bluuebunny/crossref_metadata_2025 huggingface dataset:
Revisión de las existencias de minerales y metales en el mundo para planificar el consumo industrial después de la pandemia de la COVID-19
Authors:   Universidad Católica de Honduras, Alvarado Martínez Mario Roberto , Sosa González Mario Francisco ,   Universidad Metropolitana de Honduras, Duron Esquivel Gabriel Enrique ,   Universidad Nacional Autónoma de Honduras
Published: June 2021

La investigación tiene como propósito revisar y describir la cantidad de existencias estimadas de metales y la producción de metales en el mundo, para planificar compras para el uso industrial, en la fabricación de maquinaria, equipo y tecnología, en las firmas locales. La metodología de investigación fue descriptiva y se explica lo siguiente: el país con más capital social invertido es: la República de Corea; Estados Unidos tiene la mayor cantidad de empresas mineras, Australia dispone de las máximas estimaciones de existencias minerales y reporta la mayor producción de metales en millones de dólares, el principal productor de metales como hierro, acero, exportación de equipo de comunicación y tecnologías de información es la República Popular de China, el Reino Unido es el principal productor de equipo de comunicación, el metal de mayor existencia en toneladas métricas es el níquel, Singapur es el principal exportador de circuitos integrados, Alemania el mejor fabricante de equipo de transporte. La investigación concluye que los países que disponen de mayores existencias de minerales, no son los principales inversores, ni los principales fabricantes de metales, maquinaria y tecnología en la actualidad, pero se logró identificar donde están las mayores existencias estimadas de minerales para planificar compras de materias primas si se desea iniciar un proceso de transformación industrial.
Diastemas interincisales en dentición permanente
Authors: AQUINO SÁNCHEZ BRENDA IVONNE , CACHI RODRÍGUEZ EBEL MAYLÍEN , JÁUREGUI BECERRA DARCY OLMARA , VILLEGAS VILLEGAS GHILMARK ORLANDO , VALENZUELA RAMOS MARISEL ROXANA
Published: June 2021

En el área de la estomatología, los diastemas dentales se pueden definir de manera general como el espacio existente entre dos piezas dentales adyacentes. Pueden estar presentes, tanto en el maxilar como también en la arcada mandibular, sin embargo, los podremos observar con mayor frecuencia en los dientes incisivos superiores. Cuando los niños presentan dentición temporal, es normal encontrar diastemas entre los dientes de ambas arcadas, debido a que tan solo presentan 20 piezas dentales. Aproximadamente a los seis años, los niños comienzan a pasar a un período de recambio dental, llamado dentición mixta. En esta etapa, la erupción de dos premolares en cada arcada genera la reducción de espacio entre los dientes.
ESTRATÉGIAS TECNOLÓGICAS PARA REDUÇÃO DE AÇÚCAR EM GELEIAS: UMA ANÁLISE BIBLIOMÉTRICA
Authors: Pessutto Isadora , Colla Luciane
Published: June 2021

A geleia encontrada no varejo é um produto produzido a base de frutas e, normalmente, com elevada concentração de açúcar. O consumo diário de carboidratos é necessário, porém ingeri-los em elevadas concentrações não é recomendado, devido ao risco de desenvolvimento de doenças crônicas não transmissíveis ocasionadas pela má alimentação. O açúcar na geleia, além de proporcionar o gosto doce, promove textura e auxilia na conservação. A partir disso, e a crescente preocupação por parte de consumidores com uma alimentação saudável, faz-se necessário estudos nos quais há a remoção parcial e/ou total de açúcares. Desta forma, objetivou-se buscar alternativas que reduzam açúcar em geleias, sem afetar as suas características sensoriais, através de uma revisão bibliométrica. Com o levantamento dos artigos avaliados, foi possível verificar algumas das alternativas mais comumente utilizadas e as quantidades empregadas de cada agente. Assim, os aditivos inseridos no desenvolvimento das geleias reduzidas de açúcar desta pesquisa foram as gomas, pectina de baixo teor de metoxilação e edulcorantes alternativos.
Resource Assessment of Tidal Stream Power in Pakiputan Strait, Davao Gulf, Philippines
Authors: Palconit E. V. , Villanueva J . R. , Enano N. J. , Buhali M. J. , Mascariñas A. C. , Galope G. E. , Tabanguil J. M.
Published: June 2021

During the last years, there are ongoing efforts on the development of tidal energy conversion systems in the Philippines. This study conducts tidal energy resource assessment in the Pakiputan Strait following a methodology outlined as stage 2a tidal resource assessment published by the European Marine Energy Centre (EMEC). The study assessed the preliminary results of the tidal velocities at Pakiputan Strait with a mean spring peak velocity (Vmsp) of 1.7m/s at 3m from the water surface from 15 days of continuous data collection using a seabed-mounted acoustic Doppler current profiler. This corresponded to an estimated Annual Energy Production (AEP) of 1350kWh/y for 1m2 of capture area of the generic device. Sensitivity analysis showed that the spatial distribution of hydrodynamic model results does not vary significantly with variations in certain input parameters. It further showed that a 10% decrease in the nominal value of Vmsp on-site led to a 15% decrease in the nominal value of AEP, while a 10% increase in the nominal value of Vmsp led to a 30% increase in the nominal value of AEP, assuming that the considered Vmsp still corresponded to the velocity distribution from observations. A static survey and the use of computational fluid dynamics modeling are recommended to further enhance the analysis of the study.
Assessing the Risk Level of the Challenges Faced In Construction Projects
Authors: Alameri A. , Alhammadi A. S. A. M. , Memon A. H. , Rahman I. A. , Nasaruddin N. A. N.
Published: June 2021

