Results 101 to 110 of about 1,371,280 (312)

Socio-demographic variables (n = 361).

, 2021
Socio-demographic variables (n = 361).
Narayan Tripathi (8982155), Chiranjivi Adhikari (8792453), Bijaya Parajuli (11888549)   +2 more
core   +1 more source

Brainstem and Cerebellar Volume Loss and Associated Clinical Features in Progressive Supranuclear Palsy

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Introduction Progressive Supranuclear Palsy (PSP) is a neurodegenerative ‘tauopathy’ with predominating pathology in the basal ganglia and midbrain. Caudal tau spread frequently implicates the cerebellum; however, the pattern of atrophy remains equivocal.
Chloe Spiegel, Timothy P. Siejka, Cassandra Marotta, Josh J. Y. Lee, Kelly Bertram, Terence J. O'Brien, Meng Law, Lucy Vivash, Ian H. Harding   +8 more
wiley   +1 more source

A 10 Year Survey of Cancer in Patients Who Referred to Shahid Rajai Radiotherapy Center in North of Iran (2000-2009)

Majallah-i Dānishgāh-i ̒Ulūm-i Pizishkī-i Bābul, 2012
BACKGROUND AND OBJECTIVE: Cancer is the third main cause of death in Iran after coronary heart disease and accidents. Age pattern of the cancer incidence and its distribution is related to regional conditions, nutritional habits, and environmental ...
M Tayebi,, A Shabestani Monfared, D Moslemi   +2 more
doaj  

Demographic and clinical variables among mood disorders inpatients: a preliminary report

Psychiatry and Clinical Psychopharmacology, 2021
Objective: There is limited data to demonstrate the clinical characteristics and variables of psychiatric inpatients in our country.The aim of this preliminary study is to investigate sociodemograph›c and cl›n›cal var›ables of inpatients, who were ...
Bülent Kadri Gültekin, Azad Günderci, Murat Volkan Balcı, Filiz Kökcü, Can Gedikbaş, Mehmet Erkan Ozcan   +5 more
doaj  

A Regular Demand System with Commodity-Specific Demographic Effects [PDF]

Regular consumer demand systems almost invariably employ specifications that involve common functional forms in all equations. When applications involve crosssectional data it is often the case that demographic effects are important.
Cooper, Russell, Ham, Roger, McLaren, Keith, Blacklow, Paul   +3 more
core  

Summary of demographic variables.

, 2019
Summary of demographic variables.
Fazil Moradi (6866423), Mia Söderberg (6866420), Bledar Daka (6866426), Faraidoun Moradi (6866417), Anna-Carin Olin (168124), Mona Lärstad (836610)   +5 more
core   +1 more source

Diffusion Spectrum Imaging Maps Early Axonal Loss and a Unique Progressive Signal in Neuronal Intranuclear Inclusion Disease

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Objective To delineate specific in vivo white matter pathology in neuronal intranuclear inclusion disease (NIID) using diffusion spectrum imaging (DSI) and define its clinical relevance. Methods DSI was performed on 42 NIID patients and 38 matched controls.
Kaiyan Jiang, Yixiu Pei, Xiaobao Hu, Ying Xiong, Fang Wang, Yanyan Yu, Min Zhu, Dandan Tan, Meihong Zhou, Daojun Hong, Fuqing Zhou   +10 more
wiley   +1 more source

Demographic Variability in Fingerprint Patterns

Arab Journal of Forensic Sciences and Forensic Medicine
Fingerprints’ unique patterns are the source of human identification, particularly for forensic investigations. Several studies established an association of fingerprint patterns with demographic variables like age, gender, blood group, and social behavior, but these relations lack statistical evidence.
Amna Arooj, Hafiz Muhammad Abbas Malik, Faizan Akram, Hifz Ur Rehman, Kashaf Tul Wuda   +4 more
openaire   +1 more source

CX3CL1 in Early Detection of Alzheimer's Disease: Plasma Dynamics Across Age and Disease Stages

Annals of Clinical and Translational Neurology, EarlyView.
ABSTRACT Backgrounds Alzheimer's disease (AD) is characterized by amyloid‐beta plaques, tau tangles, and neuroinflammation. C‐X3‐C motif chemokine ligand 1 (CX3CL1, also known as fractalkine), a neuroimmune chemokine implicated in AD pathogenesis, shows inconsistent alterations in plasma/serum across studies.
Ling Wang, Yujie Liu, Fei Li, Xuelin Li, Lanlan Li, Jie Zhang, Yali Xu   +6 more
wiley   +1 more source

Demographic Variables by Group.

, 2014
Demographic Variables by Group.
Rebecca K. MacAulay (573808), Robert M. Brouillette (420675), Heather C. Foil (573809), Annadora J. Bruce-Keller (311161), Jeffrey N. Keller (308950)   +4 more
core   +1 more source