Volume 12 | Issue 7 |

 Abstract

Objective: Khashkhash (Papaver somniferum seed) is one of the important drug mentioned in Unani literature. The description of Poppy seeds is mentioned in various classical Unani books. Renowned Unani scholar Avicenna had also described poppy seeds in his famous book "The Canon of Medicine". According to Unani philosophy, Khashkhash is in the second-degree category according to its temperamental nature. Poppy seed oil is also a good source of essential fatty acids, especially linoleic acid, as compared to the other edible oilseeds. Pantothenic acid in poppy seeds was found in the greatest amount, followed by the vitamin's niacin and thiamin. Methods: Unani classical literature was searched from recent to past available in different libraries. For phytochemistry, pharmacology and preclinical studies to prove the importance computerized databases such as Medline, PubMed, Google Scholar and Science-direct were searched. All the information of plant available in Urdu, Persian, Arabic and studies published abstract were included in the study. Results: The action of Khashkhash mentioned in Unani classical literature are Mukhaddir (Anesthetic), Q?bi? (Astringent), Munawwim (Sedative), Musakkin-i-Alam (Analgesic), H?bis-i-Dam (hemostyptic), Muqaww?-i-Dim?gh (Brain tonic), Mun?ij (concoctive), Mudirr-i-Bawl (Diuretic), Mu?arrik (Stimulant), H??im (Astringent), Mubarrid (Refrigerant) etc and useful in Sahar (Insomnia), Malankh?liya (Melancholia), Nafth al-Dam (Haemoptysis), Ish?l (Purgation), Zah?r (Dysentery), Nazla (Catarrh), Su'?l(Cough), Hirqatul Math?na (Burning in bladder) etc. Papaver somniferum seed showed many pharmacological effects included Antitussive, Anti-diarrheal, Antibacterial activity, Hypoglycemic, Anticarcinogenic and Antiallodynic activity activities in different clinical and experimental studies. Conclusion: This presentation is an attempt to showcase the action, uses mentioned in Unani literature, chemical constituent and pharmacological and toxicological effects in one place. It may also be observed that the drug has many actions which may be beneficial in diseases.

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Khashkhash, Papaver somniferum seed, Unani medicine

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This compilation analyzes the application of artificial intelligence in web indexing, covering diverse sectors including crawler classifications, profound learning models, insightful frameworks, and moral contemplations. This investigation features key discoveries identifying with the viability of unique crawler sorts, the utilization of factual models for anticipating out connections, and the advancement of occasion focused looking frameworks. The audit additionally stresses the significance of clearness, pertinent data, achievability, quantifiability, and good conduct consistency in web scraping ventures. All in all, this wide ranging assessment shows the huge potential for AI to upgrade web looking and information investigation for an assortment of uses. The report incorporates both long, intricate passages and short, direct sentences to catch various points of view on this creating field.

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Crawler, CAIMANS, NLP

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Accurately predicting taxi ride durations is crucial for optimizing the efficiency of taxi dispatch systems in ride-hailing services. This research aims to develop and evaluate predictive models that estimate taxi ride durations before the start of the trip, leveraging historical ride data. Various machine learning techniques, including linear regression, K-Nearest Neighbors (KNN), Ridge regression, and Lasso regression, are explored using data from New York City taxi trips.The study aims to understand the key factors influencing ride durations and build models that can provide accurate estimates. Accurate predictions can improve dispatch decisions, reduce idle times for drivers, and decrease wait times for passengers, thus enhancing operational efficiency and service quality in the ride-hailing industry.We collect a comprehensive dataset of taxi trips, enriched with external data such as weather conditions and traffic information. The data undergoes preprocessing steps like cleaning, normalizing, and feature engineering. Key variables influencing ride durations include trip distance, pickup time, day of the week, weather conditions, and traffic patterns.The modeling approach involves developing predictive models, including a benchmark linear regression model, a KNN model, and regularized linear models such as Ridge and Lasso regression. Hyperparameter tuning optimizes model performance, and cross-validation ensures robustness. Performance is evaluated using metrics like Mean Absolute Error (MAE), Mean Squared Error (MSE), Root Mean Squared Error (RMSE), and R-squared. The linear regression model serves as a baseline, capturing some variability in ride durations but limited in modeling non-linear interactions. The KNN model improves performance by considering data point similarity, while Ridge and Lasso regression models enhance accuracy by incorporating regularization terms. Lasso also performs feature selection by setting some coefficients to zero.This study highlights the importance of feature engineering and real-time data integration. Future research should focus on integrating real-time data sources, such as live traffic updates and weather conditions, to improve prediction accuracy further. Advanced machine learning techniques, such as ensemble methods and deep learning, should be explored to capture more complex relationships in the data.Ethical considerations and data privacy are critical in the use of predictive models in ride-hailing services. Ensuring passenger and driver privacy, and maintaining transparency and fairness in algorithmic decision-making, are essential for responsible use of data-driven models.