The failure of construction projects could be attributed to several challenges that emerged during the construction process. Nine major challenges were uncovered from the literature: resource allocation, time, cost, quality, safety, project complexity, changes, uncertainties, and communication. A survey was carried out among professionals having a minimum of 10 years of experience in the construction industry to identify the occurrence and severity of these challenges. A total of 117 responses were analyzed and plotted on a risk matrix. The mean values indicated that time, cost, and quality are the top three challenges faced in construction projects, while the risk matrix revealed that all challenges are high-risk challenges. Thus, the professionals should consider suitable measures to address these challenges for improving a project’s performance.
The Proposition of an EI Equation of Square and L–Shaped Slender Reinforced Concrete Columns under Combined Loading
Authors: Hamzaoui L. , Bouzid T.
Published: June 2021

The stability and strength of slender Reinforced Concrete (RC) columns depend directly on the flexural stiffness EI, which is a major parameter in strain calculations including those with bending and axial load. Due to the non-linearity of the stress-strain curve of concrete, the effective bending stiffness EI always remains variable. Numerical simulations were performed for square and L-shaped reinforced concrete sections of slender columns subjected to an eccentric axial force to estimate the variation of El resulting from the actual behavior of the column, based on the moment-curvature relationship. Seventy thousand (70000) hypothetical slender columns, each with a different combination of variables, were used to investigate the main variables that affect the EI of RC slender columns. Using linear regression analysis, a new simple and linear expression of EI was developed. Slenderness, axial load level, and concrete strength have been identified as the most important factors affecting effective stiffness. Finally, the comparison between the results of the new equation and the methods proposed by ACI-318 and Euro Code-2 was carried out in connection with the experimental results of the literature. A good agreement of the results was found.
Corruption Risk Analysis at the Project Planning Stage in the Iraqi Construction Sector using the Bowtie Methodology
Authors: Alani S. H. N. , Mahjoob A. M. R.
Published: June 2021

In this paper, the bowtie method was utilized by a multidisciplinary team in the Federal Board of Supreme Audit (FBSA)for the purpose of managing corruption risks threatening the Iraqi construction sector. Corruption in Iraq is a widespread phenomenon that threatens to degrade society and halt the wheel of economic development, so it must be reduced through appropriate strategies. A total of eleven corruption risks have been identified by the involved parties in corruption and were analyzed by using probability and impact matrix and their priority has been ranked. Bowtie analysis was conducted on four factors with high score risk in causing corruption in the planning stage. The number and effectiveness of the existing proactive measures to prevent threats from resulting in corruption and were examined for each threat.
Recommendations for the Implementation of ISO 9001:2015 in the Manufacturing Industry of Pakistan
Authors: Khan Z. , Yusof Y. B. , Abass N. H. B. , Ahmed M. B. I. , Jamali Q. B.
Published: June 2021

ISO 9001:2015 is known as the highest quality management standard, enhancing customer and company satisfaction. While the manufacturing industry is playing a vital role in Pakistan’s GDP, the implementation of ISO 9001:2015 is not widespread. This study aims to examine the factors that hinder the implementation of ISO 9001:2015 in Pakistan’s manufacturing industry and recommend suggestions to overcome them. An in-depth literature review identified 32 general factors that hinder the implementation of ISO 9001:2015. A structured questionnaire was designed and distributed to 135 respondents to examine the factors hindering the implementation of ISO 9001:2015 in Pakistan’s manufacturing industry. The gathered data were analyzed using the average index formula, and 8 significant factors were identified. These factors were used in the design of a semi-structured questionnaire distributed among high qualified and experienced respondents working in top managerial posts of manufacturing industries in Pakistan. The collected data were analyzed using content analysis. The findings can be helpful in the determination of recommendations regarding the implementation of ISO 9001:2015 in the manufacturing industries of Pakistan.
Investigating the Quality of Milk using Spectrometry Technique and Scattering Theory
Authors: Kamil Ν. Α. Ι. Μ. , Nor’aini Z. S. , Wan Ismail W. Z. , Balakrishnan S. R. , Jamaludin J. , Ismail I. , Sahrim M.
Published: June 2021

Milk is a dairy product that contains dissolved proteins, carbohydrates, fat, and many minerals. Milk enhances body growth and provides vital energy and fatty acids. Milk can turn bad after being kept at room temperature for several days. The endurance of milk could depend on its fat and protein composition. Our work aims to compare the quality of milk after being kept at room temperature for several days using spectroscopy methods. Modeling based on scattering theory is also provided to compare the light propagation in milk, water, and air. A VIS-NIR spectrometer was used to observe the light absorption, transmission, and reflectance whereas a modeling approach was applied to study the scattering, absorption, and extinction efficiencies. The milk samples consist of full cream milk kept at room temperature for 8 days, 11 days, 14 days, and 17 days. The results show that milk without fermentation has higher light absorbance and lower transmission compared to milk with fermentation, due to changes in milk composition after the fermentation process. Milk scatters more light compared to water and air due to its fat globule and protein ingredients. The output of this study can be used as a reference for studies involving bacteria or microorganisms in milk. It also can be used to compare the quality of milk with and without air exposure.
Manufacturing of Wear Resistant Iron-Steel: A Theoretical and Experimental Research on Wear Behavior
Authors: Bildik O. , Yaşar M.
Published: June 2021

