Based on PCA and SSA-LightGBM oil-immersed transformer fault diagnosis method.

Nhiều tác giả: Wang J; State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, China., Chi J; State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, China., Ding Y; State Grid Zhejiang Electric Power Co., Ltd., Hangzhou, China., Yao H; Hangzhou Electric Power Equipment Manufacturing Co., Ltd., Hangzhou, China., Guo Q; Hangzhou Electric Power Equipment Manufacturing Co., Ltd., Hangzhou, China.

Nguồn: PloS one [PLoS One] 2025 Feb 19; Vol. 20 (2), pp. e0314481. Date of Electronic Publication: 2025 Feb 19 (Print Publication: 2025).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis* , Oils*/chemistry, Algorithms ; Models, Theoretical ; Boosting Machine Learning Algorithms

Improving stroke risk prediction by integrating XGBoost, optimized principal component analysis, and explainable artificial intelligence.

Nhiều tác giả: Mochurad L; Artificial Intelligence Department, Lviv Polytechnic National University, 12 S. Bandery St, Lviv, 79013, Ukraine. lesia.i.mochurad@lpnu.ua., Babii V; Artificial Intelligence Department, Lviv Polytechnic National University, 12 S. Bandery St, Lviv, 79013, Ukraine., Boliubash Y; Artificial Intelligence Department, Lviv Polytechnic National University, 12 S. Bandery St, Lviv, 79013, Ukraine., Mochurad Y; Danylo Halytsky Lviv National Medical University, 69 Pekarska Street, Lviv, 79010, Ukraine.

Nguồn: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2025 Feb 07; Vol. 25 (1), pp. 63. Date of Electronic Publication: 2025 Feb 07.

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: BioMed Central Country of Publication: England NLM ID: 101088682 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6947 (Electronic) Linking ISSN: 14726947 NLM ISO Abbreviation: BMC Med Inform Decis Mak Subsets: MEDLINE

Điều khoản MeSH: Stroke*/diagnosis , Principal Component Analysis* , Artificial Intelligence* , Machine Learning*, Humans ; Risk Assessment/methods ; Boosting Machine Learning Algorithms

Identifying patterns differing between high-dimensional datasets with generalized contrastive PCA.

Nhiều tác giả: de Oliveira EF; Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America., Garg P; All India Institute of Medical Sciences, Rishikesh, India., Hjerling-Leffler J; Department of Medical Biochemistry and Biophysics, Karolinska Institutet, Stockholm, Sweden., Batista-Brito R; Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America.; Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York, United States of America.; Department of Genetics, Albert Einstein College of Medicine, Bronx, New York, United States of America., Sjulson L; Dominick P. Purpura Department of Neuroscience, Albert Einstein College of Medicine, Bronx, New York, United States of America.; Department of Psychiatry and Behavioral Sciences, Albert Einstein College of Medicine, Bronx, New York, United States of America.

Nguồn: PLoS computational biology [PLoS Comput Biol] 2025 Feb 07; Vol. 21 (2), pp. e1012747. Date of Electronic Publication: 2025 Feb 07 (Print Publication: 2025).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis*/methods , Computational Biology*/methods, Animals ; Algorithms ; Mice ; Hippocampus/physiology ; Humans

Optimization design and application of library face recognition access control system based on improved PCA.

Nhiều tác giả: Lin N; Library, Jilin Agricultural University, Changchun, China., Ding Y; College of Artificial Intelligence Technology, Changchun Institute of Technology, Changchun, China., Tan Y; College of Artificial Intelligence Technology, Changchun Institute of Technology, Changchun, China.

Nguồn: PloS one [PLoS One] 2025 Jan 07; Vol. 20 (1), pp. e0313415. Date of Electronic Publication: 2025 Jan 07 (Print Publication: 2025).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Algorithms* , Principal Component Analysis*, Humans ; Automated Facial Recognition/methods ; Bayes Theorem ; Libraries ; Cluster Analysis

Comparison of principal component analysis algorithms for imputation in agrometeorological data in high dimension and reduced sample size.

