ANOTHER GOOD YEAR FOR STOCKS. (cover story)

Autori: SMITH, ANNE KATES (AUTHOR) Anne.Smith@futurenet.com

Izvor: Kiplinger Personal Finance. Jan2025, Vol. 79 Issue 1, p22-30. 8p. 2 Color Photographs, 1 Chart.

Tematski pojmovi: *ECONOMIC forecasting, *INTEREST rates, *BUSINESS cycles, *MID-capitalization stocks, *MORTGAGE-backed securities, *CENTRAL banking industry, *PETROLEUM sales & prices, *REAL estate investment trusts, *EXCHANGE traded funds

Kompanija/Jedinica: BANK of America Corp. 055169452

Forecasting cardiovascular disease mortality using artificial neural networks in Sindh, Pakistan.

Autori: Qureshi M; Govt Degree College TangoJam, Hyderabad 70060, Sindh, Pakistan.; Department of Statistics, Quaid-i-Azam University, 45320, Islamabad, Pakistan., Ishaq K; Ibn-e-Sina Medical University Mirpurkhas, Sindh, Pakistan., Daniyal M; Department of Statistics, Faculty of Computing, The Islamia University of Bahawalpur, Bahawalpur, Pakistan., Iftikhar H; Department of Statistics, Quaid-i-Azam University, 45320, Islamabad, Pakistan. hasnain@stat.qau.edu.pk.; Al-Barkaat Institute of Management Studies, Aligarh 202122, Dr. A. P. J. Abdul Kalam Technical University, Lucknow 226010, India. hasnain@stat.qau.edu.pk., Rehman MZ; Department of Finance, College of Business Administration, King Saud University, P.O. Box 71115, Riyadh, 11587, Saudi Arabia., Salar SAA; Al-Barkaat Institute of Management Studies, Aligarh 202122, Dr. A. P. J. Abdul Kalam Technical University, Lucknow 226010, India.

Izvor: BMC public health [BMC Public Health] 2025 Jan 04; Vol. 25 (1), pp. 34. Date of Electronic Publication: 2025 Jan 04.

Vrsta izdanja: Journal Article; Research Support, Non-U.S. Gov't

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

MeSH pojmovi: Cardiovascular Diseases*/mortality , Neural Networks, Computer* , Forecasting*, Pakistan/epidemiology ; Humans ; Male ; Female

Effects of missing data imputation methods on univariate blood pressure time series data analysis and forecasting with ARIMA and LSTM.

Autori: Niako N; School of Mathematical & Statistical Sciences, University of Texas Rio Grande Valley, One West University Boulevard, Brownsville, TX, 78520, USA., Melgarejo JD; Rio Grande Valley Alzheimer's Disease Resource Center for Minority Aging Research (RGV AD-RCMAR), The University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA.; Institute for Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX, USA.; Institute of Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, South Texas Alzheimer's Disease Center, University of Texas Rio Grande Valley, Harlingen, TX, USA., Maestre GE; Rio Grande Valley Alzheimer's Disease Resource Center for Minority Aging Research (RGV AD-RCMAR), The University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA.; Institute for Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, University of Texas Rio Grande Valley, Harlingen, TX, USA.; Department of Human Genetics, School of Medicine, University of Texas Rio Grande Valley, Brownsville, TX, USA.; Institute of Neuroscience, Neuro and Behavioral Health Integrated Service Unit, School of Medicine, South Texas Alzheimer's Disease Center, University of Texas Rio Grande Valley, Harlingen, TX, USA., Vatcheva KP; School of Mathematical & Statistical Sciences, University of Texas Rio Grande Valley, One West University Boulevard, Brownsville, TX, 78520, USA. Kristina.Vatcheva@utrgv.edu.; Rio Grande Valley Alzheimer's Disease Resource Center for Minority Aging Research (RGV AD-RCMAR), The University of Texas Rio Grande Valley School of Medicine, Harlingen, TX, USA. Kristina.Vatcheva@utrgv.edu.