In this study, four different alloys of steel blocks with a thickness of 15mm were manufactured in order to develop an alternative to steel plates used in wear exposed areas of construction machines, trucks, and asphalt production plants. To further increase the wear resistance of the manufactured steel blocks, their thickness was reduced to 10mm by the hot-rolling method. Wear specimens were obtained from rolled blocks. These specimens were abraded at 20N, 40N, and 60N loads in reciprocating linear motion module ASTM G-33 standards to determine their wear resistance. SEM and EDX analyses were also conducted to see modifications on the worn surfaces. In addition, a theoretical model of wear behaviors was created, calculations were made with Archard wear equation and ANSYS software, and the theoretical and experimental results were compared
The Usability Testing of SSAAT, a Bioinformatic Web Application for DNA Analysis at a Nucleotide Level
Authors: Mero V. , Machuve D.
Published: June 2021

Sanger sequencing remains the cornerstone method for Deoxyribonucleic Acid (DNA) sequencing due to its high accuracy in targeting smaller genomic regions in a larger number of samples. The analysis of Sanger sequence DNA data requires powerful and intelligent software tools. Most of the preferred tools are proprietary licensed tools that offer a user-friendly interface and have many features, however, their affordability, especially to individual scientists or students, is limited. On the other hand, a few free and open-source licensed tools are available but have limited features. This study focuses on the usability testing of the developed Sanger Sequence Automatic Analysis Tool (SSAAT), a free and open-source web tool for Sanger sequence analysis. Usability tests were conducted with potential users and the results demonstrate that the participants were able to use the tool easily and accomplish the test tasks at the given time. Moreover, the participants were excited with the easy-to-use interface and agreed that most users could use the tool with no need for technical assistance. However, the participants also identified some issues that require more development effort.
Classification of Dementia in EEG with a Two-Layered Feed Forward Artificial Neural Network
Authors: Anuradha G. , Jamal D. N.
Published: June 2021

Dementia has become a global public health issue. The current study is focused on diagnosing dementia with Electro Encephalography (EEG). The detection of the advancement of the disease is carried out by detecting the abnormal behavior in EEG measurements. Assessment and evaluation of EEG abnormalities is conducted for all the subjects in order to detect dementia. EEG feature analysis, namely dominant frequency, dominant frequency variability, and frequency prevalence, is done for abnormal and normal subjects and the results are compared. For dementia with Lewy bodies, in 85% of the epochs, the dominant frequency is present in the delta range whereas for normal subjects it lies in the alpha range. The dominant frequency variability in 75% of the epochs is above 4Hz for dementia with Lewy bodies, and in normal subjects at 72% of the epochs, the dominant frequency variability is less than 2Hz. It is observed that these features are sufficient to diagnose dementia with Lewy bodies. The classification of Lewy body dementia is done by using a feed-forward artificial neural network wich proved to have a 94.4% classification accuracy. The classification with the proposed feed-forward neural network has better accuracy, sensitivity, and specificity than the already known methods.
Recurrent Neural Network-based Path Planning for an Excavator Arm under Varying Environment
Authors: Vu N. T. T. , Tran N. P. , Nguyen N. H.
Published: June 2021

This paper proposes an algorithm to generate the reference trajectory based on recurrent neural networks for an excavator arm working in a dynamic environment. Firstly, the dynamic of the plant which includes the tracking controller, the arm, and the pile is appropriated by a recurrent neural network. Next, the recurrent neural network combined with a Model Reference Adaptive Controller (MRAC) is used to calculate the reference trajectory for the system. In this paper, the generated trajectory is changed depending on the variation of the pile to maximize the dug weight. This algorithm is simple but effective because it only needs information about the weight at each duty cycle of the excavator. The efficiency of the overall system is verified through simulations. The results show that the proposed scheme gives a good performance, i.e. the dug weight always remains at the desired value (nominal load) as the pile changes its shape during working time.
The Development of an Ethernet-based Portable Embedded Isolated ECG System
Authors: AlMejrad A. S.
Published: June 2021

Patient monitoring is an important issue in the medical field, requiring planning, effort, and time. One of the challenges that physicians, nurses, paramedics, and emergency medical technicians face is the shortage of specialized medical equipment and staff with the ability to measure, display, store, and transmit the vital signs of patients for remote diagnosis under critical conditions. Therefore, and based on our evaluation for such needs, our main research objective was to develop a new system to enable these professionals to perform such monitoring functions with a higher level of safety, performance, and time effectiveness with reduced cost. An advanced, integrated, effortless, and portable system was developed, which is capable to measure, monitor, display, store, and transmit data related to the Electrocardiography (ECG) signal along with its derivatives, such as the heart rate using a hybrid system that combines hardware and software.
A New Model for Enhancing Student Portal Usage in Saudi Arabia Universities
Authors: Alatawi S. S. T. , Miskon S. , Abdullah N. S. , Ghabban F. , Saeed F. , Alfadli I. , Ameerbakhsh O.
Published: June 2021

Portals are gateways that provide users with the information they need from different sources and display it on a single page. It is important to see that universities utilize the resources and services provided by their student portals. With the rapid development of Information and Communication Technology (ICT), the Ministry of Education in Saudi Arabia aims to develop and improve student portals by providing high-quality teaching services through the university portal systems. This paper discusses the importance of student portal usage in Saudi Arabian universities and investigates the factors that influence the utilization of student portals as perceived by the students of the Saudi universities. Based on these factors, a model is proposed which identifies students’ expectations about the Saudi university portals. A quantitative methodology was employed to develop the model. The results revealed that 8 out of 10 factors of the model are significant and positively affect student portal usage. The enhancement of student portals based on the identified significant factors will assist the universities to increase their utilization and their provided services.
A Holistic Approach to Urdu Language Word Recognition using Deep Neural Networks
Authors: Khan H. R. , Hasan M. A. , Kazmi M. , Fayyaz N. , Khalid H. , Qazi S. A.
Published: June 2021

