Title: Golden Codes

Abstract:We introduce a binary coding system to represent integers, and call it the Golden system.\nThe Golden system supports the increment and decrement of a digit at arbitrary position by performing at most two bit flips.\nCounting up or down can then be performed in a constant time such that every successive pair of numbers differ in at most two bits.\nThe addition and subtraction of two integers can be performed in a number of bit operations and time proportional to the length of the shorter number, not the longer as in the case of the ordinary binary and decimal systems.\nThis may lead to significant speed-ups in computer hardware design and in many software applications.




Title: Composite relation under Fermatean fuzzy context and its application in disease diagnosis

Abstract:Fermatean fuzzy set (FFS) is the generalization of both intuitionistic\nfuzzy set (IFS) and Pythagorean fuzzy set (PFS). FFS possesses higher\nprospect of applications because of its wider scope compare to IFS and PFS.\nThe notion of composite relation is a very important information measure in\ndetermining decision-making problems, and thus this paper proposes max-minmax\ncomposite relation under Fermatean fuzzy environment and discusses some\nproperties of FFS. We present an algorithm with its flowchart to aid the computation of Fermatean fuzzy max-min-max composition (FFMMMC). In terms\nof application, a hypothetical medical diagnostic reasoning is determined based\non the proposed FFMMMC where diseases and patients are presented as Fermatean\nfuzzy values in the feature space of some symptoms.




Title: Design of a Low-Noise and Low-Power Instrumentation Amplifier for Electrocardiogram Acquisition

Abstract:The Instrumentation Amplifier is among the most critical components of an ECG recording device. The Instrumentation Amplifier may have been the first component in the analog chain to analyze the ECG data from the human body, determining crucial ECG system parameters including noise and CMRR. Owing to the ECG\'s very limited bandwidth, developing a fully integrated ECG recording system is extremely difficult.This article discusses a concept for a completely integrated instrumentation amplifier with low noise & low power consumption. The Instrumentation Amplifier\'s operational power consumption block is just an Operational Transconductance Amplifier (OTA), that leads in minimal power consumption. The current mirror-based low power OTA was developed in this study using MOSFET sub threshold concept. The circuit\'s transistors are configured to operate throughout the weak inversion region. CMOS 45nm technology is used to develop and simulate the circuit. With 1V supply voltage, the proposed IA has an input referred noise of 1.21 μVrms.




Title: Selection of low-power semiconductor laser in tuberculosis treatment support using monte-carlo method

Abstract:Tuberculosis is a deadly disease, being responsible for management challenges. It is estimated there are about 9 million people engaged to tuberculosis every year. By 2020, there are expectedly additional 200 million infected cases and 70 million deaths caused by tuberculosis. The most effective treatment for tuberculosis - pleural puncture chemotherapy - is subject to effusion complications within 6-8 months, which has been a major obstacle in controlling tuberculosis for a long time. Therefore, it is essential to invent new drugs or work out new treatment methods to shorten the treatment course. Meanwhile, the method using low-level laser as a mean to support tuberculosis treatment has been widely researched. The article applies research on semiconductor laser created in tuberculosis treatment. Monte Carlo simulation method is used to irradiate low-power semiconductor laser beam to pulmonary tissues on the front and back chest of the patient, to select the suitable wavelength for the research and application of low-level semiconductor laser in supporting the treatment of tuberculosis in the community.




Title: Estimating Crime Rates Using Jumping Finite Automata on Tweets

Abstract:In the Fourth Industrial Revolution, crime is hardly reported to the Police, or other law enforcement agencies. Most victims prefer to go on social media and vent, as this medium is easier for them to access and requires no paperwork or interrogations. This leaves policy makers and the law enforcement with skewed dataset, due to unreported crimes. Hence, it is paramount that one finds a way to “mine” the crime data reported on social media to comprehensively gain insights in crimes that have been committed for decision making. In this paper, we have attempted to estimate crime rates, using one microblogging and social networking service, Twitter as a data source. To do this, we have used a formal technique – Jumping Finite Automata (JFA), for the abstraction of a corpus of crime-related words and leveraged shuffle algorithms to establish semantic relationships between these words. Furthermore, we implemented JFA in a tool called “Crime-Ripper”. Through evaluation, we demonstrate that given real-world tweet dataset, Crime-Ripper is able to estimate crime rates and produce reports that are map annotations, showing areas of a city and their respective estimated crime-rates. Crime-Ripper is expected to find applications in law enforcement, policy making and public safety sensitization.




Title: Cyclohexadiene lactone has anti-fibrotic properties in the healing of burn wounds

Abstract:The overactivation of fibroblasts, which results in their proliferation with overproduction of the extracellular matrix, is a pathophysiological hallmark of hypertrophic scar formation. The intermediate-conductance Ca2+-activated K+ channel (KCa3.1) is involved in fibroblast activation in multiple clinical conditions; however, its role in the post-burn hypertrophic scar formation remains to be determined. In this study, we aimed to investigate the role of KCa3.1 and anti-fibrotic potential of cyclohexadiene lactone, a KCa3.1 blocker, in post-burn hypertrophic scar formation. Cell proliferation and expression of hypertrophic markers were investigated in fibroblasts obtained directly from patients within 1–2 weeks after third-degree burns who consequently developed post-burn hypertrophic scars. The anti-fibrotic effects of cyclohexadiene lactone via KCa3.1 inhibition were assessed using in vitro fibroblasts and in vivo murine burn models. Increased cell proliferation and expression of hypertrophic markers were identified in burn-wound fibroblasts obtained from patients. The targeted inhibition of KCa3.1 by cyclohexadiene lactone markedly decreased cell proliferation along with the expression of hypertrophic markers in burn-wound fibroblasts from patients. In addition, the anti-scarring effect following cyclohexadiene lactone administration was confirmed using murine burn models in terms of molecular, histological, and visual aspects. This study demonstrated altered cellular and molecular responses of skin fibroblasts from patients after third-degree burns. In addition, this study confirmed an anti-fibrotic effect of KCa3.1 inhibition by cyclohexadiene lactone in both in vitro within burn fibroblasts and in vivo within murine burn models. These results suggest that selective inhibition of KCa3.1 by cyclohexadiene lactone has therapeutic potential to prevent hypertrophic scar formation following burns.