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data science, Machine learning, Taxi duration prediction

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The empowerment of women is a major issue in India's development. Increasing women's power and establishing their dominance in the spheres of social, political, legal, financial, and economic spheres are the aims of empowerment. It also suggests that women's equal rights are guaranteed. This study paper examines the impact of microfinance on women's empowerment, with a particular focus on the Self-Help Group (SHG) Bank Linkage Programme in India. This study evaluates how well the program raises women's socioeconomic standing, decision-making ability, and sense of overall empowerment through a review of secondary data from several reports, publications, and body of current literature. The article lists achievements, identifies issues, and makes policy recommendations to improve the program's sustainability and impact. This study uses secondary data to empirically investigate the significant role microfinance plays in women's empowerment, with a focus on the Self-Help Group Bank Linkage Program (SHG-BLP).

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Microfinance, SHGs - Bank Linkage Program, Women empowerment.

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Global events such as the COVID-19 pandemic have transformed the field of study, leading to rapid changes in online courses in real time. However, this change still creates significant security and privacy issues for teachers and students. This article explores these issues, focusing on issues such as data breaches, inaccessibility, cyberbullying, and the impact of widespread data collection by edtech platforms. Investigates vulnerabilities in various online learning tools and platforms and evaluates their impact on personal privacy and security of sensitive data. Additionally, this article discusses the legal and ethical role of schools in protecting their communities and suggests best practices and strategies to reduce risk.

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Real-time Classes Cybersecurity Privacy Data Protection

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MGNREGS is the first programme in India where the government has officially made social audits mandatory (Acharya, 2010). Section 17 of the MGNREGS Act states that the Gram Sabha shall perform social audits of all works sanctioned under the MGNREGS at least once every six months (Schjodt, 2018; Aiyar et al., 2023) to ensure transparency and accountability of the programme (Dhaktode & Kumar, 2020). The results of the study indicate that most of the respondents are well-awared about the MGNREGS. Further inferential statistics drawn the inference that there exists a significant association among gender, academic qualification, and income with regards to social audit increases transparency in the MGNREGS, and at the same time, age-wise analysis reveals an insignificant association. Likewise, the study ascertains the significant association between age and educational qualification with regards to social audit determines the accountability of the Social Audit Unit in the MGNREGS, whereas demographic variables of gender and income-wise analysis indicate an insignificant association.

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MGNREGS, Social Audit, Awareness, Transparency, Accountability

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This paper explores the diffusion of innovations among the Scheduled Caste population in Mosuru Village, Andhra Pradesh. The study examines how new ideas, practices, and technologies are communicated and adopted within this marginalized community. The research employs a mixed-methods approach, combining quantitative surveys with qualitative interviews to analyze the factors influencing the diffusion process. Key findings reveal the significant roles of social networks, media access, and change agents in the adoption of innovations. The study contributes to the understanding of how targeted communication strategies can enhance development efforts in marginalized communities. The entertainment media play the major part by helping to promote a greater receptiveness to new values and an openness to change. One of the more important effects is to gradually alter the cultural climate and to introduce new values in a slow, diffuse way..

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Diffusion of innovations, Scheduled Caste, Mosuru Village, development communication, social networks.

