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Environment
Data-center energy, water use, carbon cost of training and the environmental ethics of AI — tracked daily.
Energy conservation through smart homes in a smart city: A lesson for Singapore households
Energy saving is a hot topic due to the proliferation of climate changes and energy challenges globally. However, people's perception about using smart technology for energy saving is still in the concept stage. This means that people talk about environmental awareness readily, yet in reality, they accept to pay the given energy bill. Due to the availability of electricity and its integral role, modulating consumers’ attitudes towards energy savings can be a challenge. Notably, the gap in today'
Digitization in maritime logistics—What is there and what is missing?
The global seaports are of pivotal importance for the world economy. Since 1990, global container traffic has grown by an average of 10% annually. Equally, the steady growth of ship sizes poses major logistical and technical problems worldwide. Given these facts, shipping and maritime logistics would largely benefit from Big Data as well as the emerging digital technologies. Apart from the many positive effects of digitization in maritime logistics with respect to efficiency, safety and energy s
Environments and System Types of Virtual Reality Technology in STEM: a Survey
Virtual Reality (VR) technology has been used widely today in Science, Technology, Engineering and Mathematics (STEM) fields. The VR is emerging computer interface distinguished by high degrees of immersion, trustworthy, and interaction. The goal of VR is making the user believe, as much as possible, that he is within the computer-generated environment. The VR has become one of the important technologies to be discussed regarding its applications, usage, and its different types that can achieve
A literature review on dynamic pricing of electricity
Revenue management and dynamic pricing are concepts that have immense possibilities for application in the energy sector. Both can be considered as demand-side management tools that can facilitate the offering of different prices at different demand levels. This paper studies literature on various topics related to the dynamic pricing of electricity and lists future research avenues in pricing policies, consumers’ willingness to pay and market segmentation in this field. Demand and price forecas
Detecting free-living steps and walking bouts: validating an algorithm for macro gait analysis
⩾ 0.941) but demonstrated significant bias. The algorithm employed for identifying and quantifying steps and bouts from a single wearable accelerometer worn on the lower-back has been demonstrated to be valid and could be used for pragmatic gait analysis in prolonged uncontrolled free-living environments.
Assessing data quality in citizen science
Ecological and environmental citizen‐science projects have enormous potential to advance scientific knowledge, influence policy, and guide resource management by producing datasets that would otherwise be infeasible to generate. However, this potential can only be realized if the datasets are of high quality. While scientists are often skeptical of the ability of unpaid volunteers to produce accurate datasets, a growing body of publications clearly shows that diverse types of citizen‐science pro
The anticipating brain is not a scientist: the free-energy principle from an ecological-enactive perspective
In this paper, we argue for a theoretical separation of the free-energy principle from Helmholtzian accounts of the predictive brain. The free-energy principle is a theoretical framework capturing the imperative for biological self-organization in information-theoretic terms. The free-energy principle has typically been connected with a Bayesian theory of predictive coding, and the latter is often taken to support a Helmholtzian theory of perception as unconscious inference. If our interpretatio
The Importance of Visual Feedback Design in BCIs; from Embodiment to Motor Imagery Learning
Brain computer interfaces (BCIs) have been developed and implemented in many areas as a new communication channel between the human brain and external devices. Despite their rapid growth and broad popularity, the inaccurate performance and cost of user-training are yet the main issues that prevent their application out of the research and clinical environment. We previously introduced a BCI system for the control of a very humanlike android that could raise a sense of embodiment and agency in th
Why We Play: An Anthropological Study
Whether it's childhood make-believe, the theater, sports, or even market speculation, play is one of humanity's seemingly purest activities: a form of entertainment and leisure and a chance to explore the world and its possibilities in an imagined environment or construct. But as Roberte Hamayon shows in this book, play has implications that go even further than that. Exploring play's many dimensions, she offers an insightful look at why play has become so ubiquitous across human cultures. Hamay
The use of social media for engaging stakeholders in sustainability reporting
Purpose – The purpose of this paper is to assess if online interaction through social media, particularly Facebook, Twitter, and YouTube, represents an effective stakeholder engagement mechanism in order to define the contents of social, environmental, or sustainability reporting (SESR). Design/methodology/approach – After examining 332 worldwide sustainability reports for the year 2013, drawn up according to the guidelines provided by the Global Reporting Initiative, the authors conducted a con
