Reliability analysis of cost-efficient CH3NH3PbI3 based dopingless tunnel FET

2021 ◽  
Author(s):  
Preeti Sharma ◽  
Jaya Madan ◽  
Rahul Pandey ◽  
Rajnish Sharma
Keyword(s):  
Reliability Analysis ◽  
Deep Level ◽  
Tunneling Mechanism ◽  
Important Concern ◽  
Analog Performance ◽  
Donor Acceptor ◽  
Cost Efficient ◽  
Silvaco Atlas ◽  
The Impact ◽  
Trap Charges

Abstract Electrostatically-doped TFETs (ED-TFETs) are amongst the most widely used cost-efficient steeper devices due to the use of charge-plasma technique and tunneling mechanism. However, the reliability analysis of ED-TFETs has considered as an important concern for the research community. Also, most studies have only focused on improving the performance of ED-TFETs such as dopingless (DL)-TFET in terms of on-current (ION), subthreshold swing (SS) and threshold voltage (Vth) rather than investigating the reliability issues. In this context, the aim of our work is to investigate the reliability analysis of our previously reported methyl-ammonium lead tri-iodide materials based DL-TFET (MAPbI3-DL-TFET). The influence of interface trap charges, shallow and deep defects on the electrical and analog performance of MAPbI3-DL-TFET has been analyzed using Silvaco ATLAS tool at room temperature. Extensive results carried out show that deep-level (Gaussian) defects impact the performance of the device prominently while the tail defects affect the device performance insignificantly. The present findings showed that the donor/acceptor effect the device in subthreshold regime considerably, while in superthreshold regime the impact of trap charges is marginal. In our view, these result emphasizes the reliability analysis of MAPbI3-DL-TFET for the very first time. We hope that our research will be useful and valuable for DL-TFET manufacturers.

Banking market structure and efficiency: an assessment of the USA and Canada

2021 ◽  
Vol ahead-of-print (ahead-of-print) ◽  
Author(s):  
Salah U-Din ◽  
David Tripe
Keyword(s):  
Market Structure ◽  
Market Power ◽  
Negative Impact ◽  
Positive Impact ◽  
Bank Efficiency ◽  
Content Type ◽  
Frontier Analysis ◽  
Banking Market ◽  
Cost Efficient ◽  
The Impact

PurposeThe study aims to analyze the changes in banking market structure and their impact on the bank efficiency.Design/methodology/approachThis study uses a one-stage stochastic frontier analysis (SFA) to compare the impact of the market structure and the GFC on the economic efficiency of the major banks in both countries.FindingsA significant negative impact of the GFC is observed on bank efficiency. Overall, Canadian banks posted better efficiency scores than their American counterparts. Additionally, cost-efficient banks are found to be more resilient to crises and more profit-efficient in the post-GFC period. The authors found that market power had a positive impact on the cost and profit efficiency of banks. Higher levels of equity, market power and concentration helped banks be more cost-efficient.Research limitations/implicationsOnly large banks are selected for study although it represents the majority stake of both banking sectors.Practical implicationsBanking regulators should include more measures to assess the banking market structure and performance.Originality/valueAs per the best knowledge of the authors, it is the first study to assess the change in banking market structure and efficiency of the US and Canadian banking sectors in the post-GFC period.

The New Regulator in Town: The Effect of Walmart's Sustainability Mandate on Supplier Shareholder Value

2018 ◽  
Vol 82 (2) ◽  
pp. 124-141 ◽  
Author(s):  
Katrijn Gielens ◽  
Inge Geyskens ◽  
Barbara Deleersnyder ◽  
Max Nohe
Keyword(s):  
Brand Equity ◽  
Shareholder Value ◽  
Abnormal Returns ◽  
Short Term ◽  
Power Sources ◽  
Expert Power ◽  
Operational Characteristics ◽  
Countervailing Power ◽  
Cost Efficient ◽  
The Impact

Suppliers are increasingly being forced by dominant retailers to clean up their supply chains. These retailers argue that their sustainability mandates may translate into profits for suppliers, but many suppliers are cynical about these mandates because the onus to undertake the required investments is on them while potential gains may be usurped by the mandating retailer. We examine whether supplier fears are justified by studying the impact of Walmart's sustainability mandate on its suppliers’ (short-term) shareholder value. Although about two-thirds of suppliers are indeed financially harmed, approximately one-third benefit. To delve deeper into this variation, we relate suppliers’ short-term abnormal returns to Walmart's appropriation power and explore whether and to what extent a supplier's referent and expert power sources, derived from its marketing and operational characteristics, respectively, can counteract Walmart's appropriation attempts. We find that the supplier's marketing characteristics (its environmental reputation, brand equity, and advertising) provide it with the countervailing power needed to resist Walmart's appropriation attempts. In contrast, cost-efficient suppliers and suppliers that invest heavily in R&D have more difficulty withstanding Walmart's squeeze attempts.

