Volume 13 | Issue 6 |

 Abstract

In the current pursuit of sustainable and eco-friendly alternatives for textile functionalization, natural plant-derived agents are gaining significant interest. This study explores the use of Manilkara zapota (sapota) latex extract as a natural antimicrobial finishing agent for 100% cotton woven fabric. Latex was extracted using conventional methods and applied to the fabric surface. The treated samples were evaluated for antimicrobial activity against Staphylococcus aureus ATCC 6538 and Klebsiella pneumoniae ATCC 4352 using the AATCC 147 (2016) qualitative method. The findings indicated that the treated fabric did not exhibit bacteriostatic zones, revealing no observable antimicrobial efficacy under the tested conditions. Despite the negative results, this study provides useful insights into the limitations and challenges of direct application of raw latex for textile finishing, highlighting the need for optimized extraction and formulation strategies.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Manilkara zapota, sapota latex, antimicrobial finish, cotton fabric, AATCC 147, natural textile treatment

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Primary dysmenorrhea is a common condition among adolescent girls, characterized by painful menstruation without underlying pathology. Non-pharmacological methods like acupressure are gaining attention due to their minimal side effects. The main Objective is To evaluate the effects of acupressure on menstrual pain among girls with primary dysmenorrhea in Renaissance University, Indore. Methods is A quasi-experimental one-group pre-test post-test design was adopted. A total of 20 adolescent girls aged 18-25 years, diagnosed with primary dysmenorrhea, were selected using purposive sampling. The Numerical Pain Rating Scale (NPRS) was used to assess menstrual pain levels before and after the intervention. Acupressure was applied to SP6 (Spleen 6) and ST36 (Stomach 36) points on both legs for 5 minutes, twice a day, for the first two days of menstruation. The mean pain score on the pre-test was significantly higher than the post-test score, indicating a reduction in pain after acupressure. Statistical analysis using paired t-test showed a significant difference in pain scores (p < 0.05).

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A study to evaluate the effects of acupressure on menstrual pain, among girls with primary dysmenorrhea in Renaissance university Indore.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This Forecasting stream flow in advance is very essential in hydrology such as any water operation and planning. Artificial Neural Network (ANN) recently applied to hydrological related areas. ANN has proven best alternative to convention methods. This study presents the application of artificial neural network to streamflow prediction of stations namely Budhwad in Pune District in Maharashtra, India. In India monsoon occurs only in June to October therefore only June to October data is used for the study. Due to variation in flow in each month therefore separate models are prepared for each month. ANN models developed with four training algorithms namely Levenberg-Marquardt (LM), Conjugate Gradient Function (CGF), Quasi-Newton's back propagation (BFG) and Gradient Descent (GD). The Results from different algorithms are compared with each other. Extreme flow prediction is universal problem to ANN. To overcome this problem one technique is implemented and found to be satisfactory in extreme flow prediction.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Streamflow Forecastingo Artificial Neural Network (ANN)o Hydrological Modelingo Monsoon Seasono Extreme Flow Predictiono Levenberg-Marquardt Algorithmo Conjugate Gradient Functiono Quasi-Newton Backpropagationo Gradient Descento Budhwad Stationo Pune Districto Maharashtrao Monthly Streamflow Modelso Supervised Learningo Water Resource Planning

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Although, DNA typing plays a decisive role in the identification of persons from blood and body fluid stains in criminal investigations, clarifying the origin of extracted DNA has also been considered an essential task in proving a criminal act. This review introduces the importance of developing precise methods for body fluid identification. Body fluid identification has long relied on enzymatic methods as a presumptive assay and histological or serological methods as a confirmatory assay. However, because the latest DNA typing methods can rapidly obtain results from very small and even old, poorly preserved samples, the development of a novel corresponding body fluid identification method is required. In particular, an immunochromatographic method has been introduced to identify saliva and semen from sexual crimes. In addition, for vaginal fluid identification, attempts have been made in the past decade to introduce a method relying on body fluid-specific mRNA expression levels. At present, the development of molecular biological methods involving microRNA, DNA methylation, and resident bacterial DNA is ongoing. Therefore, in criminal investigations, body fluid identification is an essential task for correctly applying the results of DNA typing, although further research and development are required.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Body fluid identification, Immunochromatography, DNA, RNA, Sexual assault