Urdu is one of the most popular languages in the world. It is a Persianized standard register of the Hindi language with considerable and valuable literature. While digital libraries are constantly replacing conventional libraries, a vast amount of Urdu literature is still handwritten. Digitizing this handwritten literature is essential to preserve it and make it more accessible. Nevertheless, the scarcity of Urdu Optical Character Recognition (OCR) research limits a digital library's scope to a manual document search. The limited research work in this area is mainly due to the complexity of Urdu Script. Unlike the English language, the Urdu writing style is cursive, bidirectional, and character shapes and sizes highly vary depending on their position. Holistic word recognition is found to be a better solution among many other text segmentation techniques as it takes the complete word into account instead of segmenting it explicitly or implicitly. For this project, the data of five different Urdu words were collected for training and testing a convolutional neural network and 96% recognition accuracy was achieved.
LVRT Enhancement of a Grid-tied PMSG-based Wind Farm using Static VAR Compensator
Authors: Dayo S. A. , Memon S. H. , Uqaili M. A. , Memon Z. A.
Published: June 2021

This paper presents an efficient Low Voltage Ride Through (LVRT) control scheme for a 10.0MW grid-tied Permanent Magnet Synchronous Generator (PMSG)-based wind farm. The proposed control strategy plans to enhance the power quality and amount of injected power to satisfy the grid code requirements. The proposed approach utilizes a static Shunt Var Compensator (SVC) to enhance the LVRT capability and to improve power quality. It has been observed from the outcomes of the study that the proposed SVC controller ensures safe and reliable operation of the considered PMSG-based power system. The proposed system not only improves power quality but also it provides voltage stability of the Wind Energy Conversion System (WECS) under abnormal/fault conditions. The results show the superiority of the proposed control strategy.
Preparation of Polypropylene/Bentonite Composites of Enhanced Thermal and Mechanical Properties using L-leucine and Stearic Acid as Coupling Agents
Authors: Mohammedi N. , Zoukrami F. , Haddaoui N.
Published: June 2021

The compatibilization of raw bentonite (bent) with a polymer matrix of polypropylene (PP) can improve the performance of the material in terms of thermal and mechanical properties. In this study, two kinds of untreated bentonite, bentonite-Maghnia (bent-m) and bentonite-Mostaganem (bent-M), that differ in the proportion of Al2O3 and in the particle size distribution were coupled to typical maleic anhydride grafted polypropylene PP-MA. Stearic Acid (SA) and L-leucine Amino Acid (AA) were selected as new coupling modifiers at a 5/5 ratio of bentonite/coupling agent. All PP/bent composites were prepared by melt mixing at 190°C. Morphological observation revealed a good dispersion of bentonite into the PP matrix in the presence of AA, SA, and PP-MA. Mechanical properties showed an increase in stiffness as bent-m or bent-M were associated with AA. For instance, PP/bent-m/AA composite underwent an improvement of about 13% in Young’s modulus as compared to neat PP. On the other hand, the addition of SA into bent-m maintained stiffness and tensile strength at an acceptable level. An increase of around 40°C and 37% in the decomposition temperature and elongation at break was respectively observed for the PP/bent-m/SA composite. All coupled composites showed high degradation temperatures.
Evolutionary Algorithm-based Feature Selection for an Intrusion Detection System
Authors: Singh D. K. , Shrivastava M.
Published: June 2021

Keeping computer reliability to confirm reliable, secure, and truthful correspondence of data between different enterprises is a major security issue. Ensuring information correspondence over the web or computer grids is always under threat of hackers or intruders. Many techniques have been utilized in intrusion detections, but all have flaws. In this paper, a new hybrid technique is proposed, which combines the Ensemble of Feature Selection (EFS) algorithm and Teaching Learning-Based Optimization (TLBO) techniques. In the proposed, EFS-TLBO method, the EFS strategy is applied to rank the features for choosing the ideal best subset of applicable information, and the TLBO is utilized to identify the most important features from the produced datasets. The TLBO algorithm uses the Extreme Learning Machine (ELM) to choose the most effective attributes and to enhance classification accuracy. The performance of the recommended technique is evaluated in a benchmark dataset. The experimental outcomes depict that the proposed model has high predictive accuracy, detection rate, false-positive rate, and requires less significant attributes than other techniques known from the literature.
Facile Coating of HAP on Ti6Al4V for Osseointegration
Authors: Asrar S. , Tufail M. , Chandio A. D.
Published: June 2021

Ti6Al4V alloy is a material with great strength, low-slung modulus, inferior density, and a virtuous blend of mechanical and exceptional corrosion resistance. However, it does not offer good osseointegration and bone development properties. Conversely, hydroxyapatite (HAP) is highly bioactive in nature to bind with the nearby bone tissues when implanted in the host body. In this work, we have extracted HAP from bovine bones by using the thermal decomposition method. This was followed by its deposition onto the Ti6Al4V alloy using the Electrophoretic Deposition (EPD) technique. TiO2 is used as a bond coat layer to increase the adhesion between HAP and Ti6Al4V alloy substrates. The coated samples after sintering exhibited excellent adhesion. This was followed by characterization using Scanning Electron Microscopy (SEM) and Fourier Transformed Infrared Spectroscopy (FTIR). FTIR and SEM confirm the formation of HAP and its presence after the immersion in SBF. Vicker hardness tester confirms the increase in hardness value of coated samples up to 35%. Potentiostat tests were conducted to compare the corrosion rate of both samples. In addition, the particle sizes were also identified by a laser particle analyzer, whereas X-Ray Diffraction (XRD) technique was also used to determine the crystalline phases of alloy and HAP.
Influence of Starch Content on the Thermal and Viscoelastic Properties of Syndiotactic Polypropylene/Starch Composites
Authors: Ahmad N. , Ahmad F. , Alenezi I.
Published: June 2021