scholarly journals Identifying Sensitive Components in Infrastructure Networks via Critical Flows

2019 ◽  
Author(s):  
James Williams
Keyword(s):  
Reliability Analysis ◽  
Critical Infrastructure ◽  
Urban Systems ◽  
Centrality Measures ◽  
Critical Flow ◽  
Infrastructure Networks ◽  
Component Importance ◽  
Infrastructure System ◽  
Critical Components ◽  
The Impact

This paper introduces a novel set of component importance measures that are based on the concept of critical flow. Various research communities have developed techniques for identifying critical components of networks. The methods in this paper extend previous work on flow-based centrality measures by adapting them to the assessment of critical infrastructure in urban systems. The motivation is to provide municipalities with a means of reasoning about the impact of urban interventions. An infrastructure system is represented as a flow network in which demand nodes are assigned both demand values and criticality ratings. Sensitive elements in the network are those that carry critical flows, where a flow is deemed critical to the extent that it satisfies critical demand. A method for computing these flows is presented, and its utility is demonstrated by comparing the new measures to existing flow centrality measures. The paper also shows how the method may be combined with standard approaches to reliability analysis.

scholarly journals Cost efficient internet of things based smart farm system for rural farmers: Leveraging design thinking approach

2021 ◽  
Vol 3 (2) ◽  
pp. 111-120
Author(s):  
Segun Adebayo ◽  
Ozichi Emuoyibofarhe ◽  
Tolulope Awofolaju
Keyword(s):  
Design Thinking ◽  
Agricultural Sector ◽  
Cost Benefit ◽  
Design Development ◽  
Impact Performance ◽  
Farm Productivity ◽  
Cost Benefit Ratio ◽  
Cost Efficient ◽  
The Cost ◽  
The Impact

Farmers are faced with challenges of producing enough food and the use of traditional methods seems not to keep pace with the ever-growing demand of the populace thus creating increased concern in food scarcity. Although it has been identified that smart tools will enhance the production pace needed in the Agricultural sector, unfortunately, most of these tools are designed for farmers without their inputs, thus creating tools that are not meeting demands. This study focused on a farmer-centered design, development, and deployment approach to improving farm productivity. The design thinking approach was used to identify the specific need of the farmers in selected areas, ideas were created using brainstorming sessions involving experts in the field, and prototypes were developed and deployed to evaluate the impact performance. The result shows that the proposed system improved the cost-benefit ratio of crop farming from 2.14 to 2.26. This is a 12% productivity increase.

scholarly journals How Web Shops Impact Consumer Behavior?

2021 ◽  
Vol 15 (3) ◽  
pp. 350-356
Author(s):  
Helena Štimac ◽  
Ivan Kelić ◽  
Karla Bilandžić
Keyword(s):  
Multivariate Analysis ◽  
Linear Regression ◽  
Correlation Analysis ◽  
Reliability Analysis ◽  
Online Shopping ◽  
Customer Behavior ◽  
Descriptive Statistics ◽  
Firm Reputation ◽  
Marketing Actions ◽  
The Impact

The behavior of e-customers is quite unpredictable, which raises additional questions about this topic. The purpose of the paper is to conduct research on e-customers, understand the impact of marketing actions on e-customer behavior and understand the unpredictability of e-customers. Research was conducted on the Mlinar web shop that sells cakes. 284 respondents/buyers had the opportunity to solve questionnaires about behavior after purchase and consumption of product. Different methods have been used in the analysis - descriptive statistics, multivariate analysis (reliability analysis, correlation analysis and linear regression) and analysis of variance (ANOVA). The results showed that most examinees were satisfied with online shopping on the Mlinar web shop and that they are impulsive when online shopping. Saving time is the main reason to buy on a web shop. Research proved that variables such as firm reputation/perceived value, e-satisfaction and online services positively affect the creation of e-loyalty in their users.

scholarly journals An Overview of Various Importance Measures of Reliability System

2017 ◽  
Vol 2 (3) ◽  
pp. 150-171 ◽  
Author(s):  
Kalpesh P. Amrutkar ◽  
Kirtee K. Kamalja
Keyword(s):  
Reliability Analysis ◽  
System Reliability ◽  
System Failure ◽  
Numerical Rank ◽  
Reliability Improvement ◽  
System Reliability Analysis ◽  
Component Importance ◽  
Critical Components ◽  
The Impact ◽  
Reliability Systems

One of the purposes of system reliability analysis is to identify the weaknesses or the critical components in a system and to quantify the impact of component’s failures. Various importance measures are being introduced by many researchers since 1969. These component importance measures provide a numerical rank to determine which components are more important to system reliability improvement or more critical to system failure. In this paper, we overview various components importance measures and briefly discuss them with examples. We also discuss some other extended importance measures and review the developments in study of various importance measures with respect to some of the popular reliability systems.

