CityLightSense: A Participatory Sensing-based System for Monitoring and Mapping of Illumination levels

Adequate nighttime lighting of city streets is necessary for safe vehicle and pedestrian movement, deterrent of crime, improvement of the citizens’ perceptions of safety, and so on. However, monitoring and mapping of illumination levels in city streets during the nighttime is a tedious activity that is usually based on manual inspection reports. The advancement in smartphone technology comes up with a better way to monitor city illumination using a rich set of smartphone-equipped inexpensive but powerful sensors (e.g., light sensor, GPS, etc). In this context, the main objective of this work is to use the power of smartphone sensors and IoT-cloud-based framework to collect, store, and analyze nighttime illumination data from citizens to generate high granular city illumination map. The development of high granular illumination map is an effective way of visualizing and assessing the illumination of city streets during nighttime. In this article, an illumination mapping algorithm called Street Illumination Mapping is proposed that works on participatory sensing-based illumination data collected using smartphones as IoT devices to generate city illumination map. The proposed method is evaluated on a real-world illumination dataset collected by participants in two different urban areas of city Kolkata. The results are also compared with the baseline mapping techniques, namely, Spatial k-Nearest Neighbors, Inverse Distance Weighting, Random Forest Regressor, Support Vector Regressor, and Artificial Neural Network.

What Is Safe and How Much Does It Matter? Food Vendors’ and Consumers’ Views on Food Safety in Urban Nigeria

This study examines the food safety beliefs of vendors and consumers in a mid-sized Nigerian city using data from in-depth interviews and cognitive mapping techniques drawn from ethnography. We examine vendors’ and consumers’ perspectives on which foods are safe, which are not, and why; the place of foodborne illness among other health concerns and motivators of food choice; and how salient food safety is as a concern for vendors. The main perceived causes of unsafe food were found to be chemicals and insects; while bacterial illnesses were widely mentioned as a cause of gastrointestinal symptoms, these were not necessarily linked to food in consumers’ minds. Respondents agreed strongly that certain foods (e.g., cowpea, beef, green leafy vegetables, and local rice) were less safe than others. The importance of food safety as a choice motivator among consumers varies depending on framing: when asked directly, it was prominent and closely related to visible cleanliness, but concerns about food safety competed in consumers’ minds against other salient motivators of food and vendor choice, such as price. Most vendors did not see food safety, cleanliness, or hygiene as a key trait of a successful vendor, and just over half of vendors had any concern about the safety of their food. In conclusion, we note the implications for intervention designs, particularly the need to build upon consumers’ and vendors’ current beliefs and practices related to food safety in order to make foodborne disease prevention a more salient concern in food choice.

APPLICATION OF THE GIS-BASED 3D MODELING OF MULTIFLAT BUILDINGS TO ASSESS THE PREVALENCE OF TUBERCULOSIS ON A CITY SCALE

This article is aimed at expanding and deepening knowledge in GIS analysis for medical professionals. Key task of described research is to elaborate a methodology of 3D mapping and visualization of the multiflat buildings in order to study most socially valuable diseases on the apartment scale in the St. Petersburg city. The use of this methodology allows to avoid the aggregation of geographical information within one building, and, on the other hand, allows to move from a general assessment of the prevalence of the disease to specific cases. In this case, the methodology is considered as primary health care support. The paper describes elaborated approach to detailed 3D mapping of multiple disease hotbeds in multiflat buildings. Main benefit of the proposed set of data processing and mapping techniques is the capability of apartment-scale connectivity evaluation of the hotbeds inside multiflat buildings.

A comparison between aeroacoustic source mapping techniques for the characterisation of wind turbine blade models with microphone arrays

<p class="Abstract">Characterising the aeroacoustic noise sources generated by a rotating wind turbine blade provides useful information for tackling noise reduction of this mechanical system. In this context, microphone array measurements and acoustic source mapping techniques are powerful tools for the identification of aeroacoustic noise sources. This paper discusses a series of acoustic mapping strategies that can be exploited in this kind of applications. A single-blade rotor was tested in a semi-anechoic chamber using a circular microphone array. <br />The Virtual Rotating Array (VRA) approach, which transforms the signals acquired by the physical static array into signals of virtual microphones synchronously rotating with the blade, hence ensuring noise-source stationarity, was used to enable the use of frequency domain acoustic mapping techniques. A comparison among three different acoustic mapping methods is presented: Conventional Beamforming, CLEAN-SC and Covariance Matrix Fitting based on Iterative Re-weighted Least Squares and Bayesian approach. The latter demonstrated to provide the best results for the application and made it possible a detailed characterization of the noise sources generated by the rotating blade at different operating conditions.</p>

