Number Of Demonstrations Research Articles

Assessing Sardar Vallabhbhai Patel Role in India’s Unification

This paper attempts to analyse the role of one great person who took the enormous task of building the nation's edifice when a nation on the verge of independence was struggling to discover its geography of togetherness. Through his unwavering determination and perseverance, he was able to unite hundreds of strikingly distinct states to create the modern nation-state of India and this visionary's leader name was Sardar Vallabhbhai Patel. From 1917 to 1950, Sardar Patel ruled the Indian political system. He devoted his life to the cause of liberation and reorganised the Indian National Congress. He oversaw delicate ministries including Home and the States after Independence. He merged the princely States after the Partition and reorganised the government. Patel was a key contributor to the creation of the Indian Constitution and helped lay the groundwork for democratic democracy. As a result, he became known as the Iron Man, a wise statesman, and a founding father of modern India. It is therefore widely held in the Indian context that nationalism was rendered obsolete with the victory of Independence. But this isn't always the case. The political reinterpretation of Sardar Patel's ideas, actions and thoughts are examined in this paper. Sardar Vallabhai Patel was a self-sufficient and driven individual. He almost never needed assistance from others to fulfil any of his professional tasks. Sardar Vallabhai Patel was one of those who helped the nation's citizens come together. He gave individuals the means to rebel against the British government. He participated in a number of demonstrations against Indian rulers.

The ‘Normalization’ of Young Protestors in Greece

During the last decades, the number of demonstrations as well as of demonstrators has significantly increased in most Western European countries. Some scholars support that protesting has become so widespread leading to the ‘normalization’ of the demonstrators. Overall research examining the ‘normalization thesis’ of street youth protest by analyzing representative datasets is extremely scarce. The chapter by analyzing youth-over-sampled survey data collected as part of the EURYKA project examines key socioeconomic determinants in participating in demonstrations among Greek young adults aged 18-34 years old. Greece is an exceptionally interesting case study to examine the ‘normalization thesis’ of youth protesting as the recent recession and its severe socioeconomic impacts triggered an exceptional wave of protest mobilization where Greek youth was one of the main protest claimants. The findings indicate that the socioeconomic determinants under study, such as gender, educational attainment, income, and occupational class, do not play a significant role in predicting youth demonstrating in Greece. Such preliminary evidence provides empirical support to the ‘normalization thesis’ and accords with related studies underscoring that during the massive anti-austerity protests Greek citizens from a broad range of social strata were mobilized in protest activities.

Intelligent Cooperative Collision Avoidance at Overtaking and Lane Changing Maneuver in 6G-V2X Communications

The rapid growth in Autonomous Vehicle (AV) technology endeavors increased attention towards road safety in recent days. Particularly, a higher number of road accidents occurs when the AV tries to overtake or change the lane. To cut down the number of accidents and improve traffic reliability, the AV should be capable of making intelligent decisions and communicating those to other AVs. Therefore, in this paper, a Cooperative Collision avoidance scheme for AVs at Overtaking and Lane Changing maneuver (CCAV-OLC) is proposed. The Inverse Reinforcement Learning (IRL) in the CCAV-OLC scheme, processes on the given number of expert demonstrations for automatically acquiring the reward function, and thereby imitating actual human driving strategy and decisions. However, the adaptability of IRL to a high-dimensional AV environment restricts the performance of the CCAV-OLC scheme. To overcome this, the IRL in CCAV-OLC leverages the Gaussian Process (GP) regression model (IRL-GP), which enables data-efficient Bayesian prediction even when the number of demonstrations is very low. After taking intelligent decisions in overtaking and lane changing maneuvers, the AVs cooperatively communicate and exchange the decisions with each other by 6th Generation Vehicle-to-Everything (6G-V2X) communications, which further improves the accuracy and lessens the time taken for making optimal decisions. The experimental results show that the AVs clone the expert's optimal driving strategy and avoid the collisions to a greater extent.

Influence of Age on Effort Required to Complete Spirometry in Children and Adolescents.

