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Articles 691 - 720 of 9281
Full-Text Articles in Social and Behavioral Sciences
A Review Of The 2023/24 International Moots Season, Siyuan Chen
A Review Of The 2023/24 International Moots Season, Siyuan Chen
Research Collection Yong Pung How School Of Law
This is the 10th annual review1 of Singapore’s performance in international moot court competitions.2 In the highest-tier or Grand Slam competitions,3 SMU won the International Criminal Court world championship for the 5th time (increasing its lead as the tournament record holder for the most world championships), won the Lachs Space Moot world championship in Milan after winning the regional title in Tokyo, and reached the Price world championship final in Oxford for a record 7th time. Other notable results include SMU winning the Refugee and Migration Moot in its debut, winning the Fletcher Insolvency Moot for a record 3rd time, …
Dispositional Optimism, Sleep, And Trait Affective Mediators: A Latent Variable Approach, Nicole Ruiying Chen, Nadyanna Binte Mohamed Majeed, Adalia Yin Hui Goh, Paye Shin Koh, Jonathan Louis Jie Sheng Chia, Andree Hartanto
Dispositional Optimism, Sleep, And Trait Affective Mediators: A Latent Variable Approach, Nicole Ruiying Chen, Nadyanna Binte Mohamed Majeed, Adalia Yin Hui Goh, Paye Shin Koh, Jonathan Louis Jie Sheng Chia, Andree Hartanto
Research Collection School of Social Sciences
Dispositional optimism has been shown to be associated with better sleep. However, most existing studies rely on subjective assessments of sleep, which may not align with objective assessments of sleep. Additionally, research investigating the mechanisms underlying the association between optimism and sleep is lacking. Moreover, the confounding role of possible content overlap in measures relevant to the constructs of interest has been neglected. To address these gaps, we utilised latent variable analysis and investigated the mediating role of depression and trait anxiety across two large-scale studies (total N = 2312), with objective sleep measures included in Study 2. In Study …
Human Sensors In The City Of Super Apps: Mobilizing People As Infrastructure For Smart City Development In Jakarta, Indonesia, Prerona Das, Orlando Woods, Lily Kong
Human Sensors In The City Of Super Apps: Mobilizing People As Infrastructure For Smart City Development In Jakarta, Indonesia, Prerona Das, Orlando Woods, Lily Kong
Research Collection College of Integrative Studies
In this paper, we argue that contextual factors such as availability of infrastructure, socio-cultural characteristics of users, governance style, and the regulatory environment in global south cities creates opportunities for public and private sector actors to come up with innovative strategies to smart city development and the platformization of services. Despite different objectives, operationalization strategies, and expected outcomes between the public and private sectors, both sectors learn from one another to come up with innovative solutions for navigating contextual contingencies. Due to limited infrastructure and contextual diversities in global south cities, digital platforms require significant and specific forms of groundwork …
Chinatown, Part Five? ‘Capitalism With Asian Values’ In Vancouver: Commentary On Elvin Wyly’S ‘Regarding The Pain Of (Indigenous) Others, Justin Kh Tse
Research Collection College of Integrative Studies
In this commentary on Elvin Wyly’s ‘Regarding the Pain of (Indigenous) Others’, I comment on the absent ontology of Asian subjectivities in urban studies of neoliberal global cities. Wyly’s account of neoliberal Vancouver hellscapes frames racial formations and narratives of dispossession as formed by capital. Asian subjectivities, I argue in this commentary, are also flattened by narratives of capital into purely economic subjects, but what Wyly’s reading of Vancouver opens up, I also hope to show, is the possibility of tracing the complex life stories of Asian capitalist characters in Vancouver’s neoliberal hellscape. In this way, Wyly avoids the trap …
Mitigating Operational Greenhouse Gas Emissions In Ageing Residential Buildings Using An Urban Digital Twin Dashboard, Pradeep Alva, Martín Mosteiro-Romero, Clayton Miller, Rudi Stouffs
Mitigating Operational Greenhouse Gas Emissions In Ageing Residential Buildings Using An Urban Digital Twin Dashboard, Pradeep Alva, Martín Mosteiro-Romero, Clayton Miller, Rudi Stouffs
Research Collection College of Integrative Studies
With the increasing stock of ageing infrastructure and resource constraints in Singapore, related risks and carbon emissions can be mitigated through long-term resilience planning, automated building inspection, and effective maintenance. Sustainable actions are needed to maintain Singapore's ageing infrastructure. Hence, a state-of-the-art control and management system is required in the form of smart city digital tools. We introduce an Urban Digital Twin (UDT)—GHG App for decision-makers in Singapore's operational building greenhouse gas (GHG) emission mitigation and decarbonisation initiatives. Based on multiple-criteria decision analysis (MCDA), a Potential for Intervention (PFI) map was created to rejuvenate the building system. Decision-makers can use …
From Personal Comfort To District Performance: Using Smartwatch And Wifi Data For Occupant-Driven Operation, Martín Mosteiro-Romero, Matias Quintana, Clayton Miller, Rudi Stouffs
From Personal Comfort To District Performance: Using Smartwatch And Wifi Data For Occupant-Driven Operation, Martín Mosteiro-Romero, Matias Quintana, Clayton Miller, Rudi Stouffs
Research Collection College of Integrative Studies
This work proposes the use of a data-driven, agent-based model of building occupants’ activities and thermal comfort in an urban university campus in order to assess how district operation strategies can be leveraged to support the transition to flexible work arrangements. The results show that when users are given the flexibility to pursue more comfortable workspaces, they are still comfortable only 58% of the time.
