keyword
https://read.qxmd.com/read/38552979/machine-learning-based-prediction-and-experimental-validation-of-heavy-metal-adsorption-capacity-of-bentonite
#21
JOURNAL ARTICLE
Lisheng Guo, Xin Xu, Cencen Niu, Qing Wang, Junboum Park, Lu Zhou, Haomin Lei, Xinhai Wang, Xiaoqing Yuan
As a natural adsorbent material, bentonite is widely used in the field of heavy metal adsorption. The heavy metal adsorption capacity of bentonite varies significantly in studies due to the differences in the properties of bentonite, solution, and heavy metal. To achieve accurate predictions of bentonite's heavy metal adsorption capacity, this study employed six machine learning (ML) regression algorithms to investigate the adsorption characteristics of bentonite. Finally, an eXtreme Gradient Boosting Regression (XGB) model with outstanding predictive performance was constructed...
March 27, 2024: Science of the Total Environment
https://read.qxmd.com/read/38552821/does-the-shape-of-the-copper-intrauterine-device-play-a-role-in-expulsion-results-from-the-ongoing-european-active-surveillance-study-on-lcs12
#22
JOURNAL ARTICLE
Tanja Boehnke, Anja Bauerfeind, Lisa Eggebrecht, Camille Cellier, Jens A Lange, Klaas Heinemann, Tessa Madden
OBJECTIVE: To compare the incidence of expulsion for different copper intrauterine device (IUD) shapes. STUDY DESIGN: We conducted a secondary analysis of the ongoing, prospective, non-interventional European Active Surveillance Study on LCS12 (EURAS-LCS12). Users of newly inserted IUDs were recruited in 10 European countries via a network of approximately 1,200 clinicians. We restricted the analysis to copper IUD users. In the main analysis, we classified copper IUDs by shape [Nova-T frame, Tatum-T frame, Multiload frame, frameless IUDs and intrauterine balls], without differentiation of size...
March 27, 2024: Contraception
https://read.qxmd.com/read/38549947/enhancing-walking-efficiency-of-adolescents-with-neurological-impairments-using-an-exosuit-for-ambulatory-activities-of-daily-living
#23
JOURNAL ARTICLE
Chiara Basla, Giulia Mariani, Peter Wolf, Robert Riener, Hubertus J A van Hedel
Introduction: Children and adolescents with neurological impairments face reduced participation and independence in daily life activities due to walking difficulties. Existing assistive devices often offer insufficient support, potentially leading to wheelchair dependence and limiting physical activity and daily life engagement. Mobile wearable robots, such as exoskeletons and exosuits, have shown promise in supporting adults during activities of daily living but are underexplored for children. Methods: We conducted a cross-sectional study to examine the potential of a cable-driven exosuit, the Myosuit, to enhance walking efficiency in adolescents with diverse ambulatory impairments...
2024: Frontiers in Robotics and AI
https://read.qxmd.com/read/38541616/intense-short-video-based-social-media-use-reduces-the-p300-event-related-potential-component-in-a-visual-oddball-experiment-a-sign-for-reduced-attention
#24
JOURNAL ARTICLE
Peter Walla, Yu Zheng
The birth and following growth of social media platforms has influenced a lot. In addition to beneficial features, it has long-been noticed that heavy consumption of social media can have negative effects beyond a simple lack of time for other things. Of particular interest is the idea that consuming short videos lasting only fractions of a minute and watched one after another can lead to deficits in concentration and attention. Completing the existing literature that already reports evidence for attention deficits related to heavy social media use, the present study aims to contribute to this acute topic by adding neurophysiological data to it...
February 22, 2024: Life
https://read.qxmd.com/read/38533737/combined-effects-of-smoking-and-alcohol-consumption-on-the-risk-of-liver-cancer-according-to-metabolic-syndrome-a-nested-case-control-study-in-south-korea
#25
JOURNAL ARTICLE
Thi Tra Bui, Eunjung Park, Hee-Yeon Kang, Jin-Kyoung Oh
Tobacco and alcohol may interact to increase the risk of liver cancer, which might be modified by other risk factors. Their combined effects in the context of metabolic syndrome (MetS) remain unclear. Given the increasing prevalence of MetS, this nested case-control study was conducted to evaluate the combined effects of smoking and alcohol consumption on liver cancer risk with stratification by MetS. We included 15,352 liver cancer patients and 92,112 matched controls who attended the nationwide general health examination during 2009-2019, using a customized database (N = 5,545,835) from the Korean National Health Insurance Service...