Although effort required to complete spirometry is known to differ by age, no studies have addressed this issue. The present study aimed to identify the difference in the effort required to complete spirometry by age in children and adolescents. Data from 707 children (mean age, 10.2 years; range, 4-25 years) from 6 medical centers were analyzed. In addition to demographics, we obtained information on the time required for as well as the number of demonstrations and spirometry demonstrations and trials from the patients' electronic medical records. A total of 398 (56.3%) male participants were included, and 300 (42.4%) participants had no prior experience receiving spirometry. The mean time required for spirometry demonstration was 2.7 minutes (standard deviation [SD], 2.1 minutes), whereas that for spirometry trial was 5.9 minutes (SD, 5.1 minutes). The total mean time required for spirometry was 8.6 minutes (SD, 6.5 minutes). Significant negative associations were observed between age and effort required to complete spirometry with respect to the time and number of demonstrations and trials. The results of the present study suggest that age may affect the degree of effort required to complete spirometry, with a pattern of increasing effort with decreasing age. This finding provides important evidence for the establishment of health care policies especially regarding lung diseases that can benefit from spirometry.

The Reconfiguration of Urban Public–Private Spaces in the Mall: False Security, Antidemocratization, and Apoliticalization

In cities across the world, public spaces are being reconfigured, and their functions are being appropriated by private areas, such as shopping malls. The aim of the present article was to analyze this problem and, more specifically, to study shopping centers as secure spaces in cities, as well as the antidemocratic and apolitical nature of such malls. The study takes a positivist approach, beginning with the existing theoretical framework and using data from case studies to generate findings. The theoretical framework is established through a review of the literature, while the case study data are drawn from an analysis of news content from digital media and from autoethnography. The findings suggest malls are perceived as safe spaces, also in addition to being home to minor offenses, as well as a number of tragic events and crimes. Additionally, a growing number of demonstrations and political acts are being staged inside malls, which are seen as symbols of consumption and the neoliberal capitalist system. The owners and managers of shopping centers condone and permit the least conflictive acts and ban and repress the remainder, on occasions with the support of state security forces. The relocation of civic life to malls reduces the use of public spaces and erodes the value of the public sphere. The article ends by proposing public actions to reverse this process.

Leveraging Motor Babbling for Efficient Robot Learning

Deep robotic learning by learning from demonstration allows robots to mimic a given demonstration and generalize their performance to unknown task setups. However, this generalization ability is heavily affected by the number of demonstrations, which can be costly to manually generate. Without sufficient demonstrations, robots tend to overfit to the available demonstrations and lose the robustness offered by deep learning. Applying the concept of motor babbling – a process similar to that by which human infants move their bodies randomly to obtain proprioception – is also effective for allowing robots to enhance their generalization ability. Furthermore, the generation of babbling data is simpler than task-oriented demonstrations. Previous researches use motor babbling in the concept of pre-training and fine-tuning but have the problem of the babbling data being overwritten by the task data. In this work, we propose an RNN-based robot-control framework capable of leveraging targetless babbling data to aid the robot in acquiring proprioception and increasing the generalization ability of the learned task data by learning both babbling and task data simultaneously. Through simultaneous learning, our framework can use the dynamics obtained from babbling data to learn the target task efficiently. In the experiment, we prepare demonstrations of a block-picking task and aimless-babbling data. With our framework, the robot can learn tasks faster and show greater generalization ability when blocks are at unknown positions or move during execution.

Shutdown policies and conflict worldwide

We provide evidence on the link between the policy response to the SARS CoV-2 pandemic and conflicts worldwide. We combine daily information on conflict events and government policy responses to limit the spread of SARS CoV-2 to study how demonstrations and violent events vary following shutdown policies. We use the staggered implementation of restriction policies across countries to identify the dynamic effects in an event study framework. Our results show that imposing a nation-wide shutdown is associated with a reduction in the number of demonstrations, which suggests that public demonstrations are hampered by the rising cost of participation. However, the reduction is short-lived, as the number of demonstrations are back to their pre-restriction levels in two months. In contrast, we observe that the purported increase in mobilization or coordination costs, following the imposition of restrictions, is not followed by a drop of violent events that involve organized armed groups. Instead, we find that the number of events, on average, increases slightly following the implementation of the restriction policies. The rise in violent events is most prominent in poorer countries, with higher levels of polarization, and in authoritarian countries. We discuss the potential channels underlying this heterogeneity.