Introducing The Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat And Noise With Digital Twin Metrics, Clayton Miller, Matias Quintana, Mario Frei, Xuan Yun Chua, Chun Fu, Bianca Picchetti, Winston Yap, Adrian Chong, Filip Biljecki
Introducing The Cool, Quiet City Competition: Predicting Smartwatch-Reported Heat And Noise With Digital Twin Metrics, Clayton Miller, Matias Quintana, Mario Frei, Xuan Yun Chua, Chun Fu, Bianca Picchetti, Winston Yap, Adrian Chong, Filip Biljecki
Research Collection College of Integrative Studies
The productivity and satisfaction of humans in the built environment is impacted significantly by their exposure to high temperature and various noise sources. This paper outlines the city-scale collection of 12,009 smartwatch-driven micro-survey responses that were collected alongside 2,825,243 physiological and environmental measurements from 106 people using the open-source Cozie-Apple platform combined with geolocation-driven urban digital twin metrics from the Urbanity Python package. This paper introduces a machine learning competition that will be launched for participants to compete in training models on the various contextual data to predict noise distraction and source as well as thermal preference across a diversity …
Experimental Evidence Of Instagram Influencers’ Impact On Well-Being, Kimberly Yiting T'Ng, Kai Qin Chan, Andree Hartanto
Experimental Evidence Of Instagram Influencers’ Impact On Well-Being, Kimberly Yiting T'Ng, Kai Qin Chan, Andree Hartanto
Research Collection School of Social Sciences
With Instagram influencers holding significant sway over public perception, their presumed psychological impact on young adults has gathered public attention. It has been claimed that influencers, known for showcasing enviable lifestyles, have the potential to affect their followers’ well-being. However, these claims have been based on correlational data that focuses on diffused indicators of social media consumption rather than specific features of Instagram. This limits our insight into the direct effects of Instagram on well-being. We experimentally investigated the effects of a brief exposure to Instagram influencers on the well-being. Our results showed that viewing profiles of demographically similar social …
From Sustainable Agriculture To Sustainable Agrifood Systems: A Comparative Review Of Alternative Models, Qian Forrest Zhang
From Sustainable Agriculture To Sustainable Agrifood Systems: A Comparative Review Of Alternative Models, Qian Forrest Zhang
Research Collection School of Social Sciences
This paper reviews, compares, and critically evaluates two broad groups of sustainable agriculture models: “sustainable agriculture” and “sustainable agrifood systems”. The “sustainable agriculture” models—comprising organic farming, regenerative agriculture, climate-smart agriculture, carbon-capture agriculture, and nature-based solutions—focus primarily on improving ecological sustainability through farm-level practices. These models emphasize reducing external, industrial inputs, enhancing biodiversity, and promoting climate resilience, relying on technological and market-based solutions to address environmental concerns. On the other hand, the “sustainable agrifood systems” models—agroecology, alternative food networks, and permaculture—offer more ambitious visions of systemic transformation. These approaches not only seek to implement environmentally sound practices but also aim to …
Umbrella Review Of Meta-Analyses On The Risk Factors, Protective Factors, Consequences And Interventions Of Cyberbullying Victimization, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto, Crystal H. Y. Chen, Eddie M. W. Tong, Nadyanna M. Majeed
Umbrella Review Of Meta-Analyses On The Risk Factors, Protective Factors, Consequences And Interventions Of Cyberbullying Victimization, K. T. A. Sandeeshwara Kasturiratna, Andree Hartanto, Crystal H. Y. Chen, Eddie M. W. Tong, Nadyanna M. Majeed
Research Collection School of Social Sciences
The increasing prevalence of cyberbullying victimization has become a commonplace issue globally. Although research has explored various predictors and consequences of cyberbullying victimization, most focus on a narrow range of variables or contexts, highlighting the need to comprehensively review and synthesize the wealth of empirical findings. We conducted a systematic review of meta-analyses on cyberbullying victimization, incorporating 56 meta-analyses and 296 effect sizes (sample size range 421–1,136,080, sample size median 53,183; searched via EBSCOhost ERIC, EBSCOhost PsycInfo, PubMed, Scopus, Web of Science, 13 cyberbullying-related journals, Google Scholar and ProQuest Dissertations and Theses) to address the following critical questions: (1) What …
Cultural Contexts Differentially Shape Parents’ Loneliness And Wellbeing During The Empty Nest Period, Andree Hartanto, Lester Wei Xiang Sim, Davelle Jing Yi Lee, Naydanna M. Majeed, Jose C. Yong
Cultural Contexts Differentially Shape Parents’ Loneliness And Wellbeing During The Empty Nest Period, Andree Hartanto, Lester Wei Xiang Sim, Davelle Jing Yi Lee, Naydanna M. Majeed, Jose C. Yong