Optimization of DRASTIC method by artificial neural network, nitrate vulnerability index, and composite DRASTIC models to assess groundwater vulnerability for unconfined aquifer of Shiraz Plain, Iran
BACKGROUND: Extensive human activities and unplanned land uses have put groundwater resources of Shiraz plain at a high risk of nitrate pollution, causing several environmental and human health issues. To address these issues, water resources managers utilize groundwater vulnerability assessment and determination of protection. This study aimed to prepare the vulnerability maps of Shiraz aquifer by using Composite DRASTIC index, Nitrate Vulnerability index, and artificial neural network and also
Evaluating energy performance in non-domestic buildings: A review
Emerging technologies to measure neighborhood conditions in public health: implications for interventions and next steps
Adverse neighborhood conditions play an important role beyond individual characteristics. There is increasing interest in identifying specific characteristics of the social and built environments adversely affecting health outcomes. Most research has assessed aspects of such exposures via self-reported instruments or census data. Potential threats in the local environment may be subject to short-term changes that can only be measured with more nimble technology. The advent of new technologies ma
Psychological factors in exceptional, extreme and torturous environments
Our cognitive system has adapted to support goal-directed behaviour within a normal environment. An abnormal environment is one to which we are not optimally adapted but can accommodate through the development of coping strategies. These abnormal environments can be 'exceptional', e.g., polar base, space station, submarine, prison, intensive care unit, isolation ward etc.; 'extreme', marked by more intense environmental stimuli and a real or perceived lack of control over the situation, e.g., su
Recommendations for Good Scientific Practice and the Consumers of VR-Technology
The goal of this article is to present a first list of ethical concerns that may arise from research and personal use of virtual reality (VR) and related technology, and to offer concrete recommendations for minimizing those risks. Many of the recommendations call for focused research initiatives. In the first part of the article, we discuss the relevant evidence from psychology that motivates our concerns. In section 1.1, we cover some of the main results suggesting that one’s environment can i
“Space, the Final Frontier”: How Good are Agent-Based Models at Simulating Individuals and Space in Cities?
Cities are complex systems, comprising of many interacting parts. How we simulate and understand causality in urban systems is continually evolving. Over the last decade the agent-based modeling (ABM) paradigm has provided a new lens for understanding the effects of interactions of individuals and how through such interactions macro structures emerge, both in the social and physical environment of cities. However, such a paradigm has been hindered due to computational power and a lack of large f
Safely interruptible agents
Reinforcement learning agents interacting with a complex environment like the real world are unlikely to behave optimally all the time. If such an agent is operating in real-time under human supervision, now and then it may be necessary for a human operator to press the big red button to prevent the agent from continuing a harmful sequence of actions—harmful either for the agent or for the environment—and lead the agent into a safer situation. However, if the learning agent expects to receive re
Ecocriticism and Italy
<JATS1:p>Written by one of Europe’s leading critics, Ecocriticism and Italy reads the diverse landscapes of Italy in the cultural imagination. From death in Venice as a literary trope and petrochemical curse, through the volcanoes of Naples to wine, food and environmental violence in Piedmont, Serenella Iovino explores Italy as a text where ecology and imagination meet. Examining texts where justice, society and politics interlace with stories of land and life, ecosystems and body cells, polluti
Assessing the attention levels of students by using a novel attention aware system based on brainwave signals
Abstract Rapid progress in information and communication technologies ( ICTs ) has fueled the popularity of e‐learning. However, an e‐learning environment is limited in that online instructors cannot monitor immediately whether students remain focus during online autonomous learning. Therefore, this study tries to develop a novel attention aware system ( AAS ) capable of recognizing students' attention levels accurately based on electroencephalography ( EEG ) signals, thus having high potential
Evidence for surprise minimization over value maximization in choice behavior
Classical economic models are predicated on the idea that the ultimate aim of choice is to maximize utility or reward. In contrast, an alternative perspective highlights the fact that adaptive behavior requires agents' to model their environment and minimize surprise about the states they frequent. We propose that choice behavior can be more accurately accounted for by surprise minimization compared to reward or utility maximization alone. Minimizing surprise makes a prediction at variance with
“Teach Me–Show Me”—End-User Personalization of a Smart Home and Companion Robot