Choosing from the repertoire of contention: Evidence from student protests in Latin America

ABSTRACT Introduction: Activists mobilize using various protest strategies to advance their demands but few studies analyze protest events to explain their choice of peaceful, disruptive, and violent methods. This paper argues that when movements have few supporters and allies - major resources for mobilization - they privilege violent tactics. Conversely, when mobilizations have more participants and partners, protests are more likely to use peaceful or disruptive strategies. Materials and methods: The paper uses a mixed methods research design. From a quantitative perspective, it uses a dataset of 4,700 college student protests in Latin America to test the theoretical claims with logistic regressions. A case study of protest tactics and resources during the December 2014-January 2015 youth protests in Lima, Peru is used to illustrate how human resources shape the repertoire of contention. This qualitative section uses evidence from interviews as well as secondary data. Results: The results of the regression analyses partially support the theory, showing that more participants tend to make protests more peaceful and disruptive and less violent. The effect of certain allies, however, goes against theoretical expectations. As the case study shows, after a relatively violent first march, young activists in Lima organized themselves on a territorial basis, which both decreased the influence of political parties in the movement and increased the number of activists and actors involved, making subsequent demonstrations less violent. However, the case study also shows that the presence of specific political actors is inherently associated with more violent strategies. Discussion: This paper shows how the presence of allies and the number of demonstrators, as major resources available to social movements, shape the choice of tactics used in protest events. While more participants and the presence of allies makes events more contained, the evidence also suggests that both very large numbers of participants and the addition of disparate actors into a mobilization may promote violence.

Indoor mobile robot navigation using deep convolutional neural network

Robot can help human in their everyday life and routine. These are not an indoor robot which was designed to perform desired task, but they can adapt to our environment by themselves and to learn from their own experiences. In this research we focus on high degree of autonomy, which is a must for social robots. For training purpose autonomous exploration and unknown environments is used along with proper algorithm so that robot can adapt to unknown environments. For testing purpose, simulation is carried with sensor fusion method, so that real world noise can be reduced and accuracy can be increased. This dissertation focuses on the intelligent robot control in autonomous navigation tasks and investigates the robot learning in following aspects. This method is based on human instinct of imitation. In this standard real time data set is provided to the robot for training purpose, it gets train from these data and generalize over all unseen potential situations and environments. Convolutional Neural Network is used to determine the probability and based on that robot can act. After acceptable number of demonstrations, robot can predict output with high accuracy and hence can acquire the independent navigation skills. State-of-the-art reinforcement learning techniques is used to train the robot via interaction with the robots. Convolutional Neural Network is also incorporated for fast generalization. Robot is train based on all past state-action pairs collected during interaction. This training model can predict output which helps robot for autonomous navigation.

Discreet motor skill acquisition: effect of number of visual demonstrations

This experiment investigated the effect of number of visual demonstrations on the acquisition of discreet motor skill. Seventy-four college students of both sex participated in this study. The participants observed a visual model twice or ten times. In the acquisition phase, the participants were asked to throw a dart with postero-anterior movement into a circle target until reach a learning criterion. In transfer tests no difference between groups was found in the analysis of score. However, ten demonstrations were more effective than twice as regards performance of the correct pattern of movement and the number of subjects who reached the performance criterion. The results show that the number of demonstrations has a specially marked effect on movement pattern.

Migration, acculturation, and the maintenance of between-group cultural variation.

How do migration and acculturation (i.e. psychological or behavioral change resulting from migration) affect within- and between-group cultural variation? Here I address this question by drawing analogies between genetic and cultural evolution. Population genetic models show that migration rapidly breaks down between-group genetic structure. In cultural evolution, however, migrants or their descendants can acculturate to local behaviors via social learning processes such as conformity, potentially preventing migration from eliminating between-group cultural variation. An analysis of the empirical literature on migration suggests that acculturation is common, with second and subsequent migrant generations shifting, sometimes substantially, towards the cultural values of the adopted society. Yet there is little understanding of the individual-level dynamics that underlie these population-level shifts. To explore this formally, I present models quantifying the effect of migration and acculturation on between-group cultural variation, for both neutral and costly cooperative traits. In the models, between-group cultural variation, measured using F statistics, is eliminated by migration and maintained by conformist acculturation. The extent of acculturation is determined by the strength of conformist bias and the number of demonstrators from whom individuals learn. Acculturation is countered by assortation, the tendency for individuals to preferentially interact with culturally-similar others. Unlike neutral traits, cooperative traits can additionally be maintained by payoff-biased social learning, but only in the presence of strong sanctioning mechanisms (e.g. institutions). Overall, the models show that surprisingly little conformist acculturation is required to maintain realistic amounts of between-group cultural diversity. While these models provide insight into the potential dynamics of acculturation and migration in cultural evolution, they also highlight the need for more empirical research into the individual-level learning biases that underlie migrant acculturation.