March 27, 2024: International Journal of Cancer. Journal International du Cancer
https://read.qxmd.com/read/38476740/depression-risk-in-users-of-different-doses-of-levonorgestrel-intrauterine-systems-a-nationwide-prospective-cohort-study
#26
JOURNAL ARTICLE
Charlotte Wessel Skovlund, Amalie Lykkemark Møller, Christian Torp-Pedersen, Lina Steinrud Mørch, Amani Meaidi
BACKGROUND: Use of the high-dose levonorgestrel-releasing intrauterine system (LNG-IUS) has been associated with increased risk of incident depression. Evidence is lacking on the influence of use of two recently marketed low-dose LNG-IUS on risk of depression. This study aims to examine associations between use of different doses of LNG-IUS and risk of depression. METHODS: We conducted a nationwide prospective cohort study involving all first-time users of an LNG-IUS among all Danish nulliparous women aged 15-34 years with no medical history of depression, major psychiatric diseases, endometriosis, heavy menstrual bleeding, polyp, myoma, dysmenorrhoea, iron supplement use, abortion, and infertility treatment...
March 2024: The Lancet regional health. Europe
https://read.qxmd.com/read/38475052/influence-of-blind-spot-assistance-systems-in-heavy-commercial-vehicles-on-accident-reconstruction
#27
JOURNAL ARTICLE
Thomas König, Daniel Paula, Stefan Quaschner, Hans-Georg Schweiger
Accidents between right-turning commercial vehicles and crossing vulnerable road users (VRUs) in urban environments often lead to serious or fatal injuries and therefore play a significant role in forensic accident analysis. To reduce the risk of accidents, blind spot assistance systems have been installed in commercial vehicles for several years, among other things, to detect VRUs and warn the driver in time. However, since such systems cannot reliably prevent all turning accidents, an investigation by experts must clarify how the accident occurred and to what extent the blind spot assistance system influenced the course of the accident...
February 26, 2024: Sensors
https://read.qxmd.com/read/38460852/the-application-of-machine-learning-methods-for-prediction-of-heavy-metal-by-activated-carbons-biochars-and-carbon-nanotubes
#28
JOURNAL ARTICLE
Xinlong Long, Xiaoliu Huangfu, Ruixing Huang, Youheng Liang, Sisi Wu, Jingrui Wang
Carbonaceous materials are commonly used as adsorbents for heavy metals. The determination of the adsorption capacity needs time and energy, and the key factors affecting the adsorption capacity have not been determined. Therefore, a new and efficient method is needed to predict the adsorption capacity and explore the decisive factors in the adsorption process. In this study, three tree-based machine learning models (i.e., random forest, gradient boosting decision tree, and extreme gradient boosting) were developed to predict the adsorption capacity of eight heavy metals (i...
March 7, 2024: Chemosphere
https://read.qxmd.com/read/38452518/effects-of-arm-support-exoskeletons-on-pointing-accuracy-and-movement
#29
JOURNAL ARTICLE
Balagopal Raveendranath, Christopher C Pagano, Divya Srinivasan
Exoskeletons are wearable devices that support or augment users' physical abilities. Previous studies indicate that they reduce the physical demands of repetitive tasks such as those involving heavy material handling, work performed with arms elevated, and the use of heavy tools. However, there have been concerns about exoskeletons hindering movement and reducing its precision. To this end, the current study investigated how proprioception enables people to point to targets in a blindfolded, repetitive pointing task, and their ability to recalibrate their pointing movement based on visual feedback during an intervening calibration phase, both with and without an arm-support exoskeleton...
March 6, 2024: Human Movement Science
https://read.qxmd.com/read/38430050/prevalence-of-self-reported-severe-periodontitis-data-from-the-population-based-constances-cohort
#30
JOURNAL ARTICLE
Emmanuel Wiernik, Adeline Renuy, Sofiane Kab, Philippe Gabriel Steg, Marcel Goldberg, Marie Zins, Giuseppina Caligiuri, Philippe Bouchard, Maria Clotilde Carra
AIM: To assess the prevalence of severe periodontitis based on the population-based CONSTANCES cohort using a validated self-reported questionnaire. MATERIALS AND METHODS: Individuals were selected from the adult population in France using a random sampling scheme. Analyses were restricted to those invited in 2013-2014 who completed the periodontal health questionnaire at the 2017 follow-up. The risk of severe periodontitis was assessed using the periodontal screening score (PESS) and weighting coefficients were applied to provide representative results in the general French population...
