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  • 1
    In: Journal of Public Health Research, SAGE Publications, Vol. 10, No. 4 ( 2021-10-26), p. jphr.2021.2276-
    Abstract: Antimicrobial resistance is a global issue that causes significant morbidity and mortality. Therefore, this study aims to assess knowledge, attitudes, and practices (KAP) of the general Saudi populations toward antibiotics use. Design and method A cross-sectional, anonymous online survey was conducted from January 1 to May 11, 2020, across five major regions of Saudi Arabia. Participants (aged ≥18 years) were invited through social media to complete an online self-structured questionnaire. All data were analyzed by Statistical Package (SPSS v. 25). Descriptive statistics, Pearson's Chi-squared, t-tests, one-way analysis of variance (ANOVA), and Pearson correlation analyses were conducted. Results Out of 443 participants, the majority (n=309, 69.8%) were females, 294 (64.4%) were married, 176 (39.7%) were 25-34 years of age, 338 (76.3%) were living in the Eastern Province, 313 (70.7%) had college or higher education, 139 (31.4%) were not working, and 163 (36.8%) had a monthly income of USD 800-1330. Overall, most participants demonstrated good knowledge and practice (88% and 85.6%, respectively). However, 76.8%had inadequate attitude score levels towards antibiotics use. Of all the respondents, 74.9% knew that not completing a full course of antibiotics may cause antibiotics resistance, 91.33% did not agree that antibiotics should be accessed without a prescription, and 94.04% will not hand over leftover antibiotics to family members. Factors associated with adequate knowledge were female, medical jobs, and higher income (p 〈 0.05). Conclusions Our findings revealed that while most participants were aware of antibiotics use and demonstrated good knowledge, good practices, they had negative attitudes towards antibiotics use.
    Type of Medium: Online Resource
    ISSN: 2279-9036 , 2279-9036
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2672312-8
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  • 2
    In: Hospital Pharmacy, SAGE Publications, Vol. 56, No. 6 ( 2021-12), p. 690-696
    Abstract: Prescribing a drug for a child is not an easy task and requires using the best available evidence as a guide, especially when a drug is used off-label. The practice of prescribing a drug for off-label use is fairly widespread worldwide. The FDA does not regulate prescribing patterns or practices of individual practitioners and, therefore, allows off-label use. The main objective of this study is to evaluate off-label prescribing among the pediatric population in the Kingdom of Saudi Arabia (KSA). Method: This is a retrospective, simple random selection observational study of children (≤15 years) who visited pediatric clinics and had at least 1 drug prescribed over a 12-month period (January to December 2018). Results: A total of 865 drugs (mean 1 and SD 0.24) were prescribed to 326 children. Off-label was identified in 39.4% of the drugs with a frequency of 512 (as 1 drug may belong to more than 1 off-label category). The most common reason for off-label prescribing was related to doses that were “higher or lower than the recommended use” (48.6%), and the most frequently identified drug class prescribed for off-label use was anti-infective drugs for systemic use (39.9%). The percentage of off-label drug use was found to be higher in girls and in the age group of 1 month to 2 years ( P = .001) for both variables. In addition, a significant association was found between off label drug use and the total number of drugs prescribed, P  〈  .001. Conclusion: The findings of this study showed a high incidence of off-label prescribing mainly related to dosing and indication. The results of this observational study support the need to establish a unified national pediatric dosing formulary guide to ensure safe drug use in pediatrics.
