Search results for: social research networks sites (SRNS)

Authors: Rachel A. Brant, Grace E. Kenny, Paige A. Muñiz, Gerardo R. Camilo

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The social sweat bee, Halictus ligatus, has been documented to alter its phenology as a response to changes in temporal dynamics of resources. Furthermore, H. ligatus exhibits polyethism in natural environments as a consequence of the variation in resources. Yet, we do not know if or how H. ligatus responds to these variations in urban environments. As urban environments become much more widespread, and human population is expected to reach nine billion by 2050, it is crucial to distinguish how resources are allocated by bees in cities. We hypothesize that in urban regions, where floral availability varies with human activity, H. ligatus will exhibit polyethism in order to match the extremely localized spatial variability of resources. We predict that in an urban setting, where resources vary both spatially and temporally, the phenology of H. ligatus will alter in response to these fluctuations. This study was conducted in Saint Louis, Missouri, at fifteen sites each varying in size and management type (community garden, urban farm, prairie restoration). Bees were collected by hand netting from 2013-2016. Results suggest that the largest individuals, mostly gynes, occurred in lower income neighborhood community gardens in May and August. We used a model averaging procedure, based on information theoretical methods, to determine a best model for predicting bee size. Our results suggest that month and locality within the city are the best predictors of bee size. Halictus ligatus was observed to comply with the predictions of polyethism from 2013 to 2015. However, in 2016 there was an almost complete absence of the smallest worker castes. This is a significant deviation from what is expected under polyethism. This could be attributed to shifts in planting decisions, shifts in plant-pollinator matches, or local climatic conditions. Further research is needed to determine if this divergence from polyethism is a new strategy for the social sweat bee as climate continues to alter or a response to human dominated landscapes.

Keywords: polyethism, urban environment, phenology, social sweat bee

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Authors: Efe Mary Isike

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The variety of relationships between migrants and host communities is an enduring theme of migration studies. On one extreme, there are numerous examples of hostility towards ‘strangers’ who are either ejected from society or denied access to jobs, housing, education, healthcare and other aspects of normal life. More moderate treatments of those identified as different include expectations of assimilation in which host communities expect socially marginalized groups to conform to norms that they define. Both exclusion and assimilation attempt to manage the problem of difference by removing it. South Africa experienced great influx of African immigrants who worked in mines and farms under harsh and exploitative conditions before and after the institutionalization of apartheid. Although these labour migrants contributed a great deal to the economic development of South Africa, they were not given citizenship status. The formal democratization in 1994 came with dreams and expectations of a more inclusive South Africa, where black South Africans hoped to maximize their potential in a more free, fair and equal society. In the same vein, it also opened spaces for an influx of especially African immigrants into the country which set the stage for a new form of contest for belonging between South African citizens and African migrant settlers. One major manifestation of this contest was the violent xenophobic attacks against African immigrants which predate that of May 2008 and has continued with lower intensity across the country since then. While it is doubtless possible to find abundant evidence of antagonism in the relations between South Africans and African immigrants, the purpose of this study is to investigate the everyday realities of migrants in ordinary places who interact with a variety of people through their livelihood activities, marriages and social relationships, moving around towns and cities, in their residential areas, in faith-based organizations and other elements of everyday life. Rather than assuming all relations are hostile, this study intends to look at the breadth of everyday relationships within a specific context. Based on the foregoing, the main task of this study is to holistically examine and explain the nature of interactions between African migrants and South African citizens by analysing the social network ties that connect them in the specific case of Umhlathuze municipality. It will also investigate the variety of networks that exists between African migrants and South Africans and examine the nature of the linkages in the various networks identified between these two groups in Umhlathuze Municipality. Apart from a review of relevant literature, policies and other official documents, this paper will employ a purposive sample survey and in-depth interview of African immigrants and South Africans within their networks in selected suburbs in KwaZulu-Natal.

Keywords: migration, networks, development, host communities

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Authors: Kahina Amal Djiar, Mouna Gharbi, Maha Messaoudene, Oumelkheir Chareb

