检索结果-内蒙古大学图书馆

Detection of gas concentrations based on age on Staphylococcus aureus biofilms with gas array sensors

AIP Conference Proceedings 2020年第1期2314卷

作者： A. A. S. Pradhana S. D. Astuti M. Khasanah R. K. D. Ardianti 1)Biomedical Engineering Master Program Post Graduate School Universitas Airlangga Surabaya 60115 Indonesia 2)Department of Physics Faculty Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 3)Department of Physics Faculty Science and Technology Universitas Airlangga Surabaya 60115 Indonesia 4)Biomedical Engineering Bachelor Program Post Graduate School Universitas Airlangga Surabaya 60115 Indonesia

Bacteria that have developed in the biofilm phase will be more resistant to antibiotics and emit gases that have certain characteristics. One dose of culture from Trypticase Soy Broth (TSB) (Merck, Germany) was inoculated into 10 mL of Trypticase Soy Broth (TSB) (Merck, Germany) and homogenized for a concentration of 0.5 McFarland (10-13 CFU / mL). The suspension was detected by ELISA reader (λ 595nm)Based on the results that have been obtained, the sensor on the gas array instrument can detect both a variety of distinctive gas patterns in S. Variations in shelf life and variations in the types of samples provided can be tracked both by the entire sensor. This is indicated by the emergence of a unique and different sensor voltage output pattern in each variation. The processing of sensor output using the PCA (Principal Component Analysis) method can accommodate 86.45% of the data variation, including the first component and the second component respectively 70.4% and 18.1%. Through the PCA method, each variation of bacterial treatment can be classified properly, so it can be used to clearly distinguish the age of bacteria and biofilm age. When loading the PCA plot, the MQ2 sensor shows the most responsive results to gas changes. Meanwhile, the MQ136 sensor ranks second as the most responsive sensor to measure the life span of bacteria and biofilms.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Pulmonary Disease Pattern Recognition on X-Ray Radiography Image Using Artificial Neural Network (ANN) Method

引用

Journal of Physics: Conference Series 2020年第1期1505卷

作者： N Fitriyah L D Kurniawati E Purwanti S D Astuti Department of Physics Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115 Biomedical Engineering Study Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115 Department of Biomedical Engineering Post-Graduate Program Faculty of Science and Technology Universitas Airlangga Surabaya Indonesia 60115

This research aims to recognize the pattern of pulmonary disease on x-ray radiography image using artificial neural network (ANN) method. The images, which were used such as images of healthy pulmonary, pulmonary tuberculosis, and pulmonary tumour. Pattern recognition was using an extraction feature of GLCM (Gray Level Co-occurrence Matrix) and back propagation method. Before being identified, the images were processed by median filter and adaptive histogram equalization. The GLCM features that used were homogeneity, energy, contrast, variance and correlation. The parameters were learning rate and hidden layer. Learning rate was 0.3 and hidden layer was 25. Back propagation training showed 100% accuracy, which all of 44 images were used had been successfully identified. From the result, the healthy pulmonary showed 60% accuracy, 83.3% for pulmonary tuberculosis and 100% for pulmonary tumor. Hence, the overall result showed 81.25% accuracy, which 13 of 16 images had been successfully identified. From these result, extraction feature of GLCM using back propagation method was capable to recognize the pattern of pulmonary disease. However, due to narrow range of the feature, this application may not be used optimally for comparing features in every category of images. Therefore, the further research is needed to determine the best features and parameters of training back propagation.

关键词：

来源：评论

学校读者我要写书评

暂无评论

The definition of sng: The expert consensus by the sng taxonomy Task force of the Taiwan sng Society

