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Journal articles on the topic 'Demographic features'

Author: Grafiati

Published: 3 June 2025

Last updated: 31 July 2025

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1

Rinku, Chavda, Pandya Sohil, and Kotwal Chetan. "Influence of Demographic-Household Features on Electricity Consumption to generate Consumption Patterns and Profiles." Indian Journal of Science and Technology 16, no. 35 (2023): 2879–88. https://doi.org/10.17485/IJST/v16i35.685.

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Abstract <strong>Objectives:</strong> Total electricity consumed by Residential Households contributes remarkably in the domain of Electricity Consumption Patterns and Profiles. Discovering the correlation between electricity consumption with housing and demographic characteristics of households will be helpful to identify the influence of various features to generate consumer electricity consumption patterns and identification of load profiles.<strong> Methods:</strong> Using the SOMKMeans Clustering Algorithm, Pearson’s, Spearman’s Rank, and Kendall’s tau Cor

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2

Croake, James W., Kathleen M. Myers, and Abe Singh. "Demographic Features of Adult Fears." International Journal of Social Psychiatry 33, no. 4 (1987): 285–93. http://dx.doi.org/10.1177/002076408703300405.

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Lipowska, Anna Maria, and Robert T. Kavitt. "Demographic Features of Eosinophilic Esophagitis." Gastrointestinal Endoscopy Clinics of North America 28, no. 1 (2018): 27–33. http://dx.doi.org/10.1016/j.giec.2017.07.002.

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Shom, Subhaditya, Kevin James, and Mahmoud Alahmad. "Understanding the Correlation of Demographic Features with BEV Uptake at the Local Level in the United States." Sustainability 14, no. 9 (2022): 5016. http://dx.doi.org/10.3390/su14095016.

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Battery Electric Vehicles (BEVs) have seen a substantial growth in the recent past, and this trend is expected to continue. This growth has been far from uniform geographically, with large differences in BEV uptake between countries, states, and cities. This non-uniform growth can be attributed to the demographic and non-demographic factors that characterize a geographical location. In this paper, the demographic factors that affect BEV uptake at the Zone Improvement Plan (ZIP) code level are studied extensively across several states in the United States to understand BEV readiness at its most

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Ulucaköy, Coskun, Aliekber Yapar, Mustafa Cem Şeyhoğlu, Mehmet Ali Tokgöz, İsmail Burak Atalay, and Bedii Şafak Güngör. "Demographic Features of Metastatic Bone Tumors." Acta Oncologica Turcica 54, no. 1 (2021): 98–102. http://dx.doi.org/10.5505/aot.2021.99705.

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6

Gross-Tsur, Varda, Orly Manor, and Ruth S. Shalev. "DEVELOPMENTAL DYSCALCULIA: PREVALENCE AND DEMOGRAPHIC FEATURES." Developmental Medicine & Child Neurology 38, no. 1 (2008): 25–33. http://dx.doi.org/10.1111/j.1469-8749.1996.tb15029.x.

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Pomian, Andrzej, Wojciech Majkusiak, Jacek Kociszewski, et al. "Demographic features of female urethra length." Neurourology and Urodynamics 37, no. 5 (2018): 1751–56. http://dx.doi.org/10.1002/nau.23509.

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Cohausz, Lea, Andrej Tschalzev, Christian Bartelt, and Heiner Stuckenschmidt. "Investigating Demographic Features and their Connection to Performance, Predictions, and Fairness in EDM Models." Journal of Educational Data Mining 16, no. 2 (2024): 177–213. https://doi.org/10.5281/zenodo.14503515.

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Although using demographic features for predictive models in Educational Data Mining (EDM) has to be considered very problematic from a fairness point of view and is currently critically discussed in the field, they are, in practice, frequently used without much deliberate thought. Their use and the discussion around their use mostly rely on the belief that they help achieve high model performance. In this paper, we theoretically and empirically assess the mechanisms that make them relevant for prediction and what this means for notions of fairness. Using four datasets for at-risk prediction,

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Buianovska, L. Y., V. V. Yavorska, and V. V. Bezugly. "DEMOGRAPHIC POTENTIAL OF ODESA REGION: REGIONAL FEATURES." Odesa National University Herald. Geography and Geology 28, no. 2(43) (2023): 25–36. http://dx.doi.org/10.18524/2303-9914.2023.2(43).292731.

