Volume 12 | Issue 1 |

 Abstract

Public health policy is fundamentally aimed at promoting community health impartially. However, the reality often reveals a different narrative where policy formulation is influenced by the demographic nature, market forces, and the prevailing political ideologies. This article sheds light on the various social factors and the multi-level political dynamics - micro, meso, and macro - that significantly shape public health policymaking. While past global events like the COVID-19 pandemic have exemplified the intersection of global politics and market forces in local policy decisions, this piece aims to transcend specific events. It focuses on a broader analysis of geopolitical influences in public health policy across various contexts. By examining social philosophy and advocating for attitudinal shifts, the article seeks pathways to implement politically unbiased, effective public health interventions, envisioning a future where health policy is guided by equitable principles, transcending political and market biases.�

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 Keywords

Public Health Policy, Political Influence, Healthcare Disparities, Social Stratification, Social Philosophy, Political Bias, Healthcare Accessibility, Socio-Economic Disparities, Medical Education Privatisation, National Healthcare Systems.�

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Creative Commons Attribution 4.0 and The Open Definition

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Now-a-days people are unaware of the fact that malicious webpages have such kind of scripts that they don't have to intentionally download a malicious attachment in order to compromise computer security,i.e.;it gets automatically downloaded in system. To save important data and software from these types of threats we must use some updated algorithm to detect malicious webpage .In the present research a machine learning based approached is proposed to identify malicious webpages from a heap of URL data. Random forest, logistic regression, support vector machine, K-Nearest Neighbors Algorithm is used. The data heap used in this research is collected from well-known sources such as GitHub, Kaggle etc. This novel work is further valuated against traditional machine learning model and our result highlights positive state in respect to the proposed approach. Hyper -parameter tuning, Quantile transformer make algorithm unique and classification, confusion matrix, ROC curve give the results of evaluation.

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 Keywords

Machine learning, URL, Logistic regression, Random Forest, Support Vector Machine, K-Nearest Neighbors Algorithm ,Confusion matrix, ROC curve, Classification Report, Hyper-parameter tuning, Quantile transformer.

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Creative Commons Attribution 4.0 and The Open Definition

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Orthogonal frequency division multiplexing (OFDM) is a multicarrier transmission scheme supporting high data transmission and generally requires no equalization at the receiver, making it simple and efficient. Most importantly in OFDM intercarrier bands are not required and also the crosstalk between the sub channels is eliminated. The two fundamental advantages of OFDM are its robustness against channel dispersion and its ease of phase and channel estimation in a time-varying environment. Every system has its own pros and cons, similarly OFDM as well has a few cons. The major, Disadvantage of this system is high Peak to Average Power Ratio (PAPR) resulting in performance degradation of DAC & decreases efficiency of power amplifier. In this paper we review on OFDM system, its different types of PAPR reduction techniques and comparison of different PAPR reduction techniques.

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 Keywords

OFDM, PAPR, CCDF, BER, HPA, SLM, PTS

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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

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Creative Commons Attribution 4.0 and The Open Definition

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In recent years, multiple well-established business sectors, especially those where internet enterprises are popular, especially Google, Amazon, etc., have primarily turned to cloud technology for data retention and other reasons. Customers of cloud systems can take advantage of their simple processes, affordable setup, and cheap maintenance costs. The information protection practises of cloud services do, however, present serious threats. The issue of the security of cloud data and customer dependability remains dubious despite the constant analysis and reformation of the sector because of the proliferation of cyberattack techniques and problems with cloud storage platforms. This research provides a machine learning-based cloud data protection and search model that is impacted by balanced searchable encoding in order to address this danger and add to the effort of offering perfect information safety methods in methods of storing and retrieving data in the cloud. The proposed approach applies an accurate term ranking technique while enhancing private information through the use of an ANN. The proposed approach has superior functional ability when compared to multilevel SVM and Naive Bayes, according to a comparative study. The correlation between low FPR and high TPR supports the efficacy of the planned effort. A low CCR of 0.6972 further contributes to the efficacy of the suggested work.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Encryption, Data security, Data Protection, cyberattack.

