Towards Sustainable Production Processes Reengineering: Case Study at INCOM Egypt

INCOM Egypt has undergone automation in some processes where critical aspects of its operations are transformed and automated. This paper presents an overview of INCOM Egypt processes using Ould Riva and analyses the process of ‘handling a product’. It aims to demonstrate effective automation of the production of wires and cables process accompanied to Industry 4.0 while considering environmental and economic sustainability goals that were inhibited by COVID-19 restrictions. Ould’s Riva method is used to analyse the production process of wires and cables to propose improvements for automating the process. Business process modelling is utilised to study the processes for clearer understating. The flow of information within the process is also analysed to integrate the production process with other processes and supply chains, which helps to identify which production activities can be automated and mainstreamed into the information flow to achieve environmental and economic sustainability. The context of INCOM Egypt, as a case study, is presented along with the Riva model of its operations. The paper identifies the before, i.e., As-Is process, and after, i.e., To-Be Process, automation of the ‘handle a product’ process using the Role Activity Diagram (RAD). The process involved redesigning and improving different activities to increase resource-use efficiency to participate in achieving the goals of sustainability. The focus of this paper is to investigate the negative impact of COVID-19 on sustainability and to examine the accomplishments of process automation of wire production towards environmental and economic sustainability. The results of the research reveal a relationship between business process modelling and sustainability. Moreover, automation of processes (Industry 4.0) is found to reduce the negative effect of COVID-19 on production. A triangulation between process modelling, process automation (Industry 4.0), and sustainability was determined. Each one is reinforcing and impacting one another. The RAD model demonstrates that automation of the activities in the process reduces waste, time, cost, and redundant processes as factors of sustainability, which may also help to lessen the unfavorable effects of the pandemic. The results proved generalisation on other organisations in the same line of business

Impact Of COVID-19 Pandemic On The Pattern Of Azithromycin Prescribing; A Review

Objective: Emergence of COVID-19 infection and its persistence globally for three years in a row (2020-2022) entailed several modifications in healthcare services, among which drug prescribing was an important outcome. This review aims to highlight changing trends in azithromycin prescribing during pandemic years. Methods: PubMed database was systematically searched for combinations of the following keywords: Antibiotics; Antimicrobial resistance; Azithromycin; COVID-19. Results: A total of 12 articles were included in this review. All included studies demonstrated a notable increase in azithromycin consumption during COVID-19 pandemic in Spain, Brazil, USA, India, Croatia, and Jordan. Healthcare systems worldwide should be prepared to address anticipated outcomes of increased azithromycin use particularly possible changing trends in azithromycin resistance, and systemic side effects of the drug

Ethnopharmacological activity of Hedera nepalensis K. Koch extracts and lupeol against alloxan-induced type I diabetes

In this study, we investigated the protective effects of Hedera nepalensis crude extract, its fractions and lupeol in alloxan-induced diabetic rats. Lupeol and n-hexane (HNN) fraction significantly reduced the blood glucose level by increasing insulin level in time dependent manner, and also significantly increased amylase and lipase activity in diabetic rats. Elevated levels of alanine transaminases (ALT), aspartate transaminases (AST), thiobarbituric acid reactive substances (TBARS), nitrite, hydrogen peroxide (H2 O2 ), total bilirubin and total protein in blood serum were efficiently restored to normal levels. Suppressed enzymatic activity of catalase (CAT), superoxide dismutase (SOD), reduced glutathione (GSH) and peroxidase (POD) were also restored to their normal levels. Kidney functions were also restored to normal level after treatment with HNN and lupeol. HNN fraction and lupeol of H. nepalensis prevented oxidative stress in alloxan-induced diabetic rats. This study signifies the importance of H. nepalensis and lupeol in ameliorating diabetes by inducing insulin secretion in diabetic model rats

Development of low-overhead soft error mitigation technique for safety critical neural networks applications

