Particle swarm optimized extreme learning machine for feature classification in power quality data mining

This paper proposes enhanced particle swarm optimization (PSO) with craziness factor based extreme learning machine (ELM) for feature classification of single and combined power quality disturbances. In the proposed method, an S-transform technique is applied for feature extraction. PSO with craziness factor is applied to adjust the input weight and hidden biases of ELM. To test the effectiveness of the proposed approach, eight possible combinations of single and combined power quality disturbances are assumed in the sampled form and the performance of the proposed approach is investigated. In addition white gaussian noise of different signal-tonoise ratio is added to the signals and the performance of the algorithm is analysed. The results indicate that the proposed approach can be effectively applied for classification of power quality disturbances

Studies on pyrolytic conversion of waste plastic carry bags into plastic crude oil

The utilization of plastic carry bags in our modern life is increasing every year and also increasing pressure on safe disposal of these bags. Worldwide the disposal of these kinds of plastic wastes is becoming serious issue due to their non-degradable nature. The main aim of this study is to exploit the potential of waste plastic carry bags for the production of plastic crude oil by using non-electric pyrolytic unit. The heat required for pyrolysis process supplied from biomass gas stove and coconut shell used as combustible fuel. To optimize the heating conditions for higher plastic crude oil recovery, different quantities of coconut shell were utilized and the maximum recovery of plastic crude oil was recorded. The yield of crude oil ranged from 34.5 to 40.7 per cent for the reaction temperature ranged from 457 to 517 °C. For 4 kg fuel supplied as heating source, the crude oil recovered was 40.7 per cent at a reaction temperature of 486 oC and residence time of 58 min. The calorific value of the waste plastic carry bags and plastic crude oil was found to be 34.4 and 38.6 MJ/kg, respectively

Developments in Antibiotic-Eluting Scaffolds for the Treatment of Osteomyelitis

Osteomyelitis is a devastating disease caused by the infection of bone tissue and is associated with significant morbidity and mortality. It is treated with antibiotic therapy and surgical debridement. A high dose of systemic antibiotics is often required due to poor bone penetration and this is often associated with unacceptable side-effects. To overcome this, local, implantable antibiotic carriers such as polymethyl methacrylate have been developed. However, this is a non-biodegradable material that requires a second surgery to be removed. Attention has therefore shifted to new antibiotic-eluting scaffolds which can be created with a range of unique properties. The purpose of this review is to assess the level of evidence that exists for these novel local treatments. Although this field is still developing, these strategies seem promising and provide hope for the future treatment of chronic osteomyelitis

Odd Fibonacci edge irregular labeling for some trees obtained from subdivision and vertex identification operations

ليكن G  رسما بيانيا  برؤوس p وحواف q و  دالة متباينة وشاملة , حيث k عدد صحيح موجب. إذا كانت تسمية الحافة المستحثة  معرفة ب   لكل  المتباينة, فان علامة التبويب  تدعى وضع علامات غير منتظمة على حافة فيبوناتشي الفردية ل G. الرسم البياني الذي يعترف بوضع علامات غير منتظمة لحافة فيبوناتشي الفردية يسمى الرسم البياني غير المنتظم لحافة فيبوناتشي الفردية. قوة عدم انتظام حافة فيبوناتشي الفردية هي الحد الأدنى k الذي يعترف G بوضع علامات غير منتظمة لحافة فيبوناتشي الفردية. في هذا البحث ، تم تحديد قوة عدم انتظام حافة فيبوناتشي الفردية لبعض الرسوم البيانية للتقسيمات الفرعية والرسوم البيانية التي تم الحصول عليها من تحديد الرأس.Let G be a graph with p vertices and q edges and  be an injective function, where k is a positive integer. If the induced edge labeling   defined by for each is a bijection, then the labeling f is called an odd Fibonacci edge irregular labeling of G. A graph which admits an odd Fibonacci edge irregular labeling is called an odd Fibonacci edge irregular graph. The odd Fibonacci edge irregularity strength ofes(G) is the minimum k for which G admits an odd Fibonacci edge irregular labeling. In this paper, the odd Fibonacci edge irregularity strength for some subdivision graphs and graphs obtained from vertex identification is determined

Feasibility test of agricultural residues through characterization for utilization in plasma gasification

Agricultural residues were characterized to determine their feasibility as feedstock for plasma gasification. Husk, stalk, straw and shell were selected for the study and proximate analysis, elemental composition analysis, thermal value analysis were carried out using standard procedures. Producer gas generated from these bio-residues is well suited for plasma gasification process where the working temperature is between 1200-2000ºC. These substances have moisture content in the range of 5-12%, and volatile matter content of 58-70%, offering good burning characteristics and conversion to electricity. The fixed carbon content of 13 to 20% contributes significantly to its calorific value. The average calorific value of selected agricultural residues (18.27 MJ/kg) was higher than the calorific value of feedstock (12 to 16 MJ/kg) used in plasma gasification, thus reinforcing their suitability further. It was found that selected agricultural residues could be adopted and promising fuel for plasma generation and deserve further development as a sustainable and renewable alternative