Izvor: BMC medical research methodology [BMC Med Res Methodol] 2024 Dec 26; Vol. 24 (1), pp. 320. Date of Electronic Publication: 2024 Dec 26.

Vrsta izdanja: Journal Article

Informacije o žurnalu: 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

MeSH pojmovi: Forecasting*/methods , Blood Pressure*/physiology , Algorithms*, Humans ; Neural Networks, Computer ; Models, Statistical

Evaluating the effectiveness of self-attention mechanism in tuberculosis time series forecasting.

Autori: Lv Z; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Sun R; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Liu X; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Wang S; Changsha University of Science and Technology, Changsha, Hunan, 410114, China., Guo X; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Lv Y; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China., Yao M; Hunan Provincial Center for Disease Control and Prevention, Changsha, Hunan, 410005, China. yaomin1984@126.com., Zhou J; Key Laboratory of Molecular Epidemiology of Hunan Province, School of Medicine, Hunan Normal University, Changsha, Hunan, 410013, China. zhoujunhua@hunnu.edu.cn.

Izvor: BMC infectious diseases [BMC Infect Dis] 2024 Dec 03; Vol. 24 (1), pp. 1377. Date of Electronic Publication: 2024 Dec 03.

Vrsta izdanja: Journal Article

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 100968551 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2334 (Electronic) Linking ISSN: 14712334 NLM ISO Abbreviation: BMC Infect Dis Subsets: MEDLINE

MeSH pojmovi: Tuberculosis*/epidemiology , Forecasting*, Humans ; China/epidemiology ; Models, Statistical

Does Financial Statement Line-Item Comparability Affect Analysts' Forecasts?

Autori: Henry, Elaine¹ (AUTHOR) ehenry1@stevens.edu, Liu, Fang-Chun² (AUTHOR), Yang, Steve¹ (AUTHOR), Zhu, Xiaodi³ (AUTHOR)

Izvor: Journal of Accounting, Auditing & Finance. Apr2025, Vol. 40 Issue 2, p337-369. 33p.

Tematski pojmovi: *FINANCIAL statements, *BUSINESS forecasting, *ECONOMIC indicators, *FORECASTING, *BUSINESS enterprises, *EARNINGS forecasting

Revolutionize cold chain: an AI/ML driven approach to overcome capacity shortages.

Autori: Jackson, Ilya¹ (AUTHOR) ilyajack@mit.edu, Namdar, Jafar² (AUTHOR), Saénz, Maria Jesús¹ (AUTHOR), Elmquist III, Richard Augustus¹ (AUTHOR), Dávila Novoa, Luis Rodrigo¹ (AUTHOR)

Izvor: International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2190-2212. 23p.

Tematski pojmovi: *BOX-Jenkins forecasting, *FORECASTING methodology, *ARTIFICIAL intelligence, MACHINE learning, DEMAND forecasting

Development of Bayesian segmented Poisson regression model to forecast COVID-19 dynamics based on wastewater data: a case study in Nanning City, China.

Autori: Xu B; Department of Infectious Diseases, Nanning Center for Disease Control and Prevention, Nanning, 530023, China., Shi X; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China., Liang C; Department of Infectious Diseases, Nanning Center for Disease Control and Prevention, Nanning, 530023, China., Shi C; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China., Peng C; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China., Lai Y; Department of Medical Statistics, School of Public Health, Sun Yat-sen University, No.74 Zhongshan 2nd Road, Guangzhou, 510080, China. laiys3@mail.sysu.edu.cn.; Sun Yat-sen Global Health Institute, Institute of State Governance, Sun Yat-sen University, Guangzhou, 510080, China. laiys3@mail.sysu.edu.cn.; Health Information Research Center, Guangdong Key Laboratory of Medicine, School of Public Health, Sun Yat-sen University, Guangzhou, 510080, China. laiys3@mail.sysu.edu.cn.; Guangzhou Joint Research Center for Disease Surveillance, Early Warning and Risk Assessment, Guangzhou, 510080, China. laiys3@mail.sysu.edu.cn.

