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As India's largest employer has gone digital, this is the beginning of mass acquisition in a new dimension. Indian Railways serves on a peripheral scale in the size of each aircraft. It carries 23,000 passengers and over 3 million tonnes daily, with more than 12,000 passengers traveling at 115,000 km and 7000 stations. But as the nation's largest employer has begun to digitalize its services operations, it is beginning to gain mass in an emerging dimension. The network collects around 100 datasets per user (one truffle is enough to store 500–1000 movies). This passenger booking plate has 25 million users, leading to approximately 800,000 daily transactions. Such is the creation of a digital scale railway ecosystem, a fertile ground for entrepreneurs, employers and large scale technology for testing and testing. And while Railways has made a good start by integrating third parties with third parties, the company can create a seamless experience in booking, payment and other services at the top of the railway data pipeline. Here we have several ways to verify a passenger or passenger ticket, which will be discussed one by one on Fig.1. We understand here that the N computer system (server) is available in the availability center and the availability train provided by the NECC (North Eastern Carrying Corporation Ltd). Each seat or chair acts as a spring (Smart) chair, which means that we are connected to a ticket scanner or chair that can scan tickets and send the actual data to the field node (fog node). Later, the latest analysis will result in the proposed data and the final data that will be sent to the cloud. We are connected to multiple devices to share real-time data and updated real-time data on the cloud. We have created a fog environment and a cloud environment. We have implemented this with the help of clipping and sending data by sending real data separately. We have created a smart gateway between military (Servers) and customer (sensor), cloud and customer (sensor). In this paper, there is the solution that can enhanced the chances of getting confirm ticket, based on individual server load in coaches of the train, according to the increase in the number of sensors request, in the context of processing and considering three cases , it is an answer by analysing cloud-fog scenario. Up to this implementation the simple round robin algorithm is also used solution for load balancing purpose. The method is implemented by using a class student attendance system in a college level. ; As India's largest employer has gone digital, this is the beginning of mass acquisition in a new dimension. Indian Railways serves on a peripheral scale in the size of each aircraft. It carries 23,000 passengers and over 3 million tonnes daily, with more than 12,000 passengers traveling at 115,000 km and 7000 stations. But as the nation's largest employer has begun to digitalize its services operations, it is beginning to gain mass in an emerging dimension. The network collects around 100 datasets per user (one truffle is enough to store 500–1000 movies).This passenger booking plate has 25 million users, leading to approximately 800,000 daily transactions. Such is the creation of a digital scale railway ecosystem, a fertile ground for entrepreneurs, employers and large scale technology for testing and testing. And while Railways has made a good start by integrating third parties with third parties, the company can create a seamless experience in booking, payment and other services at the top of the railway data pipeline. Here we have several ways to verify a passenger or passenger ticket, which will be discussed one by one on Fig.1. We understand here that the N computer system (server) is available in the availability center and the availability train provided by the NECC (North Eastern Carrying Corporation Ltd). Each seat or chair acts as a spring (Smart) chair, which means that we are connected to a ticket scanner or chair that can scan tickets and send the actual data to the field node (fog node). Later, the latest analysis will result in the proposed data and the final data that will be sent to the cloud. We are connected to multiple devices to share real-time data and updated real-time data on the cloud. We have created a fog environment and a cloud environment. We have implemented this with the help of clipping and sending data by sending real data separately. We have created a smart gateway between military (Servers) and customer (sensor), cloud and customer (sensor). In this paper, there is the solution that can enhanced the chances of getting confirm ticket, based on individual server load in coaches of the train, according to the increase in the number of sensors request, in the context of processing and considering three cases , it is an answer by analysing cloud-fog scenario. Up to this implementation the simple round robin algorithm is also used solution for load balancing purpose. The method is implemented by using a class student attendance system in a college level.

In this respect, it is highly appropriate & relevant to mention over here that Dr. Bhim Rao Ambedkar who was the architect of Constitution of India because he was drafted the same. He stated that Article 32 of Constitute of India is the soul of Constitution of India which is guaranteed for the enforcement In the light of above, it can be said that such rights which are available, without enforcement or implementation are worthless. Despites, the availability of enforcement system, people is not being able to get the required justice. Enforcement system for Human Rights & its Law is as under, just at a glance: Supreme Court of India, High courts of the state Concerned, The National Human Rights Commission, State Human Rights Commissions, Human Rights Court, Public Grievance system and other required systems. Now a –days, the condition of enforcement system of human rights & its Law is very misery & in very serious condition in India. Many reasons or causes are behind the same as under: social economic, political, moral, spiritual, scientific, psychological, technical, cultural, traditional & custom and usage, lack of awareness, literacy, accessibility to people, life style, living standard, culture, thoughts, mind, attitude, atmosphere and practice of people of India, subjecting to time and circumstances. Keeping in view the aforesaid things, this research paper has been written which is helpful and beneficial for research scholar, students, Professors, teachers, institutions or organizations, governments, society, and other required persons concerned.