Nhiều tác giả: de Souza VC; São Paulo State University (Unesp), School of Agriculture, Botucatu, São Paulo, Brasil., Rodrigues SA; São Paulo State University (Unesp), School of Agriculture, Botucatu, São Paulo, Brasil., Filho LRAG; São Paulo State University (Unesp), School of Sciences and Engineering, Tupã, São Paulo, Brasil.

Nguồn: PloS one [PLoS One] 2024 Dec 31; Vol. 19 (12), pp. e0315574. Date of Electronic Publication: 2024 Dec 31 (Print Publication: 2024).

Loại xuất bản: Journal Article; Comparative Study

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Algorithms* , Principal Component Analysis*, Sample Size ; Least-Squares Analysis ; Brazil

Prediction of miRNA-disease associations based on PCA and cascade forest.

Nhiều tác giả: Zhang C; Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, 300457, China., Li Y; Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, 300457, China., Dong Y; Artificial Intelligence, Tianjin University of Science and Technology, Tianjin, 300457, China., Chen W; Computer Science, China University of Mining and Technology, Xuzhou, 221116, China., Yu C; Electronic Information, Xijing University, Xi'an, 710123, China. xaycq@163.com.

Nguồn: BMC bioinformatics [BMC Bioinformatics] 2024 Dec 19; Vol. 25 (1), pp. 386. Date of Electronic Publication: 2024 Dec 19.

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

Điều khoản MeSH: MicroRNAs*/genetics , MicroRNAs*/metabolism , Algorithms* , Principal Component Analysis*, Humans ; Computational Biology/methods ; Lung Neoplasms/genetics ; Breast Neoplasms/genetics ; Genetic Predisposition to Disease/genetics ; Esophageal Neoplasms/genetics

Adjusting for principal components can induce collider bias in genome-wide association studies.

Nhiều tác giả: Grinde KE; Department of Mathematics, Statistics, and Computer Science, Macalester College, Saint Paul, Minnesota, United States of America., Browning BL; Division of Medical Genetics, Department of Medicine, University of Washington, Seattle, Washington, United States of America., Reiner AP; Public Health Sciences Division, Fred Hutchinson Cancer Research Center, Seattle, Washington, United States of America.; Department of Epidemiology, University of Washington, Seattle, Washington, United States of America., Thornton TA; Regeneron Genetics Center, Tarrytown, New York, United States of America.; Department of Biostatistics, University of Washington, Seattle, Washington, United States of America., Browning SR; Department of Biostatistics, University of Washington, Seattle, Washington, United States of America.

Nguồn: PLoS genetics [PLoS Genet] 2024 Dec 16; Vol. 20 (12), pp. e1011242. Date of Electronic Publication: 2024 Dec 16 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101239074 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7404 (Electronic) Linking ISSN: 15537390 NLM ISO Abbreviation: PLoS Genet Subsets: MEDLINE

Điều khoản MeSH: Black or African American*/genetics , Genome-Wide Association Study*/methods , Linkage Disequilibrium* , Polymorphism, Single Nucleotide* , Principal Component Analysis*, Female ; Humans ; Bias ; Genome, Human ; Pulmonary Disease, Chronic Obstructive/genetics

Risk contagion of COVID-19 to oil prices: A Markov switching GARCH and PCA approach.

Nhiều tác giả: Siddiqui N; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Dubai, United Arab Emirates.; Department of Mathematics, University of Sharjah, Sharjah, United Arab Emirates., Mohamad Hasim H; Department of Actuarial Mathematics and Statistics, Heriot-Watt University, Dubai, United Arab Emirates.

Nguồn: PloS one [PLoS One] 2024 Dec 05; Vol. 19 (12), pp. e0312718. Date of Electronic Publication: 2024 Dec 05 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: COVID-19*/epidemiology , COVID-19*/economics , COVID-19*/transmission , Markov Chains* , Principal Component Analysis* , Petroleum*/economics, Humans ; SARS-CoV-2/isolation & purification ; Commerce/economics ; Pandemics/economics ; Models, Economic

Enhancing land cover object classification in hyperspectral imagery through an efficient spectral-spatial feature learning approach.

