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The purpose of this paper is to use artificial intelligence to evaluate the risks of urban power network planning.

A fuzzy Bayesian least squares support vector machine (LS_SVM) model is established in this paper, which can learn the risk information of urban power network planning through artificial intelligence and acquire expert knowledge for its risk evaluation. With the advantage of possessing learning analog simulation precision and speed, the proposed model can be effectively applied in conducting a risk evaluation of an urban network planning system. First, fuzzy theory is applied to quantify qualitative risk factors of the planning to determine the fuzzy comprehensive evaluation value of the risk factors. Then, Bayesian evidence framework is utilized in LS_SVM model parameter optimization to automatically adjust the LS_SVM regularization parameters and nuclear parameters to obtain the best parameter values. Based on this, a risk comprehensive evaluation of urban network planning based on artificial intelligence is established.

The fuzzy Bayesian LS_SVM model established in this paper is an effective artificial intelligence method for risk comprehensive evaluation in urban network planning through empirical study.

The paper breaks new ground in using artificial intelligence to evaluate urban power network planning risks.

The internet of vehicles (IoV) communication has recently become a popular research topic in the automotive industry. The growth in the automotive sector has resulted in significant standards and guidelines that have engaged various researchers and companies. In IoV, routing protocols play a significant role in enhancing communication safety for the transportation system. The high mobility of nodes in IoV and inconsistent network coverage in different areas make routing challenging. This paper aims to provide a lane-based advanced forwarding protocol for internet of vehicles (LAFP-IoV) for efficient data distribution in IoV. The proposed protocol’s main feature is that it can identify the destination zone by using position coordinates and broadcasting the packets toward the direction of destination. The novel suppression technique is used in the broadcast method to reduce the network routing overhead.

The proposed protocol considers the interferences between different road segments, and a novel lane-based forwarding model is presented. The greedy forwarding notion, the broadcasting mechanism, and the suppression approach are used in this protocol to reduce the overhead generated by standard beacon forwarding procedures. The SUMO tool and NS-2 simulator are used for the vehicle's movement pattern and to simulate LAFP-IoV.

The simulation results show that the proposed LAFP-IoV protocol performs better than its peer protocols. It uses a greedy method for forwarding data packets and a carry-and-forward strategy to recover from the local maximum stage. This protocol's low latency and good PDR make it ideal for congested networks.

The proposed paper provides a unique lane-based forwarding for IoV. The proposed work achieves a higher delivery ratio than its peer protocols. The proposed protocol considers the lanes while forwarding the data packets applicable to the highly dense scenarios.

Newsworthy stories have several common criteria that help news‐gatherers define them. One of these is that the story should be interesting for or of interest to the audience. This means that there are elements of a newsworthy story that are common to gossip, rumours, urban legends and hoaxes that explain why all of these are so attractive to readers and make those stories likely to be published in a profit‐led, entertainment‐driven market. Rumour, hoax and urban legend often offer information where the only criteria that sets them apart from news is whether they can be sourced as being true. But is the most important concern of the news‐gatherer that the story should be true? Many of the stories we are told are “urban legends”. These purport to be true stories but are usually fiction, or are at least only very lightly rooted in the truth, yet people often believe them. Tracking whether people have heard a well‐known urban legend and determining whether they believed it and why, should offer some insight into how discerning people are about the credibility of their information sources. The data collected suggests that people are not particularly sceptical about what they are told and often believe stories that sound fantastic to others. It seems that a “least harm” test is applied when judging whether something is true which means we might pass the story on if this causes the least harm. This leads to an unequal balance of truth‐testing between those telling stories and those receiving them, with both having some expectation that the other will test for truth.

Lofts are housing forms converted from warehouse-workshop into a “habitable environment” in coastal towns of Europe and the USA after the Industrial Revolution. Particularly positioned in coastal towns of New York, Loft life made an impact in the world over time. It became a new form of living when artists converted structures like factories into habitable environment. From past to today, all national and international developments during the process affected and accelerated development of the constant evolution of housing concept. In that sense, in this study, the meaning of Lofts in Istanbul and the effect and change of socio-cultural stratification on spatial conversion of housing consumerism has been examined in the context of Istanbul. Especially, process of gentrification, shaped by effects of urban transformation post 1980, and cultural development affected by this process, attendant Loft life has become an accelerating way of life. In this context, historical and stylistic value and especially usage of Loft living has been examined. In the first chapter; past, present and the post-1980 development of housing sector in Istanbul, in the second chapter, with a thriving cultural life, and Loft formation, has been examined in the context of structural criteria, resulting three different Lofts have been discussed in detail. In the third section, three different types of Loft have been analyzed in the context of space depending on examples. As a result of researches, three different types of Lofts, “Original”, “Semi” and “Imitation” concepts have become clear and it has been concluded that “Imitation Loft” formation gives direction to life in Istanbul.