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Over the last decade, Algerian authorities have implemented an ambitious program of urban renewal, which includes important relocation operations. The objectives behind such strategic interventions are on the one hand, to carry out an incremental approach aiming at eradicating precarious housing and on the other hand, to diversify alternative housing options for families requiring better living spaces. It is precisely for these same purposes that the Djenan el-Hassan and Carrières Jaubert estates, which are both located in Algiers, have undergone major urban transformations. These dwelling sites were built as part of the famous "Battle of Housing", which was launched by French colonial administration in the 1950s just before the independence of Algeria in 1962. Today, the Djenan el-Hassan estate is almost entirely demolished following the relocation of 171 families. The Carrières Jaubert estate, for its part, has seen two kinds of operations. The first has been shaped by a process of urban requalification and redevelopment, which allowed some of the residents to stay on site after the transformation of most housing cells into larger apartments. The second operation has required the relocation of over 300 families to entirely newly built dwellings. Such projects of urban renewal are supposed to create new opportunities, not only in terms of local urban development, but also in terms of social perspectives for those families who are involved, either directly or indirectly, in the process of relocation. In fact, the percentage of urban violence in Algiers has increased instead. Recent events in the newly built estates show that residents are repeatedly experiencing and even instigating episodes of brutality, hostility and aggression. The objective of this paper is to examine the causes that have engendered such rise in urban violence in newly built housing estates in Algiers. This paper aims to present the findings of a recent qualitative research and highlight the way that poorly designed neighbourhood, combined with a relocation process that leaves little room for community participation, create inevitably severe social tensions.

Keywords: relocation, social housing, violence, Algiers

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Authors: Yasser F. Hassan

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The reduction or removal of noise in a color image is an essential part of image processing, whether the final information is used for human perception or for an automatic inspection and analysis. This paper describes the modeling system based on the rough neural network model to adaptive cellular automata for various image processing tasks and noise remover. In this paper, we consider the problem of object processing in colored image using rough neural networks to help deriving the rules which will be used in cellular automata for noise image. The proposed method is compared with some classical and recent methods. The results demonstrate that the new model is capable of being trained to perform many different tasks, and that the quality of these results is comparable or better than established specialized algorithms.

Keywords: rough sets, rough neural networks, cellular automata, image processing

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Authors: Bianca Price, Jennifer Stokes

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Academic and social support systems are critical for students in enabling education; these support systems have the potential to enhance the student experience whilst also serving a vital role for student retention. In the context of international moves toward widening university participation, Australia has developed enabling programs designed to support underrepresented students to access to higher education. The purpose of this study is to examine the effectiveness of a mentor program based within an enabling course. This study evaluates how the mentor program supports new students to develop social networks, improve retention, and increase satisfaction with the student experience. Guided by Social Learning Theory (SLT), this study highlights the benefits that can be achieved when students engage in peer-to-peer based mentoring for both social and learning support. Whilst traditional peer mentoring programs are heavily based on face-to-face contact, the present study explores the difference between mentors who provide face-to-face mentoring, in comparison with mentoring that takes place through the virtual space, specifically via a virtual community in the shape of a Facebook group. This paper explores the differences between these two methods of mentoring within an enabling program. The first method involves traditional face-to-face mentoring that is provided by alumni students who willingly return to the learning community to provide social support and guidance for new students. The second method requires alumni mentor students to voluntarily join a Facebook group that is specifically designed for enabling students. Using this virtual space, alumni students provide advice, support and social commentary on how to be successful within an enabling program. Whilst vastly different methods, both of these mentoring approaches provide students with the support tools needed to enhance their student experience and improve transition into University. To evaluate the impact of each mode, this study uses mixed methods including a focus group with mentors, in-depth interviews, as well as engaging in netnography of the Facebook group ‘Wall’. Netnography is an innovative qualitative research method used to interpret information that is available online to better understand and identify the needs and influences that affect the users of the online space. Through examining the data, this research will reflect upon best practice for engaging students in enabling programs. Findings support the applicability of having both face-to-face and online mentoring available for students to assist enabling students to make a positive transition into University undergraduate studies.

Keywords: enabling education, mentoring, netnography, social learning theory

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Authors: Nashrawan Naser Taha, Andrew M. Cox

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In a multi-cultural learning context, where ties are weak and dynamic, combining qualitative with quantitative research methods may be more effective. Such a combination may also allow us to answer different types of question, such as about people’s perception of the network. In this study the use of observation, interviews and photos were explored as ways of enhancing data from social network questionnaires. Integrating all of these methods was found to enhance the quality of data collected and its accuracy, also providing a richer story of the network dynamics and the factors that shaped these changes over time.

Keywords: mixed methods, social network analysis, multi-cultural learning, social network dynamics

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Authors: Roghayeh Karami, Ahmad Gharaei

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Backgrounds and objectives: This study was undertaken at four different sites (north polluted, south polluted, south healthy and north healthy) in Tehran, in order to examine whether there was a relationship between publicly available air quality data and the public’s perception of air quality and to suggest some guidelines for reducing air pollution. Materials and Methods: A total of 200 people were accidentally filled out the research questionnaires at mentioned sites and air quality data were obtained simultaneously from the Air Quality Control Department. Data was analyzed in Excel and SPSS software. Results: Clean air and secure job were of great importance to people comparing to other pleasant aspect of life. Also air pollution and fear of dangerous diseases were the most important of people concerns. The Indies bored /news paper services on air quality were little used by the public as a means of obtaining information on air pollution. Using public transportation and avoid unessential journeys are the most important ways for reducing air pollution. Conclusion: The results reveal that the public’s perception of air quality is not a reliable indicator of the actual levels of air pollution. Current earths to down actions are not effective and enough in reducing air pollution, therefore it seems participatory management and public participation is suitable guideline.

