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Tract Integrity Predicts Neurological Outcomes in Neonatal Hypoxic-Ischemic Encephalopathy

Pediatrics & Neonatology 2025年

作者： Pei-Ling Tsai Yu-Chun Lo Yi-Shan Tsai Yea-Shwu Hwang Ting-Chun Lin Yao-Wen Liang Chen-En Huang Fu-Chun Hsu Yi-Fang Tu You-Yin Chen Institute of Allied Health Sciences College of Medicine National Cheng Kung University Tainan Taiwan PhD Program in Medical Neuroscience College of Medical Science and Technology Taipei Medical University Taipei Taiwan Department of Medical Imaging National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Department of Occupational Therapy College of Medicine National Cheng Kung University Tainan Taiwan Department of Biomedical Engineering National Yang Ming Chiao Tung University Taipei Taiwan College of Medicine National Yang Ming Chiao Tung University Taipei Taiwan Department of Pediatrics National Cheng Kung University Hospital College of Medicine National Cheng Kung University Tainan Taiwan Institute of Clinical Medicine College of Medicine National Cheng Kung University Tainan Taiwan Medical Device Innovation and Translation Center National Yang Ming Chiao Tung University Taipei Taiwan

Objective Early prognostication in infants with neonatal hypoxic-ischemic encephalopathy (HIE) is crucial for follow-up management. Alternations of microstructural integrity of neural fiber tracts in large-scale neural networks might predict neurological outcomes. Methods All consecutively-admitted patients with neonatal HIE from 2016 to 2020 were enrolled. Diffusion tensor imaging (DTI) tractography was performed at 4–7 days of age. Neurodevelopmental outcomes at 24 months of age were assessed with Bayley Scales of Infant Development, 3rd edition. Results A total of 62 HIE infants were enrolled, and 53 of these underwent DTI. Fractional anisotropy (FA) and mean diffusivity (MD) were measured to indicate the microstructural integrity of tracts, including the arcuate fasciculus, uncinate fasciculus, inferior fronto-occipital fasciculus, corticospinal tract (CST), and optic radiations (OR). Lower FA values of target tracts were associated with lower developmental scores at 24 months of age, particularly in the CST and OR (all P ≤ 0.003). The prognostic accuracy of FA values in CST surpassed that in the region of thalamus/basal ganglia (area under curves 0.839, 95% CI: 0.728–0.950 vs. 0.755, 95% CI: 0.583–0.928). Furthermore, the correlation between FA values in target tracts and developmental scores was most significant in infants with HIE stage III and this was not affected by therapeutic hypothermia. Conclusion Tract integrity in the CST and OR detected by DTI provides valuable insights for early prognostication in infants with HIE, regardless of therapeutic hypothermia.

关键词： neonatal hypoxic-ischemic encephalopathy diffusion tensor imaging tractography corticospinal tract optic radiations neurodevelopmental outcome

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Impact of artificial light at night (ALAN) on cardiac function and acute oxidative stress physiology in migratory brown trout smolts

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Environmental pollution (Barking, Essex : 1987) 2025年 381卷 126593页

作者： Sophia Schumann Velizara Stoilova Enrico Bortoletto Elisabetta Piva Sara Pacchini Gloria Mozzi Andreas Jechow Andrea Marion Daniela Bertotto Ann Erlandson Franz Hölker Larry Greenberg Gianfranco Santovito University of Padova Department of Biology 35131 Padua Italy. Electronic address: sophia.schumann@unipd.it. Karlstad University Department of Environmental and Life Sciences 65188 Karlstad Sweden Norconsult AB Environmental Adaptation of Hydropower Group Sweden. Electronic address: velizara.stoilova@kau.se. University of Padova Department of Biology 35131 Padua Italy. Electronic address: enrico.bortoletto@unipd.it. University of Padova Department of Biology 35131 Padua Italy. Electronic address: elisabtta.piva.2@phd.unipd.it. University of Padova Department of Biology 35131 Padua Italy. Electronic address: sara.pacchini@phd.unipd.it. CMCC Foundation - Euro-Mediterranean Center on Climate Change 30175 Venice Italy Ca' Foscari University of Venice 30123 Venice Italy. Electronic address: gloria.mozzi@cmcc.it. Brandenburg University of Applied Science Department of Engineering 14770 Brandenburg Germany. Electronic address: andreas.jechow@th-brandenburg.de. Department of Industrial Engineering University of Padova 35131 Padua Italy. Electronic address: andrea.marion@unipd.it. University of Padova Department of Comparative Biomedicine and Food Science Legnaro 35020 Italy. Electronic address: daniela.bertotto@unipd.it. Karlstad University Department of Environmental and Life Sciences 65188 Karlstad Sweden. Electronic address: ann.erlandsson@kau.se. Leibniz-Institute of Freshwater Ecology and Inland Fisheries 12587 Berlin Germany. Electronic address: hoelker@igb-berlin.de. Karlstad University Department of Environmental and Life Sciences 65188 Karlstad Sweden. Electronic address: larry.greenberg@kau.se. University of Padova Department of Biology 35131 Padua Italy. Electronic address: gianfranco.santovito@unipd.it.

