bluuebunny/crossref_metadata_2025 huggingface dataset:
MindMate: Nurturing Mental Wellness
Authors:   Computer Engineering Department(IOT and cybersecurity including blockchain technology)  Smt. Indira Gandhi College of Engineering, Manda Rajnish
Published: May 2024

In today's challenging times, the importance of emotional well-being has never been more pronounced. With the widespread shift to remote work and social isolation from loved ones, the mental health landscape has become increasingly precarious. Addressing these pressing concerns requires proactive monitoring and intervention before issues escalate. This project will tackle these challenges head-on by introducing a user-centric mental health tracker application to promote tranquility and wellness. The primary goal is to empower users to manage daily stressors and cultivate better emotional health habits. Recognizing the varying needs of users, particularly those experiencing mental health issues, the application prioritizes simplicity and accessibility. Utilizing Java technologies, the application will boast a user-friendly interface and straightforward functionality. Upon logging in, users will be guided through questionnaires tailored to assess their emotional well-being. Based on their responses, the application will provide personalized insights and recommendations to foster mental wellness. In cases where intervention is deemed necessary, the application will facilitate access to appropriate resources, including medication and professional support. By leveraging technology to promote self-awareness and proactive mental health management, this application aims to empower users on their journey toward improved emotional well-being. Through its intuitive design and tailored approach, this mental health tracker application aspires to be a valuable companion in navigating life's challenges and promoting lasting emotional wellness. Keywords—Emotional well-being, mental health, android application, Java.
DEPRESSION DETECTION BY ANALYZING SOCIAL MEDIA POST OF USER: A REVIEW
Authors: Patil, Prof. Dhanashree
Published: May 2024

In contemporary times, identifying depression at an early stage has become a critical issue within the field of psychology. Mental health problems, notably depression, afflict a significant portion of the global population, with an estimated 300 million individuals currently affected. Leveraging the vast amount of user-generated content on social media platforms, researchers are exploring ways to utilize this data to identify potential mental health issues in users. Depression remains a pressing concern in society and a topic of ongoing research globally. Despite numerous studies attempting to understand various mood disorders such as depression, anxiety, and stress using activity logs from devices like smartphones, accurately predicting depressive episodes remains challenging. Social media analysis has emerged as a popular approach to tackle this challenge. In this paper, we propose a system for assessing depression and detecting suicidal ideation by predicting suicidal tendencies based on the severity of depression. Our study aims to develop effective machine learning algorithms for identifying potential signs of depression in individuals through their social media posts. To achieve this, we trained and tested classifiers to discern whether a person exhibits signs of depression using features extracted from their social media activities. Various machine learning algorithms were employed to train and classify users into different levels of depression on a scale ranging from 0 to 100%. Data in the form of posts were collected and categorized into depressed or non-depressed using machine learning algorithms. Our primary contribution lies in exploring a range of features and their effectiveness in detecting the degree of depression. We aim to build a deep learning model capable of categorizing users with depression by learning from individual-level labels to infer post-level labels. By amalgamating the probabilities of post label categories, we can create temporal posting profiles to classify users with depression. Our findings reveal distinct variations in posting behaviors between depressed and non-depressed users, as indicated by the combined probabilities of post label categories. In our study, we utilized natural language processing (NLP) techniques, employing the BERT algorithm, to efficiently identify potential depression indicators in social media content. This approach offers a more accessible and effective means of detecting depression. Keywords— Machine Learning, NLP, BERT Algorithm, Depression, Classification, Social Media Post.
Relationship Between Gratitude and Sleep Quality among Young Adults
Authors:   Amity University Noida, Narang, Yukti
Published: May 2024

This study investigates the relationship between gratitude and sleep quality among young adults. The objective is to understand gender differences between gratitude and sleep quality. however, there is less research that provides evidence that gratitude affects sleep quality among female and male young adults. To address this, the study aims to compare gratitude and sleep quality among male and female young adults. A correlational study with a sample (N=124) of female(N=62) and male young adults (N=62) was used. To assess gratitude and sleep quality among male and female young adults Gratitude Questionnaire (GQ-6) Pittsburgh sleep quality respectively. Online and offline responses were taken, and online data collection was done using Google Forms while offline data collection was collected from universities, institutes workplace settings. Statistical analysis revealed a moderate correlation between sleep quality and gratitude among female adults. thus, to some extent, gratitude increases young adults' sleep quality. Keywords: dispositional gratitude, sleep quality, male young adults, female young adults
Real Time Inventory Management System powered by Generative User Interface
Authors:   Smt. Indira Gandhi College of Engineering, Navi Mumbai, India, Patil Omkar
Published: May 2024