Research Collection School of Social Sciences
The coming decades will see a substantial increase in the population of older adults, accompanied by significant demographic and family structure changes worldwide. As a result, the empty nest period—the postparental phase in parents’ lives when their children have left home and they are no longer engaged in childrearing—is becoming an increasingly common experience in Western and Asian cultures. The current theoretical review examines the psychological consequences of the empty nest period on loneliness and well-being across cultures, emphasizing the impact of cultural factors on these experiences. By synthesizing research from Western and Asian contexts, we explore two primary theoretical …
What Have Corporations Got To Do With It? A Political Economy Approach To Organizations And Climate Change, Annika Rieger
What Have Corporations Got To Do With It? A Political Economy Approach To Organizations And Climate Change, Annika Rieger
Research Collection School of Social Sciences
Ecological issues are often seen as only one of the many “problems” societies face today, even though they go deep and affect everything – from physical disruption and displacement to perhaps more subtle long-term changes in temperature, flora, and fauna that alter the face of the planet and the norms of everyday life. As a result of this view, the study of the environment has been siloed into the realm of “environmental sciences” with a few “environmental fill-in-the-social-science-blank” subfields scattered about. This is not to say that only “environmental” problems are important, but that across all disciplines and subfields, greater …
Review Forum : Intervention Before Interventionism : A Global Genealogy. By Patrick Quinton-Brown. Oxford: Oxford University Press. 2024., Robbie Shilliam, Lina Benabdallah, Heloise Weber, Craig N. Murphy, Samuel Moyn, Jennifer M. Welsh, Patrick Quinton-Brown
Review Forum : Intervention Before Interventionism : A Global Genealogy. By Patrick Quinton-Brown. Oxford: Oxford University Press. 2024., Robbie Shilliam, Lina Benabdallah, Heloise Weber, Craig N. Murphy, Samuel Moyn, Jennifer M. Welsh, Patrick Quinton-Brown
Research Collection School of Social Sciences
What if core concepts in International Relations (IR) yielded multiple interpretations that were connected to various political projects, pursued with differing consequences for global governance? What would be the harm of teaching one interpretation as the only interpretation, connected to the only project, with a singular consequence? How might our analysis of the present and our expectations of the future shift if we pluralized our understandings of the political life of core concepts? Patrick Quinton-Brown's book challenges us to do so with one of the core concepts of IR: intervention.Intervention before interventionism joins recent critiques of the Responsibility to Protect …
Ai And Data Science For Public Policy, Kenneth Benoit
Ai And Data Science For Public Policy, Kenneth Benoit
Research Collection School of Social Sciences
Artificial intelligence (AI) and data science are reshaping public policy by enabling more data-driven, predictive, and responsive governance, while at the same time producing profound changes in knowledge production and education in the social and policy sciences. These advancements come with ethical and epistemological challenges surrounding issues of bias, transparency, privacy, and accountability. This special issue explores the opportunities and risks of integrating AI into public policy, offering theoretical frameworks and empirical analyses to help policymakers navigate these complexities. The contributions explore how AI can enhance decision-making in areas such as healthcare, justice, and public services, while emphasising the need …
Which Idea To Pursue? Gender Differences In Novelty Avoidance During Creative Idea Selection, Mengzi Jin, Roy Y. J. Chua
Which Idea To Pursue? Gender Differences In Novelty Avoidance During Creative Idea Selection, Mengzi Jin, Roy Y. J. Chua
Research Collection Lee Kong Chian School Of Business
Despite women having made significant progress in the modern workforce, gender gaps are still evident in creative work. In this paper, we propose that, although women and men are equally capable of generating creative ideas, gender differences emerge during the idea-selection stage. Specifically, compared with men, women engage in higher novelty avoidance during idea selection—the degree to which one selects an idea that is less novel than the most novel idea one has generated. In two laboratory studies and a field survey involving creative professionals, we found significant gender differences in novelty avoidance during idea selection and identified women’s concerns …
Efmd’S View Of Critical Issues Of Gender Equality And Diversity In Business Schools, Eric Cornuel, Matthew Wood, Howard Thomas
Efmd’S View Of Critical Issues Of Gender Equality And Diversity In Business Schools, Eric Cornuel, Matthew Wood, Howard Thomas
Research Collection Lee Kong Chian School Of Business
