Volume 11 | Issue 11 |

 Abstract

Depression is a prevalent mental health condition that can impact individuals across various age groups and backgrounds. However, farmers face an elevated risk of depression due to several factors, including financial stress, isolation, and exposure to pesticides. This study aimed to examine the prevalence of depression among farmers and its implications for mental health support. This study highlights the concerning prevalence of moderate depression among farmers and emphasizes the urgent need for targeted mental health support within this demographic. The findings demonstrate that depression is a significant issue, particularly among male farmers who face a higher risk compared to their female counterparts. Given the various stressors that farmers encounter, such as financial strain, isolation, and exposure to pesticides, it is crucial to develop and implement mental health interventions that address the unique challenges faced by this group. These interventions should not only focus on identifying and alleviating symptoms of depression but also on preventive strategies and fostering a supportive community for farmers. Based on these results, it is recommended that policymakers, agricultural organizations, and healthcare providers collaborate to establish accessible and culturally sensitive mental health Programs tailored to the specific needs of farmers. By doing so, these initiatives have the potential to mitigate the impact of depression on farmers' well-being and contribute to the overall improvement of mental health within this vital workforce. Addressing depression among farmers is not only essential for individual well-being but also crucial for the sustainability of agriculture and rural communities.

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 Keywords

Depression, Farmers, Rural community, Mental wellness.

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 Abstract

Phishing is an internet scam in which an attacker sends out fake websites or messages that look to come from a trusted source. Phishing attack is a simplest way to obtain sensitive information from innocent users. Aim of the phishers is to acquire critical information like username, password and bank account details. Many researchers have spent decades creating unique approaches to automatically detect phishing websites. Machine learning-based phishing detection systems can provide a more effective and efficient way to detect phishing attacks. It also eliminates the disadvantages of the previous method. The goal of this research is to use the dataset collected to train ML models. Traditional methods of detecting phishing attacks are not always effective because attackers can quickly create new URLs or use other tactics to evade detection. The ultimate goal of phishing detection system using machine learning algorithms is to accurately and efficiently identify phishing attacks and prevent users from falling victim to them.

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 Keywords

OCR, Decision tree, Random Forest, SVM classifiers

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In the age of sustainability, it is necessary to set a focus on low carbon footprint to build an ecological world. The conventional burnt clay brick manufacturing firing process develops 750 million tonnes of Carbon Dioxide emissions annually. Being a very fast and growing economy, infrastructure development becomes an important part of our country and so does the need for construction materials. The disasters due to climate change are not new to countries like India. According to UN Climate Change News, dated 5 July 2018, the cement industry accounts for 5-6% of global greenhouse emissions. Many advanced investigations are being done to develop construction materials; one such investigation is by incorporating microorganisms that are capable of precipitating calcium carbonate (CaCO3) which can act as a binding agent between aggregates. Microbe-induced calcium Carbonate Precipitate (MICP) process is used for the purpose. MICP is a bio-geochemical process that induces calcium carbonate precipitation. Several mechanisms have been identified by using bacteria that can induce calcium carbonate precipitation, including urea hydrolysis, denitrification, sulphate production, and iron reduction. In this study, non-pathogenic ureolytic bacteria like Bacillus subtilis are utilised to induce urea hydrolysis that can help to manufacture a brick. Bacillus subtilis can survive in alkaline environmental conditions and also it can survive both in aerobic and anaerobic conditions which makes it special to use in this particular research. It is a common soil bacterium that is also found in the intestinal tracts of humans, thus not harmful to use in construction. The brick is manufactured from different combinations of base aggregates. The steel slag is used as one of the base aggregates for brick manufacturing and the other is clay. Steel slag is a waste project from the steel industry and production in India accounts for about 12 million tonnes per annum. The amount of steel slag produced by different steel industries is 150-200 kg per tonne of steel produced. This steel slag is dumped on land and pollutes the environment. The same can be used as a method to alter a waste product to a wise product. Clay is abundantly available in India, thus making the bio-brick economical. The brick is also reinforced with naturally and locally available fibres such as jute and cocopeat. The addition of these fibres can improve the compressive strength of bio-brick. This is an eco-friendly and energy-efficient method of brick manufacturing. The compressive strength, water absorption test and efflorescence test are conducted to support the strength development in bio-brick. As well as SEM-EDX analysis was done to identify the surface morphology and elemental composition. The study was conducted using 1%, 2%, 3%, 4% and 5% reinforcement concentrations and the maximum compressive strength for jute was 30.08 N/mm2, obtained at 2% concentration, on the 28th day. For cocopeat as reinforcement, maximum compressive strength was 15.1 N/mm2, obtained at 3% concentration and at the 28th day. The water absorption for these bio-bricks was 12 % and 15 %, for cocopeat and jute respectively, with no efflorescence for any bricks.

