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Orbital varices: Epidemiology, clinical presentation, and treatment outcomes – A scoping review
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Background:

Orbital varices are vein dilations in the orbit presenting various symptoms. This scoping review synthesizes existing evidence on their epidemiology, clinical features, and treatment efficacy.

Methods:

Literature was reviewed according to Preferred Reporting Items for Systematic Reviews and Meta-Analyses guidelines. PubMed and Scopus were searched until April 31, 2024, for articles on clinically diagnosed ocular varices detailing diagnostic methods, treatments, and outcomes. Exclusions were reviews, animal studies, and incomplete case reports. Data on study characteristics, diagnosis, management, and outcomes were extracted and assessed for quality and bias.

Results:

Eight studies met the inclusion criteria, with sample sizes ranging from 4 to 30 and ages from 1 to 87 years. Diagnostic tools included magnetic resonance imaging and computed tomography, while treatments ranged from conservative methods to invasive procedures and radiosurgery. Notably, higher symptom resolution rates were associated with observational strategies and minimally invasive surgeries. However, Gamma Knife radiosurgery, although promising, posed risks of vision impairment in some cases.

Conclusion:

The management of orbital varices has evolved significantly with newer, less invasive techniques improving outcomes and reducing recovery times. Despite advancements, challenges such as disease recurrence and the need for personalized treatment regimens persist, underscoring the ongoing need for research to refine and standardize treatment approaches.

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Publication Date
Fri Apr 14 2023
Journal Name
Journal Of Big Data
A survey on deep learning tools dealing with data scarcity: definitions, challenges, solutions, tips, and applications
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Abstract<p>Data scarcity is a major challenge when training deep learning (DL) models. DL demands a large amount of data to achieve exceptional performance. Unfortunately, many applications have small or inadequate data to train DL frameworks. Usually, manual labeling is needed to provide labeled data, which typically involves human annotators with a vast background of knowledge. This annotation process is costly, time-consuming, and error-prone. Usually, every DL framework is fed by a significant amount of labeled data to automatically learn representations. Ultimately, a larger amount of data would generate a better DL model and its performance is also application dependent. This issue is the main barrier for</p> ... Show More
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Publication Date
Sun Jan 01 2023
Journal Name
Journal Of Advanced Pharmacy Education And Research
Pharmacokinetic parameters of ondansetron in rats after oral solution and transdermal invasomes gel: A comparison study
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Publication Date
Thu Apr 29 2021
Journal Name
International Journal Of Pavement Engineering
An assessment of lime-cement stabilisation on the elastic and resilient moduli of a clayey soil
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Publication Date
Sun Apr 30 2023
Journal Name
Iraqi Journal Of Science
Antithyroid Peroxidase and Thyroid Hormones in a Sample of Iraqi Patients with Type 2 Diabetic Mellitus
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     This study aims to investigate the relationship between thyroid peroxidase antibody (TPO) and thyroid function tests (TSH, T3 and T4) in patients with type 2 diabetes mellitus (T2DM). Ninety women and men, with ages ranging between 35-65 years and weighing 60-80 kgs, were selected for this study. They were classified into three groups: G1 included 15 healthy control group, G2 had15 patients with T2DM and G3 had 60 patients with T2DM and hypothyroidism. Blood samples were collected from each individual via vein puncture to assess thyroid hormone and TPO-Ab. The results showed highly significant (p < 0.01) increase in TSH level in the diabetic group with hypothyroidism when compared to the other groups. There was no significant

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Publication Date
Sun Oct 01 2023
Journal Name
Baghdad Science Journal
Green synthesis of CdS:Sn NPs by Starch as a Covering Agent and Studying its Physical Properties
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The aim of this research is to employ starch as a stabilizing and reducing agent in the production of CdS nanoparticles with less environmental risk, easy scaling, stability, economical feasibility, and suitability for large-scale production. Nanoparticles of CdS have been successfully produced by employing starch as a reducing agent in a simple green synthesis technique and then doped with Sn in certain proportions (1%, 2%, 3%, 4%, and 5%).According to the XRD data, the samples were crystallized in a hexagonal pattern, because the average crystal size of pure CdS is 5.6nm and fluctuates in response to the changes in doping concentration 1, 2, 3, 4, 5 %wt Sn, to become   4.8, 3.9, 11.5, 13.1, 9.3 nm respectively. An increase in crystal

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Publication Date
Thu Feb 01 2018
Journal Name
Applied Energy
Solidification enhancement of PCM in a triplex-tube thermal energy storage system with nanoparticles and fins
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Publication Date
Mon Jun 05 2023
Journal Name
Communications In Mathematical Biology And Neuroscience
THE DYNAMICS OF A STAGE-STRUCTURE PREY-PREDATOR MODEL WITH HUNTING COOPERATION AND ANTI-PREDATOR BEHAVIOR
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The mathematical construction of an ecological model with a prey-predator relationship was done. It presumed that the prey consisted of a stage structure of juveniles and adults. While the adult prey species had the power to fight off the predator, the predator, and juvenile prey worked together to hunt them. Additionally, the effect of the harvest was considered on the prey. All the solution’s properties were discussed. All potential equilibrium points' local stability was tested. The prerequisites for persistence were established. Global stability was investigated using Lyapunov methods. It was found that the system underwent a saddle-node bifurcation near the coexistence equilibrium point while exhibiting a transcritical bifurcation

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Publication Date
Fri Jan 01 2021
Journal Name
Journal Of Stomatology
Association of self-reported symptoms of xerostomia with vaping and cigarette smoking: a cross-sectional study
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Publication Date
Thu Jun 01 2017
Journal Name
Nuclear Physics A
Alpha-cluster preformation factor within cluster-formation model for odd-A and odd–odd heavy nuclei
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Publication Date
Wed Dec 01 2021
Journal Name
Open Biology
Structure and in silico simulations of a cold-active esterase reveals its prime cold-adaptation mechanism
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Here we determined the structure of a cold active family IV esterase (EstN7) cloned from Bacillus cohnii strain N1. EstN7 is a dimer with a classical α/β hydrolase fold. It has an acidic surface that is thought to play a role in cold-adaption by retaining solvation under changed water solvent entropy at lower temperatures. The conformation of the functionally important cap region is significantly different to EstN7's closest relatives, forming a bridge-like structure with reduced helical content providing greater access to the active site through more than one substrate access tunnel. However, dynamics do not appear to play a major role in cold adaption. Molecular dyn

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