Keywords: air pollution, quality of life, opinion poll, public participation

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Authors: Raquel M. De sousa, Sofiane Labidi, Allan Kardec D. Barros, Alex O. Barradas Filho, Aldalea L. B. Marques

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Several parameters are established in order to measure biodiesel quality. One of them is the iodine value, which is an important parameter that measures the total unsaturation within a mixture of fatty acids. Limitation of unsaturated fatty acids is necessary since warming of a higher quantity of these ones ends in either formation of deposits inside the motor or damage of lubricant. Determination of iodine value by official procedure tends to be very laborious, with high costs and toxicity of the reagents, this study uses an artificial neural network (ANN) in order to predict the iodine value property as an alternative to these problems. The methodology of development of networks used 13 esters of fatty acids in the input with convergence algorithms of backpropagation type were optimized in order to get an architecture of prediction of iodine value. This study allowed us to demonstrate the neural networks’ ability to learn the correlation between biodiesel quality properties, in this case iodine value, and the molecular structures that make it up. The model developed in the study reached a correlation coefficient (R) of 0.99 for both network validation and network simulation, with Levenberg-Maquardt algorithm.

Keywords: artificial neural networks, biodiesel, iodine value, prediction

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Authors: N. Ojaroudi Parchin, H. Jahanbakhsh Basherlou, Y. Al-Yasir, A. M. Abdulkhaleq, R. A. Abd-Alhameed, P. S. Excell

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A compact design of multi-sector patch antenna array for 60 GHz applications is presented and discussed in details. The proposed design combines five 1×8 linear patch antenna arrays, referred to as sectors, in a multi-sector configuration. The coaxial-fed radiation elements of the multi-sector array are designed on 0.2 mm Rogers RT5880 dielectrics. The array operates in the frequency range of 58-62 GHz and provides switchable directional/omnidirectional radiation beams with high gain and high directivity characteristics. The designed multi-sector array exhibits good performances and could be used in the fifth generation (5G) cellular networks.

Keywords: mm-wave communications, multi-sector array, patch antenna, small cell networks

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Authors: Sumaya Iqbal, Aijaz Ahmad Reshi

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The advances in sensor and embedded technologies have led to rapid developments in Wireless Sensor Networks (WSNs). Presently researchers focus on the integration of WSNs to Internet for their pervasive availability to access these network resources as the interoperable subsystems. The recent computing technologies like cloud computing has made the resource sharing as a converged infrastructure with required service interfaces for the shared resources over the Internet. This paper presents application architecture for wireless Sensor and Actuator Networks (WSANS) following web of things, which allows easy integration of each node to the Internet in order to provide them web accessibility. The architecture enables the sensors and actuator nodes accessed and controlled using cloud interface on WWW. The application architecture was implemented using existing web and its emerging technologies. In particular Representational State Transfer protocol (REST) was extended for the specific requirements of the application. Cloud computing environment has been used as a development platform for the application to assess the possibility of integrating the WSAN nodes to Cloud services. The mushroom farm environment monitoring and control using WSANs has been taken as a research use case.

Keywords: WSAN, REST, web of things, ZigBee, cloud interface, PaaS, sensor gateway

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Authors: Nuwan Kuruwitaarachchi, M. K. M. Peiris, C. N. Madawala, K. M. A. R. Perera, V. U. N Perera

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Dealing with businesses with the foreign market always took a special place in a country’s economy. Political and social factors came into play making currency rate changes fluctuate rapidly. Currency rate prediction has become an important factor for larger international businesses since large amounts of money exchanged between countries. This research focuses on comparing the accuracy of mainly three models; Autoregressive Integrated Moving Average (ARIMA), Artificial Neural Networks(ANN) and Support Vector Machines(SVM). series of data import, export, USD currency exchange rate respect to LKR has been selected for training using above mentioned algorithms. After training the data set and comparing each algorithm, it was able to see that prediction in SVM performed better than other models. It was improved more by combining SVM and SVR models together.

