A multi-level analysis of the implementation of industrial internet of things: challenges and future prospects

Industrial Internet of Things (IIoT) is still a new research area. The main emphasis of the IIoT literature is on identifying the challenges involved in implementation of the IIoT. This paper summarizes the literature on the barriers faced by any stakeholder aiming to adopt IIoT anywhere. After reviewing 31 empirical studies, three domains of factors have been identified, individual (skills, abilities and knowledge), institutional (organizational/management-related), and structural (technical and economic infrastructures). A total of eleven factors across the three dimensions have been extracted. The most important factors were the absence of human capital (limited individual soft and technical knowledge, skills and abilities), low information security experience leading to a high probability data leaks and high management resistance from employees and leaders. To strengthen information for successful IIoT implementation, this paper proposes the mandate of Security, Education, Training, and Awareness (SETA) initiatives for any stakeholder interested in IIoT adoption. A Causal loop diagram for the IIoT implementation is also developed and discussed in this wor

Using industry 4.0 capabilities for identifying and eliminating lean wastes

This paper conducts a review of the literature to identify associations in operations between Industry 4.0 capabilities such as Additive Manufacturing, Augmented Reality, Autonomous Robots, Big Data, Cloud Computing, IIoT, Simulation, and Systems Integration with the commonly identified lean manufacturing wastes of Transport, Inventory, Movement, Waiting, Overproduction, Overprocessing, Defects, and Underutilized skills. The paper documents research that links various capabilities and wastes, including how IIoT can be used to reduce defects in manufacturing, and how it can mitigate overproduction across industries. There is also evidence that big data implementation in manufacturing has positive effects on reducing waiting times across the manufacturing process and delivery, and that cloud computing technologies guarantee better estimates for product and predicted inventory amounts. The research finds impacts on the social aspect of manufacturing by how augmented reality tools are increasingly used in the manufacturing sector to improve workers’ knowledge, skills, and abilities, and that simulation software applications are capable of decreasing operator motion wastes. The paper concludes that there is a clear benefit for SMEs in using Industry 4.0 in lean implementation journeys, and it supports the efforts of manufacturing organizations to become leaner using Industry 4.0 capabilities and solutions

TOTAL QUALITY CULTURE (TQC) IN EDUCATIONAL INSTITUTIONS: A GULF CORPORATION COUNCIL (GCC) REGION STUDY

Adoption of Total Quality Management (TQM) principles has been recognised as a new framework for managing change within educational institutions. Although there have been studies examining the adoption of TQM, research on Total Quality Culture (TQC) in the Gulf Corporation Council (GCC) countries context and from educational institutions is lacking. To fill this gap, this paper uses 11 Critical-Success-Factors (CSFs) developed in revisited model of leverage points for a Total Quality Culture (TQC) to evaluate the progress of TQM. To conduct this empirical research, managers, principals, faculty, and administrators in charge of TQM or acceleration from many educational institutions in GCC countries were involved. This paper adds insight on the state of TQM in education in the Middle East, and particularly in the Gulf Corporation Council (GCC) context

Heart patient health monitoring system using invasive and non-invasive measurement

The abnormal heart conduction, known as arrhythmia, can contribute to cardiac diseases that carry the risk of fatal consequences. Healthcare professionals typically use electrocardiogram (ECG) signals and certain preliminary tests to identify abnormal patterns in a patient’s cardiac activity. To assess the overall cardiac health condition, cardiac specialists monitor these activities separately. This procedure may be arduous and time-intensive, potentially impacting the patient’s well-being. This study automates and introduces a novel solution for predicting the cardiac health conditions, specifically identifying cardiac morbidity and arrhythmia in patients by using invasive and non-invasive measurements. The experimental analyses conducted in medical studies entail extremely sensitive data and any partial or biased diagnoses in this field are deemed unacceptable. Therefore, this research aims to introduce a new concept of determining the uncertainty level of machine learning algorithms using information entropy. To assess the effectiveness of machine learning algorithms information entropy can be considered as a unique performance evaluator of the machine learning algorithm which is not selected previously any studies within the realm of bio-computational research. This experiment was conducted on arrhythmia and heart disease datasets collected from Massachusetts Institute of Technology-Berth Israel Hospital-arrhythmia (DB-1) and Cleveland Heart Disease (DB-2), respectively. Our framework consists of four significant steps: 1) Data acquisition, 2) Feature preprocessing approach, 3) Implementation of learning algorithms, and 4) Information Entropy. The results demonstrate the average performance in terms of accuracy achieved by the classification algorithms: Neural Network (NN) achieved 99.74%, K-Nearest Neighbor (KNN) 98.98%, Support Vector Machine (SVM) 99.37%, Random Forest (RF) 99.76 % and Naïve Bayes (NB) 98.66% respectively. We believe that this study paves the way for further research, offering a framework for identifying cardiac health conditions through machine learning techniques