Nhiều tác giả: Afjal M; Department of Computer Science and Engineering, Hajee Mohammad Danesh Science and Technology University, Dinajpur, Bangladesh.; Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh., Mondal MNI; Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh., Mamun MA; Department of Computer Science and Engineering, Rajshahi University of Engineering & Technology, Rajshahi, Bangladesh.

Nguồn: PloS one [PLoS One] 2024 Dec 05; Vol. 19 (12), pp. e0313473. Date of Electronic Publication: 2024 Dec 05 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis* , Neural Networks, Computer*, Hyperspectral Imaging/methods ; Image Processing, Computer-Assisted/methods ; Algorithms

Predicting stroke occurrences: a stacked machine learning approach with feature selection and data preprocessing.

Nhiều tác giả: Chakraborty P; School of computer engineering, KIIT University, Patia, Bhubaneswar, Odisha, 751024, India., Bandyopadhyay A; School of computer engineering, KIIT University, Patia, Bhubaneswar, Odisha, 751024, India., Sahu PP; School of computer engineering, KIIT University, Patia, Bhubaneswar, Odisha, 751024, India., Burman A; School of computer engineering, KIIT University, Patia, Bhubaneswar, Odisha, 751024, India., Mallik S; Department of Environmental Health, Harvard T H Chan School of public Health, 677 Harrington Avenue, Boston, MA, 02115, USA., Alsubaie N; Department of Computer Sciences, College of Computer and Information Sciences, Princess Nourah bint Abdulrahman University, P.O. Box 84428, 11671, Riyadh, Saudi Arabia., Abbas M; Electrical Engineering Department, College of Engineering, King Khalid University, 61421, Abha, Saudi Arabia., Alqahtani MS; Radiological Sciences Department, College of Applied Medical Sciences, King Khalid University, 61421, Abha, Saudi Arabia.; BioImaging Unit, Space Research Centre, University of Leicester, Michael Atiyah Building, Leicester, LE1 7RH, UK., Soufiene BO; PRINCE Laboratory Research, ISITcom, Hammam Sousse, University of Sousse, Sousse, Tunisia. soufiene.benothman@isim.rnu.tn.

Nguồn: BMC bioinformatics [BMC Bioinformatics] 2024 Oct 15; Vol. 25 (1), pp. 329. Date of Electronic Publication: 2024 Oct 15.

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: BioMed Central Country of Publication: England NLM ID: 100965194 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2105 (Electronic) Linking ISSN: 14712105 NLM ISO Abbreviation: BMC Bioinformatics Subsets: MEDLINE

Điều khoản MeSH: Machine Learning* , Stroke* , Principal Component Analysis*, Humans ; Algorithms ; Female ; Male ; Decision Trees

Validation of morphological ear classification devised by principal component analysis using three-dimensional images for human identification.

Nhiều tác giả: Biwasaka H; Forensic Science Laboratory, Iwate Prefectural Police Headquarters, Iwate, Japan.; Division of Legal Medicine, Department of Forensic Science, Iwate Medical University, Iwate, Japan., Usui A; Department of Diagnostic Image Analysis, Tohoku University Graduate School of Medicine, Miyagi, Japan., Takamiya M; Division of Legal Medicine, Department of Forensic Science, Iwate Medical University, Iwate, Japan., Angelakopoulos N; Department of Orthodontics and Dentofacial Orthopedics, University of Bern, Bern, Switzerland., Cameriere R; Department of Medicine and Health Science 'Vincenzo Tiberio', University of Molise, Age Estimation Project, Campobasso, Italy., Kumagai A; Division of Forensic Odontology and Disaster Oral Medicine, Department of Forensic Science, Iwate Medical University, Iwate, Japan.

Nguồn: PloS one [PLoS One] 2024 Oct 21; Vol. 19 (10), pp. e0306843. Date of Electronic Publication: 2024 Oct 21 (Print Publication: 2024).

