scholarly journals Servitization in Support of Sustainable Cities: What Are Steel’s Contributions and Challenges?

2019 ◽  
Vol 11 (3) ◽  
pp. 855 ◽  
Author(s):  
Julian Pinto ◽  
Manuel Morales ◽  
Mariia Fedoruk ◽  
Marina Kovaleva ◽  
Arnaud Diemer
Keyword(s):  
Urban Metabolism ◽  
Supply Side ◽  
Sustainable Cities ◽  
Close Attention ◽  
Short Term ◽  
Self Sufficiency ◽  
Wide Range ◽  
Environmental Goals ◽  
Do So

In the pursuit of eco-efficiency, resilience, and self-sufficiency, sustainable cities focus on long-term environmental goals instead of only short-term economic ones. To do so, many of them rely on servitization, the practice of replacing tangible solutions for intangible ones. Considering steel’s wide range of applications and its pervasive presence, this article’s goal was twofold: Not only to understand how servitization helps sustainable cities, but also the contributions and challenges of the steel present in service-providing. To do so, the criteria of sustainable urban metabolism and circles of sustainability were used to analyze three case studies of servitization: energy, housing, and mobility. The results showed that servitization can provide significant benefits to sustainable cities, while also being able to substantially alter the supply-side dynamics of steelmaking by affecting, most notably, demand. This brought to light how important it is for steelmakers to pay close attention to the service-providing initiatives that may concern their clients and products. Nevertheless, further research is necessary to fully understand all of the effects that servitization can have on all of the commodities involved in its implementation.

scholarly journals Perception of investing in crypto in India using UTAUT model

2021 ◽  
Vol 9 (10) ◽  
pp. 1396-1400
Author(s):  
Vidhi Shah
Keyword(s):  
Indian Population ◽  
Social Benefits ◽  
Short Term ◽  
Perceived Safety ◽  
Utaut Model ◽  
Performance Expectancy ◽  
Wide Range ◽  
Effort Expectancy ◽  
Do So

Abstract: This research was conducted to gather data and understand the perception what the Indian population holds when it comes to investing in cryptocurrency. To do so, a survey was designed using the UTAUT model and was circulated by the means of google forms. A wide range of parameters were considered to avail the maximum possible accuracy for the data collected. Parameters like, the ease of investing crypto, short term and long term benefits, monetary benefits, social benefits were considered. All of these parameters were supposed to be answered on a scale of 5. After collecting all the data, the results were analyzed and evaluated using which the hypothesis made were proved. Keywords: Cryptocurrency, UTAUT, performance expectancy, effort expectancy, perceived monetary benefits, perceived safety, social influence, adoption intension.

scholarly journals Adoption Intention of UPI Payment Method Using Unified Theory

2021 ◽  
Vol 9 (12) ◽  
pp. 1456-1460
Author(s):  
Vidhi Shah
Keyword(s):  
Indian Population ◽  
Unified Theory ◽  
Payment Method ◽  
Short Term ◽  
Perceived Safety ◽  
Wide Range ◽  
Effort Expectancy ◽  
Adoption Intention ◽  
Do So

Abstract: This research was conducted to gather data and understand the perception what the Indian population holds when it comes to using UPI payment method. To do so, a survey was designed using the UTAUT model and was circulated by the means of google forms. A wide range of parameters were considered to avail the maximum possible accuracy for the data collected. Parameters like, the ease of using this payment method, short term and long term benefits, monetary benefits, social benefits were considered. All of these parameters were supposed to be answered on a scale of 5. After collecting all the data, the results were analyzed and evaluated using which the hypothesis made were proved. Keywords: UPI, payment, transaction, UTAUT, performance expectancy, effort expectancy, perceived monetary benefits, perceived safety, social influence, adoption intension.

scholarly journals Observations of rapid-fire event tremor at Lascar volcano, Chile