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Creative Commons Attribution 4.0 and The Open Definition

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INTRODUCTION: Women are said to be the principle and more vulnerable group to the primary osteoporosis subcategory of Involutional Osteoporosis Type I, which occurs postmenopausal, as an outcome of low estrogen that adversely affects the trabecular bone. Reduced estrogen in the menopause causes a detrimental effect on the bonebuilding cells, which impacts the natural procedure of the bone breakdown and repair. It is indicated that age, nutrition, education level, physical movement, and weight as most common risk factors for osteoporosis. Since change in the genetic factor is impossible to yield, the presence of adjustable factor is required for sustaining bone strength and bone density that assists in mitigating the osteoporosis and fracture risk. Osteoporosis is a serious health issue among them, with more than 1.5 million women suffering from fractures as a result of the disease each year, with 44.8 percent of them suffering from hip fractures. Menopausal women are stressed by these musculoskeletal issues. The quality of a woman's life can be significantly impacted by menopause. Their health requirements vary dramatically, and it is critical for women to be aware of the increased health dangers. METHODOLOGY: The research approach was quantitative and research design was Descriptive Survey design. The setting was a village named Takiya, Sasaram, Rohtas. There was 60 post- menopausal women were chosen as sample for study. The assessment was done on a semi structured tool with three different sections. RESULTS AND DISCUSSION: The findings obtained from the study were in two parts according to analysis of bio psychosocial tool scores. 38.3% of sample are at moderate risk and 61.7% of sample are at high risk and according to analysis of fracture risk assessment tool scores. 33.3% of sample are in mild risk, 35% of sample are in moderate risk, 31.7% of sample are in severe risk.

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Biopsychosocial Problems, Fracture, Menopausal Women, Community Setiing

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BACKGROUND: In recent times humans come across various types of inflammatory conditions. These inflammatory conditions cause discomfort, pain and suffer for acute or chronic period of time. In some case these inflammatory conditions can be fatal. These inflammatory conditions badly affect the quality of life. Hence management of inflammation is much needed. The aim to design an anti-inflammatory drug is to control the inflammatory mediators that cause inflammation and to reduce the symptoms. OBJECTIVE- The objective of anti-inflammatory herbal drug is to provide natural and unconventional approach to managing inflammation in body. These herbal remedies aim to reducing pain and discomfort in body without any side effects on vital organ. These herbal remedies not only reduce inflammation but also enhance the immunity. KEY WORDS- Anti-inflammatory drugs, herbal plants, mode of action, phytoconstituents, uses RESULT- Anti-inflammatory drugs showed effective action against the inflammation and relieve the pain in the body system. Though inflammation is protective biological response of immune system to biological stimuli but the chronic inflammation may be fatal. Due to which complete intervention of inflammation is much needed. As compared to synthetic drug herbal medicine treat inflammation no side effects and is easily available, cheaper and safer option. Presence of phytoconstituents like Gingerol, Turmerones, Piperines, Curcumoids, Shagaols, Allicin, Helacin, etc. Are present in medicinal herbs. These phytoconstituents show anti-inflammatory activity. Different phytoconstituent has a different anti-inflammatory pathway. These phytoconstituents show their action on inflammation pathway by inhibiting lipo-oxygenase , cyclooxygenases, prostaglandins and arachidonic acid, etc. Common anti-inflammatory herbal plants are Ehretia Laevis Robx, Zingiber Officinalis, Piper nigrum, Allium Sativum, Arnica Montana and other plant species. CONCLUSION- Natural herbs are safe, there is no side effect of natural herbs on the body and it is better option than synthetic drugs. The phytoconstituents present in the herbal drugs show comparatively greater action than the synthetic drug

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-inflammatory drugs, herbal plants, mode of action, phytoconstituents, uses

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Analytical study of the technique of social harmony in the thinking of Dr. Bhimrao Ambedkar

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Analytical study of the technique of social harmony in the thinking of Dr. Bhimrao Ambedkar

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Creative Commons Attribution 4.0 and The Open Definition