引用

Journal of the Formosan Medical Association 2025年

作者： Han, Der-Sheng Lin, Jiann-Her Hung, Chih-Hsien Huang, Shuping Chen, Jen-Yin Chiang, Yung-Hsiao Chiu, Hsiao-Yean Chou, Li-Wei Hsieh, Cheng-Ta Huang, Ming-Chyi Huang, Wei-Lieh Kang, Jiunn-Horng Lee, Hsun-Hua Lin, Chia-Shu Lin, Chien-Min Lin, Chih-Peng Lin, Ying-Tung Liu, Yen-Chin Ro, Long-Sun Shen, Chiung-Chyi Su, Lily I-Wen Su, Yu-Jih Sun, Jui-Ming Sung, Jia-Ying Tsai, Rong-Kung Wang, Man-Ling Wen, Yeong-Ray Weng, Hao-Jui Wu, Ming-Shun Yu, Yu-Wen Hsieh, Sung-Tsang Wang, Shuu-Jiun Sun, Wei-Zen Chen, Chih-Cheng Department of Physical Medicine and Rehabilitation National Taiwan University Hospital Beihu Branch Taipei Taiwan Department of Physical Medicine and Rehabilitation National Taiwan University College of Medicine Taipei Taiwan Division of Neurosurgery Department of Surgery Taipei Medical University Hospital Taipei Taiwan Department of Surgery School of Medicine College of Medicine Taipei Medical University Taipei Taiwan Taipei Neuroscience Institute Taipei Medical University Taipei Taiwan TMU Research Center of Neuroscience Taipei Medical University Taipei Taiwan Department of Neurology Kaohsiung Medical University Hospital Kaohsiung Taiwan School of Medicine College of Medicine Kaohsiung Medical University Kaohsiung Taiwan Department of Foreign Languages and Literature National Sun Yat-sen University Kaohsiung Taiwan Department of Anesthesiology Chi Mei Medical Center Tainan Taiwan School of Medicine College of Medicine National Sun Yat-sen University Kaohsiung Taiwan School of Nursing College of Nursing Taipei Medical University Taipei Taiwan Department of Nursing Taipei Medical University Hospital Taipei Taiwan Department of Physical Medicine and Rehabilitation China Medical University Hospital Taichung Taiwan Department of Physical Medicine and Rehabilitation Asia University Hospital Asia University Taichung Taiwan Department of Physical Therapy and Graduate Institute of Rehabilitation Science China Medical University Taichung Taiwan Division of Neurosurgery Department of Surgery Cathay General Hospital Taipei Taiwan School of Medicine National Tsing-Hua University Hsinchu Taiwan Department of Medicine School of Medicine Fu Jen Catholic University New Taipei City Taiwan Department of Psychiatry Taipei City Psychiatric Center Taipei City Hospital Taipei Taiwan Department of Psychiatry National Taiwan University Hospital Yunlin Branch Yunlin Taiwan Department of Physical Medicine and Rehabilitation Taipei Medical University Hospital Taip

“Sng” is a Taiwanese term describing a distinct state of soreness. Accumulating evidence indicates that sng is a specific somatosensory modality, independent of pain, with distinct receptors and transduction pathways. In recent years, variations in its presentation across different medical specialties have highlighted the need for a standardized definition of sng-related terminology. To address this, the Taiwan Sng Society established a multidisciplinary Sng Taxonomy Task Force, comprising 32 experts in both clinical and basic sciences related to sng. Here we summarize the discussions and expert consensus from the Task Force. A total of 16 sng-related terminology was defined. The first edition of sng terminology aims to establish a clear, standardized framework for the clinical practice and research of sng. © 2025 Formosan Medical Association

关键词： Definition sng Sngception Taxonomy Terminology

来源：评论

学校读者我要写书评

暂无评论

AHR is a Zika virus host factor and a candidate target for antiviral therapy (vol 52, pg 941, 2020)

引用

NATURE NEUROSCIENCE 2020年第10期23卷 1307-1307页

作者： Giovannoni, Federico Bosch, Irene Polonio, Carolina Manganeli Torti, Maria F. Wheeler, Michael A. Li, Zhaorong Romorini, Leonardo Rodriguez Varela, Maria S. Rothhammer, Veit Barroso, Andreia Tjon, Emily C. Sanmarco, Liliana M. Takenaka, Maisa C. Modaresi, Seyed Mohamad Sadegh Gutierrez-Vazquez, Cristina Zanluqui, Nagela Ghabdan dos Santos, Nilton Barreto Munhoz, Carolina Demarchi Wang, Zhongyan Damonte, Elsa B. Sherr, David Gehrke, Lee Peron, Jean Pierre Schatzmann Garcia, Cybele C. Quintana, Francisco J. Ann Romney Center for Neurologic Diseases Brigham and Women’s Hospital Harvard Medical School Boston USA Laboratorio de Estrategias Antivirales Departamento de Química Biológica Facultad de Ciencias Exactas y Naturales Universidad de Buenos Aires. CONICET—Instituto de Química Biológica Buenos Aires Argentina Institute for Medical Engineering and Science Massachusetts Institute of Technology Cambridge USA Department of Medicine Mount Sinai School of Medicine New York USA Neuroimmune Interactions Laboratory Immunology Department—ICB IV University of São Paulo São Paulo Brazil Scientific Platform Pasteur—USP University of São Paulo São Paulo Brazil Laboratorio de Investigación aplicada a Neurociencias Fundación para la Lucha contra las Enfermedades Neurológicas de la Infancia Buenos Aires Argentina Immunopathology and Allergy Post Graduate Program School of Medicine University of São Paulo São Paulo Brazil Department of Pharmacology Institute of Biomedical Science University of São Paulo São Paulo Brazil Dept. of Environmental Health Boston University School of Public Health Boston USA Program in Virology Division of Medical Sciences Harvard Medical School Boston USA Broad Institute of MIT and Harvard Cambridge USA