This research explores the developing a real time inventory management system powered by a generative user interface. We are leveraging large language models like GPT4, Claude 3, and Google Gemini that support tool calling or function calling, and integrating it with the modern frontend frameworks like Next js that support streaming React Server Component (RSC), the proposed system enables interaction with the inventory through natural language prompts. We are using PostgreSQL as a choice of database and server actions are used to interact with the database in real time. The system composes and renders appropriate react components based on user prompt, providing a personalized user experience. The research discusses the system's architecture, implementation, and potential impact on inventory management systems. It showcases the potential of Large Language Models (LLMs) and conversational interfaces in enhancing enterprise software user experiences. Key Words: Inventory Management System, Generative User Interface, Generative AI, Large Language Models, Conversational Interface, Natural Language Processing
CUSTOMER SEGMENTATION: IDENTIFY DISTINCT CUSTOMER GROUPS BASED ON BEHAVIOR AND DEMOGRAPHICS, ALLOWING FOR TARGETED CAMPAIGNS AND CONTENT FOR EACH SEGMENT
Authors: CHAUHAN RAJAT
Published: May 2024

In today's fiercely competitive economic climate, I see the insurance industry as having the most opportunity for growth and success. With growth rates of 70–80% and 12–15% respectively, the insurance and fast-moving consumer goods industries are the world's fastest-growing. I am attracted to this business and its potential for advancement since Life Insurance Corporation of India has given me the opportunity to work and gain experience in a highly competitive and enhancing domain. Distribution channels play a vital role in the success of many market companies that strive for a good market share by making items and services easily accessible to clients. Agents and agency holders are the only distribution channels available in the insurance market. If the correct amount of agents are employed, insurance companies such as MAX, RELIANCE LIFE INSURANCE, and TATA AIG may be able to capture an excessive piece of the market. Agents are the exclusive means by which insurance firms can disperse their benefits and goods. communicating the company's principles and goals to potential customers, particularly those from marginalized communities.
AN ANALYSIS OF INDIAN SOCIAL MEDIA MARKETING
Authors:   SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY, MISHRA AKASH
Published: May 2024

"Social media marketing" is the process by which a company promotes its website or goods using different social media sites. Marketers in India are moving quickly to seize the "new normal" opportunity. Social media has given companies a new channel to communicate with their target audience, allowing them to bypass traditional advertising middlemen and achieve unprecedented levels of success. To this day, most Indian marketers rank expanding their consumer base as their number one objective. Social media, email, and search engine marketing were the three most effective online investment channels in 2011, according to well-known Indian marketers. Half of all successful marketers think it's critical to mix social media with email marketing. This is why nearly every business on the planet is investigating social media marketing tactics. More important than "sending the message out" is the slogan "start engaging with customers" that now dominates contemporary advertising. Within consumer internet communities, "listening posts" and "dialogue hubs" are replacing the old "batch and blast" marketing role. Marketers are shifting from discrete, pure-play platforms to more integrated multi-channel strategies in order to fulfill the demands of modern customers across all devices and channels. Marketing professionals in India are making extensive use of a wide variety of platforms and technologies, including email, SMS, and social media. With the help of data on consumers' attitudes toward brand management on social media, this article will take a look at the present and future of social media marketing in India, as well as discuss its possibilities. Keywords:- Social Media , Marketing ,
A STUDY ON IMPROVING SUPPLY CHAIN USING BUSINESS INTELLIGENCE CONCERNING DHARA LOGISTICS
Authors: V GUNASEKAR
Published: May 2024

Business intelligence (BI) is software that ingests business data and presents it in user-friendly views such as reports, dashboards, charts and graphs. BI tools enable business users to access different types of data — historical and current, third-party and in-house, as well as semi-structured data and unstructured data like social media. Users can analyze this information to gain insights into how the business is performing. According to CIO magazine: “Although business intelligence does not tell business users what to do or what will happen if they take a certain course, neither is BI only about generating reports. Rather, BI offers a way for people to examine data to understand trends and derive insights.” Organizations can use the insights gained from business intelligence and data analysis to improve business decisions, identify problems or issues, spot market trends, and find new revenue or business opportunities. BI platforms traditionally rely on data warehouses for their baseline information. A data warehouse aggregates data from multiple data sources into one central system to support business analytics and reporting. Business intelligence software queries the warehouse and presents the results to the user in the form of reports, charts and maps. Data warehouses can include an online analytical processing (OLAP) engine to support multidimensional queries. “OLAP provides powerful technology for data discovery, facilitating business intelligence, complex analytic calculations and predictive analytics,” says IBM offering manager Doug Dailey in his data warehousing blog. “One of the main benefits of OLAP is the consistency of information and calculations it uses to drive data to improve product quality, customer interactions and process improvements.” Some newer business intelligence solutions can extract and ingest raw data directly using technology such as Hadoop, but data warehouses are still the data source of choice in many cases.
A Study on the Effect of Dilution on Refractive Index of Acetone
Authors:   Sri Sathya Sai Arts & Science College, L Aravind
Published: May 2024