Romania is located in the southeastern part of Europe and has a population of 21.68 million, with 52% residing in urban areas. Ninety percent of the people identify themselves as Romanian, 7% Hungarian, and 3% belong to other ethnic groups (Census, 2002; Government White Book, 2001). In 100 AD., the Roman Empire conquered the local population, the Geto-Dacians, and established a province covering a large part of the current Romanian territory. Following hundreds of years of foreign influence and organization into smaller principates, present-day Romania took shape in two stages, through the union of Moldavia and Wallachia Provinces in 1859, and with the annexation of Transylvania in 1918. Following World War II, Romania fell under Soviet influence and a communist regime was established.

Awareness raising campaigns have been used to promote HIV prevention messages, including the expansion of HIV testing, but initiating such campaigns de novo can be costly. Both the Bronx, New York and Washington, DC have significant local HIV epidemics and a history of efforts to scale-up HIV testing. To build on prior HIV testing campaigns and create new messages based on consultation with diverse stakeholders, a partnership with a community-based clinical trial to enhance HIV testing and treatment was established. The purpose of this paper is to describe the history of HIV testing campaigns in the two jurisdictions, the awareness raising conducted in collaboration with the HIV Prevention Trials Network (HPTN) study (HPTN 065) and provide evidence of its effect in these two communities.

The foundation of prior campaigns allowed for expansion of social mobilization efforts to specific priority populations (gay men and other men who have sex with men), the most severely affected groups in both communities, and to expand the efforts to include clinical settings. New compelling and acceptable messages were shaped through engagement with community members and based on input from focus groups with target populations in each city.

By engaging the target population in the development of new messaging, HPTN 065 study successfully built on campaigns that were already underway in both jurisdictions and was able to use those messages and platforms to further normalize HIV testing.

Modifying and adapting existing messages saved time and resources, which can be important factors to consider in settings with limited resources or high media purchasing costs.

Efforts of this kind may ultimately help to decrease HIV transmission in large urban settings.

The effects of the COVID-19 pandemic on cities have transformed the lives of urban societies across the globe. One of such effects has been the redefinition of access and urban mobility patterns, exposing divides and inequalities along the lines of class, gender and social positions. In Latin America, long-term lockdowns and widespread containment-oriented restrictions have deepened already acute conditions of poverty and deprivation. Low-income and socially vulnerable households and individuals in countries such as Colombia find themselves unable, or in a disadvantaged position, to work from home, access goods and services securely and avoid transport modes that increase exposure to contagion. This chapter examines inequalities in urban mobility and access to essential opportunities in urban settings in Colombia, through data collected from 3,900 respondents to a web survey organised during the national lockdown in the country in April 2020. The chapter presents a Latent Class Analysis model exploring how intersecting differences in class, gender, ethnicity, age and other relevant socioeconomic characteristics, influence the degree of adaptability and capacity to adapt to the challenging conditions posed by COVID-19 for physical travel and carrying out everyday activities. Building on three distinct classes of mobility and access-related conditions, the chapter reflects on structural inequalities associated with Colombian cities’ urban form, functional and productive structures and its wide social gaps. The chapter builds on empirical findings to reflect on urban policy and discuss avenues for addressing social and spatial inequalities worsened by the pandemic.

Data has become a factor of production. This occurs when history enters the era of big data, in which technologies such as artificial intelligence, cloud computing and blockchain are used to collect, manipulate, mine and process data. Data is a special product of labor, a sub-derivative of other production factors.

The data factor has a dual attribute: being physical (technical) and social. The social attribute of the data factor can not only materialize the technical attribute but also amplify it. In other words, the data has a multiplication effect on the allocation efficiency of other production factors. The social attribute of the data is brought out via the technical attribute as the medium. From a technical perspective, this medium is strongly adhesive, and after being bonded with other factors of production, it will only lead to a physical reaction and not change the nature of other factors.

However, once these two attributes interact with each other, especially when data is combined with capital, the most adhesive factor in the market economy, a series of new social relations will then be produced based on the technical attribute, resulting in significant adjustments in social relations, involving both positive and negative externalities.

Therefore, to get a scientific understanding of the dual attribute and its interaction effects on the data factor, it is necessary to take the following steps. We should promote institutional design that amplifies the positive externality, with a focus on facilitating public data sharing and improving the value of commercial data development. Also, we need to strengthen institutional arrangements that prevent and control the negative externality by emphasizing data supervision based on data types and levels as well as the rule of law.