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Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Decentralized networks are replacing centralized hierarchies. In other words, online payments strictly [P2P] could be transmitted directly from one party to another without passing through a banking institution. While digital signatures help, a trusted third party is still essential to prevent double-spending. This paper offers a peer-to-peer network solution with Gander. The network timestamps and transactions are processed by hashing them into a continuing chain of hash-based proof-of-work, establishing an irreversible record. The sequence of events the computational power of the CPU can be considered as evidence. Here, the chain or the network controls the computational power, ensuring protection from hackers as it is structured. While there are many other coins available in the market, we propose “Gander” based on Scrypt algorithm and list out the technical and realistic utility of Gander Coin in this Whitepaper.

Sustainable agricultural development is a global imperative, given the growing challenges of climate change, resource depletion, and increasing demand for food. This research paper examines the role of Farmer Producer Companies (FPCs) in fostering sustainability in agriculture. FPCs are emerging as pivotal entities that bridge the gap between traditional farming practices and modern sustainable agriculture. This paper investigates the impact of FPCs on enhancing farm productivity, promoting environmental conservation, and improving the socio-economic conditions of farmers.

The non-banking financial sector of the Indian economy plays a significant role in growth and development of the nation. This paper attempts to examine the performance of the non- banking financial sector in the financial years of 2017-2018 and 2018-2019 in terms of expansion and profitability and also analyse the contribution of these companies to other sectors through credit deployment. This would help one understand the contribution of non- banking financial sector to the Indian economy as whole. This paper also attempts to understand the impacts of COVID-19 pandemic on the said sector and understand the predict the situation of NBFCs in the near future. The paper highlights the above by using secondary data extracted from Reserve bank of India publications as well as by various other government and private papers. This paper also looks as the direct and indirect effects of various government schemes on the performance of NBFCs.

This scientific paper focuses on the establishment of the Smriti Upvan Green Campus at AIIMS Bhopal, highlighting the steps taken to transform the campus into an environmentally sustainable and eco-friendly institution. The paper discusses various initiatives undertaken, including rainwater harvesting, waste management, wastewater treatment, green infrastructure development, promotion of green cover, achieving zero-waste status, and the adoption of renewable energy sources. These measures address water scarcity concerns, manage organic waste, conserve water resources, enhance transportation systems, promote biodiversity, and reduce energy consumption. The successful implementation of these steps showcases the commitment of AIIMS Bhopal toward creating a sustainable and green campus.

Traces of cultures and societies maintaining ‘order’ within their communities can be found in history. Today, there is an increasing discussion around the idea of a ‘New World Order’ - a concept which was first indirectly proposed in 1918 by President Wilson in a speech where he was iterating the importance of an international post-war system enabling collective security and cooperation among nations. Post that, the New World Order was greatly re-defined in the Cold War and post-Cold War era by the likes of Gorbachev and Bush. This research paper conducts a thorough critical analysis of the New World Order with a particular focus on the role of multilateral diplomacy in further enforcing this. The latter part of the paper evaluates the role of India - the largest democracy and most populated country - in facilitating this New World Order through their various bilateral agreements and initiatives in the space of international trade, climate change, security and sustainability and reduction of the gap between developing and developed countries.

Financial institutions have been ambivalent with their approach towards adopting artificial intelligence (AI), following its rise in the 2010s. However, there are various areas where artificial intelligence could be applied in the finance industry which can reduce the problems faced by the unbanked and underbanked population. Furthermore, this paper specifically focuses on the application of Artificial Intelligence towards achieving financial inclusion for the unbanked and underbanked population. There are various challenges such as no credit history, lack of access to credit, lack of access to financial services and lack of personalized financial services. The paper seeks to address the problem and propose the solution for the same with the help of Artificial intelligence. First, the many components of the technology—including its background, operation, traits, SWOT analysis, and broad applications—are discussed. Secondly, the various efforts and initiatives by the different financial institutions and tech companies. Further, an overall overview on the Finance Industry is analyzed, wherein the structure and drawbacks of the existing system is elaborated. In the last section, an artificial intelligence-based solution has been proposed to solve the problems of the unbanked and underbanked population. Therefore, a strategic solution to an evident problem has been conveyed through this research and it poses a practical significance.