Zika virus (ZIKV) is a flavivirus linked to multiple birth defects including microcephaly, known as congenital ZIKV syndrome. The identification of host factors involved in ZIKV replication may guide efficacious therapeutic interventions. In genome-wide transcriptional studies, we found that ZIKV infection triggers aryl hydrocarbon receptor (AHR) activation. Specifically, ZIKV infection induces kynurenine (Kyn) production, which activates AHR, limiting the production of type I interferons (IFN-I) involved in antiviral immunity. Moreover, ZIKV-triggered AHR activation suppresses intrinsic immunity driven by the promyelocytic leukemia (PML) protein, which limits ZIKV replication. AHR inhibition suppressed the replication of multiple ZIKV strains in vitro and also suppressed replication of the related flavivirus dengue. Finally, AHR inhibition with a nanoparticle-delivered AHR antagonist or an inhibitor developed for human use limited ZIKV replication and ameliorated newborn microcephaly in a murine model. In summary, we identified AHR as a host factor for ZIKV replication and PML protein as a driver of anti-ZIKV intrinsic immunity.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Efficacy of Bacterial Photodynamic Inactivation with Varying Angle and Time of LED Exposure

Efficacy of Bacterial Photodynamic Inactivation with Varying...

引用

International Conference on Instrumentation, Communications, Information Technology, and biomedical engineering (ICICI-BME)

作者： Suryani D. Astuti Winda P. Lestari Deny Arifianto Anggraini Pertiwi Irawan P. Buditomo Nike D.G. Drantantiyas Ernie M. Setiawatie Department of Physics Airlangga University Surabaya Indonesia post graduate Program in Biomedical Engineering Faculty of Dentistry Airlangga University Surabaya Indonesia

Streptococcus mutans (S. mutans) is a bacterium that plays a major role in the occurrence of dental caries. Dental caries is a disease that destroys tooth structure, consequently the tooth becomes perforated as well as the sustainable state of accumulation of S. mutans excess in the oral cavity can cause damage to the tooth nerve. One alternative treatment of caries is Photodynamic Inactivation (PDI). PDI is a method of microbial inactivation using light and photosensitizer (PS). The absorption of light energy by PS molecules can produce reactive oxygen species that will damage the bacterial cells. Clinical antimicrobial photodynamic therapy using a light source is generally performed at various angles of irradiation depending on the position of the tooth. The amis of this study is to analyze the effect of LED lamination angle (450.00 ± 0.21) nm for inactivation of S. mutans by adding PS chlorophylls of Moringa oliefera leaf with concentration 8 mg / ml. Total Plate Count (TPC) was used to determine the decreasement of bacterial viability in CFU / ml. The ANOVA test showed that the irradiation with variation of 90° exposure angle and 180s exposure time potentially inactivated was significantly different with other treatment variation (p

关键词： Light emitting diodes Microorganisms Absorption Teeth Dentistry Lighting

来源：评论

学校读者我要写书评

暂无评论

Addressing climate change with behavioral science: A global intervention tournament in 63 countries

