keyword
https://read.qxmd.com/read/38531995/research-on-collaborative-edge-network-service-migration-strategy-based-on-crowd-clustering
#21
JOURNAL ARTICLE
Junjie Cao, Zhiyong Yu, Bin Xue
The innovative application of Crowd Intelligent Devices (CIDS) in edge networks has garnered attention due to the rapid development of artificial intelligence and computer technology. This application offers users more reliable and low-latency computing services through computation offloading technology. However, the dynamic nature of network terminals and the limited coverage of edge servers pose challenges, such as data loss and service interruption. Furthermore, the high-speed mobility of intelligent terminals in the dynamic edge network environment further complicates the design of computation offloading and service migration strategies...
March 26, 2024: Scientific Reports
https://read.qxmd.com/read/38531495/rapid-discrimination-and-ratio-quantification-of-mixed-antibiotics-in-aqueous-solution-through-integrative-analysis-of-sers-spectra-via-cnn-combined-with-nn-en-model
#22
JOURNAL ARTICLE
Quan Yuan, Lin-Fei Yao, Jia-Wei Tang, Zhang-Wen Ma, Jing-Yi Mou, Xin-Ru Wen, Muhammad Usman, Xiang Wu, Liang Wang
INTRODUCTION: Abusing antibiotic residues in the natural environment has become a severe public health and ecological environmental problem. The side effects of its biochemical and physiological consequences are severe. To avoid antibiotic contamination in water, implementing universal and rapid antibiotic residue detection technology is critical to maintaining antibiotic safety in aquatic environments. Surface-enhanced Raman spectroscopy (SERS) provides a powerful tool for identifying small molecular components with high sensitivity and selectivity...
March 24, 2024: Journal of Advanced Research
https://read.qxmd.com/read/38531447/towards-interpretable-machine-learning-for-observational-quantification-of-soil-heavy-metal-concentrations-under-environmental-constraints
#23
JOURNAL ARTICLE
Yishan Sun, Shuisen Chen, Hao Jiang, Boxiong Qin, Dan Li, Kai Jia, Chongyang Wang
Monitoring heavy metal concentrations in soils is central to assessing agricultural production safety. Satellite observations permit inferring concentrations from spectrum, thereby contributing to the prevention and control of soil heavy metal pollution. However, heavy metals exhibit weak spectral responses, particularly at low and medium concentrations, and are predominantly influenced by other soil components. Machine learning (ML)-driven modelling can produce predictions but lacks interpretability. Here, we present an interpretable ML framework for concentration quantification modelling and investigated the contributions of spectral and environmental factors-pH and organic carbon-to the estimation of metals with multiple concentration gradients, as analysed through SHAP (SHapley Additive exPlanations) data derived from four learning-based scenarios...
March 24, 2024: Science of the Total Environment
https://read.qxmd.com/read/38531327/delivery-room-resuscitation-of-infants-with-congenital-diaphragmatic-hernia-lessons-learned-through-video-review
#24
JOURNAL ARTICLE
K Taylor Wild, Natalie Rintoul, Holly L Hedrick, Lauren Heimall, Leane Soorikian, Elizabeth E Foglia, Anne M Ades, Heidi M Herrick
INTRODUCTION: Delivery room (DR) interventions for infants with congenital diaphragmatic hernia (CDH) are not well described. This study sought to describe timing and order of DR interventions and identify system factors impacting CDH DR resuscitations using a human factors framework. METHODS: Single center observational study of video recorded CDH DR resuscitations documenting timing and order of interventions. The team used the Systems Engineering Initiative for Patient Safety (SEIPS) model to identify system factors impacting DR resuscitations and time to invasive ventilation...
March 26, 2024: Fetal Diagnosis and Therapy
https://read.qxmd.com/read/38531138/exploring-effects-of-carbon-nitrogen-and-phosphorus-on-greywater-treatment-by-polyculture-microalgae-using-response-surface-methodology-and-machine-learning
#25
JOURNAL ARTICLE
Aggarwal Mohit, Neelancherry Remya
The microalgae-based wastewater treatment is a promising technique that contribute to achieving sustainable development goals (SDGs), such as SDG-6, "Clean Water and Sanitation". However, it is strongly influenced by the initial composition of wastewater. In this study, the impact of initial organics and nutrient concentration on the removal of total organic carbon (TOC), total carbon (TC), ammonium (NH4 + ), total nitrogen (TN), and phosphate (PO4 3- ) from greywater using native polyculture microalgae was explored...
March 25, 2024: Journal of Environmental Management