Care issues and costs associated with an increasing elderly population are becoming a major concern for many countries. The use of assistive robots in “smart-home” environments has been suggested as a possible partial solution to these concerns. A challenge is the personalization of the robot to meet the changing needs of the elderly person over time. One approach is to allow the elderly person, or their carers or relatives, to make the robot learn activities in the smart home and teach it to ca
A striking reduction of simple loudness adaptation in autism
Reports of sensory disturbance, such as loudness sensitivity or sound intolerance, are ubiquitous in Autism Spectrum Disorder (ASD) but a mechanistic explanation for these perceptual differences is lacking. Here we tested adaptation to loudness, a process that regulates incoming sensory input, in adults with ASD and matched controls. Simple loudness adaptation (SLA) is a fundamental adaptive process that reduces the subjective loudness of quiet steady-state sounds in the environment over time, w
Accelerometer‐determined physical activity, muscle mass, and leg strength in community‐dwelling older adults
INTRODUCTION: The aim of this study was to describe the relationship between accelerometer-determined physical activity (PA), muscle mass, and lower-limb strength in community-dwelling older adults. METHODS: Six hundred thirty-six community-dwelling older adults (66 ± 7 years) were studied. Muscle mass was measured using dual-energy x-ray absorptiometry, whilst lower limb strength was measured via dynamometry. We measured minutes/day spent in sedentary, light, moderate, and vigorous intensity ac
Emotional Dynamics in the Age of Misinformation
According to the World Economic Forum, the diffusion of unsubstantiated rumors on online social media is one of the main threats for our society. The disintermediated paradigm of content production and consumption on online social media might foster the formation of homogeneous communities (echo-chambers) around specific worldviews. Such a scenario has been shown to be a vivid environment for the diffusion of false claim. Not rarely, viral phenomena trigger naive (and funny) social responses-e.g
Associations between speech understanding and auditory and visual tests of verbal working memory: effects of linguistic complexity, task, age, and hearing loss
Listeners with hearing loss commonly report having difficulty understanding speech, particularly in noisy environments. Their difficulties could be due to auditory and cognitive processing problems. Performance on speech-in-noise tests has been correlated with reading working memory span (RWMS), a measure often chosen to avoid the effects of hearing loss. If the goal is to assess the cognitive consequences of listeners' auditory processing abilities, however, then listening working memory span (
Understanding handpump sustainability: Determinants of rural water source functionality in the<scp>G</scp>reater<scp>A</scp>fram<scp>P</scp>lains region of<scp>G</scp>hana
Safe drinking water is critical to human health and development. In rural sub-Saharan Africa, most improved water sources are boreholes with handpumps; studies suggest that up to one third of these handpumps are nonfunctional at any given time. This work presents findings from a secondary analysis of cross-sectional data from 1509 water sources in 570 communities in the rural Greater Afram Plains (GAP) region of Ghana; one of the largest studies of its kind. 79.4% of enumerated water sources wer
The social responsibility of international business: From ethics and the environment to CSR and sustainable development
Social Eavesdropping in Zebrafish: Tuning of Attention to Social Interactions
Group living animals may eavesdrop on signalling interactions between conspecifics in order to collect adaptively relevant information obtained from others, without incurring in the costs of first-hand information acquisition. This ability (aka social eavesdropping) is expected to impact Darwinian fitness, and hence predicts the evolution of cognitive processes that enable social animals to use public information available in the environment. These adaptive specializations in cognition may have
Matching Fishers’ Knowledge and Landing Data to Overcome Data Missing in Small-Scale Fisheries
BACKGROUND: In small-scale fishery, information provided by fishers has been useful to complement current and past lack of knowledge on species and environment. METHODOLOGY: Through interviews, 82 fishers from the largest fishing communities on the north and south borders of a Brazilian northeastern coastal state provided estimates of the catch per unit effort (CPUE) and rank of species abundance of their main target fishes for three time points: current year (2013 at the time of the research),
A Novel Modelling Approach for Predicting Forest Growth and Yield under Climate Change
Global climate is changing due to increasing anthropogenic emissions of greenhouse gases. Forest managers need growth and yield models that can be used to predict future forest dynamics during the transition period of present-day forests under a changing climatic regime. In this study, we developed a forest growth and yield model that can be used to predict individual-tree growth under current and projected future climatic conditions. The model was constructed by integrating historical tree grow
Educational Data Mining and Learning Analytics: differences, similarities, and time evolution