Adhesion Awareness: A National Survey of Surgeons

Contains fulltext : 87943.pdf (publisher's version ) (Closed access)BACKGROUND: Postoperative adhesions are the most frequent complication of abdominal surgery, leading to high morbidity, mortality, and costs. However, the problem seems to be neglected by surgeons for largely unknown reasons. METHODS: A survey assessing knowledge and personal opinion about the extent and impact of adhesions was sent to all Dutch surgeons and surgical trainees. The informed-consent process and application of antiadhesive agents were questioned in addition. RESULTS: The response rate was 34.4%. Two thirds of all respondents (67.7%) agreed that adhesions exert a clinically relevant, negative effect. A negative perception of adhesions correlated with a positive attitude regarding adhesion prevention (rho = 0.182, p < 0.001). However, underestimation of the extent and impact of adhesions resulted in low knowledge scores (mean test score 37.6%). Lower scores correlated with more uncertainty about indications for antiadhesive agents which, in turn, correlated with never having used any of these agents (rho = 0.140, p = 0.002; rho = 0.095, p = 0.035; respectively). Four in 10 respondents (40.9%) indicated that they never inform patients on adhesions and only 9.8% informed patients routinely. A majority of surgeons (55.9%) used antiadhesive agents in the past, but only a minority (13.4%) did in the previous year. Of trainees, 82.1% foresaw an increase in the use of antiadhesive agents compared to 64.5% of surgeons (p < 0.001). CONCLUSIONS: The magnitude of the problem of postoperative adhesions is underestimated and informed consent is provided inadequately by Dutch surgeons. Exerting adhesion prevention is related to the perception of and knowledge about adhesions.1 december 201

Effects of hospital facilities on patient outcomes after cancer surgery: an international, prospective, observational study

Background Early death after cancer surgery is higher in low-income and middle-income countries (LMICs) compared with in high-income countries, yet the impact of facility characteristics on early postoperative outcomes is unknown. The aim of this study was to examine the association between hospital infrastructure, resource availability, and processes on early outcomes after cancer surgery worldwide.Methods A multimethods analysis was performed as part of the GlobalSurg 3 study-a multicentre, international, prospective cohort study of patients who had surgery for breast, colorectal, or gastric cancer. The primary outcomes were 30-day mortality and 30-day major complication rates. Potentially beneficial hospital facilities were identified by variable selection to select those associated with 30-day mortality. Adjusted outcomes were determined using generalised estimating equations to account for patient characteristics and country-income group, with population stratification by hospital.Findings Between April 1, 2018, and April 23, 2019, facility-level data were collected for 9685 patients across 238 hospitals in 66 countries (91 hospitals in 20 high-income countries; 57 hospitals in 19 upper-middle-income countries; and 90 hospitals in 27 low-income to lower-middle-income countries). The availability of five hospital facilities was inversely associated with mortality: ultrasound, CT scanner, critical care unit, opioid analgesia, and oncologist. After adjustment for case-mix and country income group, hospitals with three or fewer of these facilities (62 hospitals, 1294 patients) had higher mortality compared with those with four or five (adjusted odds ratio [OR] 3.85 [95% CI 2.58-5.75]; p&lt;0.0001), with excess mortality predominantly explained by a limited capacity to rescue following the development of major complications (63.0% vs 82.7%; OR 0.35 [0.23-0.53]; p&lt;0.0001). Across LMICs, improvements in hospital facilities would prevent one to three deaths for every 100 patients undergoing surgery for cancer.Interpretation Hospitals with higher levels of infrastructure and resources have better outcomes after cancer surgery, independent of country income. Without urgent strengthening of hospital infrastructure and resources, the reductions in cancer-associated mortality associated with improved access will not be realised

AMALAN TERBAIK BAGI AHLI KUBUR/SM-18

110hlm;13x19c

ISTRI-ISTRI YANG DIRINDUKAN SYURGA (ENGKAULAH BIDADARI SYURGAKU)/SM-18

100hlm;13x19c

AMALAN TERBAIK BAGI AHLI KUBUR/SM-18

110hlm;13x19c

ISTRI-ISTRI YANG DIRINDUKAN SYURGA (ENGKAULAH BIDADARI SYURGAKU)/SM-18

100hlm;13x19c