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Purpose: With this study, the authors aim to highlight the application of machine learning in smart appliances used in our day-to-day activities. This chapter focuses on analysing intelligent devices used in our daily lives to examine various machine learning models that can be applied to make an appliance ‘intelligent’ and discuss the different pros and cons of the implementation.

Methodology: Most smart appliances need machine learning models to decrypt the meaning and functioning behind the sensor’s data to execute accurate predictions and come to appropriate conclusions.

Findings: The future holds endless possibilities for devices to be connected in different ways, and these devices will be in our homes, offices, industries and even vehicles that can connect each other. The massive number of connected devices could congest the network; hence there is necessary to incorporate intelligence on end devices using machine learning algorithms. The connected devices that allow automatic control appliance driven by the user’s preference would avail itself to use the Network to communicate with devices close to its proximity or use other channels to liaise with external utility systems. Data processing is facilitated through edge devices, and machine learning algorithms can be applied.

Significance: This chapter overviews smart appliances that use machine learning at the edge. It highlights the effects of using these appliances and how they raise the overall living standards when smarter cities are introduced by integrating such devices.

Older adults who are or have been incarcerated constitute a growing population in the USA. The complex health needs of this group are often inadequately addressed during incarceration and equally so when transitioning back to the community. The purpose of this paper is to discuss the literature on challenges older adults (age 50 and over) face in maintaining health and accessing social services to support health after an incarceration and to outline recommendations to address the most urgent of these needs.

This study conducted a narrative literature review to identify the complex health conditions and health services needs of incarcerated older adults in the USA and outline three primary barriers they face in accessing health care and social services during reentry.

Challenges to healthy reentry of older adults include continuity of health care; housing availability; and access to health insurance, disability and other support. The authors recommend policy changes to improve uniformity of care, development of support networks and increased funding to ensure that older adults reentering communities have access to resources necessary to safeguard their health and safety.

This review presents a broad perspective of the current literature on barriers to healthy reentry for older adults in the USA and offers valuable system, program and policy recommendations to address those barriers.

Microbiologically induced corrosion of copper intrauterine devices “TCu380A” and “Nova T” by Enterobacter sp. in a synthetic intrauterine medium was investigated. The corrosion behaviour was evaluated applying cyclic voltammetry and Tafel Polarization. The surface morphology was determined using scanning electron microscopy, the corrosion products were analyzed using energy dispersive X‐rays and the biofilm composition was examined by Fourier transform infrared spectroscopy with an attenuated total reflectance device.

Left atrial appendage occlusion (LAAO) is a structural interventional cardiology procedure that offers several possibilities for the application of additive manufacturing technologies. The literature shows a growing interest in the use of 3D-printed models for LAAO procedure planning and occlusion device choice. This study aims to describe a full workflow to create a 3D-printed LAA model for LAAO procedure planning.

The workflow starts with the patient’s computed tomography diagnostic image selection. Segmentation in a commercial software provides initial geometrical models in standard tessellation language (STL) format that are then preprocessed for print in dedicated software. Models are printed using a commercial stereolithography machine and postprocessing is performed.

Models produced with the described workflow have been used at the Careggi Hospital of Florence as LAAO auxiliary planning tool in 10 cases of interest, demonstrating a good correlation with state-of-the-art software for device selection and improving the surgeon’s understanding of patient anatomy and device positioning.

3D-printed models for the LAAO planning are already described in the literature. The novelty of the article lies in the detailed description of a robust workflow for the creation of these models. The robustness of the method is demonstrated by the coherent results obtained for the 10 different cases studied.

The aim of this study is to identify and characterize kids' menu offer in fast-food and traditional restaurants located in shopping centres in five different countries.

An observational cross-sectional study is carried out, though a study was performed in all restaurants located in shopping centres from main cities, in five countries: Brazil, Chile, Croatia, Hungary and Portugal. A tool for assessing the quality of menus is used for the analysis (Kids Menu Healthy Score (KIMEHS)). Menu prices between countries were compared.