This r study investigates the impact of dilution on the refractive index of acetone-water solutions, aiming to study the relationship between solution concentration and optical properties. The experiment involves preparing a series of acetone-water solutions with varying concentrations and measuring their refractive indices using a spectrometer. The abstract will outline the methodology employed, including the preparation of solutions, experimental setup, and data collection procedures. It will also highlight the use of refractive index measurements in describing the characteristics of solutions and their applicability in physics, chemistry, and materials science. The study's expected findings, including the possibility of departures from ideal behaviour and the relationship between solution concentration and refractive index, will be covered in the abstract. It will also stress how crucial it is to understand how dilution affects refractive index for real-world uses, like those in the food, chemical, and pharmaceutical sectors. A greater understanding of solution chemistry and optical phenomena will result from this research's insightful observations of the optical behaviour of acetone-water solutions. Key Words: optics, spectrometer, refractive index, acetone
STUDY ON THE CONSUMPTIOM IMPACT OF THE OTT PLATFORM AMONG YOUTH
Authors:   Galgotias University, SINGH VIVEK
Published: May 2024

The rise of over-the-top (OTT) services has revolutionized the entertainment industry, particularly for younger generations. The effects and habits of young people's use of over-the-top (OTT) platforms are the subject of this research. The elements that impact the engagement of youth with over-the-top (OTT) material, including accessibility, diversity of content, and affordability, are investigated in this study using a mixed-methods approach that includes surveys, interviews, and content analysis. More specifically, the study investigates how young people's attitudes and behaviors are affected by the social and psychological effects of long-term OTT use. It also delves at how OTT platforms could change the way people watch traditional media and how society is evolving. Implications for content creators, advertisers, and lawmakers are offered by the findings, which offer vital insights into the changing environment of young media consumption. Keywords: OTT platforms, youth, consumption patterns, entertainment industry, mixed-methods approach, content diversity, affordability, psychological effects, social impacts, traditional media, societal trends, media consumption.
FACTORS INFLUENCING STOCK PRICES: AN ANALYSIS OF COMPANY PERFORMANCE METRICS ON NSE
Authors: SINGH AHTESHAM
Published: May 2024

This study examines the factors that affect NSE stock values, focusing on metrics that quantify company performance. We look at a number of ratios, including price-to-earnings (P/E), return on equity (ROE), debt-to-equity (D/E), and earnings per share (EPS), to understand how they affect stock prices. The study uses quantitative approaches like regression analysis and qualitative evaluations to find out how these measures are related to stock prices. In order to provide a comprehensive analysis of stock price patterns, we also consider market sentiment and macroeconomic factors. By showing how politicians, financial analysts, and investors perceive and react to metrics of a company's performance, the findings are helpful for all three groups. Keywords: stock prices, National Stock Exchange (NSE), company performance metrics, earnings per share (EPS), price-to-earnings ratio (P/E ratio), return on equity (ROE), debt-to-equity ratio (D/E ratio), regression analysis, market sentiment, macroeconomic factors.
MARKETING STRATEGIES AND BRAND LOYALTY OF HALDIRAM IN INDIA
Authors: KUMAR AMAN
Published: May 2024

The famous Indian candy and snack company Haldiram's marketing strategies for creating and maintaining brand loyalty in the Indian market are examined in this study. The Indian snack food business is quite competitive, yet Haldiram has managed to stay at the top by combining innovative advertising with a commitment to quality and legacy. Crucial elements of Haldiram's marketing strategy include a wide range of products, excellent branding, smart pricing, extensive distribution networks, and stimulating promotional events. By appealing to consumers' sentiments through its rich history and cultural significance, Haldiram has successfully solidified its position in their hearts and minds. Through an analysis of the brand's advertising strategies and their impact on consumer loyalty, this article seeks to understand why Haldiram has maintained such a strong presence in the Indian market. The following concepts are relevant to this article: marketing, branding, cultural resonance, distribution network, promotional activities, Indian snacks, marketing, marketing strategy, and Haldiram.
THE INVESTMENT PATTERN AND BANKING NEEDS OF THE HOUSING SOCIETIES.
Authors:   SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY, yadav Bineet
Published: May 2024

THE INVESTMENT PATTERN AND BANKING NEEDS OF THE HOUSING SOCIETIES THE INVESTMENT PATTERN AND BANKING NEEDS OF THE HOUSING SOCIETIES. UNDER THE GUIDANCE OF Prof. Reji john SOB, GALGOTIAS UNIVERSITY SUBMITTED BY Bineet yadav 22GSOB2010640 MBA 2022-2024 SCHOOL OF BUSINESS GALGOTIAS UNIVERSITY ABSTRACT This study delves into the investment patterns and banking requirements of housing societies, examining their financial management practices for sustainability and growth. Through a comprehensive analysis of market dynamics, company performance, risk assessment, valuation methods, investment strategies, and portfolio management, this research aims to provide insights into effective financial decision-making within the housing society sector. • Market Analysis: The market analysis section explores the macroeconomic factors influencing the housing society sector, including demographic trends, urbanization rates, regulatory environment, and economic indicators. It assesses the demand for residential properties, rental yields, and competition among housing societies. Additionally, it examines the impact of market volatility and economic cycles on investment decisions within the sector. • Company Analysis: Company analysis focuses on the financial performance and operational efficiency of housing societies. It evaluates key metrics such as revenue growth, profit margins, asset utilization, and liquidity ratios to assess the financial health of individual housing societies. Furthermore, it examines governance structures, management capabilities, and strategic initiatives undertaken by housing societies to enhance shareholder value and mitigate risks. • Risk Assessment: Risk assessment involves identifying and evaluating various risks inherent in investing in housing societies. These risks may include market
Drivers of Sustainable supply chain for sustainable development in industry
Authors:   GALGOTIAS UNIVERSITY, Sinha Sakshi
Published: May 2024