引用

Science Advances 2024年第6期10卷 eadj5778页

作者： Vlasceanu, Madalina Doell, Kimberly C. Bak-Coleman, Joseph B. Todorova, Boryana Berkebile-Weinberg, Michael M. Grayson, Samantha J. Patel, Yash Goldwert, Danielle Pei, Yifei Chakroff, Alek Pronizius, Ekaterina van den Broek, Karlijn L. Vlasceanu, Denisa Constantino, Sara Morais, Michael J. Schumann, Philipp Rathje, Steve Fang, Ke Aglioti, Salvatore Maria Alfano, Mark Alvarado-Yepez, Andy J. Andersen, Angélica Anseel, Frederik Apps, Matthew A.J. Asadli, Chillar Awuor, Fonda Jane Azevedo, Flavio Basaglia, Piero Bélanger, Jocelyn J. Berger, Sebastian Bertin, Paul Bialek, Michal Bialobrzeska, Olga Blaya-Burgo, Michelle Bleize, Daniëlle N.M. Bø, Simen Boecker, Lea Boggio, Paulo S. Borau, Sylvie Bos, Björn Bouguettaya, Ayoub Brauer, Markus Brick, Cameron Brik, Tymofii Briker, Roman Brosch, Tobias Buchel, Ondrej Buonauro, Daniel Butalia, Radhika Carvacho, Héctor Chamberlain, Sarah A.E. Chan, Hang-Yee Chow, Dawn Chung, Dongil Cian, Luca Cohen-Eick, Noa Contreras-Huerta, Luis Sebastian Contu, Davide Cristea, Vladimir Cutler, Jo D'Ottone, Silvana De Keersmaecker, Jonas Delcourt, Sarah Delouvée, Sylvain Diel, Kathi Douglas, Benjamin D. Drupp, Moritz A. Dubey, Shreya Ekmanis, Jānis Elbaek, Christian T. Elsherif, Mahmoud Engelhard, Iris M. Escher, Yannik A. Etienne, Tom W. Farage, Laura Farias, Ana Rita Feuerriegel, Stefan Findor, Andrej Freira, Lucia Friese, Malte Gains, Neil Philip Gallyamova, Albina Geiger, Sandra J. Genschow, Oliver Gjoneska, Biljana Gkinopoulos, Theofilos Goldberg, Beth Goldenberg, Amit Gradidge, Sarah Grassini, Simone Gray, Kurt Grelle, Sonja Griffin, Siobhán M. Grigoryan, Lusine Grigoryan, Ani Grigoryev, Dmitry Gruber, June Guilaran, Johnrev Hadar, Britt Hahnel, Ulf J.J. Halperin, Eran Harvey, Annelie J. Haugestad, Christian A.P. Herman, Aleksandra M. Hershfield, Hal E. Himichi, Toshiyuki Hine, Donald W. Hofmann, Wilhelm Howe, Lauren Huaman-Chulluncuy, Enma T. Huang, Guanxiong Ishii, Tatsunori Ito, Ayahito Jia, Fanli Jost, John T. Jovanović, Veljko Jurgiel, Dominika Kácha, Ondřej Kankaanpää, Reeta Kant Department of Psychology New York University New YorkNY10003 United States Department of cognition emotion and Methods in Psychology Faculty of Psychology University of Vienna Vienna1010 Austria Craig newmark center for Journalism ethics and Security Columbia University New YorkNY10018 United States Institute for Rebooting Social Media Harvard University CambridgeMA02138 United States Department of Psychology Stanford University StanfordcA94305 United States San luis Obispo cA93405 United States Copernicus institute of Sustainable development Utrecht University Utrecht3584 cB Netherlands Department of Psychology University of Pittsburgh PittsburghPA15260 United States School of Public Policy and Urban Affairs Northeastern University BostonMA02115 United States Department of Psychology Northeastern University BostonMA02115 United States Amazon SeattleWA98109 United States Department of Psychology Carl von Ossietzky University of Oldenburg Oldenburg26129 Germany Santa lucia Foundation IRccS Rome179 Italy Department of Psychology Sapienza University of Rome Rome185 Italy Department of Philosophy Macquarie University SydneynSW2000 Australia Universidad Peruana cayetano heredia San Martín de Porres15102 Peru Post-Graduation Program in linguistics Federal University of Paraná Curitiba80060150 Brazil UnSW Business School University of new South Wales SydneynSW2052 Australia Centre for human Brain health School of Psychology University of Birmingham BirminghamB15 2tt United Kingdom Psychology Scientific Research institute Baku Azerbaijan Kenya Marine and Fisheries Research institute Kisumu1881-40100 Kenya Department of Psychology University of Groningen Groningen9712tS Netherlands Department of economics University of hamburg Hamburg20146 Germany De-partment of Psychology New York University Abu dhabi Abu dhabi129188 United Arab Emirates Department of Sociology University of Bern Bern3012 Switzerland LAPcOS Univers

Effectively reducing climate change requires marked, global behavior change. However, it is unclear which strategies are most likely to motivate people to change their climate beliefs and behaviors. Here, we tested 11 expert-crowdsourced interventions on four climate mitigation outcomes: beliefs, policy support, information sharing intention, and an effortful tree-planting behavioral task. Across 59,440 participants from 63 countries, the interventions’ effectiveness was small, largely limited to nonclimate skeptics, and differed across outcomes: Beliefs were strengthened mostly by decreasing psychological distance (by 2.3%), policy support by writing a letter to a future-generation member (2.6%), information sharing by negative emotion induction (12.1%), and no intervention increased the more effortful behavior—several interventions even reduced tree planting. Last, the effects of each intervention differed depending on people’s initial climate beliefs. These findings suggest that the impact of behavioral climate interventions varies across audiences and target behaviors. © 2024 American Association for the Advancement of Science. All rights reserved.

