Parental Knowledge, Attitudes and Practices Towards Paediatric Ear Infections in Riyadh, Saudi Arabia: A quantitative study

ABSTRACT: Objectives: This study aimed to assess the knowledge, attitude and care-seeking practices of parents towards childhood ear infections in Riyadh, Saudi Arabia. Methods: This quantitative cross-sectional study was conducted in Riyadh, Saudi Arabia, between April and June 2018. An online survey was sent to a random selection of parents who were ≥18 years old with children of ≤10 years old. Associations between parental knowledge, attitude, care-seeking practices, socioeconomic status, level of education and age were assessed using the chi square test and logistic regression analysis. Results: A total of 782 subjects participated in this study (response rate: 78.2%). Most respondents were knowledgeable (76.2%), had a positive attitude (78.9%) and had positive care-seeking practices (89.5%). There was a statistically significant difference on both bivariate and multivariate analyses (P <0.05) between parental care seeking practice and knowledge. Parents who sought modern approaches to treatment were found to be almost nine times more likely to have a good attitude towards ear infections than those who did not seek treatment (odds ratio = 8.907, 95% confidence interval = 2.655–34.928; P <0.001). A statistically significant relationship was found between good care-seeking practice and age, as well as socioeconomic status (P <0.05 each). Conclusion: This study showed that knowledge, attitude and practice regarding paediatric ear infections were positive in the majority of parents in Riyadh, Saudi Arabia. Future studies should assess other factors that enhance the knowledge, attitude and practices regarding ear infections.Keywords: Otitis Media; Infection; Knowledge; Attitude; Pediatrics; Parents; Saudi Arabia

Towards building a practical face recognition system

Thesis (M. Eng.)--Massachusetts Institute of Technology, Dept. of Electrical Engineering and Computer Science, 1997.Includes bibliographical references (p. 56-57).by Wasiuddin A.S.M. Wahid.M.Eng

Risk factors assessment of bovine tuberculosis among abattoir personnel in Gombe State, Northeastern Nigeria: A One-Health approach

Aim: Bovine tuberculosis (bTB) is an important milk-borne zoonosis that affects cattle production and poses serious threat to public health. This study aimed at assessing the risk factors as well as the level of awareness, attitude, and practices of abattoir personnel toward bTB in Gombe Township Abattoir, Gombe State. Materials and Methods: A prospective survey was conducted between October 2015 and December 2015. During the survey, a total of 112 close-ended structured questionnaires were administered to the abattoir personnel to assess their level of awareness of bTB. Results: Of these respondents, the majority were males (79%), butchers (49%) and about 40% were under the productive age brackets of 26-35 years. Majority of the respondents (85.7%) were aware of the zoonotic nature of the disease. However, only a few of the respondents (44.6%) wear personal protective equipments (PPEs) clothes while handling or in contact with carcasses during the slaughtering process. Only a few among the respondents (24.1% and 31.2%) consumed unpasteurized milk and unaware of eating of improperly cooked meat as a risk factor of bTB, respectively. About 75.7% of the respondents believed that the habit of eating and drinking inside the abattoir and during slaughtering operations has no any significant effects on their health. The results obtained show a statistically significant association between respondents' awareness of bTB and their occupational status, duration of exposure to cattle carcasses, and knowledge about the disease (p<0.05); and the odds of being aware of bTB was 10.0, 5.07, and 4.2, respectively. Conclusion: This study demonstrates the need for public health authorities to intervene in bTB prevention and control through the creation of avenues for enlightenment on the zoonotic risk associated with bTB. The risk factors associated with bTB transmission as indicated by the personnel's practice and awareness levels in Gombe township abattoir are preventable through the use of PPEs clothing

Effect of different drying treatments and different extraction methods on alpha-Glucosidase inhibitory activities of S. zalacca fruit

Introduction: Salacca zalacca (Gaertn Voss), commonly known as snake fruit and belongs to the Arecaceae family and natives of Southeast Asia. This fruit is edible and have certain medicinal values. Objectives: The aim of this study was to compare the α-glucosidase inhibitory activities of different drying and extraction methods. Material and methods: Flesh of this fruit was subjected to two different drying methods namely; oven dried (OD) and freeze dried (FD) and extracts were prepared using soxhlet (SX), sonication (SC) and maceration (MC) techniques. The α-glucosidase inhibitory activity of extracts were evaluated using α-glucosidase enzyme. Results: The S. zalacca fruit extracts obtained through SC and MC demonstrated better α-glucosidase inhibitory activity as compared to SX method, specifically, the FD extracts showed higher activity compared to the OD extracts. Analysis of α-glucosidase inhibitory activity of the OD S. zalacca fruit extract indicates that extract obtained through SC method possesses significantly higher activity (IC50 79.42 μg/mL) than that of SX extracted sample which displayed IC50 at 125.73 μg/mL. Considering the effects of both methods (drying and extraction) on the α-glucosidase inhibitory activity of S. zalacca fruit extracts, extract obtained through SC of the FD fruits demonstrated the highest activity (IC50 19.40 μg/mL) Meanwhile, extracts obtained via OD and different extraction methods such as SX, MC and SC showed the least inhibition with IC50 125.73, 87.23 and 79.42 μg/mL, respectively. Conclusion: This study suggests that S. zalacca fruit has the potential for nutraceutical enhancement and as ingredient in medicinal preparation