This analysis explores the different elements that constitute sustainable supply chains used by companies as genre on the road to sustainable development across different industries. The analysis of a body of literature and empirical data is carried out by a critical objective to determine the fundamental aspects of sustainability practices. The research suggests that we should have the necessary knowledge of these drivers for the stage to be raised of the environmental responsibility, social equity and economic development. Strategies are detailed to enable stakeholders throughout industries in adopting sustainable supply chain methods. Through this process, the long-term resilience of supply chains and the sustainability of the profitable position are promoted. The results are of this type, clarifying the crucial role of sustainable supply chain in reaching the global sustainability targets and promoting sustainability model for the companies and societies all over the world. Through this research we strive to add to the already established supplies chain management literature and aid the change process management in the pursuit of sustainable development in the different industries. Result of the cocreation with this domain has brought up meaningful implications to the literature. One of the new concepts we are proposing is a dynamic setting for a three-level model serving as a tactical plan for strategic sustainable supply management. Our study has contributed a theoretical framework that distinguishes practical facts of supply chain management and is for the purposes of future research and appraisals in terms of UN 17 Sustainable Development Goals
The Impact of Real Estate Investment Trusts (REITs) on the Indian Commercial Real Estate Market: A Study of Investor Perception and Market Performance
Authors:   School of Business, Galgotias University, Nagar Gautam Buddh
Published: May 2024

The introduction of Real Estate Investment Trusts (REITs) in India has marked a significant evolution in the country's commercial real estate landscape. This paper examines the multifaceted impact of REITs on the Indian commercial real estate market, focusing on key dimensions such as liquidity, transparency, investor access, and market development. Firstly, REITs have enhanced liquidity in the commercial real estate sector by providing investors with a liquid avenue to invest in income-generating properties, thereby reducing the traditionally illiquid nature of real estate investments. This increased liquidity has facilitated capital flow into the market and stimulated transaction activity. Secondly, REITs have contributed to greater transparency in the Indian real estate market. By mandating regular disclosures and adherence to stringent governance standards, REITs have improved information symmetry between investors and property developers, leading to a more efficient allocation of capital and reduced investment risk. Thirdly, the introduction of REITs has widened investor access to commercial real estate assets. Individual investors, institutional funds, and foreign investors now have the opportunity to participate in the market through REIT investments, thereby diversifying their portfolios and potentially earning stable returns from rental income and capital appreciation. Furthermore, REITs have played a pivotal role in the development of the Indian commercial real estate market. Their presence has spurred the professionalization of property management practices, encouraged the adoption of international standards, and catalyzed the growth of ancillary industries such as real estate services and financial advisory firms.
Hybrid CNN-LSTM Model for Air Quality Prediction: A Case Study for Gurugram
Authors: Utku Anıl
Published: May 2024

One of the most important environmental problems brought about by rapid population growth and industrialization is air pollution. Today, air pollution is generally caused by heating, industry and motor vehicles. In addition, factors such as unplanned urbanization, topographic structure of cities, atmospheric conditions and meteorological parameters, building and population density also cause pollution to increase. Pollutants with concentrations above limit values have negative effects on humans and the environment. In order to prevent people from being negatively affected by these pollutants, it is necessary to know the pollution level and take action as soon as possible. In this study, a hybrid ConvLSTM model was developed in order to quickly and effectively predict air pollution, which has such negative effects on humans and the environment. ConvLSTM was compared with LR, RF, SVM, MLP, CNN and LSTM using approximately 4 years of air quality index data from the city of Gurugram in India. Experimental results showed that ConvLSTM was significantly more successful than the base models, with 30.645 MAE and 0.891 R2.
Distance Education During a Paper Shortage
Authors: Schüßler Lotte
Published: May 2024

This article examines letters and study guides sent by philosophical faculties of Nazi universities to soldiers enrolled in correspondence courses during World War II. These educational media were produced during a severe paper shortage brought about by autarky and the wartime Nazi economy. I consider the conditions surrounding paper production and soldiers’ learning materials to depict how the media circulating between universities and the front demonstrate evidence of material scarcity and economic exploitation. The brevity of the messages indicates that these media had been adapted to the material economy of the war and a scarcity of time. As I show, knowledge of the humanities was brought to the front via these media; at the same time, knowledge of an ideology was created that integrates the extraction of resources from a war of conquest into a version of German history—resources that were also required to maintain distance learning itself. The article contributes most directly to studies on the media and material practices of academic teaching and to the history of science and scholarship in the Nazi era. It also builds on recent studies on how the work of the sciences and humanities are reliant on supplies of natural resources.
Wizards at Making a Virtue of Necessity': Street Vendors in India
Authors: Naik Abhayraj
Published: May 2024