关键词： Climate change

来源：评论

学校读者我要写书评

暂无评论

Diversity and longitudinal records: Genetic architecture of disease associations and polygenic risk in the Taiwanese Han population

引用

Science advances 2025年第23期11卷 eadt0539页

作者： Ting-Yuan Liu Hsing-Fang Lu Yu-Chia Chen Chi-Chou Liao Ying-Ju Lin Jai-Sing Yang Wen-Ling Liao Wei-De Lin Shih-Yin Chen Yu-Chuen Huang Wei-Yong Lin Yu-Huei Liu Kai-Cheng Hsu Shih-Sheng Chang Hong-Da Chen Yu-Pao Chou Jan-Gowth Chang Chung-Hsing Wang Chwen-Tzuei Chang Chung-Ming Huang Kai-Jieh Yeo Tzu-Yuan Wang Chin-Chung Yeh Jiunn-Horng Chen Chi-Ping Huang Hsueh-Chou Lai Rong-Hsing Chen Hui-Ju Lin Po-Yuan Wu Jiu-Yao Wang Chin-Chi Kuo Der-Yang Cho Chang-Hai Tsai Fuu-Jen Tsai Million-person precision medicine initiative Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan. Master Program for Digital Health Innovation China Medical University Taichung 406040 Taiwan. Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan. Genetic Center Department of Medical Research China Medical University Hospital Taichung 40402 Taiwan. School of Post Baccalaureate Chinese Medicine China Medical University Taichung 404333 Taiwan. Graduate Institute of Integrated Medicine College of Chinese Medicine China Medical University Taichung 406040 Taiwan. Center for Personalized Medicine Department of Medical Research China Medical University Hospital Taichung 406040 Taiwan. School of Chinese Medicine China Medical University Taichung 406040 Taiwan. Drug Development Center China Medical University Taichung 406040 Taiwan. Artificial Intelligence Center China Medical University Hospital Taichung 40402 Taiwan. Department of Neurology China Medical University Hospital Taichung 40402 Taiwan. Department of Medicine China Medical University Taichung 406040 Taiwan. Department of Laboratory Medicine China Medical University Hospital Taichung 40402 Taiwan. Department of Bioinformatics and Medical Engineering Asia University Taichung 41300 Taiwan. Department of Medical Laboratory Science and Biotechnology China Medical University Taichung Taiwan. Division of Genetics and Metabolism Children's Hospital of China Medical University Taichung 404447 Taiwan. Intelligent Diabetes Metabolism and Exercise Center Department of Internal Medicine China Medical University Hospital Taichung 40402 Taiwan. Division of Immunology and Rheumatology Department of Internal Medicine China Medical University Hospital Taichung 40402 Taiwan. Division of Endocrine and Metabolism China Medical University Hospital Taichung 40402 Taiwan. Department of Urology China Medical University Hospital Taichung 40402 Taiwan. Cen

We addressed the underrepresentation of non-European populations in genome-wide association studies (GWASs) by building HiGenome, a large-scale genetic resource for the Taiwanese Han population. Using a custom genotyping array, we integrated deidentified electronic medical records (2003 to 2021) with genomic data to enable GWASs, phenome-wide association studies, and polygenic risk score (PRS) analysis. Among 413,000 participants, 323,397 passed ancestry and quality control filtering. GWASs covered 1085 traits, focusing on diseases prevalent in Taiwan such as type 2 diabetes, chronic kidney disease, gout, and alcoholic liver damage. PRSs were calculated for 238 traits, with the strongest associations observed in musculoskeletal disorders. Incorporating PRS into clinical practice supports early risk prediction and personalized prevention. To further expand translational value, we also conducted pharmacogenomic analysis and human leukocyte antigen typing. HiGenome offers a large-scale genetic and clinical dataset from the Taiwanese Han population, supporting population-specific analyses and precision medicine development in East Asia. The hospital-based design enables continuous follow-up and longitudinal data expansion.

关键词：

来源：评论

学校读者我要写书评

暂无评论

Body appreciation around the world: Measurement invariance of the Body Appreciation Scale-2 (BAS-2) across 65 nations, 40 languages, gender identities, and age