March 2, 2024: Journal of Clinical Periodontology
https://read.qxmd.com/read/38427548/emg-based-multi-user-hand-gesture-classification-via-unsupervised-transfer-learning-using-unknown-calibration-gestures
#31
JOURNAL ARTICLE
Haojie Shi, Xinyu Jiang, Chenyun Dai, Wei Chen
The poor generalization performance and heavy training burden of the gesture classification model contribute as two main barriers that hinder the commercialization of sEMG-based human-machine interaction (HMI) systems. To overcome these challenges, eight unsupervised transfer learning (TL) algorithms developed on the basis of convolutional neural networks (CNNs) were explored and compared on a dataset consisting of 10 gestures from 35 subjects. The highest classification accuracy obtained by CORrelation Alignment (CORAL) reaches more than 90%, which is 10% higher than the methods without using TL...
March 1, 2024: IEEE Transactions on Neural Systems and Rehabilitation Engineering
https://read.qxmd.com/read/38425776/acute-toxic-hippocampal-encephalopathy-in-heavy-cannabis-users-a-case-report
#32
Hajar Zebbakh, Kaoutar Imrani, Fatimazohra Benbrahim, Nabil Moatassim Billah, Ittimade Nassar
Cannabis use is increasing rapidly among young people worldwide despite the deleterious effects of this toxic substance on health. We report a case of acute hippocampal encephalopathy in a heavy cannabis user (8-10 joints/d for 6 years) who presented with a nonfebrile status epilepticus. Brain magnetic resonance imaging revealed bilateral and symmetrical high-signal abnormalities in the hippocampal regions. The damage to these regions is often severe, long-lasting, and sometimes irreversible. Therefore, every doctor (emergency doctor, resuscitator, neurologist...
May 2024: Radiology Case Reports
https://read.qxmd.com/read/38413910/implementation-of-redcap-mobile-app-in-an-oral-hiv-clinical-study
#33
JOURNAL ARTICLE
Ana Lucia Seminario, Ashley E Karczewski, Sara Stanley, Javier Valencia Huamani, Juan José Montenegro, Karla Tafur, Ana Bautista Julca, Frederick L Altice
BACKGROUND: In Peru, HIV cases are highly concentrated among men who have sex with men (MSM). Despite the availability of anti-retroviral therapy, people living with HIV (PWH) have higher levels of oral diseases. Alcohol use disorder (AUD) is significantly present among PWH. Our overarching goal was to generate foundational evidence on the association of AUD and oral health in MSM with HIV and enhance research capacity for future intersectional research on AUD, oral health and HIV. Our specific aim was to implement an on-site electronic data collection system through the use of a REDCap Mobile App in a low-middle income country (LMIC) setting...
February 28, 2024: BMC Public Health
https://read.qxmd.com/read/38404750/attentional-biases-and-their-association-with-substance-use-related-problems-and-addictive-behaviors-the-utility-of-a-gamified-value-modulated-attentional-capture-task
#34
JOURNAL ARTICLE
René Freichel, Erynn Christensen, Lana Mrkonja, Peter J de Jong, Janna Cousijn, Ingmar Franken, Murat Yücel, Rico Lee, Ilya M Veer, Lucy Albertella, Reinout W Wiers
BACKGROUND: Attentional biases towards reward stimuli have been implicated in substance use-related problems. The value-modulated attentional capture (VMAC) task assesses such reward-related biases. The VMAC task widely used in lab studies tends to be monotonous and susceptible to low effort. We therefore tested a gamified online version of the VMAC that aimed to increase participant engagement. Our goal was to examine how VMAC is associated with substance use-related problems and addictive behaviors, and whether this association is moderated by cognitive control...
June 2024: Addictive Behaviors Reports
https://read.qxmd.com/read/38370242/assessing-yield-performance-and-stability-of-local-sorghum-genotypes-a-methodological-framework-combining-multi-environment-trials-and-participatory-multi-trait-evaluation
#35
REVIEW
Clarisse Pulchérie Kondombo, Pierre Kaboré, David Kambou, Issaka Ouédraogo
Sorghum grain is a vital staple cereal crop for food and nutritional security for rural households in Burkina Faso. However, its yields are regularly affected by environmental and socio-economic constraints. Here, we aim to assess the performance and grain yield stability of local sorghum genotypes, as well as their acceptability by smallholder farmers. Nine genotypes were assessed across five environments in the North-Sudanian zone (700-900 mm) in Burkina Faso during the 2019, 2020, and 2021 rainy seasons...
