The efficient interleaving of digital-video-broadcasting-satellite 2nd generations system

The DVB-S2 system is designed as a toolbox to permit the execution of the satellite programs. Interleaver is an essential part of the DVB-S2 system. The current general block interleaver in DVB-S2 is not best, which leads to high BER and maybe not satisfy the requirements of the system. The purpose of this paper is to study the several interleaver types and comparative analyses are done between them to find which of these give better performance. Simulations results obtained prove that the 2D interleavers minimize BER more than other interleavers of DVB-S2. Further, the performance of 2D interleaver is better on a system that required a low SNR

An Automated Approach for Digital Forensic Analysis of Heterogeneous Big Data

The major challenges with big data examination and analysis are volume, complex interdependence across content, and heterogeneity. The examination and analysis phases are considered essential to a digital forensics process. However, traditional techniques for the forensic investigation use one or more forensic tools to examine and analyse each resource. In addition, when multiple resources are included in one case, there is an inability to cross-correlate findings which often leads to inefficiencies in processing and identifying evidence. Furthermore, most current forensics tools cannot cope with large volumes of data. This paper develops a novel framework for digital forensic analysis of heterogeneous big data. The framework mainly focuses upon the investigations of three core issues: data volume, heterogeneous data and the investigators cognitive load in understanding the relationships between artefacts. The proposed approach focuses upon the use of metadata to solve the data volume problem, semantic web ontologies to solve the heterogeneous data sources and artificial intelligence models to support the automated identification and correlation of artefacts to reduce the burden placed upon the investigator to understand the nature and relationship of the artefacts

Design and implement a smart system to detect intruders and firing using IOT

The security system is essential for occupants' convenience and protection from intruders and fire. Theft and fire are the most important requirement for the security system. The advancement of wireless sensor networks using IOTs increased the features in a security system and play an important role in daily life. In this paper, the proposed system is divided into two units. The first one about security which use to take snapshots by a camera whenever there is fire or intruders in the security zone and mail it to the owner every three seconds by using Arduino configured with MATLAB program. MATLAB program plays the main role to coordinate between sensors and to turn on/off the cameras. The second unit is about controlling the appliances and also the main door by using AVR microcontroller configured by CVAVR software that connected with Bluetooth sensor and controlled by a smartphone by using the implementation software built-up in the smartphone. To arrival of the control unit, the user should send code from the software implementation to the framework that use to turn on /off the devices or open/close the door. This proposed system is designed and implemented in details in this paper

The Role of Glutathione in Male Infertility

Background: Numerous research studies have attempted to determine the causes of male infertility with the objective of developing therapeutic approaches to effectively improve various semen parameters. Aim: The presented intervention is a quantitative approach that categorically assesses the therapeutic advantage of oral GSH (glutathione) administration on various semen parameters including sperm concentration, morphology, and motility in infertile males. Methods: The prospective placebo-controlled study included 101 infertile adult males through random selection between the timeframe of Jan 2017 to Mar 2018. We selected total 101 subjects who did not experience any chronic disease of the reproductive system and exhibited normal female factor. GSH oral therapy was administered between 0 to 6 months, 51 patients received GSH therapy and 50 patients received placebo in the form of glucose sachets. At the time of 0, 3 and 6 months, the blood and semen samples were taken for analyses for treatment and placebo groups. Results: The findings recorded at 0 weeks, 3 months, and 6 months interval revealed a significant p-value. At 0 week, there wasn’t any  statistical significance for the results while at 3 months, GSH value was 4.55 mg/dl for GSH group therapy in comparison for 1.55 mg/dl for placebo group which was statistically significant. Conclusion: The study findings revealed a strong positive relationship between oral GSH therapy and the selected sperm parameters