https://read.qxmd.com/read/38530836/a-deeply-supervised-adaptable-neural-network-for-diagnosis-and-classification-of-alzheimer-s-severity-using-multitask-feature-extraction
#26
JOURNAL ARTICLE
Mohsen Ahmadi, Danial Javaheri, Matin Khajavi, Kasra Danesh, Junbeom Hur
Alzheimer's disease is the most prevalent form of dementia, which is a gradual condition that begins with mild memory loss and progresses to difficulties communicating and responding to the environment. Recent advancements in neuroimaging techniques have resulted in large-scale multimodal neuroimaging data, leading to an increased interest in using deep learning for the early diagnosis and automated classification of Alzheimer's disease. This study uses machine learning (ML) methods to determine the severity level of Alzheimer's disease using MRI images, where the dataset consists of four levels of severity...
2024: PloS One
https://read.qxmd.com/read/38530814/students-experience-of-interpersonal-interactions-quality-in-e-learning-a-qualitative-research
#27
JOURNAL ARTICLE
Rita Mojtahedzadeh, Shirin Hasanvand, Aeen Mohammadi, Sahar Malmir, Mehdi Vatankhah
BACKGROUND: Online Interaction is a critical characteristic of distance learning, and effective online communication models empower students. PURPOSE: This research aimed to explain students' experiences on the quality of interpersonal interactions in e-learning. METHOD: This study was conducted from November 2021 to October 2022. The qualitative descriptive design via conventional content analysis was utilized. Purposeful and maximum variation methods recruited sixteen participants from three medical science universities in Iran...
2024: PloS One
https://read.qxmd.com/read/38530399/improving-predictions-of-compound-amenability-for-liquid-chromatography-mass-spectrometry-to-enhance-non-targeted-analysis
#28
JOURNAL ARTICLE
Nathaniel Charest, Charles N Lowe, Christian Ramsland, Brian Meyer, Vicente Samano, Antony J Williams
Mass-spectrometry-based non-targeted analysis (NTA), in which mass spectrometric signals are assigned chemical identities based on a systematic collation of evidence, is a growing area of interest for toxicological risk assessment. Successful NTA results in better identification of potentially hazardous pollutants within the environment, facilitating the development of targeted analytical strategies to best characterize risks to human and ecological health. A supporting component of the NTA process involves assessing whether suspected chemicals are amenable to the mass spectrometric method, which is necessary in order to assign an observed signal to the chemical structure...
March 26, 2024: Analytical and Bioanalytical Chemistry
https://read.qxmd.com/read/38529848/risky-business-medical-students-feedback-seeking-behaviours-a-mixed-methods-study
#29
JOURNAL ARTICLE
Muirne Spooner, Ciarán Reinhardt, Fiona Boland, Samuel McConkey, Teresa Pawlikowska
There are differing views on how learners' feedback-seeking behaviours (FSB) develop during training. With globalisation has come medical student migration and programme internationalisation. Western-derived educational practices may prove challenging for diverse learner populations. Exploring undergraduate activity using a model of FSB may give insight into how FSB evolves and the influence of situational factors, such as nationality and site of study. Our findings seek to inform medical school processes that support feedback literacy...
December 31, 2024: Medical Education Online
https://read.qxmd.com/read/38529628/weather-and-the-city-machine-learning-for-predicting-and-attributing-fine-scale-air-quality-to-meteorological-and-urban-determinants
#30
JOURNAL ARTICLE
Firas Gerges, Maider Llaguno-Munitxa, Mark A Zondlo, Michel C Boufadel, Elie Bou-Zeid
Urban air quality persists as a global concern, with critical health implications. This study employs a combination of machine learning (gradient boosting regression, GBR) and spatial analysis to better understand the key drivers behind air pollution and its prediction and mitigation strategies. Focusing on New York City as a representative urban area, we investigate the interplay between urban characteristics and weather factors, showing that urban features, including traffic-related parameters and urban morphology, emerge as crucial predictors for pollutants closely associated with vehicular emissions, such as elemental carbon (EC) and nitrogen oxides (NO x )...
March 26, 2024: Environmental Science & Technology
https://read.qxmd.com/read/38529523/caregiver-encouragement-to-act-on-objects-is-related-with-crawling-infants-receptive-language
#31
JOURNAL ARTICLE
Lukas D Lopez, Eric A Walle