Geodiversity, Geoconservation, and Geotourism in Central America

Central America is located in a dynamic region where tectonics and volcanism together with the tropical climate and its diverse vegetation have shaped the landscapes. Our main objective is to review the status of the geodiversity, geoconservation, and geotourism in Central America. We will identify the region’s geomorphic environments and geodiversity using classic regional geomorphology mapping techniques. Likewise, using touristic maps and webpages, we identify the most prominent geosites of different origin in Central America. Moreover, we will explore the national environmental policies, natural conservation systems, and tourism initiatives to promote their national geoheritage through geotourism. We found that volcanic, coastal, karstic, glacial, and fluvial geomorphic environments are the most common in the region. In addition, we identified 393 geosites of volcanic, coastal, karstic, glacial, fluvial, and archeological origin in Central America. The promotion of geoheritage, geodiversity, geoconservation, and thus the development of geoparks are excellent opportunities to promote sustainable development, sustainable lifestyles, appreciation of natural and cultural diversity, and the promotion of peace. These results may prove important to spread information about geoscience widely to decision makers on geotourism and conservation in each country and the stakeholders of the region. Geoheritage studies in tropical and developing countries such as those in Central America should be improved, and priority should be given to the geomorphological dynamics and strong anthropic pressures on their geo- and biodiversity to increase their income through geotourism, especially among the less favored communities and avoid affecting their already threatened natural resources.

Social and Economic Costs of Inequality in the State of Virginia

This study examined selected social and economic costs of inequality in the state of Virginia. We explored the extent of inequality of place across the state, finding significant inequalities between counties on measures such as household income, poverty, college completion, single parenthood, and racial segregation. These inequalities of place were strongly associated with inequalities in the adult outcomes of children raised in different areas of the state, including unequal household income and unequal rates of upward mobility, college completion, incarceration, and marriage in adulthood. When examining the association between homicides and concentrated disadvantage in the capital city of Richmond, our mapping techniques demonstrated a strong association. Finally, we estimated that child poverty results in billions of dollars of economic costs to the state each year.

Analysing stimuli and barriers, failure and resilience in companies’ internationalization: a systematic and bibliometric review

Purpose This study aims to systematize and analyze the internationalization of companies in an attempt to identify the main themes explored in the literature – What does the current state of the art tell us about the stimuli and barriers, failures and resilience in the internationalization of companies is what the authors set out to answer with this research. Design/methodology/approach This study offers a systematic review based on the bibliometric mapping techniques of 218 articles collected from the Web of Science database between 1996 and 2021. Findings Furthermore, contributing to literature by the logic of stimuli, barriers failure in internationalization companies. The main conclusion is that, from the analysis, the authors can see that the scientific production in this field of knowledge has intensified in recent years, but the centrality and the search density undergo major changes. Originality/value The main research contributions enable a better understanding of the involvement of failure and resilience in companies re-internationalization and suggestions for future studies in this field.

Noncanonical projections to the hippocampal CA3 regulate spatial learning and memory by modulating the feedforward hippocampal trisynaptic pathway

The hippocampal formation (HF) is well documented as having a feedforward, unidirectional circuit organization termed the trisynaptic pathway. This circuit organization exists along the septotemporal axis of the HF, but the circuit connectivity across septal to temporal regions is less well described. The emergence of viral genetic mapping techniques enhances our ability to determine the detailed complexity of HF circuitry. In earlier work, we mapped a subiculum (SUB) back projection to CA1 prompted by the discovery of theta wave back propagation from the SUB to CA1 and CA3. We reason that this circuitry may represent multiple extended noncanonical pathways involving the subicular complex and hippocampal subregions CA1 and CA3. In the present study, multiple retrograde viral tracing approaches produced robust mapping results, which supports this prediction. We find significant noncanonical synaptic inputs to dorsal hippocampal CA3 from ventral CA1 (vCA1), perirhinal cortex (Prh), and the subicular complex. Thus, CA1 inputs to CA3 run opposite the trisynaptic pathway and in a temporal to septal direction. Our retrograde viral tracing results are confirmed by anterograde-directed viral mapping of projections from input mapped regions to hippocampal dorsal CA3 (dCA3). We find that genetic inactivation of the projection of vCA1 to dCA3 impairs object-related spatial learning and memory but does not modulate anxiety-related behaviors. Our data provide a circuit foundation to explore novel functional roles contributed by these noncanonical hippocampal circuit connections to hippocampal circuit dynamics and learning and memory behaviors.