Since its foundation in 1971, EFMD has maintained a resolute and firm belief in socially responsible management education. Over that period, European management educators have formed sound, balanced, and generally collaborative relationships with business, government, and civil society stakeholders who are often the providers of core funding for their universities and business schools. This worthwhile cooperation promotes greater social understanding, cultural progress, and improved levels of social and economic inclusion in society. This article sets the scene for EFMD’s view and principles for change in business schools aimed at improving quality and effectiveness.
An Empirical Test Of Auction Efficiency: Evidence From Mbs Auctions Of The Federal Reserve, Pietro Bonadi, Ali Hortacsu, Zhaogang Song
An Empirical Test Of Auction Efficiency: Evidence From Mbs Auctions Of The Federal Reserve, Pietro Bonadi, Ali Hortacsu, Zhaogang Song
Research Collection Lee Kong Chian School Of Business
PurposeWe estimate the marginal cost curve of each dealer in each auction, based on structural models of the multiunit discriminatory-price auction.Design/methodology/approachAuction theory has ambiguous implications regarding the relative performance of three formats of multiunit auctions: uniform-price, discriminatory-price and Vickrey auctions. We evaluate the performance of these three auction formats using bid-level data of the Federal Reserve’s purchase auctions of agency MBS from June 2014 through November 2014.FindingsOur results suggest that neither uniform-price nor Vickrey auctions outperform discriminatory-price auctions in terms of the total expenditure. However, Vickrey auctions outperform discriminatory-price auctions in terms of efficiency, with the efficiency gain around 0.74% …
Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu
Discretionary Dissemination On Twitter, Richard M. Crowley, Wenli Huang, Hai Lu
Research Collection School Of Accountancy
The study provides large-scale descriptive evidence on the timing and nature of corporate financial tweeting. Using an unsupervised machine learning approach to analyze 24 million tweets posted by S&P 1500 firms from 2012 to 2020, we find that firms are more likely to tweet financial information around significantly negative or positive news events, such as earnings announcements and the filing of financial statements. This convex U-shaped relation between the likelihood of posting financial tweets and the materiality of accounting events becomes stronger over time. Whereas research based on early samples concludes that firms are less likely to disseminate financial information …
A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery For Microclimate Studies, Vasantha Ramani, Marcel Ignatius, Joie Lim, Filip Biljecki, Clayton Miller
A Dynamic Urban Digital Twin Integrating Longitudinal Thermal Imagery For Microclimate Studies, Vasantha Ramani, Marcel Ignatius, Joie Lim, Filip Biljecki, Clayton Miller
Research Collection College of Integrative Studies
Recently, the concept of a digital twin for the built environment has received significant attention due to its potential benefits to urban planners, engineers, and designers. The development of tools that aid in integrating real-world physical systems with digital capabilities is essential for advancing digital twin technology. In this work, we present one such digital twin tool that integrates the longitudinal thermal envelope data of buildings on the campus of the National University of Singapore with a virtual 3D model. Thermal images of the buildings were captured using a neighborhood-scale infrared observatory for a few months. The temperature profile of …
From Data To Application: Harnessing Big Spatial Data And Spatially Explicit Machine Learning Model For Landslide Susceptibility Prediction And Mapping, Min Naing Khant, Mei Yi Victoria Grace Ann, Tin Seong Kam
From Data To Application: Harnessing Big Spatial Data And Spatially Explicit Machine Learning Model For Landslide Susceptibility Prediction And Mapping, Min Naing Khant, Mei Yi Victoria Grace Ann, Tin Seong Kam
Research Collection School Of Computing and Information Systems
Recent advancements in information and communication technology have significantly enhanced access to extensive geospatial data, presenting a valuable opportunity to leverage big spatial data for improved modeling and predictive capabilities in natural disaster risk assessment. This paper explores the integration of a comprehensive dataset comprising historical landslide events and various geo-environmental variables within a spatially explicit machine learning framework. The study empirically demonstrates that incorporating big spatial data allows a more nuanced understanding of local variations and spatial dependencies. Ultimately, this empirical assessment produces more accurate landslide risk predictions than traditional baseline models. Using Italy’s expansive Valtellina Valley as a …
Questions For Panelists, Singapore Management University
Questions For Panelists, Singapore Management University
SMU Libraries’ Copyright Conference 2024
No abstract provided.