引用

Body image 2023年 46卷 449-466页

作者： Viren Swami Ulrich S Tran Stefan Stieger Toivo Aavik Hamed Abdollahpour Ranjbar Sulaiman Olanrewaju Adebayo Reza Afhami Oli Ahmed Annie Aimé Marwan Akel Hussam Al Halbusi George Alexias Khawla F Ali Nursel Alp-Dal Anas B Alsalhani Sara Álvares-Solas Ana Carolina Soares Amaral Sonny Andrianto Trefor Aspden Marios Argyrides John Jamir Benzon R Aruta Stephen Atkin Olusola Ayandele Migle Baceviciene Radvan Bahbouh Andrea Ballesio David Barron Ashleigh Bellard Sóley Sesselja Bender Kerime Derya Beydağ Gorana Birovljević Marie-Ève Blackburn Teresita Borja-Alvarez Joanna Borowiec Miroslava Bozogáňová Solfrid Bratland-Sanda Matthew H E M Browning Anna Brytek-Matera Marina Burakova Yeliz Çakır-Koçak Pablo Camacho Vittorio Emanuele Camilleri Valentina Cazzato Silvia Cerea Apitchaya Chaiwutikornwanich Trawin Chaleeraktrakoon Tim Chambers Qing-Wei Chen Xin Chen Chin-Lung Chien Phatthanakit Chobthamkit Bovornpot Choompunuch Emilio J Compte Jennifer Corrigan Getrude Cosmas Richard G Cowden Kamila Czepczor-Bernat Marcin Czub Wanderson Roberto da Silva Mahboubeh Dadfar Simon E Dalley Lionel Dany Jesus Alfonso D Datu Pedro Henrique Berbert de Carvalho Gabriel Lins de Holanda Coelho Avila Odia S De Jesus Sonia Harzallah Debbabi Sandesh Dhakal Francesca Di Bernardo Donka D Dimitrova Jacinthe Dion Barnaby Dixson Stacey M Donofrio Marius Drysch Hongfei Du Angel M Dzhambov Claire El-Jor Violeta Enea Mehmet Eskin Farinaz Farbod Lorleen Farrugia Leonie Fian Maryanne L Fisher Michał Folwarczny David A Frederick Matthew Fuller-Tyszkiewicz Adrian Furnham Antonio Alías García Shulamit Geller Marta Ghisi Alireza Ghorbani Maria Angeles Gomez Martinez Sarah Gradidge Sylvie Graf Caterina Grano Gyöngyvér Gyene Souheil Hallit Motasem Hamdan Jonathan E Handelzalts Paul H P Hanel Steven R Hawks Issa Hekmati Mai Helmy Tetiana Hill Farah Hina Geraldine Holenweger Martina Hřebíčková Olasupo Augustine Ijabadeniyi Asma Imam Başak İnce Natalia Irrazabal Rasa Jankauskiene Ding-Yu Jiang Micaela Jiménez-Borja Verónica Jiménez-Borja Evan M Johnson Veljko Jov School of Psychology and Sport Science Anglia Ruskin University Cambridge United Kingdom Centre for Psychological Medicine Perdana University Kuala Lumpur Malaysia. Electronic address: viren.swami@aru.ac.uk. Department of Cognition Emotion and Methods in Psychology Faculty of Psychology University of Vienna Vienna Austria. Department of Psychology and Psychodynamics Karl Landsteiner University of Health Sciences Krems an der Donau Austria. Institute of Psychology University of Tartu Tartu Estonia. Department of Psychology Koç University Istanbul Turkiye. Department of Psychology and Behavioural Studies Ekiti State University Ado-Ekiti Nigeria. Department of Art Studies Tarbiat Modares University Tehran Iran. Department of Psychology University of Chittagong Chattogram Bangladesh. Department of Psychoeducation and Psychology Université du Québec en Outaouais Saint-Jérôme Canada. INSPECT-LB: National Institute of Public Health Clinical Epidemiology and Toxicology Beirut Lebanon School of Pharmacy Lebanese International University Beirut Lebanon. Department of Management Ahmed Bin Mohammad Military College Doha Qatar. Faculty of Psychology Panteion University of Social and Political Sciences Athens Greece. Royal College of Surgeons Ireland-Bahrain Adliya Bahrain. Department of Midwifery Faculty of Health Sciences Munzur University Tunceli Turkiya. Department of Oral Medicine and Diagnostic Sciences Vision College of Dentistry and Nursing Vision Colleges Riyadh Saudi Arabia. Facultad de Ciencias de la Vida Universidad Regional Amazónica Ikiam Muyuna Ecuador. Federal Institute of Education Science and Technology of Southeast Minas Gerais Barbacena Brazil. Department of Psychology Universitas Islam Indonesia Yogyakarta Indonesia. Department of Psychology Aberystwyth University Ceredigion United Kingdom. Department of Psychology Neapolis University Pafos Paphos Cyprus. Department of Psychology De La Salle University Phillippines. Department of Gen

The Body Appreciation Scale-2 (BAS-2) is a widely used measure of a core facet of the positive body image construct. However, extant research concerning measurement invariance of the BAS-2 across a large number of nations remains limited. Here, we utilised the Body Image in Nature (BINS) dataset - with data collected between 2020 and 2022 - to assess measurement invariance of the BAS-2 across 65 nations, 40 languages, gender identities, and age groups. Multi-group confirmatory factor analysis indicated that full scalar invariance was upheld across all nations, languages, gender identities, and age groups, suggesting that the unidimensional BAS-2 model has widespread applicability. There were large differences across nations and languages in latent body appreciation, while differences across gender identities and age groups were negligible-to-small. Additionally, greater body appreciation was significantly associated with higher life satisfaction, being single (versus being married or in a committed relationship), and greater rurality (versus urbanicity). Across a subset of nations where nation-level data were available, greater body appreciation was also significantly associated with greater cultural distance from the United States and greater relative income inequality. These findings suggest that the BAS-2 likely captures a near-universal conceptualisation of the body appreciation construct, which should facilitate further cross-cultural research.