Street vending is ambivalent in India’s imagination of law, space, and self. This essay attempts to excavate street vending in India as an interstice: an enquiry directed towards how street vending is entangled with specific theoretical and ideological positions concerning culture, citizenship, commodification, consumption, globalization, legality, modernity, neoliberalism, poverty, politics, public space, and social movements. The focus of my excavation of interstitial street vending in India is twofold. First, a methodological front-staging of the interconnections between law, space and time in India. Second, an acknowledgment of the importance of revisionist accounts of Indian modernity; accounts that note emergent politics of urban space and the city while avoiding seductive binary reductionisms of public/private, inside/outside, formal/informal, legal/illegal, planned/unplanned, liberal/socialist, colonial/post-colonial, and modern/obsolete. While this essay focuses on an admittedly eclectic range of themes and categories of analysis, the hope is that the reader is nonetheless left with a sense of what is at stake and what must be considered in ongoing discussions on market reforms, public space, urbanism, informality and urban street vending in India.
Identity and Identification: The Individual in the Time of Networked Governance
Authors: Shah Nishant
Published: May 2024

The rise of digital technologies has foregrounded the individual as the unit of network and database governance. The focus on the quantified self and data subjects has resulted in an increased attention on the rights, responsibilities, and safeguards to protect the individual at the centre of data mining and regulation practices. There is an increased anxiety about how the existing safeguards and policies are inadequate to both activate and to protect the individual in the face of ubiquitous and pervasive computational practices. This paper argues that attempts at trying to extend the fold of existing policies and frameworks are inadequate because they imagine that the individual negotiating with the digital networks is unchanged. Looking at the slippage between identification and identity in the discourse around India’s biometric database governance scheme, Aadhaar, the paper shows how the very conception of the individual and the space for identity expression are changing within digital realms. It further looks at computational architecture and theory to conceptualise an indifferent digital network that is operationalised to create a self-referential system that not only excludes the individual but also creates new ways by which the individual can be controlled and regulated. In mapping the changing contexts and contours of the individual, the paper calls for new research and analysis practices for understanding the diminishing space of expression, agency, and control for individuals in networked governance systems.
Knowledge Regarding Autism among Pre School Teachers of Kathmandu, Nepal
Authors: Lamichhane Dr. Machhindra , Bagale Ms. Archana
Published: May 2024

Introduction: Autism spectrum disorders (ASD) are a diverse group of conditions. They are characterized by some degree of difficulty with social interaction and communication. The aim of study is to find the level of knowledge among preschool teacher. Methodology: Purposive sampling was taken to find out knowledge level of preschool teachers in Kathmandu. Analysis: Both descriptive and inferential statistics was used to analyze the data. Socio demographic data were analyzed using descriptive statistics Chi. Square test was used at 95% Confidence Interval where p value<0.05 be considered statistically significant to find significance of difference in level of knowledge. Chi-square test to determine the association between level of knowledge and selected demographic variables and source of information Results and Discussion: All respondents were female. The highest score was only 19. Near to one third of respondents i.e. 32.9% had poor knowledge, one fourth of respondents i.e. 25% had average knowledge on ASD and only 42.1 % of respondents had good level of knowledge on ASD. Mean score was only 10.5 in this study where the total score was 31. Conclusion: The knowledge of preschool teachers on ASD is not adequate. All most all respondents were female. Training on disability and ASD was not taken by majority respondents.
Bevordering van-werk-naar-werktransities: naar een collectieve verantwoordelijkheid op de arbeidsmarkt?
Authors: Oldenhuis G.R.
Published: May 2024

Bevordering van-werk-naar-werktransities: naar een collectieve verantwoordelijkheid op de arbeidsmarkt?

Het kabinet streeft naar een nieuwe arbeidsmarktinfrastructuur die gericht is op het bevorderen van van-werk-naar-werktransities. Uit de kabinetsplannen valt op te maken dat daarvoor in het bijzonder inspanningen worden verwacht van sociale partners en de overheid, zijnde collectieve arbeidsmarktactoren. In deze bijdrage staat deze collectieve verantwoordelijkheid voor het bevorderen van van-werk-naar-werktransities centraal. Daartoe worden niet alleen de kabinetsplannen geanalyseerd, maar ook de eerdere voorstellen tot een van-werk-naar-werkinfrastructuur, waaronder de voorstellen uit het sociaal akkoord uit 2013 en het SER-advies 2021/08 inzake het sociaaleconomisch beleid. Onderzocht wordt welke belangen gediend kunnen worden met een collectief georganiseerde van-werk-naar-werkinfrastructuur, gelet op de belangen van individuele werkgevers en werknemers en het publieke belang. Voorts wordt onderzocht of de huidige arbeidsmarkt reeds fundamenten bevat waarop deze infrastructuur kan worden opgebouwd. Tot slot wordt geanalyseerd welke aandachtspunten er zijn met betrekking tot de voorgestelde verantwoordelijkheidsverdeling voor deze nieuwe infrastructuur, mede gelet op de daarmee gemoeide belangen.
Effect of Mulching and Drip Irrigation on Water Use Efficiency and Vegetative Growth of Mango under Small Tree System
Authors: Akhtar Muhammad Naveed , Hussain Abid , Nawaz Mohsin , Fareed Adnan , Ullah Sami , Ahmad Shakeel
Published: May 2024

