keyword
https://read.qxmd.com/read/38657031/hierarchical-self-assembly-of-multidimensional-functional-materials-from-sequence-defined-peptoids
#1
JOURNAL ARTICLE
Li Shao, Dehong Hu, Shao-Liang Zheng, Thi Kim Hoang Trinh, Wenhao Zhou, Haoyu Wang, Yanxu Zong, Changning Li, Chun-Long Chen
Hierarchical self-assembly represents a powerful strategy for the fabrication of functional materials across various length scales. However, achieving precise formation of functional hierarchical assemblies remains a significant challenge and requires a profound understanding of molecular assembly interactions. In this study, we present a molecular-level understanding of the hierarchical assembly of sequence-defined peptoids into multidimensional functional materials, including twisted nanotube bundles serving as a highly efficient artificial light harvesting system...
April 24, 2024: Angewandte Chemie
https://read.qxmd.com/read/38656849/balanced-unfolding-induced-tensor-nuclear-norms-for-high-order-tensor-completion
#2
JOURNAL ARTICLE
Yuning Qiu, Guoxu Zhou, Andong Wang, Qibin Zhao, Shengli Xie
The recently proposed tensor tubal rank has been witnessed to obtain extraordinary success in real-world tensor data completion. However, existing works usually fix the transform orientation along the third mode and may fail to turn multidimensional low-tubal-rank structure into account. To alleviate these bottlenecks, we introduce two unfolding induced tensor nuclear norms (TNNs) for the tensor completion (TC) problem, which naturally extends tensor tubal rank to high-order data. Specifically, we show how multidimensional low-tubal-rank structure can be captured by utilizing a novel balanced unfolding strategy, upon which two TNNs, namely, overlapped TNN (OTNN) and latent TNN (LTNN), are developed...
April 24, 2024: IEEE Transactions on Neural Networks and Learning Systems
https://read.qxmd.com/read/38655845/neural-graph-distance-embedding-for-molecular-geometry-generation
#3
JOURNAL ARTICLE
Johannes T Margraf
This article introduces neural graph distance embedding (nGDE), a method for generating 3D molecular geometries. Leveraging a graph neural network trained on the OE62 dataset of molecular geometries, nGDE predicts interatomic distances based on molecular graphs. These distances are then used in multidimensional scaling to produce 3D geometries, subsequently refined with standard bioorganic forcefields. The machine learning-based graph distance introduced herein is found to be an improvement over the conventional shortest path distances used in graph drawing...
April 24, 2024: Journal of Computational Chemistry
https://read.qxmd.com/read/38652721/predictive-coding-in-musical-anhedonia-a-study-of-groove
#4
JOURNAL ARTICLE
Peter Benson, Nicholas Kathios, Psyche Loui
Groove, or the pleasurable urge to move to music, offers unique insight into the relationship between emotion and action. The predictive coding of music model posits that groove is linked to predictions of music formed over time, with stimuli of moderate complexity rated as most pleasurable and likely to engender movement. At the same time, listeners vary in the pleasure they derive from music listening: individuals with musical anhedonia report reduced pleasure during music listening despite no impairments in music perception and no general anhedonia...
2024: PloS One
https://read.qxmd.com/read/38652716/second-line-anti-retroviral-treatment-failure-and-its-predictors-among-patients-with-hiv-in-ethiopia-a-systematic-review-and-meta-analysis
#5
JOURNAL ARTICLE
Gizachew Ambaw Kassie, Getahun Dendir Wolda, Beshada Zerfu Woldegeorgis, Amanuel Yosef Gebrekidan, Kirubel Eshetu Haile, Mengistu Meskele, Yordanos Sisay Asgedom
Antiretroviral therapy (ART) treatment failure remains a major public health concern, with multidimensional consequences, including an increased risk of drug resistance, compromised quality of life, and high healthcare costs. However, little is known about the outcomes of second-line ART in Ethiopia. Therefore, this systematic review and meta-analysis aimed to determine the incidence and determinants of second-line ART treatment failure. Articles published in PubMed, Google Scholar, Science Direct, and Scopus databases were systematically searched...