Behavioral Factors Associated With Patients' Non-Attendance: A Retrospective Study In An Outpatient Specialty Clinic At A Women's And Children's Hospital In Singapore, Yue Tang, Houyuan Jiang, Jingui Xie, Zhichao Zheng, Chui Yee Loke, Bee Keow Goh
Behavioral Factors Associated With Patients' Non-Attendance: A Retrospective Study In An Outpatient Specialty Clinic At A Women's And Children's Hospital In Singapore, Yue Tang, Houyuan Jiang, Jingui Xie, Zhichao Zheng, Chui Yee Loke, Bee Keow Goh
Research Collection Lee Kong Chian School Of Business
Background: This study aimed to identify behavioral factors that affect patient attendance in outpatient clinics, especially those related to rescheduling. Methods: A retrospective study was conducted on 20,386 appointment records for 6,252 patients in an outpatient specialty clinic at a women’s and children’s hospital in Singapore over 34 months (January 2012–October 2014). Multivariate logistic regression was used to analyze the influence of independent variables on appointment no-shows. Results: The average no-show rate of the study population was 28.87%. Patient historical behaviors were significantly associated with appointment attendance. In particular, a larger number of previous visits, more historical no-shows, more historical …
Social Institutions And Low Birth Rates, Christine Ho, Yutao Wang
Social Institutions And Low Birth Rates, Christine Ho, Yutao Wang
Research Collection School Of Economics
We document three cross-sectional stylized facts on labor supply and family formation. First, female labor force participation (FLFP) and total fertility rates (TFRs) are much lower in Eastern societies compared to Western economies. Second, labor hours and the gender pay gap are much higher in the East than in the West. Third, parents invest more in schooling in Eastern societies compared to Western economies. To account for these features, we develop and estimate a rich heterogeneous-agent model with endogenous marriage, fertility, labor supply, and time and money investment in children. Estimates using data from South Korea and the United States …
Evaluation Of Unplanned Reattendances To The Pediatric Emergency Department: A Five-Year Study, Liying Toh, Jin Wee Lee, Siok Hoon Ang, Sashikumar Ganapathy, Janani D/O Nadarajan, Shu-Ling Chong
Evaluation Of Unplanned Reattendances To The Pediatric Emergency Department: A Five-Year Study, Liying Toh, Jin Wee Lee, Siok Hoon Ang, Sashikumar Ganapathy, Janani D/O Nadarajan, Shu-Ling Chong
Research Collection School Of Economics
Background: Unplanned reattendances (UR) are an important quality indicator in the emergency department (ED). Understanding the risk factors associated with UR can aid clinicians in optimizing the allocation of time and resources, as well as targeted counselling for this specific group of patients. In this study, we aimed to compare patient characteristics between children who attended a pediatric emergency department (ED) with unplanned reattendances (UR) and those without UR. We also aimed to study the association between healthcare delivery factors such as timing of the attendance, patient load, changeover months for rotating junior doctors, presence of supervision, and rate of …
Daily Stress, Problematic Social Media Use, And Executive Functions: A Daily Diary Approach, Wee Qin Ng
Daily Stress, Problematic Social Media Use, And Executive Functions: A Daily Diary Approach, Wee Qin Ng
Dissertations and Theses Collection (Open Access)
A growing body of research suggests that daily stress may be a risk factor for problematic social media use. However, findings concerning the relation between stress and social media use are mixed, suggesting the presence of moderators that may buffer the relation between stress and problematic social media use. Further, previous studies have relied on either cross-sectional designs or longitudinal designs that may not fully capture daily experiences of stressors and social media use. To overcome these limitations, the present study utilized a 7-day daily diary study to investigate the within-individual associations between daily stress and problematic social media use. …
Construction And Empirical Assessment Of An Employee Health Management Index System For Chinese Enterprises, Ming Dong
Dissertations and Theses Collection (Open Access)
Purpose: Employee health management is critical for enhancing corporate productivity, and scientific evaluation is core to effective health management practices. This study aims to construct an evaluation index system for assessing the employee health management effectiveness tailored to China’s national conditions (Hereinafter called “evaluation system”), and to empirically assess its differentiation, accuracy, and universality.