Automated Identification of Digital Evidence across Heterogeneous Data Resources

Digital forensics has become an increasingly important tool in the fight against cyber and computer-assisted crime. However, with an increasing range of technologies at people’s disposal, investigators find themselves having to process and analyse many systems with large volumes of data (e.g., PCs, laptops, tablets, and smartphones) within a single case. Unfortunately, current digital forensic tools operate in an isolated manner, investigating systems and applications individually. The heterogeneity and volume of evidence place time constraints and a significant burden on investigators. Examples of heterogeneity include applications such as messaging (e.g., iMessenger, Viber, Snapchat, and WhatsApp), web browsers (e.g., Firefox and Google Chrome), and file systems (e.g., NTFS, FAT, and HFS). Being able to analyse and investigate evidence from across devices and applications in a universal and harmonized fashion would enable investigators to query all data at once. In addition, successfully prioritizing evidence and reducing the volume of data to be analysed reduces the time taken and cognitive load on the investigator. This thesis focuses on the examination and analysis phases of the digital investigation process. It explores the feasibility of dealing with big and heterogeneous data sources in order to correlate the evidence from across these evidential sources in an automated way. Therefore, a novel approach was developed to solve the heterogeneity issues of big data using three developed algorithms. The three algorithms include the harmonising, clustering, and automated identification of evidence (AIE) algorithms. The harmonisation algorithm seeks to provide an automated framework to merge similar datasets by characterising similar metadata categories and then harmonising them in a single dataset. This algorithm overcomes heterogeneity issues and makes the examination and analysis easier by analysing and investigating the evidential artefacts across devices and applications based on the categories to query data at once. Based on the merged datasets, the clustering algorithm is used to identify the evidential files and isolate the non-related files based on their metadata. Afterwards, the AIE algorithm tries to identify the cluster holding the largest number of evidential artefacts through searching based on two methods: criminal profiling activities and some information from the criminals themselves. Then, the related clusters are identified through timeline analysis and a search of associated artefacts of the files within the first cluster. A series of experiments using real-life forensic datasets were conducted to evaluate the algorithms across five different categories of datasets (i.e., messaging, graphical files, file system, internet history, and emails), each containing data from different applications across different devices. The results of the characterisation and harmonisation process show that the algorithm can merge all fields successfully, with the exception of some binary-based data found within the messaging datasets (contained within Viber and SMS). The error occurred because of a lack of information for the characterisation process to make a useful determination. However, on further analysis, it was found that the error had a minimal impact on subsequent merged data. The results of the clustering process and AIE algorithm showed the two algorithms can collaborate and identify more than 92% of evidential files.HCED Ira

Automating the harmonisation of heterogeneous data in digital forensics

Digital forensics has become an increasingly important tool in the fight against cyber and computer-assisted crime. However, with an increasing range of technologies at people’s disposal, investigators find themselves having to process and analyse many systems (e.g. PC, laptop, tablet, Smartphone) in a single case. Unfortunately, current tools operate within an isolated manner, investigating systems and applications on an individual basis. The heterogeneity of the evidence places time constraints and additional cognitive loads upon the investigator. Examples of heterogeneity include applications such as messaging (e.g. iMessenger, Viber, Snapchat and Whatsapp), web browsers (e.g. Firefox and Chrome) and file systems (e.g. NTFS, FAT, and HFS). Being able to analyse and investigate evidence from across devices and applications based upon categories would enable investigators to query all data at once. This paper proposes a novel algorithm to the merging of datasets through a ‘characterisation and harmonisation’ process. The characterisation process analyses the nature of the metadata and the harmonisation process merges the data. A series of experiments using real-life forensic datasets are conducted to evaluate the algorithm across five different categories of datasets (i.e. messaging, graphical files, file system, Internet history, and emails), each containing data from different applications across difference devices (a total of 22 disparate datasets). The results showed that the algorithm is able to merge all fields successfully, with the exception of some binary-based data found within the messaging datasets (contained within Viber and SMS). The error occurred due to a lack of information for the characterisation process to make a useful determination. However, upon the further analysis it was found the error had a minimal impact on subsequent merged data

The Optimizing of Prefabricated Solar Cells by Dual Plasmonic Nanoparticles

Background: The quest for improving the efficiency of solar cells has garnered considerable attention in numerous scientific investigations. One promising approach involves utilizing plasmons generated by metal nanoparticles to enhance the performance of photovoltaic solar cells. Materials and Methods: High-purity gold nanoparticles (AuNPs), silver nanoparticles (AgNPs), and a combination of both were synthesized using pulsed laser ablation in distilled water. Subsequently, these nanoparticles were deposited onto silicon (Si) substrates and pre-existing Si homo-junction photovoltaic cells. Results: The optical analysis of the prepared nanoparticle suspension revealed distinct plasmonic bands located at approximately 400 nm and 523 nm wavelengths for AgNPs and AuNPs, respectively. In the case of the AuNPs:AgNPs mixture, two plasmonic bands were observed, corresponding to the presence of both types of metal nanoparticles. The X-ray diffraction (XRD) analysis of the deposited nanoparticle samples on Si wafers demonstrated a polycrystalline structure for all samples. Scanning electron microscopy (SEM) imaging displayed uniformly distributed spherical Au nanoparticles on the substrate, while AgNPs exhibited some aggregations. Conclusion: The photovoltaic (PV) solar cells demonstrated an enhanced performance, attributed to the ability of the plasmonic nanoparticles to facilitate increased light absorption or enhance surface conductivity. The combination of silver and gold particles holds promise for solar surface coating, further optimizing the cells to capture a greater amount of solar radiation within their plasmon peaks. This study highlights the potential of plasmonic nanoparticles to enhance the efficiency of previously prepared PV cells

Molecular characterization of olive cultivars grown in Iraq using amplified fragment length polymorphism and simple sequence repeat markers