In this study, syndiotactic Polypropylene/Starch (sPP/starch) composites were prepared using a solution mixing technique. The thermal characterization was performed using Differential Scanning Calorimetry (DSC), and the melting point was measured for all polymer composites. The thermal degradation temperature was measured using thermal gravimetric analysis. The viscoelastic measurements were performed using the Atomic Rheometric Expansion System (ARES). Both melting point and thermal degradation temperatures were found to decrease with increasing starch content. Moreover, the elastic modulus was found to decrease when the starch content increased.
Convective Heat Transfer During Melting in a Solar LHTES
Authors: Mecieb F. Z. , García Bermejo F. , Solano Fernández J. P. , Laouedj S.
Published: June 2021

Melting combined with natural convection in a shell and Latent Thermal Energy Storage (LHTES) tube driven by a solar collector was analyzed numerically in the present work. This work's particularity lies in the fact that the HTF temperature varies at each moment following the solar irradiance curve. A program (UDF) has been developed and integrated into Ansys to meet this requirement. The use of this coupling strategy allows obtaining realistic unsteady LHTES results. Several numerical investigations were carried out to analyze the effect of the heat sources' power on the accumulator's performance. The obtained results show that natural convection considerably influences the heat transfer as well as the melting kinetics of the Phase Change Material (PCM). Besides, the results show that increasing the heat transfer fluid's thermal load can increase the melting rate of the PCM and the stored energy and reduce the entire melting time.
Day-ahead Coordinated Operation of a Wind-Storage System Considering Wind Forecast Uncertainty
Authors: Nguyen N. T. A. , Le D. D.
Published: June 2021

This paper proposes an optimal operation for coordinated Battery Energy Storage (BES) and wind generation in a day-ahead market under wind uncertainty. A comprehensive AC Optimal Power Flow (AC OPF) model was established to incorporate wind and storage into a power system. To take into account wind forecast uncertainty, preprocessing technique, time series model, and fast forward selection method were applied for scenario generation and reduction processes. Tests were performed on a modified IEEE 14-bus system and the results show that the use of BESs is an alternative to guarantee a more efficient and flexible operation of wind power plants.
Harnessing Electrical Power from Hybrid Biomass-Solid Waste Energy Resources for Microgrids in Underdeveloped and Developing Countries
Authors: Raza M. A. , Khatri K. L. , Rafique K. , Saand A. S.
Published: June 2021

This paper presents an energy plan for harnessing electrical power from hybrid energy resources, including biomass and solid waste, through hybrid technologies for microgrid development to overcome the current energy crisis and provide future sustainable electricity pathways for a developing country. Biomass and solid waste were collected from different dumping sites in Pakistan and were tested for their calorific value, which was found to be 6519Kcal/Kg. The total power was calculated based on this calorific value and it was found that there is a potential of total 11,989.5GW of power generation. Thus, hybrid energy resources are suitable for harnessing electrical energy through hybrid technologies. Different hybrid systems were examined for these resources and the gasification technique is finally proposed as the most suitable method for producing energy from biomass and solid waste resources in Pakistan. This technique is also found to be economically feasible for processing all kinds of waste.
Local Search-based Non-dominated Sorting Genetic Algorithm for Optimal Design of Multimachine Power System Stabilizers
Authors: Alshammari F. A. , Alshammari G. A. , Guesmi T. , Alzamil A. A. , Alshammari B. M. , Alshammari A. S.
Published: June 2021

This study presents a metaheuristic method for the optimum design of multimachine Power System Stabilizers (PSSs). In the proposed method, referred to as Local Search-based Non-dominated Sorting Genetic Algorithm (LSNSGA), a local search mechanism is incorporated at the end of the second version of the non-dominated sorting genetic algorithm in order to improve its convergence rate and avoid the convergence to local optima. The parameters of PSSs are tuned using LSNSGA over a wide range of operating conditions, in order to provide the best damping of critical electromechanical oscillations. Eigenvalue-based objective functions are employed in the PSS design process. Simulation results based on eigenvalue analysis and nonlinear time-domain simulation proved that the proposed controller provided competitive results compared to other metaheuristic techniques.
Cetane Number Improvement of Distilled Diesel from Tawke Wells
Authors: Majeed S. M. N. K. , Idrees S. A. , Musa V. A. , Simo S. M. , Mohammed A. A. , AbdulKareem L. A.
Published: June 2021

The current research aims to improve the cetane number of diesel extracted from the crude oil of Tawke region-Iraq Kurdistan. A specific mixture of chemical compounds was prepared which included m-nitrophenol, 4-nitro toluene, and nitrobenzene. The components' effects were investigated with regard to the cetane number, flash point, viscosity, and refractive index of diesel. The quantity of each compound mixed with diesel was prepared based on the statistical analysis of the experiment device (Box–Behnken Designs-BBDs). The tested mixture showed a good agreement and improvement of cetane and flash point and a very low effect on viscosity and refractive index. According to the statistical analysis, the main influence on cetane number and the flashpoint was from m-nitrophenol. The investigation showed that the best results were acquired from the samples of 25PPM 4-nitro toluene and 50PPM m-nitrophenol with a cetane number of 65.3. The correlation and the interaction of the regression equation were linear with all cases. It is worth mentioning that all additives positively influenced the cetane number in the regression equation. The sulfur content was measured as well, and the obtained weight percentage of sulfur was 0.8404%.
An Ultra-Wideband Band Pass Filter using Metal Insulator Metal Waveguide for Nanoscale Applications
Authors: Bitra S. K. , Miriyala S.
Published: June 2021