Izvor: BMC public health [BMC Public Health] 2025 Jan 09; Vol. 25 (1), pp. 118. Date of Electronic Publication: 2025 Jan 09.

Vrsta izdanja: Journal Article; Research Support, Non-U.S. Gov't

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

MeSH pojmovi: COVID-19*/epidemiology , COVID-19*/prevention & control , Bayes Theorem* , Wastewater*/virology , Forecasting*, Humans ; China/epidemiology ; Poisson Distribution ; SARS-CoV-2 ; Viral Load ; Pandemics

Age-period-cohort analysis of gallbladder and biliary diseases epidemiological trends from 1990 to 2021 and forecasts for 2035: a systematic analysis from the global burden of disease study 2021.

Autori: He M; Department of Gastroenterology, The First Affiliated Hospital of Shihezi University, No.107 North Second Road, Hongshan Street, Shihezi, 832008, China., Gu R; Department of Gastroenterology, The First Affiliated Hospital of Shihezi University, No.107 North Second Road, Hongshan Street, Shihezi, 832008, China., Huang X; School of Medicine, Shihezi University, No.107 North Second Road, Hongshan Street, Shihezi, 832000, China., Zhao A; School of Medicine, Shihezi University, No.107 North Second Road, Hongshan Street, Shihezi, 832000, China., Liu F; Department of Gastroenterology, The First Affiliated Hospital of Shihezi University, No.107 North Second Road, Hongshan Street, Shihezi, 832008, China. 18009935806@163.com., Zheng Y; Department of Gastroenterology, The First Affiliated Hospital of Shihezi University, No.107 North Second Road, Hongshan Street, Shihezi, 832008, China. zy2850@126.com.

Izvor: BMC gastroenterology [BMC Gastroenterol] 2025 Jan 08; Vol. 25 (1), pp. 7. Date of Electronic Publication: 2025 Jan 08.

Vrsta izdanja: Journal Article

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 100968547 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-230X (Electronic) Linking ISSN: 1471230X NLM ISO Abbreviation: BMC Gastroenterol Subsets: MEDLINE

MeSH pojmovi: Global Burden of Disease*/trends , Gallbladder Diseases*/epidemiology , Biliary Tract Diseases*/epidemiology , Biliary Tract Diseases*/mortality , Forecasting*, Humans ; Male ; Female ; Aged ; Middle Aged ; Incidence ; Adult ; Cohort Studies ; Aged, 80 and over ; Disability-Adjusted Life Years/trends ; Young Adult ; Global Health/statistics & numerical data ; Adolescent ; Age Distribution ; Age Factors ; Mortality/trends

Energy consumption forecasting for oil and coal in China based on hybrid deep learning.

Autori: He J; School of International Business and Management, Sichuan International Studies University, Chongqing, China., Li Y; College of Computer and Information Science, Southwest University, Chongqing, China., Xu X; State Grid Chongqing Electric Power Company, Chongqing, China., Wu D; College of Computer and Information Science, Southwest University, Chongqing, China.

Izvor: PloS one [PLoS One] 2025 Jan 06; Vol. 20 (1), pp. e0313856. Date of Electronic Publication: 2025 Jan 06 (Print Publication: 2025).

Vrsta izdanja: Journal Article

Informacije o žurnalu: 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

MeSH pojmovi: Coal* , Forecasting*/methods , Deep Learning*, China ; Oils ; Petroleum

Forecast of total health expenditure on China's ageing population: a system dynamics model.