This paper attempts here the basic sympathetic of BIG DATA in addition to its worth to organizations as of Performance viewpoint. Together thru introduction of big data, the significant parameters as well the attributes that make emergent models attractive to organizations have been tinted. This document likewise evaluates differentiation in challenges faced through miniature organizations while likening to small or large-scale operations plus the dissimilarity in their approach and dealing with big data. A number of submission examples of completion of BD crosswise manufactures changeable in strategy, the product then process has accessible. The next part of the paper deals with the technological aspect of design for its performance in organization. Meanwhile, Hadoop is the company with the details of the variety of components. Additionally, each one of the components of architecture has been in use and is described in the feature.

Aquaculture is not thriving in Africa, as it is in Asia (FAO, 2020). The situation in Nigeria is typical of many countries in Africa – sporadic attempts at fish farming which rarely develop into large-scale and sustained production. Nigeria has a very high growth potential for aquaculture development (Ozigbo, et al, 2014; FAO, 2017), especially in the coastal regions, including the Niger Delta. The country’s 853km extensive coastline, 1,010,000ha of perennial swamp, 12,500,000ha of fresh water, 79,100,000ha of landmass, 741,509ha of brackish water, and 48,695ha of marine water suitable for aquaculture, remains largely untapped (Anetekhai, 2004). There are several studies of the problems faced by fish farmers in Nigeria preventing their successful expansion (Adewumi and Olaleye, 2010; Ajana, 2007; Ugwumba and Orji, 2007; Ozigbo et al, 2014; Spauldings et al, 1997, FAO, 2017; Adedeji and Okocha, 2011, Adewumi, 2015), but few studies have concentrated on the role of governance in dealing (or failing to deal) with these problems. This paper seeks to fill this gap by critically examining the place of governance in relation to the country’s aquaculture industry. The paper focuses on fish farming in the Niger Delta where the situation is particularly bleak. The obstacles to the growth of aquaculture in the Niger Delta that are most often discussed are environmental, economic, educational, and scientific, but lack of governmental understanding of the industry and weak political will are critical factors in preventing sustainable solutions to these problems being implemented.

Purpose: Chronic kidney disease is an ailment with complete loss of kidney function. Due to chronic illness, the patients’ Quality of Life gets affected significantly. In addition, it may cause mental health issues and death anxiety. The burden of care experienced by the relatives is enormous. They may require counselling and emotional therapy. The main aim of this study was to collect information about an existing topic on chronic kidney disease. This may be useful for patient and caregiver education on reducing death anxiety. Objective: The objective of this particular research paper was to offer a good and thorough explanation of quality of life, and death anxiety among chronic kidney disease patients. The main objective was to review select literature related to terminally ill patients suffering from chronic kidney disease. Design/Methodology/Approach: The information used here are from several credible authoritative results of few clinical studies which were used mainly from journal articles. A secondary source of data has been used. Finding/Result: The results from reviewing several literatures showed most of the patients had poor quality of life. Family members experienced burden of care. Most Chronic kidney disease patients had mild, to severe level of Death Anxiety. Originality/Value: All of the clinical information was collected from trustworthy, scientific sources and was logically organized in this paper. It is presumed that this paper will be useful not only to medical staff but also the relatives of the patient.

The COVID-19 pandemic had a remarkable impact on global financial markets around the world. It is a tragedy for advanced industrial world. The pandemic also disrupted the world supply chains. The era of globalization as we once knew it could come to an end due to the dawn of a new era being seen by the entire world. The world must re-evaluate how to pick up where it left off after COVID-19. The Industrial world also was impacted by COVID-19 Pandemic. The main objective of this paper is to give an overview of literature on effects of pandemic on financial markets in India. This paper analyses and identifies the numerous ways in which the pandemic affected financial markets, including direct effects on firm fundamentals, shifts in investor sentiment, and governmental and central bank policy responses. We also talk about how the pandemic would affect the liquidity, volatility, and efficiency of the financial markets. The study finishes by highlighting possible research areas on how pandemic affected financial markets.