1996 ◽  
Vol 39 (2) ◽  
Author(s):  
G. Asch ◽  
K. Wylegalla ◽  
M. Hellweg ◽  
D. Seidl ◽  
H. Rademacher
Keyword(s):  
Fractal Structure ◽  
Seismic Station ◽  
Active Volcano ◽  
Short Term ◽  
Fire Event ◽  
Local Seismicity ◽  
Short Period ◽  
Wide Range ◽  
Lascar Volcano

During the Proyecto de Investigaciòn Sismològica de la Cordillera Occidental (PISCO '94) in the Atacama desert of Northern Chile, a continuously recording broadband seismic station was installed to the NW of the currently active volcano, Lascar. For the month of April, 1994, an additional network of three, short period, three-component stations was deployed around the volcano to help discriminate its seismic signals from other local seismicity. During the deployment, the volcanic activity at Lascar appeared to be limited mainly to the emission of steam and SO2. Tremor from Lascar is a random, «rapid-fire» series of events with a wide range of amplitudes and a quasi-fractal structure. The tremor is generated by an ensemble of independent elementary sources clustered in the volcanic edifice. In the short-term, the excitation of the sources fluctuates strongly, while the long-term power spectrum is very stationary.

Session 23: Maintaining Motivation

2016 ◽  
pp. 139-144
Author(s):  
Evan M. Forman ◽  
Meghan L. Butryn
Keyword(s):  
Weight Loss ◽  
Weight Control ◽  
Hard Work ◽  
Short Term ◽  
Self Monitoring ◽  
Healthy Behaviors ◽  
Weight Control Behaviors ◽  
Motivate Behavior ◽  
Do So

This chapter (Session 23) discusses how to maintain long-term motivation for weight control by focusing on the importance of values to motivate behavior, even if short-term reward of weight control behaviors is decreasing (e.g., weight loss is slowing, self-monitoring is becoming tiresome). Clients are encouraged to view the hard work of weight control as working toward their values and to use the skill of willingness to continue to engage in healthy behaviors, even when it is difficult uncomfortable to do so.

Differential Effects of Worry and Imagery After Exposure to a Stressful Stimulus: A Pilot Study

1995 ◽  
Vol 23 (1) ◽  
pp. 45-56 ◽  
Author(s):  
Gillian Butler ◽  
Adrian Wells ◽  
Hilary Dewick
Keyword(s):  
Pilot Study ◽  
Emotional Processing ◽  
Long Term Effects ◽  
Short Term ◽  
Differential Effects ◽  
Short And Long Term ◽  
Intrusive Cognitions ◽  
Stressful Stimulus ◽  
Do So

Imagery appears to be associated with higher levels of anxiety than does worry. Borkovec has argued that worry could be a way of avoiding distressing imagery and the associated affect. Thus worry could suppress emotional activation, interfere with emotional processing, and contribute to the maintenance of anxiety. This hypothesis suggests that short and long-term effects of worrying after experiencing a distressing stimulus should differ from the effects of engaging in imagery. In the short term, imagery should maintain anxiety while worry should not do so, or should do so less. In the longer term, worry should be a less successful way of reducing anxiety associated with the stimulus than imagery, and should be followed by a greater number of intrusive cognitions (indicating the relative failure of emotional processing). These predictions were tested by asking subjects to worry, engage in imagery or “settle down” after watching a distressing video. The results were broadly consistent with the hypothesis. Other interpretations are also considered.

scholarly journals APASL HCV guidelines of virus-eradicated patients by DAA on how to monitor HCC occurrence and HBV reactivation

2019 ◽  
Vol 13 (6) ◽  
pp. 649-661 ◽  
Author(s):  
Tatsuo Kanda ◽  
George K. K. Lau ◽  
Lai Wei ◽  
Mitsuhiko Moriyama ◽  
Ming-Lung Yu ◽  
...  
Keyword(s):  
Hbv Dna ◽  
Hbv Reactivation ◽  
Close Attention ◽  
Short Term ◽  
Direct Acting Antiviral ◽  
B Virus ◽  
Direct Acting ◽  
Very High