February 29, 2024: Heliyon
https://read.qxmd.com/read/38359540/computational-simulation-of-transcranial-magnetic-stimulation-induced-electric-fields-in-the-dorsolateral-prefrontal-cortex-of-heavy-cannabis-using-individuals
#36
JOURNAL ARTICLE
Jack Jiaqi Zhang, Zhongfei Bai, Dalinda Isabel Sánchez Vidaña, Janna Cousijn, Kenneth N K Fong
We aimed to investigate the influence of demographic and clinical modulators on the strength of transcranial magnetic stimulation (TMS)-induced electric fields (EFs) in the left dorsolateral prefrontal cortex (lDLPFC) in heavy cannabis using individuals. Structural T1-weighted magnetic resonance imaging scans of 20 heavy cannabis using individuals and 22 non-cannabis users (the controls) in the age range of 18-25 were retrieved. Computational simulations of TMS-induced EFs in the lDLPFC were performed. No significant difference in the strength of TMS-induced EFs was observed between heavy cannabis using individuals and the controls...
February 9, 2024: Asian Journal of Psychiatry
https://read.qxmd.com/read/38356765/willingness-to-reduce-alcohol-consumption-predicted-by-short-form-video-exposure-media-involvement-psychological-bias-and-cognitive-factor
#37
JOURNAL ARTICLE
Donghwa Chung, Yanfang Meng
INTRODUCTION: Through previous studies, Chinese college students are known to be prone to alcohol consumption, which can lead to health-risk behaviors such as high blood pressure, heart disease, stroke, liver disease, and digestive problems. However, little is known about how popular social media platforms (e.g., short-form video applications) can positively impact their willingness to reduce alcohol consumption. This study was guided by the theory of optimistic bias; we investigated the direct, mediated, and moderating effects of exposure to anti-alcohol consumption short-form videos and short-form video involvement on Chinese college students' willingness to reduce their alcohol consumption...
2024: Frontiers in Psychology
https://read.qxmd.com/read/38349876/causally-estimating-the-effect-of-youtube-s-recommender-system-using-counterfactual-bots
#38
JOURNAL ARTICLE
Homa Hosseinmardi, Amir Ghasemian, Miguel Rivera-Lanas, Manoel Horta Ribeiro, Robert West, Duncan J Watts
In recent years, critics of online platforms have raised concerns about the ability of recommendation algorithms to amplify problematic content, with potentially radicalizing consequences. However, attempts to evaluate the effect of recommenders have suffered from a lack of appropriate counterfactuals-what a user would have viewed in the absence of algorithmic recommendations-and hence cannot disentangle the effects of the algorithm from a user's intentions. Here we propose a method that we call "counterfactual bots" to causally estimate the role of algorithmic recommendations on the consumption of highly partisan content on YouTube...
February 20, 2024: Proceedings of the National Academy of Sciences of the United States of America
https://read.qxmd.com/read/38345218/an-automated-culture-system-for-maintaining-and-differentiating-human-induced-pluripotent-stem-cells
#39
JOURNAL ARTICLE
Kazunori Bando, Hiromi Yamashita, Fumiyuki Hattori
Human induced pluripotent stem cells (hiPSCs) with infinite self-proliferating ability have been expected to have applications in numerous fields, including the elucidation of rare disease pathologies, the development of new medicines, and regenerative medicine aiming to restore damaged organs. Despite this, the social implementation of hiPSCs is still limited. This is partly because of the difficulty of reproducing differentiation in culture, even with advanced knowledge and sophisticated technical skills, due to the high sensitivity of iPSCs to minute environmental changes...
January 26, 2024: Journal of Visualized Experiments: JoVE
https://read.qxmd.com/read/38341892/machine-learning-based-prediction-of-heavy-metal-immobilization-rate-in-the-solidification-stabilization-of-municipal-solid-waste-incineration-fly-ash-mswifa-by-geopolymers
#40
JOURNAL ARTICLE
Lisheng Guo, Xin Xu, Qing Wang, Junboum Park, Haomin Lei, Lu Zhou, Xinhai Wang
Geopolymer is an environmentally friendly solidification/stabilization (S/S) binder, exhibiting significant potential for immobilizing heavy metals in municipal solid waste incineration fly ash (MSWIFA). However, due to the diversity in geopolymer raw materials and heavy metal properties, predicting the heavy metal immobilization rate proves to be challenging. In order to enhance the application of geopolymers in immobilizing heavy metals in MSWIFA, a universal method is required to predict the heavy metal immobilization rate...
February 2, 2024: Journal of Hazardous Materials
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