Volume 10 | Issue 11 |

 Abstract

Each Nation is presently confronting a major issue of overpopulated vehicles which are driven for numerous hours leading to traffic congestion. These traffic congestions lead to major sorts of consequences, like numerous times ambulances like emergency services get stuck in the traffic which causes delays in reaching the medical center as a result patients die waiting in the traffic jams. To overcome this issue we are recommending an unused innovation to alert the traffic that emergency services like ambulances will surpass them. And as soon as this message gets transmitted an alert will be displayed stating the distance with the Ambulance, so that they can clear the road by moving their vehicle to the left side of the road in order to provide a clear path or a lane to the emergency vehicle. This helps the ambulance search for the shortest way and make it fast in an emergency. Smart Traffic systems will help the patient get to an emergency service as shortly as possible. This will reduce the death count and also make the city smarter.

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 Keywords

Overpopulated, Congestion, Ambulance, Emergency, Traffic.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The present study aims to analyze major issues and challenges involved in library automation among the Colleges affiliated with Academic College, Kota. The study covers the period from 2020 to 2021 survey method has been used for data collection, as well as structured questionnaires, are used. For this study, 20 colleges are chosen. Collected data are analyzed using appropriate descriptive and inferential statistics. The study identified a lack of normalization lack of user-friendly software, shortage of manpower, lack of proper service from the vendor, up-gradation problems as technical problems, and lack of necessary funds, manpower, management decisions, and training for the staff and users of a management problem.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

ISSUES, CHALLENGE, LIBRARY AUTOMATION, MGMT.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The occupation of carrying loads involves manual transport of goods from one place to another. Loaders carry loads on their heads, backs and through hand carts throughout the day and sometimes even during the nights. They have no fixed timings of food, rest and work. Moreover long distances, heavy weight of the cargoes, overcrowding, congestion on roads and other issues make their tasks more challenging leaving an impact on their physical and mental health. This leads to many health issues among the loaders working in Old Delhi. It is in this context that this paper studies the working lives of hundred loaders in Old Delhi to articulate if this occupation has any impact on their physical and mental health. For the same, it studies the health dimension of the working lives of loaders in Old Delhi and expounds data on their common health problems, availability of medical support, kinds of health issues that they experience, presence of doctors in the area, attitudes of loaders towards doctors and treatments.

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 Keywords

Informal workers, Loaders, Health hazards, Indian Labour class, Work culture, Occupational health issues

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

The relations between the Islamic Republic of Afghanistan and the Republic of India under Mohammad Ashraf Ghani are among the most complex in the history of relations between the two countries. Afghanistan with India, which had one of the best relations in the region during the time of Hamid Karzai, but during the time of Mohammad Ashraf Ghani, it was seen that these relations were facing challenges and Afghanistan's economic relations with the Republic of India were no exception. Afghanistan's economy with India Although faced with challenges and opportunities, having economic relations for both countries was one of the priorities of both countries. In this study, we seek to answer the following question, what were the economic relations of the Islamic Republic of Afghanistan with the Republic of India during the rule of Mohammad Ashraf Ghani? The hypothetical answer of this research is also related to the expansion of economic relations between the two countries in the early years of Ghani's rule, but later in the years of the expansion of the Corona pandemic and the withdrawal of international troops from Afghanistan, Afghanistan's economic relations faced challenges. The research method is analytical and descriptive and the collection method is library method by referring to important intergovernmental documents.

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Keywords: Islamic Republic of Afghanistan, Republic of India, Relations, Economic

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 Abstract

Artificial intelligence (AI) has become more prevalent in a number of societal fields, most notably the pharmaceutical industry. In this review, we focus on how AI is being used in a variety of pharmaceutical industry fields, such as drug discovery and development, drug repurposing, increasing pharmaceutical productivity, and clinical trials, among others. This use of AI lessens the workload of human workers while also achieving goals quickly. A interesting and expanding field is artificial intelligence (AI). Because of the large and growing volume of data, AI techniques are becoming indispensable for the full evaluation of information underlying data. AI is being used to accelerate progress and improve decision making in various sectors and disciplines of drug discovery and development, including medicinal chemistry, upscaling, molecular and cell biology, pharmacology, pharmacokinetics, formulation development, and toxicity. In clinical testing, AI plays a critical role in raising success rates by improving trial design (biomarkers, efficacy parameters, dose selection, trial duration), target patient population selection, patient stratification, and patient sample evaluation. We also explore crosstalk between AI tools and methodologies, current issues and solutions, and the future of AI in the pharma industry.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Artificial Intelligence (AI), Pharmaceutical, Development.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Economic Co-operation, Kashmir Issue, Bone of Contention.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

Akhado Ka Sanskritik Itihas Bina Kumbh Mela ke Puran Nhi Ho Sakta Kumbh Mele Avan Akhade Ek Dusre Ke Purak Hai..........................................Manoval Ko Badhati Hai.

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Akhade, Kumbh, Nakshatra, Rashi, Grihastha, Dasnami, Bairagi, Mahant, Deputy Cullector, Magistrate, Mahamandaleshwar.

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Creative Commons Attribution 4.0 and The Open Definition

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 Keywords

: manipulative marketing, customer retention, tactics, buying decisions, psychological needs, brands, puffery

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Creative Commons Attribution 4.0 and The Open Definition

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Mankind has advanced technology to the extent that the 21st century is the crack of the dawn for uni magina blachi evements. forementioned technology can be used for our benefit in identifying one's age and even their gender just based on their glimpse from a camera, image and even a video. This research paper will methodically chalk out the whole procedure, multiple methodologies and algorithms that can be used, which one is the most accurate and how it all comes together. It will also stress on its importance and how it can be implemented to benefit our day to day life. The paramount objective of the paper is to build a gender and age detector that can approximately guess the gender and age of the face of an individual in a picture using Deep Learning on the audience dataset. Moreover, to get the most effective predictions and result by overcoming the problem of accuracy and time. Moreover, the map for the ways this technology can be used to our benefit and look at the huge spectrum where it can be implemented: ranging from security services, CCTV surveillance and policing to dating applications, matrimonial sites.

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 Keywords

Convolutional Neural Network, Deep learning, Computer vision, Artificial Intelligence, Machine Learning.

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Waste segregation, deep learning, Convolutional Neural Network, Pre-trained models

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Creative Commons Attribution 4.0 and The Open Definition