Abstract In the direct-acting antiviral (DAA) era for hepatitis C virus (HCV) infection, sustained virological response (SVR) is very high, but close attention must be paid to the possible occurrence of hepatocellular carcinoma (HCC) and reactivation of hepatitis B virus (HBV) in patients with co-infection who achieved SVR in short term. HCC occurrence was more often observed in patients with previous HCC history. We found occurrence of HCC in 178 (29.6%) of 602 patients with previous HCC history (15.4 months mean follow-up post-DAA initiation) but, in contrast, in only 604 (1.3%) of 45,870 patients without previous HCC history (18.2 months mean follow-up). Thus, in these guidelines, we recommend the following: in patients with previous HCC history, surveillance at 4-month intervals for HCC by ultrasonography (US) and tumor markers should be performed. In patients without previous HCC history, surveillance at 6- to 12-month intervals for HCC including US is recommended until the long-term DAA treatment effects, especially for the resolution of liver fibrosis, are confirmed. This guideline also includes recommendations on how to follow-up patients who have been infected with both HCV and HBV. When HCV was eradicated in these HBsAg-positive patients or patients with previous HBV infection (anti-HBc and/or anti-HBs-positive), it was shown that HBV reactivation or HBV DNA reappearance was observed in 67 (41.4%) of 162 or 12 (0.9%) of 1317, respectively. For these co-infected patients, careful attention should be paid to HBV reactivation for 24 weeks post-treatment.

scholarly journals Prevalence and prognostic implication of iron deficiency and anaemia in patients with severe aortic stenosis

Open Heart ◽  
2018 ◽  
Vol 5 (2) ◽  
pp. e000901
Author(s):  
Anette Borger Kvaslerud ◽  
Amjad Iqbal Hussain ◽  
Andreas Auensen ◽  
Thor Ueland ◽  
Annika E Michelsen ◽  
...  
Keyword(s):  
Iron Deficiency ◽  
Aortic Stenosis ◽  
Severe Aortic Stenosis ◽  
Iron Status ◽  
Transferrin Saturation ◽  
Short Term ◽  
Prognostic Implication ◽  
Wide Range ◽  
One Year

ObjectiveThe aim of this study was to evaluate the prevalence and prognostic implication of iron deficiency (ID) and anaemia in patients with severe aortic stenosis (AS).MethodsIn an observational study of consecutive patients referred for aortic valve replacement (AVR), we assessed a wide range of biomarkers of iron status, including the definition of ID commonly applied in patients with chronic heart failure (ferritin <100 µg/L or ferritin 100–299 µg/L with a transferrin saturation <20%). The endpoints were short-term (one-year) and long-term (median 4.7 years, IQR: 3.8–5.5) mortality and major adverse cardiovascular events (MACE) within the first year after inclusion.Results464 patients were included in this substudy. 91 patients (20%) received conservative treatment and 373 patients (80%) received AVR. ID was detected in 246 patients (53%). 94 patients (20%) had anaemia. Patients with ID had an overall worse clinical profile than patients without ID. During follow-up, 129 patients (28%) died. Neither ID as defined above, soluble transferrin receptor nor hepcidin were associated with short-term or long-term mortality or MACE independent on treatment allocation. Anaemia was associated with one-year mortality in conservatively treated patients.ConclusionsID and anaemia are prevalent in patients with severe AS. In our cohort, ID did not provide independent prognostic information on top of conventional risk factors. More studies are required to determine how to correctly diagnose ID in patients with AS.Trial registration numberNCT01794832.

scholarly journals Novel FTLRNN with Gamma Memory for Short-Term and Long-Term Predictions of Chaotic Time Series

2009 ◽  
Vol 2009 ◽  
pp. 1-21
Author(s):  
Sanjay L. Badjate ◽  
Sanjay V. Dudul
Keyword(s):  
Neural Network ◽  
Time Series ◽  
Mean Squared Error ◽  
Chaotic Time Series ◽  
Nonstationary Time Series ◽  
Medium Term ◽  
Short Term ◽  
Squared Error ◽  
Wide Range