    Type of Medium: Online Resource
    ISSN: 0018-5787 , 1945-1253
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2069227-4
    SSG: 15,3
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  • 3
    In: Autism, SAGE Publications, Vol. 25, No. 6 ( 2021-08), p. 1627-1639
    Abstract: Autistic children and adults who are non-verbal/minimally verbal or have an intellectual disability have often been excluded from Autism Spectrum Disorder research. Historical, practical and theoretical reasons for this exclusion continue to deter some researchers from work with this underserved population. We discuss why these reasons are neither convincing nor ethical, and provide strategies for dealing with practical issues. As part of a randomised controlled trial of an intervention for children with profound autism, we reflected as a multi-disciplinary team on what we had learnt from these children, their families and each other. We provide 10 strategies to overcome what appeared initially to be barriers to collecting data with this population. These hurdles and our solutions are organised by theme: interacting physically with children, how to play and test, navigating difficult behaviours, selecting suitable outcome measures, relating with parents, managing siblings, involving stakeholders, timing interactions, the clinician’s role in managing expectations, and recruitment. The aim of this article is to provide researchers with the tools to feel motivated to conduct research with children with profound autism and their families, a difficult but worthwhile endeavour. Many of these lessons also apply to conducting research with non-autistic children with intellectual disabilities. Lay abstract Autistic children who speak few or no words or who have an intellectual disability are the most in need of new understandings and treatments, but the most often left out of the research that can bring these benefits. Researchers perceive difficulties around compliance with instructions, testing, challenging behaviours and family stress. Although research with these children can indeed be difficult, their continuing exclusion is unethical and unacceptable. Drawing on our experiences testing a possible treatment for children with profound autism, we provide 10 practical guidelines related to (1) interacting physically, (2) combining play and testing, (3) responding to challenging behaviour, (4) finding suitable tests, (5) relationships with parents, (6) relationships with siblings, (7) involving stakeholders, (8) planning the testing times, (9) the role of the clinical supervisor and (10) recruiting and retaining participants. We hope that these guidelines will prepare and embolden other research teams to work with profoundly autistic children, ending their historical exclusion from research. These guidelines also could be useful for conducting research with children with intellectual disabilities.
    Type of Medium: Online Resource
    ISSN: 1362-3613 , 1461-7005
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2021
    detail.hit.zdb_id: 2034686-4
    SSG: 5,2
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  • 4
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Journal of Information Science Vol. 46, No. 4 ( 2020-08), p. 544-559
    In: Journal of Information Science, SAGE Publications, Vol. 46, No. 4 ( 2020-08), p. 544-559
    Abstract: Sentiment analysis (SA), also known as opinion mining, is a growing important research area. Generally, it helps to automatically determine if a text expresses a positive, negative or neutral sentiment. It enables to mine the huge increasing resources of shared opinions such as social networks, review sites and blogs. In fact, SA is used by many fields and for various languages such as English and Arabic. However, since Arabic is a highly inflectional and derivational language, it raises many challenges. In fact, SA of Arabic text should handle such complex morphology. To better handle these challenges, we decided to provide the research community and Arabic users with a new efficient framework for Arabic Sentiment Analysis (ASA). Our primary goal is to improve the performance of ASA by exploiting deep learning while varying the preprocessing techniques. For that, we implement and evaluate two deep learning models namely convolutional neural network (CNN) and long short-term memory (LSTM) models. The framework offers various preprocessing techniques for ASA (including stemming, normalisation, tokenization and stop words). As a result of this work, we first provide a new rich and publicly available Arabic corpus called Moroccan Sentiment Analysis Corpus (MSAC). Second, the proposed framework demonstrates improvement in ASA. In fact, the experimental results prove that deep learning models have a better performance for ASA than classical approaches (support vector machines, naive Bayes classifiers and maximum entropy). They also show the key role of morphological features in Arabic Natural Language Processing (NLP).
    Type of Medium: Online Resource
    ISSN: 0165-5515 , 1741-6485
    RVK:
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 439125-1
    detail.hit.zdb_id: 2025062-9
    SSG: 24,1
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  • 5
    Online Resource
    Online Resource
    SAGE Publications ; 2022
    In:  Journalism & Mass Communication Educator Vol. 77, No. 1 ( 2022-03), p. 111-122
    In: Journalism & Mass Communication Educator, SAGE Publications, Vol. 77, No. 1 ( 2022-03), p. 111-122
    Abstract: Our in-depth qualitative interviews with journalism graduate students and professors, from Kashmir, India, show that unlike the rest of India, the region experienced extremely low internet connectivity, and this combined with a lack of access to technology nearly brought classes to a standstill. But students and teachers, used to social disruptions, used the COVID-19 pandemic to learn and practice journalism that was deeply bound to the community and they created “circles of trust” that helped them overcome internet and other technical issues. Ramifications for journalism education in situations of low connectivity and poor technology resources are discussed.