The rapid expansion of the e-commerce industry has given rise to a pressing issue known as Return to Origin (RTO) fraud. This fraudulent activity involves the intentional abuse and misuse of the Return to Origin process by dishonest individuals who are a part of this process during the reverse logistics to exploit e-commerce platforms. This research paper aims to provide a detailed analysis of RTO fraud in the e-commerce industry. It examines the various types of RTO fraud, investigates the underlying reasons for its occurrence, explores its impact on consumers and businesses, and suggests preventive measures to mitigate this problem. By shedding light on this issue, this paper aims to assist e-commerce platforms, consumers and the customers in effectively combating RTO fraud and creating a safer and more secure reverse logistics process.

Cloud security is also called cloud computing security. It is the set of technologies and applications which includes hardware, software, and application. The field is closely related to database security, network security, etc. Cloud security is very close to computer security, IT security, or information security. Day by day the IT infrastructure becomes a common need of every individual and organization so the security aspect is an important concern in this regard. Cloud computing security is controlled by different methods Such as Authentication and Identity, Data Encryption Information integrity and Privacy, Availability of Information (SLA) etc. Today cloud computing is used in both the industrial field and academic fields. This paper talks about various areas of security in the basic sense. The paper also talks about Security problems related to the Cloud. This paper mainly introduces the concept of cloud security, and cloud security solutions are discussed.

Chat technologies have gained significant attention in recent years due to their ability to automatically generate charts and graphs from raw data. These frameworks use manufactured insights (AI) and machine learning (ML) calculations to convert complex datasets into outwardly engaging visual representations. This paper provides a comprehensive review of the state-of-the-art in chatbot technologies, discussing their underlying techniques, applications, strengths, limitations, and future directions. Furthermore, we give a comparative analysis of a number of well-known Chatbot systems, emphasizing their salient characteristics and performance indicators. The findings of this review paper contribute to a better understanding of chatbot technologies and provide guidance for researchers, developers and end-users in this rapidly evolving field.

Climate change and its physical consequences are currently among the most discussed topics within the global change academic community. The issues of climate change mitigation, adaptation, and resilience are thoroughly researched, both in terms of institutional and community measures and requirements, as well as in terms of potential impact at different spatial scales. This paper emphasizes that, along with the physical impact, the psychological effects of climate change and the psychological drivers of engaging in climate activism should also be considered to build individual resilience in a dynamic environmental context. The psychological impact is a significant dimension of human vulnerability to climate change, shaping people's perceptions, responses, and coping capacity. The paper focuses on the psychological consequences of climate-related events in an Eastern European context, through a series of 23 semi-structured interviews conducted in Romania, between October 2022 and July 2023. The results highlight people's concerns about climate change and the fact that they perceive information as a key factor in reducing climate anxiety.

This study explores different studies to find out the chemical composition of steelmaking slag produced in electric arc furnace. The statistics in this study is gathered from a thorough review of the several papers in the literatures related to chemical composition of electric arc furnace slag. For this purpose, the paper represents data found from different study and includes data from a steelmaking plant in Bangladesh. Then an investigation is carried out focusing on the chemical compositions of different slags from different parts of the world. The paper finds the huge variability in chemical compositions of different slags under study or the same found from different studies. It is well understandable that chemical composition affects the properties of slag and the properties dictate the applications of the slag. This study has revealed the unique characteristic of electric arc furnace slag that the chemical compositions of these types of slags have lots of variations even between the batches of production in the same plant. It can also be concluded that all EAFS behave very differently, depending on their chemical composition, and must be treated and studied individually. This inherent variability of EAFS offers a vast area for researchers to study.

