Encouraging Individuals to Go Green by Gamification: An Empirical Study

The quality of the environment is the main concern of the current world. For the improvement of environmental quality, individuals are suggested to perform pro-environmental behaviors. Gamifying information systems to encourage their users to do so is an emerging phenomenon showing its potential for environmental conservation. Contributing to the environment in interesting ways is the main idea of gamification which helps the system attract users. However, maintaining active user engagement within such a gamified system is difficult. To understand the mechanism of users’ continuous intention to use gamified information system for environmental protection, this research based on the theories of goal framing and gamification affordance to explain what factors influence user’ continuance to use intention and what roles the gamification design takes in the user interaction with the system. This study contributes to knowledge of research and practice regarding gamified information systems for environmental protection

Calling for Information Systems Research on Esports: An Overview Study

Online gaming has become a pervasive entertainment activity, and its professionalization has resulted in esports (i.e., electronic sports)—a new blend of sport and business. Esports has a promising future given its widespread acceptance and significant business value. Its innovative nature necessitates more research to help understand and shape its future. We hold that scholars, especially information systems (IS) researchers, should pay more attention to this phenomenon since the IS discipline has a key interest in examining esports’ constituents (i.e., people, organizations, and technologies). To increase research attention and help readers understand esports, we compiled this research overview. In it, we first comprehensively define esports. Then, we summarize the esports development. We outline the current state of research in general and systematically review the IS perspective. Based on these efforts, we propose an esports research framework with four promising IS research avenues. We end by discussing “IS contributions” to esports and this overview’s implications. This study serves as a foundation for comprehensively mapping the esports practice and research landscape. We hope our findings can help others, especially IS researchers, more clearly understand esports and guide them towards creating increasingly impactful works

Developing Individual Dynamic Capabilities by Social Media: A empirical Investigation

Nowadays, we are in the midst of another social-technical revolution stimulated by the interaction between the human desire for efficiency and connectivity. During such revolution, the pace of life and work are becoming increasingly fast and usually erratic. Therefore, people are required to be more responsive and effective in dealing with changes happening in their lives. Social media are the predominant online offerings created in such revolution for fulfilling people’s needs of shaping social relationships. Besides serving users’ socialization purposes, social media have also rapidly changed the way individuals interact with others and even the way of learning, thinking and working. With the comprehensive use of various social media, individuals can perform information processing (e.g., information acquisition, assimilation and sharing) and external representation (e.g., shaping relationship, coordination and conflicts solution) more easily and frequently, which may further help them to develop their personal capabilities in dealing with changeable environments. However, there is limited research and empirical evidence regarding the bright sides of the diverse use of social media on the development of users’ individual capabilities in coping with dynamic environmental changes. Drawing upon the theories of media system dependency, boundary spanning and dynamic capability, this study thereby proposes that the comprehensive use of social media can be transformed into an individual’s dynamic capabilities through two important mechanisms: information processing and external representation. This study contributes to the literature by revealing how individuals can better deal with changing environments in the social media era and establishing the conceptualization and operationalization of individual dynamic capabilities

NMR Spectra Denoising with Vandermonde Constraints

Nuclear magnetic resonance (NMR) spectroscopy serves as an important tool to analyze chemicals and proteins in bioengineering. However, NMR signals are easily contaminated by noise during the data acquisition, which can affect subsequent quantitative analysis. Therefore, denoising NMR signals has been a long-time concern. In this work, we propose an optimization model-based iterative denoising method, CHORD-V, by treating the time-domain NMR signal as damped exponentials and maintaining the exponential signal form with a Vandermonde factorization. Results on both synthetic and realistic NMR data show that CHORD-V has a superior denoising performance over typical Cadzow and rQRd methods, and the state-of-the-art CHORD method. CHORD-V restores low-intensity spectral peaks more accurately, especially when the noise is relatively high.Comment: 10 pages, 9 figure

Improving Methane Production During the Anaerobic Digestion of Waste Activated Sludge: Cao-ultrasonic Pretreatment and Using Different Seed Sludges