A T-stub Square Ring Resonator (SRR) based Ultra-Wide Band (UWB) Band Pass Filter (BPF) is studied and investigated in this paper. The proposed filter is based on coupled feed line connected to the T-stub SRR. Ultra-wideband characteristics can be realized by adjusting the T-stub lengths and coupling the gaps between both sides of waveguides and SRR. The characteristics of the T-stub SRR show that the miniaturized UWB BPF can be operated at THz frequencies. The proposed UWB filter is simulated and analyzed using the Finite Differential Time Domain (FDTD) solver-based Computer Simulation Technology (CST) studio suite. The resonance conditions are explained and the transmission performance of the filter agrees with the simulated and theoretical calculations. The proposed filter is best suitable for Electronic-Plasmonic Integrated Circuits (EPICs).
Utilization of Machine Learning in Supporting Occupational Safety and Health Decisions in Hospital Workplace
Authors: Koklonis K. , Sarafidis M. , Vastardi M. , Koutsouris D.
Published: June 2021

The prediction of possible future incidents or accidents and the efficiency assessment of the Occupational Safety and Health (OSH) interventions are essential for the effective protection of healthcare workers, as the occupational risks in their workplace are multiple and diverse. Machine learning algorithms have been utilized for classifying post-incident and post-accident data into the following 5 classes of events: Needlestick/Cut, Falling, Incident, Accident, and Safety. 476 event reports from Metaxa Cancer Hospital (Greece), during 2014-2019, were used to train the machine learning models. The developed models showed high predictive performance, with area under the curve range 0.950-0.990 and average accuracy of 93% on the 10-fold cross set, compared to the safety engineer’s study reports. The proposed DSS model can contribute to the prediction of incidents or accidents and efficiency evaluation of OSH interventions.
Study on Behaviour of Outrigger System on High Rise Structure by Varying Outrigger Depth in Seismic Zones of India by Using Staad Pro
Authors: Ade Mayuri N. , Dhawle Prof. G. D. , Lohe Prof. M. M.
Published: June 2021

Tall building development is rapidly growing almost everywhere in the world acquainting new difficulties that need to be met with, through engineering evaluation. In tall buildings, lateral loads generated by earthquake or wind load are frequently resisted by providing coupled shear walls. But as the height increases, the building becomes taller and the efficiency of the tall building greatly depends on lateral stiffness and resistance capacity. So, a system called outrigger is introduced which improves overturning stiffness and strength by connecting shear wall core to outer columns. When the Structure is subjected to Lateral forces, the Outrigger and the columns resist the rotation of the core and thus significantly reduce the lateral deflection and base moment, which would have arisen in a free core. During the last three decades, numerous studies have been carried out on the analysis and behaviour of outrigger structures. But this question is remained that how many outriggers system is needed in tall buildings. (Using Staad-Pro)
Automatic Public Issue Sorting System Implemented using ML Methods
Authors: Naphade Shubham , Jare Sumit , Chavan Rohan , Nawale Nayan , Chiwhane Dr. Shwetambari
Published: June 2021

In our day to day life there are several civic issues which are being faced by each& every person in the world.& if we take countries just like India or any other country where population is too much, in such countries there are several civic issues which are faced by each citizen in such countries. There is another kind of people also present in respective countries, they are very sciatic who really wants to act regarding such as garbage wasting or any other issues. They register their complaint but they don’t know the status of their complaint, just because of that they leave from that topic & easily move on.So, this is just an effort for finding remedy for all above mentioned issues.
A framework for decision making of migraine treatment with anti- CGRP monoclonal antibodies: a guide for real-world practice and public policies
Authors: Gama Reinilza Nunes da , Lima Thaiza Agostini Córdoba de , Dangoni Filho Iron , Peres Mario Fernando Prieto
Published: June 2021

Anti-CGRP monoclonal antibodies have been developed for migraine preventive treatment. There is evidence of good efficacy and safety of these medications; however, cost is a factor that interferes with the choice of treatment. This paper proposes a framework in order to better assist the decision-making processes on the use of these drugs in developing countries without coverage of health care costs for migraine. The framework was built after reviewing phase II and III studies on episodic and chronic migraine treatment with erenumab, galcanezumab and fremanezumab.
Entre Ulises y Penélope: el lugar de las exiliadas del Cono Sur Latinoamericano
Authors: Avila Mariela
Published: June 2021

El mito de Ulises, narrado por Homero, se ha constituido en el paradigma del exilio. Sus aventuras y desventuras parecen representar las existencias exiliadas. Sin embargo, en este trabajo, y a partir de la reflexión de Vásquez y Araujo (Vásquez y Araujo, 1990), nos preguntamos por su representatividad, pues pareciera que deja fuera la experiencia femenina del exilio. Por otra parte, Penélope, su mujer, tampoco parece representar este registro, pues su exilio es de orden interno. En esta línea, y situando el análisis en los exilios del Cono Sur latinoamericano, desarrollamos una reflexión filosófica que busca indagar sobre el lugar de la mujer en este mito en particular y en las narrativas y discursividades sobre el exilio en general. Para ello acudimos a Hannah Arendt, quien nos brindará algunas luces sobre la distinción entre espacio público y espacio privado, separación que se evidencia en el mito y que, a su vez, es cuestionada por las exiliadas latinoamericanas. Todo lo anterior, habilitará una reflexión sobre las exiliadas del Cono Sur y su relación con los roles de género, las representaciones, la memoria y la posibilidad de una libertad creadora.
Recrear los circuitos fronterizos. Experiencias de mujeres paraguayas en tres nichos comerciales de la Triple-frontera del Paraná
Authors: Guizardi Menara , Nazal Esteban , Magalhaes Lina , Stefoni Carolina
Published: June 2021

