Repellent Activity of Extracts of Black Pepper, Black Seeds, Garlic and White Cumin Against Red Flour Beetle

Many insects are pests of standing crops and stored grains that cause lot of damage and economic losses every year. Commonly these are controlled by synthetic compounds that are unsafe for humans and environment. Certain parts of plants are used for their repellent activity against insect pests of stored grains. In this context, the present study was planned to investigate the repellent activity of extracts of black pepper, black seeds, garlic and white cumin against red flour beetle that cause a huge damage to stored food crops. Repellent activity was tested using multiple concentrations of these extracts. Results of the present study concluded that 2 plant extracts have shown effective repellent activity against red flour beetle. The most effective extract was garlic followed by black pepper in various concentrations. Both were more effective at 1.5 % concentration. It is concluded in this study that these plants are natural sources of repellent compounds and hence are a potential source of biological insect repellents

Ochrobactrum, bacillus and Enterobacter isolates of Hot Water Spring Augment the Growth of Zea Mays Seedlings

Hot springs situated at high altitudes is a kind of remarkable ecosystem for the exploration of microbial flora. It was hypothesized that hot springs can harbor bacteria with plant growth-promoting and exopolysaccharides (EPS) producing ability that can favour the growth of plants. For the investigation of this hypothesis, seven EPS producing bacterial isolates were isolated from a water sample of hot water spring of Tattapani, Azad Kashmir and characterized morphologically and biochemically. Three out of seven isolates (BE1, BN1 and BN3) showed significant production of EPS (14-15 mg / 100 ml). Growth kinetics study revealed that optimum EPS production was attained at pH 9, with fructose as a carbon source and peptone as a nitrogen source. Inoculation of these isolates caused augmentation in seed germination (27-38 %), shoot length (27-35 %), seedling length (10-14 %), number of roots (12-25 %) of Zea mays (variety-MMRI yellow) seedlings and significant rise in auxin (28-51 %) and soluble protein content (50-68 %) as compared to non-inoculated treatment. Alcian blue staining unveiled the good colonization potential of these isolates on inoculated roots. Bacterial isolates were identified as Ochrobactrum intermedium (BE1), Bacillus pumilus (BN1) and Enterobacter cloacae (BN3), respectively through 16S rRNA analysis. Bacterial strain BN3 showed promising results for plant growth promotion along with EPS production. Fourier-transform infrared (FTIR) spectroscopy of EPS produced by strain BN3 revealed the complex composition of EPS. We concluded that hot springs can be the possible home for EPS producing bacteria with plant growth promotion capability

Identification and Characterization of Active Ingredient Eugenol from Syzygium Aromaticum (Clove Oil) through HPLC and its Phytochemical Analysis

Clove, Syzygium aromaticum, is one of the most valuable, ancient and premium essential oil which has been used as source of spice in agro-food industry and therapeutics for centuries. The aim of the present study was to analyze biological activities of clove oil as well as characterization of its active component Eugenol to make it worthwhile for different food and pharmaceutical formulations. Clove oil extraction was performed by Soxhlet method. Its phytochemical analysis showed the presence of carbohydrates, flavonoids, coumarins, steroids, saponnins, and tannins while proteins and leucoanthocyanins were absent in it. DPPH (2, 2-diphenyl-1-picrylhydrazyl) scavenging assay was performed which showed an increase in percentage inhibition with an increase in concentration of clove oil which confirmed its antioxidant property. Antimicrobial activity of clove oil was tested against three gram positive strains Bacillus subtilis, Staphylococcus aureus and Bacillus thuringiensis and one gram negative strain Escherichia coli by well diffusion and disc diffusion methods. E.coli presented largest zone of inhibition. T-test was applied for statistical analysis of antimicrobial activity. P-value obtained was 0.0215 which is ˂0.05. Aqueous clove nanoparticles were made and were found to have antimicrobial activity against E.coli and B.subtilis. Correlation coefficient (R2) through HPLC was found to be 0.973531. Quantitative estimation showed the presence of 740 ppm eugenol. These properties of clove proved it as a valuable spice in pharmaceutical and agro-food sector