2024: PLOS Glob Public Health
https://read.qxmd.com/read/38651726/benchmark-dose-profiles-for-bivariate-exposures
#6
JOURNAL ARTICLE
Tugba Akkaya Hocagil, Louise M Ryan, Richard J Cook, Khue-Dung Dang, R Colin Carter, Gale A Richardson, Nancy L Day, Claire D Coles, Heather Carmichael Olson, Sandra W Jacobson, Joseph L Jacobson
While benchmark dose (BMD) methodology is well-established for settings with a single exposure, these methods cannot easily handle multidimensional exposures with nonlinear effects. We propose a framework for BMD analysis to characterize the joint effect of a two-dimensional exposure on a continuous outcome using a generalized additive model while adjusting for potential confounders via propensity scores. This leads to a dose-response surface which can be summarized in two dimensions by a contour plot in which combinations of exposures leading to the same expected effect are identified...
April 23, 2024: Risk Analysis: An Official Publication of the Society for Risk Analysis
https://read.qxmd.com/read/38651135/forensic-efficiency-and-population-genetic-construction-of-guizhou-gelao-minority-from-southwest-china-revealed-by-a-panel-of-23-autosomal-str-loci
#7
JOURNAL ARTICLE
Siyu Chai, Shuhua Li, Ruxin Zhu, Li Luo, Kaiqin Chen, Yinlei Lei, Weihong Wan, Xijie Hu, Shiquan Liu, Pengyu Chen
UNLABELLED: Short tandem repeats (STRs) are the most common genetic markers in forensic and human population genetics due to their high polymorphism, rapid detection, and reliable genotyping. To adapt the rapid growth of forensic DNA database and solve problems in disputed cases, a panel of 23 autosomal STR loci with high discriminating ability was constructed recently. The Tai-Kadai-speaking Gelao is the most ancient indigenous minority in Guizhou province, however, the forensic efficiency and population genetic structure remain poorly explored...
June 2024: Forensic Sciences Research
https://read.qxmd.com/read/38650444/accelerated-free-breathing-liver-fat-and-r-2-quantification-using-multi-echo-stack-of-radial-mri-with-motion-resolved-multidimensional-regularized-reconstruction-initial-retrospective-evaluation
#8
JOURNAL ARTICLE
Xiaodong Zhong, Marcel D Nickel, Stephan A R Kannengiesser, Brian M Dale, Fei Han, Chang Gao, Shu-Fu Shih, Qing Dai, Omar Curiel, Tsu-Chin Tsao, Holden H Wu, Vibhas Deshpande
PURPOSE: To improve image quality, mitigate quantification biases and variations for free-breathing liver proton density fat fraction (PDFF) and <mml:math xmlns:mml="https://www.w3.org/1998/Math/MathML"> <mml:semantics> <mml:mrow><mml:msubsup><mml:mi>R</mml:mi> <mml:mn>2</mml:mn> <mml:mo>*</mml:mo></mml:msubsup> </mml:mrow> <mml:annotation>$$ {\mathrm{R}}_2^{\ast } $$</mml:annotation></mml:semantics> </mml:math> quantification accelerated by radial k-space undersampling...
April 22, 2024: Magnetic Resonance in Medicine
https://read.qxmd.com/read/38650438/interoceptive-bodily-awareness-in-patients-seeking-pain-relief-with-osteopathic-manipulative-treatment-an-observational-cohort-pilot-study
#9
JOURNAL ARTICLE
Danielle K Emmet, Glenn Davis, Stacey Pierce-Talsma, Jay H Shubrook, Wolf Mehling
CONTEXT: Interoceptive bodily awareness (IBA) is one's attentional focus on and relationship with comfortable and uncomfortable (e.g., pain) internal body sensations. Integrating IBA into research on osteopathic manipulative treatment (OMT) is growing, both as an outcome and predictor of treatment outcomes; however, it has yet to be studied in a clinical setting. OBJECTIVES: We aimed to conduct a pilot study to measure IBA, with the Multidimensional Assessment of Interoceptive Awareness (MAIA), in patients seeking OMT for pain, and to test if OMT exposure may be associated with higher IBA as measured by the MAIA...
