Search Results (4)

Early attention to individuals who suffer falls is a critical aspect when determining the consequences of such accidents, which are among the leading causes of mortality and disability in older adults. For this reason and considering the high number of older adults living alone, the development of automatic fall alerting systems has garnered significant research attention over the past decade. A key element for deploying a fall detection system (FDS) based on wearables is the wireless transmission method employed to transmit the medical alarms. In this regard, the vast majority of prototypes in the related literature utilize short-range technologies, such as Bluetooth, which must be complemented by the existence of a gateway device (e.g., a smartphone). In other studies, standards like Wi-Fi or 3G communications are proposed, which offer greater range but come with high power consumption, which can be unsuitable for most wearables, and higher service fees. In addition, they require reliable radio coverage, which is not always guaranteed in all application scenarios. An interesting alternative to these standards is Low Power Wide Area Network (LPWAN) technologies, which minimize both energy consumption and hardware costs while maximizing transmission range. This article provides a comprehensive search and review of that works in the literature that have implemented and evaluated wearable FDSs utilizing LPWAN interfaces to transmit alarms. The review systematically examines these proposals, considering various operational aspects and identifying key areas that have not yet been adequately addressed for the viable implementation of such detectors. Full article

Since 1998, the land finance model based on residential and commercial land transfer revenue has played an important role in Chinese social and economic growth, especially in urban infrastructure construction. With China’s population peak and stable urbanization, the “incremental” land-transfer-heavy development paradigm is unsustainable. At the same time, as a developing country, local governments in China must have enough fiscal revenue to encourage high-quality growth. The transformation of land finance is a practical issue that needs to be explored urgently. This article, which was based on the local government financial balance theory, proposed supporting the optimization of the land finance incremental model with the reform of the property tax system. A local land finance transformation mechanism with increment and inventory synergy was then created. Specifically, to avoid a cliff-like fall in the local government’s land-transfer fee, it was proposed that the land-transfer fee change from the original collection, from ordinary commercial housing to improved housing. The property tax should be levied on the second set of ordinary commercial housing to obtain fiscal revenue from the “inventory”. Concurrently, the fiscal money from property taxes could be utilized to build cheap rental housing or to support housing vouchers for new urban residents and young people. Full article

Bots (social robots) are computer programs that replicate human behavior in online social networks. They are either fully automated or semi-automated, and their use makes online activism vulnerable to manipulation. This study examines the existence of social robots in the #FeesMustFall movement by conducting a scientific investigation into whether social bots were present in the form of Twitter bots and cyborgs. A total of 576,823 tweets posted between 15 October 2015 and 10 April 2017 were cleaned, with 490,449 tweets analyzed for 90,783 unique persons. Three separate approaches were used to screen out suspicious bot and cyborg activity, supplemented by the DeBot team’s methodology. User 1 and User 2, two of the 90,783 individuals, were recognized as bots or cyborgs in the study and contributed 22,413 (4.57 percent) of the 490,449 tweets. This confirms the existence of bots throughout the campaign, which aided in the #FeesMustFall’s amplification on Twitter, complicating sentiment analysis and invariably making it the most popular and lengthiest hashtag campaign in Africa, particularly at the time of data collection. Full article

This paper assesses risk management practices at South African universities by analyzing the extent of risk management disclosure recommended by King IV and the level of risk governance maturity. This study was motivated by #Feesmustfall disruptions, which pointed to the lack of effective risk management, preparedness for volatility and increased scrutiny by stakeholders. A qualitative content analysis using a risk disclosure checklist was conducted on 18 annual reports and analyzed using an exploratory research design. The results revealed that over 80% of the sampled South African universities have disclosed most of their risk management practices, showing an improved disclosure due to King IV’s “apply and explain” philosophy as introduced in 2016. However, there were areas of improvement identified, such as: defining and approval of risk appetites and tolerance; development and implementation of business continuity plans; confirming the unpreparedness for volatility; annual revision of policies; and integration of risk management into the culture and daily activities of the university. This paper builds upon previous studies that highlighted a lack of detailed disclosures in South African organizations’ annual reports. This study also provides interesting insights into the impact of social events on organizational practices and supports the notion that legislative accounting practices should echo stakeholders and societal expectations. Full article