Volume 4 | Issue 4

 Abstract

This study examines the role of mass media in the success of the Biogas Programme in Karnataka, which focuses on sustainable energy adoption and rural development. The paper explores how various forms of media, such as television, radio, newspapers, and online platforms, have contributed to promoting and educating people about biogas technology. By sharing knowledge, raising awareness, and educating rural communities, mass media have encouraged participation and adoption. The research combines qualitative media content analysis and quantitative surveys of Biogas Programme beneficiaries, revealing that mass media have positively influenced perceptions and attitudes towards biogas, leading to increased acceptance and implementation. Challenges, such as language barriers and access limitations, are also identified. The study's implications extend globally to other sustainable development initiatives, highlighting the vital role of mass media in their success. Ultimately, the Biogas Programme's achievement is linked to effective communication through mass media, emphasizing collaboration between governments, media, and local communities for successful sustainable development.

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 Keywords

Biogas Programme. Karnataka. Mass media. Success. Sustainable energy. Rural development. Communication. Awareness dissemination. Information sharing. Energy adoption. Waste management. Environmental conservation. Television. Radio. Newspapers. Online platforms.

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Content marketing has become an increasingly crucial strategy for businesses across the board in a bid to engage their customers and foster brand loyalty. However, this exponential increase in online content has reached a point of saturation, whereby consumers are overwhelmed by the deluge of information at their disposal. This paper reviews challenges and opportunities in connection with content marketing in this age of content saturation. It highlights the role of big data in coming up with efficient content strategies that help block out the noise and get through to target audiences. Big data analytics can be utilized in analyzing consumer behavior, preferences, and trends to generate highly personalized and relevant content. The paper further reviews some big data tools and techniques for use in optimizing content creation, distribution, and performance measurement. Furthermore, it identifies and points out the successful case studies of firms that did an exemplary job in harnessing big data to improve their content marketing efforts. Indeed, the research concludes that infusing big data in content strategy formulation is not just useful; it is a requirement to maintain competitive advantage within the jammed digital marketplace.

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Content marketing, content saturation, big data, consumer behavior, personalized content, big data analytics, content strategy, digital marketing, content creation, data-driven marketing.

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AI and robotics have had good integration into disaster response and recovery over the past two years. The research paper focuses on the advancements of AI-powered robots in handling a wide array of disaster scenarios, from natural disasters like earthquakes, floods, and hurricanes to artificial crises involving industrial accidents and terrorist attacks. It reviews state-of-the-art technologies that allow robots to move through treacherous landscapes, perform search and rescue, transport medicine, and participate in restoring infrastructure. They include machine learning algorithms for real-time data processing, autonomous navigation, human-robot interaction, and multi-robot coordination. The paper also explains some challenges and limitations of AI-robotics systems, including ethics issues, logistics, and standardized protocols for deployment. We discuss how case studies and experimental results may point to the potential for AI-powered robots in transforming disaster response and recovery into life-saving and economically remedial activities.

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 Keywords

AI-powered robots, disaster response, disaster recovery, search and rescue, autonomous navigation, machine learning, human-robot interaction, multi-robot coordination, ethical considerations, deployment logistics.

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This study examines the intricate historical fabric of medieval Assam and the crucial influence Persian sources had in influencing the history of medieval period. The article centers on how Persian documents offer distinctive perspectives on the political, cultural, and social aspects of Assam in the Middle Ages, as historical strands intertwine throughout history. Through meticulous analysis, this study aims to shed light on lesser-known facets of Assamese history, revealing the nuanced ways in which Persian influence intersected with and enriched indigenous developments in the region. By exploring Persian sources, the study uncovers how Persian literary, administrative, and historical texts offer unique insights that complement and enhance the indigenous records, leading to a more comprehensive understanding of the medieval Assam. By bringing these obscured aspects to light, the research not only enriches our understanding of Assam's past but also highlights the broader implications of cross-cultural exchanges in the shaping of historical narratives.