Keywords: ARIMA, ANN, FFNN, RMSE, SVM, SVR

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Authors: Nadeem Akhtar, An Ran, Cornelius B. Pratt

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China’s President Xi' vision of Belt and Road Initiative, an infrastructural project of development and connectivity, is attracting international students to Chinese universities, with Pakistan and India among the top-10 countries of origin of those students (Ministry of Education China, 2018). An additional factor in international students’ interest in Chinese universities is their improving global rankings of Chinese universities. Against that backdrop, this study addresses two overarching questions: (a) What factors explain South Asian students’ study-away experiences, particularly in their multicultural environments? and (b) What role do new media play in their adaptation to that environment? This study is guided by Stephen’s (2011) theoretical model, which suggests that social networks influence immigrants’ interactions with host and home culture. The present study used a structured questionnaire distributed through both WeChat and other online platforms to international students studying in Chinese universities. Preliminary results are threefold: (a) that the frequency of use of social media is a predictor of the level of adjustment of the students to their multicultural environment; (b) that social engagement with their international-student peers is a moderating factor in their experiential outcomes; and (c) length of stay in Chinese universities, surprisingly, was not a predictor of adaptation. A major implication of these findings is that, even though social media tend to be criticized for contributing to anomie and to diminishing social capital among youths and millennials, they can be poignant tools for cultural adaptation, particularly among international students in China. It remains to be seen if such outcomes occur among international students in other countries or world regions.

Keywords: adaptation, China's Belt and Road Initiative, international students, social media

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Authors: Ayşe Duygu Kaçar

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Industrial regions and buildings that have stopped their primary functions are in the interest of the discipline of architecture in the last decades. The renewal of these spaces of production for different functions is a common aspect for contemporary world countries. Totally different functions can be added to the existing as well, which can help improving the social, cultural and aesthetic character of these beings and sustaining their uniqueness. Therefore, these sites linking the past and future can be used as museums, exhibition centers, art ateliers, city parks, recreational centers, botanic gardens, sculpture parks, theatres, etc. in order to continue their place in the collective memory of the cities. The present paper depicts a way of shedding light on the Cotton Textile Industry (İplik ve Dokuma Fabrikası A.Ş), a local industrial site in Antalya, the most popular tourism center of Turkey, as a part of International Architecture Biennale, 2011 and on Lohberg coal mine, a local industrial site in the Ruhr region of Germany. As a transparent, fragile, temporary and economical material, the string was used as a design element in both experiential architecture works with architecture students and the outcomes will be discussed and presented through the theme 'rejecting / reversing architecture'.

Keywords: industrial sites, the Cotton Textile Industry Antalya, Lohberg coal mine, architectural design, identity

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Authors: Roman Koky, Sylvie Graf

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The relationship between the Roma and members of the majority is tense across Europe due to the fact that the Roma people are the most stigmatized minorities. Studies show that Roma is discriminated against on all levels of society. Improving intergroup relations between the Roma and members of the majority (i.e., non-Roma) is thus one of the most pressing issues of social psychological research. Intergroup contact theory is one of the most effective strategies for improving intergroup relations. However, current research has some limitations, such as the fact that most researchers focus primarily on the perspective of the majority, while the perspective of minorities (e.g., the Roma) is largely missing. Due to the persisting segregation of Roma, and thus the lack of opportunities for direct intergroup contact between the Roma and the majority, using direct intergroup contact as an intervention to reduce prejudice is difficult. In this research, we, therefore, focused on the effect of indirect forms of intergroup contact, particularly extended contact (i.e., experiences with outgroup members shared by fellow ingroup members such as friends or family). Extended contact functions as a descriptive social norm that informs about the actual amount of contact in one’s environment. In a group of Czech Roma (N = 226), the descriptive social norm was associated with ingroup injunctive social norm (e.g., the perceived support of intergroup contact with non-Roma by fellow ingroup members) and lower amount of prejudice toward the non-Roma. We discuss the findings with respect to possibilities to improve the relations between Roma and members of the majority across Europe.

Keywords: intergroup contact, prejudice, majority, minority, social norms

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Authors: Javier Fernandez De Canete, Alvaro Fernandez-Quintero

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Nowadays, adaptive control schemes are being used when model based control schemes are applied in presence of uncertainty and model mismatches. Artificial neural networks have been employed both in modelling and control of non-linear dynamic systems with unknown dynamics. In fact, these are powerful tools to solve this control problem when only input-output operational data are available. A neural network controller under SIMULINK together with the ARDUINO hardware platform has been used to perform real-time speed control of a computer case fan. Comparison of performance with a PID controller has also been presented in order to show the efficacy of neural control under different command signals tracking and also when disturbance signals are present in the speed control loops.

Keywords: neural networks, ARDUINO platform, SIMULINK, adaptive speed control

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Authors: Tarek Sadraoui, Ahlem Nasr Othman

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Our research deal with studying and testing the effects of social media on the cryptocurrency price during the period 2020-2023. The rise of the phenomena of cryptocurrency in the world raises questions about the importance of sentiment analysis of social media on the price of the cryptocurrency. Using panel data, we show that the positive and negative twits have a positive and statistically significant impact on the price of the cryptocurrency, and neutral twits have exerted a negative and significant effect on the cryptocurrency price. Specifically, we determine the causal relationship, short-term and long-term relationship with ARDL approach between the cryptocurrency price and social media using the Granger causality test.