The potential of converting visual information from images into text data spans various domains, from accessibility services to content indexing and search. This research paper examines Image-to-Text conversion, exploring its advancements, challenges, and applications. We delve into cutting-edge techniques, such as computer vision, deep learning, and natural language processing, which are pivotal in this field. Our study offers a comprehensive overview of existing image-to-text technologies, revealing their mechanisms and limitations. We analyze real-world cases where image-to-text conversion has been transformative. Furthermore, we address ethical concerns and potential biases linked to this technology. Additionally, we spotlight future research prospects in image-to-text conversion, focusing on accuracy, scalability, and multilingual support. We emphasize the importance of crafting inclusive and accessible solutions that cater to diverse user needs. In conclusion, this paper serves as a valuable resource for researchers, practitioners, and technologists interested in unlocking the potential of image-to-text conversion, fostering innovation, and enhancing accessibility in our increasingly visual digital landscape.

The COVID-19 pandemic had a remarkable impact on global financial markets around the world. It is a tragedy for advanced industrial world. The pandemic also disrupted the world supply chains. The era of globalization as we once knew it could come to an end due to the dawn of a new era being seen by the entire world. The world must re-evaluate how to pick up where it left off after COVID-19. The Industrial world also was impacted by COVID-19 Pandemic. The main objective of this paper is to give an overview of literature on effects of pandemic on financial markets in India. This paper analyses and identifies the numerous ways in which the pandemic affected financial markets, including direct effects on firm fundamentals, shifts in investor sentiment, and governmental and central bank policy responses. We also talk about how the pandemic would affect the liquidity, volatility, and efficiency of the financial markets. The study finishes by highlighting possible research areas on how pandemic affected financial markets.

Cloud security is also called cloud computing security. It is the set of technologies and applications which includes hardware, software, and application. The field is closely related to database security, network security, etc. Cloud security is very close to computer security, IT security, or information security. Day by day the IT infrastructure becomes a common need of every individual and organization so the security aspect is an important concern in this regard. Cloud computing security is controlled by different methods Such as Authentication and Identity, Data Encryption Information integrity and Privacy, Availability of Information (SLA) etc. Today cloud computing is used in both the industrial field and academic fields. This paper talks about various areas of security in the basic sense. The paper also talks about Security problems related to the Cloud. This paper mainly introduces the concept of cloud security, and cloud security solutions are discussed.

The rapid expansion of the e-commerce industry has given rise to a pressing issue known as Return to Origin (RTO) fraud. This fraudulent activity involves the intentional abuse and misuse of the Return to Origin process by dishonest individuals who are a part of this process during the reverse logistics to exploit e-commerce platforms. This research paper aims to provide a detailed analysis of RTO fraud in the e-commerce industry. It examines the various types of RTO fraud, investigates the underlying reasons for its occurrence, explores its impact on consumers and businesses, and suggests preventive measures to mitigate this problem. By shedding light on this issue, this paper aims to assist e-commerce platforms, consumers and the customers in effectively combating RTO fraud and creating a safer and more secure reverse logistics process.

Climate change and its physical consequences are currently among the most discussed topics within the global change academic community. The issues of climate change mitigation, adaptation, and resilience are thoroughly researched, both in terms of institutional and community measures and requirements, as well as in terms of potential impact at different spatial scales. This paper emphasizes that, along with the physical impact, the psychological effects of climate change and the psychological drivers of engaging in climate activism should also be considered to build individual resilience in a dynamic environmental context. The psychological impact is a significant dimension of human vulnerability to climate change, shaping people's perceptions, responses, and coping capacity. The paper focuses on the psychological consequences of climate-related events in an Eastern European context, through a series of 23 semi-structured interviews conducted in Romania, between October 2022 and July 2023. The results highlight people's concerns about climate change and the fact that they perceive information as a key factor in reducing climate anxiety.