Preparing for campus demonstrations and protests: Four key focus areas

Over the past few years, the number of demonstrations and protests in Western countries has been increasing. These protests have tested the limits of free speech and expression, leading to individuals and groups attempting to, and in some cases succeeding in, shutting down speech with which they do not agree or find offensive. This has been particularly acute on college campuses, most notably at the University of California, Berkeley and Auburn University in Alabama, where speakers with far-right conservative views were forced to cancel their planned speeches because of safety and security concerns. As a result, colleges and universities throughout the USA are re-examining their policies and procedures for speaking engagements and demonstrations and protests, and how to manage them effectively while keeping their campus communities safe. This paper suggests methods by which universities can put into place policies, procedures and guidelines to minimise the possibility of an event becoming violent and overwhelming university resources while at the same time balancing the need for security and an environment that promotes the free exchange of ideas and expression.

The Year 2016: A Review of the Events Held in Six European Countries

The Year 2016: A Review of the Events Held in Six European Countries

A City Logistics Living Lab: A Methodological Approach

The field of city logistics can be characterized by its many local demonstrations and trials, that are quite often not lasting longer than the trial period. The number of demonstrations that continued and were implemented in daily practice is limited. Freight partnerships proved to be a good first step to engage stakeholders. This contribution proposes a new way to develop a more action-driven form of these partnerships that follows from a solution approach, which has proved successful worldwide in fostering innovation deployment, but has not yet been applied explicitly in the domain of City Logistics: Living Labs. The living lab approach ensures that the stakeholders are involved much earlier in the in planning and implementation processes, and that the proposed city logistics implementation is revised and continuously improved to meet stakeholder needs and obtain maximum impact for a long time. This contribution summarizes the steps that have to be taken to set-up and work in a city logistics living lab (CLLL). A CLLL can be defined as a dynamic test environment where complex city logistics innovations can be implemented, following a cyclical approach, where several solutions can be experimented and re-adjusted or improved to fit the real-life city challenges. In the Horizon 2020 project CITYLAB, we developed practical guidelines for establishing and running a city logistics living lab based on several living lab- and field test methodologies that enables stakeholders to set-up and run a CLLL. This contribution discusses the most important CLLL phases, roles, and characteristics, as well as the tools that are available. Next, this contribution shows the first results of cities in which CLLLs are actually set up, or already running.

Aktywność polityczna Polaków w świetle ewolucji postaw społeczno-politycznych związanych z przeobrażeniem systemu politycznego

The article analyses the political attitudes and behaviours of the citizens, and describes the content and dynamics of the changes occurring due to the evolution of the Polish political system. The analysis of political participation by Polish citizens is presented in relation to the theoretical construct of social attitudes as a foundation of democracy, as proposed by Dahl. In the context of society’s approach to democracy and trust in institutions, a comparative analysis has been presented of voter participation in subsequent parliamentary and local elections. The process of creating a civil society, including the various forms of participation in non-governmental organisations, has been presented in relation to attitudes such as cooperation, social trust and care for the common good.In order to illustrate the egocentric and particularistic attitudes, the activities of citizens involved in the politics of protest have been analysed. Recent years have seen a number of demonstrations; symbolic in nature and testimony to certain principles, which have been used here as material for the analysis of the ideological approach to political problems.To sum up the problem of political participation of Polish citizens, it can be said that the dynamics of the forms and content of political participation indicates a growing involvement of citizens in the governance process, which definitely makes a positive contribution to the development of democracy. It must be noted, however, that the political activity of a large part of society has not been motivated by pro-democratic attitudes. The high diversification, disparity and instability of attitudes translate into the forms and content of political participation.

The fill-in effect in serial recall can be obscured by omission errors.

Henson (1996) provided a number of demonstrations of error patterns in serial recall that contradict chaining models. Chaining models predict that when participants erroneously recall an item too early, recall should proceed from the point of error. In contradiction to such a prediction, Henson found evidence for a fill-in effect: participants were much more likely to revisit an erroneously skipped item than to continue onward to later list items. However, recent reanalyses of serial recall data sets have found evidence for the opposite pattern in serial recall experiments that use open sets of items. We tested the hypothesis that open sets of items produce fill-in effects by comparing serial recall with an open set and a closed set, and when participants were allowed and prohibited from skipping over responses, and comparing serial recall with a reconstruction of order task. Fill-in effects were observed in all cases except when participants were not encouraged to skip over responses. Subsequent analyses indicated that when omission rates were equated, a fill-in effect was observed for all conditions when lists contained no omissions. These results suggest that high omission rates in open-set designs obscure a fill-in effect and further sound a cautionary note about interpreting cases in which recall continues in the forward direction after a skipped response.

Prior-list intrusions in serial recall are positional.