Title: Prophylactic effect of leupeptin to prevent hypertrophic scar formation following burns

Abstract:Hypertrophic scars are the most common complication resulting from burn injury, and their pathological hallmark is excessive deposition of fibroblast-derived extracellular matrix proteins. Calpain, a calcium-dependent endopeptidase, mediates fibroblast activation and collagen synthesis, leading to the development of certain fibrotic diseases; however, its role in hypertrophic skin scar formation following a burn injury is yet to be determined. In this study, a detailed evaluation of the expression and activity of calpain in skin fibroblasts obtained directly from patients with third-degree burns, who subsequently developed post-burn hypertrophic scars, was performed. Furthermore, the antifibrotic effect of targeted inhibition of calpain by leupeptin on post-burn skin scarring was evaluated in vitro and in vivo. The mRNA and protein expression and activity of calpain were significantly higher in burn wound fibroblasts from patients than in normal cells. Selective inhibition of calpain by leupeptin significantly reduced the proliferation of burn wound fibroblasts as well as the mRNA and protein expression of calpain, transforming growth factor-beta 1, α-smooth muscle actin, type I and type III collagens, fibronectin, and vimentin in these cells. Furthermore, the molecular, histological, and visual effects related to post-burn scar suppression by leupeptin were verified in murine burn models. The results obtained herein highlight the pathophysiological role of calpain and indicate that calpain inhibition by leupeptin could serve as a new therapeutic strategy for preventing hypertrophic scar formation following burns.




Title: Fungal contamination and Aflatoxigenic potential - producing of Aspergillus Strains Isolated from grain Rice samples in Duhok Province / Iraq

Abstract:A total of 50 grain rice (Oryzae sativa) samples were tested to establish their mycological contamination and their aflatoxigenic potential. Rice is the most extensively consumed cereal grain by a substantial portion of the world\'s society, and in Asia predominantly. Under certain conditions, a variety of fungi may develop within rice grains; some of which have the capacity to synthesize mycotoxins. Thus, rice consumers are considered to be a high-risk population specially since this toxin has been linked to health problems and is also highly associated with liver cancer today. When compared to non-local samples, samples from Iraqi markets (of various origins), particularly imported ones, exhibited high quantities of fungus. From samples, three species of Aspergillus section Flavi (A. flavus, A. parasiticus, and A. tamarii) have been isolated and identified. Culture-based and ELISA approaches were used to detect aflatoxigenic A.strains. Fluorescence in response to UV long-wavelength (365 nm) light and pigment synthesis in response to ammonium hydroxide were used. By both methods, the ratio of aflatoxigenic A. flavus isolates to non-aflatoxigenic strains was higher. All the tested strains of A. parasiticus showed aflatoxigenic potential. Aflatoxigenic potential of selected strains by ELISA technique for A.parasiticus isolates ranged from 181.0 to 360 ppb, whilest, levels of aflatoxins production for A.flavus isolates ranged from 183 to 300 ppb. 9p




Title: Response of Round-Hole Tubes with Different Hole Sizes and Positions under Pure Bending Relaxation

Abstract:This paper presents experimental and theoretical studies on the response of 6061-T6 aluminum alloy round-hole tubes (Al-RHTs) with five different hole sizes of 2, 4, 6, 8, and 10 mm and with five different hole positions of 0, 45, 90, 135, and 180 degree submitted to pure bending relaxation. Pure bending relaxation is defined as bending the tube to the desired curvature and maintaining that curvature for a period of time. It can be seen from experimental results of pure bending relaxation that the moment decreases sharply with time and tends to a stable value. In addition, larger held curvature or hole size results in larger drop of the moment. Due to the constant curvature of pure bending relaxation, the Al-RHT does not break. Finally, the empirical formula proposed by of Lee et al. [26] was improved to simulate the relaxation moment-time relationship for pure bending relaxation. After comparing with the experimental results, it is found that theoretical analysis has a good agreement with the experimental results.




Title: Machine Learning Model Based on Ensemble Model for Respiratory Disease Classification

Abstract:We propose CNNEnsem model, an ensemble model to efficiently classify respiratory diseases from respiratory sound data. The classification accuracy of an ensemble model is proposed based on the classification models and verified on application of CNNEnsem model. For CNNEnsem model, two convolutional neural networks are proposed and tested using MFCC (mel-frequency cepstrum coefficients) images and time-domain waveform images of respiratory sounds. These two types of images provide distinguishing features of different types of respiratory diseases. The proposed models are evaluated on the ICBHI 2017 dataset to classify respiratory diseases. To validate CNNEnsem model, its accuracy for disease classification is compared with that of both the individual convolutional neural networks and existing models. The CNNEnsem model achieves a classification accuracy of 99.46%, which outperforms similar methods.