Mango orchards in Pakistan are mostly irrigated using the basin flood method. A considerable quantity of water is lost from basins and channels through evaporation and seepage. During 2020-21, a study was conducted at Mango Small tree system located in MNS University of Agriculture Multan to examine the effect of drip irrigation systems flow rate and mulching in a split-plot design with two treatments and four replications. Main plot treatments consisted of four drip irrigation systems: Loop, single line drippers, bubbler and double line drippers. Moreover, subplots comprised two levels of mulching: no mulch and organic mulch (hay grass). The plants were irrigated by Drip irrigation on daily basis through Loop drippers of two liters per hour liter per hour (lph), single online line drippers of four lph, bubbler of two hundred lph and double online drippers of four lph discharge capacity from November to March. The drip system at a flow rate of four lph and treated with organic mulch recorded the maximum water use efficiency (6.46 kgha-1mm-1), stomatal conductance (140, 25 mmol-1m-2s-1), sub stomatal conductance (65 mmol-1m-2s-1), leaf photosynthetic rate (6.11 mmol-1m-2s-1) and leaf transpiration rate (1.84 mgm-2s-1). The plant height and scion girth did not show significant differences with changes in water flow rate and organic mulches. The maximum soil temperature (38○ C) was recorded in the non-mulched plot. The application of organic mulches not only enhanced the water use efficiency (WUE) and transpiration rate but also improved chlorophyll contents and the number of flushes.
Detection of Pesticide Residues in Fruits and Vegetables from Multan, Punjab Pakistan
Authors: Mehar Muhammad Asjad , Hussain Abid , Ul-Haq Tanveer , Faried Nazar , Fareed Adnan , Riaz Umair
Published: May 2024

Pesticide residues are most frequently found in fruits and vegetables, which are hazardous to human health and may cause serious diseases. However, little information is available on the occurrence of pesticides in fruits and vegetables in Multan, Pakistan. A study was conducted to detect the possible pesticide residues in fruits and vegetables available at the local markets of Multan. A total of 40 fruits and vegetables were selected, and samples were collected from the local market of Multan from 2021 to 2022. Moreover, the samples were analyzed by the multi-residue pesticide scan method using gas chromatography-mass spectrometry (GC-MS) in the Central Laboratory MNS University of Agriculture, Multan. The finding of the study showed traces of Carbaryl, Linuron, and phorate which were detected in the samples of pear, lemon, and cabbage. However, this is a matter of concern that pesticide residues are detected in the samples of the market, indicating that extensive efforts are required to reduce the possible health risk of pesticides to consumers due to the residue in fruits and vegetables. It is concluded that pesticide residues should be monitored regularly on national level, and the farming community must educate about improved pesticide safety procedures, particularly the need to adhere to the pre-harvest intervals.
Assessment of Soma-Clonal Variation CP67-1026 Mutant of Sugarcane through Morphological and Molecular Procedures
Authors: Baloch Shahla Karim , Abro Manzoor Ali , Memon Zohra Fatima , Ali Muharam , Jatoi Ghulam Hussain , Khan Imtiyaz Ahmed , Khaskheli Allah Jurio , Chachar Sadaruddin , Rajpar Asghar Ali
Published: May 2024

Present studies were conducted on to assess the soma clonal variation in CP67-1026 mutant of sugarcane through methodological and molecular procedures. It was concluded that the Soma-clonal variation does occur in the procedure of reproduction of soma-clonal variants under invitro circumstances. Significant alterations among the sugarcane soma-clones for various parameters were studied. Out of which soma-clone-3 showed significantly best performance among all other soma-clones of NIA-2010 genotype of sugarcane. As this soma-clone gives desirable features like high cane yield and maximum sucrose content that could be used directly as commercial variety as other commercial varieties used at industrial level. This soma-clone will be designated with such combinations of features which to give maximum development in their sugar yield No. 3 was diverse soma-clone among all soma-clones. It was due to hereditary distinction among all the characters of soma-clones. These desired somatic clones might be used as parents in hybridization programs with other disease-resistant varieties to confer primary disease resistance, ultimately producing agronomically superior varieties in sugarcane crops.
Effectiveness of Native Insect Pollinators in Mungra (Raphanus sativus) Seed Production
Authors: Ali Mudssar , Muqadas Younas  , Fawad Zafar Ahmad Khan  , M Sarmad
Published: May 2024