Perception And Attitude Towards COVID-19 Vaccine: A Cross-Sectional Study From Pakistan

ABSTRACT Objective: The aim of this study was to investigate the awareness regarding COVID-19 vaccines and identify the factors underlying refusal. Methodology: A cross-sectional study was carried out amongst the general population from different walk of life regarding awareness and myths about COVID-19 vaccine selected by convenient sampling method. To collect data, we developed an online survey using questionnaires regarding beliefs and myths about vaccination. The study was started in March 2021 after approval from the ethical committee. Survey consisting of several questions was created using google form. The link was shared on different social media applications and participants were requested to fill the questionnaires. Some patients and their attendants who were visiting HIT hospital Taxila for any reason were also included in the study and they were requested to fill the form at the spot. Participants were given a brief summary of the survey and its purpose, as well as the study protocol and a declaration of confidentiality and privacy, before beginning the questionnaire. Data was collected on online server form. Demographic information was noted. They were asked about their registration, vaccination status and their fear regarding vaccine and its complications. They were questioned about myths and misbeliefs about covid 19 vaccine. Post vaccination symptoms, their preference for different types of available vaccine, and need of booster dose were also inquired. Their beliefs regarding effectiveness of vaccine in prevention of covid-19 symptoms and severity and following the SOPs released by health authorities were noted. Results: Total 287 individuals were included in this study. 62% were females and 31% were males. 50% were doctors and 30% were not registered for vaccination. 70% of individuals were vaccinated and 83% were not afraid to get vaccination while 50% of people thought that they will get COVID-19 after vaccination. 35% participants were afraid that they will get allergic reaction post vaccination and 9% thought that COVID-19 is fake i.e., there is no such disease as COVID-19. 82% were aware that they will need vaccine even if they had COVID-19. Only 7% of population thought that COVID-19 will change their DNA. Chi square test was applied to find out statistically significant difference in opinion between three groups i.e., age, gender and academic qualification. Majority of the statistical correlation was found in these questions on the basis of qualification. There was statistically significant difference in opinion depending on academic qualification, health care and  non-health care workers shown by p value less than 0.05. Health care professionals think there is need for new vaccinations for every new variant, there were mild covid symptoms post vaccination and there was need of booster dose every year while others have contrary opinion. Medical students didn’t believe in DNA alteration. Their was also statistically significant difference in opinion between male and female gender. Most female participants believe that there was requirement of new vaccine for every new variant, there were more chances of covid after vaccination and they need booster dose every year to prevent covid while males have opposite opinion. Majority of the post vaccination symptoms were observed in femaleswhile male observed pain on the injection site only Conclusion: Awareness and education of general population regarding safety, efficacy and benefits of covid-19 vaccination is the cornerstone of the path to eradicate this pandemic. Different platform of social, print and electronic media plays a pivotal role in this regard. However, the importance of health authorities, religious scholars, social activists and politicians in creating awareness cannot be denied either. Collectively all these factors attribute towards the COVID free Pakistan. Key Words: COVID-19, vaccine hesitancy, Pakistan, public awareness, myth

Novel Stimuli-Responsive Pectin-PVP-Functionalized Clay Based Smart Hydrogels for Drug Delivery and Controlled Release Application

Stimuli-responsive drug delivery systems are urgently required for injectable site-specific delivery and release of drugs in a controlled manner. For this purpose, we developed novel pH-sensitive, biodegradable, and antimicrobial hydrogels from bio-macromolecule pectin, polyvinylpyrrolidone (PVP), 3-aminopropyl (diethoxy)methyl silane (3-APDEMS), and sepiolite clay via blending and solution casting technique. The purified sepiolite (40 um) was functionalized with 3-APDEMS crosslinker (ex-situ modification) followed by hydrogels fabrication. FTIR and SEM confirmed crosslinked structural integrity and rod-like morphology of hydrogels respectively. The swelling properties of hydrogels could be controlled by varying the concentration of modified clay in pectin/PVP blends. Moreover, the decrease in pH increased the swelling of hydrogels indicating the pH-responsiveness of hydrogels. All hydrogels were degraded after 21 days in phosphate buffer saline pH 7.4 (human blood pH). In-vitro cytotoxicity against 3T3 mouse fibroblast cell line analysis confirmed cytocompatibility of all hydrogels. Ceftriaxone sodium (CTX-S) was selected as a model drug. The release profile of the hydrogel showed 91.82% release in PBS for 2 h in a consistent and controlled manner. The chemical structure of the drug remained intact during and after release confirmed through UV-Visible spectroscopy. Overall, these hydrogels could be used as potential scaffolds for future biomedical applications