Light pollution poses significant ecological challenges for nocturnal animals reliant on natural light for migration, orientation, and circadian rhythms. The physiological effects of abrupt exposure to artificial light at night (ALAN) on migratory fish, such as the light experienced passing near illuminated infrastructures, remain poorly understood. This study investigates the physiological responses of brown trout (Salmo trutta) smolts to low-intensity (0.02 lx) and short-term (30 s) ALAN, simulating nocturnal migration light conditions near illuminated bridges. To evaluate the influence of social dynamics, trout were tested individually (solitary) or in groups of six. Using continuous cardiac monitoring with data storage tags, alongside analyses of oxidative stress markers and adenylate kinase (AK) activity in the heart, we identified distinct patterns of physiological responses. Solitary fish exhibited significant heart rate variability (HRV) increases following repeated ALAN exposure, suggesting impaired physiological regulation under repeated ALAN exposure. In contrast, trout in groups displayed consistently lower HRV over the entire 90-min experiment, implying that social dynamics likely influenced a sustained oxidative stress response, corroborated by increased AK activity. Oxidative stress markers further reflected social effects, with significant upregulation of key antioxidant enzymes (sod1, sod2, gpx1, gpx4) and elevated lipid peroxidation, identifying lipids as primary oxidative targets. The observed divergence between superoxide dismutase (SOD) activity and sod gene expression suggests adaptive post-transcriptional regulation to maintain redox balance under combined environmental and social stress. These findings reveal that social dynamics under ALAN can amplify physiological stress, potentially affecting migratory outcomes.

关键词： Fish migration Light stress Oxidative stress Social buffering Stress physiology

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Isospin breaking in the 71Kr and 71Br mirror system

arXiv

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arXiv 2024年

作者： Algora, A. Vitéz-Sveiczer, A. Poves, A. Kiss, G.G. Rubio, B. de Angelis, G. Recchia, F. Nishimura, S. Rodriguez, T. Sarriguren, P. Agramunt, J. Guadilla, V. Montaner-Pizá, A. Morales, A.I. Orrigo, S.E.A. Napoli, D. Lenzi, S.M. Boso, A. Phong, V.H. Wu, J. Söderström, P.-A. Sumikama, T. Suzuki, H. Takeda, H. Ahn, D.S. Baba, H. Doornenbal, P. Fukuda, N. Inabe, N. Isobe, T. Kubo, T. Kubono, S. Sakurai, H. Shimizu, Y. Chen, S. Blank, B. Ascher, P. Gerbaux, M. Goigoux, T. Giovinazzo, J. Grévy, S. Kurtukián Nieto, T. Magron, C. Gelletly, W. Dombrádi, Zs. Fujita, Y. Tanaka, M. Aguilera, P. Molina, F. Eberth, J. Diel, F. Lubos, D. Borcea, C. Ganioglu, E. Nishimura, D. Oikawa, H. Takei, Y. Yagi, S. Korten, W. de France, G. Davies, P. Liu, J. Lee, J. Lokotko, T. Kojouharov, I. Kurz, N. Schaffner, H. Kruppa, A. Instituto de Fisica Corpuscular CSIC-Universitat de Valéncia ValénciaE-46071 Spain DebrecenH-4001 Hungary University of Debrecen PhD school of Physics DebrecenH-4026 Hungary Departamento de Fśica Teórica IFT-UAM CSIC Universidad Autónoma de Madrid Madrid28049 Spain RIKEN Nishina Center Saitama Wako351-0198 Japan Istituto Nazionale di Fisica Nucleare Laboratori Nazionali di Legnaro LegnaroI-35020 Italy Istituto Nazionale di Fisica Nucleare Sezione di Padova PadovaI-35131 Italy Dipartimento di Fisica Universitá degli Studi di Padova PadovaI-35131 Italy Universidad Complutense de Madrid Madrid28040 Spain Instituto de Estructura de la Materia CSIC Madrid28006 Spain Faculty of Physics University of Warsaw Warsaw02-093 Poland Faculty of Physics VNU Hanoi University of Science 334 Nguyen Trai Thanh Xuan Hanoi Viet Nam Centre d Etudes Nucléaires de Bordeaux-Gradignan UMR 5797 Université de Bordeaux CNRS IN2P3 19 Chemin du Solarium CS10120 GradignanCedex 33175 France Department of Physics University of Surrey GuildfordGU2 7XH United Kingdom Research Center for Nuclear Physics Osaka University Osaka Ibaraki567-0047 Japan Department of Physics Osaka University Osaka Toyonaka560-0043 Japan Comisión Chilena de Energía Nuclear Casilla 188-D Amunátegui 95 Santiago Centro Santiago Chile Institute of Nuclear Physics University of Cologne CologneD-50937 Germany Physik Department E12 Technische Universität München GarchingD-85748 Germany National Institute for Physics and Nuclear Engineering IFIN-HH P.O. Box MG-6 Bucharest-Magurele Romania Department of Physics Istanbul University Istanbul34134 Turkey Department of Natural Sciences Tokyo City University of Science Setagaya-ki Tokyo158-8557 Japan Department of Physics Tokyo University of Science Chiba Noda278-8510 Japan CEA Saclay IRFU SPhN Gif-sur-Yvette91191 France Grand Accélérateur National d Ions Lourds B.P. 55027 CaenCedex 05 F-14076 France Department of Physics Uni