Bees have been observed to be the most effective pollinators in increasing the yield of fruits and seeds in various vegetable crops. To assess the pollination efficiency of indigenous bee species for the successful pollination of mungra crops (Raphanus sativus), an experiment was carried out at the research farm of Muhammad Nawaz Shareef University of Agriculture in Multan, Pakistan. The effectiveness of the most prevalent pollinators was measured using parameters such as visitation rate, duration of stay per flower, percentage of stigma contact, as well as the percentage of pod set from a single visit and the number of seeds per pod. The results indicated that Xylocopa sp. exhibited a notably higher visitation rate and stigma contact percentage, surpassing A. dorsata and A. mellifera. When considering the effectiveness of a single pollinator visit in terms of pod set percentage and the number of seeds per pod, Xylocopa sp. emerged as the most proficient pollinator, followed by A. dorsata and A. mellifera. Additionally, open-pollinated flowers demonstrated significantly higher pod set percentages and a greater number of seeds per pod compared to self-pollinated flowers. Conserving these efficient native bee species could potentially lead to increased vegetable crop production and greater returns for farmers in other cross pollinated crops in the Punjab Pakistan.
The Application of Genomics and Bioinformatics to Recognize Soybean Pathogen Interaction in a Changing Climate
Authors: Bashir Muhammad Rizwan , Ahsan Mohyo ud Din  , Muhammad Sajid  , Ejaz ul Hassan  , Qamar Anser Tufail Khan  , Muhammad Rizwan Khurshid  , Hafiz Saad Bin Mustafa  , Ahmad Nawaz Gill  , Hafeez ur Rehman  , Iqbal Umer
Published: May 2024

The changing climate and continuously increasing global population has posed immense pressure on plant scientists to ensure per capita availability of food under scarcity of natural resources. The present circumstances also enforce to understand how rising CO2 level caused greenhouse effect in the environment which causes rise in the temperature and consequently influence the development of plant disease epidemic, to predict the genomic-based models under changing environmental conditions and to ensure continued food production. The application of genomics and bioinformatics tools are the innovative approaches to understand plant pathogen interaction and prediction that offers unique opportunities to enhance plant yield, stability in quality and production, boost the resilience of soybean to integrate resistance genes in present cultivars to sustain yield under epidemic disease conditions in abruptly changing climate. However, genomics data can be used for genomic based selections and advanced bioinformatics tools can be used to make predictions for genotype by pathogen interaction whereas it had ever been remained a great challenge to homogenize the diverse genomic data to which advanced skills and expertise are required in handling bioinformatics tools. Bioinformatics and genomics have the potential to sustain yield for food security by selection of tolerant or resistant genetic combination for disease sensitive environments as well as to facilitate for maintaining food security and mitigate the effect of inversely changing climatic conditions.
Genome-wide characterization and expression of the APETALA2 (AP2) gene family in Glycine max L. reveal its importance in cold stress responses modulated by melatonin application.
Authors: Anas Muhammad , Shafique Ikhlas , Asad Ullah Wahid Muhammad , Awais Muhammad , Imtiaz Muhammad , Amjad Ali Muhammad
Published: May 2024

The soybean (Glycine max L.) is the world's most significant oilseed crop in terms of total production and international trade. Determining the genetic composition of soybeans is essential for identifying their characteristics, enhancing crop productivity and quality, and creating sustainable farming methods. AP2/ERF transcription factors regulate the responses against biotic and abiotic factors in the plants. However, little investigation of the AP2 family has been conducted in soybean. This study aims to introduce the expression of AP2 genes. A total of 50 nonredundant AP2 genes were analyzed by using a systematic genome-wide analysis. These genes were distributed on 19 chromosomes except chromosome number 20 that have no AP2 gene. Analysis of gene structure confirmed the presence of 2-10 introns in the AP2 family. In addition to the signature AP2 domain being completely conserved, 19 other domains were discovered to be conserved in a group-specific way. Synteny analysis expressed an intensive resemblance of orthologous regions between soybean and Arabidopsis thaliana. In-silico expression study based on transcriptome data demonstrated that soybean has differential expression of AP2 genes under cold stress. Additionally, during cold stress, most of these genes had the same patterns of expression but one gene (GLYMA_13G329700) is always upregulated irrespective of stress applied to soybean. This study revealed the characteristics of the AP2 gene family in soybean and provides valuable resources for further evolutionary and functional investigations of AP2 genes in this crop plant.
STUDY THE IMPACT OF ENTREPRENEURSHIP AND INNOVATION IN THE LABOR MARKET ON ACTIVATING POVERTY REDUCTION STRATEGIES
Authors:   Business Administration Department, Al-Mustaqbal University College, Babylon, Iraq, Majeed Amjed Hameed , Fathallah Zaid Ahmed ,   Business Administration Department, Al-Mustaqbal University College, Babylon, Iraq, Jassim Hassan Mohsen ,   Business Administration Department, Al-Mustaqbal University College, Babylon, Iraq, Turki Marwa abdulkadem ,   Business Administration Department, Al-Mustaqbal University College, Babylon, Iraq, Abbas Sarah Abdul-Zahra Rasul ,   Business Administration Department, Al-Mustaqbal University College, Babylon, Iraq
Published: May 2024