Correlation of FT-IR fingerprint and α-glucosidase inhibitory activity of Salak (Salacca zalacca) fruit extracts utilizing orthogonal partial least square

Salak fruit (Salacca zalacca), commonly known as snake fruit, is used indigenously as food and for medicinal applications in Southeast Asia. This study was conducted to evaluate the α-glucosidase inhibitory activity of salak fruit extracts in correlation to its Fourier transform infrared spectroscopy (FT-IR) fingerprint, utilizing orthogonal partial least square. This calibration model was applied to develop a rapid analytical method tool for quality control of this fruit. A total of 36 extracts prepared with different solvent ratios of ethanol–water (100, 80, 60, 40.20, 0% v/v) and their α-glucosidase inhibitory activities determined. The FT-IR spectra of ethanol–water extracts measured in the region of 400 and 4000 cm−1 at a resolution of 4 cm−1. Multivariate analysis with a combination of orthogonal partial least-squares (OPLS) algorithm was used to correlate the bioactivity of the samples with the FT-IR spectral data. The OPLS biplot model identified several functional groups (C–H, C=O, C–N, N–H, C–O, and C=C) which actively induced α-glucosidase inhibitory activity

Effect of different drying treatments and different extraction methods on α-glucosidase inhibitory activities of S. zalacca fruit

Introduction: Salacca zalacca (Gaertn Voss), commonly known as snake fruit and belongs to the Arecaceae family and natives of Southeast Asia. This fruit is edible and have certain medicinal values. Objectives: The aim of this study was to compare the α-glucosidase inhibitory activities of different drying and extraction methods. Material and methods: Flesh of this fruit was subjected to two different drying methods namely; oven dried (OD) and freeze dried (FD) and extracts were prepared using soxhlet (SX), sonication (SC) and maceration (MC) techniques. The α-glucosidase inhibitory activity of extracts were evaluated using α-glucosidase enzyme . Results: The S. zalacca fruit extracts obtained through SC and MC demonstrated better α-glucosidase inhibitory activity as compared to SX method, specifically, the FD extracts showed higher activity compared to the OD extracts. Analysis of α-glucosidase inhibitory activity of the OD S. zalacca fruit extract indicates that extract obtained through SC method possesses significantly higher activity (IC50 79.42 µg/mL) than that of SX extracted sample which displayed IC50 at 125.73 µg/mL. Considering the effects of both methods (drying and extraction) on the α-glucosidase inhibitory activity of S. zalacca fruit extracts, extract obtained through SC of the FD fruits demonstrated the highest activity (IC50 19.40 µg/mL) Meanwhile, extracts obtained via OD and different extraction methods such as SX, MC and SC showed the least inhibition with IC50 125.73, 87.23 and 79.42 µg/mL, respectively. Conclusion: This study suggests that S. zalacca fruit has the potential for nutraceutical enhancement and as ingredient in medicinal preparation

Cloud of Things and fog computing in Iraq: Potential applications and sustainability

This paper depicts the principles of Cloud of Things and fog computing and discusses its possible uses in Iraq with sustainability measures. The capacity of cloud computing to supply elastic, as-needed computer resources has garnered widespread interest worldwide. However, fog computing and a Cloud of Things enhance the Internet of Things by relocating computation to devices on the network's periphery. This study looks at how the Cloud of Things and fog computing are used now in Iraq, the obstacles, and the future uses of these technologies in various fields. To fully reap the benefits of the Cloud of Things and fog computing in Iraq, the study also emphasizes the significance of infrastructure development, policy design, cybersecurity, and other measures. This study will discuss the use of questionnaires in research. There are two distinct components to this. The first section includes questions regarding the respondents' affiliations, including their roles, departments, organization sizes, and ministries. The rest of the study's factors are discussed with inquiries in line with issues of cyber security, privacy, sustainability, cost of implementation, feasibility, trust, IT infrastructure, and government support. The survey's final open-ended inquiry will help us to compile a wide range of perspectives on what kinds of Cloud of Things and fog computing services based on the Iraqi government's needs