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MICROBE INDUCED CALCIUM CARBONATE PRECIPITATION

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This comprehensive article conducts an in-depth analysis of "Karukku," a seminal autobiographical work by Bama, a Tamil Dalit Christian writer. The term "Karukku," translating to "palmyra grove," symbolizes the social and cultural confinement experienced by the Dalit community. Through meticulous examination, the article explores the multifaceted layers of Bama's narrative, unveiling themes of caste, gender, religion, and resilience. The exploration transcends literary dimensions to address broader implications in the realms of postcolonial literature, feminist discourse, and social justice movements. "Karukku" marks Bama's inaugural autobiographical endeavor, deviating from typical autobiography conventions. Arising from a specific turning point in the author's life, a personal crisis prompts Bama to scrutinize her identity as a woman, a Christian, and a Dalit. Departing from chronological presentation, Bama contemplates life events from various angles, categorizing them thematically. The book's impassioned character stems from Bama's relentless pursuit of authenticity as a Dalit and a Christian, serving as the driving force behind the narrative and infusing it with a strong polemical aspect. Breaking new ground, Bama consistently employs colloquial language, challenging established norms in upper-class, upper-caste Tamil literature.

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 Keywords

Dalit literature, Autobiography, Caste dynamics, Gender oppression, Religious identity, Resilience, Liberation, Post colonialism, Feminism, Social justice, Intersectionality

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ABSTRACT Introduction: High prevalence of preterm infants' birth is considered a serious problem in health system in recent decades. Positions of the body in preterm neonates who receive respiratory support are accounted an important factor for ventilation and tissue oxygenation. Method: Quasi experimental multiple intervention posttest time series design was adopted for this study. Sixty preterm neonates were recruited using purposive sampling technique. Each preterm baby was placed in supine, prone, right lateral poistion.to assess the physiological parameters of heart rate, respiratory rate, SPO2, gastric residual value. Result and discussion: The comparison between the observation one and two in Heart Rate using paired 't' test show significant difference (p<0.05) for supine and prone position. There is no significant difference in right lateral position. The comparison between the observation one and two in Spo2 using paired 't' test show highly significant different (p<0.001) in prone position The 't' value for the gastric residual volume of comparison between the selected body position is 36.71 which is significant at p<0.001.It indicates the gastric residual volume low in right lateral position

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no key words

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Creative Commons Attribution 4.0 and The Open Definition

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Defleur et al. (1973) discussed mass communication in their book Sociology: Human Society. Understanding how a group functions as a civilization requires an examination of many different levels of communication, one of them being mass communication. Social media is one social structure that sociologists are particularly interested in studying how it has changed over time. The subject of social media is vast and intricate. This study is a comparative study in Union Territory of Chandigarh that aims to investigate the social media usage patterns of youth (between the age category of 15-20, 21-25, 26-30, and 31-35 years), the prevalence of social media addiction, and the mental, physical and psychological health of the youth. The study also makes certain recommendations to the families and educational institutions that would assist young people in managing their addiction to social media and ultimately assist them with their mental health problems.

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social media, youth, mental health.