The progression from crawling to walking in infancy is associated with changes in infant language development. One possible explanation for such change is the infant's language environment. Prior research indicates that caregivers use more action directives with walking infants compared to crawling infants, but the relations of such parental speech with infant vocabulary is unknown. Here, we present findings from day-long home audio recordings (Study 1) and laboratory observations (Study 2) of same-aged crawling and walking infants to explore how caregiver language, specifically action directives, were associated with parent reported infant vocabulary size...
March 26, 2024: Infancy: the Official Journal of the International Society on Infant Studies
https://read.qxmd.com/read/38529442/internship-preparatory-clinical-course-a-timed-station-approach-to-bridging-the-theory-to-practice-gap
#32
JOURNAL ARTICLE
Ahmad Alrahmani, Fayez G Aldarsouni, Ghada I Alothman, Norah M Alsubaie
BACKGROUND: Medical students' transition to internship has a discernible gap in structured preparation, particularly in practical skill application. We introduced the internship preparatory clinical course (IPCC) to address this gap.  Methods: The course was conducted at the clinical skills and simulation center at King Saud University Medical City and included a total of eight skills distributed across four stations. It employs a timed-station methodology, inspired by the Observed Structured Clinical Examination, but innovatively adapted as a teaching method...
February 2024: Curēus
https://read.qxmd.com/read/38529212/clinical-experiences-of-staff-and-students-in-transitioning-from-in-person-to-blended-teaching
#33
JOURNAL ARTICLE
Melanie Nasseripour, Ana Angelova Volponi, Susha Rajadurai, Jonathan Turner, Muna Dahir Hassan, Anitha Bartlett, Jonathan San Diego
This paper describes some of the lessons learned during the COVID-19 pandemic from a study conducted with a group of clinical teachers and undergraduate dental students at the Faculty of Dentistry, Oral & Craniofacial Sciences (FoDOCS) at King's College London about the use of a combination of remote, online and in-person teaching methods that resumed from June 2020. In the narrative research, participants shared their experiences delivering online clinical workshops and their previous experiences delivering face-to-face sessions online, both during and before the pandemic...
2024: Front Oral Health
https://read.qxmd.com/read/38529028/an-easily-implemented-single-visit-survey-method-for-intermittently-available-and-imperfectly-detectable-wildlife-applied-to-the-florida-east-coast-diamondback-terrapin-malaclemys-terrapin-tequesta
#34
JOURNAL ARTICLE
Eric D Stolen, David R Breininger, Daniel J Breininger, Robert D Breininger
Single-visit surveys of plots are often used for estimating the abundance of species of conservation concern. Less-than-perfect availability and detection of individuals can bias estimates if not properly accounted for. We developed field methods and a Bayesian model that accounts for availability and detection bias during single-visit visual plot surveys. We used simulated data to test the accuracy of the method under a realistic range of generating parameters and applied the method to Florida's east coast diamondback terrapin in the Indian River Lagoon system, where they were formerly common but have declined in recent decades...
March 2024: Ecology and Evolution
https://read.qxmd.com/read/38528889/-medical-escape-games-experimenting-with-a-new-teaching-method
#35
JOURNAL ARTICLE
Pauline Larouche, Kevin Sweeney, Judith Lajeunesse
With escape games gaining in popularity, we decided to adapt the concept of an existing medical escape game to the needs of our family medicine residents, by simulating clinical situations and creating puzzles with medical content. This activity was a fun way to integrate theoretical learning while developing a number of CanMEDS roles. Overall, the residents were very satisfied with the topics chosen and the interactive aspect of the experience. This escape game requires few resources, is adaptable to different environments and can be adjusted according to students' needs...
February 2024: Canadian Medical Education Journal
https://read.qxmd.com/read/38528869/using-staged-teaching-and-assessment-approaches-to-facilitate-inter-university-collaboration-and-problem-based-learning
#36
JOURNAL ARTICLE
Henry Dawson, Gayle Davis, Kirstin Ross, Marie Vaganay Miller, Alastair Tomlinson