Isospin symmetry is a fundamental concept in nuclear physics. Even though isospin symmetry is partially broken, it holds approximately for most nuclear systems, which makes exceptions very interesting from the nuclear structure perspective. In this framework, it is expected that the spins and parities of the ground states of mirror nuclei should be the same, in particular for the simplest systems where a proton is exchanged with a neutron or vice versa. In this work, we present evidence that this assumption is broken in the mirror pair 71Br and 71Kr system. Our conclusions are based on a high-statistics β decay study of 71Kr and on state-of-the-art shell model calculations. In our work, we also found evidence of a new state in 70Se, populated in the β-delayed proton emission process which can be interpreted as the long sought coexisting 0+ state. Copyright © 2024, The Authors. All rights reserved.

关键词： Isotherms

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HLA-matched allogeneic anti-CD19 CAR-T therapy in treating a relapsed/refractory acute lymphoblastic leukemia patient with high tumor burden

ImmunoMedicine

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ImmunoMedicine 2022年第1期2卷

作者： Yue Huang MD Qin Yu phd Elaine Tan Su Yin MD Guoqing Wei phd Wenjun Wu phd Alex H. Chang phd He Huang phd Yongxian Hu phd Bone Marrow Transplantation Center the First Affiliated Hospital Zhejiang University School of Medicine Hangzhou China Institute of Hematology Zhejiang University Hangzhou China Zhejiang Province Engineering Laboratory for Stem Cell and Immunity Therapy Hangzhou China Zhejiang Laboratory for Systems & Precision Medicine Zhejiang University Medical Center Hangzhou China College of Life Science Zhejiang Chinese Medical University Hangzhou China Cellular Therapy Department Shanghai YaKe Biotechnology Ltd Shanghai China He Huang MD/PhD and Yongxian Hua Bone Marrow Transplantation Center The First Affiliated Hospital School of Medicine Zhejiang University No.79 Qingchun Road Hangzhou China.

The genetically engineered chimeric antigen receptor T cell (CAR-T) therapy has shown remarkable clinical efficacy in the treatment of hematological malignancies. Nonetheless, it is difficult to harvest adequate autologous T cells to manufacture potent CAR-T cell products in patients with high tumor burden and prior tumor-reductive treatment. Here we reported a relapsed/refractory acute lymphoblastic leukemia patient with high leukemia burden and central nervous system (CNS) involvement. The patient responded to donor-derived HLA-matched allogeneic CAR-T treatment, with the achievement of quick complete remission. And for the first time, we revealed the development of a cerebral CRS in situ after allogeneic CAR-T therapy.