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Assam, Persian Documents, Medieval Period, Political Dynamics

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Stock market prediction is one of the toughest tasks in finance and attracts much attention from academia and industry due to huge economic potential. Traditional econometric models dominated the field until recent developments in machine learning introduced new methodologies that capture complex market dynamics. Of these, the RF algorithm has excelled in large data volumes, the ability to model nonlinear relations, and ranking feature variable importance. The paper presents a review on the application of Random Forests in stock market prediction, covering the theoretical foundations of Random Forest, advantages over traditional methods, reviews of empirical studies proving their effectiveness, and challenges and future research directions. It synthesizes how recent literature can help researchers and practitioners use random forests to guide and improve the accuracy of predictions and robustness associated with stock market analysis.

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Stock market prediction, random forest algorithm, machine learning, finance, predictive modeling

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Present government has taken many steps to bring changes in Indian Economy. Among them Digital Banking in Rural Areas in lieu of Digital Banking is very important one. After the central government's demonetization drive, the country is moving towards cashless economy . In this venture , the Government has rightly utilized the digital India campaign to promote digitization. Recently NPCI launched the Unified Payment Interface (UPI), which is expected to make more efficiently through UPI- based-mobile apps. Apart from this opening millions of bank accounts through Jan Dhan Yojana in rural areas and linking bank accounts with Aadhar are the other effective steps taken towards the digital journey of the country.Use of smartphones and mobile is showing a steady increase and demonetization decision is revolutionary in respect of digital payments. This paper is a study to analyse the performance of various measures adopted by banks and government to implement digital banking in rural areas. And this is also an effort to focus on challenges incurred in this process. The study is conducted at Bommarabettu village of Karnataka where three nationalized banks, two co-operative societies and the Gram Panchayath together are concentrating on creating digital banking awareness in rural area. This study helps the government to overcome the problems in this course with new measures.

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Digital banking, Rural Area, Challenges

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Reproductive rights are essential for women to enjoy their human rights. These rights are centered on women's ability to make the best choices for their lives, including around the number of children they have, if any, and the spacing between their children's births. Reproductive rights include prenatal services, safe childbirth, and access to contraception. They also include access to legal and safe abortion. Abortion bans violate the rights to be free from violence, to privacy, to family, to health, and even the right to life. And bans are most devastating for people of color, young people, and marginalized communities, who already have trouble accessing health care and other needed services. Governments should trust women to know what is best for their bodies, their physical and mental health, and their lives.

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Women, Reproduction, Privacy, Right, Abortion, Act, Judiciary, Decisions.

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Creative Commons Attribution 4.0 and The Open Definition

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Food plays a very important role in our day-to-day life. With an increase in globalization quality of food decreases day by day. In most of the time various food processing is done to keep the food fresh. Various preservatives or the ingredients are added in the food so that it looks like fresh or tempting. Now most of the food is preserved with the chemicals which causes the food contamination. This contamination leads to various diseases which results that the consumer want healthy food. The people want organic food for healthy lifestyle. So, to avoid the problems associated with the food without human interpretation we need such a device which helps to determine the quality of food. There is a requirement of such a device which guide us about the hygienic food. Hence to fulfill this consumer demand we made a device that checks whether the quality of food is good or bad. This paper represents the use of various sensors in the field of the food industry. The sensors like pH sensor, gas sensor, temperature sensor help in identifying the condition of food. This system makes an effective presence in restaurants, households, small scale industries. Due to presence of harmful chemicals and microorganisms in food, food contamination will be caused which causes illness to the people. The proposed scheme addresses the chemical contamination of foods, as opposed to microbiological contamination, which can be found under food borne illness. Food poisoning occurs by harmful bacteria on food. Food poisoning can be caused by eating contaminated food with bacteria viruses, chemicals or poisonous metals such as lead or cadmium etc. and including chicken, meat, sea food, eggs, cooked rice, ham, salami, milk and all dairy foods. Bacteria and viruses are the most common cause of food poisoning. Symptoms of food poisoning include Nausea, vomiting, stomach pain feeling weak, fever etc. In order to monitor the food poisoning, the new implementation has been made by using IoT. The monitoring system is based on many embedded sensors like thermostat, odour sensor, biosensor, pH sensor which depend on the out coming electric signals or digital value of the quality factors. In proposed system the biosensor plays a vital role to detect the bacterial contamination in food sample. Based on the combination of the sensor output, quality of the food should be detected which is reported to the health center through IOT.