Henson (1996) provided a number of demonstrations of error patterns in serial recall that contradict chaining models. One such error pattern concerned when participants make intrusions from prior lists: Rather than originating from random positions in the prior list, intrusions tend to be recalled in the same position as their position in the prior list, a finding which led to the endorsement of positional models of serial recall. However, all of the demonstrations of positional intrusions occurred in designs in which relatively small sets of items were repeatedly employed as stimuli. In recent years, a number of investigations have found evidence for chaining in designs in which large sets of items are employed and items are never reused across trials (open sets). We conducted 2 experiments using open sets of items to test whether a pure chaining model is a viable model for open-set conditions. Both experiments revealed that intrusions from the immediately preceding list exhibited a strong tendency to be output in the same position as their position in the prior list, suggesting the usage of positional representations in open-set designs. A chaining model that lacks positional representations provides an inadequate account of serial recall in open-set conditions.

Meeting the U.S. renewable fuel standard: a comparison of biofuel pathways

The production of renewable energy is undergoing rapid development. Ethanol primarily derived from corn and biodiesel made from recycled cooking oil and agricultural grains are established sources of renewable transportation fuel. Cellulosic ethanol production is increasing substantially, but at a rate below expectations. If future renewable fuel projections are to be accomplished, additional sources will be needed. Ideally, these sources should be independent of competing feedstock use such as food grains, and require a minimal footprint. Although the uses of algae seem promising, a number of demonstrations have not been economically successful in today‟s market. This paper identifies efforts being conducted on ethanol and biodiesel production and how algae might contribute to the production of biofuel in the United States. Additionally, the feedstock and land requirements of existing biofuel pathways are compared and discussed.

From cultural traditions to cumulative culture: parameterizing the differences between human and nonhuman culture

Diverse species exhibit cultural traditions, i.e. population-specific profiles of socially learned traits, from songbird dialects to primate tool-use behaviours. However, only humans appear to possess cumulative culture, in which cultural traits increase in complexity over successive generations. Theoretically, it is currently unclear what factors give rise to these phenomena, and consequently why cultural traditions are found in several species but cumulative culture in only one. Here, we address this by constructing and analysing cultural evolutionary models of both phenomena that replicate empirically attestable levels of cultural variation and complexity in chimpanzees and humans. In our model of cultural traditions (Model 1), we find that realistic cultural variation between populations can be maintained even when individuals in different populations invent the same traits and migration between populations is frequent, and under a range of levels of social learning accuracy. This lends support to claims that putative cultural traditions are indeed cultural (rather than genetic) in origin, and suggests that cultural traditions should be widespread in species capable of social learning. Our model of cumulative culture (Model 2) indicates that both the accuracy of social learning and the number of cultural demonstrators interact to determine the complexity of a trait that can be maintained in a population. Combining these models (Model 3) creates two qualitatively distinct regimes in which there are either a few, simple traits, or many, complex traits. We suggest that these regimes correspond to nonhuman and human cultures, respectively. The rarity of cumulative culture in nature may result from this interaction between social learning accuracy and number of demonstrators.

Development of thermoacoustic devices for power generation and refrigeration

This paper is intended as a technical overview of the research and development work initially undertaken at the University of Manchester and subsequently transferred to the University of Leicester as part of the EPSRC-funded SCORE project ( Stove for Cooking, Refrigeration and Electricity supply). The objectives of the work were twofold: Firstly, to develop an early demonstrator of a low-power electricity generator (to deliver approximately 10–20 W of electricity). This was to be based on the concept of using low-cost materials, working fluids and linear alternators suitable for deployment in rural areas of developing countries. The issues of concern here were the development of a suitable thermoacoustic engine topology and control measures; design of suitable heat exchanger configurations from initial use of electrical heaters to heat input through propane combustion; and characterisation of commercial loudspeakers to work as linear alternators and subsequent incorporation of selected models for engine prototyping purposes. These matters will be illustrated by a number of demonstrators and their testing in the laboratory environment. Secondly, to develop a demonstrator of a combustion driven thermoacoustic cooler for storage of vital medical supplies in remote and rural areas where there is no access to electricity grid. To this end, the paper will describe the design, construction and test results of an electrically driven demonstrator of a standing wave thermoacoustic engine coupled to a travelling wave thermoacoustic cooler. The final part of the paper will summarise the achievements to date and outline future work that has spun out from the original SCORE project. This will in particular include the current work on a scaled up version of electricity generator designed to deliver 100 W of electricity by using a two-stage engine configuration and the issues of integration of the thermoacoustic electricity generator and thermoacoustic cooler into one system.