3,417 research outputs found
The interplay between industry 4.0 maturity of manufacturing processes and performance measurement and management in SMEs
No full textPurpose: This paper proposes an SME oriented Industry 4.0 maturity framework to explore the interplay between manufacturing processes, performance measurement system and management practices (PMM). Given that the fourth industrial revolution, famously referred to as Industry 4.0, is a new paradigm for manufacturing firms, it is crucial to know the ‘as-is’ state or maturity of SMEs' manufacturing processes and link it with their PMM. Despite the availability of numerous maturity models, no previous study has tried to link the maturity of manufacturing processes with performance measurement and management. Design/methodology/approach: Due to the exploratory nature of the study and the lack of theoretical base for Industry 4.0 maturity and PMM interaction, especially in the SME context, a multiple case study approach has been adopted due to its robustness and effectiveness under such circumstances. Findings: There is a strong interplay between the maturity of manufacturing processes and PMM. The firms that have invested in their manufacturing processes have also developed performance measurements. Overall, performance measurement is more developed than performance management practices. Originality/value: The characteristics of the interplay between the maturity of manufacturing processes and PMM are summarized in three main propositions. Moreover, the study provides practitioners with an assessment framework to help SMEs evaluate the current state of their manufacturing processes and PMM to highlight the areas of improvement towards the I4.0 expedition
Scaling Aspects of Lyari River Flow Routing
No full textIn this communication we utilize an improved version for model proposed by Manning for the waste flow via an open channel Lyari. We have computed the status of discharges, storages and depth for all locations of the Lyari waste flow using this proposed model. We have found that the result obtained using this model is good agreement for the recent data sets.Open Channel, Proposed Model, Flow, Storage, Depth, Comparison
Integrating groupware technology into the learning environment
No full textThis paper presents the hard lessons learned from the introduction of groupware technology within a final‐year software engineering module. The module began in 1997 and is now in its fourth year. The paper provides a detailed account of our successes and failures in each year, and describes what the authors now feel is a successful model for integrating groupware into the learning environment. The paper is important because it provides a longitudinal study of the use of groupware within a learning environment and an insight into the key success factors associated with the use of groupware. Success factors relate not only to the technology but also to social factors such as group facilitation and social protocols, to factors associated with monitoring and assessment, and to factors related to the skills development associated with being a member of a global team
Concomitant medications and immune checkpoint inhibitor therapy for cancer: causation or association?
No full textThe majority of cancer patients assume concomitant medications for the treatment of cancer-related symptoms or co-morbidities. As immune checkpoint inhibitors expand in the treatment of a widening range of malignancies, drug–drug interactions have become an area of increasing interest due to the potential for some concomitant medications to exert immune-modulatory effects and influence outcomes from immunotherapy. Here, we review the evidence supporting this association across selected drug classes including antibiotics, proton pump inhibitors, metformin, and opioids
Evidence-Based Oracles Using Bayesian Network
No full textA blockchain oracle is a service that 'feeds' a smart contract with data from the off-chain world; in other words, it is a bridge between the off-chain and on-chain worlds. The main limitation of oracles is that the smart contract that receives data from an oracle has no guarantee that the data is reliable and, therefore, must trust it. Several solutions have been proposed recently to what has been called the 'oracle problem'. A limitation of these solutions is that they focus on how trustworthy the oracle is, and the solutions lack generality. The main original contributions of this work are: (1) An approach is proposed that focuses on the trustworthiness of the data, rather than of the oracle, by relying on the evidence collected to support the truth of such data. (2) The relationship between the evidence and the data has been formalized using Bayesian networks. (3) Bayesian networks have been implemented on smart contracts
Correction to: Understanding the process of meanings, materials, and competencies in adoption of mobile banking
No full textCorrection to: Electronic Markets (2022) 32: pp.2445-2469: https://doi.org/10.1007/s12525-022-00610-7. The original article was published on 28 November 2022. In the original article the affiliation of authors Wilson Ozuem, Kerry Howell and Silvia Ranfagni are missing. Given here are the complete affiliations.
Muhammad Naeem: School of Business & Management, Arden University, Arden House, Coventry, CV3 4FJ, UK.
Wilson Ozuem: Institute of Business, Leadership and Industry, University of Cumbria, Lancaster, LA1 1QD, UK.
Kerry Howell: Northumbria University, Newcastle, NE1 8ST, UK.
Silvia Ranfagni: Department of Economics and Business, University of Florence, Via delle Pandette, 9, Florence, 50127, Italy.