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 Keywords

Food freshness, Food quality, LCD, Arduino, Moisture sensor, IoT, pH sensor, Temperature sensor, Gas sensor, HACCP, FDA.

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 Abstract

On the 3rd August 2014, fighters from the terrorist group, the Islamic State of Iraq and Al-Sham (ISIS), flooded out of their bases in Syria and Iraq, and swept across Sinjar region of northern Iraq is, at its nearest point, less than 15 kilometers from the Syrian border. It is home to the majority of the world's Yazidis a distinct religious community whose beliefs and practice span thousands of years, and whose adherents ISIS publicly reviles as infidels. ISIS has committed the crime of genocide as well as multiple crimes against humanity and war crimes against the Yazidis, thousands of whom are held captive in the Syrian Arab Republic where they are subjected to almost unimaginable horrors. ISIS sought to destroy the Yazidis through killings; sexual slavery, enslavement, torture and inhuman and degrading treatment and forcible transfer causing serious bodily and mental harm; the infliction of conditions of life that bring about a slow death; the imposition of measures to prevent Yazidi children from being born, including forced conversion of adults, the separation of Yazidi men and women, and mental trauma; and the transfer of Yazidi children from their own families and placing them with ISIS fighters, thereby cutting them off from beliefs and practices of their own religious community, and erasing their identity as Yazidis. To this day the victims of this genocide await justice and this paper urges the international community to identify and prosecute the perpetrators.

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genocide, prosecution, justice, crime, trials

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The island of Sri Lanka until 1834 was divided into three kingdoms, one Tamil kingdom of the North and East, known as the kingdom of Jaffna, the central kingdom called the Kandyan kingdom and a south western kingdom of Kotte. The British unified them and administered them until the time they gave freedom to Sri Lanka in 1948. When the British left the island, they transferred power into the hands of the majority Sinhalese who denied all the basic rights to the Tamils prompting them to take up a peaceful struggle for self-determination for thirty years and then an armed struggle for the next thirty years ending with a brutal genocide of 150,000 Tamils in 2009. One of the most workable solutions to this problem of post colonialism to assert for the right to self-determination and a referendum as per internationally accepted democratic norms for a peaceful solution to settle the Tamil issue.

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Referendum, UN, Self determination, democracy, Eelam

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

????? ?????? , ????? ???????? ???????? ???????? ?????????? ?? ????????? ?????? ???????? ??????????????? ?????? ?????????. ??????? ???????? ??????, ?????? ????, ??? ?????? ?????? ??????????, ???????, ?????, ????? ???? ???????????? ????????????, ???????? ?????????? ???? ?????????, ???, ???? ???? ????????, ????????????, ????? ??????? ?????? ???????????????, ????????????? ????? ???? ?????????? ?????????, ??????????? ???? ???????? ??????? ?????????. ???????? ???????? ????????? ??????????? ???? ???????? ???????? ????? ???????????? ?????? ?????? ?????, ??????? ????? ?????, ???????????? ???? ??????????? ??????????? ???????? ?? ???? ???? ????? ,???? ?????????? ?? ???? ?????? ??????? ???? ??????? ????? ???? ??????????????? ?? ???????? ???????? ????????????? ??????? ????? ?????? ???????? ?????? ????????????. ? ?????? ???????, ???????????? ????? ???????? ???????? ???????? ??????? ?? ???????? ??????? ???? ????????????????? ????????? ?? ??? ??????????????? ???? ?????? ??, ??????? ???????? ??????????? ????? ?????? ?????? ??????? ???????, ??????, ???????? ?????? ??????????????????? ???????????, ???? ????? ??????? ???????????? ?????? ? ???????? ?????????. ???????? ??????? ?????? ??????? ???????????...