关键词： acute lymphoblastic leukemia allogeneic chimeric antigen receptor T cells central nervous system leukemia cytokine release syndrome HLA-matched

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Lake Nubia sediment capacity estimation based on satellite remotely sensed detected bathymetry

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Procedia Manufacturing 2018年 22卷 567-574页

作者： Mohamed Elsahabi Omar Makboul Abdelazim Negm PhD student Civil Engineering Dept. Aswan University Aswan 81542 Egypt M.Sc. Student Arab Academy for Science Technology and Maritime Transport Alexandria-21913 Egypt Professor Department Water and Water Engineering Dept. Faculty of Engineering Zagazig University Zagazig 44519 Egypt

This research is concerned with detecting the depths of the Aswan High Dam Lake (AHDL) (particularly Nubia Lake) using Landsat-8 multi-spectral bands with resolution 30m. The method of depths estimating from the satellite images is based on establishing Multiple Linear Regression (MLR) model using logarithms of reflectance bands. Quantifying the error between in-situ measurements and satellite estimated lake depths values. The results indicated that the correlation coefficient (R= 0.5) and the Root Mean Square Error (RMSE= 0.6m) for testing data set. The computed depths from the satellite remote sensing data were used to estimate the sediment and erosion capacities in Lake Nubia (LN) since the beginning of the storage process in the lake at the year 1964 till the year 2012. The results are comparable to those of the traditional method (cross section method) and the method of building 3D profile from the field measurements with additional merits of the present approach that it is more flexible and cost-effective tool for bathymetry mapping. Moreover, the results indicated that the computed amount of sediment using the estimated depths from the RS data (the present approach) overestimated the results by 4.16% compared to those computed using the cross-section method adopted by AHDA. On the other hand, the results indicate that the present approach overestimates sediment amount by about 3.93% compared to the results derived from the generated 3D profiles of the Lake based on the field measurements.

关键词： Remote Sensing Lake Nubia Multiple Linear Regression Satellite derived bathymetry Sediment Erosion

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Two-Dimensional Barcodes Usage in Plastic Pipes Blockchain-Based Supply-Chain

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Journal of Physics: Conference Series 2020年第1期1680卷

作者： S Kudryashov Y Madhwal I Maslov A Trepalin Y Yanovich Project Manager Bitfury Russia Bitfury 123112 Moscow Russia PhD student Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology (Skoltech) 121205 MoscowRussia CTO Bitfury Russia Bitfury 123112 Moscow Russia Developer Bitfury Russia Bitfury 123112 Moscow Russia Researcher Center for Computational and Data-Intensive Science and Engineering Skolkovo Institute of Science and Technology (Skoltech) 121205 Moscow Russia Researcher Laboratory of Data Mining and Predictive Modeling Institute for Information Transmission Problems (IITP RAS) 127051 Moscow Russia

The use of counterfeit products causes considerable financial damage to the states and companies. Product labeling and tracking in a blockchain-enabled system can overcome this problem. One- and two-dimensional barcodes are accessible and have cheap labeling technologies, but it can be challenging to read the labels on products with curved shapes. This paper presents the plastic pipe labeling problem and its solution with two-dimensional barcodes, integrated with a blockchain-enabled supply chain. The labeling technique choice is based on QR and Aztec barcodes readability empirical study for different barcode parameters, reading software libraries for flat and curved surfaces.

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Speech Emotion Recognition using Convolutional Neural Network with Audio Word-based Embedding

Speech Emotion Recognition using Convolutional Neural Networ...

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International Symposium on Chinese Spoken Language Processing

作者： Kun-Yi Huang Chung-Hsien Wu Qian-Bei Hong Ming-Hsiang Su Yuan-Rong Zeng Department of Computer Science and Information Engineering National Cheng Kung University Taiwan PhD Program for Multimedia Systems and Intelligent Computing National Cheng Kung University and Academia Sinica Taiwan

ISBN: (纸本)9781538656280;9781538656273

A complete emotional expression typically contains a complex temporal course in a natural conversation. Related research on utterance-level, segment-level and multi-level processing lacks understanding of the underlying relation of emotional speech. In this work, a convolutional neural network (CNN) with audio word-based embedding is proposed for emotion modeling. In this study, vector quantization is first applied to convert the low level features of each speech frame into audio words using k-means algorithm. Word2vec is adopted to convert an input speech utterance into the corresponding audio word vector sequence. Finally, the audio word vector sequences of the training emotional speech data with emotion annotation are used to construct the CNN- based emotion model. The NCKU-ES database, containing seven emotion categories: happiness, boredom, anger, anxiety, sadness, surprise and disgust, was collected and five-fold cross validation was used to evaluate the performance of the proposed CNN-based method for speech emotion recognition. Experimental results show that the proposed method achieved an emotion recognition accuracy of 82.34%, improving by 8.7% compared to the Long Short Term Memory (LSTM)- based method, which faced the challenging issue of long input sequence. Comparing with raw features, the audio word-based embedding achieved an improvement of 3.4% for speech emotion recognition.