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Creative Commons Attribution 4.0 and The Open Definition

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Interest in plant products is growing constantly in the pursuit of novel therapeutics and therapies for the treatment of disease. Microbial resistance makes finding new antibiotic alternatives an essential topic of research. Wheatgrass is one example of a plant product that is being studied pharmacologically (Triticumaestivum L).Wheat grass, one of the members of Poaceae family, has been considered for very efficient therapeutic drugs. It contains numerous nutrients, vitamins, minerals, iron, zinc, sodium, aluminium, calcium, magnesium, amino acids, and a significant amount of chlorophyll. These bioactive substances contribute to enhanced blood sugar control, increased haemoglobin production, and the removal of toxins from the body. There are many bioactive phytochemicals that have therapeutic potential, such as anti-thlassemia, anti-cancer, anti-ulcer, antioxidant, anti-arthritic, and anti-inflammatory properties. Wheat grass is also effective in treating a number of common health issues, including circulatory, skin, and dental issues.Current study was aimed at evaluation of antimicrobial properties of wheat grass extracts of different solvents (chloroform, methanol, and water extract) at various concentration. The extracts were assayed for antimicrobial activity using diffusion test and calculating zone of inhibition for each drug. All these extracts showed antibacterial activity against different microorganisms but Methanolic extracts have shown the maximum antimicrobial activity against Escherichia coliand Pseudomonas aeruginosa.

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Wheat grass,E coli,anti-bacterial activity

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A well-known Ayurvedic plant is lavanga. Lavanga are the fragrant flower buds of a tree in the myrtaceae family with the Latin name Syzygium aromaticum. Due to its ability to balance the kappa, it is known as Lavanga.The cough, pitta, blood disorder, thirst, nausea, discomfort, hiccups, and abdominal distension are all controlled by it. Beta caryophyllene makes about 13% and 78% respectively of euginol. Eugenol, a chemical component found in cloves, is frequently used as a local anesthetic and painkiller, especially in dentistry. The best treatment for toothaches is clove oil. Natural analgesic, antiseptic, and antibacterial qualities may be found in clove oil. Some toothpastes and Clovacaine solution, a local anesthetic used to treat oral ulcers and inflammation, are made using clove oil. Clove has anti-inflammatory, anesthetic, pain-relieving, anti-viral, anti-microbial, anti-diabetic, anti-inflammatory, antithrombotic, and insect repellent qualities. The aromatic spice known as clove, Syzigium aromaticum L., is a member of the Myrtaceae family. In order to wrap off this review, we will outline the advantages and conventional uses of Clove.

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 Keywords

Cloves, eugenol, toothache , Biological activity, volatile, spice, Clove oil

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Creative Commons Attribution 4.0 and The Open Definition

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Automated and unmanned restaurant appeal has surged in recent times. Since there is no staff present, it is impossible to directly gauge what patrons think of the restaurant idea or learn about their experiences. This research provides a grading system based on pre-trained convolutional neural network (CNN) models for face expression identification. It consists of a web server, an AI server that has already been taught, and an Android mobile application. It is intended that both the cuisine and the setting be appraised. Restaurants that are both automated and staff-free are growing in popularity. It is unable to directly evaluate the opinions of the customers due to a staffing shortage, thus it is impossible to find out about their experiences with the restaurant concept. This study uses convolutional neural network (CNN) models that have already undergone training to produce a facial emotion recognition grading system. It consists of an AI server that has previously been trained, a web server, and an Android mobile application. It is intended that reviews would be left for both the food and the environment. Three expressions are now available in the grading system: neutral, dissatisfied, and satisfied.

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CNN, AI, DCNN, deep neural networks.

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Abstract The advancement of technology has revolutionized the way we communicate and exchange data. One of the key technologies that underpin modern communication networks is the Internet Protocol (IP). In this note, we will delve into the specific application of IP in Asynchronous Transfer Mode (ATM) networks, with a focus on the Bundelkhand region. Consider an IP ATM network scenario that is widely used today. In this scenario, Asynchronous Transfer Mode (ATM) is used as the backbone to provide high-speed transfer of Internet Protocol (IP) traffic. Telephone operators and Internet Service Providers (ISPs) that use ATMs as their backbone must model and specify IP traffic to plan and manage these networks to meet the specific needs of their customers. This paper describes the problem of modeling IP traffic over ATM network connections. It provides a mathematical model that can be used to capture measured data and transform this data into a format suitable for various planning and management tasks performed by grid operators.

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 Keywords

ATM , IP,

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Creative Commons Attribution 4.0 and The Open Definition