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???????? ?????????? ???????????? ???????????

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Abstract: Plant species used in the treatment of skin diseases among the indigenous communities of West Champaran district of Bihar was conducted. Thirty plant species belonging to 29 genera and 22 families were found to be used specifically in the treatment of various 11 skin diseases viz., dandruff, eczema, impetigo, leprosy, parasite, psoriasis, rash, scabies, swellings, tinea cruris and tinea versicularis. The communities use 9 plant species invariably for the treatment of all kinds of skin diseases while 4 species are exclusively used to treat leprosy. Saraca asoca plant becomes vulnerable since it is frequently used for the treatment of scabies.

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Keywords: Ethnobotany, Ethnomedicine, Medicinal plants, Skin diseases, West Champaran.

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Creative Commons Attribution 4.0 and The Open Definition

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This research paper examines the landscape of gender representation in Indian politics up to the year 2015, analyzing progress, challenges, and opportunities. Leveraging a mixed-methods approach, the study utilizes quantitative data from the Election Commission of India and the Association for Democratic Reforms, complemented by qualitative insights from parliamentary debates, case studies, and civil society initiatives. Notable findings include significant strides in local governance representation contrasted with slower progression at the national level. Challenges persist in the Indian Parliament's gender composition and the delayed enactment of the Women's Reservation Bill. Opportunities for improvement encompass legal reforms, inclusive political party practices, leadership development, technological integration, grassroots mobilization, educational initiatives, and positive media representation. The research contributes to a nuanced understanding of gender dynamics in Indian politics and proposes actionable strategies for a more inclusive future.

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Gender Representation, Indian Politics, Women in Politics, Legal Reforms, Political Parties, Women's Reservation Bill, Leadership Development, Grassroots Mobilization, Educational Initiatives, Media Representation

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 Abstract

A comparative study of The Adventures of Tom Sawyer and The Adventures of Huckleberry Finn

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EXPLORING THE EFFECTIVENESS OF INFLUENCER MARKETING IN PROMOTING BRAND AWARENESS

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This research takes the paradigm of governance a step further with an adaptive approach known as Meta-Algorithmic Governance, which optimizes dynamic systems through self-organization. The framework also contains adaptively mechanisms and real-time optimizations, providing flexible yet timely decision-making. Its effectiveness has been confirmed in computer simulations, which allow quantitative comparisons of robustness and adaptability. The real-world case analyses connect the theory of any domain to practice, uncovering troubles and success factors. Theoretical innovations, ethical approaches and practical guidelines are all notable contributions. Work in the future will focus on constant refinement, ethical integration and coordination with stakeholders, as well as keeping pace with new technologies. MAG (Meta-Algorithmic Governance) serves as a transformative force for accessible, agile and ethical governance in changing environments.

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Dynamic System Optimization, Simulation Studies, Adaptability, Ethical Governance, Meta-Algorithmic Governance,

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This paper explores the multifaceted landscape of political participation and civil society engagement in India, tracing its historical evolution and examining the diverse forms, challenges, impacts, and prospects within the country's democratic framework. Drawing upon diverse sources, the study delves into electoral behavior, grassroots activism, the role of civil society organizations, factors influencing participation, and the transformative impacts on governance and societal change. Additionally, it highlights the challenges faced, opportunities for inclusive participation, and recommendations for fostering a more participatory and equitable democracy in India

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Political participation, Civil society engagement, India, Democracy, Electoral behavior, Grassroots activism, Civil society organizations, Socio-economic factors, Governance