关键词： Body appreciation Body appreciation Scale-2 (BAS-2) Cross-cultural Measurement invariance Multi-group confirmatory factor analysis (MG-CFA) Psychometrics Structural analysis

来源：评论

学校读者我要写书评

暂无评论

Nanorobotics in Drug Delivery Systems for Treatment of Cancer： A Review

引用

材料科学与工程（中英文A版） 2016年第3期6卷 167-180页

作者： Glecia Virgolino da Silva LUZ Post-Graduate Program in Biomedical Engineering Campus Gama-FGA University of Brasilia-UnB Brasilia 72444-240 Brazil Pharmaceutical Technology and Quality Control of Medicines University Center of Distrito Federal-UDF Brasilia 70390-045Brazil University of Brasilia-UnB/ UnB at Gama-FGA Brasilia 72444-240 Brazil Post-Graduate Program in Health Sciences Campus Darcy Ribeiro University of Brasilia-UnB Brasilia 70910-900 Brazil Nanotechnology Laboratory- University of Brasilia at Gama (NANOTEC-FGA/UnB) Brasilia 72444-240 Brazil

来源：评论

学校读者我要写书评

暂无评论

Estimates, trends, and drivers of the global burden of type 2 diabetes attributable to PM_2·5 air pollution, 1990–2019: an analysis of data from the Global Burden of Disease Study 2019

引用

The Lancet Planetary Health 2022年第7期6卷 e586-e600页

作者： Burkart, Katrin Causey, Kate Cohen, Aaron J Wozniak, Sarah S Salvi, Devashri Digvijay Abbafati, Cristiana Adekanmbi, Victor Adsuar, Jose C Ahmadi, Keivan Alahdab, Fares Al-Aly, Ziyad Alipour, Vahid Alvis-Guzman, Nelson Amegah, Adeladza Kofi Andrei, Catalina Liliana Andrei, Tudorel Ansari, Fereshteh Arabloo, Jalal Aremu, Olatunde Aripov, Timur Babaee, Ebrahim Banach, MacIej Barnett, Anthony Bärnighausen, Till Winfried Bedi, Neeraj Behzadifar, Masoud Béjot, Yannick Bennett, Derrick A Bensenor, Isabela M Bernstein, Robert S Bhattacharyya, Krittika Bijani, Ali Biondi, Antonio Bohlouli, Somayeh Breitner, Susanne Brenner, Hermann Butt, Zahid A Cámera, Luis Alberto Cantu-Brito, Carlos Carvalho, Felix Cerin, Ester Chattu, Vijay Kumar Chauhan, Bal Govind Choi, Jee-Young Jasmine Chu, Dinh-Toi Dai, Xiaochen Dandona, Lalit Dandona, Rakhi Daryani, Ahmad Davletov, Kairat De Courten, Barbora Demeke, Feleke Mekonnen Denova-Gutiérrez, Edgar Dharmaratne, Samath Dhamminda Dhimal, Meghnath Diaz, Daniel Djalalinia, Shirin Duncan, Bruce B El Sayed Zaki, Maysaa Eskandarieh, Sharareh Fareed, Mohammad Farzadfar, Farshad Fattahi, Nazir Fazlzadeh, Mehdi Fernandes, Eduarda Filip, Irina Fischer, Florian Foigt, Nataliya A Freitas, Marisa Ghashghaee, Ahmad Gill, Paramjit Singh Ginawi, Ibrahim Abdelmageed Gopalani, Sameer Vali Guo, Yuming Gupta, Rajat Das Habtewold, Tesfa Dejenie Hamadeh, Randah R Hamidi, Samer Hankey, Graeme J Hasanpoor, Edris Hassen, Hamid Yimam Hay, Simon I Heibati, Behzad Hole, Michael K Hossain, Naznin Househ, Mowafa Irvani, Seyed Sina Naghibi Jaafari, Jalil Jakovljevic, Mihajlo Jha, Ravi Prakash Jonas, Jost B Jozwiak, Jacek Jerzy Kasaeian, Amir Kaydi, Neda Khader, Yousef Saleh Khafaie, Morteza Abdullatif Khan, Ejaz Ahmad Khan, Junaid Khan, Md Nuruzzaman Khatab, Khaled Khater, Amir M Kim, Yun Jin Kimokoti, Ruth W Kisa, Adnan Kivimäki, Mika Knibbs, Luke D Kosen, Soewarta Koul, Parvaiz A Koyanagi, Ai Defo, Barthelemy Kuate Kugbey, Nuworza Lauriola, Paolo Lee, Paul H Leili, Mostafa Lewycka, Sonia Li, Shanshan Lim, Lee-Ling Li Institute for Health Metrics and Evaluation University of Washington Seattle WA United States Department of Health Metrics Sciences School of Medicine University of Washington Seattle WA United States Division of Plastic and Reconstructive Surgery University of Washington Seattle WA United States Research Insights and Innovation Seattle WA United States Health Effects Institute Boston MA United States School of Public Health Boston University Boston MA United States Department of Juridical and Economic Studies La Sapienza University Rome Italy Department of Population Medicine Cardiff University Cardiff United Kingdom Sport Science Department University of Extremadura Badajoz Spain School of Public Health Imperial College London London United Kingdom Department of Primary Care and Public Health Imperial College London London United Kingdom Mayo Evidence-based Practice Center Mayo Clinic Foundation for Medical Education and Research Rochester MN United States John T. Milliken Department of Internal Medicine Washington University in St. Louis St. Louis MO United States Clinical Epidemiology Center US Department of Veterans Affairs (VA) St Louis MO United States Health Management and Economics Research Center Iran University of Medical Sciences Tehran Iran Department of Health Economics Iran University of Medical Sciences Tehran Iran Preventive Medicine and Public Health Research Center Iran University of Medical Sciences Tehran Iran Pars Advanced and Minimally Invasive Medical Manners Research Center Iran University of Medical Sciences Tehran Iran Department of Community and Family Medicine Iran University of Medical Sciences Tehran Iran Research Group in Hospital Management and Health Policies Universidad de la Costa (University of the Coast) Barranquilla Colombia Research Group in Health Economics University of Cartagena Cartagena Colombia Department of Biomedical Science University of Cape Coast Cape Coast Ghana Cardiology Department Ca