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Creative Commons Attribution 4.0 and The Open Definition

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Fintech development is attracting attention of regulators who presently evaluates the best possible way to help in development of market and make sure this sector development contribution and not treat and mandates stability of systems, protection of consumers and competition in market. This platform offer payment as a supplementary string to existing wide-ranging system of business management. With single system, a customer is able to manage their bookings, payments and stock levels. This provides deep insights & report that provides owner of businesses with critical information of the way their company performance. Study survey was conducted among female respondents of Delhi NCR to know role of banks in promoting and encouraging the adoption of fintech solutions among female customers and change in the general banking habits of females due to the emergence of financial technology and found that there has been a significant change in general banking habits of Females in Delhi - NCR due to emergence of Financial Technology.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Fintech, Financial Technology, Bank, financial services, financial solutions

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Creative Commons Attribution 4.0 and The Open Definition

 Abstract

In ayurveda human body is formed of six parts (Sadanga Sharir)which are two upper extrimities/ hands(bahu), two lower extrimities /legs(sakthini), head & neck(sirogreeva or greeva), & trunk(antaradhi).Some acharyas consider head and neck as a single entity while other acharyas consider them as two separate units.Greeva is the most important part of our body as it comes under "Dash Pranayatana" ( the place where Prana-resides).In this paper small attempt has been made to describe greeva as per different acharyas.

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Sadanga Sharir, bahu, sakthini , antaradhi ,Dash Pranayatana, Prana.

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Creative Commons Attribution 4.0 and The Open Definition

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Background: Suicide is the leading cause of death among college students. However, suicide is preventable. Youth who are contemplating suicidal frequently give warning signs of their distress. Parents, teachers and friends are in a key position to pick up on these signs and get help. Objectives: To assess the level of knowledge and attitude related to prevention of suicide among Nursing students. Methodology: A non-experimental, descriptive exploratory survey approach was used for the study. Data was collected from 413 nursing students by non-probability consecutive sampling technique who were studying in selected Nursing colleges in Meerut (UP). Self-structured questionnaires were used to assess the level of knowledge of prevention of suicide on attitude towards prevention of suicide. Result: Findings related to level of knowledge showed that the highest percentage (50%) of students were having average knowledge and (25%) of students having poor knowledge about prevention of suicide. Conclusion: There was poor knowledge and negative attitude towards suicide among these students. Hence, we provided self-instructional module (SIM) which focused on suicide prevention among nursing students.

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Keywords: Knowledge, Attitude, Prevention of suicide, Nursing students

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Creative Commons Attribution 4.0 and The Open Definition

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This paper presents the modeling, design, implementation, and evaluation of a prototype Network Monitoring (??) information system. First, a general overview of such management systems is provided highlighting the need for the visualization of network elements in order reliable network monitoring to be achieved. Moreover, the importance of monitoring the network operation from the network administrators and other relevant users is underlined by presenting the main reasons for using NM tools. Then, the functional and architectural design and implementation of the proposed network monitoring tool are presented. This tool uses state-of-the-art implementation standards and technologies, like the TMF608 Multi-Technology Network Management (MTNM), the NML-EML (Network Management Layer-Element Management Layer) interface and the JBoss enterprise application platform. A major feature of this prototype NM tool is the graphical representation of the telecommunication elements/managed objects over a panel, which contains a map and representations of possible active alarms over these elements/objects. The proposed NM tool supports real-time alarms and allows the users to acknowledge them. Next, an operational demonstration of how the prototype NM information system works is provided along with some discussion on evaluation results. Finally, conclusions and future work are given.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Network Monitoring, Simple Network Management Protocol, Management Information Base, Event Dissemination, Management Information Systems, Network Operations.

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Creative Commons Attribution 4.0 and The Open Definition

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This paper analyses the prominent characteristics of children and young adulthood found in two teenage diaries and two adventure novels within Indian English children's literature. An examination of how these writers portray the resilient state of the women protagonists in the adventure and adolescent diary tales, and and how they skillfully incorporate recollections, anguish, hardships, reflections, repression, and their path to achievement. This study will thoroughly analyse the impact of disasters or catastrophes on the inner psyche of female characters and their transformation into legendary figures.

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Creative Commons Attribution 4.0 and The Open Definition

 Keywords

Children's literature, young adult fiction, Feminine Perspective, Patriarchy, comparison.

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Creative Commons Attribution 4.0 and The Open Definition