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Creative Commons Attribution 4.0 and The Open Definition

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The teaching profession is stressful and despite the known impact of pupil teachers' mental health on students during teaching, pupil teachers' mental health is neglected in training and selection. Good mental health is obtained and maintained by helping pupil teachers to overcome serious conflicts and frustrations. The main objective of the study was to find out mental health among pupil teachers. The Mental health inventory (MHI) by Jagdish & Srivastava (2005) used to find out the pupil teacher's mental health. For the present study, the investigator adopted a survey method and a simple random sampling technique was used to select the sample. 50 pupil teachers were chosen for this study. Percentage analysis and 't-test were used to analyze the data. There was a significant difference between male and female pupil teachers in their mental health.

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Teaching Profession, Mental Health, Pupil Teachers.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

ఆంధ్రసాహిత్య చరిత్రలో శ్రీకృష్ణ దేవరాయల కాలం స్వర్ణయుగం. సాహిత్య సమరాంగణ సార్వభౌముడైన శ్రీకృష్ణదేవరాయల సాహితీ భవనం, భువనవిజయం కవిదిగ్గజాలతో కళకళలాడింది. భువన విజయాన్ని అలంకరించిన అష్టదిగ్గజాలలో నొకడు ధూర్జటి. ఇతడు శివభక్తుడు, శివకవి, శైవమతాభినివేశమున్నా వీరశైవుడుగా మాత్రం కనిపించడు. ధూర్జటి తన కావ్యాలను రాజులకు అంకితమీయకుండా శివార్పణ గావించిన భక్తుడు. సంసారిక జీవితమందు జీవికి సుఖం లేదని అది మోక్ష సాధనకు ప్రతిబంధకమని జీవితాంతం బ్రహ్మచారిగానే ఉండిపోయారు.

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భక్తిలో భేదాలున్నట్లే భక్తుల్లో కూడా రకరకాల భక్తులున్నారు. భగవద్గీత నాలుగు విధాలైన భక్తులను పేర్కొంటున్నది.

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भारत देश हा कृषिप्रधान देश म्हणून ओळखला जातो. देशातील जवळपास 70% लोक ग्रामीण भागात राहतात आणि शेती व्यवसाय करतात. ग्रामीण भागातील लोकांचे जीवन शेती व शेतीशी संबंधित पूरक व्यवसायावर अवलंबून होते व आजही आहे. भारतीय समाजातील जातीव्यवस्था टिकवून ठेवण्यामध्ये जातीचा पारंपरिक व्यवसायही तितकाच कारणीभूत असल्याचे लक्षात येते. ग्रामीण भागात जातीनुसार निश्चित झालेला व्यवसाय करण्याचे बंधन होते. विविध जातीगटांचा व्यवसाय परंपरागत निश्चित होता व हे सर्व जातीगटांचे लोक वर्षभर शेतकऱ्यांना मदत, सेवा देत असत. यातूनच निर्माण झालेली जी व्यवस्था आहे त्याला बलुतेदारी पद्धती असे म्हणतात.

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बलुतेदारांमधील लोहार समाजाचे स्थान

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Social networking sites engage millions of users around the world. The users interactions with these social sites, such as Twitter and Facebook have a tremendous impact and occasionally undesirable repercussions for the daily life. The prominent social networking sites have turned into a target platform for the spammers to disperse a huge amount of irrelevant and deleterious information. Twitter, for example, has become one of the most extravagantly used platforms of all times and therefore allows an unreasonable amount of spamming. Fake users send undesired tweets to users to promote services or websites that not only affect the legitimate users but also disrupt the resource consumption. Moreover, the possibility of expanding invalid information to users through fake identities has increased those results in the unrolling of harmful content. Recently, the detection of spammers and identification of fake users on Twitter has become a common area of research in contemporary online social Networks (OSNs).

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fake User Detection, Online Social Network

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Creative Commons Attribution 4.0 and The Open Definition