Background: Experimental and epidemiological studies indicate an association between exposure to particulate matter (PM) air pollution and increased risk of type 2 diabetes. In view of the high and increasing prevalence of diabetes, we aimed to quantify the burden of type 2 diabetes attributable to PM_2·5 originating from ambient and household air pollution. Methods: We systematically compiled all relevant cohort and case-control studies assessing the effect of exposure to household and ambient fine particulate matter (PM_2·5) air pollution on type 2 diabetes incidence and mortality. We derived an exposure–response curve from the extracted relative risk estimates using the MR-BRT (meta-regression—Bayesian, regularised, trimmed) tool. The estimated curve was linked to ambient and household PM_2·5 exposures from the Global Burden of Diseases, Injuries, and Risk Factors Study 2019, and estimates of the attributable burden (population attributable fractions and rates per 100 000 population of deaths and disability-adjusted life-years) for 204 countries from 1990 to 2019 were calculated. We also assessed the role of changes in exposure, population size, age, and type 2 diabetes incidence in the observed trend in PM_2·5-attributable type 2 diabetes burden. All estimates are presented with 95% uncertainty intervals. Findings: In 2019, approximately a fifth of the global burden of type 2 diabetes was attributable to PM_2·5 exposure, with an estimated 3·78 (95% uncertainty interval 2·68–4·83) deaths per 100 000 population and 167 (117–223) disability-adjusted life-years (DALYs) per 100 000 population. Approximately 13·4% (9·49–17·5) of deaths and 13·6% (9·73–17·9) of DALYs due to type 2 diabetes were contributed by ambient PM2·5, and 6·50% (4·22–9·53) of deaths and 5·92% (3·81–8·64) of DALYs by household air pollution. High burdens, in terms of numbers as well as rates, were estimated in Asia, sub-Saharan Africa, and South Am

关键词：

来源：评论

学校读者我要写书评

暂无评论

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案：

请选择收藏分类：

通借通还

建议与咨询 留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

时间限定

文献类型

馆藏选择

核心期刊

语言

文献类型

帮助

文字说明：

检索规则说明：

检索范例：

分类表

所选分类

限定检索结果

文献类型

馆藏范围

日期分布

学科分类号

主题

机构

作者

语言

请选择保存的检索档案： 新增检索档案 确定 取消

请选择收藏分类： 新增自定义分类 确定 取消

通借通还

建议与咨询留下您的常用邮箱和电话号码，以便我们向您反馈解决方案和替代方法

请选择保存的检索档案：

请选择收藏分类：