Loại xuất bản: Journal Article; Validation Study

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis* , Imaging, Three-Dimensional*/methods , Tomography, X-Ray Computed*/methods, Humans ; Male ; Aged ; Middle Aged ; Adolescent ; Aged, 80 and over ; Adult ; Young Adult ; Ear/anatomy & histology ; Ear/diagnostic imaging ; Forensic Anthropology/methods

A comparison of principal component analysis, reduced-rank regression, and partial least-squares in the identification of dietary patterns associated with cardiometabolic risk factors in Iranian overweight and obese women.

Nhiều tác giả: Gholami F; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O Box 6446, 14155, Tehran, Iran. gholami_fghlm67@yahoo.com., Hajiheidari A; Independent Researcher/Freelancer, Tehran, Iran., Barkhidarian B; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O Box 6446, 14155, Tehran, Iran., Soveid N; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O Box 6446, 14155, Tehran, Iran., Yekaninejad MS; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran., Karimi Z; Department of Epidemiology and Biostatistics, School of Public Health, Tehran University of Medical Science, Tehran, Iran., Bahrampour N; Department of Nutrition, Science and Research Branch, Islamic Azad University (SRBIAU), Tehran, Iran., Keshavarz SA; Department of Clinical Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences, Tehran, Iran., Javdan G; Food Health Research Center, Hormozgan University of Medical Sciences, Bandar 'Abbas, Iran., Mirzaei K; Department of Community Nutrition, School of Nutritional Sciences and Dietetics, Tehran University of Medical Sciences (TUMS), P.O Box 6446, 14155, Tehran, Iran. mirzaei_kh@tums.ac.ir.

Nguồn: BMC medical research methodology [BMC Med Res Methodol] 2024 Sep 27; Vol. 24 (1), pp. 215. Date of Electronic Publication: 2024 Sep 27.

Loại xuất bản: Journal Article; Comparative Study

Thông tin tạp chí: Publisher: BioMed Central Country of Publication: England NLM ID: 100968545 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2288 (Electronic) Linking ISSN: 14712288 NLM ISO Abbreviation: BMC Med Res Methodol Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis* , Obesity*/epidemiology , Overweight*/epidemiology , Cardiometabolic Risk Factors*, Humans ; Female ; Iran/epidemiology ; Adult ; Middle Aged ; Cross-Sectional Studies ; Least-Squares Analysis ; Diet/statistics & numerical data ; Diet/methods ; Diet/adverse effects ; Young Adult ; Aged ; Risk Factors ; Folic Acid/blood ; Cardiovascular Diseases/epidemiology ; Cardiovascular Diseases/etiology ; Adolescent ; Feeding Behavior

The temporal distribution of ridership in metro stations from land-use perspective.

Nhiều tác giả: Dai S; School of Civil and Architectural Engineering, Xi'an Jiaotong University City College, Xi'an, Shaanxi Province, China., Yu L; China Northwest Architectural Design and Research Institute CO., LTD, Xi'an, Shaanxi Province, China., Song L; School of Civil and Architectural Engineering, Xi'an Jiaotong University City College, Xi'an, Shaanxi Province, China., Li Y; School of Civil and Architectural Engineering, Xi'an Jiaotong University City College, Xi'an, Shaanxi Province, China., Fan X; School of Civil and Architectural Engineering, Xi'an Jiaotong University City College, Xi'an, Shaanxi Province, China.

Nguồn: PloS one [PLoS One] 2024 Sep 03; Vol. 19 (9), pp. e0308759. Date of Electronic Publication: 2024 Sep 03 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis*, Humans ; Railroads ; Transportation/statistics & numerical data ; Cities

A novel method for cell deconvolution using DNA methylation in PCA space.

Nhiều tác giả: Xu H; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA., Zhang G; Division of Human Genetics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA.; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA.; Center for Prevention of Preterm Birth, Perinatal Institute, Cincinnati Children's Hospital Medical Center and March of Dimes Prematurity Research Center Ohio Collaborative, Cincinnati, OH, USA., Chen J; Department of Pediatrics, University of Cincinnati College of Medicine, Cincinnati, OH, USA. jing.chen2@cchmc.org.; Division of Biomedical Informatics, Cincinnati Children's Hospital Medical Center, Cincinnati, OH, USA. jing.chen2@cchmc.org.