The research aims to study the impact of both innovation and leadership in the labor market in eliminating or limiting... The effectiveness of this effect was studied based on various theoretical frameworks and data approved by the researched organization. The potential of innovation and entrepreneurship, as an independent variable, to serve as a catalyst for economic development, job creation, and income generation, was studied, especially in low-income communities. It also delves into the role of entrepreneurship in promoting innovation, enhancing productivity, and enhancing social mobility, all of which are necessary. To lift individuals and communities out of poverty. The data of the researched organization was analyzed for the purpose of determining whether this variable has an essential role in activating poverty reduction strategies. The researcher reached conclusions that entrepreneurship and innovation have an effective and essential role in activating poverty reduction strategies, such as creating job opportunities and supporting the national economy, as well as other logistical matters that reflect positively on the national economy. As well as supporting other sustainable development goals, such as eliminating hunger and responsible production and consumption.
KNOWLEDGE, ATTITUDE AND PRACTICE OF FOOD HYGIENE AMONG FOOD VENDORS IN LAFIA, NASARAWA STATE, NIGERIA
Authors:   Department of Nursing Sciences, Faculty of Health Science and Technology College of Medicine University of Nigeria Enugu Campus, Enugu State , Nigeria., Lokoja Rejoice Bulus , Esievo Judith Njideka ,   Department of Nursing Science, Delta University Abraka , Delta State., Ingwu Justin Agorye ,   Department of Nursing Sciences, Faculty of Health Science and Technology College of Medicine University of Nigeria Enugu Campus, Enugu State , Nigeria.
Published: May 2024

Most nations, including Nigeria, have large populations that consume street food, and most of those who would not otherwise be employed make a living by selling it. Because the majority of street sellers are underprivileged, illiterate, and care little to nothing about food safety and hygiene, serious worries about the safety of these meals have been growing. This study evaluated the actions, attitudes, and knowledge of food vendors in Lafia Town, Nasarawa State, with regard to food safety. A basic random sampling procedure was used to choose a sample of 261 respondents for a descriptive cross-sectional survey design. A methodical questionnaire was employed to gather information. Descriptive statistics (frequency percentage, mean, and standard deviation) were used to analyse the data, and Chi-square was used to test hypotheses at the 5% significance level. The research results revealed that the participants' average age was 39.20 ± 9.536. Considering the respondents' general level of knowledge, most of 234 (89.7%) have a good comprehension of the significance of safety of food. Most of respondents, or 230 (88.1%), indicated that vendors of food had a generally positive attitude on food cleanliness. The results demonstrated that the most of respondents, 163 (62.5%), practise good food hygiene. A few of the factors that the study found affected the food vendors' practices of food hygiene were: 100 (38.3), forgetting to follow food hygiene guidelines, 0 (0.0%), not having monitoring teams visit, 22 (8.4%), and not receiving regular scores to check the method of food preparation and how it is served. The respondents' attitude and knowledge levels did not significantly correlate (Fisher's exact 0.918 and p=0.338). According to the study, even though food vendors' knowledge, attitudes, and practices seemed adequate, there is still a need for all parties involved to put in place regulatory measures to guarantee that food vendors adhere to standards appropriate for the public consumption and to continuously raise public awareness of the need of observing food hygiene practices and outbreaks of food-borne illnesses, which are common in our society.
PHÂN VÙNG RỦI RO DO NẮNG NÓNG TRÊN ĐỊA BÀN TỈNH PHÚ THỌ
Authors: Lê Minh Đức  , Vũ Văn Thăng  , Lê Văn Tuân  , Đoàn Thị The  , Nguyễn Hùng Minh
Published: May 2024

Phân vùng rủi ro thiên tai đóng góp vào việc phòng chống thiên tai và quy hoạch phát triển kinh tế của khu vực. Bài báo trình bày kết quả phân vùng rủi ro do nắng nóng tại các đơn vị hành chính cấp xã trên địa bàn tỉnh Phú Thọ, dựa trên cách tiếp cận đánh giá của Ủy ban Liên chính phủ về biến đổi khí hậu (IPCC). Rủi ro do nắng nóng được xác định dựa trên ba thành phần chính là hiểm họa, mức độ phơi bày và tính dễ bị tổn thương. Kết quả chỉ ra rằng, rủi ro do nắng nóng ở tỉnh Phú Thọ phân bố cao ở phía Nam và thấp dần về phía Bắc. Rủi ro phân bố ở mức cao thuộc các xã giáp ranh với tỉnh Hòa Bình và thành phố Hà Nội, cụ thể xuất hiện ở các xã thuộc huyện Thanh Ba, Cẩm Khê, Tam Nông, Thanh Sơn, Thanh Thủy, Tân Sơn.