关键词： Emotion recognition Feature extraction Speech recognition Acoustics Training Databases Neural networks

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A Scalable Deep Attention Mechanism of Instance Segmentation for the Investigation of Chromosome

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SLAS technology 2025年 33卷 100306页

作者： Neelam Umbreen Sara Ali Hasan Sajid Yasar Ayaz Shrooq Alsenan Yunyoung Nam So Yeon Kim Muhammad Baber Sial National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: neelamumbreen.phd@smme.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan Suzhou Industrial Park (SIP) Monash Research Institute of Science and Technology Monash University 8Q9C+R6W Suzhou Jiangsu China. School of Mechanical and Manufacturing Engineering (SMME) National University of Sciences and Technology (NUST) Islamabad NUST-COVENTRY Human-Robot Interaction (NC-HRI) Laboratory Pakistan Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: sarababer@smme.nust.edu.pk. National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: hasan.sajid@smme.nust.edu.pk. Intelligent Field Robotics Laboratory (IFRL) National Center for Artificial Intelligence (NCAI) National University of Sciences and Technology (NUST) Islamabad Pakistan. Electronic address: yasar@smme.nust.edu.pk. Information Systems Department College of Computer and Information Sciences Princess Nourah bint Abdulrahman University P.O. Box 84428 Riyadh 11671 Saudi Arabia. Electronic address: shalsenan@pnu.edu.sa. Emotional and Intelligent Child Care Convergence Research Center Soonchunhyang University Asan 31538 Korea. Electronic address: ynam@sch.ac.kr. Department of Artificial Intelligence Department of Software and Computer Engineering Ajou University. Electronic address: jebi1771@ajou.ac.kr. School of Automation Science and Electrical Engineering Beihang University Beijing 100191 China. Electronic address: babersial@***.

Chromosome segmentation in metaphase images is a critical yet challenging task in cytogenetics and genomics due to the inherent complexity, variability in chromosome shapes, and the scarcity of high-quality annotated datasets. This study proposes a robust instance segmentation framework that integrates an automated annotation pipeline with an enhanced deep learning architecture to address these challenges. A novel dataset is introduced, comprising metaphase images and corresponding karyograms, annotated with precise instance segmentation information across 24 chromosome classes in COCO format. To overcome the labor-intensive manual annotation process, a feature-based image registration technique leveraging SIFT and homography is employed, enabling the accurate mapping of chromosomes from karyograms to metaphase images and significantly improving annotation quality and segmentation performance. The proposed framework includes a custom Mask R-CNN model enhanced with an Attention-based Feature Pyramid Network (AttFPN), spatial attention mechanisms, and a LastLevelMaxPool block for superior multi-scale feature extraction and focused attention on critical regions of the image. Experimental evaluations demonstrate the model's efficacy, achieving a mean average precision (mAP) of 0.579 at IoU = 0.50:0.95, surpassing the baseline Mask R-CNN and Mask R-CNN with AttFPN by 3.94% and 5.97% improvements in mAP and AP50, respectively. Notably, the proposed architecture excels in segmenting small and medium-sized chromosomes, addressing key limitations of existing methods. This research not only introduces a state-of-the-art segmentation framework but also provides a benchmark dataset, setting a new standard for chromosome instance segmentation in biomedical imaging. The integration of automated dataset creation with advanced model design offers a scalable and transferable solution, paving the way for tackling similar challenges in other domains of biomedical and cytogenetic imagi

关键词： Chromosome segmentation Instance segmentation, cytogenetics Mask R-CNN attention mechanism biomedical imaging multi-scale feature fusion

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Implementation of support tools for the presumptive diagnosis of glaucoma through identification and processing of medical images of the human eye 4

Implementation of support tools for the presumptive diagnosi...