Urbanization is not just about an unnatural increase in population, it reflects the deeper social transformation such as restructuring economies, new politics, different livelihoods, and developing infrastructure by considering people who migrate. On one side, Nations across the world are struggling to tackle climate change. On the other side, developing nations like India, with a huge population, result in over-exploitation of resources, thus evolving the uncontrollable change to the climate. The purpose of this paper is to provide a broad analysis of current urbanization trends in India in relation to macroeconomic developments (throughout the National five years plans i.e., from the 1st five-year plan to 12th five-year plan) to place India in the global context and speculate about the country’s future direction through the lens of Sustainable Development Goal 11: Sustainable Cities and Communities. This paper critically focuses on the core parameters & the existing scenario of SDG 11 in the country. In addition to this, this paper points out the issues (Governance and constraints to SDG 11) pertaining to urban growth in India.

A thin plate, also known as a flat slab, is a reinforced concrete slab that typically lacks beams and girders, instead transferring loads directly to supporting concrete columns. These structures are widely used in industrial, commercial, and institutional settings. However, they are susceptible to shear failure, particularly in the case of flat slabs with no slab drop. The major drawback of this type of slab is punching shear failure, which can occur due to the slab's low thickness and inability to support heavy loads. Despite these limitations, flat slab without drop has gained popularity in recent years due to its many advantages. This review paper provides an overview of this structural system, including its design considerations, benefits, and applications. Additionally, the paper highlights past and ongoing research in the field and discusses the potential for future developments in this technology.

Most Higher Educational Institutions (HEIs) have in the past been largely managed without recourse to a systematic and integrated approach to financial strategy. This has largely been so since the sector has been regarded primarily as a publicly-funded service and the fact that HEIs have fewer financing requirements (and options) and face fewer acute financial risks. However, in recent times, it has become clear that to succeed financially and academically, HEIs must be a more proactive and strategic approach to the management of their finances in the long term. Proceeding from this backdrop, the present paper aims to assess the drivers of strategic management and examine their implications for the strategic management of finances in the context of universities. The paper adopts the conceptual and theoretical research approach. Through a review of the literature on the drivers of strategic management, the authors synthesize various theoretical perspectives and draw their implications for strategic financial management in universities. It is inferred from the study that leadership, communication, resource allocation, and monitoring and review of strategic plans are the factors that are cardinal to strategic financial management in universities. The study culminates by proffering recommendations for policy and practice in the area of university strategic financial management. Among other measures, it is recommended that the leadership of universities including Governments, Directors of Finance, and academic unit heads must aim to develop a financial strategy that aligns with the mission and vision of their institutions, communicates financial strategy across various institutional units, and regularly monitor the effectiveness of financial strategic plans and revise where necessary.

In this paper, Ripple carry adder and Wallace tree adder is designed, encoded in Verilog, and simulated in Xilinx software. This paper presents the pertinent choice for selecting the adder topology with the tradeoff between delay, power consumption and area.

This review paper presents the factors that effects the growth and yield of cucumber under protected cultivation has be discussed in detail which includes explanation of each factor in detailed has been done and concludes with Discussion. This review paper include collecting and resolving revised and correct dossier from various beginnings, containing research items, convention papers, and connected to the internet possessions. The data collected is analysed and synthesized to comprehensively review the factors affecting cucumber growth and yield in protected cultivation.

The manufacturing industry has experienced significant transformations with the introduction of machine learning and artificial intelligence techniques. This review paper aims to provide a comprehensive understanding of the applications of machine learning in the machining industry. The paper discusses several research papers that have been published in recent years, highlighting the methodologies used and the findings obtained. The focus of this review paper is on the use of machine learning techniques for tool breakage detection, anomaly detection, and predictive maintenance in the machining industry. The paper also discusses the use of machine learning techniques for monitoring precision grinding and controlling surface roughness. Finally, the paper concludes with future research directions for machine learning in the machining industry.