April 24, 2024: Journal of osteopathic medicine
https://read.qxmd.com/read/38649237/prediction-of-high-risk-emergency-department-revisits-from-a-machine-learning-algorithm-a-proof-of-concept-study
#10
JOURNAL ARTICLE
Chih-Wei Sung, Joshua Ho, Cheng-Yi Fan, Ching-Yu Chen, Chi-Hsin Chen, Shao-Yung Lin, Jia-How Chang, Jiun-Wei Chen, Edward Pei-Chuan Huang
BACKGROUND: High-risk emergency department (ED) revisit is considered an important quality indicator that may reflect an increase in complications and medical burden. However, because of its multidimensional and highly complex nature, this factor has not been comprehensively investigated. This study aimed to predict high-risk ED revisit with a machine-learning (ML) approach. METHODS: This 3-year retrospective cohort study assessed adult patients between January 2019 and December 2021 from National Taiwan University Hospital Hsin-Chu Branch with high-risk ED revisit, defined as hospital or intensive care unit admission after ED return within 72 hours...
April 22, 2024: BMJ health & care informatics
https://read.qxmd.com/read/38649049/insights-into-anthropogenic-impact-on-atmospheric-inorganic-aerosols-in-the-largest-city-of-the-tibetan-plateau-through-multidimensional-isotope-analysis
#11
JOURNAL ARTICLE
Xueqin Zheng, Junwen Liu, Bingqian Zhong, Yujing Wang, Zeyan Wu, Nima Chuduo, Bian Ba, Xin Yuan, Meiyi Fan, Fang Cao, Yanlin Zhang, Weihua Chen, Luxi Zhou, Nan Ma, Pengfei Yu, Jun Li, Gan Zhang
Particulate inorganic nitrogen aerosols (PIN) significantly influence air pollution and pose health risks worldwide. Despite extensive observations on ammonium (pNH4 + ) and nitrate (pNO3 - ) aerosols in various regions, their key sources and mechanisms in the Tibetan Plateau remain poorly understood. To bridge this gap, this study conducted a sampling campaign in Lhasa, the Tibetan Plateau's largest city, with a focus on analyzing the multiple isotopic signatures (δ15 N, ∆17 O). These isotopes were integrated into a Bayesian mixing model to quantify the source contributions and oxidation pathways for pNH4 + and pNO3 - ...
April 20, 2024: Science of the Total Environment
https://read.qxmd.com/read/38647101/encoding-a-many-body-potential-energy-surface-into-a-grid-based-matrix-product-operator
#12
JOURNAL ARTICLE
Kentaro Hino, Yuki Kurashige
An efficient algorithm for compressing a given many-body potential energy surface (PES) of molecular systems into a grid-based matrix product operator (MPO) is proposed. The PES is once represented by a full-dimensional or truncated many-body expansion form, which is obtained by ab initio calculations at each grid mesh point, and then all terms in the expansion are compressed and merged into a single MPO while maintaining the bond dimension of the MPO as small as possible. It was shown that the ab initio PES of the H2 CO was compressed by more than 2 orders of magnitude in the size of the site operators without loss of accuracy...
April 22, 2024: Journal of Chemical Theory and Computation
https://read.qxmd.com/read/38646255/sarcopenia-eosinophil-to-platelet-ratio-and-c-reactive-protein-as-predictors-of-adverse-events-in-patients-with-acute-exacerbations-of-chronic-obstructive-pulmonary-disease-a-prospective-observational-study
#13
JOURNAL ARTICLE
Rohankumar Gandhi, Vijay Kalsariya, Roshan Katara, Yogesh Murugan
BACKGROUND: Biomarkers such as sarcopenia, eosinopenia, and C-reactive protein (CRP) may predict adverse events in chronic obstructive pulmonary disease (COPD) exacerbations. We aimed to determine their prognostic utility and accuracy versus conventional measures. METHODS: This was a prospective analysis of COPD patients hospitalized for acute exacerbations for more than one year. Patients with primary diagnoses other than COPD were excluded. A total of 200 participants were screened, and 50 experienced adverse events, including mortality, rehospitalization, prolonged stay, hypoxemia, or hypercapnia...