In this study, genetic relationships among olive cultivars grown in Iraq were investigated by means of two DNA molecular marker classes: amplified fragment length polymorphism (AFLP) and simple sequence repeat (SSR). Total genomic DNA was isolated from young leaves of the selected olive cultivars. Namely ‘Arbqween’, ‘Baashiqi’, ‘Dahkan’, ‘Labeeb’, ‘Khdhier’, ‘Manzenllo’, ‘Nepali’, ‘Qaysi’, ‘Shami’ and ‘Sorani’. AFLP-PCR technology was performed using nine selective primer combinations, yielding 250 bands, 145 (58%) of which were polymorphic while 10 SSR primer pairs generated 85 polymorphic bands on a total of 283 fragments (30%). According to AFLP markers, the unweighted pairgroup method with an arithmetic average (UPGMA) ordered olive cultivars into two main clusters irrespective of their origin at similarity level of 0.48. Similarly, UPGMA based on 85 polymorphic SSR loci ordered the olive cultivars into two main clusters at similarity level of 0.54. The combination of AFLP and SSR markers was then performed, thus generating two groups with 50% similarity. Genetic similarity index estimated by both DNA markers used in this study proved three cultivars to be very close to each other (‘Qaysi’, ‘Baashiqi’ and ‘Dahkan’) as they always clustered together in the resulting dendrograma. The scatter diagrams of the first two (PC1 and PC2) of the Principal Component Analysis (PCA) confirmed the results obtained by the two marker classes. The results of this research confirmed AFLP and SSR to be useful tools in genetic relationships among olive cultivars, in creating a molecular database for Iraqi olive cultivars, in breeding strategies and in correct cultivar identification.Keywords: Olea europaea, genetic diversity, amplified fragment length polymorphism (AFLP), sequence repeat (SSR) markers.African Journal of Biotechnology Vol. 12(25), pp. 3914-392

Effect of intracoronary glycoprotein IIb/IIIa inhibitor and manual aspiration thrombectomy on primary percutaneous coronary intervention outcome in high thrombus burden patients

Background: The opening of a related artery in myocardial infarction as quickly as possible is the key to treating infarct. Percutaneous coronary intervention (PCI) for recanalization of related infarcted arteries is considered the most effective therapy for myocardial infarction.Objective: To estimate the intracoronary delivery of glycoprotein IIb/IIIa following manual thrombus aspiration on outcomes post PCI for patients with high thrombus burden.Patients and Methods: This was a randomized control trial that was conducted on 48 patients presented to Zagazig University Hospital Emergency Cardiac Unit with ST elevation myocardial infarction for primary percutaneous coronary intervention, the need for reperfusion therapy was assessed according the European Society of Cardiology (ESC) Guidelines for the management of acute myocardial infarction in patients presenting with ST-segment elevation. Patients were randomized into three groups: (1) Manual aspiration group (16 patients). (2) Manual aspiration with intracoronary glycoprotein IIb/IIIa group (19 patients), and (3) Intracoronary glycoprotein IIb/IIIa group (13 patients).Results: There was significant difference between manual aspiration group, manual aspiration with intracoronary glycoprotein IIb/IIIa group and intracoronary glycoprotein IIb/IIIa group as regard the outcomes in high thrombus burden patients.Conclusion: Combination glycoprotein IIb/IIIa and manual aspiration is better then single modality for high thrombus burden patients

Ejaculation Preserving Technique in TURP Is it safe?

Background: The treatment of bladder outlet obstruction in patients diagnosed with benign prostatic hyperplasia using the transurethral resection of the prostate procedure often presents with retrograde ejaculation as a complication due to bladder neck stenosis. Objective:To determine the safety and ease of use of the ejaculation preservation technique of the transurethral resection of the prostate procedure. Patients and Methods: The study was done in Samarra city in Iraq, included 30 patients between the ages of 50 and 62 years. The resection of the prostate was done a centimeter above the verumontanum in order to preserve the paraculcular tissue. The patients were assessed for the degree of ejaculate using the Ejaculation Projection Score. The patients were also evaluated for erectile function using the International Index of Erectile Function and for urinary retention using the International Prostate Symptom Score. The assessments were done preoperative, 4 months and 36 months after the ejaculation-preserving transurethral resection of the prostate procedure. Results: The maximum flow rate increased from 5.4ml/s to 21±5.2ml/s (n=29, p-value<0.001). IPSS improve from 24 to 5±2.5 (n=29, p-value<0.001). The quality of life score improved from 5.7 to 1.4±1.0 (n=29, p-value<0.001). The residual urine volume reduced from 150ml to 23± 14 (n=29, p-value<0.001). The erectile function reduced from 4 to 3.7 while the EPS reduced from 3.5±0.5 to 3.3+-0.5 (p-value=0.57). 96.7% of the patients ejaculated postoperatively. Statistical analysis was done with SPSS version 15 for windows, P value and T test for significance of results being P value < 0.05. Conclusion: There is evidence to show that the ejaculation preserving technique of the transurethral resection of the prostate is safe and secure to use. It protects anterograde ejaculation while reducing urine retention