Crotaline and elapid snakebites are reported all over the world as well as in the Middle East and other countries around this region. However, data regarding snakebites and their treatment in Qatar are limited. This review paper is going to investigate the presentation and treatment of snakebite in Qatar. A good assessment helps to decide on the management of the snakebites envenomation. Antivenom and conservative management are the mainstays of treatment for crotaline snakebite. Point-of-care ultrasound (POCUS) has been suggested to do early diagnosis and treatment of soft tissue problems, such as edema and compartment syndrome, after a snakebite. The supporting data are not sufficient regarding the efficiency of POCUS in diagnosing the extent and severity of tissue involvement and its ultimate effect on the outcome. Further research is suggested in this case. Systemic complications, such as bleeding diathesis, can be managed by administering clotting factors and platelets. Spinal anesthesia is the most common anesthetic technique for cesarean delivery. Patient satisfaction is a subjective and complicated concept, involving physical, emotional, psychological, social, and cultural factors. Regular evaluation of maternal satisfaction related to anesthesia service is an important parameter to the required changes and expansion of high-quality care services. We aimed to assess maternal satisfaction and associated factors among parturients who underwent cesarean delivery under spinal anesthesia. Institutional-based cross-sectional study was conducted from February to May 2019. A total of 383 parturients were enrolled to assess maternal satisfaction using a 5-point Likert scale. Both bivariable and multivariable logistic regression analyses were done. Terfenadine Variables of value ≤0.2 in the bivariable analysis were a candidate for multivariable logistic regression. A value <0.05 was considered as significantly associated with maternal satisfaction at 95% CI. This study revealed satisfaction. Therefore, effective perioperative management, skillful techniques, and using the small-gauge Quincke spinal needle (25-27 gauge) may increase the maternal satisfaction and quality of spinal anesthesia management. Freezing of gait (FOG) is a disabling gait disorder influencing patients with Parkinson's disease (PD). Accumulating evidence suggests that FOG is related to the functional alterations within brain networks. We investigated the changes in brain resting-state functional connectivity (FC) in patients with PD with FOG (FOG+) and without FOG (FOG-). Resting-state functional magnetic resonance imaging (RS-fMRI) data were collected from 55 PD patients (25 FOG+ and 30 FOG-) and 26 matched healthy controls (HC). Differences in intranetwork connectivity between FOG+, FOG-, and HC individuals were explored using independent component analysis (ICA). Seven resting-state networks (RSNs) with abnormalities, including motor, executive, and cognitive-related networks, were found in PD patients compared to HC. Compared to FOG- patients, FOG+ patients had increased FC in advanced cognitive and attention-related networks. In addition, the FC values of the auditory network and default mode network were positively correlated with the Gait and Falls Questionnaire (GFQ) and Freezing of Gait Questionnaire (FOGQ) scores in FOG+ patients. Our findings suggest that the neural basis of PD is associated with impairments of multiple functional networks. Notably, alterations of advanced cognitive and attention-related networks rather than motor networks may be related to the mechanism of FOG.Our findings suggest that the neural basis of PD is associated with impairments of multiple functional networks. Notably, alterations of advanced cognitive and attention-related networks rather than motor networks may be related to the mechanism of FOG. Retinal blood vessel image segmentation is an important step in ophthalmological analysis. However, it is difficult to segment small vessels accurately because of low contrast and complex feature information of blood vessels. The objective of this study is to develop an improved retinal blood vessel segmentation structure (WA-Net) to overcome these challenges. This paper mainly focuses on the width of deep learning. The channels of the ResNet block were broadened to propagate more low-level features, and the identity mapping pathway was slimmed to maintain parameter complexity. A residual atrous spatial pyramid module was used to capture the retinal vessels at various scales. We applied weight normalization to eliminate the impacts of the mini-batch and improve segmentation accuracy. The experiments were performed on the DRIVE and STARE datasets. To show the generalizability of WA-Net, we performed cross-training between datasets. The global accuracy and specificity within datasets were 95.66% and 96.45% and 98.13% and 98.71%, respectively. The accuracy and area under the curve of the interdataset diverged only by 1%∼2% compared with the performance of the corresponding intradataset. All the results show that WA-Net extracts more detailed blood vessels and shows superior performance on retinal blood vessel segmentation tasks.All the results show that WA-Net extracts more detailed blood vessels and shows superior performance on retinal blood vessel segmentation tasks.Humans are always exposed to the threat of infectious diseases. It has been proven that there is a direct link between the strength or weakness of the immune system and the spread of infectious diseases such as tuberculosis, hepatitis, AIDS, and Covid-19 as soon as the immune system has no the power to fight infections and infectious diseases. Moreover, it has been proven that mathematical modeling is a great tool to accurately describe complex biological phenomena. In the recent literature, we can easily find that these effective tools provide important contributions to our understanding and analysis of such problems such as tumor growth. This is indeed one of the main reasons for the need to study computational models of how the immune system interacts with other factors involved. To this end, in this paper, we present some new approximate solutions to a computational formulation that models the interaction between tumor growth and the immune system with several fractional and fractal operators. The operators used in this model are the Liouville-Caputo, Caputo-Fabrizio, and Atangana-Baleanu-Caputo in both fractional and fractal-fractional senses.