Improvement of Abiotic Stress Tolerance in Plants with the Application of Nanoparticles

Plants are under the threat of climatic changes and there is a reduction in productivity and deterioration in quality. The application of nanoparticles is one of the recent approaches to improve plant yield and quality traits. A number of nanoparticles, such as zinc nanoparticles (ZnO NPs), iron nanoparticles (Fe2O3 NPs), silicon nanoparticles (SiO2 NPs), cerium nanoparticles (CeO2 NPs), silver nanoparticles (Ag NPs), titanium dioxide nanoparticles (TiO2 NPs), and carbon nanoparticles (C NPs), have been reported in different plant species to play a role to improve the plant physiology and metabolic pathways under environmental stresses. Crop plants readily absorb the nanoparticles through the cellular machinery of different tissues and organs to take part in metabolic and growth processes. Nanoparticles promote the activity of a range of antioxidant enzymes, including catalase (CAT), peroxidase (POD), and superoxide dismutase (SOD), in plant species, which in turn improve the growth and development under stressful conditions. The present review focuses on the mode of action and signaling of nanoparticles to the plant systems and their positive impact on growth, development, and ROS scavenging potential. The appropriate elucidation on mechanisms of nanoparticles in plants leads to better growth and yields under stress conditions, which will ultimately lead to increased agricultural production

An Augmented Artificial Intelligence Approach for Chronic Diseases Prediction

Chronic diseases are increasing in prevalence and mortality worldwide. Early diagnosis has therefore become an important research area to enhance patient survival rates. Several research studies have reported classification approaches for specific disease prediction. In this paper, we propose a novel augmented artificial intelligence approach using an artificial neural network (ANN) with particle swarm optimization (PSO) to predict five prevalent chronic diseases including breast cancer, diabetes, heart attack, hepatitis, and kidney disease. Seven classification algorithms are compared to evaluate the proposed model's prediction performance. The ANN prediction model constructed with a PSO based feature extraction approach outperforms other state-of-the-art classification approaches when evaluated with accuracy. Our proposed approach gave the highest accuracy of 99.67%, with the PSO. However, the classification model's performance is found to depend on the attributes of data used for classification. Our results are compared with various chronic disease datasets and shown to outperform other benchmark approaches. In addition, our optimized ANN processing is shown to require less time compared to random forest (RF), deep learning and support vector machine (SVM) based methods. Our study could play a role for early diagnosis of chronic diseases in hospitals, including through development of online diagnosis systems

Cushing syndrome in children: Pathophysiology, clinical features, diagnostic and therapeutic strategies

A rare condition called Cushing disease causes increased morbidity or mortality. Therapeutic methods such as anti-cortisol medications, bilateral adrenalectomy, or radiation procedures may therefore be required to prevent long-term dangers of hypercortisolism, such as hirsutism, moon face, facial plethora, and obesity. Endogenous hypercortisolism increases the risk of cardiovascular metabolic symptoms, osteoporosis, respiratory diseases, psychological difficulties, and infections while also having a high rate of morbidity or mortality. Significant fetal and mental complications during pregnancy are linked to Cushing syndrome. Early detection and treatment are essential. Except in the late trimester, surgery is the preferred method of treatment for Cushing syndrome during pregnancy, with medication therapy as a backup. Cushing syndrome is an endocrine illness that presents differently from other endocrine disorders, making it difficult for doctors to control