Autori: Luo S; Jiangxi University of Finance and Economics, School of Statistics and Data Science, Nanchang, China. luoshihua@aliyun.com., Zhang J; Jiangxi University of Finance and Economics, School of Statistics and Data Science, Nanchang, China. junlai.zhang@uni-heidelberg.de.; Heidelberg University, Faculty of Medicine and University Hospital, Heidelberg Institute of Global Health(HIGH), Heidelberg, Germany. junlai.zhang@uni-heidelberg.de.; Vienna University of Economics and Business(WU), Department of Economics, Vienna, Austria. junlai.zhang@uni-heidelberg.de., Heffernan M; Western Sydney University, School of Computer, Data and Mathematical Sciences, Sydney, Australia.; Dynamic Operations, Sydney, Australia.

Izvor: BMC health services research [BMC Health Serv Res] 2024 Dec 27; Vol. 24 (1), pp. 1655. Date of Electronic Publication: 2024 Dec 27.

Vrsta izdanja: Journal Article

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE

MeSH pojmovi: Health Expenditures*/statistics & numerical data , Health Expenditures*/trends , Forecasting*, China ; Humans ; Gross Domestic Product/statistics & numerical data ; Population Dynamics ; Aged

A novel hybrid PSO-MIDAS model and its application to the U.S. GDP forecast.

Autori: Shen F; School of Finance, Southwestern University of Finance and Economics, Chengdu, PR China.; Engineering Research Center of Intelligent Finance, Southwestern University of Finance and Economics, Chengdu, PR China., Yan X; School of Finance, Southwestern University of Finance and Economics, Chengdu, PR China., Shang Y; Institute of Chinese Financial Studies, Southwestern University of Finance and Economics, Chengdu, PR China.

Izvor: PloS one [PLoS One] 2024 Dec 11; Vol. 19 (12), pp. e0315604. Date of Electronic Publication: 2024 Dec 11 (Print Publication: 2024).

Vrsta izdanja: Journal Article

Informacije o žurnalu: 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

MeSH pojmovi: Algorithms* , Forecasting*/methods, United States ; Gross Domestic Product ; Machine Learning ; Models, Economic ; Humans

Short-term forecasting of solar irradiance using decision tree-based models and non-parametric quantile regression.

Autori: Masache A; Department of Statistics and Operations Research, National University of Science and Technology, Bulawayo, Zimbabwe., Mdlongwa P; Department of Statistics and Operations Research, National University of Science and Technology, Bulawayo, Zimbabwe., Maposa D; Department of Statistics and Operations Research, University of Limpopo, Sovenga, South Africa., Sigauke C; Department of Mathematical and Computational Sciences, University of Venda, Thohoyandou, South Africa.

Izvor: PloS one [PLoS One] 2024 Dec 11; Vol. 19 (12), pp. e0312814. Date of Electronic Publication: 2024 Dec 11 (Print Publication: 2024).

Vrsta izdanja: Journal Article

Informacije o žurnalu: 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

MeSH pojmovi: Decision Trees* , Solar Energy* , Sunlight* , Forecasting*/methods, Regression Analysis

Climate-based modelling and forecasting of dengue in three endemic departments of Peru.

Autori: Mills C; Department of Statistics, University of Oxford, Oxford, United Kingdom.; Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom., Donnelly CA; Department of Statistics, University of Oxford, Oxford, United Kingdom.; Pandemic Sciences Institute, University of Oxford, Oxford, United Kingdom.

Izvor: PLoS neglected tropical diseases [PLoS Negl Trop Dis] 2024 Dec 04; Vol. 18 (12), pp. e0012596. Date of Electronic Publication: 2024 Dec 04 (Print Publication: 2024).

Vrsta izdanja: Journal Article

Informacije o žurnalu: Publisher: Public Library of Science Country of Publication: United States NLM ID: 101291488 Publication Model: eCollection Cited Medium: Internet ISSN: 1935-2735 (Electronic) Linking ISSN: 19352727 NLM ISO Abbreviation: PLoS Negl Trop Dis Subsets: MEDLINE

MeSH pojmovi: Dengue*/epidemiology , Forecasting*/methods , Climate Change*, Peru/epidemiology ; Humans ; Incidence ; Disease Outbreaks ; Climate ; El Nino-Southern Oscillation ; Temperature

Forecasting severe respiratory disease hospitalizations using machine learning algorithms.