El presente trabajo deriva de un estudio de caso etnográfico que analiza las experiencias de inserción laboral de 30 mujeres paraguayas en la Triple-frontera del Paraná (entre Argentina, Brasil y Paraguay). Mostraremos porqué el comercio significa una salida laboral central para las entrevistadas, permitiéndoles estrategias de conciliación de las sobrecargas productivas y reproductivas. Finalizamos con reflexiones analíticas que abordan las estrategias y nuevos circuitos comerciales desarrollados por las mujeres en esta zona fronteriza.
Clock Synchronization using Truncated Mean and Whale Optimization for Clustered Sensor Networks
Authors: Soundarapandian Karthik , Ambrose Ashok Kumar
Published: June 2021

Clock synchronization is an important component in many distributed applications of wireless sensor networks (WSNs). The deprived method of clock offset and skew estimation causes inaccuracy, synchronization delay, and communication overhead in the protocols. Hence, this paper exploits two techniques of variation truncated mean (VTM) and whale optimization (WO) to enhance the synchronization metrics. Sensor nodes are grouped into several non-overlapped clusters. The cluster head collects the member nodes’ local time and computes the synchronization time 𝑆𝑍𝑡 using the truncated mean method. Nodes with a high variation in the timings compared to a preset value are truncated. The head node broadcasts the 𝑆𝑍𝑡 in which the whale optimization is aiming at each node to reduce the synchronization error. The intra and inter-cluster synchronizations are accomplished through the multihop message exchange approach. The theoretical analysis is validated, and the simulation outcomes show that the performance metrics in the proposed work are better than the conventional methods by achieving minimum error value.
A Controllable RSU and Vampire Moth to Support the Cluster Stability in VANET
Authors: Adrian Ronald , Sulistyo Selo , Mustika I Wayan , Alam Sahirul
Published: June 2021

VANET has a dynamic topology that affects cluster formation stability. It influences vehicle’s network quality though supporting this stability requires a fast and small cluster formation process. It is necessary because of the rapidly changing condition of the vehicle's position. Moreover, small cluster groups make network quality more evenly distributed among its members. They are essential components in the formation of good clusters in VANET. In the previous research, the algorithm used for this process is based on moth flame optimization. This study proposes modifications in this algorithm to speed up the convergence process, facilitated by a model of turning angles in the moth. Furthermore, the flame at the destination moth is created dynamically to approach the real conditions in VANET. The use of coefficients is further introduced to reduce cluster size according to the traffic conditions. The cluster management process uses a fully controlled Road Side Unit on the vehicle’s traffic conditions. In the final result, the convergence time is slightly faster, with better results in the throughput at 101.1%, the number of clusters at 58.1%, and the delay at 5.5%, respectively.
ĐÁNH GIÁ KẾT QUẢ ĐIỀU TRỊ NGOẠI KHOA HỘI CHỨNG ĐỘNG MẠCH CHỦ NGỰC CẤP
Authors: Hữu Thọ Nông , Thọ Tuấn Anh Phạm , Hoàng Định Nguyễn
Published: June 2021

Mục tiêu: Đánh giá kết quả điều trị ngoại khoa hội chứng ĐMC ngực cấp ở nhóm bệnh nhân được nghiên cứu. Đối tượng và phương pháp: Mô tả tiến cứu, hàng loạt các trường hợp bệnh nhân có HCĐMC ngực cấp được điều trị ngoại khoa tại khoa phẫu thuật tim, bệnh viện Chợ Rẫy và khoa phẫu thuật tim mạch, bệnh viện Đại Học Y Dược trong thời gian từ tháng 9/2015 đến tháng 9/2018. Kết quả: Trong thời gian 3 năm (9/2015- 9/2018), chúng tôi thu thập được 102 trường hợp được chẩn đoán hội chứng ĐMC cấp. Sau khi được hội chẩn tim mạch, có 101 ca được điều trị phẫu thuật. Phân tầngđược các tổn thương và xác định phạm vi can thiệp: thay ĐMC lên và quai: có tỷ lệ cao nhất (54,5%);  thay ĐMC lên và bán quai: có tỷ lệ ít nhất (20,8%); xử trí thay 1 đoạn ĐMC đơn thuần là thường gặp (24,8%); trong đó chỉ có 6 TH được phẫu thuật kết hợp can thiệp nội mạch. Tỷ lệ tử vong sớm trong thời gian nằm viện là 22,7 % (23/101). Nguyên nhân tử vong sớm: thường gặp là viêm phổi và TBMMN. Biến chứng thường gặp nhất: TBMMN (25,7%), viêm phổi (37,6%). Kết quả trung hạn: thời gian theo dõi trung bình là 32,2 tháng. Ghi nhận: có 8 trường hợp mất dấu theo dõi và có thêm 7 TH tử vong trong suốt thời gian theo dõi. Tỷ lệ sống còn của nghiên cứu theo đồ thị Kaplan-Meier là: 69%. Kết luận: Điều trị phẫu thuật vẫn còn nhiều khó khăn và thử thách. Phạm vi xử trí tập trung đoạn lên và quai chiếm tỷ lệ cao. Thay ĐMC lên và quai (54,5%); thay ĐMC lên và bán quai (20,8%). Nhiều biến chứng sau mổ được ghi nhận với tỷ lệ khác nhau. Tỷ lệ tử vong sớm trong thời gian nằm viện là 22,7%. Trong suốt thời gian theo dõi là 32,2 tháng, tỷ lệ sống còn theo đồ thị Kaplan- Meier là 69%.
NGHIÊN CỨU BÀO CHẾ VIÊN NANG CHỨA CAO TÔ MỘC (Lignum Sappan)
Authors: Đăng Thoại Nguyễn , Tú Quyên Huỳnh , Mỹ Lệ Khưu
Published: June 2021