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4th IEEE International Symposium on Systems engineering, ISSE 2018

作者： Pinos-Velez, Eduardo Flores-Rivera, Maria Ipanque-Alama, William Herrera-Alvarez, Deysi Chacon, CarlosLuis Serpa-Andrade, Luis GIIATA Research Group on Artificial Intelligence and Assistive Technologies and GIIB Research Group on Biomedical Engineering Universidad Politecnica Salesiana DICOP Universidad de Piura Cuenca Ecuador GIIATA Research Group on Artificial Intelligence and Assistive Technologies Universidad Politecnica Salesiana Cuenca Ecuador PhD of Engineering Computer Science and Control DICOP Universidad de Piura Piura Peru Ophthalmologist Glaucoma and Cataract Specialist Board Member of the Ecuadorian Society of Glaucoma Clinical Santa Lucia Quito Ecuador

ISBN: (纸本)9781538644461

In medicine, the diagnosis of diseases by means of image processing has had great acceptability and credibility, which is why it has been able to explore in depth the theme, taking advantage of mainly which is a non-invasive method within the clinical study. Glaucoma is considered as a group of diseases that damages the optic nerve to the point of causing blindness in the eye, with the disadvantage of in most cases do not exhibit early symptoms. Through this work, the processing biomedical images to locate the parameters considered most relevant within images obtained from the back of the eye to make the determination of the existence or not of Glaucoma, a disease that mainly affects physically the dimensions and proportions of the cup and the optical disc. It gets the value of the reason cup/disc and is additional to the characteristics of the rule ISNT, both parameters considered of great importance in the diagnosis of glaucoma. The results obtained serve as a tool to support the specialist in ophthalmology and optometry in conjunction with a presumptive diagnosis of glaucoma, this way it looks for the early detection and prevention of this disease. © 2018 IEEE.

关键词： Diagnosis

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The use of mobile applicatiosn to improve nutrition behaviour: A systematic review

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Computer Methods and Programs in Biomedicine 2020年 192卷

作者： Paramastri, Rathi Pratama, Satwika Arya Ho, Dang Khanh Ngan Purnamasari, Sintha Dewi Mohammed, Afrah Zaki Galvin, Cooper J Hsu, Yi-Hsin Elsa Tanweer, Afifa Humayun, Ayesha Househ, Mowafa Iqbal, Usman School of Nutrition and Health Sciences College of Nutrition Taipei Medical University Taipei Taiwan Taipei Medical University Taipei Taiwan School of Health Care Administration College of Management Taipei Medical University Taipei Taiwan Executive Master Program of Business Administration in Biotechnology College of Management Taipei Medical University Taipei Taiwan School of Health Sciences University of Management and Technology Lahore Pakistan Department of Public Health and Community Medicine Shaikh Zayed Medical Complex Lahore Pakistan SKZMDC Shaikh Khalifa Bin Zayed Al-Nahyan Medical College Shaikh Zayed Postgraduate Medical Institute Shaikh Zayed Medical Complex Lahore Pakistan Hamad Bin Khalifa University College of Science and Engineering Qatar Foundation Qatar School of Health Information Science University of Victoria VictoriaBC Canada Master's Program in Global Health & Development Dept. PhD Program in Global Health & Health Security Dept. College of Public Health Taipei Medical University Taipei Taiwan

Background and Objective: Mobile applications could be effectively used for dietary intake assessment, physical activity monitoring, behavior improvement, and nutrition education. The aim of this review is to determine the effectiveness of mobile applications in improving nutrition behaviors through a systematic review of literature. Methods: The review protocol was registered with PROSPERO: registration number CRD42018118809, and followed PRISMA guidelines. We involved original articles including mobile electronic devices for improving dietary intake, physical activity, and weight management in adult populations in this review. Data were retrieved from January 2010 to December 2018 with PubMed, Web of science, Excerpta Medica Database (Embase), and Cumulative Index to Nursing and Allied Health Literature (CINAHL) as data sources. Authors individually screened the titles and abstracts, then full articles in order to obtain papers that met inclusion criteria. Results: The database search yielded 2962 records. After removing the duplicates and analyzing the full text papers a total of 8 original articles were reviewed. Two articles showed obvious bias and were not included in our results or discussion. The remaining six articles with low to moderate bias risk were included in this systematic review. Three selected studies were randomized control trials (RCTs) with over 180 participants each. The other three studies were a nested trial, a case-control trial, and a pilot RCT with 36, 162, and 24 participants respectively. All larger RCTs and the small case control trail showed significant improvements in some nutritional-health objectives measured. The other two trials showed insignificant improvements in outcomes measured between groups. Conclusion: This study highlights the potential significant health benefits acquirable through mobile health application-assisted nutrition interventions. Some of these studies required significant financial and time input from provide

关键词： Nutrition

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