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Problem Statement and Purpose. The article highlights the issue of the demographic situation and demographic potential of the Odesa region as a leading component of its development and the development of relevant regional strategies and programs. Regional features have been established and an intra-regional analysis of the demographic potential in the conditions of administrative-territorial reform has been carried out. The prerequisites of geodemographic processes in the region were clarified and their assessment was carried out taking into account the geographical basis and subregional speci

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Martini, Michael L., Sean N. Neifert, Eric K. Oermann, et al. "Machine Learning With Feature Domains Elucidates Candidate Drivers of Hospital Readmission Following Spine Surgery in a Large Single-Center Patient Cohort." Neurosurgery 87, no. 4 (2020): E500—E510. http://dx.doi.org/10.1093/neuros/nyaa136.

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Abstract BACKGROUND Unplanned hospital readmissions constitute a significant cost burden in healthcare. Identifying factors contributing to readmission risk presents opportunities for actionable change to reduce readmission rates. OBJECTIVE To combine machine learning classification and feature importance analysis to identify drivers of readmission in a large cohort of spine patients. METHODS Cases involving surgical procedures for degenerative spine conditions between 2008 and 2016 were retrospectively reviewed. Of 11 150 cases, 396 patients (3.6%) experienced an unplanned hospital readmissio

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Arakeri V., Dr Shanta, and Dharmaraj Hazarika. "An Analysis of Demographic Features in India." Journal of Applied Management and Advanced Research 02, no. 01 (2020): 1–11. http://dx.doi.org/10.34047/jamar.2020.v02i01.001.

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Karabulut,, Hacı Halil, Yasemin Yuyucu Karabulut, Engin Şenel, Yasemin Dölek, Asım Uslu, and Nazmiye Kurşun. "Histopathologic and Demographic Features of Eyelid Tumours." Turkish Journal of Dermatology / Türk Dermatoloji Dergisi 8, no. 4 (2014): 197–201. http://dx.doi.org/10.4274/tdd.2172.

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Ahammad, Julhash Uddin, Md Habibur Rahman, Md Azizul Islam, M. Sajjadur Rahman, and MG Rabbani. "Demographic Features and Common Presentations of Schizophrenia." Journal of Armed Forces Medical College, Bangladesh 5, no. 1 (2009): 29–33. http://dx.doi.org/10.3329/jafmc.v5i1.2848.

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Fifty cases of schizophrenia were assessed in Combined Military Hospital (CMH), Dhaka and National Institute of Mental Health (NIMH), Sher-e-Bangla Nagar, to ascertain the pattern of demographic features and symptom presentation in current national perspective. The study includes period from July 2004 to September 2005. Most of the patients belonged to the age ranging from 14 to 45 years throughout whole Bangladesh. It was found that 54% of the patients were male and 46% were female. The lowest age of onset was 14 year for both sexes and the highest age of onset was 45 year in female and 41 ye

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Devedzic, Mirjana. "Demographic features of old people in Belgrade." Glasnik Srpskog geografskog drustva 87, no. 2 (2007): 93–102. http://dx.doi.org/10.2298/gsgd0702093d.

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The process of demographic ageing is one of the most apparent features of the demographic development of Serbia. The increase of the percentage of aged population is also present in Belgrade, although Belgrade itself, being the center of immigration and the major urban agglomeration, has a specific population development. This paper analyzes the dynamics and demographic features of the citizens of Belgrade older than 60, in the period between 1981 and 2000. It discusses the changes in gender and age distribution of this population group, as well as the processes of ageing and feminization of t

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Tamçelik, Nevbahar, Olgu Çapar, Ahmet Ozkok, Eray Atalay, and Selim Bolukbasi. "Demographic features of subjects with congenital glaucoma." Indian Journal of Ophthalmology 62, no. 5 (2014): 565. http://dx.doi.org/10.4103/0301-4738.126988.