March 2024: Curēus
https://read.qxmd.com/read/38645340/synthesis-of-two-dimensional-zeolite-nanosheets-applied-to-the-catalytic-cracking-of-a-waste-cooking-oil-model-compound-to-produce-light-olefins
#14
JOURNAL ARTICLE
Wenbo Luo, Haoyu Liu, Hong Yuan, Hao Liu
Hierarchical zeolites can provide multidimensional spatial networks and, therefore, have significant potential as catalysts for the cracking of biomass to generate light olefins. The present work synthesized the diquaternary ammonium-type surfactant [C18 H37 -N+ (CH3 )2 -(CH2 )6 -N+ (CH3 )2 -C6 H13 ]Br2 , incorporating hydrophobic 18-carbon alkyl groups for usage as a structure-directing agent. This compound was subsequently used to prepare nanosheets of a hierarchical ZSM-5 two-dimensional zeolite (HNZSM-5) through a one-pot hydrothermal method...
April 16, 2024: ACS Omega
https://read.qxmd.com/read/38643146/a-scoping-review-examining-patient-experience-and-what-matters-to-people-experiencing-homelessness-when-seeking-healthcare
#15
REVIEW
Jean-Philippe Miller, Jennie Hutton, Claire Doherty, Shannen Vallesi, Jane Currie, Katrina Rushworth, Matthew Larkin, Matthew Scott, James Morrow, Lisa Wood
BACKGROUND: Homelessness is associated with significant health disparities. Conventional health services often fail to address the unique needs and lived experience of homeless individuals and fail to include participatory design when planning health services. This scoping review aimed to examine areas of patient experience that are most frequently reported by people experiencing homelessness when seeking and receiving healthcare, and to identify existing surveys used to measure patient experience for this cohort...
April 20, 2024: BMC Health Services Research
https://read.qxmd.com/read/38640979/development-and-validation-of-a-nomogram-prediction-model-for-adhd-in-children-based-on-individual-family-and-social-factors
#16
JOURNAL ARTICLE
Ting Gao, Lan Yang, Jiayu Zhou, Yuan Zhang, Laishuan Wang, Yan Wang, Tianwei Wang
OBJECTIVES: A reliable, user-friendly, and multidimensional prediction tool can help to identify children at high risk for ADHD and facilitate early recognition and family management of ADHD. We aimed to develop and validate a risk nomogram for ADHD in children aged 3-17 years in the United States based on clinical manifestations and complex environments. METHODS: A total of 141,356 cases were collected for the prediction model. Another 54,444 cases from a new data set were utilized for performing independent external validation...
April 17, 2024: Journal of Affective Disorders
https://read.qxmd.com/read/38639679/consensus-statements-on-the-current-landscape-of-artificial-intelligence-applications-in-endoscopy-addressing-roadblocks-and-advancing-artificial-intelligence-in-gastroenterology
#17
Sravanthi Parasa, Tyler Berzin, Cadman Leggett, Seth Gross, Alessandro Repici, Omer F Ahmad, Austin Chiang, Nayantara Coelho-Prabhu, Jonathan Cohen, Evelien Dekker, Rajesh N Keswani, Charles E Kahn, Cesare Hassan, Nicholas Petrick, Peter Mountney, Jonathan Ng, Michael Riegler, Yuichi Mori, Yutaka Saito, Shyam Thakkar, Irving Waxman, Michael Bradley Wallace, Prateek Sharma
BACKGROUND AND AIMS: The American Society for Gastrointestinal Endoscopy (ASGE) AI Task Force along with experts in endoscopy, technology space, regulatory authorities, and other medical subspecialties initiated a consensus process that analyzed the current literature, highlighted potential areas, and outlined the necessary research in artificial intelligence (AI) to allow a clearer understanding of AI as it pertains to endoscopy currently. METHODS: A modified Delphi process was used to develop these consensus statements...
