Artificial intelligence (AI) is scaling rapidly in higher education globally. Considering the increasing significance of artificial intelligence in higher education (AIHEd) and the absence of a comprehensive review on it, this paper delves into the evolving landscape of artificial intelligence in higher education (AIHEd), its academic integrity and ethical concerns. The study has applied qualitative approach by using literature review as a research design and method to facilitate the aim of the study.The analysis of the paper reveals that AI has the potential to make a significant contribution to enhancing teaching and learning experiences, improving productivity and efficiency, as well as fostering inclusivity and accessibility. On the contrary, the increasing utilization of AI in higher education (AIHEd) raises the concerns about academic integrity and ethical issues, as it has the potential to lead to plagiarism, impede critical thinking, suppress creativity, and erode originality in teaching, research, and scholarship. Hence, upholding the integrity of scientific research requires a rigorous commitment to ethical and academic principles, placing human intelligence and critical thinking at the forefront of the research process. The advancement of artificial intelligence in higher education not only brings significant advantages, but also poses challenges to the fundamental principles, methodologies, standards, ethical considerations and academic integrity in both teaching and research. As a result, the primary focus should be on embracing the opportunities and benefits that arise from this advancement and effectively addressing any potential risks and challenges.

Tea is a popular drink with refreshing and functional properties. Bud, 1^st leaf, and 2^nd leaf of five varieties of tea clones (Gumti Takda-78, Ambari, Chiniya, and Tinali, which are popular in tea plantation area of Nepal) were collected and used for preparing green and orthodox black tea to study antioxidant activity, phytochemicals profile, chemical content, and sensory parameters. One or two leaves were hand-plucked from each bush to get a sample of about 100 leaves and processed for green and orthodox black tea for different clones of tea plants. Phytochemicals, antioxidant activity, and caffeine content were found higher in bud followed by 1^st leaf and 2^nd leaf for all clones of tea plants. Both types of tea (green and black) from Gumti were significantly (p<0.05) higher having tannin content, flavonoid content, total polyphenol content, caffeine content, and IC₅₀ value of 49.15 and 36.23 (mg GAE/g dry extract), 358.9 and 350.4 (mg QE/g dry extract), 590.5 and 570 (mg GAE/g dry extract), 2.85 and 2.94%, and 45.15 & 51.88 μg/mL, respectively. Green and orthodox tea from Takda-78 was found higher in caffeine content and the least in Tinali for both types of tea. Moisture, water extract, total ash, acid-insoluble ash, and crude fiber content in tea (green and black) from Gumti were found to be 5.4% & 5.37%, 65.89% & 71.46%, 5.524% & 6.52%, 0.46% & 0.57%, and 7.96% & 10.27%, respectively. The ratio of theaflavin and thearubigin (TF : TR) was found 1 : 8.61, 1 : 9.36, 1 : 9.70, 1 : 12.87, and 1 : 6.36 in Takda-78, Ambari, Gumti, Chiniya, and Tinali respectively. The total quality score in green tea (85.13%) and black tea (85.78%) from Gumti was significantly higher than others. Phytochemicals and antioxidant properties of green tea were significantly (p<0.05) higher than those of orthodox black tea for all clones of tea plant. This study suggests Gumti variety to be used in green and orthodox black tea processing for higher phytochemical, chemical, sensory quality, and antioxidant activity.

The rural out-migration for labour of Nepal is a common livelihood strategy at household level. The paper tries to assess the utilization of rural-out migrants’ remittance at household level in Khanigaun Village of Resunga Municipality, Gulmi District. The study is mainly based on primary data and utilized mixed method. The primary information collected through household survey and focus group discussions techniques. 120 sample households were selected by using purposive sampling method. The targeted households were those where at least one family member of household who are working in the foreign country or who worked foreign country and have returned now as a labour migration. The data revealed that the major bulk of remittances were used for consumption purposes. Though, household investment in business or traditional productive sectors and savings were rather small, but remittances were also seen as important financial means for investment in human capital (i.e. education, health and hygiene), housing and land purchase. The importance of the repayment of the cost of migration should not be underestimated. Finally, the study concludes that most of migrant families had improved their living standard to some extent from the remittance money so far, either they used productive or not is in the debate. Nepalese Journal of Development and Rural StudiesVol. 14 (Joint issue) (1&2), 2017, Page: 12-20

The publication of scientific paper is an integral part of the research communication process and the career in academia. In the course of scholarly writing, writing an abstract for a scientific paper is both a crucial and challenging endeavor; it should be accurately represented succinct summary of an entire document. The paper discusses the basic format with essential key components of a good abstract for a scientific paper writing and provides a basic guidelines for novice researchers and academia. The paper is based on review of scientific paper, extracted systematically from ‘Google Scholar’ search engine by using basic search strategy. In fact, the primary purpose of an abstract writing is to facilitate the communication of key findings with the readers so they can easily and quickly ascertain the gist of an entire work. More importantly, when writing an abstract, the fundamental five key components such as research context and objectives, brief outline of materials and methods, key findings, conclusion and significance/implications should be taken into account to accurately represent the entire paper.

Peer review in scholarly communication and scientific publishing, in one form or another, has always been regarded as crucial to the reputation and reliability of scientific research. In the growing interest of scholarly research and publication, this paper tries to discuss about peer review process and its different types to communicate the early career researchers and academics.This paper has used the published and unpublished documents for information collection. It reveals that peer review places the reviewer, with the author, at the heart of scientific publishing. It is the system used to assess the quality of scientific research before it is published. Therefore, it concludes that peer review is used to advancing and testing scientific knowledgeas a quality control mechanism forscientists, publishers and the public.

Nepal, a diverse and geographically varied landlocked country with a rich tapestry of cultures, and natural heritages, boasts iconic attractions such as Mt. Everest as the world’s highest peak, Lumbini as the birthplace of Lord Buddha, Pashupatinath Temple as one of the world’s most celebrated pilgrimages for the Hindus, Chitwan National Park, home to the one-horned rhino enlisted by United Nations Educational, Scientific and Cultural Organization world’s natural treasure, etc. Attracting tourists from all corners of the globe, Nepal’s unique blend of landscapes and cultural heritage has made this country a prominent destination. This research delves into a comprehensive trend analysis of tourist arrivals in Nepal from 1964 to 2023, employing the Auto Regressive Integrated Moving Average (ARIMA) model based on the secondary data employed from the Ministry of Finance, Government of Nepal. The model provides insights into past trends and forecasts future tourist arrivals, evidenced by the rigorous test using the Root Mean Square Error. The analysis employed several ARIMA models, including ARIMA (2, 1, 3), ARIMA (2, 1, 2), ARIMA (3, 1, 3), and ARIMA (3, 1, 2), with model performance assessed using criteria such as Akaike Information Criterion (AIC) and Mean Absolute Error (MAE). Findings indicate that the ARIMA (2 1, 3) model provides the most accurate forecasts compared to the other models tested. This finding has significant implications for Nepal’s tourism industry. The results underscore the importance of adopting flexible and strategic planning approaches to enhance the resilience of Nepal’s tourism sector. The study’s insights are valuable for policymakers, industry stakeholders, and researchers, contributing to the development of targeted strategies that ensure sustainable growth in the face of ongoing volatility.