Research (18)
Panning for gold: Automatically analysing online social engineering attack surfaces
The process of social engineering targets people rather than IT infrastructure. Attackers use deceptive ploys to create compelling behavioural and cosmetic hooks, which in turn lead a target to disclose sensitive information or to interact with a malicious payload. The creation of such hooks requires background information on targets. Individuals are increasingly releasing information about themselves online, particularly on social networks. Though existing research has demonstrated the social e
American Sign Language Syntax and Analogical Reasoning Skills Are Influenced by Early Acquisition and Age of Entry to Signing Schools for the Deaf
Failing to acquire language in early childhood because of language deprivation is a rare and exceptional event, except in one population. Deaf children who grow up without access to indirect language through listening, speech-reading, or sign language experience language deprivation. Studies of Deaf adults have revealed that late acquisition of sign language is associated with lasting deficits. However, much remains unknown about language deprivation in Deaf children, allowing myths and misunder
Emergence of Exploratory, Technical and Tactical Behavior in Small-Sided Soccer Games when Manipulating the Number of Teammates and Opponents
The effects that different constraints have on the exploratory behavior, measured by the variety and quantity of different responses within a game situation, is of the utmost importance for successful performance in team sports. The aim of this study was to determine how the number of teammates and opponents affects the exploratory behavior of both professional and amateur players in small-sided soccer games. Twenty-two professional (age 25.6 ± 4.9 years) and 22 amateur (age 23.1 ± 0.7 years) ma
Measuring Organizational Legitimacy in Social Media: Assessing Citizens’ Judgments With Sentiment Analysis
Conventional quantitative methods for the measurement of organizational legitimacy consider mainly three sources that make judgments about organizations visible: news media, accreditation bodies, and surveys. Over the last decade, however, social media have enabled ordinary citizens to bypass the gatekeeping function of these institutional evaluators and autonomously make individual judgments public. This inclusion of voices beyond functional and formally organized stakeholder groups potentially
Effect of Different Onset Thresholds on Isometric Midthigh Pull Force-Time Variables
Dos'Santos, T, Jones, PA, Comfort, P, and Thomas, C. Effect of different onset thresholds on isometric midthigh pull force-time variables. J Strength Cond Res 31(12): 3463-3473, 2017-Various thresholds have been used to identify the onset of contraction during isometric midthigh pull (IMTP); however, no agreed onset threshold exists for this assessment. The purpose of this study was to compare relative body weight (BW) and arbitrary onset thresholds to a criterion onset threshold 5 SDs of BW for
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
Using deep belief network modelling to characterize differences in brain morphometry in schizophrenia
Neuroimaging-based models contribute to increasing our understanding of schizophrenia pathophysiology and can reveal the underlying characteristics of this and other clinical conditions. However, the considerable variability in reported neuroimaging results mirrors the heterogeneity of the disorder. Machine learning methods capable of representing invariant features could circumvent this problem. In this structural MRI study, we trained a deep learning model known as deep belief network (DBN) to
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.
Ethical values and social care robots for older people: an international qualitative study
Values such as respect for autonomy, safety, enablement, independence, privacy and social connectedness should be reflected in the design of social robots. The same values should affect the process by which robots are introduced into the homes of older people to support independent living. These values may, however, be in tension. We explored what potential users thought about these values, and how the tensions between them could be resolved. With the help of partners in the ACCOMPANY project, 2
Analysis of a Smartphone-Based Architecture with Multiple Mobility Sensors for Fall Detection
During the last years, many research efforts have been devoted to the definition of Fall Detection Systems (FDSs) that benefit from the inherent computing, communication and sensing capabilities of smartphones. However, employing a smartphone as the unique sensor in a FDS application entails several disadvantages as long as an accurate characterization of the patient's mobility may force to transport this personal device on an unnatural position. This paper presents a smartphone-based architectu
The bromodomain inhibitor OTX015 (MK-8628) exerts anti-tumor activity in triple-negative breast cancer models as single agent and in combination with everolimus
// Ramiro Vázquez 1 , María E. Riveiro 2 , Lucile Astorgues-Xerri 2 , Elodie Odore 2, 3 , Keyvan Rezai 3 , Eugenio Erba 1 , Nicolò Panini 1 , Andrea Rinaldi 4 , Ivo Kwee 4, 5, 6 , Luca Beltrame 1 , Mohamed Bekradda 2 , Esteban Cvitkovic 2, 7 , Francesco Bertoni 4, 8 , Roberta Frapolli 1 , Maurizio D'Incalci 1 1 Laboratory of Anti-tumor Pharmacology, IRCCS-Istituto di Ricerche Farmacologiche Mario Negri, Milan, Italy 2 Oncology Therapeutic Development, Clichy, France 3 Radiop
Detecting physical activity within lifelogs towards preventing obesity and aiding ambient assisted living
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
Transformational Issues of Big Data and Analytics in Networked Business
The era of big data and analytics is upon us and is changing the world dramatically. The field of Information Systems should be at the forefront of understanding and interpreting the impact of both technologies and management so as to lead the efforts of business research in the big data era. We need to prepare ourselves and our students for this changing world of business. In this discussion, we focus on exploring the technical and managerial issues of business transformation resulting from the
Digital sustainability: basic conditions for sustainable digital artifacts and their ecosystems
The modern age has heralded a shift from the industrial society, in which natural resources are crucial input factors for the economy, towards a knowledge society. To date, sustainability literature has treated knowledge-and in particular digital artifacts-mainly as a means to the end of achieving sustainable development. In this conceptual paper, we argue that digital artifacts themselves ought also to be considered as resources, which also need to be sustainable. While over-consumption is a pr
Extended emotions
Abstract Until recently, philosophers and psychologists conceived of emotions as brain‐ and body‐bound affairs. But researchers have started to challenge this internalist and individualist orthodoxy. A rapidly growing body of work suggests that some emotions incorporate external resources and thus extend beyond the neurophysiological confines of organisms; some even argue that emotions can be socially extended and shared by multiple agents. Call this the extended emotions thesis (ExE). In this a
Tweeting negative emotion: An investigation of Twitter data in the aftermath of violence on college campuses.
Studying communities impacted by traumatic events is often costly, requires swift action to enter the field when disaster strikes, and may be invasive for some traumatized respondents. Typically, individuals are studied after the traumatic event with no baseline data against which to compare their postdisaster responses. Given these challenges, we used longitudinal Twitter data across 3 case studies to examine the impact of violence near or on college campuses in the communities of Isla Vista, C