The paper presents a garbage segregation robot that uses Internet of Things (IoT) technology to automate the process of garbage segregation. The robot is designed to improve the efficiency of waste collection and disposal, as well as reduce the environmental impact of waste. The robot consists of a mechanical arm that is used to pick up and sort the waste. The arm is equipped with sensors and cameras that are connected to a central server using IoT technology. The server collects the data and analyses it using machine learning algorithms to determine the type of waste. Based on the analysis, the robot segregates the waste into recyclable, non-recyclable, and hazardous waste. The segregated waste is then collected and disposed of appropriately by the waste management authorities. The system also includes a mobile application that allows users to locate the robot and check its status. Users can also receive notifications when the robot is in their vicinity, which helps to prevent overflow and littering. The paper concludes that the garbage segregation robot using IoT technology has the potential to significantly improve the efficiency and sustainability of waste management. By using a robot to automate the process of garbage segregation, the system can help to reduce the environmental impact of waste and promote a cleaner, healthier environment.

This study mainly aims on automatic text categorization and summarization. We have discussed a categorization and summarization method using machine learning techniques. Other researchers have suggested a wide variety of text categorization and summarization methods. Our paper focuses on abstractive summarization built using T5 language model. The categorization model uses logistic regression and support vector classifier algorithm. The paper emphasizes whole process of building a machine learning application from collecting datasets to simulating it on a web application. We have presented a demo sample of implementing the categorization and summarization models in a unique way separating raw and docs text from webpage text and discussed the detailed workflow. We have also discussed the process of building machine learning or deep learning models using the key technology of natural language processing. The evaluation techniques and demo working of model is also discussed.

In this paper, Ripple carry adder and Wallace tree adder is designed, encoded in Verilog, and simulated in Xilinx software. This paper presents the pertinent choice for selecting the adder topology with the tradeoff between delay, power consumption and area.

Resource management or the practice of planning, scheduling, and assigning people, money, and technology to a project is very important. In this current world, construction projects are massive and come with lots of complications. Thus, general schedule control techniques are useful in optimizing resource scheduling and project duration. Primavera P6 is one such software that is used for planning, managing, and executing project work. It is designed to handle large and small projects in several diverse industries such as construction, manufacturing, energy, and IT. Compared to conventional methods, this tool has been highly effective for project managers. Practically, work delays occur due to various uncertainties. Hence by software techniques, one can apply resource dependencies, reschedule the project, and fast-tracking critical activities which delay the duration. The main aim of the study is to optimize the time and cost of a residential building through planning and scheduling, allocation of needed resources, budgeting and tracking by using the Primavera P6 tool. In conclusion, it is important to realize that through crashing and resource leveling the time and cost will be optimized and hence in this paper there will be changes to the schedule between the expected and optimized progress. Based on that, the schedule needs to be changed to complete the paper.

This paper focuses on exploring the ability of artificial intelligence models (AI) in video game development for path finding. Path finding is a major component of video games that allows non-playable characters (NPCs) to navigate their complex 3D or 2D environment, to interact with the player realistically. The most frequent context is found in real-time strategy games. In recent years, AI algorithms have been extensively used for path finding and other design-specific works, offering more advanced and effective methods compared to conventional algorithms. This paper will examine the challenges and limitations of using AI for path finding in video games and the need for domain-specific knowledge.

According to the World Health Organization, stroke is the second leading cause of disability. In 2022, 1 in 6 deaths from cardiovascular disease will be due to stroke. In India, 6.5 million stroke cases have been identified, with half of the strokes occur-ring between the ages of 46 and 65, and one-third occurring after the age of 65. The main aim of our project is to identify the brain stroke by using non-invasive methods and stimulating the nerves with current stimulation with a voltage range of 90 to 100 volts and a frequency of 3 Hz to 5 Hz. This paper mainly focused on the EEG level generated and when it reaches above threshold level stimulation is given when a brain wave signal is an abnormal condition to generate a small electrical signal for brain nerve stimulation. The main result of our paper is that normal or abnormal conditions of stroke exist. When it reaches an abnormal condition to generate the electric stimulation and prevent stroke.

This paper proposes a system to implement adaptive beamforming technique using minimum variance distortionless response (MVDR) with enhanced nulling level control. In this paper, the key motive is to maximize sensitivity in one direction by minimizing output power of beamforming.