    Type of Medium: Online Resource
    ISSN: 1077-6958 , 2161-4326
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2070252-8
    SSG: 3,5
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  • 6
    In: European Stroke Journal, SAGE Publications
    Abstract: Cerebral venous sinus thrombosis associated with vaccine-induced immune thrombotic thrombocytopenia (CVST-VITT) is a severe disease with high mortality. There are few data on sex differences in CVST-VITT. The aim of our study was to investigate the differences in presentation, treatment, clinical course, complications, and outcome of CVST-VITT between women and men. Patients and methods: We used data from an ongoing international registry on CVST-VITT. VITT was diagnosed according to the Pavord criteria. We compared the characteristics of CVST-VITT in women and men. Results: Of 133 patients with possible, probable, or definite CVST-VITT, 102 (77%) were women. Women were slightly younger [median age 42 (IQR 28–54) vs 45 (28–56)], presented more often with coma (26% vs 10%) and had a lower platelet count at presentation [median (IQR) 50x10 9 /L (28–79) vs 68 (30–125)] than men. The nadir platelet count was lower in women [median (IQR) 34 (19–62) vs 53 (20–92)] . More women received endovascular treatment than men (15% vs 6%). Rates of treatment with intravenous immunoglobulins were similar (63% vs 66%), as were new venous thromboembolic events (14% vs 14%) and major bleeding complications (30% vs 20%). Rates of good functional outcome (modified Rankin Scale 0-2, 42% vs 45%) and in-hospital death (39% vs 41%) did not differ. Discussion and conclusions: Three quarters of CVST-VITT patients in this study were women. Women were more severely affected at presentation, but clinical course and outcome did not differ between women and men. VITT-specific treatments were overall similar, but more women received endovascular treatment.
    Type of Medium: Online Resource
    ISSN: 2396-9873 , 2396-9881
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2851287-X
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  • 7
    Online Resource
    Online Resource
    SAGE Publications ; 2018
    In:  International Journal of STD & AIDS Vol. 29, No. 14 ( 2018-12), p. 1400-1406
    In: International Journal of STD & AIDS, SAGE Publications, Vol. 29, No. 14 ( 2018-12), p. 1400-1406
    Abstract: Human immunodeficiency virus (HIV) infection prevalence in Pakistan has been increasing in high-risk groups, including people who inject drugs (PWID) and transgender hijra sex workers (TG-HSWs) nationwide. Effective control of HIV requires early diagnosis of the infection. We investigated recency of HIV infections in newly-diagnosed cases in PWID and TG-HSWs. This was an observational study with convenience sampling. Overall, 210 HIV-positive subjects comprising an equal number of PWID and TG-HSWs were included. Antibody avidity was tested using the Maxim HIV-1 Limiting Antigen Avidity (LAg) EIA (Maxim Biomedical, Inc. Rockville, Maryland, USA). The mean age of study subjects was 29.5 years: PWID, 28.5 years and TG-HSWs, 30.4 years. Study subjects were married, 27%, or unmarried. Eighteen percent of individuals had recently-acquired HIV infections: 19% of PWID and 17% of TG-HSWs. Eighty-two percent of individuals had long-term HIV infections: 81% of PWID and 83% of TG-HSWs. This is the first study identification of recent HIV-1 infections in Pakistan. We show that most newly-diagnosed HIV patients in the high-risk groups studied had long-term infections. There is an urgent need for intervention in these groups to facilitate early diagnosis and treatment of HIV infection to reduce transmission in Pakistan.
    Type of Medium: Online Resource
    ISSN: 0956-4624 , 1758-1052
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2018
    detail.hit.zdb_id: 2009782-7
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  • 8
    Online Resource
    Online Resource
    SAGE Publications ; 2020
    In:  Canadian Journal of Kidney Health and Disease Vol. 7 ( 2020-01), p. 205435812095742-
    In: Canadian Journal of Kidney Health and Disease, SAGE Publications, Vol. 7 ( 2020-01), p. 205435812095742-
    Abstract: Diabetic kidney disease (DKD) is a progressive kidney disease and a leading cause of end-stage renal disease (ESRD). Diabetic kidney disease has been strongly associated with increased risk of cardiovascular morbidity and mortality. Despite their susceptibility to cardiovascular diseases (CVDs), patients with DKD are less likely to receive appropriate cardiovascular risk modification as they are generally excluded from major cardiovascular trials. Awareness of vulnerability of these patients necessitates investigating potential interventions that would lessen their risk of adverse outcomes. Objectives: This study aimed to explore the effect of bone marrow–derived mesenchymal stem cells (MSCs) in modulating cardiovascular risk factors that develop with the progression of DKD. Methods: A total of 60 adult female albino rats were allocated into 3 groups: control group, untreated DKD group, and mesenchymal stem cells–treated diabetic kidney disease (MSCs-DKD) group. Blood pressure, blood glucose level, lipid profile, and atherogenic index were used to assess cardiovascular risk. All rats were killed and subjected to in vitro aortic reactivity studies 8 weeks after induction of diabetes. The MSCs-DKD rats received a single intravenous injection of MSCs 4 weeks after diabetes induction. Results: Mesenchymal stem cells injection significantly decreased blood pressure, atherogenic index, and blood glucose compared with untreated rats. The MSCs-DKD aorta also exhibited significant enhancement of vascular reactivity parameters despite absence of improvement in kidney function. These findings conformed to tracked MSCs, which were found residing in aortic and pancreatic tissues and absent in kidneys. Conclusions: Mesenchymal stem cells hold hope of improving cardiovascular risk and mortality in patients with DKD, particularly those deteriorating to ESRD.