Deep Neural Networks (DNNs) have been widely applied in healthcare applications. DNN-based healthcare applications are safety-critical systems that require highreliability implementation due to a high risk of human death or injury in case of malfunction. Several DNN accelerators are used to execute these DNN models, and GPUs are currently the most prominent and the dominated DNN accelerators. However, GPUs are prone to soft errors that dramatically impact the GPU behaviors; such error may corrupt data values or logic operations, which result in Silent Data Corruption (SDC). The SDC propagates from the physical level to the application level (SDC that occurs in hardware GPUs’ components) results in misclassification of objects in DNN models, leading to disastrous consequences. Food and Drug Administration (FDA) reported that 1078 of the adverse events (10.1%) were unintended errors (i.e., soft errors) encountered, including 52 injuries and two deaths. Several traditional techniques have been proposed to protect electronic devices from soft errors by replicating the DNN models. However, these techniques cause significant overheads of area, performance, and energy, making them challenging to implement in healthcare systems that have strict deadlines. To address this issue, this study developed a Selective Mitigation Technique based on the standard Triple Modular Redundancy (S-MTTM-R) to determine the model’s vulnerable parts, distinguishing Malfunction and Light-Malfunction errors. A comprehensive vulnerability analysis was performed using a SASSIFI fault injector at the CNN AlexNet and DenseNet201 models: layers, kernels, and instructions to show both models’ resilience and identify the most vulnerable portions and harden them by injecting them while implemented on NVIDIA’s GPUs. The experimental results showed that S-MTTM-R achieved a significant improvement in error masking. No-Malfunction have been improved from 54.90%, 67.85%, and 59.36% to 62.80%, 82.10%, and 80.76% in the three modes RF, IOA, and IOV, respectively for AlexNet. For DenseNet, NoMalfunction have been improved from 43.70%, 67.70%, and 54.68% to 59.90%, 84.75%, and 83.07% in the three modes RF, IOA, and IOV, respectively. Importantly, S-MTTMR decreased the percentage of errors that case misclassification (Malfunction) from 3.70% to 0.38% and 5.23% to 0.23%, for AlexNet and DenseNet, respectively. The performance analysis results showed that the S-MTTM-R achieved lower overhead compared to the well-known protection techniques: Algorithm-Based Fault Tolerance (ABFT), Double Modular Redundancy (DMR), and Triple Modular Redundancy (TMR). In light of these results, the study revealed strong evidence that the developed S-MTTMR was successfully mitigated the soft errors for the DNNs model on GPUs with lowoverheads in energy, performance, and area indicated a remarkable improvement in the healthcare domains’ model reliability

Contrast-distorted image quality assessment based on curvelet domain features

Contrast is one of the most popular forms of distortion. Recently, the existing image quality assessment algorithms (IQAs) works focusing on distorted images by compression, noise and blurring. Reduced-reference image quality metric for contrast-changed images (RIQMC) and no reference-image quality assessment (NR-IQA) for contrast-distorted images (NR-IQA-CDI) have been created for CDI. NR-IQA-CDI showed poor performance in two out of three image databases, where the pearson correlation coefficient (PLCC) were only 0.5739 and 0.7623 in TID2013 and CSIQ database, respectively. Spatial domain features are the basis of NR-IQA-CDI architecture. Therefore, in this paper, the spatial domain features are complementary with curvelet domain features, in order to take advantage of the potent properties of the curvelet in extracting information from images such as multiscale and multidirectional. The experimental outcome rely on K-fold cross validation (K ranged 2-10) and statistical test showed that the performance of NR-IQA-CDI rely on curvelet domain features (NR-IQA-CDI-CvT) significantly surpasses those which are rely on five spatial domain features