Technological progress in recent decades has enabled people to learn in different ways. Universities now have more educational models to choose from, i.e., b-learning and e-learning. Despite the increasing opportunities for students and instructors, online learning also brings challenges due to the absence of direct human contact. Online environments allow the generation of large amounts of data related to learning/teaching processes, which offers the possibility of extracting valuable informati
Joint Optimization of Radio and Computational Resources for Multicell Mobile-Edge Computing
Migrating computational intensive tasks from mobile devices to more resourceful cloud servers is a promising technique to increase the computational capacity of mobile devices while saving their battery energy. In this paper, we consider an MIMO multicell system where multiple mobile users (MUs) ask for computation offloading to a common cloud server. We formulate the offloading problem as the joint optimization of the radio resources-the transmit precoding matrices of the MUs-and the computatio
Brain size affects female but not male survival under predation threat
There is remarkable diversity in brain size among vertebrates, but surprisingly little is known about how ecological species interactions impact the evolution of brain size. Using guppies, artificially selected for large and small brains, we determined how brain size affects survival under predation threat in a naturalistic environment. We cohoused mixed groups of small- and large-brained individuals in six semi-natural streams with their natural predator, the pike cichlid, and monitored surviva
Future Petroleum Geopolitics: Consequences of Climate Policy and Unconventional Oil and Gas
Abstract Advances in unconventional oil and gas production and the possible adoption of a more effective international climate policy may impact on supply–demand balances in the petroleum sector, causing shifts in financial flows and capital accumulation. Such changes may in turn lead to shifts in the power balance between oil and gas exporting and importing countries. Because the relationship between exporting and importing countries in the petroleum sector is asymmetric, with a few exporting c
Exploring the Genetic Signature of Body Size in Yucatan Miniature Pig
Since being domesticated about 10,000-12,000 years ago, domestic pigs (Sus scrofa domesticus) have been selected for traits of economic importance, in particular large body size. However, Yucatan miniature pigs have been selected for small body size to withstand high temperature environment and for laboratory use. This renders the Yucatan miniature pig a valuable model for understanding the evolution of body size. We investigate the genetic signature for selection of body size in the Yucatan min
Influenza Burden and Transmission in the Tropics
Each year, influenza causes substantial mortality and morbidity worldwide. It is important to understand influenza in the tropics because of the significant burden in the region and its relevance to global influenza circulation. In this review, influenza burden, transmission dynamics, and their determinants in the tropics are discussed. Environmental, cultural, and social conditions in the tropics are very diverse and often differ from those of temperate regions. Theories that account for and pr
Climate Clubs: Overcoming Free-riding in International Climate Policy
Notwithstanding great progress in scientific and economic understanding of climate change, it has proven difficult to forge international agreements because of free-riding, as seen in the defunct Kyoto Protocol. This study examines the club as a model for international climate policy. Based on economic theory and empirical modeling, it finds that without sanctions against non-participants there are no stable coalitions other than those with minimal abatement. By contrast, a regime with small tra
Documenting and Assessing Learning in Informal and Media-Rich Environments
An extensive review of the literature on learning assessment in informal settings, expert discussion of key issues, and a new model for good assessment practice. Today educational activities take place not only in school but also in after-school programs, community centers, museums, and online communities and forums. The success and expansion of these out-of-school initiatives depends on our ability to document and assess what works and what doesn't in informal learning, but learning outcomes in
Corporate environmental responsibility and accountability: What chance in vulnerable Bangladesh?
Bangladesh has recently been enjoying significant economic growth mainly arising from an export led development strategy. However, in that process its natural environment has been degraded and become more vulnerable in geophysical terms (e.g. environmental pollution). Much of the Bangladeshi population are also vulnerable in socio-economic terms due primarily to widespread poverty. In this context we ask, albeit sceptically, whether there is any chance of holding corporations to account for thei
Connected Car: Quantified Self becomes Quantified Car
The automotive industry could be facing a situation of profound change and opportunity in the coming decades. There are a number of influencing factors such as increasing urban and aging populations, self-driving cars, 3D parts printing, energy innovation, and new models of transportation service delivery (Zipcar, Uber). The connected car means that vehicles are now part of the connected world, continuously Internet-connected, generating and transmitting data, which on the one hand can be helpfu