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From The Beats in Mexico by David Stephen Calonne. © 2022 by Rutgers University Press. Used with permission of the Publisher. https://www.rutgersuniversitypress.org/the-beats-in-mexico/9781978828728

Chapter 10 of Tiffany Tsao’s The More Known World is republished with permission from the copyright holder, Tiffany Tsao.

Urban planning systems, processes and regulations are often blamed – by many mainstream economists – for constraining the supply of housing by interfering with the efficient allocation of land by the market and unnecessarily delaying development. In England, this orthodox view has influenced the government’s deregulatory planning reforms, including – since 2013 – the removal of the requirement for developers to apply for planning permission for the conversion of an office building to a residential one (making it ‘permitted development’). Drawing on original empirical research in five local authority areas in England, this article examines the impacts of this deregulation of planning control on the ground. We find that, although more housing units have been delivered than were expected, a focus on housing numbers is eclipsing problems of housing quality, the type of housing being made available and whether it is in sustainable locations. There are also costs of deregulating planning, including direct financial costs and the lost opportunity to secure affordable housing and public infrastructure through planning gain. We conclude by examining the contradictions in the UK government’s approach to addressing the housing crisis and propose there are dangers of deregulating the urban that have consequences for England and other countries pursuing neoliberal reforms. 许多主流经济学家经常指责城市规划制度、流程和法规，主张其通过干预市场对土地的有效分配、以及不必要地拖延发展限制了住房供应。在英国，这种正统观点影响了政府放松管制的规划改革，包括自2013年以来取消了一项要求，即，为了将办公楼改造为住宅，开发商无需再申请规划许可使之成为“许可的开发”。本文基于对英国五个地方自治体地区的原始实证研究，考察这种放松规划控制的实地影响。我们发现，尽管交付的住房数量超过了预期，但对住房数量的关注掩盖了住房质量、提供的住房类型以及是否在可持续的地点等问题。放松规划控制也有成本，包括直接的财务成本和失去通过规划收益获得经济适用房和公共基础设施的机会。最后，我们审视了英国政府解决住房危机的方法中的矛盾，并提出放松城市监管的危险会给英国和其他追求新自由主义改革的国家带来后果。

From Becoming Home: Diaspora and the Anglophone Transnational edited by Jude V. Nixon and Maria Concetta Constantini. © 2022 by Vernon Press. Used by permission of the publisher. Publisher website: https://vernonpress.com/book/1365

From Transatlantic Anglophone Literatures, 1776-1920: An Anthology edited by Linda K. Hughes, Sarah Ruffing Robbins, and Andrew Taylor (with associate editors Heidi Hakimi-Hood and Adam Nemmers). © 2022 by Edinburgh University Press. Used by permission. Publisher website: https://edinburghuniversitypress.com/book-transatlantic-anglophone-literatures-1776-1920.html

In the context of Internet of Things (IoT) intelligent systems, the latest research regarding delegation using an access control model has gained attention, reflecting the need for models to support more functionalities in relation to hierarchical delegation. With respect to delegation procedures within access control, issues arise after delegation concerning the permissions to others with respect to revocation. Redundancy and conflict arising from delegation can occur depending on the delegation policies used within the hierarchical structure. This article discusses implementation of positive delegation represented by “YES” and negative delegation represented by “NO”. Furthermore, we also consider permission to delegate positively and negatively represented by (YES and NO). These challenges are addressed by creating additional features in a hierarchical policy model (HPol). The implementation was created using Python (ver. 3.10) code to verify the advantages of the approach, through experimentation under different scenarios. The model also has the capability to manage and adapt features of the Internet of Things (IoT) to a blockchain architecture, enhancing security and verification during the delegation process and increasing the scalability of Internet of Things (IoT) intelligent environment systems.

Android system uses a permission mechanism to allow users and developers to regulate access to private information and system resources required by Android applications (apps). Permissions can be behaviors and characteristics of an app, and widely used by Android malware detection. This paper designs a novel method to extract contrasting permission patterns for comparing the differences between Android benign apps and malware based on permissions, and use these differences to detect Android malware. Unlike existing works, this work first analyzes required and used permission. Then use support-based permission candidate method to mining unique required or used permission patterns, and use these patterns to detect Android malware. In experiment, this approach uses permission patterns from Android malware to detect a mixed Android app dataset. The results show that the proposed method can achieve 94% accuracy, 5% false positive, and 1% false negative.

The editors, alongside French-language book review editor Camille Robert and managing editor Kathy Killoh, warmly welcome Fred to the editorial team. A note on our cover: the image of striking Air Canada Flight Attendants, taken by and used by permission of CUPE national staff, was chosen to acknowledge the militancy and solidarity demonstrated by these workers during their job action in the summer of 2025. Une note concernant notre couverture : l'image des agents de bord d'Air Canada en grève, prise et utilisée avec l'autorisation du personnel national du sCFP, à été choisie pour rendre hommage au militantisme et à la solidarité dont ont fait preuve ces travailleurs lors de leur mouvement de grève à l'été 2025.

PurposeSmartphone apps collect users' personal information, which triggers privacy concerns for app users. Consequently, app users restrict apps from accessing their personal information. This may impact the effectiveness of in-app advertising. However, research has not yet demonstrated what factors impact app users' decisions to use apps with restricted permissions. This study is aimed to bridge this gap.Design/methodology/approachUsing a quantitative research method, the authors collected the data from 384 app users via a structured questionnaire. The data were analysed using AMOS and fuzzy-set qualitative comparative analysis (fsQCA).FindingsThe findings suggest privacy concerns and risks have a significant positive effect on app usage with restricted permissions, whilst reputation, trust and perceived benefits have significant negative impact on it. Some app-related factors, such as the number of apps installed and type of apps, also impact app usage with restricted permissions.Practical implicationsBased on the findings, the authors provided several implications for app stores, app developers and app marketers.Originality/valueThis study examines the factors that influence smartphone users' decisions to use apps with restricted permission requests. By doing this, the authors' study contributes to the consumer behaviour literature in the context of smartphone app usage. Also, by explaining the underlying mechanisms through which the principles of communication privacy management theory operate in smartphone app context, the authors' research contributes to the communication privacy management theory.