The paper looks at the social, cultural and economic sustainability management issues holistically and not discretely, blended as they are into each other in real life. The paper focuses on the interconnectedness of cultural, linguistic, social, legal, religious sustainability concerns and practically assesses the economic viability of each of the aspects.

Improved organisational outcomes are the product of improved recruitment and selection practices. In light of this context, the recruitment and selection study paper has been written to shed light on the selection process. The primary goal of this study is to identify common methods used by organisations to hire and fire workers and to ascertain how these methods affect organisational outcomes at the electronics industry in Krishna Dt, India. Successful hiring and screening procedures are essential elements at the human resources entry point in any organisation. This paper's primary goal is to pinpoint common methods used by businesses in employee recruitment and selection. The research also paid close attention to how hiring and hiring practices affected organisational outcomes and offered some helpful recommendations. Statistical instruments like tables, graphs, pie charts, and bar diagrams have been used in data analysis.

The Kashmir Valley is a scenic region located in north-western India, known for its natural beauty and cultural significance. Despite its attractive features, the valley is situated in an active seismic zone and is vulnerable to earthquakes, which have caused widespread damage and loss of life in the past. In this paper, we present a hazard assessment of the Kashmir Valley to understand the seismic risk posed to the region. The study provides a comprehensive analysis of the geophysical setting of the valley, historical earthquake activity, and the current seismic hazard assessment. The paper also highlights the measures being taken to reduce the impact of earthquakes in the valley, with a focus on the role of the government, local communities, and NGOs in disaster risk reduction.

In this paper we will discuss a phenomenon of space which is observed by us every night but still unknown to us. Every night we see stars in sky but still couple of facts which are not known to us. In this paper we will discuss the fact that every time we see space, we see past. Everything in sky no matter its day sky or night sky is a part of past not present. We can even conclude that sky is a mirror for past.

Global interest has developed in the phenomenon of immigrant entrepreneurship. This paper analyses the existing literature on immigrant entrepreneurship in order to map the primary research streams and identify prevalent theories, techniques, and contexts. To accomplish this, the authors have reviewed 514 academic journal papers. This article emphasizes the need for transdisciplinary research. Strategies that transcend borders Among the authors' proposals for future study are the development and use of diverse theoretical frameworks, the use of multilevel methodologies, and the consideration of undiscovered country situations.

The emergence of ride-hailing services like Uber has disrupted the traditional transportation industry worldwide, and India has not been an exception. In India, Uber competes with the ubiquitous autorickshaws, which are a popular and affordable mode of transport. This paper examines the impact of Uber on the autorickshaw industry from the customer's perspective in Pune, a city in western India with a population of approximately 4.3 million people. Ride-sharing services like Uber and Ola have rapidly grown in popularity, particularly in urban areas. In Pune, Uber has emerged as a significant competitor to autorickshaws, with over 1 million registered users in the city. Uber offers customers a range of benefits, including a cashless payment system, reliable service, and the option to track their ride in real-time. Moreover, the autorickshaw industry relies on a closed, exclusive system that favors drivers over customers. This approach has resulted in poor service quality and a lack of innovation. Uber has had a significant impact on the autorickshaw industry in Pune and India. The study conducted in Pune suggests that Uber has significantly impacted the autorickshaw industry by increasing competition and pushing for improved service quality. Overall, the paper contributes to the literature on the sharing economy and its impact on traditional industries in emerging markets.