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Ishigooka, Jun, Mitsuhiro Iwao, Makihiko Suzuki, Yoshitsuna Fukuyama, Mitsukuni Murasaki, and Sadanori Miura. "Demographic features of patients seeking cosmetic surgery." Psychiatry and Clinical Neurosciences 52, no. 3 (1998): 283–87. http://dx.doi.org/10.1046/j.1440-1819.1998.00388.x.

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Nathan, Pamela, and Tony Ward. "Female sex offenders: Clinical and demographic features." Journal of Sexual Aggression 8, no. 1 (2002): 5–21. http://dx.doi.org/10.1080/13552600208413329.

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Marcin Sierra, Mariana, Mariana Arroyo, May Cadena Torres, et al. "Extraparenchymal neurocysticercosis: Demographic, clinicoradiological, and inflammatory features." PLOS Neglected Tropical Diseases 11, no. 6 (2017): e0005646. http://dx.doi.org/10.1371/journal.pntd.0005646.

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19

Zhminko, N. S., T. D. Gayvoronskaya, and K. A. Bereznyak. "REGIONAL FEATURES OF THE SOCIO-DEMOGRAPHIC SITUATION." Вестник Алтайской академии экономики и права 3, no. 11 2022 (2022): 446–51. http://dx.doi.org/10.17513/vaael.2588.

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20

Ribeiro, Rafael Oliveira. "Uncovering demographic information on deep-face features." Journal of Engineering Research 3, no. 16 (2023): 2–10. http://dx.doi.org/10.22533/at.ed.3173162311059.

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21

Shokamanov, Yu K., U. M. Iskakov, and A. A. Demesinova. "Features of demographic transition in Kazakhstan regions." Central Asian Economic Review, no. 1 (June 8, 2024): 64–79. http://dx.doi.org/10.52821/2789-4401-2024-1-64-79.

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22

Kingsley, Okechukwu Opara, and Onyekachi Uzoho Anthony. "Demographic features of patients seeking cosmetic surgery in southern Nigeria." World Journal of Advanced Research and Reviews 18, no. 3 (2023): 285–90. https://doi.org/10.5281/zenodo.8430495.

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<strong>Background and objectives</strong>: The numbers of patients undergoing cosmetic surgery is increasing worldwide, Nigeria inclusive. Whereas several reports abound describing the demographic characteristics of cosmetic surgery recipients in other regions of the world, there are no such reports in Nigeria. The objective of this study is to demonstrate the demographic characteristics of patients undergoing cosmetic surgery in Southern Nigeria. <strong>Methods</strong>: This retrospective study reviewed the case records of all patients who had cosmetic procedures at a privately owned aesth

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23

Shapovalova, Marina, Yuri Boyko, and Khyadi Ugurchieva. "Features of pathology of mothers." Vestnik of Saint Petersburg University. Medicine 17, no. 2 (2022): 141–49. http://dx.doi.org/10.21638/spbu11.2022.207.

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Within the framework of the “Concept of Demographic Policy of the Russian Federation for the Period until 2025”, the state introduced a number of measures designed to influence the birth rate towards its increase: monthly childcare allowance for non-working women, an increase in maternity allowance and monthly childcare allowance for working women, the introduction of a birth certificate and tax benefits, preferential mortgage programs, an increase in the duration of sick leave for childcare, etc. Assessing the measures of state support for motherhood and childhood, measures aimed at increasin

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24

Batychenko, Svitlana, and Liudmyla Melnyk. "MODERN FEATURES OF THE DEMOGRAPHIC SITUATION IN UKRAINE." GEOGRAPHY AND TOURISM, no. 65 (2021): 50–56. http://dx.doi.org/10.17721/2308-135x.2021.65.50-56.