INSULIN-MIMETIC ACTIVITY OF STEVIOSIDE ON DIABETIC RATS: BIOCHEMICAL, MOLECULAR AND HISTOPATHOLOGICAL STUDY

Background: Stevioside has been used as a medication for reducing glucose levels in diabetic patients. The exact mode of action is still unclear. Therefore, the current study outlines the molecular and biological roles of stevioside in treatment of diabetes. Materials and Methods: induced diabetic male wistar rats treated with stivioside and metformin as therapy for diabetic rats. Biochemical, molecular and histopathological studies have been done to evaluate the therapeutic effect of stevioside on minimizing levels of glucose in diabetic rats. Results: Stevioside administration normalized kidney and liver biomarkers, restored alterations in antioxidants activity and lipid profiles. Moreover, stevioside increased insulin and leptin secretion that are decreased in diabetic rats to the normal levels.For mRNA expression, stevioside up-regulated the expressions of PK and IRS-1 genes which are down-regulated in diabetic rats, and was very effective in down-regulation of CPT-1 mRNA expression. At the cellular levels; stevioside normalized the histopathological changes induced in pancreas. Conclusion: Stevioside has insulin like effects and it is useful for diabetic patient’s therapy

Overview of Mobile Attack Detection and Prevention Techniques Using Machine Learning

In light of the increasing sophistication and frequency of mobile attacks, there is a growing demand for advanced intelligent techniques capable of offering comprehensive mobile attack detection and prevention. This paper aims to critically evaluate the landscape of mobile security, outlining the evolution of mobile attack vectors and pinpointing the deficiencies in traditional security methods. The text embarks on a journey to understand the connection between machine learning (ML) and its promising applications in enhancing mobile security. First, we outline the current state of mobile attacks and the traditional methods used for their detection, emphasizing the clear limitations and the necessity for an innovative approach. Following this, we will elucidate the fundamentals of ML and its implications in cybersecurity, exploring the benefits it can provide to mobile attack detection frameworks. We delve into discussing various ML algorithms, such as decision trees, random forests, and support vector machines, highlighting their effectiveness and the metrics used to evaluate ML models in security tasks. Moreover, the paper sheds light on novel approaches such as semi-supervised and unsupervised learning in anomaly detection, as well as the applications of transfer learning in security. Addressing the pressing challenges faced in artificial intelligence (AI)-driven mobile attack detection, we delve deep into the intricacies of data collection, labeling, and the prevailing issues of imbalance and overfitting. Furthermore, we explore contemporary adversarial attacks and defenses, scrutinizing the real-world adaptability of AI models and the pivotal role of human-AI collaboration in enhancing attack detection mechanisms

Geochemical Signature of Mesozoic Volcanic and Granitic Rocks in Madina Regency Area, North Sumatra, Indonesia, and Its Tectonic Implication

Http://dx.doi.org/10.17014/ijog.vol4no2.20094Five samples consisting of two Permian-Triassic basalts, two Triassic-Jurassic granitic rocks, and a Miocene andesite were collected from the Madina Regency area in North Sumatra that is regionally situated on the West Sumatra Block. Previous authors have proposed three different scenarios for the geological setting of West Sumatra Permian Plutonic-Volcanic Belt, namely an island-arc, subduction related continental margin arc, and continental break-up. Petrographic analysis of the Mesozoic basaltic samples indicates that they are island-arcs in origin; however their trace element spider diagram patterns (Rock/MORB ratio) also show the character of back-arc marginal basin, besides the island-arc. Furthermore, their REE spider diagram patterns (Rock/ Chondrite ratio) clearly reveal that they were actually generated in a back-arc marginal basin tectonic setting. Meanwhile, the two Mesozoic granitic rocks and the Miocene andesite reflect the character of an active continental margin. Their spider diagram patterns show a significant enrichment on incompat- ible elements, usually derived from fluids of the subducted slab beneath the subduction zone. The high enrichment on Th makes their plots on Ta/Yb versus Th/Yb diagram are shifted to outside the active continental margin field. Although the volcanic-plutonic products represent different ages, their La/Ce ratio leads to a probability that they have been derived from the same magma sources. This study offers another different scenario for the geological setting of West Sumatra Permian Plutonic-Volcanic Belt, where the magmatic activities started in a back-arc marginal basin tectonic setting during the Permian-Triassic time and changed to an active continental margin during Triassic to Miocene. The data are collected through petrographic and chemical analyses for major, trace, and REE includ- ing literature studies