Design of an electrochemical micromachining machine

Electrochemical micromachining (μECM) is a non-conventional machining process based on the phenomenon of electrolysis. μECM became an attractive area of research due to the fact that this process does not create any defective layer after machining and that there is a growing demand for better surface integrity on different micro applications including microfluidics systems, stress-free drilled holes in automotive and aerospace manufacturing with complex shapes, etc. This work presents the design of a next generation μECM machine for the automotive, aerospace, medical and metrology sectors. It has three axes of motion (X, Y, Z) and a spindle allowing the tool-electrode to rotate during machining. The linear slides for each axis use air bearings with linear DC brushless motors and 2-nm resolution encoders for ultra precise motion. The control system is based on the Power PMAC motion controller from Delta Tau. The electrolyte tank is located at the rear of the machine and allows the electrolyte to be changed quickly. This machine features two process control algorithms: fuzzy logic control and adaptive feed rate. A self-developed pulse generator has been mounted and interfaced with the machine and a wire ECM grinding device has been added. The pulse generator has the possibility to reverse the pulse polarity for on-line tool fabrication.The research reported in this paper is supported by the European Commission within the project “Minimizing Defects in Micro-Manufacturing Applications (MIDEMMA)” (FP7-2011-NMPICT- FoF-285614)

Design of a pulse power supply unit for micro-ECM

Electrochemical micro-machining (μECM) requires a particular pulse power supply unit (PSU) to be developed in order to achieve desired machining performance. This paper summarises the development of a pulse PSU meeting the requirements of μECM. The pulse power supply provides tens of nanosecond pulse duration, positive and negative bias voltages and a polarity switching functionality. It fulfils the needs for tool preparation with reversed pulsed ECM on the machine. Moreover, the PSU is equipped with an ultrafast overcurrent protection which prevents the tool electrode from being damaged in case of short circuits. The developed pulse PSU was used to fabricate micro-tools out of 170 μm WC-Co alloy shafts via micro-electrochemical turning and drill deep holes via μECM in a disk made of 18NiCr6. The electrolyte used for both processes was a mixture of sulphuric acid and NaNO3 aqueous solutions.The research reported in this paper is supported by the European Commission within the project “Minimizing Defects in Micro-Manufacturing Applications (MIDEMMA)” (FP7-2011-NMP-ICT-FoF-285614

Deciphering the Role of Filamin B Calponin-Homology Domain in Causing the Larsen Syndrome, Boomerang Dysplasia, and Atelosteogenesis Type I Spectrum Disorders via a Computational Approach.

Filamins (FLN) are a family of actin-binding proteins involved in regulating the cytoskeleton and signaling phenomenon by developing a network with F-actin and FLN-binding partners. The FLN family comprises three conserved isoforms in mammals: FLNA, FLNB, and FLNC. FLNB is a multidomain monomer protein with domains containing an actin-binding N-terminal domain (ABD 1-242), encompassing two calponin-homology domains (assigned CH1 and CH2). Primary variants in FLNB mostly occur in the domain (CH2) and surrounding the hinge-1 region. The four autosomal dominant disorders that are associated with variants are Larsen syndrome, atelosteogenesis type I (AOI), atelosteogenesis type III (AOIII), and boomerang dysplasia (BD). Despite the intense clustering of variants contributing to the LS-AO-BD disorders, the genotype-phenotype correlation is still enigmatic. In silico prediction tools and molecular dynamics simulation (MDS) approaches have offered the potential for variant classification and pathogenicity predictions. We retrieved 285 FLNB missense variants from the UniProt, ClinVar, and HGMD databases in the current study. Of these, five and 39 variants were located in the CH1 and CH2 domains, respectively. These variants were subjected to various pathogenicity and stability prediction tools, evolutionary and conservation analyses, and biophysical and physicochemical properties analyses. Molecular dynamics simulation (MDS) was performed on the three candidate variants in the CH2 domain (W148R, F161C, and L171R) that were predicted to be the most pathogenic. The MDS analysis results showed that these three variants are highly compact compared to the native protein, suggesting that they could affect the protein on the structural and functional levels. The computational approach demonstrates the differences between the FLNB mutants and the wild type in a structural and functional context. Our findings expand our knowledge on the genotype-phenotype correlation in FLNB-related LS-AO-BD disorders on the molecular level, which may pave the way for optimizing drug therapy by integrating precision medicine.This publication was supported by Qatar University Internal Grant No QUST-2-CHS-2020-12. Udhaya Kumar. S, one of the authors, gratefully acknowledges the Indian Council of Medical Research (ICMR), India, for providing him a Senior Research Fellowship [ISRM/11(93)/2019]. The authors would like to thank the Vellore Institute of Technology, India, and Qatar University, Qatar, for providing the necessary research facilities and encouragement to carry out this work