scholarly journals THE INIMITABLE BLEND OF POETICS AND POLITICS: READING NARENDRA MODI AND PABLO NERUDA AS THE POETS OF PEOPLE

2021 ◽  
pp. 1577-1591

This research explores and contributes to knowledge pool of poetry and polity in the creative literary work of Narendra Modi and Pablo Neruda. It traces the course of discovering the poet's expression as the journey within, a divine communion with cosmic consciousness an idea of nation building and collective harmony. This quest of comparative reading of Narendra Modi and Pablo Neruda as poets of people began long back in 2011. I am glad to present this study after working on it gradually for long, I have selected to study few poems from Modi’s Blessed are these Eyes/ Ankh Aa Dhanya Chee and Neruda's Spain in Our Hearts/ Espana En El Corazon, as a more radical investigation into the possibilities and limits of poetics and politics as field of human activity. Focal points of the paper are:  How and why poet Narendra Modi and leader Narendra Modi, is promising. Why and how poet Pablo Neruda and leader Pablo Neruda appeals.  Their works reflect that the poet in their individuality chant about internal order of man, while the leader relates to the external well being and ordering of men.  A quest for internal order in a given epoch coincides with the external ordering and this finally leads to construction of better society, newer nation and a novel world.  An anatomizing of Narendra Modi‘s and Pablo Neruda’s sensitiveness towards Nation, it‘s people and the vocalization of their devotedness through literature.

Author(s):  
Pranjal Kumar

Human Activity Recognition (HAR) has become a vibrant research field over the last decade, especially because of the spread of electronic devices like mobile phones, smart cell phones, and video cameras in our daily lives. In addition, the progress of deep learning and other algorithms has made it possible for researchers to use HAR in many fields including sports, health, and well-being. HAR is, for example, one of the most promising resources for helping older people with the support of their cognitive and physical function through day-to-day activities. This study focuses on the key role machine learning plays in the development of HAR applications. While numerous HAR surveys and review articles have previously been carried out, the main/overall HAR issue was not taken into account, and these studies concentrate only on specific HAR topics. A detailed review paper covering major HAR topics is therefore essential. This study analyses the most up-to-date studies on HAR in recent years and provides a classification of HAR methodology and demonstrates advantages and disadvantages for each group of methods. This paper finally addresses many problems in the current HAR subject and provides recommendations for potential study.


Author(s):  
Haojie Ma ◽  
Zhijie Zhang ◽  
Wenzhong Li ◽  
Sanglu Lu

Human activity recognition (HAR) based on sensing data from wearable and mobile devices has become an active research area in ubiquitous computing, and it envisions a wide range of application scenarios in mobile social networking, environmental context sensing, health and well-being monitoring, etc. However, activity recognition based on manually annotated sensing data is manpower-expensive, time-consuming, and privacy-sensitive, which prevents HAR systems from being really deployed in scale. In this paper, we address the problem of unsupervised human activity recognition, which infers activities from unlabeled datasets without the need of domain knowledge. We propose an end-to-end multi-task deep clustering framework to solve the problem. Taking the unlabeled multi-dimensional sensing signals as input, we firstly apply a CNN-BiLSTM autoencoder to form a compressed latent feature representation. Then we apply a K-means clustering algorithm based on the extracted features to partition the dataset into different groups, which produces pseudo labels for the instances. We further train a deep neural network (DNN) with the latent features and pseudo labels for activity recognition. The tasks of feature representation, clustering, and classification are integrated into a uniform multi-task learning framework and optimized jointly to achieve unsupervised activity classification. We conduct extensive experiments based on three public datasets. It is shown that the proposed approach outperforms shallow unsupervised learning approaches, and it performs close to the state-of-the-art supervised approaches by fine-tuning with a small number of labeled data. The proposed approach significantly reduces the cost of human-based data annotation and narrows down the gap between unsupervised and supervised human activity recognition.


2018 ◽  
Vol 18 (1) ◽  
pp. 7-50
Author(s):  
John Mukum Mbaku

Summary Most countries in Africa are both “multination” and “polyethnic” states. This is due partly to the forced amalgamation, by the European colonialists, of the continent’s “ethnocultural nations” into single economic and political units that were called “colonies.” These colonies eventually evolved into what are today’s independent African countries. Today, many of these ethnocultural groups want to secede and form their own independent polities in order to have more autonomy over policies that affect their well-being, including especially their cultural and traditional values. The struggle by these groups for either outright secession or so-called enhanced rights has created many challenges for governance, national integration and nation-building in many countries in Africa today. Throughout the continent, inter-ethnic conflict, for example, over the allocation of scarce resources, has produced sectarian violence that has led to civil wars (as occurred in Liberia, Sierra Leone, Rwanda, and Nigeria) and significantly endangered prospects for peaceful coexistence. It has been suggested that the solution to this political quagmire is the creation of differentiated citizenship rights for each of these groups. The paper suggests that of the three types of differentiated citizenship that have been suggested as a way to accommodate diversity—self-government rights, polyethnic rights, and special representation rights—self-government rights pose the greatest threat to social, political, and economic stability in the African countries. The solution to this governance challenge may lie in inclusive and robust dialogue, which can help these groups find a way to remain citizens of their present polities, while at the same time, retaining their cultural identities.