AbstractThree individual seed sludges, which domesticated by filter paper (SS1), food waste (SS2) and grease (SS3), respectively, were used for enhancing the methane production of waste activated sludge (WAS). Also CaO-ultrasonic pretreatment was performed on WAS to evaluate the effectiveness on improving efficient anaerobic digestion (AD). The results showed that WAS being acidated for 24h after CaO-ultrasonic pretreatment was an effective method for increasing initial methane production rate. The daily concentration of volatile fatty acids (VFAs) during the AD course showed that the propionic was easier to be reduced after adding seed sludge. The optimum seed sludge for improving methane production and biodegradability of WAS was SS3, which led to an increase in the methane production of 68.92% and VS reduction of 69.20% higher than the control. This pretreatment combined with adding optimum seed sludge can greatly improve clean energy generation from WAS

A new method of lower extremity immobilization in radiotherapy

We developed a new method for immobilization of the fix lower extremities by using a thermoplastic mask, a carbon fiber base plate, a customized headrest, and an adjustable angle holder. The lower extremities of 11 patients with lower extremity tumors were immobilized by this method. CT simulation was performed for each patient. For all 11 patients, the device fit was suitable and comfortable and had good reproducibility, which was proven in daily radiotherapy

Unpacking the impact of OFDI speed and rhythm on innovation performance: Evidence from Chinese firms

In this study, we focus on the temporal behaviors – speed and rhythm – of outward foreign direct investment (OFDI) by emerging multinational enterprises (EMNEs) and examine the effect of such behaviors on innovation performance. Using a learning perspective, we argue that OFDI speed has an inverted U-shaped effect on EMNEs’ innovation performance, whereas the relationship between the uneven rhythm of OFDI and innovation performance is negative. The results, based on OFDI panel data of 1,092 Chinese firms, support our predictions that a moderate OFDI speed and a more regular pattern of OFDI expansion provide sources of competitiveness and contribute to firms’ innovation performance

Energy Consumption Forecasting Using Ensemble Learning Algorithms

DCAI 2019: Distributed Computing and Artificial Intelligence, 16th International Conference, Special SessionsThe increase of renewable energy sources of intermittent nature has brought several new challenges for power and energy systems. In order to deal with the variability from the generation side, there is the need to balance it by managing consumption appropriately. Forecasting energy consumption becomes, therefore, more relevant than ever. This paper presents and compares three different ensemble learning methods, namely random forests, gradient boosted regression trees and Adaboost. Hour-ahead electricity load forecasts are presented for the building N of GECAD at ISEP campus. The performance of the forecasting models is assessed, and results show that the Adaboost model is superior to the other considered models for the one-hour ahead forecasts. The results of this study compared to previous works indicates that ensemble learning methods are a viable choice for short-term load forecast.This work has received funding from National Funds through FCT (Fundaçao da Ciencia e Tecnologia) under the project SPET – 29165, call SAICT 2017.info:eu-repo/semantics/publishedVersio

A Nationwide Study of Maternal Exposure To Ambient Ozone and Term Birth Weight In the United States

Background: Maternal exposure to ozone (O3) may cause systemic inflammation and oxidative stress and contribute to fetal growth restriction. We sought to estimate the association between maternal exposure to O3 and term birth weight and term small for gestational age (SGA) in the United States (US). Methods: We conducted a nationwide study including 2,179,040 live term singleton births that occurred across 453 populous counties in the contiguous US in 2002. Daily county-level concentrations of O3 data were estimated using a Bayesian fusion model. We used linear regression to estimate the association between O3 exposure and term birth weight and logistic regression to estimate the association between O3 exposure and term SGA during each trimester of the pregnancy and the entire pregnancy after adjusting for maternal characteristics, infant sex, season of conception, ambient temperature, county poverty rate, and census region. We additionally used distributed lag models to identify the critical exposure windows by estimating the monthly and weekly associations. Results: A 10 parts per billion (ppb) increase in O3 over the entire pregnancy was associated with a lower term birth weight (-7.6 g; 95 % CI: −8.8 g, −6.4 g) and increased risk of SGA (odds ratio = 1.030; 95 % CI: 1.020, 1.040). The identified critical exposure windows were the 13th- 25th and 32nd −37th gestational weeks for term birth weight and 13th- 25th for term SGA. We found the association was more pronounced among mothers who were non-Hispanic Black, unmarried, or had lower education level. Conclusions: Among US singleton term births, maternal exposure to O3 was associated with lower rates of fetal growth, and the 13th- 25th gestational weeks were the identified critical exposure windows