Plants produce a diverse range of bioactive compounds making them a rich source of different types of medicines. Ornamental plants are cultivated for adornment and to enhance the appearance of houses and also for commercial purposes. However, only very few of these ornamental plant species have found to be used in medicine and only little literature exit on their chemical and biological actions. In the present study, the evaluation of antimicrobial activities and identification of bioactive compounds using TLC and GC-MS of the A. columnaris bark extract were performed. In GC-MS bioactive compounds with medicinal value were identified, such as Benzoic acid, 1H-N-Hydroxynaphth (2,3) imidazole-6,7-dicarboximide, 2-Propenoic acid, 3-(4-methoxyphenyl), 1H-N-Hydroxynaphth (2,3-d) imidazole-6,7-dicarboximi. To prove the nontoxic nature of the plant, its crude bark extract was subjected to toxicity study using human embryonic kidney cell line. It reveal that the plant is minimal toxic to the human kidney cell line so usage of appropriate level will found to be safe and also carrying out some structural modification will help in the extraction of new drugs for pharmaceutical purpose.
Dry powder injection of spironolactone was developed using lyophilization and hydrotropic solubilization method. It is fast acting medication in emergencies like refractory edema associated with heart failure and hepatic cirrhosis. The ultimate aqueous based powder prepared showed 892.85 and 378.57 times increased solubility of spironolactone with sodium salicylate and sodium benzoate as compared to its water solubility. Amongst six hydrotropic agents, the solubility was increased in the order sodium salicylate > sodium benzoate > nicotinamide > sodium ascorbate > urea > sodium acetate. IR graph showed shift of wavenumber of characteristic peaks. Lyophilization technique produced more stable product against different temperature cycles and stability parameters. Degradation was only about 0.45% at room temperature and it was more about 1.3% at higher temperatures. Haemolytic activities of lyophilized formulations observed were 8.54% to 96.85% for sodium salicylate based hydrotropic lyophilized system and 3.50 to 88.17% for sodium salicylate based hydrotropic lyophilized system.
Background and Objectives: Despite the controversies that prevail regarding the efficacy of episiotomy, it is still practiced widely around the world in various degrees of prevalence. This study aimed to identify and analyze the prevalence, clinical profile, and complications of episiotomy performed on women who delivered at the Asha’ab Obstetric Emergency Center. Patients and Methods: This was a cross-sectional study that involved women who had undergone vaginal delivery at the Asha’ab Obstetric Emergency Center, in Aden city, Yemen, between October 1, 2021, and March 31, 2022. Permission to conduct the study was obtained from the center’s administrative office. Results: During the study period, 858 women delivered vaginally at our center. Out of these, 443 women had had an episiotomy, representing an episiotomy prevalence of approximately 51.6%. These 443 women were enrolled in this study. The episiotomy was more common among primigravida women (n=362, 81.7%), followed by multiparous women (n=42, 9.5%). The most commonly associated medical disorder was anemia (n=167, 37.7%), followed by hypertension (n=33, 7.4%). Perineal pain (n=51, 11.5%) was the most frequently reported post-episiotomy complication, followed by perineal discomfort (n=32, 7.2%), wound infection (n=27, 6.1%), perineal bleeding (n=18, 4.1), difficulty in walking (n=9, 2.0%), wound dehiscence (n=3, 0.7%), and difficulty in defecation (n=1, 0.2%). Conclusion: The prevalence of episiotomy among women who gave birth at the Asha’ab Obstetric Emergency Center, in Aden city, Yemen, was higher than the World Health Organization recommendation, which is around 10% or less with acceptable obstetric evidence indicating the need. Further prospective large-scale studies are recommended to confirm the findings of this study.