Multistep ahead prediction of a chaotic time series is a difficult task that has attracted increasing interest in the recent years. The interest in this work is the development of nonlinear neural network models for the purpose of building multistep chaotic time series prediction. In the literature there is a wide range of different approaches but their success depends on the predicting performance of the individual methods. Also the most popular neural models are based on the statistical and traditional feed forward neural networks. But it is seen that this kind of neural model may present some disadvantages when long-term prediction is required. In this paper focused time-lagged recurrent neural network (FTLRNN) model with gamma memory is developed for different prediction horizons. It is observed that this predictor performs remarkably well for short-term predictions as well as medium-term predictions. For coupled partial differential equations generated chaotic time series such as Mackey Glass and Duffing, FTLRNN-based predictor performs consistently well for different depths of predictions ranging from short term to long term, with only slight deterioration after k is increased beyond 50. For real-world highly complex and nonstationary time series like Sunspots and Laser, though the proposed predictor does perform reasonably for short term and medium-term predictions, its prediction ability drops for long term ahead prediction. However, still this is the best possible prediction results considering the facts that these are nonstationary time series. As a matter of fact, no other NN configuration can match the performance of FTLRNN model. The authors experimented the performance of this FTLRNN model on predicting the dynamic behavior of typical Chaotic Mackey-Glass time series, Duffing time series, and two real-time chaotic time series such as monthly sunspots and laser. Static multi layer perceptron (MLP) model is also attempted and compared against the proposed model on the performance measures like mean squared error (MSE), Normalized mean squared error (NMSE), and Correlation Coefficient (r). The standard back-propagation algorithm with momentum term has been used for both the models.

Venture Capitalists as gatekeepers for Biotechnological Innovation

2015 ◽  
Vol 21 (3) ◽  
Author(s):  
Kenneth Fernald ◽  
Ruud Hoeben ◽  
Eric Claassen
Keyword(s):  
Personalized Medicine ◽  
Small Molecule ◽  
Venture Capitalists ◽  
Exit Strategy ◽  
Close Attention ◽  
Short Term ◽  
Peptide Therapeutics ◽  
Small Molecule Drugs ◽  
Biotechnology Companies

Venture capitalists (VCs) aim at trade sales as a preferred exit-strategy for biotechnology companies they invest in. Therefore, VCs pay close attention to the wishes of larger (bio)pharmaceutical acquirers. In this paper we explore VCs’ behavior and strategies by analyzing the technology fields and therapeutic areas in which they are invested most and which yield the highest returns by means of trade sales. The data show that VCs are by far most invested in oncology and this is also an area in which relatively high returns are realized. Regarding other areas, VCs could balance their average investment valuations more in correspondence with what acquirers are willing to pay. In addition, VCs have formidable insight in the types of technologies that do well and they seem to employ a strategy focused on both short-term and long-term success. They are investing most in small molecule drugs and protein/peptide therapeutics, which both yield high returns, followed by DNA/RNA technologies which underlie the possibilities of personalized medicine. We conclude that Venture Capitalists act as technological gatekeepers because they are predicting long-term cure and care macro-trends.

scholarly journals The Effectiveness of Employment Vouchers: A Simple Approach

2000 ◽  
Vol 1 (4) ◽  
pp. 385-419 ◽  
Author(s):  
J. Michael Orszag ◽  
Dennis J. Snower
Keyword(s):  
Optimal Policy ◽  
Policy Design ◽  
Unemployment Benefits ◽  
Government Budget ◽  
Long Term Effects ◽  
Short Term ◽  
Wide Range ◽  
The Government ◽  
Hiring And Firing

Abstract This paper explores the optimal design of subsidies for hiring unemployed workers (`employment vouchers' for short) in the context of a simple dynamic model of the labour market. Focusing on the short-term and long-term effects of the vouchers on employment and unemployment, the analysis shows how the optimal policy depends on the rates of hiring and firing, and on the problems of displacement and deadweight. It also examines the roles of the government budget constraint and of the level of unemployment benefits in optimal policy design. We calibrate the model and evaluate the effectiveness of employment vouchers in reducing unemployment for a wide range of feasible parameters.

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