PRIMARY PREVENTION OF DEMENTIA: AN EPIDEMIOLOGICAL POINT OF VIEW

2016 ◽  
pp. 1-4
Author(s):  
C. Berr
Keyword(s):  
Risk Factors ◽  
Primary Prevention ◽  
Disease Onset ◽  
Point Of View ◽  
Level Of Evidence ◽  
Life Course Approach ◽  
Important Concern ◽  
Dementia Prevention ◽  
Underlying Mechanisms ◽  
The Impact

From an epidemiological perspective, in order to increase the level of evidence, it is necessary to refer to data from longitudinal studies to validate the temporal relationship between exposure (e.g. the behavior or modifying factor) and the disease. Findings from such studies are useful for defining risk factors and laying the groundwork for proposing interventions for prevention. This step is crucial in order to define the periods (life-course approach) and groups at risk, which will then become the targets of interventions designed to modify behaviors or lifestyle. Specifying the underlying mechanisms of these risk factors is one of the objectives of etiological epidemiology which focuses on the origin of diseases but is not essential for a more pragmatic interventional approach. These questions are essential for dementia prevention and are discussed in this paper. Furthermore, timing interventions is a major problem even if we identify primary prevention pathways in dementia. Another important concern for epidemiologists is the need to make projections to estimate the number of dementia cases in the next decades considering different intervention scenarios. These models require adequate descriptive indicators of dementia, demography and mortality and precise estimations of the impact of potential interventions in terms of delaying disease onset for instance.

Abstract 14965: Atrial Conduction During Obstructive Sleep Apnea: Comparison of Stacked Versus Isolated Apnea Episodes

Circulation ◽  
2020 ◽  
Vol 142 (Suppl_3) ◽  
Author(s):  
Krishan Patel ◽  
Hussain Basrawala ◽  
Pavan Reddy ◽  
Edwin Valladares ◽  
Vincent Grbach ◽  
...  
Keyword(s):  
Obstructive Sleep Apnea ◽  
Sleep Apnea ◽  
P Wave ◽  
Conduction Delay ◽  
Apnea Hypopnea Index ◽  
Peripheral Oxygen Saturation ◽  
Cardiovascular Comorbidities ◽  
Obstructive Sleep ◽  
Cost Efficient ◽  
The Impact

Introduction: Obstructive sleep apnea (OSA) is associated with increased rates of atrial fibrillation (AF). Recent randomized data suggest that traditional scoring of OSA needs to evolve to improve cardiovascular outcomes. Traditional scoring of OSA does not fully reflect pathophysiological links between OSA and AF, particularly regarding OSA-induced prolongation of p-wave duration (PWD), which is the most powerful predictor of AF occurrence. Hypothesis: We hypothesized that OSA episodes that closely follow each other (serially stacked apneas, ssOSA) exert greater effect on PWD compared to isolated OSA (iOSA) episodes. Methods: Sleeping patients (adults with mild-moderate OSA and presence of both iOSA and ssOSA, but without other cardiovascular comorbidities) undergoing diagnostic polysomnography were recorded by continuous 8-lead ECG. iOSA was defined as OSA episodes with no other episode within 30 seconds. ssOSA consisted of ≥3 consecutive apneas with inter-OSA intervals <30 seconds. PWD was defined from onset of p-wave in any ECG lead to termination in any lead (measured by digital calipers, averaged over 3 beats from first half of OSA and 3 beats from second half of OSA). Wilcoxon rank-sum test was used. Results: We analyzed 208 OSA episodes (51.0% iOSA, 49.0% ssOSA) which occurred in 12 patients (7 women; age 63.1±11.5 years; apnea hypopnea index 16.8±5.4). PWD was longer during ssOSA compared to iOSA (median 117.7ms vs 109.6ms; p<0.0001). The following variables did not differ between ssOSA and iOSA: PR interval (p=0.3139), RR interval (p=0.7531), peripheral oxygen saturation (p=0.7776). Conclusions: The impact of OSA on atrial conduction delay is exacerbated by the phenomenon of OSA stacking, which seems independent of oxygen desaturation and heart rate. Stacking of OSA episodes may be an underused and cost-efficient variable in evaluating the severity of OSA and the effectiveness of OSA treatments with the ultimate goal of reducing occurrence of AF.

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