- Global trade and economics
- Energy, Environment, Economic Growth
- Environmental Sustainability in Business
- International Development and Aid
- Climate Change, Adaptation, Migration
- Cloud Computing and Resource Management
- Disaster Management and Resilience
- Electoral Systems and Political Participation
- Culture, Economy, and Development Studies
- Distributed and Parallel Computing Systems
- Higher Education Learning Practices
- Human Mobility and Location-Based Analysis
- Vietnamese History and Culture Studies
- Opportunistic and Delay-Tolerant Networks
- Political Influence and Corporate Strategies
- Migration and Labor Dynamics
- IoT and Edge/Fog Computing
- Vehicular Ad Hoc Networks (VANETs)
- Data-Driven Disease Surveillance
- Global trade, sustainability, and social impact
- International Arbitration and Investment Law
- Experimental Behavioral Economics Studies
- Transportation Planning and Optimization
- COVID-19 Pandemic Impacts
- Social Media and Politics
University of Bern
2023-2025
Logan Regional Hospital
2025
Regional Medical Center
2025
The University of Texas MD Anderson Cancer Center
2024
Swiss Academy of Sciences
2023-2024
Wyss Academy for Nature
2023
Foreign Trade University
2023
Australian National University
2013-2022
Ritsumeikan University
2019-2022
University of Southern California
2014-2021
The displacement of people due to climatic changes (environmental migration) presents major societal and governance challenges. This article examines whether how climate-induced rural-to-urban migration contributes social-movement participation. We argue that the mainly forceful nature relocation makes environmental migrants more likely join participate in social movements promote migrant rights urban areas. Using original survey data from Kenya, we find individuals who had experienced...
Sustainable and practical personal mobility solutions for campus environments have traditionally revolved around the use of bicycles, or provision pedestrian facilities. However many also experience traffic congestion, parking difficulties pollution from fossil-fuelled vehicles. It appears that pedal power alone has not been sufficient to supplant petrol diesel vehicles date, therefore it is opportune investigate both reasons behind continual environmentally unfriendly transport, consider...
Many political leaders of the Global South oppose linkages between trade liberalization and environmental protection. We field-tested a combination surveys conjoint experiments in Costa Rica, Nicaragua, Vietnam to examine whether citizens developing countries share this position. The results show that do not view economic integration protection as trade-off. To contrary, individuals with greener preferences are more supportive liberalization. Furthermore, contrast prevailing government...
Geopolitical events and economic uncertainty, such as war, civil turmoil, massive terrorist acts, can cause significant fluctuations swings in oil prices, which contributed to increased volatility of the international prices. We use GARCH MGARCH model assess impact geopolitical risk policy uncertainty on spillover effects between with Risk Economic Policy Uncertainty exogenous shock. exploit an unique time series data set index recording monthly intervals prices from January 2002 December...
Diagnosing adrenal insufficiency is challenging due to its nonspecific symptoms and insidious onset. We report the case of a 55-year-old woman who developed persistent eosinophilia accompanied by nausea, vomiting, fatigue, muscle weakness, dizziness, brain fog following her second COVID-19 vaccination. A comprehensive evaluation ultimately led diagnosis insufficiency. Her resolved with corticosteroid therapy. This demonstrated an unusual presentation importance considering it in differential...
<title>Abstract</title> Background This study explores generational differences in maternal health practices among Vietnamese mothers of children with orofacial clefts (OFCs) living rural communities Vietnam. Through narrative interviews 21 and five physicians, it highlights significant gaps prenatal nutrition knowledge, barriers to diagnostic tools, the conflict between traditional contemporary medical advice. Methods employed a research methodology combination minimal semi-structured using...
Policy-makers require data-driven tools to assess the spread of COVID-19 and inform public their risk infection on an ongoing basis. We propose a rigorous hybrid model-and-data-driven approach scoring based time-varying SIR epidemic model that ultimately yields simplified color-coded level for each community. The score Γt we is proportional probability someone currently healthy getting infected in next 24 hours locality. show how this can be estimated using another useful metric spread, Rt,...