Methodology: (1) Grounded in literature and policy analysis, the study adopts the PDCA theory as a foundational framework and employs a modified Delphi method to finalize the evaluation system's structure. Indicator weights were determined using the Analytic Hierarchy Process, and a standard scale was created for …
How Does Highly Educated Chinese Woman’S Endorsement Of Traditional Family Values Impact Her Well-Being?, Qiong Zhou
How Does Highly Educated Chinese Woman’S Endorsement Of Traditional Family Values Impact Her Well-Being?, Qiong Zhou
Dissertations and Theses Collection (Open Access)
With global advancements in gender equality and open-minded influence, Chinese women now have more opportunities to pursue higher education or independent work. However, there is a question of whether Chinese traditional family value still impacts Chinese women’s lives, thus affecting women's individual well-being.
Based on the results of a questionnaire survey and regression analysis of 301 highly educated Chinese women, we find that the endorsement of traditional family values by these women can indirectly affect their individual well-being through their engagement in job and family; that is, their achievements and satisfactions of job, family and self will be impacted by …
Granulocyte Colony Stimulating Factor Promotes Scarless Tissue Regeneration, Jianhe Huang, Satish: Murphy Sati, Casey A. Spencer, Emmanuel Rapp, Stephen M. Prouty, Scott Korte, Olivia Ahart, Emily Sheng, Anna E. Kersh, Denis Leung, Thomas H. Leung, Leung, Denis H. Y.
Granulocyte Colony Stimulating Factor Promotes Scarless Tissue Regeneration, Jianhe Huang, Satish: Murphy Sati, Casey A. Spencer, Emmanuel Rapp, Stephen M. Prouty, Scott Korte, Olivia Ahart, Emily Sheng, Anna E. Kersh, Denis Leung, Thomas H. Leung, Leung, Denis H. Y.
Research Collection School Of Economics
Mammals typically heal with fibrotic scars, and treatments to regenerate human skin and hair without a scar remain elusive. We discovered that mice lacking C-X-C motif chemokine receptor 2 (CXCR2 knockout [KO]) displayed robust and complete tissue regeneration across three different injury models: skin, hair follicle, and cartilage. Remarkably, wild-type mice receiving plasma from CXCR2 KO mice through parabiosis or injections healed wounds scarlessly. A comparison of circulating proteins using multiplex ELISA revealed a 24-fold higher plasma level of granulocyte colony stimulating factor (G-CSF) in CXCR2 KO blood. Local injections of G-CSF into wild-type (WT) mouse wound beds reduced scar …
Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay
Trust And Robotics: A Multi-Staged Decision-Making Approach To Robots In Community, Wenxi Zhang, Willow Wong, Mark Findlay
Research Collection Yong Pung How School Of Law
With the desired outcome of social good within the wider robotics ecosystem, trust is identified as the central adhesive of the human–robot interaction (HRI) interface. However, building trust between humans and robots involves more than improving the machine’s technical reliability or trustworthiness in function. This paper presents a holistic, community-based approach to trust-building, where trust is understood as a multifaceted and multi-staged looped relation that depends heavily on context and human perceptions. Building on past literature that identifies dispositional and learned stages of trust, our proposed decision to trust model considers more extensively the human and situational factors influencing how …
What Is The Fallacy Of Approximation?, Matthew Hammerton, Sovan Patra
What Is The Fallacy Of Approximation?, Matthew Hammerton, Sovan Patra
Research Collection School of Social Sciences
Many philosophers appeal to the “fallacy of approximation”, or “problem of second best”. However, despite the pervasiveness of such appeals, there has been only a single attempt to provide a systematic account of what the fallacy is. We identify the shortcomings of this account and propose a better one in its place. Our account not only captures all the contexts in which approximation-based reasoning occurs but also systematically explains the several different ways in which it can be in error.