A total of 192 kids' menus were collected, 44 in Portugal, 57 in Brazil, 66 in Chile, 15 in Hungary and 10 in Croatia. All the countries have average negative KIMEHS values for the menus, indicating that the offer is generally poor in terms of healthy options. The cost of children's menus in European countries is generally low. In Brazil, the price is significantly more expensive, which may limit the accessibility by social economically deprived populations. No significant differences were found in the average cost of meals from different restaurants typology. Traditional/Western restaurants present the highest price.

Globally, kids' menus are composed by unhealthy food items, pointing to the need of improvements in food availability, aiming to promote healthy food habits among children.

This study presents innovative data on children's menus, allowing for characterization of meals offered to children and comparison between different countries.

Key points

1. Kids’ menus are composed by unhealthy food items.

2. Improvement of kids' menus quality will promote children food habits.

3. Healthier out-of-home food consumption will contribute to public health.

Kids’ menus are composed by unhealthy food items.

Improvement of kids' menus quality will promote children food habits.

Healthier out-of-home food consumption will contribute to public health.

A corrosion study of the intra‐uterine device, “TCu 380 A”, was made using cyclic voltammetry (CV), scanning electron microscopy (SEM) and optical microscopy (OM). Blood plasma, whole blood and artificial uterine fluid were used as corrosive media in order to establish a comparative scheme of the corrosion behaviour of copper in the device. In summary, the results obtained were not only similar to work reported previously, but also provided complementary data for a better understanding of the corrosion problem.

The aim of this work is to study the corrosion and scaling factors, mechanisms and processes affecting the materials, equipment and installations of the Cerro Prieto geothermal field (GTF).

The physicochemical characteristics of the geothermal well and fluids were analysed, recorded and related to the corrosion and scaling phenomena.

The high temperature and salinity of the steam‐brine mixture and the presence of hydrogen sulphide and carbon dioxide impart a severe level of corrosivity.

Corrosion and scaling control assure an efficient production regime, provide for the durability of the GTF engineering materials and equipment and contribute to environmental quality.

To examine political and economic institutional constraints that can facilitate or impede the implementation of sustainable development policies in urban areas.

A case study of Santa Monica, California is sued to examine the practical limitations of implementing sustainable development even under politically supportive conditions. The US experience is particularly instructive because it more clearly contrasts the differences between political, bureaucratic, and planning approaches to urban policy.

The analysis indicates policymakers must give more attention to the political and economic institutions that govern cities, particularly those that value individual choice, market economies, private property, and guarantees of civil liberties that encourage an open political process. Sustainable development in US cities has tended to emphasize centrally directed resource use. The analysis finds Santa Monica has fallen short of its sustainable development goals and progress has been uneven in large part due to the confounding influences of these alternative institutions.

The successful application of sustainable development policies will require adopting a more open‐ended, market‐based, and dynamic approach.

This paper more clearly identifies the forces that determine the success or failure of sustainable development policies while outlining an approach that is more likely to reconcile conflicting tendencies in complex policy environments.

This study aims to examine the adoption of peer-to-peer (P2P) lending platforms to determine the factors that encourage SMEs to use P2P lending platforms in obtaining loans.

A sample of ten SMEs from a variety of backgrounds was taken in Bandung, Indonesia. Bandung has been awarded the title of “creative city” by UNESCO, as the city allows for the development of the creative economy. This research used a semi-structured interview. Coding method was then used for content analysis to establish which factors emerging from the interview were leading respondents to obtain a loan through the P2P lending platform.

The findings imply that loan processes, interest rates, loan costs, loan amounts and loan flexibility affect SMEs in obtaining a loan through P2P lending. Moreover, alternative payment schemes in the form of Sharia-based lending and profit-sharing schemes were found. These findings constituted the original findings of this study.

The study offers findings on factors affecting SMEs in using the P2P lending platform as a form of alternative financing. Moreover, the theoretical framework provided can be used as literature in future research. As this study was conducted in Bandung, Indonesia, the findings may not be generalisable to other regions.

This study is one of the few studies that discusses P2P lending in Indonesia as the concept has been in practice only since 2015.