Dalits have been subjected to numerous atrocities and injustice for centuries. It's been 68 years since India attained its freedom; still the practice of caste system prevails in most part of it. The political rhetoric and constitutional protection have failed in eradicating caste cruelties and Dalits continue to bear the brunt of caste violence and discrimination. According to the census 2011, in India Dalits including Scheduled Tribes comprised 25 percent of total Indian population and the by now the percentage would have gone much higher. Dalit empowerment and upliftment from the current status quo is much needed only from the constitution and politicians but from the mass media as well as they have great potential to achieve this phenomenon. Mass media can create awareness and empower Dalits as they have the capability as prime mover of change in the society. Unfortunately, the mass media which supposed to present unbiased social reality and resort balanced position, has shifted its focus as profit-making Corporation. Thus are the emergence of alternative media came into being. Alternative media helps the marginalized and the minority communities to speak against the oppression at the gross root level. To call a media an alternative media, it should have characteristics of an alternative media. Bailey et al., 2008 in their book understanding alternative media propose four basic approaches to alternative media which make a medium as an alternative media. One of the approaches is that an alternative media should 'serve the community'. This article focuses on how Dalits in India have begun using internet as the alternative media for sharing information and how Dalits websites and social networking sites such as blogs fits into the approach 'serve the community'.

Introduction: Antimicrobial resistance is a modern warfare against trillions upon trillions of microorganisms which is constantly evolving. The intention of the study is to find out the prevalence of common infection and sensitivity pattern among bacterial pathogens in a tertiary care hospital of Bihar. Methodology: The current study was carried out in the Department of Microbiology, Jawaharlal Nehru Medical College and Hospital, Bhagalpur, Bihar, India over a period of 1 year from November 2020 to October 2021. The prior approval was obtained from the Institutional Ethics Committee. The data comprising a total of 615 samples collected over a period of one year. Isolates from clinical specimen such as urine, pus, blood, sputum, wound, ear, throat swabs, and peritoneal fluid sample were analyzed. The positive cultures and their antibiotic susceptibility testing were performed under the guidelines of Clinical and Laboratory Standard Institute (CLSI). Results: During the study period, total of 615 samples were received for culture and sensitivity test in the Department of Microbiology from the various intensive care units of the hospital. Out of 252 positive samples, based on microscopy and culture characters 179 (71.1%) were Gram Negative isolates and 73 (28.9%) were Gram positive isolates. The most predominant isolated organism in Gram Negative isolates are Klebsiella - 98 (54.7%), Pseudomonas – 38 (21.2%), Escherichia coli – 29 (16.2%) & Proteus vulgaris – 14 (7.8%). Similarly the most predominant Genus/Species in Gram Positive isolates is Staphylococcus – 71 (97.3%). Conclusion: Existing and future medical community, health care professionals, Government should address this emerging problem and curb this at its root or else a scenario of pre antibiotic era in near future is inevitable.

Smartness in smart grids and cities is an assemblage of devices that produce data as truth claims and deploy new modes of governance focused on chal (deception, cunning) and bal (power) with a promise to reduce losses and maximise profits. Building on postcolonial geographies, the paper argues that chal (छल) and bal (बल) are central to understanding the deployment of smart grids in India. Managers use the idea of the practice of chal and bal by political citizen-subjects, and the disorder of governance this causes, to justify the deployment of smart infrastructure. However, the paper shows that smartness can be understood as automation, and deployment from a distance, of chal and bal by a capital-state nexus to counter the chaliya (छलिया) (deceptive/cunning/cheat/trickster) citizen-subjects. Planners and implementers expect data and digitalisation to bring order by (re)training and excluding lower-level workers and consumers. These promise to reduce resource losses, making electricity utilities profitable. Rather than being distinctly corporate or clearly in the domain of the state, smart is situated at the fracture of public and private resources, and political and civil spaces. By developing a postcolonial analysis of smart grids and focusing on the 'inbetweeners', electricity utility staff and middle-class citizen-subjects, the paper furthers the understanding of smartness and subalternity of elites.