Keywords: social media, Twitter, Google trend, panel, cryptocurrency

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Authors: Hritwik Ghosh, Irfan Sadiq Rahat, Sachi Nandan Mohanty, J. V. R. Ravindra

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In the rapidly evolving landscape of medical diagnostics, the early detection and accurate classification of skin cancer remain paramount for effective treatment outcomes. This research delves into the transformative potential of Artificial Intelligence (AI), specifically Deep Learning (DL), as a tool for discerning and categorizing various skin conditions. Utilizing a diverse dataset of 3,000 images representing nine distinct skin conditions, we confront the inherent challenge of class imbalance. This imbalance, where conditions like melanomas are over-represented, is addressed by incorporating class weights during the model training phase, ensuring an equitable representation of all conditions in the learning process. Our pioneering approach introduces a hybrid model, amalgamating the strengths of two renowned Convolutional Neural Networks (CNNs), VGG16 and ResNet50. These networks, pre-trained on the ImageNet dataset, are adept at extracting intricate features from images. By synergizing these models, our research aims to capture a holistic set of features, thereby bolstering classification performance. Preliminary findings underscore the hybrid model's superiority over individual models, showcasing its prowess in feature extraction and classification. Moreover, the research emphasizes the significance of rigorous data pre-processing, including image resizing, color normalization, and segmentation, in ensuring data quality and model reliability. In essence, this study illuminates the promising role of AI and DL in revolutionizing skin cancer diagnostics, offering insights into its potential applications in broader medical domains.

Keywords: artificial intelligence, machine learning, deep learning, skin cancer, dermatology, convolutional neural networks, image classification, computer vision, healthcare technology, cancer detection, medical imaging

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Authors: Craig Wight

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Tourism visits to sites associated to varying degrees with death and dying have for some time inspired academic debate and research into what has come to be popularly described as ‘dark tourism’. Research to date has been based on the mobilisation of various social scientific methodologies to understand issues such as the motivations of visitors to consume dark tourism experiences and visitor interpretations of the various narratives that are part of the consumption experience. This thesis offers an alternative conceptual perspective for carrying out research into dark tourism by presenting a discourse analysis of Lithuanian occupation-themed museums using Foucault’s concept of ‘discursive formation’ from ‘Archaeology of Knowledge’. A constructivist methodology is therefore applied to locate the rhetorical representations of Lithuanian and Jewish subject positions and to identify the objects of discourse that are produced in five museums that interpret a historical era defined by occupation, the persecution of people and genocide. The discourses and consequent cultural function of these museums are examined, and the key finding of the research proposes that they authorise a particular Lithuanian individualism which marginalises the Jewish subject position and its related objects of discourse into abstraction. The thesis suggests that these museums create the possibility to undermine the ontological stability of Holocaust and the Jewish-Lithuanian subject which is produced as an anomalous, ‘non-Lithuanian’ cultural reference point. As with any Foucauldian archaeological research, it cannot be offered as something that is ‘complete’ since it captures only a partial field, or snapshot of knowledge, bound to a specific temporal and spatial context. The discourses that have been identified are perhaps part of a more elusive ‘positivity’ which is salient across a number of cultural and political surfaces which are ripe for a similar analytical approach in future. It is hoped that the study will motivate others to follow a discourse-analytical approach to research in order to further understand the critical role of museums in public culture when it comes to shaping knowledge about ‘inconvenient’ pasts.

Keywords: genocide heritage, foucault, Lithuanian tourism, discursive formatoin

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Authors: Sarah Alkhateeb

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This research explores the Jordanian traditional dress of women as a form of cultural heritage. The dress of the Jordanian woman expresses her social and cultural functions and reflects the local environment in its social and cultural frameworks and the determinants of the natural formation of climate and terrain, in addition to what is expressed by the person’s social status and position in the social ladder of any society. Therefore, the traditional dress of Jordanian women is distinguished by its abundance and diversity. Few studies have been conducted on the Jordanian traditional dress of women, the lack of studies about the Jordanian traditional dress of women needs highlighting and the characteristics of this dress have to be featured and documented as a part of cultural heritage. The main aim of this research is to contribute or to develop a conservation strategy to save this part of cultural heritage from loss. In this research, the qualitative method approach will be used and will follow the ethnographic method. The data will be gathered from a primary source which is the single focus group discussion with the TIRAZ museum team; the Jordanian traditional dress will be explored across three regions: The North, Middle and South of Jordan, investigating the regional differences and focusing on the details of the individual garment.