    Type of Medium: Online Resource
    ISSN: 2054-3581 , 2054-3581
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2020
    detail.hit.zdb_id: 2765462-X
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  • 9
    In: Quarterly Journal of Experimental Psychology, SAGE Publications
    Abstract: Self-cues such as personal pronouns are known to elicit processing biases, such as attention capture and prioritisation in working memory. This may impact the performance of tasks that have a high attentional load like mathematical problem-solving. Here, we compared the speed and accuracy with which children solved numerical problems that included either the self-cue “you,” or a different character name. First, we piloted a self-referencing manipulation with N = 52, 7 to 11 year-olds, testing performance on addition and subtraction problems that had either a single referent (“You”/“Sam”) or more than one referent. We took into account operation and positioning of the pronoun and also measured performance on attention and working memory tasks. We found a robust accuracy advantage for problems that included “you,” regardless of how many characters were included. The accuracy advantage for problems with a self-pronoun was not statistically associated with individual differences in attention or working memory. In our main study (9 to 11 year-olds, N = 144), we manipulated problem difficulty by creating consistently and inconsistently worded addition and subtraction problems. We found significantly higher speed and accuracy for problems that included “you.” However, this effect varied by task difficulty, with the self-pronoun effect being strongest in the most difficult inconsistently worded, subtraction problems. The advantage of problems with a self-pronoun was not associated with individual differences in working memory. These findings suggest that self-cues like the pronoun “you” can be usefully applied in numerical processing tasks, an effect that may be attributable to the effects of self-cues on attention.
    Type of Medium: Online Resource
    ISSN: 1747-0218 , 1747-0226
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2023
    detail.hit.zdb_id: 2225936-3
    SSG: 5,2
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  • 10
    In: Dose-Response, SAGE Publications, Vol. 20, No. 2 ( 2022-04), p. 155932582211082-
    Abstract: Vicilins are major seed storage proteins and show differential binding affinities toward sugar moieties of fungal cell wall and insect gut epithelium. Hence, purpose of study is the thorough in-silico characterization of interactions between vicilin and chitin oligomer followed by fungal and insecticidal bioassays. This work covers the molecular simulation studies explaining the interactions between Pisum sativum vicilin ( PsV) and chitin oligomer followed by protein bioassay against different pathogens. LC-MS/MS of purified PsV (∼50 kDa) generated residual data along high pea vicilin homology (UniProtKB ID; P13918). Predicted model ( PsV) indicated the characteristic homotrimer joined through head-to-tail association and each monomer is containing a bicupin domain. PsV site map analysis showed a new site (Site 4) into which molecular docking confirmed the strong binding of chitin oligomer (GlcNAc) 4 . Molecular dynamics simulation data (50 ns) indicated that chitin-binding site was comprised of 8 residues (DKEDRNEN). However, aspartate and glutamate significantly contributed in the stability of ligand binding. Computational findings were further verified via significant growth inhibition of Aspergillus flavus, A. niger, and Fusarium oxysporum against PsV. Additionally, the substantial adult population of Brevicoryne brassicae was reduced and different life stages of Tribolium castaneum also showed significant mortality.
    Type of Medium: Online Resource
    ISSN: 1559-3258 , 1559-3258
    Language: English
    Publisher: SAGE Publications
    Publication Date: 2022
    detail.hit.zdb_id: 2440820-7
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