Autori: Albrecht S; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. steffen.albrecht@auckland.ac.nz., Broderick D; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Dost K; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Cheung I; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Nghiem N; Australian National University, 131 Garran Rd, Acton, Canberra ACT, 2601, Australia., Wu M; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Zhu J; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Poonawala-Lohani N; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Jamison S; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Rasanathan D; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Huang S; Institute of Environmental Science and Research, 34 Kenepuru Drive, Kenepuru, Porirua, 5022, New Zealand., Trenholme A; Health New Zealand Counties Manukau, Middlemore Hospital, 100 Hospital Road, Auckland, 2025, New Zealand., Stanley A; Health New Zealand Te Toka Tumai Auckland, Auckland City Hospital, 2 Park Road, Auckland, 1023, New Zealand., Lawrence S; Health New Zealand Counties Manukau, Middlemore Hospital, 100 Hospital Road, Auckland, 2025, New Zealand., Marsh S; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Castelino L; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Paynter J; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Turner N; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., McIntyre P; University of Otago, 362 Leith Street, Dunedin, 9016, New Zealand., Riddle P; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand., Grant C; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. cc.grant@auckland.ac.nz., Dobbie G; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. g.dobbie@auckland.ac.nz., Wicker JS; University of Auckland, 20 Symonds Street, Auckland, 1010, New Zealand. j.wicker@auckland.ac.nz.

Izvor: BMC medical informatics and decision making [BMC Med Inform Decis Mak] 2024 Oct 09; Vol. 24 (1), pp. 293. Date of Electronic Publication: 2024 Oct 09.

Vrsta izdanja: Journal Article

Informacije o žurnalu: 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

MeSH pojmovi: Machine Learning* , Forecasting* , Hospitalization*/statistics & numerical data , Respiratory Tract Infections*/epidemiology, Humans ; New Zealand/epidemiology ; Neural Networks, Computer

Optimizing Disease Outbreak Forecast Ensembles.

Autori: Fox SJ, Kim M, Meyers LA, Reich NG, Ray EL

Izvor: Emerging infectious diseases [Emerg Infect Dis] 2024 Sep; Vol. 30 (9), pp. 1967-1969.

Vrsta izdanja: Journal Article

Informacije o žurnalu: Publisher: National Center for Infectious Diseases, Centers for Disease Control and Prevention (CDC) Country of Publication: United States NLM ID: 9508155 Publication Model: Print Cited Medium: Internet ISSN: 1080-6059 (Electronic) Linking ISSN: 10806040 NLM ISO Abbreviation: Emerg Infect Dis Subsets: MEDLINE

MeSH pojmovi: COVID-19*/epidemiology , Forecasting* , Disease Outbreaks* , Influenza, Human*/epidemiology , Influenza, Human*/history , SARS-CoV-2*, Humans ; Models, Statistical ; Epidemiological Models

The strong effect of flexible capacities on achievable WIP levels and throughput times: a simple model and its implications.

Autori: Lödding, Hermann¹ (AUTHOR), Steffens, Constantin¹ (AUTHOR) constantin.steffens@tuhh.de, Winter, Michael¹ (AUTHOR)

Izvor: International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2291-2304. 14p.

Tematski pojmovi: *QUEUING theory, *FORECASTING, EQUATIONS

The Market Inside the Market: Odd-Lot Quotes.

Autori: Bartlett, Robert P¹ (AUTHOR), McCrary, Justin² (AUTHOR), O'Hara, Maureen³ (AUTHOR)

Izvor: Review of Financial Studies. Mar2025, Vol. 38 Issue 3, p661-711. 51p.