Keywords: Jordanian traditional dress, cultural heritage, tiraz museum, ethnographic method

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Authors: Lam Hong Lan

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The textile industry is said to be the second-largest polluter, responsible for 92 million tonnes of waste annually. There is an urgent need to practice the circular economy to increase the use and reuse around the world. By its nature, the pre-owned fashion business is considered part of the circular economy as it helps to eliminate waste and circulate products. Second-hand clothes and accessories used to be associated with a ‘cheap image’ that carried ‘old energy’ in Vietnam. This perception has been shifted, especially amongst the younger generation. Vietnamese consumer is spending more on products and services that increase self-esteem. The same consumer is moving away from a collectivist social identity towards a ‘me, not we’ outlook as they look for a way to express their individual identity. And pre-owned fashion is one of their solutions as it values money, can create a unique personal style for the wearer and links with sustainability. The design of this study is based on the second-hand shopping motivation theory. A semi-structured online survey with 100 consumers from one pre-owned clothing community and one pre-owned e-commerce site in Vietnam. The findings show that in contrast with Vietnamese older consumers (55+yo) who, in the previous study, generally associated pre-owned fashion with ‘low-cost’, ‘cheap image’ that carried ‘old energy’, young customers (20-30 yo) were actively promoted their pre-owned fashion items to the public via outlet’s social platforms and their social media. This cultural shift comes from the impact of global and local discourse around sustainable fashion and the growth of digital platforms in the pre-owned fashion business in the last five years, which has generally supported wider interest in pre-owned fashion in Vietnam. It can be summarised in three areas: (1) global and local celebrity influencers. A number of celebrities have been photographed wearing vintage items in music videos, photoshoots or at red carpet events. (2) E-commerce and intermediaries. International e-commerce sites – e.g., Vinted, TheRealReal – and/or local apps – e.g., Re.Loved – can influence attitudes and behaviors towards pre-owned consumption. (3) Eco-awareness. The increased online coverage of climate change and environmental pollution has encouraged customers to adopt a more eco-friendly approach to their wardrobes. While sustainable biomaterials and designs are still navigating their way into sustainability, sustainable consumerism via pre-owned fashion seems to be an immediate solution to lengthen the clothes lifecycle. This study has found that young consumers are primarily seeking value for money and/or a unique personal style from pre-owned/vintage fashion while using these purchases to promote their own “eco-awareness” via their social media networks. This is a good indication for fashion designers to keep in mind in their design process and for fashion enterprises in their business model’s choice to not overproduce fashion items.

Keywords: cultural shift, pre-owned fashion, sustainable consumption, sustainable fashion.

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Authors: P. Weerkamp Bartholomeus

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Autism treatment evaluation is crucial for monitoring the development of an intervention at an early stage. ‘ReAttach’ is a new intervention based on the principles of attachment and social cognitive training. Practical research suggests promising results on a variety of developmental areas. Five years after the first ReAttach sessions these findings can be extended with qualitative research by means of follow-up interviews. The potential impact of this treatment on daily life functioning and well-being of autistic persons becomes clear.

Keywords: autism, innovation, treatment, social cognitive training

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Authors: Ravinder Barn, Balbir Barn

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This paper outlines ethical and practical challenges in the building of social technology for use with socially excluded and marginalised groups. The primary aim of this study was to design, deploy and evaluate social technology that may help to promote better engagement between case workers and young people to help prevent recidivism, and support young people’s transition towards social inclusion in society. A total of 107 practitioners/managers (n=64), and young people (n=43) contributed to the data collection via surveys, focus groups and 1-1 interviews. Through a process of co-design where end-users are involved as key contributors to social technological design, this paper seeks to make an important contribution to the area of participatory methodologies by arguing that whilst giving ‘voice’ to key stakeholders in the research process is crucial, there is a risk that competing voices may lead to tensions and unintended outcomes. The paper is contextualized within a Foucauldian perspective to examine significant concepts including power, authority and surveillance. Implications for youth justice policy and practice are considered. The authors conclude that marginalized youth and over-stretched practitioners are better served when such social technology is perceived and adopted as a tool of empowerment within a framework of child welfare and child rights.

Keywords: youth justice, social technology, marginalization, participatory research, power

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Authors: Hasan Heydari

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In recent decades, locating urban services is one of the significant discussions in urban planning. Among these considerations, cities require more accurate planning in order to supply citizen needs, especially part of urban safety. In order to gain this goal, one of the main tasks of urban planners and managers is specifying suitable sites to locate firefighting stations. This study has been done to reach this purpose. Therefore effective criteria consist of coverage radius, population density, proximity to pathway network, land use (compatible and incompatible neighborhood) have been specified. After that, descriptive and local information of the criteria was provided and their layers were created in ArcGIS 9.3. Using Analytic Hierarchy Process (AHP) these criteria and their sub-criteria got the weights. These layers were classified regarding their weights and finally were overlaid by Index Overlay Model and provided the final site selection map for firefighting stations of Arak city. The results gained by analyzing in GIS environment indicate the existing fire station don’t cover the whole city sufficiently and some of the stations have established on the unsuitable sites. The output map indicates the best sites to locate firefighting stations of Arak.