Introduction: Schizotypal personality represents genetic underpinning of schizophrenia spectrum disorders; hence, it provides conceptual models for understanding psychosis as well as a scheme for high-risk group identification. The study of structure of schizotypal personality is largely confined to western societies, whereas its assessment in varied socio-cultural groups is highly required. Aim: To study the factor structure of schizotypal personality in an Indian population. Materials and Methods: A sample of 492 college students (age, Mean= 21.3, SD= 2.61) filled the Hindi translated version of 74- items Schizotypal Personality Questionnaire (SPQ). Confirmatory Factor Analysis (CFA) technique was used to test the fitness (consonance of the modeled relationships, among latent and observed variables, in the sampled population) of different schizotypal personality models, that is, two-, three-, four-, bi-, and uni-factor models. The best-fit model was also studied for Measurement Invariance (MI) across gender groups. Results: Three, four, and bi-factor models adequately fitted the data. Whereas, four-factor model was the best good-fit model. It also showed partially strong MI across gender groups. The internal consistency of total SPQ was 0.90 and of subscales ranged from 0.62 to 0.78. Men scored higher on several schizotypal facets but lower on social anxiety as compared to women. Conclusion: The factor structure of schizotypal personality in India is similar to that reported elsewhere in the world. Thus, the present study supports the generalisation of schizotypal personality construct to the Indian people.
Background and Objective: The COVID-19 pandemic affected medical care systems including stroke care, globally. In this study, we investigated the impact of the COVID-19 outbreak on stroke care in Hadramout, in terms of rate of admission, access to care, risk factors, clinical presentation, and outcome. Materials and Methods: A hospital-based cross-sectional study comparing all stroke patients admitted to Ibn-seena University Hospital (ISTH), Mukalla, Hadramout, during two periods, May 1–October 31, 2020, during the pandemic of COVID-19 (COVID-19 group), and from May 1 to October 31, 2019 (pre-COVID-19 group). Data collected from patients’ medical record files into a master sheet, and were processed by the Statistical Package for Social Sciences software. Results: There were 117 stroke patients admitted in COVID-19 pandemic in 2020, and 213 patients admitted in the same period in 2019. Stroke admission declined by 45.1% (Odds Ratio [OR]=0.30, 95% confidence interval [CI] [95% CI]: 0.22–0.42, p<0.0001) with no age and sex differences. Hypertension (HTN) and diabetes mellitus were more frequent in COVID-19 group than the pre-COVID-19 group (OR=1.74, 95% CI: 1.08–2.80, p=0.02) and (OR=1.81, 95% CI: 1.14–2, 88, p=0.01), respectively. No significant difference in other risk factors was found. Patients in COVID-19 group arrived the hospital more late than the patients in pre-COVID-19 group (OR=2.63, 95% CI: 1.64–4.21, p<0.0001). Dysphasia and altered consciousness including coma were more common in COVID-19 group compared with pre-COVID-19 group (OR=4.5, 95% CI: 2.18–9.08, p<0.0001) and (OR=3.2, 95% CI: 2.00–5.12, p<0.0001), respectively. Hospital stay was greatly reduced among COVID-19 group as compared with pre-COVID-19 group (02.9±0.31 days vs. 8.6±0.92 days, p<0.0001) Mortality rate was higher among COVID-19 group than the pre-COVID-19 group (41.9% vs. 27.2%, p=007). Conclusion: The number of stroke patients admitted during the COVID-19 pandemic decreased, they arrived late and spent shorter hospital stays while having higher rates of HTN, diabetes, and impaired consciousness with a high mortality rate.
This research aims to evaluate the optimization of network security forensic tools on virtual router (VR) traffic. The methodology used includes the selection of several forensic tools on the Windows operating system such as Wireshark, Windump, and Network Miner, with testing in a virtual network environment. Testing, includes simulating various attack scenarios to assess the effectiveness of threat detection, performance of forensic tools, and impact on network performance. The main results show that the tools have varying detection capabilities with variations in resource usage and impact on network latency. Network traffic has been successfully recorded using the Win-dump tool in the static-forensics method, the Wireshark tool and Network Miner in the live-forensics method. The evaluation results of the meta-router network forensic recording tool recommend Win-dump as a recording tool that does not burden the Windows operating system with memory usage of 1696 kb while the Wireshark and Network Miner applications are recorded at more than 20MB. Based on this research, the static forensic method which have been built with meta-router objects can be used by investigators to detect cyber attacks. Proper selection and configuration of forensic tools is critical to achieving a balance between security and network performance, and specific adjustments to network requirements can increase the effectiveness of threat detection and mitigation.
Augustine University Ilara Epe, Lagos, Nigeria
Jntua, Aicte
Banasthali Vidyapith