Bio-treatment of wastewater using mixed algal cultures

This study was carried out to evaluate the efficiency of mixed algal cultures for wastewater treatment. Free and alginate-immobilized forms of mixed algal culture were used. The highest removal percentages of biological oxygen demand (BOD) were 86.4% and 71.2 % after 32hrs and 48 hrs. in case of free and immobilized cells, respectively. Moreover, the highest values of chemical oxygen demand (COD) removal were 83.74% and 59.71% after 32hrs and 48 hrs for free and immobilized cells, respectively. Treatment with free cells showed removal values for total dissolved salts (TDS), phosphorus and NH3-N were 20.5%, 34.6% and 43.8% respectively after 32 hours. While in case of immobilized cells the highest removal values 18.4%, 34% and 58.5%, for TDS, Phosphorus and NH3-N, respectively were recorded after 48 hrs. Generally, concentration of heavy metals decreased due to treatment with algal free and immobilized cells. As a result of treatment with algal free and immobilized cells, 100% and 95.9% of Cu wastewater content was removed after 8 hrs and 48 hrs, respectively. Moreover, 96.2% and 98.1% of Fe was removed after 32 and 48 hours due to application of free and immobilized cells, respectively. As a result of inoculation with the mixed algal cultures in free cells 99.4% of Mn and 84.2% of Zn content were removed after 32 hours. Whereas, 98.6% of Pb content was removed after only 8 hrs. In case of using the immobilized cells the highest removal percentages of the three heavy metals recorded after 48 hours as follow 97.8% of Mn, 89.0% of Pb and 97.37% of Zn. Accordingly, treatment of wastewater with mixed algal free or immobilized cells is a fruitful method to produce an effluent of high quality to be used for irrigation. Whereas, the algal free cells were found to be more efficient than the immobilized ones

A Review of Non-Invasive Haptic Feedback stimulation Techniques for Upper Extremity Prostheses

A sense of touch is essential for amputees to reintegrate into their social and work life. The design of the next generation of the prostheses will have the ability to effectively convey the tactile information between the amputee and the artificial limbs. This work reviews non-invasive haptic feedback stimulation techniques to convey the tactile information from the prosthetic hand to the amputee’s brain. Various types of actuators that been used to stimulate the patient’s residual limb for different types of artificial prostheses in previous studies have been reviewed in terms of functionality, effectiveness, wearability and comfort. The non-invasive hybrid feedback stimulation system was found to be better in terms of the stimulus identification rate of the haptic prostheses’ users. It can be conclude that integrating hybrid haptic feedback stimulation system with the upper limb prostheses leads to improving its acceptance among users

The Relationship of Gold Price with the Stock Market: The Case of Frankfurt Stock Exchange

This paper considers the relationship between two main economic variables: Gold & Stock market in Germany that is represented by the HDAX Index under the FSE. The researchers used monthly data collected from Bloomberg database spanning from August 2004 to September 2016 (12 years) in order to use them in the selected tests in this research which are: (Descriptive statistic tests, Pearson's correlation test, Unit root test to assure data are stationary for the Johansen's Co-integration test and the Granger Causality test.)  The data were divided into three periods: pre, during and post to financial crisis in order to measure the different effect in each period. The results showed that there is a correlation between gold and stock market that differs in each period, as for the whole period of 12 years there was a moderate positive correlation, before the financial crisis there was a very strong positive correlation, during the financial crisis the correlation was positive but weak and low which means its insignificant, while at the period after the financial crisis the correlation changed in nature as it became a strong high negative correlation. The co-integration test results were all the same for all the three different periods (before, during and after financial crisis) and also for the whole 12 years period that is there is a long run relationship between gold and stock market (represented by the HDAX Index). The same thing applies on the Granger causality test, as there was no Granger causality (No Cause-effect relationship) between gold and stock market.  Keywords: Gold Price, Stock Market, Frankfurt Stock Exchange (FSE), HDAX Index, JEL Classifications: C01, C58, G01, G11 and G15

Synthesis and biological evaluation of phthalimide dithiocarbamate and dithioate derivatives as anti-proliferative and anti-angiogenic agents-I

A facile synthesis of new phthalimide dithiocarbamate and dithioate analogs 8a-j, 9a-e and 9g-j were achieved by the reaction of N-chloromethyl and N-bromoethylphthalimide with carbon disulfide (CS2) and various amines. The structures of the synthesized analogs were elucidated by spectroscopic methods, including IR, 1H NMR and 13C NMR, and ESI-HRMS techniques. The antiproliferative activity of the newly synthesized compounds was also evaluated against various human cancer cell lines. The compound 9e and 9i exhibited the highest activity against human breast adenocarcinoma MCF-7 and hepatocellular carcinoma HepG2 cells. Compound 8f showed better antiproliferative effect against colon carcinoma HCT-116 and cervical carcinoma HeLa compared to thalidomide. The binding affinity to vascular endothelial growth factor receptor (VEGFR) of some compounds was assessed in addition to molecular docking study. Compounds 9e and 9i showed high docking score values and they significantly declined the concentration of VEGFR