Corresponding author: Correspondence to Muhammad Naeem
Hemp: An Alternative Source for Various Industries and an Emerging Tool for Functional Food and Pharmaceutical Sectors
No full textHemp is a high-value crop that originated in Central Asia and is a historic but emerging cultivated plant. It may be grown for fiber, food, paper making, textiles, and therapeutic reasons. In the 21st century, market interest in hemp and its products has notably increased because seed portions can be utilized in the agri-food business, the woody component of the stem can be used in green buildings, the outer layer of the stems can be used in the textile industry, and the extraction of bioactive components from roots can play a vital role in the pharmacological industries. Hemp has recently been demonstrated to be a viable alternative for economies built on synthetic materials by the food, pharmaceutical, textiles, paper, building, and energy industries, among others. As a result, the goal of this study is to assemble the significant advancements in hemp, as well as to identify research gaps and research direction opportunities. The hemp plant will be provided more encouragement to be grown and be used. Many applications of hemp may be pushed to the next level for both producing a green environment and profit. A strong vision and a well-defined plan will pave the path for the discovery of new technologies and concepts
ShimFall&ADL: Triaxial accelerometer fall and activities of daily living detection dataset
No full textShimFall&ADL dataset
Version 1.0 (2020-06-19)
Please cite as: "T. Althobaiti, S. Katsigiannis, N. Ramzan, Triaxial accelerometer-based Fall and Activities of Daily Life detection using machine learning, Sensors, 20(13), 3777, 2020. doi: 10.3390/s20133777"
Disclaimer
While every care has been taken to ensure the accuracy of the data included in the ShimFall&ADL dataset, the authors and the University of the West of Scotland do not provide any guaranties and disclaim all responsibility and all liability (including without limitation, liability in negligence) for all expenses, losses, damages (including indirect or consequential damage) and costs which you might incur as a result of the provided data being inaccurate or incomplete in any way and for any reason. 2020, University of the West of Scotland, Scotland, United Kingdom.
Contact
For inquiries regarding the ShimFall&ADL dataset, please contact:
Dr Stamos Katsigiannis, [email protected], University of the West of Scotland
Prof. Naeem Ramzan, [email protected], University of the West of Scotland
Acknowledgment
The authors would like to thank Md. Hasan Shahriar for the data collection under his MSc project.
Dataset summary
The ShimFall&ADL dataset contains recordings from 35 individuals, acquired using a chest-strapped Shimmer v2 tri-axial accelerometer, recording at a 50Hz sampling rate. Experiments were conducted in a controlled environment at a research lab in the University of the West of Scotland. Thirty five (35) healthy individuals were recruited among young or mid-aged volunteers, aged between 19 and 34 years old, having a body weight between 52 and 113 kg, and a body height between 1.45 and 1.82 m.
Participants performed the following activities of daily living (ADL):
Jumping
Lying down
Bending/picking up
Sitting to a chair
Standing up from a chair
Walking
Participants performed the following falls:
Steep (hard)
Front (soft)
Front (hard)
Left (soft)
Left (hard)
Right (soft)
Right (hard)
Back (soft)
Back (hard)
Data
Each ".dat" file in the dataset corresponds to one event for one individual and contains 101 accelerometer samples corresponding to the event. Each row of the file corresponds to one 3-channel sample, dividing the x, y, z axes values using the "\t" character, as follows:
Row 1: x1\ty1\tz1
Row 2: x2\ty2\tz2
...
Row N: xN\tyN\tzN
The files within the dataset are named as follows:
adl__.dat
fall__.dat
For example, the file "adl_standingfromchair_18.dat" corresponds to the accelerometer recording of the 18th participant, performing the "standing up from chair" ADL. The file, "leftfall_soft_11.dat" corresponds to the accelerometer recording of the 11th participant, performing a soft left fall.
Additional information
For additional information regarding the creation of the ShimFall&ADL dataset, please refer to the associated publication: "T. Althobaiti, S. Katsigiannis, N. Ramzan, Triaxial accelerometer-based Fall and Activities of Daily Life detection using machine learning, Sensors, 20(13), 3777, 2020. doi: 10.3390/s20133777
Return and volatility spillovers between energy and BRIC markets: Evidence from quantile connectedness
No full textUsing the quantile connectedness approach for the median, lower, and upper quantiles, we examine the return and volatility connectedness between energy and BRIC markets from January 1, 2000, to July 9, 2021. We find that uncertain economic activity and intense periods characterize energy and BRIC market returns and volatility connectedness. A parallel return and volatility connectedness structure for upper and lower quantiles against the average quantile revealed different results. Time-varying features are substantiated between energy and BRIC markets; significant distress events, such as the Global Financial Crisis, European Debt Crisis, Shale Oil Revolution, and COVID-19 pandemic, intensified spillovers. We highlight diversification avenues for energy and BRIC markets given the periods of financial turmoil, with investors' concerns widely addressed by opt-in investment opportunities with lower risk and greater diversification. Our study has beneficial implications for policymakers, regulators, investors, and financial market constituents to redevelop their existing strategies to avoid financial losses
- …