Nguồn: BMC genomics [BMC Genomics] 2024 Aug 23; Vol. 25 (1), pp. 798. Date of Electronic Publication: 2024 Aug 23.

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: BioMed Central Country of Publication: England NLM ID: 100965258 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2164 (Electronic) Linking ISSN: 14712164 NLM ISO Abbreviation: BMC Genomics Subsets: MEDLINE

Điều khoản MeSH: DNA Methylation* , Principal Component Analysis* , Glioma*/genetics , Glioma*/pathology, Humans

A multi-view representation technique based on principal component analysis for enhanced short text clustering.

Nhiều tác giả: Ahmed MH; CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.; Ministry of Higher Education and Scientific Research, Baghdad, Iraq., Tiun S; CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia., Omar N; CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia., Sani NS; CAIT, Faculty of Information Science and Technology, Universiti Kebangsaan Malaysia, Bangi, Selangor, Malaysia.

Nguồn: PloS one [PLoS One] 2024 Aug 23; Vol. 19 (8), pp. e0309206. Date of Electronic Publication: 2024 Aug 23 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Principal Component Analysis* , Data Mining*/methods, Cluster Analysis ; Algorithms ; Humans

The impact of high-temperature treatments on maize growth parameters and soil nutrients: A comprehensive evaluation through principal component analysis.

Nhiều tác giả: Guo Z; Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, China., Han J; Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, China., Zhang Y; Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, China., Zhuang H; Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Institute of Land Engineering and Technology, Shaanxi Provincial Land Engineering Construction Group Co., Ltd., Xi'an, China.; Key Laboratory of Degraded and Unused Land Consolidation Engineering, Ministry of Natural Resources, Xi'an, China.

Nguồn: PloS one [PLoS One] 2024 Aug 15; Vol. 19 (8), pp. e0309070. Date of Electronic Publication: 2024 Aug 15 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Zea mays*/growth & development , Soil*/chemistry , Principal Component Analysis* , Hot Temperature*, Nutrients/analysis ; Phosphorus/analysis ; Phosphorus/metabolism

Research on comprehensive evaluation & development of aesthetic education based on PCA and CEM model.

Nhiều tác giả: Xu XH; School of Art, Anhui University of Finance and Economics, Bengbu, China., Niu YT; School of Art, Anhui University of Finance and Economics, Bengbu, China., Li ZM; Graduate School, Hankuk University of Foreign Studies, Seoul, Korea., Xu YY; School of Statistics and Applied Mathematics, Anhui University of Finance and Economics, Bengbu, China., Cao KW; School of Art, Anhui University of Finance and Economics, Bengbu, China.

Nguồn: PloS one [PLoS One] 2024 Aug 09; Vol. 19 (8), pp. e0308446. Date of Electronic Publication: 2024 Aug 09 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Esthetics* , Principal Component Analysis*, Humans ; Universities ; Curriculum ; China ; Students/psychology ; Models, Educational

Genotypic and phenotypic characterisation of three local chicken ecotypes of Ghana based on principal component analysis and body measurements.

Nhiều tác giả: Botchway PK; Department of Animal Science, University of Ghana, Legon, Accra, Ghana.; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America., Amuzu-Aweh EN; Department of Animal Science, University of Ghana, Legon, Accra, Ghana.; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America., Naazie A; Department of Animal Science, University of Ghana, Legon, Accra, Ghana.; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America., Aning GK; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; School of Veterinary Medicine, University of Ghana, Legon, Accra, Ghana., Otsyina HR; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; School of Veterinary Medicine, University of Ghana, Legon, Accra, Ghana., Saelao P; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; Department of Animal Science, University of California, Davis, CA, United States of America., Wang Y; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; Department of Animal Science, University of California, Davis, CA, United States of America., Zhou H; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; Department of Animal Science, University of California, Davis, CA, United States of America., Dekkers JCM; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; Department of Animal Science, Iowa State University, Ames, IA, United States of America., Lamont SJ; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; Department of Animal Science, Iowa State University, Ames, IA, United States of America., Gallardo RA; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; School of Veterinary Medicine, University of California, Davis, CA, United States of America., Kelly TR; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; One Health Institute, University of California, Davis, CA, United States of America., Bunn D; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.; Department of Animal Science, University of California, Davis, CA, United States of America., Kayang BB; Department of Animal Science, University of Ghana, Legon, Accra, Ghana.; USAID Feed the Future Innovation Lab for Genomics to Improve Poultry, University of California, Davis, CA, United States of America.