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Goal. Analysis of the dynamics of demographic indicators in the regions of Ukraine. Method. The study is based on general scientific methods, namely, analysis and synthesis, descriptive, analytical. And also socio-geographical - comparative-geographical. Results. The dynamics and regional features of births, deaths, natural increase / decrease in population, life expectancy at birth, migration growth / decrease in population for the period 2001-2020 in Ukraine are analyzed. The main causes of population mortality in 2020 are revealed. The dynamics of indicators that characterize marital and fa

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25

Ardelia, Nesia, and Farah Margaretha Leon. "Faktor–faktor yang mempengaruhi konsumen dalam menggunakan dan berhutang dengan kartu kredit di Jabodetabek." Jurnal Akuntansi, Keuangan, dan Manajemen 2, no. 2 (2021): 83–101. http://dx.doi.org/10.35912/jakman.v2i2.136.

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Purpose: This study discussed the factors that influence the use and debt of credit cardholders in Jakarta and surrounding areas (Jakarta, Bogor, Depok, Tangerang, Bekasi) Research methodology: The dependent variable used in this study is the use of credit cards and debts on credit cards. This study's independent variables were demographic factors, credit card feature factors, and attitude towards money factors. The sample of this study was 333 respondents using the purposive sampling technique. The data analysis model used is Ordinary Least Square (OLS). Results: The results showed that there

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Al-Mujaini, Abdullah, Rajendra Prakash Maurya, Sanjay Bosak, et al. "Clinicopathological Analysis and Demographic Features of Ocular Malignancies." Clinical Ophthalmology Volume 15 (January 2021): 357–65. http://dx.doi.org/10.2147/opth.s287087.

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27

Joshi, SureshG, GeetanjaliM Litake, MeenakshiG Satpute, NilimaV Telang, VikramS Ghole, and KrishnaB Niphadkar. "Clinical and demographic features of infection caused byAcinetobacterspecies." Indian Journal of Medical Sciences 60, no. 9 (2006): 351. http://dx.doi.org/10.4103/0019-5359.27219.

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Dilsiz, Ahmet, Ferhan Dilsiz, and Nurdan Ökten. "Suicidal Behavior I: Demographic Features And Risk Factors." Journal of Tepecik Education and Research Hospital 2, no. 3 (1992): 297–302. http://dx.doi.org/10.5222/terh.1992.56751.

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Arevalo, Sabrina, Andrew Tubbs, Fabian-Xosé Fernandez, et al. "0656 Demographic and Clinical Features of Nocturnal Suicide." Sleep 45, Supplement_1 (2022): A288—A289. http://dx.doi.org/10.1093/sleep/zsac079.653.

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Abstract Introduction The risk for suicide is greatest at night after adjusting for population wakefulness, possibly due to sleep- and circadian-dependent changes in neurophysiology to promote sleep. Those who die by suicide at night, however, may differ by demographic and/or clinical characteristics from those who die by suicide during the day. Methods An archival analysis of the National Violent Death Reporting System for 2003-2017 identified 77,784 suicide deaths with time of fatal injury. Cases were divided into daytime (5AM to 10:59PM) or nighttime (11PM to 4:59AM) and characterized by ag

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Samarina, V. P., and A. V. Samarin. "DEMOGRAPHIC FEATURES OF THE NORTHERN REGIONS OF RUSSIA." Фундаментальные исследования (Fundamental research), no. 3 2020 (2020): 90–95. http://dx.doi.org/10.17513/fr.42705.

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Ahmed, Dr Polly, Dr T. A. Chowdhury, and Dr Kaniz Mahmud. "Demographic and Clinical Features of Patients with Subfertility." Scholars International Journal of Obstetrics and Gynecology 4, no. 3 (2021): 76–81. http://dx.doi.org/10.36348/sijog.2021.v04i03.007.

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ŞİŞMAN, Pınar, Buket BİÇER, Hikmet ÖZTOP, et al. "Demographic and Clinical Features of Medullary Thyroid Carcinoma." Turkish Journal of Endocrinology and Metabolism 24, no. 4 (2020): 253–60. http://dx.doi.org/10.25179/tjem.2019-66818.

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Kavak, A., N. Yeildal, AH Parlak, et al. "Alopecia areata in Turkey: demographic and clinical features." Journal of the European Academy of Dermatology and Venereology 22, no. 8 (2008): 977–81. http://dx.doi.org/10.1111/j.1468-3083.2008.02699.x.