Keywords: site-selection, firefighting stations, analytic hierarchy process (AHP), GIS, index overlay model

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Authors: P. R. Dushantha Chaminda, Peng Kai

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In this review paper, we enclose the thought of wireless ad hoc networks and particularly mobile ad hoc network (MANET), their field of study, intention, concern, benefit and disadvantages, modifications, with relation of AODV routing protocol. Mobile computing is developing speedily with progression in wireless communications and wireless networking protocols. Making communication easy, we function most wireless network devices and sensor networks, movable, battery-powered, thus control on a highly constrained energy budget. However, progress in battery technology presents that only little improvements in battery volume can be expected in the near future. Moreover, recharging or substitution batteries is costly or unworkable, it is preferable to support energy waste level of devices low.

Keywords: wireless ad hoc network, energy efficient routing protocols, AODV, EOAODV, AODVEA, AODVM, AOMDV, FF-AOMDV, AOMR-LM

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Authors: Iram Malik, Mahrukh Shaukat, Abeer Malik, Hafiz Mushtaq Ahmad

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There has been a lot of research on cyberbullying but there is limited research on the topic of accidental cyberbullying on social media with a special focus on healthcare industry. This study emphasizes to uncover the factors that contribute to accidental cyberbullying on social media and how it affects individuals, professionals’ and organizations in health care sector. Nowadays social media is becoming a necessary part of our daily life; there is a need to look into how it is shaping our social life and behaviors displayed online. Instances of cyber bullying can have long-term repercussions due to over-sharing of information. The study used simple random sampling and the instrument of data collection was survey. A sample size of 250 healthcare professionals was chosen from the twin cities of Rawalpindi and Islamabad, Pakistan to examine the relationship between their attitude towards internet use, psychological distress, verbal aggression, envy, frustration, self-compassion, personality traits and accidental cyberbullying on social media. The results of the study have been encouraging. The findings show that psychological distress, aggression, envy, frustration and personality traits had direct effect on accidental cyberbullying whereas compassion, altruism lessened the effect of accidental cyberbullying behavior. It is our intent that the findings of this study could help raise awareness regarding fair use of social media, help policy makers in developing appropriate policies for avoiding cyberbullying in future.

Keywords: accidental cyberbullying, aggression, cyberbullying, frustration, social media

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Authors: Y. Ruchi, A. Prerna, S. Deepshikha

Abstract:

Amyotrophic lateral sclerosis (ALS), also known as “Lou Gehrig’s disease”. It is a neurodegenerative disease associated with degeneration of motor neurons in the cerebral cortex, brain stem, and spinal cord characterized by distal muscle weakness, atrophy, normal sensation, pyramidal signs and progressive muscular paralysis reflecting. ALS2 is a juvenile autosomal recessive disorder, slowly progressive, that maps to chromosome 2q33 and is associated with mutations in the alsin gene, a putative GTPase regulator. In this paper we have done homology modeling of alsin2 protein using multiple templates (3KCI_A, 4LIM_A, 402W_A, 4D9S_A, and 4DNV_A) designed using the Prime program in Schrödinger software. Further modeled structure is used to identify effective binding sites on the basis of structural and physical properties using sitemap program in Schrödinger software, structural and function analysis is done by using Prosite and ExPASy server that gives insight into conserved domains and motifs that can be used for protein classification. This paper summarizes the structural, functional and binding site property of alsin2 protein. These binding sites can be potential drug target sites and can be used for docking studies.

Keywords: ALS, binding site, homology modeling, neuronal degeneration

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Authors: Constanza Monterrubio-Solis, Jose Tomas Ibarra

Abstract:

The fertile interdependence of social-ecological systems reveals itself in the interactions between native forests and seeds, home gardens, kitchens, foraging activities, local knowledge, and food practices, creating particular flavors and food meanings as part of cultural identities within territories. Resilience in local-food systems, from a relational perspective, can be understood as the balance between persistence and adaptability to change. Food growing, preparation, and consumption are constantly changing and adapting as expressions of agency of female and male indigenous peoples and peasants. This paper explores local food systems’ expressions of resilience in the la Araucanía region of Chile, namely: diversity, redundancy, buffer capacity, modularity, self-organization, governance, learning, equity, and decision-making. Applying ethnographic research methods (participant observation, focus groups, and semi-structured interviews), this work reflects on the experience developed through work with Mapuche women cultivating home gardens in the region since 2012; it looks to material and symbolic elements of resilience in the local indigenous food systems. Local food systems show indeed indicators of social-ecological resilience. The biocultural memory is expressed in affection to particular flavors and recipes, the cultural importance of seeds and reciprocity networks, as well as an accurate knowledge about the indicators of the seasons and weather, which have allowed local food systems to thrive with a strong cultural foundation. Furthermore, these elements turn into biocultural resistance in the face of the current institutional pressures for rural specialization, processes of cultural assimilation such as agroecosystems and diet homogenization, as well as structural threats towards the diversity and freedom of native seeds. Thus, the resilience-resistance dynamic shown by the social-ecological systems of the southern Andes is daily expressed in the local food systems and flavors and is key for diverse and culturally sound social-ecological health.

