Omer Ali

Jan 28, 2025 | onlinelibrary.wiley.com | Omer Ali |Sarah Raviola

1 INTRODUCTION While the price of housing relative to other goods has increased by 120% between 1970 and 2016 (Albouy et al., 2016), there is considerable heterogeneity in the extent of house price appreciation across places. Affordable housing shortages and gentrification in historically low-income urban neighborhoods have been associated with the displacement of low-income renters (De Marco & Hunt, 2018).

May 30, 2024 | bjgp.org | Erica di Martino |Stephanie Honey |Stephen Bradley |Omer Ali

AbstractBackground Cancer incidence increases with age, so some clinical guidelines include patient age as one of the criteria used to decide whether a patient should be referred through the urgent suspected cancer (USC) pathway. Little is known about how strictly GPs adhere to these age criteria and what factors might influence their referral decisions for younger patients.

Apr 29, 2024 | bjgp.org | Erica di Martino |Stephanie Honey |Stephen Bradley |Omer Ali

agecancergeneral practiceguidelinesreferralIntroductionCancer diagnosis in younger patients is challenging. The incidence of some malignancies, such as colorectal cancer, in younger patients is steadily increasing worldwide,1–3 with a 2023 study indicating a 28% rise in mortality due to early-onset cancer in 2019 compared with 1990.3 However, most types of cancers remain uncommon in people aged <50 years.

Feb 6, 2024 | jamanetwork.com | Chika Uzoigwe |Harcourt House |Omer Ali |Sarah Horvath

Induced Abortion and the Risk of Rh Sensitization Sarah Horvath, MD, MSHP; Zhen-Yu Huang, MD, PhD; Nathanael C. Koelper, MPH; Christian Martinez, BA; Patricia Y. Tsao, MD, PhD; Ling Zhao, MD, PhD; Alisa B. Goldberg, MD, MPH; Curtiss Hannum, MSN; Mary E. Putt, PhD, ScD; Eline T. Luning Prak, MD, PhD; Courtney A. Schreiber, MD, MPH Rh Sensitization and Induced Abortion—Reply Sarah Horvath, MD, MSHP; Courtney A. Schreiber, MD, MPH; Eline T.

Oct 24, 2023 | mdpi.com | Omer Ali |Qamar Abbas |Khalid Mahmood |Ernesto Bautista Thompson

1. IntroductionParticle swarm optimization (PSO) was initially introduced by Kennedy and Eberhart [1]. PSO is a simple stochastic searching technique for optimization that is motivated by the ordinary swarming comportment of bird clustering and fish schooling. The performance of PSO in finding virtuous solutions for optimization problems is very good. The PSO algorithm has the advantage of fast convergence, easy code implementation, less computational complexity, and few parameter adjustments [2,3].