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Ming, Guo. "Demographic Features of People with Disabilities in China." Disability, Handicap & Society 8, no. 2 (1993): 211–14. http://dx.doi.org/10.1080/02674649366780171.

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35

Perumal, Uma. "Tourism recommendation system using spatial and demographic features." Journal of Engineering and Applied Sciences 11, no. 2 (2024): 84. https://doi.org/10.5455/jeas.2024021108.

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Tourism Recommendation System (TRS) systems address the needs of the tourist by examining a few factors. In order to make a foolproof recommendation, a variety of factors need to be taken into consideration, including environmental factors, exact geocoordinates, trip destination, preferences of tourists, etc. Various Artificial (AI) techniques have been developed, draw backs of these techniques are spatiotemporal characteristics, user privacy and data secrecy were not concentrated, traffic information, etc., Recently, importance has been given to the development of tourism infrastructure. Exis

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Соколова, М. В., and Д. И. Петросян. "Features of the demographic development of European countries." Экономика и предпринимательство, no. 7(120) (July 9, 2020): 234–37. http://dx.doi.org/10.34925/eip.2020.120.7.044.

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Предметом исследования являются особенности демографических процессов в странах Европы. Европейские государства демонстрируют достаточно высокий уровень жизни. Этот фактор способствует ежегодному миграционному приросту населения. Не смотря на существующую разницу демографических показателей для всех стран Европы характерна тенденция по сокращению рождаемости, увеличению среднего возраста жителей, увеличению средней продолжительности жизни. Социально-экономические и демографические трансформации приводят к изменению института брака и семьи. The subject of the study is the characteristics of dem

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ФАДЕЕВА, С. А., and О. А. БУРОБИНА. "FEATURES OF DEMOGRAPHIC DEVELOPMENT OF THE VLADIMIR REGION." Экономика и предпринимательство, no. 1(150) (May 27, 2023): 544–47. http://dx.doi.org/10.34925/eip.2023.150.1.109.

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В статье анализируется современная демографическая обстановка на территории Владимирской области и пути ее развития. На уровне области исследована динамика основных воспроизводственных процессов и миграционных потоков. По результатам исследования рассмотрены меры по улучшению демографической ситуации в регионе. The article analyzes the current demographic situation on the territory of the Vladimir region and the ways of its development. The dynamics of the main reproductive processes and migration flows are studied at the regional level. Based on the results of the study, measures to improve t

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Serretti, Alessandro, Laura Mandelli, Enrico Lattuada, Cristina Cusin, and Enrico Smeraldi. "Clinical and demographic features of mood disorder subtypes." Psychiatry Research 112, no. 3 (2002): 195–210. http://dx.doi.org/10.1016/s0165-1781(02)00227-5.

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Serretti, Alessandro, Laura Mandelli, Enrico Lattuada, and Enrico Smeraldi. "Rapid cycling mood disorder: Clinical and demographic features." Comprehensive Psychiatry 43, no. 5 (2002): 336–43. http://dx.doi.org/10.1053/comp.2002.34630.

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Brunklaus, A., R. Birch, E. Reavey, J. Duncan, G. Forbes, and S. M. Zuberi. "1FC1.4 Dravet Syndrome – Demographic, Clinical and Prognostic Features." European Journal of Paediatric Neurology 15 (May 2011): S11. http://dx.doi.org/10.1016/s1090-3798(11)70044-7.

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Bekhouche, SE, A. Ouafi, F. Dornaika, A. Taleb-Ahmed, and A. Hadid. "Pyramid multi-level features for facial demographic estimation." Expert Systems with Applications 80 (September 2017): 297–310. http://dx.doi.org/10.1016/j.eswa.2017.03.030.

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Kocabaş, Umut, and Filiz Özerkan Çakan. "Demographic and Clinical Features of Elderly Hypertensive Patients." American Journal of Cardiology 121, no. 8 (2018): e100. http://dx.doi.org/10.1016/j.amjcard.2018.03.232.