April 16, 2024: Gastrointestinal Endoscopy
https://read.qxmd.com/read/38639017/a-roadmap-for-therapeutic-discovery-in-pulmonary-hypertension-associated-with-left-heart-failure-a-scientific-statement-of-the-heart-failure-association-hfa-of-the-esc-and-the-esc-working-group-on-pulmonary-circulation-right-ventricular-function
#18
JOURNAL ARTICLE
Pietro Ameri, Valentina Mercurio, Piero Pollesello, Markus S Anker, Johannes Backs, Antoni Bayes-Genis, Barry A Borlaug, Daniel Burkhoff, Sergio Caravita, Stephen Y Chan, Frances de Man, George Giannakoulas, Aránzazu González, Marco Guazzi, Paul M Hassoun, Anna R Hemnes, Cristoph Maack, Brendan Madden, Vojtech Melenovsky, Oliver J Müller, Zoltan Papp, Soni Savai Pullamsetti, Peter P Rainer, Margaret M Redfield, Stuart Rich, Gabriele G Schiattarella, Hall Skaara, Kostantinos Stellos, Ryan J Tedford, Thomas Thum, Jean Luc Vachiery, Peter van der Meer, Sophie Van Linthout, Piotr Pruszczyk, Petar Seferovic, Andrew J S Coats, Marco Metra, Giuseppe Rosano, Stephan Rosenkranz, Carlo Gabriele Tocchetti
Pulmonary hypertension (PH) associated with left heart failure (LHF) (PH-LHF) is one of the most common causes of PH. It directly contributes to symptoms and reduced functional capacity and negatively affects right heart function, ultimately leading to a poor prognosis. There are no specific treatments for PH-LHF, despite the high number of drugs tested so far. This scientific document addresses the main knowledge gaps in PH-LHF with emphasis on pathophysiology and clinical trials. Key identified issues include better understanding of the role of pulmonary venous versus arteriolar remodelling, multidimensional phenotyping to recognize patient subgroups positioned to respond to different therapies, and conduct of rigorous pre-clinical studies combining small and large animal models...
April 19, 2024: European Journal of Heart Failure
https://read.qxmd.com/read/38636876/early-exposure-to-sunlight-and-allergic-morbidity-the-paris-birth-cohort
#19
JOURNAL ARTICLE
Léa Lefebvre, Hélène Amazouz, Fanny Rancière, Isabelle Momas
The relationship between sunlight and allergies in children has received limited attention from researchers. We sought to explore how early exposure to solar radiation is associated with allergic morbidity within the PARIS birth cohort study. Our research dealt with children who attended at least one of two health checkups: at 18 months (n = 2012) and at 8-9 years (n = 1080). Early exposure to solar radiation was assessed using meteorological data (e.g., solar radiation, temperature, and relative humidity)...
April 16, 2024: Science of the Total Environment
https://read.qxmd.com/read/38635026/macronutrient-composition-of-plant-based-diets-and-breast-cancer-risk-the-e3n-prospective-cohort-study
#20
JOURNAL ARTICLE
Nicholas A Koemel, Sanam Shah, Alistair M Senior, Gianluca Severi, Francesca R Mancini, Timothy P Gill, Stephen J Simpson, David Raubenheimer, Marie-Christine Boutron-Ruault, Nasser Laouali, Michael R Skilton
PURPOSE: Recent evidence suggests that plant-based diets may reduce the risk of breast cancer (BC). However, the macronutrient composition of plant-based diets and its potential impact on BC risk has not been well explored. This analysis investigated the association of macronutrient composition with BC risk across a spectrum of plant-based diet indexes using a multidimensional approach. DESIGN: This study followed 64,655 participants from the Etude Epidémiologique auprès de femmes de la Mutuelle Générale de l'Education Nationale (E3N) cohort from 1993 to 2014...
April 18, 2024: European Journal of Nutrition
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