Purpose The aim of this empirical study is to investigate an integrated model that captures the way service quality banking kiosks (BK-SQ) exerts its impacts on customer perceived value and satisfaction moderating mechanism technology readiness (TR) in quality–satisfaction relationship sector Vietnam. Design/methodology/approach An offline survey was conducted obtain responses from 604 users Exploratory factor analysis, confirmatory analysis structural equation modeling were used for data...
In response to changing climatic conditions, people are increasingly likely migrate. However, individual-level survey data reveal that mainly state economic, social, or political reasons as the main drivers for their relocation decision–not environmental motives climate change specifically. To shed light on this discrepancy, we distinguish between sudden-onset (e.g., floods and storms) slow-onset droughts salinity) changes argue salience of conditions in individuals’ migration decisions is...
In view of recent political backlash against various trade agreements, we are interested in understanding how social trust influences public opinion on international trade. Recent correlational studies suggest that such an effect might exist, but further research is needed to establish whether does indeed play a causal role shaping the mass public’s attitudes. We use experimental approach assess higher levels lead more support for free To induce variation trust, expose study participants...
In the era of Internet Things, there is an increasing demand for networked computing to support requirements time-constrained, compute-intensive distributed applications. We present a container orchestration architecture dispersed computing, and its implementation in open source software called Jupiter. The system automates distribution computational tasks complex applications described as Directed Acyclic Graph (DAG) efficiently distribute among set compute nodes orchestrates execution DAG...
Abstract Public opinion can often become a key challenge to international cooperation efforts. In their attempt garner support for position, stakeholders fight the hearts and minds of public based on arguments about consequences different policy options. But what extent do individuals’ preferences change when exposed such information? And how does this depend information being congruent or contradictory pre-existing preferences? We address these questions in context negotiations potentially...
CIRCE (Centralized Runtime sChedulEr) is a runtime scheduling software tool for dispersed computing. It can deploy pipelined computations described in the form of Directed Acyclic Graph (DAG) on multiple geographically compute nodes at edge and cloud. A key innovation this scheduler compared to prior work incorporation run-time network profiler which accounts performance among when scheduling. This demo will show an implementation deployed testbed tens nodes, from both computing distributed...
Abstract Do environmental implications of international trade influence public support for economic globalization? And under what conditions do considerations shape individuals’ attitudes and policy preferences? In this study, we examine the microfoundations trade–environment nexus based on survey-embedded experiments in six OECD countries. Our empirical findings demonstrate that have a substantial causal effect opinion about trade. Furthermore, our results indicate citizens are similarly...
According to [1], cloud computing is one of ICT core areas in the next five years. The paradigm also a research trend that has attracted strongly scientist community. Until now, there are many studies, which have focused on saving energy for servers systems. During operation process data center, idle bring about power waste phenomenon. In order overcome problem, turning off popular solution applied most researches. However, turn on/off processes often affect significantly quality service...
With a growing demand for computationally intensive applications with widely distributed data sources, there is an increased need dispersed computing systems that can schedule computation on cloud nodes across network. A key challenge in the to characterize end network performance transfer between compute points and measure it at run-time so optimized scheduling decisions be made. To address this challenge, we empirically study file times geographically using SCP (secure copy). We show, our...
We present a study which aims to infer the vehicular traffic origin-destination matrix for Los Angeles Downtown Area, from unique real-world LA Metro data source comprises sensor information of counts and speeds obtained in real-time arterial road intersections. review possible solution approaches discuss one is used here details. The final results are presented three different time intervals with regimes same day.
Contesting schools of literature argue that trade policy issues are either highly salient or nonsalient to perspective voters. These divergent views obfuscate the fact salience varies significantly over time. This study focuses on role citizens’ perceptions their economic performance relative national trends by combining individual pocketbook and sociotropic considerations analyze conditions cause become Using cross-sectional data from multiple waves American National Election Studies survey...