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Wyne, Kathleen L. "Metabolic syndrome: Demographic features, etiology, and clinical management." Current Atherosclerosis Reports 7, no. 5 (2005): 381–88. http://dx.doi.org/10.1007/s11883-005-0051-z.

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Kang, Sue J., and Duk L. Na. "P3-103: Demographic features of frontotemporal lobar degeneration." Alzheimer's & Dementia 2 (July 2006): S403—S404. http://dx.doi.org/10.1016/j.jalz.2006.05.1371.

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Zahid, Idrees, Samir Hussein, and Shakir Mahdi. "Measuring Individuals Cybersecurity Awareness Based on Demographic Features." Iraqi Journal for Electrical and Electronic Engineering 20, no. 1 (2023): 58–67. http://dx.doi.org/10.37917/ijeee.20.1.6.

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Cybersecurity awareness has a huge impact on individuals and an even bigger impact on firms, universities, and institutes to those individuals belong. Consequently, it is essential to explore and asses the factors affecting the awareness level of cybersecurity. More specifically this research study examines the impact of demographic features of individuals on cybersecurity awareness. The Studied literature’s limitations have been addressed and overcome in our research from the variability, and ambiguity aspects. A questionnaire was developed and responses were collected from 613 participants.

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Hamza, Naveed, Faraz Lubna, and Bano Maliha. "Endoscopic and Demographic features in H.Pylori positive Patients." Asian Journal of Multidisciplinary Studies 8, no. 10 (2020): 33–36. https://doi.org/10.5281/zenodo.4445632.

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Abstract: Objective: The main aim of this study was to analyze the endoscopic and demographic features in H.Pylori patients. Place and Duration of study: This study was carried out in a duration of 10 months from February 2019 to November 2019 in medical department of Mayo hospital Lahore.  Study type: It is a cross sectional type of study.  Sampling technique: Non probability sampling technique.  Material and Methods: A total of 100 patients were selected for this study. Both males and females were selected randomly. Patients with past history of aRa-H pylori treatment were exc

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Barylo, I., T. Pogrebskyi, and E. Telebeneva. "The features of the current demographic processes in the regions of Ukraine." Ekonomichna ta Sotsialna Geografiya 69 (2014): 94–102. http://dx.doi.org/10.17721/2413-7154/2014.69.94-102.

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Lebedeva, T. V., A. R. Akramova, and A. K. Shebanova. "PROFESSION - DEMOGRAPHER. RESULTS OF THE VII INTERNATIONAL WINTER DEMOGRAPHIC SCHOOL AT LOMONOSOV MOSCOW STATE UNIVERSITY." Living Standards of the Population in the Regions of Russia 21, no. 2 (2025): 330–38. https://doi.org/10.52180/1999-9836_2025_21_2_13_330_338.

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The current complex demographic situation in the Russian Federation requires the use of non-standard modern measures to improve it and adjust the management decisions used. Given the complexity and multifaceted nature of demographic problems, the interdisciplinary nature of demographic research, the requirements for training researchers in the field of demography are increasing. However, training of demographers in our country is currently carried out only in three universities. Therefore, the features of the formation of a modern educational space for training demographers were discussed at t

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Ak, Çiğdem, Alex D. Chitsazan, Mehmet Gönen, Ruth Etzioni, and Aaron J. Grossberg. "Spatial Prediction of COVID-19 Pandemic Dynamics in the United States." ISPRS International Journal of Geo-Information 11, no. 9 (2022): 470. http://dx.doi.org/10.3390/ijgi11090470.

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The impact of COVID-19 across the United States (US) has been heterogeneous, with rapid spread and greater mortality in some areas compared with others. We used geographically-linked data to test the hypothesis that the risk for COVID-19 was defined by location and sought to define which demographic features were most closely associated with elevated COVID-19 spread and mortality. We leveraged geographically-restricted social, economic, political, and demographic information from US counties to develop a computational framework using structured Gaussian process to predict county-level case and

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K, Udaya. "A Hospital-based Study on Demographic Features of Children with Severe Acute Malnutrition." Pediatric Education and Research 8, no. 1 (2020): 9–11. http://dx.doi.org/10.21088/per.2321.1644.8120.1.

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