Tematski pojmovi: *ODD lot trading, *STOCK price forecasting, *STOCKS (Finance), *BID price, MACHINE learning

Kompanija/Jedinica: UNITED States. Securities & Exchange Commission

Forecasting the future of smart hospitals: findings from a real-time delphi study.

Autori: Jovy-Klein F; RWTH Aachen University, Institute for Technology and Innovation Management, Kackerstr. 7, Aachen, 52072, Germany. jovy-klein@time.rwth-aachen.de., Stead S; RWTH Aachen University, Institute for Technology and Innovation Management, Kackerstr. 7, Aachen, 52072, Germany., Salge TO; RWTH Aachen University, Institute for Technology and Innovation Management, Kackerstr. 7, Aachen, 52072, Germany., Sander J; University Medicine Essen, Digital Transformation Unit, Hufelandstraße 55, Essen, 45147, Germany., Diehl A; University Medicine Essen, Digital Transformation Unit, Hufelandstraße 55, Essen, 45147, Germany., Antons D; Institute for Entrepreneurship, University of Bonn, Meckenheimer Allee 174, 53115, Bonn, Germany.

Izvor: BMC health services research [BMC Health Serv Res] 2024 Nov 18; Vol. 24 (1), pp. 1421. Date of Electronic Publication: 2024 Nov 18.

Vrsta izdanja: Journal Article

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 101088677 Publication Model: Electronic Cited Medium: Internet ISSN: 1472-6963 (Electronic) Linking ISSN: 14726963 NLM ISO Abbreviation: BMC Health Serv Res Subsets: MEDLINE

MeSH pojmovi: Delphi Technique* , Forecasting* , Artificial Intelligence*, Humans ; Hospitals ; Digital Technology

Spatial and temporal analysis and forecasting of TB reported incidence in western China.

Autori: Zhao D; Department of Medical Administration, Sichuan Provincial Orthopedics Hospital, Chengdu, Sichuan, P.R. China. cdzhaodaren@163.com., Zhang H; Department of Medical Administration, Sichuan Provincial Orthopedics Hospital, Chengdu, Sichuan, P.R. China. cdzhanghuiwu@163.com.; School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, P.R. China. cdzhanghuiwu@163.com., Wu X; School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, P.R. China., Zhang L; School of Management, Chengdu University of Traditional Chinese Medicine, Chengdu, Sichuan, P.R. China., Li S; Department of Endemic Diseases, Chongzhou Centre for Disease Control and Prevention, Chengdu, Sichuan, P.R. China., He S; Department of Information and Statistics, The Affiliated Hospital of Southwest Medical University, Luzhou, Sichuan, 64600, P.R. China.

Izvor: BMC public health [BMC Public Health] 2024 Sep 13; Vol. 24 (1), pp. 2504. Date of Electronic Publication: 2024 Sep 13.

Vrsta izdanja: Journal Article; Research Support, Non-U.S. Gov't

Informacije o žurnalu: Publisher: BioMed Central Country of Publication: England NLM ID: 100968562 Publication Model: Electronic Cited Medium: Internet ISSN: 1471-2458 (Electronic) Linking ISSN: 14712458 NLM ISO Abbreviation: BMC Public Health Subsets: MEDLINE

MeSH pojmovi: Tuberculosis*/epidemiology , Forecasting* , Spatio-Temporal Analysis*, Humans ; China/epidemiology ; Incidence ; Seasons

WHERE TO INVEST NOW. (cover story)

Autori: SMITH, ANNE KATES (AUTHOR) Anne.Smith@futurenet.com

Izvor: Kiplinger Personal Finance. Jul2024, Vol. 78 Issue 7, p16-24. 8p. 2 Color Photographs, 2 Graphs.

Tematski pojmovi: *STOCK repurchasing, *ECONOMIC forecasting, *EARNINGS forecasting, *EXCHANGE traded funds, *BUSINESS cycles, *INTEREST rates, *BONDS (Finance)