Philosophy ◽  
1959 ◽  
Vol 34 (130) ◽  
pp. 193-203
Author(s):  
E. P. Papanoutsos

The strongest argument which convinced adherents of determinism put forward is that the admission of freedom of the will does away with the principle of causality within the sphere of personal existence, and makes human activity incomprehensible. “I understand” and “I explain” mean: I apprehend the presentations of experience in terms of the basic forms of thought, and in this way I assimilate them, I register them in the system of knowledge which makes up my intellectual capital. One of these forms of thought, and one of the very highest importance, is the concept of causality: without it the mind would remain perpetually bemused before an orderless world of phenomena, displaying no rhyme or reason, like the world of magic or that of dreams. If, therefore, freedom of the will excludes a principle on which our intellectual well-being depends so “much, it must be rejected by the philosophical mind and given no place amongst the truths which that mind recognizes. There is a lasting validity in Immanuel Kant's observation:“If we grant that morality necessarily presupposes freedom (in the strictest sense) and if at the same time we grant that speculative reason has proved that such freedom does not allow of being thought, then the former supposition— that made on behalf of morality—would have to give way to this other contention, the opposite of which involves a palpable contradiction.”.


2021 ◽  
Author(s):  
◽  
Renee Yap

<p>This thesis aims to demonstrate the tension between human security's core categories of freedom from fear and freedom from want. The two core categories of human security are often held to be complementary to each other. However, by applying a human security analysis to the War on Drugs in Bolivia, particularly with reference to the ideas of freedom from fear and freedom from want, it can be seen that the War on Drugs in Bolivia typifies a freedom from fear approach. This is illustrated through the War on Drugs focus on protecting individuals from physical violence and human rights abuses relating to situations of conflict, as well as its use of coercion strategies, such as sanctions or non-unilateral force; all of these of which are usual to a freedom from fear approach. An examination of how the War on Drugs has impacted upon the individuals of Bolivia reveals that despite the desired outcome of protecting individual safety and well-being, the War on Drugs has actually compromised the safety and well-being of Bolivians. In addition, in typifying freedom from fear, the War on Drugs in Bolivia has also challenged freedom from want by marginalising or threatening economic, community, food and health security, and thus defying claims that freedom from fear and freedom from want are complementary. This thesis concludes that by pursuing political and personal security, freedom from fear marginalises and even contests food, health, environmental and most especially economic and community security - the focal points of freedom from want. Security policies adopted to address transnational threats in developing countries must ensure that they not only account for the freedom from fear and freedom from want components of human security, but that they also account for, and manage, the potential for freedom from fear to undermine the wider goals of freedom from want.</p>


2021 ◽  
Author(s):  
◽  
Renee Yap

<p>This thesis aims to demonstrate the tension between human security's core categories of freedom from fear and freedom from want. The two core categories of human security are often held to be complementary to each other. However, by applying a human security analysis to the War on Drugs in Bolivia, particularly with reference to the ideas of freedom from fear and freedom from want, it can be seen that the War on Drugs in Bolivia typifies a freedom from fear approach. This is illustrated through the War on Drugs focus on protecting individuals from physical violence and human rights abuses relating to situations of conflict, as well as its use of coercion strategies, such as sanctions or non-unilateral force; all of these of which are usual to a freedom from fear approach. An examination of how the War on Drugs has impacted upon the individuals of Bolivia reveals that despite the desired outcome of protecting individual safety and well-being, the War on Drugs has actually compromised the safety and well-being of Bolivians. In addition, in typifying freedom from fear, the War on Drugs in Bolivia has also challenged freedom from want by marginalising or threatening economic, community, food and health security, and thus defying claims that freedom from fear and freedom from want are complementary. This thesis concludes that by pursuing political and personal security, freedom from fear marginalises and even contests food, health, environmental and most especially economic and community security - the focal points of freedom from want. Security policies adopted to address transnational threats in developing countries must ensure that they not only account for the freedom from fear and freedom from want components of human security, but that they also account for, and manage, the potential for freedom from fear to undermine the wider goals of freedom from want.</p>


2020 ◽  
pp. 24-33
Author(s):  
Rem Zadneprovsky ◽  

The aim of the work is to use the mathematical modeling apparatus to discover the relationship between real indicators of economic growth and well-being of the population with the quality of life of individual citizens. The subjective perception of the quality of life by the subject and the researcher makes this problem quite difficult for mathematical formalization. Digitalization of all types of human activity becomes one of the problematic aspects for modeling its status in the surrounding society. On the other hand, it allows you to Bank available solutions to the main tasks in human activity to create a comfortable living environment. The technique of formalization is considered and applied from the standpoint of General laws of motion and time dynamics of processes in natural environments (mechanical, electrical, biological systems), which may have a damping or exponential-wave character. Based on the proposed dependent equations, we offer a minimum list of factors that are necessary for the construction of predictive models. Taking into account the proposed factors, prognostic models are made that allow determining the current state of human quality of life with a sufficiently high probability in connection with the dynamic characteristics of the environment and socio-economic conditions of its life.


Author(s):  
Philip V. Mladenov

The oceans cover 71 per cent of our planet’s surface, create a vast globally connected fluid living space, and support a diverse array of life forms. The Introduction outlines the ocean environment’s role in providing essential services for human survival and well-being. They produce half of the oxygen we breath; stabilize our climate; sustain ecosystems that protect our coasts; provide us with abundant healthy food and with natural products for medicine and biotechnology; and support many forms of recreation and tourism. But all of this is under threat due to human activity. Action is required to create a more sustainable relationship with our oceans so that they can be restored and protected for future generations.


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