Mục tiêu: Bào chế và kiểm nghiệm chất lượng của viên nang cứng tô mộc từ dược liệu tô mộc (Caesalpinia Sappan L., Fabaceae). Nguyên liệu và phương pháp: Tô mộc được chiết xuất bằng phương pháp chiết nóng, cô cao đến 30% ẩm. Công thức viên nang cứng được xây dựng và chọn lựa dựa vào độ ẩm, tỷ trọng biểu kiến và độ trơn chảy của khối bột đóng nang với các thiết bị tương ứng. Kết quả: Hàm lượng cao tô mộc trong viên nang là 160mg. Tá dược độn dùng cho viên nang là Avicel, tinh bột. Kết quả định tính cho thấy viên nang tô mộc chứa cao tô mộc có phản ứng dương tính với các thuốc thử trong phép thử định tính bằng phản ứng hóa học. Với phương pháp sắc ký lớp mỏng, trên sắc ký đồ của viên nang có các vết cùng giá trị Rf và cùng màu sắc với các vết trên sắc ký đồ của dược liệu đối chiếu. Viên đạt yêu cầu về độ đồng đều khối lượng, độ rã theo quy định của viên nang. Kết luận: Viên nang chứa cao tô mộc đã được bào chế đạt yêu cầu về chất lượng của viên nang, có thể được ứng dụng để điều trị viêm, giảm đau.
KHẢO SÁT TƯƠNG QUAN GIỮA KHOẢNG CÁCH GIỮA HAI ĐỒNG TỬ VỚI KHOẢNG CÁCH GIỮA HAI GÓC MẮT TRONG Ở NGƯỜI VIỆT TRƯỞNG THÀNH - NGHIÊN CỨU SỬ DỤNG TRONG PHỤC HÌNH Ổ MẮT
Authors: Thái Phượng Nguyễn , Minh Trí Đoàn
Published: June 2021

Mục tiêu: Khảo sát tương quan giữa khoảng cách giữa hai đồng tử với khoảng cách giữa hai góc mắt trong ở người Việt trưởng thành, giúp cung cấp thêm thông tin cho việc thực hiện phục hình ổ mắt, một loại hình trong phục hình hàm mặt. Đối tượng và phương pháp: Nghiên cứu cắt ngang mô tả qua ảnh chụp mặt thẳng của 100 sinh viên khoa Răng Hàm Mặt - Đại học Y Dược thành phố Hồ Chí Minh, tuổi từ 21 đến 28. Dùng phần mềm AutoCAD để đo các kích thước trên ảnh và phần mềm SPSS để phân tích thống kê. Kết quả: Nghiên cứu cho thấy khoảng cách giữa hai đồng tử có tương quan mạnh với khoảng cách giữa hai góc mắt trong khi xét trên toàn bộ mẫu lẫn khi phân chia theo giới (r > 0,5). Sử dụng phương trình hồi quy tuyến tính đơn biến giúp dự đoán khoảng cách giữa hai đồng tử từ khoảng cách giữa hai góc mắt trong. Kết luận: Khoảng cách giữa hai đồng tử có tương quan mạnh với khoảng cách giữa hai góc mắt trong. Có thể dự đoán sơ khởi khoảng cách giữa hai đồng tử từ khoảng cách giữa hai góc mắt trong bằng phương trình hồi quy tuyến tính đơn biến.
NGHIÊN CỨU SỰ THAY ĐỔI NỒNG ĐỘ MỘT SỐ CYTOKIN Ở BỆNH VẨY NẾN THÔNG THƯỜNG MỨC ĐỘ NẶNG TRƯỚC VÀ SAU ĐIỀU TRỊ BẰNG CYCLOSPORIN A
Authors: Thị Hồng Thanh Lê , Văn Em Đặng
Published: June 2021

Mục tiêu: Xác định sự thay đổi nồng độ các cytokin IL-2, IL-6, IL-8, IL-10, IL-12, IL-17, INF-g, TNF-α của bệnh nhân vảy nến thông thường mức độ nặng trước và sau điều trị bằng Cyclosporin A. Đối tượng và phương pháp: 35 bệnh nhân vảy nến thông thường mức độ nặng điều trị ngoại  trú tại phòng khám chuyên đề bệnh vảy nến-bệnh viện Da liễu trung ương từ 10/2016-10/2019 được định lượng nồng độ các cytokine IL-2, IL-6, IL-8, IL-10, IL-12, IL-17, INF-g, TNF- α trong huyết thanh trước và sau điều trị bằng Cyclosporin A. Kết quả: Nồng độ các cytokine IL-2, IL-6, IL-8, IL-10, IL-12, IL-17, TNF- α  trước và sau điều trị thay đổi không có ý nghĩa thống kê, với p>0,05, tuy nhiên nồng độ INF-g huyết thanh sau điều trị đã giảm có ý nghĩa thống kê, với p<0,05. Kết luận: Sau 10 tuần điều trị bệnh vảy nến thông thường mức độ nặng bằng uống Cyclosporin A liều 2,5 – 3mg/kg/ngày thì nồng độ một số cytokine IL-2, IL-6, IL-8, IL-10, IL-12, IL-17, TNF- α huyết thanh chưa thay đổi. Tuy nhiên nồng độ INF-g sau điều trị giảm rõ rệt.