Nguồn: PloS one [PLoS One] 2024 Aug 07; Vol. 19 (8), pp. e0308420. Date of Electronic Publication: 2024 Aug 07 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101285081 Publication Model: eCollection Cited Medium: Internet ISSN: 1932-6203 (Electronic) Linking ISSN: 19326203 NLM ISO Abbreviation: PLoS One Subsets: MEDLINE

Điều khoản MeSH: Chickens*/genetics , Ecotype* , Principal Component Analysis* , Phenotype* , Genotype* , Polymorphism, Single Nucleotide*, Animals ; Ghana ; Female ; Male ; Body Weight

A hybrid EEG classification model using layered cascade deep learning architecture.

Nhiều tác giả: Liu C; College of Communication Engineering, Jilin University, Ren Min Street 5988, Changchun, China., Chen W; College of Communication Engineering, Jilin University, Ren Min Street 5988, Changchun, China., Li M; College of Communication Engineering, Jilin University, Ren Min Street 5988, Changchun, China. limingyang@jlu.edu.cn.

Nguồn: Medical & biological engineering & computing [Med Biol Eng Comput] 2024 Jul; Vol. 62 (7), pp. 2213-2229. Date of Electronic Publication: 2024 Mar 20.

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Springer Country of Publication: United States NLM ID: 7704869 Publication Model: Print-Electronic Cited Medium: Internet ISSN: 1741-0444 (Electronic) Linking ISSN: 01400118 NLM ISO Abbreviation: Med Biol Eng Comput Subsets: MEDLINE

Điều khoản MeSH: Electroencephalography*/methods , Deep Learning* , Seizures*/diagnosis , Seizures*/physiopathology , Seizures*/classification , Algorithms* , Principal Component Analysis* , Signal Processing, Computer-Assisted*, Humans

Logistic PCA explains differences between genome-scale metabolic models in terms of metabolic pathways.

Nhiều tác giả: Zehetner L; Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.; Vienna Doctoral School in Chemistry (DoSChem), University of Vienna, Vienna, Austria.; Gene Therapy Process Development, Baxalta Innovations GmbH, a Part of Takeda Companies, Orth an der Donau, Austria., Széliová D; Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria., Kraus B; Gene Therapy Process Development, Baxalta Innovations GmbH, a Part of Takeda Companies, Orth an der Donau, Austria., Hernandez Bort JA; Gene Therapy Process Development, Baxalta Innovations GmbH, a Part of Takeda Companies, Orth an der Donau, Austria., Zanghellini J; Department of Analytical Chemistry, Faculty of Chemistry, University of Vienna, Vienna, Austria.

Nguồn: PLoS computational biology [PLoS Comput Biol] 2024 Jun 24; Vol. 20 (6), pp. e1012236. Date of Electronic Publication: 2024 Jun 24 (Print Publication: 2024).

Loại xuất bản: Journal Article

Thông tin tạp chí: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101238922 Publication Model: eCollection Cited Medium: Internet ISSN: 1553-7358 (Electronic) Linking ISSN: 1553734X NLM ISO Abbreviation: PLoS Comput Biol Subsets: MEDLINE

Điều khoản MeSH: Metabolic Networks and Pathways*/genetics , Principal Component Analysis* , Models, Biological*, Humans ; Algorithms ; Computational Biology/methods ; Phylogeny ; Cluster Analysis ; Genome/genetics