Traditional methods of documenting attendance, such as roll call and sign-in pages, have several inefficiencies, as highlighted in the paper. They demand considerable time and effort from instructors and are susceptible to human error. Furthermore, these methods are frequently susceptible to proxy attendance, which can result in inaccurate records and negatively affect students' grades. To address these issues, the paper proposes a low-cost solution that makes use of class photographs and face detection techniques to track attendance. The system can autonomously locate and identify students' features from class images, removing the need for instructors to manually input data. Students can then register their attendance by distinguishing themselves from the list of detected features using a web application that is fast, simple, and parallel. The paper emphasizes that the proposed solution has several advantages over conventional methods of recording attendance. It is substantially more effective and can reduce instructors' workload. It is more precise and trustworthy because it is not susceptible to human error or fraudulent activity. The paper also notes that the system can aid in the identification of students who may require additional support or attention, as their attendance patterns can be more readily monitored. In spite of these advantages, the paper acknowledges that the proposed system has certain limitations. The instructor must have access to the internet and a camera-equipped device. For optimal use of the proposed system, it is suggested that students have a dependable Internet connection. In the event that students experience internet connectivity issues, they can request assistance from their instructors to ensure that their attendance is precisely recorded.

The paper presents a garbage segregation robot that uses Internet of Things (IoT) technology to automate the process of garbage segregation. The robot is designed to improve the efficiency of waste collection and disposal, as well as reduce the environmental impact of waste. The robot consists of a mechanical arm that is used to pick up and sort the waste. The arm is equipped with sensors and cameras that are connected to a central server using IoT technology. The server collects the data and analyses it using machine learning algorithms to determine the type of waste. Based on the analysis, the robot segregates the waste into recyclable, non-recyclable, and hazardous waste. The segregated waste is then collected and disposed of appropriately by the waste management authorities. The system also includes a mobile application that allows users to locate the robot and check its status. Users can also receive notifications when the robot is in their vicinity, which helps to prevent overflow and littering. The paper concludes that the garbage segregation robot using IoT technology has the potential to significantly improve the efficiency and sustainability of waste management. By using a robot to automate the process of garbage segregation, the system can help to reduce the environmental impact of waste and promote a cleaner, healthier environment.

This review paper presents the factors that effects the growth and yield of cucumber under protected cultivation has be discussed in detail which includes explanation of each factor in detailed has been done and concludes with Discussion. This review paper include collecting and resolving revised and correct dossier from various beginnings, containing research items, convention papers, and connected to the internet possessions. The data collected is analysed and synthesized to comprehensively review the factors affecting cucumber growth and yield in protected cultivation.

Most Higher Educational Institutions (HEIs) have in the past been largely managed without recourse to a systematic and integrated approach to financial strategy. This has largely been so since the sector has been regarded primarily as a publicly-funded service and the fact that HEIs have fewer financing requirements (and options) and face fewer acute financial risks. However, in recent times, it has become clear that to succeed financially and academically, HEIs must be a more proactive and strategic approach to the management of their finances in the long term. Proceeding from this backdrop, the present paper aims to assess the drivers of strategic management and examine their implications for the strategic management of finances in the context of universities. The paper adopts the conceptual and theoretical research approach. Through a review of the literature on the drivers of strategic management, the authors synthesize various theoretical perspectives and draw their implications for strategic financial management in universities. It is inferred from the study that leadership, communication, resource allocation, and monitoring and review of strategic plans are the factors that are cardinal to strategic financial management in universities. The study culminates by proffering recommendations for policy and practice in the area of university strategic financial management. Among other measures, it is recommended that the leadership of universities including Governments, Directors of Finance, and academic unit heads must aim to develop a financial strategy that aligns with the mission and vision of their institutions, communicates financial strategy across various institutional units, and regularly monitor the effectiveness of financial strategic plans and revise where necessary.

A thin plate, also known as a flat slab, is a reinforced concrete slab that typically lacks beams and girders, instead transferring loads directly to supporting concrete columns. These structures are widely used in industrial, commercial, and institutional settings. However, they are susceptible to shear failure, particularly in the case of flat slabs with no slab drop. The major drawback of this type of slab is punching shear failure, which can occur due to the slab's low thickness and inability to support heavy loads. Despite these limitations, flat slab without drop has gained popularity in recent years due to its many advantages. This review paper provides an overview of this structural system, including its design considerations, benefits, and applications. Additionally, the paper highlights past and ongoing research in the field and discusses the potential for future developments in this technology.