This article describes the segmented module design and problem-based learning approaches employed to enable parts of a higher education environmental health module (course) to be shared between universities in Wales, Northern Ireland, and Australia. The module requires students to identify the needs and assets of a community then design community-based interventions to address problems and undertake an evaluation of those interventions. Accreditation body and the degree program learning outcome requirements in the UK and Australia were found to hold many comparable knowledge, skills, and graduate attribute criteria, eliminating a potential barrier for international learning and teaching collaboration between higher education institutions...
2024: Frontiers in Public Health
https://read.qxmd.com/read/38528084/an-efficient-intrusion-detection-model-based-on-convolutional-spiking-neural-network
#37
JOURNAL ARTICLE
Zhen Wang, Fuad A Ghaleb, Anazida Zainal, Maheyzah Md Siraj, Xing Lu
Many intrusion detection techniques have been developed to ensure that the target system can function properly under the established rules. With the booming Internet of Things (IoT) applications, the resource-constrained nature of its devices makes it urgent to explore lightweight and high-performance intrusion detection models. Recent years have seen a particularly active application of deep learning (DL) techniques. The spiking neural network (SNN), a type of artificial intelligence that is associated with sparse computations and inherent temporal dynamics, has been viewed as a potential candidate for the next generation of DL...
March 25, 2024: Scientific Reports
https://read.qxmd.com/read/38527752/adolescents-flexibly-adapt-action-selection-based-on-controllability-inferences
#38
JOURNAL ARTICLE
Hillary A Raab, Noam Goldway, Careen Foord, Catherine A Hartley
From early in life, we encounter both controllable environments, in which our actions can causally influence the reward outcomes we experience, and uncontrollable environments, in which they cannot. Environmental controllability is theoretically proposed to organize our behavior. In controllable contexts, we can learn to proactively select instrumental actions that bring about desired outcomes. In uncontrollable environments, Pavlovian learning enables hard-wired, reflexive reactions to anticipated, motivationally salient events, providing "default" behavioral responses...
March 2024: Learning & Memory
https://read.qxmd.com/read/38527532/mapping-nationwide-concentrations-of-sulfate-and-nitrate-in-ambient-pm-2-5-in-south-korea-using-machine-learning-with-ground-observation-data
#39
JOURNAL ARTICLE
Sang-Jin Lee, Jeong-Tae Ju, Jong-Jae Lee, Chang-Keun Song, Sun-A Shin, Hae-Jin Jung, Hye Jung Shin, Sung-Deuk Choi
Particulate matter (PM) is a major air pollutant in Northeast Asia, with frequent high PM episodes. To investigate the nationwide spatial distribution maps of PM2.5 and secondary inorganic aerosols in South Korea, prediction models for mapping SO4 2- and NO3 - concentrations in PM2.5 were developed using machine learning with ground-based observation data. Specifically, the random forest algorithm was used in this study to predict the SO4 2- and NO3 - concentrations at 548 air quality monitoring stations located within the representative radii of eight intensive air quality monitoring stations...
March 23, 2024: Science of the Total Environment
https://read.qxmd.com/read/38527403/fast-real-time-monitoring-of-meat-freshness-based-on-fluorescent-sensing-array-and-deep-learning-from-development-to-deployment
#40
JOURNAL ARTICLE
Yuandong Lin, Ji Ma, Da-Wen Sun, Jun-Hu Cheng, Chenyue Zhou
A fluorescent sensor array (FSA) combined with deep learning (DL) techniques was developed for meat freshness real-time monitoring from development to deployment. The array was made up of copper metal nanoclusters (CuNCs) and fluorescent dyes, having a good ability in the quantitative and qualitative detection of ammonia, dimethylamine, and trimethylamine gases with a low limit of detection (as low as 131.56 ppb) in range of 5 ∼ 1000 ppm and visually monitoring the freshness of various meats stored at 4 °C...
March 21, 2024: Food Chemistry
keyword
keyword
15346
2
3
Fetch more papers »
Fetching more papers... Fetching...
Remove bar
Read by QxMD icon Read
×

Save your favorite articles in one place with a free QxMD account.

×

Search Tips

Use Boolean operators: AND/OR

diabetic AND foot
diabetes OR diabetic

Exclude a word using the 'minus' sign

Virchow -triad

Use Parentheses

water AND (cup OR glass)

Add an asterisk (*) at end of a word to include word stems

Neuro* will search for Neurology, Neuroscientist, Neurological, and so on

Use quotes to search for an exact phrase

"primary prevention of cancer"
(heart or cardiac or cardio*) AND arrest -"American Heart Association"

We want to hear from doctors like you!

Take a second to answer a survey question.