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The immune system is essential for protecting the body from infections and diseases. The growing interest in natural remedies for immunity boosting has led to research on various herbal combinations. This study focuses on the formulation and evaluation of an immunity booster powder incorporating Giloy (Tinospora cordifolia), Moringa (Moringa oleifera), and Lemon (Citrus limon) powders. Fresh raw materials were cleaned, shade-dried, and pulverized into fine powders. Various formulations were developed in different ratios, ensuring uniform mixing. Physicochemical parameters, such as moisture content, ash value, and pH, were assessed for the formulated powders. Phytochemical screening revealed the presence of alkaloids, flavonoids, phenolics, and saponins. The antioxidant potential was evaluated using the DPPH radical scavenging assay and reducing power assay. The formulation with equal proportions of Giloy, Moringa, and Lemon powders demonstrated the highest antioxidant activity, suggesting a synergistic effect of the combined ingredients.Index Terms - Component, formatting, style, styling, insert.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Herbal powder, Moringa, Giloy, Lemon, Immunity boosting, Phytochemical analysis, Immunomodulatory activity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This article depicts IMGPLY, a computer program as a Benefit (SaaS) stage employing a modern approach to picture control utilizing Fake Insights (AI). It grandstands five highlights: the Generative Supplant, Substance Extricate, Question Expel, Protest Recolour, and Foundation Evacuate highlights. The stage is built on Next.js and employments a receptionist for verification. The framework is open to the open, permitting both novice users and proficient clients to make upgraded pictures, the types of forms that would have as it were been accessible only utilizing sophisticated image editing software. Execution testing has been completed on all five highlights, indicating that being able to total so many picture operations on one stage and total them in a solid time outline is noteworthy. This investigation shows one strategy for democratizing picture-altering devices, fuelled by AI, and gives an insight into future possibilities with advanced research into using image processing and AI.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

This article depicts IMGPLY, a computer program as a Benefit (SaaS) stage employing a modern approach to picture control utilizing Fake Insights (AI). It grandstands five highlights: the Generative Supplant, Substance Extricate, Question Expel, Protest Recolour, and Foundation Evacuate highlights. The stage is built on Next.js and employments a receptionist for verification. The framework is open to the open, permitting both novice users and proficient clients to make upgraded pictures, the type

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

This study analyzes the financial performance of G.M. Industries, a mid-sized manufacturer of pumps and motors operating for over 15 years. The analysis focuses on assessing the company's profitability, liquidity, and solvency by examining financial data from 2019-20 to 2023-24 using ratio analysis, trend analysis, and comparative financial statements. Key findings highlight the company's improving financial health, with a strong current ratio of 2.20 in 2022-23, a gross profit ratio of 75.88% in 2023-24, and a notable net profit ratio of 48.47% in 2023-24, reflecting cost efficiency and profitability. However, the study identifies areas requiring attention, such as the declining absolute liquid ratio and fluctuating debt-to-equity ratio, which peaked at 1.04 in 2020-21, indicating periods of higher financial risk. The research provides valuable insights for management to enhance operational efficiency, improve cost control, and strengthen financial stability. By addressing identified gaps and focusing on sustainable growth strategies, G.M. Industries can continue to strengthen its market position and maintain long-term profitability.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Financial Performance, Ratio Analysis, Liquidity, Profitability, Solvency, G.M. Industries, Manufacturing Sector

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Antenatal exercises contribute significantly to the well-being of pregnant women and fetal development. The present quantitative study evaluates the knowledge of antenatal exercise among pregnant women at CHC Sanwar, Indore, MP. A total of 40 pregnant women participated in the study, with 10 participants assessed before a structured teaching program (pre-test group) and 30 assessed post-intervention (post-test group). The knowledge scores were compared using independent t-test. The post-test scores showed a statistically significant improvement, indicating the effectiveness of the teaching intervention.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

A Quantitative Study to Assess the Knowledge Regarding Antenatal Exercise Among Pregnant Women at CHC Sanwar, Indore, MP.

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

There were a total of 24 species identified during the 2022 Pre-monsoon season in the Upper Lake Bhopal insect fauna, according to the current investigation. These 24 aquatic bug species were divided into 6 orders and 21 families. The lake's site with the most vegetation contained a maximum of 23 species of aquatic insects, whereas the lake's site with the least vegetation contained 9 species. The insect fauna from the order Hemiptera dominated over Diptera.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Aquatic insects, Upper Lake, Pre-monsoon, Diversity

  License

Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The demand for cosmetics has seen a significant rise in recent times, with a multitude of individuals incorporating these products into their daily routines. Cosmetic usage is prevalent as people seek to enhance their beauty and maintain a youthful appearance. Among the various cosmetic options available, herbal cosmetics have gained popularity due to their perceived lower side effects and improved safety profile.Hair, being a prominent feature of the body, serves as a protective element. In light of this, the primary aim of this study is to develop an herbal hair serum suitable for general daily use. The formulation incorporates a blend of herbs aimed at evaluating the characteristics of the cosmetic serum and determining the optimal formulation. Three formulations (F1, F2, and F3) with varying excipient concentrations were developed and subjected to evaluation for physical appearance, pH, homogeneity, viscosity, spreadability, and stability. Results indicate that all formulations meet established standards, demonstrating favorable physical attributes and stability. Furthermore, current research underscores the effectiveness of herbal formulations in improving hair quality and consistency.

Licence: creative commons attribution 4.0

  License

Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Cosmetic, hair, herbs, formulation, effective,

  License

Creative Commons Attribution 4.0 and The Open Definition