sparsity, high dimensionality, and computational expense. We require novel methods to quickly and flexibly query large, messy genomic interval databases...
March 8, 2024: Bioengineering
https://read.qxmd.com/read/38534500/motion-artifact-reduction-using-u-net-model-with-three-dimensional-simulation-based-datasets-for-brain-magnetic-resonance-images
#13
JOURNAL ARTICLE
Seong-Hyeon Kang, Youngjin Lee
This study aimed to remove motion artifacts from brain magnetic resonance (MR) images using a U-Net model. In addition, a simulation method was proposed to increase the size of the dataset required to train the U-Net model while avoiding the overfitting problem. The volume data were rotated and translated with random intensity and frequency, in three dimensions, and were iterated as the number of slices in the volume data. Then, for every slice, a portion of the motion-free k-space data was replaced with motion k-space data, respectively...
February 27, 2024: Bioengineering
https://read.qxmd.com/read/38533738/graphene-oxide-dna-graphene-oxide-pdda-sandwiched-membranes-with-neuromorphic-function
#14
JOURNAL ARTICLE
Jia Hui Bong, Sergey Grebenchuk, Konstantin G Nikolaev, Celestine P T Chee, Kou Yang, Siyu Chen, Denis Baranov, Colin R Woods, Daria V Andreeva, Kostya S Novoselov
The behavior of polyelectrolytes in confined spaces has direct relevance to the protein mediated ion transport in living organisms. In this paper, we govern lithium chloride transport by the interface provided by polyelectrolytes, polycation, poly(diallyldimethylammonium chloride) (PDDA) and, polyanion, double stranded deoxyribonucleic acid (dsDNA), in confined graphene oxide (GO) membranes. Polyelectrolyte-GO interfaces demonstrate neuromorphic functions that were successfully applied with nanochannel ion interactions contributed, resulting in ion memory effects...
March 27, 2024: Nanoscale Horizons: the Home for Rapid Reports of Exceptional Significance in Nanoscience and Nanotechnolgy
https://read.qxmd.com/read/38533699/business-continuity-plan-in-the-management-and-operations-of-hospitals-first-experience-to-certify-the-pdta-processes-with-the-requirements-defined-by-iso-22301-2019-in-emergency-medical-services
#15
JOURNAL ARTICLE
Lucio Dell'Atti, Roberto Papa, Leonardo Incicchitti, Maria Katia Zanni, Andrea Zampa, Michele Caporossi
BACKGROUND: A business continuity plan (BCP) facilitates the performance of primary functions during emergencies or other situations that can disrupt normal operations. If risk management is done analytically, a business impact analysis (BIA), according to ISO 22301 certification, makes it possible to define the best strategy for supporting the company's assets and image, optimizing the operational efficiency of service recovery and redesigning spaces for health. Since 2015, our healthcare company has embarked on a certification process for all sectors and activities through the implementation and development of diagnostic and therapeutic paths for operational diagnos-tic-therapeutic-assistance pathways (PDTAs)...
2024: Journal of Emergency Management: JEM
https://read.qxmd.com/read/38533213/decoding-emotional-responses-to-ai-generated-architectural-imagery
#16
JOURNAL ARTICLE
Zhihui Zhang, Josep M Fort, Lluis Giménez Mateu
INTRODUCTION: The integration of AI in architectural design represents a significant shift toward creating emotionally resonant spaces. This research investigates AI's ability to evoke specific emotional responses through architectural imagery and examines the impact of professional training on emotional interpretation. METHODS: We utilized Midjourney AI software to generate images based on direct and metaphorical prompts across two architectural settings: home interiors and museum exteriors...
2024: Frontiers in Psychology
https://read.qxmd.com/read/38533014/detection-of-activities-in-bathrooms-through-deep-learning-and-environmental-data-graphics-images
#17
JOURNAL ARTICLE
David Marín-García, David Bienvenido-Huertas, Juan Moyano, Carlos Rubio-Bellido, Carlos E Rodríguez-Jiménez
Automatic detection activities in indoor spaces has been and is a matter of great interest. Thus, in the field of health surveillance, one of the spaces frequently studied is the bathroom of homes and specifically the behaviour of users in the said space, since certain pathologies can sometimes be deduced from it. That is why, the objective of this study is to know if it is possible to automatically classify the main activities that occur within the bathroom, using an innovative methodology with respect to the methods used to date, based on environmental parameters and the application of machine learning algorithms, thus allowing privacy to be preserved, which is a notable improvement in relation to other methods...
March 30, 2024: Heliyon
https://read.qxmd.com/read/38532795/spatiotemporal-analysis-and-forecasting-of-lumpy-skin-disease-outbreaks-in-ethiopia-based-on-retrospective-outbreak-reports
#18
JOURNAL ARTICLE
Shimels Tesfaye, Fikru Regassa, Gashaw Beyene, Samson Leta, Jan Paeshuyse
INTRODUCTION: Lumpy skin disease is a viral disease that affects cattle belonging to genus Capripoxvirus (Poxviridae) and lead to significant economic losses. OBJECTIVE: The objective of this study was to evaluate the distribution of lumpy skin disease (LSD) outbreaks and predict future patterns based on retrospective outbreak reports in Ethiopia. METHODS: Data were collected through direct communication with regional laboratories and a hierarchical reporting system from the Peasant Associations to Ministry of Agriculture...
2024: Frontiers in Veterinary Science
https://read.qxmd.com/read/38531213/quantifying-emergency-department-nursing-workload-at-the-task-level-using-nasa-tlx-an-exploratory-descriptive-study
#19
JOURNAL ARTICLE
Sookyung Park, Junsang Yoo, Yerim Lee, Pamela Baker DeGuzman, Min-Jeoung Kang, Patricia C Dykes, So Yeon Shin, Won Chul Cha
BACKGROUND: Emergency departments (ED) nurses experience high mental workloads because of unpredictable work environments; however, research evaluating ED nursing workload using a tool incorporating nurses' perception is lacking. Quantify ED nursing subjective workload and explore the impact of work experience on perceived workload. METHODS: Thirty-two ED nurses at a tertiary academic hospital in the Republic of Korea were surveyed to assess their subjective workload for ED procedures using the National Aeronautics and Space Administration Task Load Index (NASA-TLX)...
March 25, 2024: International Emergency Nursing
https://read.qxmd.com/read/38530895/distilling-dynamical-knowledge-from-stochastic-reaction-networks
#20
JOURNAL ARTICLE
Chuanbo Liu, Jin Wang
Stochastic reaction networks are widely used in the modeling of stochastic systems across diverse domains such as biology, chemistry, physics, and ecology. However, the comprehension of the dynamic behaviors inherent in stochastic reaction networks is a formidable undertaking, primarily due to the exponential growth in the number of possible states or trajectories as the state space dimension increases. In this study, we introduce a knowledge distillation method based on reinforcement learning principles, aimed at compressing the dynamical knowledge encoded in stochastic reaction networks into a singular neural network construct...
April 2, 2024: Proceedings of the National Academy of Sciences of the United States of America
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