Keywords: biocultural heritage, indigenous food systems, social-ecological resilience, southern Andes

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Authors: Gałka Aleksandra, Jelińska Justyna, Masiak Albert, Walentukiewicz Krzysztof

Abstract:

An offline signature is well-known however not the safest way to verify identity. Nowadays, to ensure proper authentication, i.e. in banking systems, multimodal verification is more widely used. In this paper the online signature analysis based on dynamic time warping (DTW) coupled with machine learning approaches has been presented. In our research signatures made with biometric pens were gathered. Signature features as well as their forgeries have been described. For verification of authenticity various methods were used including convolutional neural networks using DTW matrix and multilayer perceptron using sums of DTW matrix paths. System efficiency has been evaluated on signatures and signature forgeries collected on the same day. Results are presented and discussed in this paper.

Keywords: dynamic time warping, handwritten signature verification, feature-based recognition, online signature

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Authors: Giselle Maggie-Fer Castañeda Lozano

Abstract:

The main objective of this research was to explore the role of neural network architectures in simulating behavioral phenomena as a potential explanation for selective associations, specifically related to biological constraints on learning. Biological constraints on learning refer to the limitations observed in conditioning procedures, where learning is expected to occur. The study involved simulations of five different experiments exploring various phenomena and sources of biological constraints in learning. These simulations included the interaction between response and reinforcer, stimulus and reinforcer, specificity of stimulus-reinforcer associations, species differences, neuroanatomical constraints, and learning in uncontrolled conditions. The overall results demonstrated that by manipulating neural network architectures, conditions can be created to model and explain diverse biological constraints frequently reported in comparative psychology literature as learning typicities. Additionally, the simulations offer predictive content worthy of experimental testing in the pursuit of new discoveries regarding the specificity of learning. The implications and limitations of these findings are discussed. Finally, it is suggested that this research could inaugurate a line of inquiry involving the use of neural networks to study biological factors in behavior, fostering the development of more ethical and precise research practices.

Keywords: comparative psychology, connectionism, conditioning, experimental analysis of behavior, neural networks

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Authors: T. Lakshmi Priya

Abstract:

With the widening definition of heritage, the challenges of heritage management has become more complex . Today heritage not only includes significant monuments but comprises historic areas / sites, historic cities, cultural landscapes, and living heritage sites. There is a need for a comprehensive understanding of the values associated with these heritage resources, which will enable their protection and management. These diverse cultural resources are managed by multiple agencies having their own way of operating in the heritage sites. An Integrated approach to management of these cultural resources ensures its sustainability for the future generation. This paper outlines the importance of an integrated approach for the management and protection of complex heritage sites in India by examining four case studies. The methodology for this study is based on secondary research and primary surveys conducted during the preparation of the conservation management plansfor the various sites. The primary survey included basic documentation, inventorying, and community surveys. Red Fort located in the city of Delhi is one of the most significant forts built in 1639 by the Mughal Emperor Shahjahan. This fort is a national icon and stands testimony to the various historical events . It is on the ramparts of Red Fort that the national flag was unfurled on 15th August 1947, when India became independent, which continues even today. Management of this complex fort necessitated the need for an integrated approach, where in the needs of the official and non official stakeholders were addressed. The understanding of the inherent values and significance of this site was arrived through a systematic methodology of inventorying and mapping of information. Hampi, located in southern part of India, is a living heritage site inscribed in the World Heritage list in 1986. The site comprises of settlements, built heritage structures, traditional water systems, forest, agricultural fields and the remains of the metropolis of the 16th century Vijayanagar empire. As Hampi is a living heritage site having traditional systems of management and practices, the aim has been to include these practices in the current management so that there is continuity in belief, thought and practice. The existing national, regional and local planning instruments have been examined and the local concerns have been addressed.A comprehensive understanding of the site, achieved through an integrated model, is being translated to an action plan which safeguards the inherent values of the site. This paper also examines the case of the 20th century heritage building of National Archives of India, Delhi and protection of a 12th century Tomb of Sultan Ghari located in south Delhi. A comprehensive understanding of the site, lead to the delineation of the Archaeological Park of Sultan Ghari, in the current Master Plan for Delhi, for the protection of the tomb and the settlement around it. Through this study it is concluded that the approach of Integrated Conservation has enabled decision making that sustains the values of these complex heritage sites in Indian context.

Keywords: conservation, integrated, management, approach

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