bluuebunny/crossref_metadata_2025 huggingface dataset:
Impact of ChAdOx1 nCoV-19 (Covishield™) Vaccination: How Long Will It Persist?
Authors: Devi Leimapokpam Sumitra , Sardar Moumita , Sharma Mukesh , Khandait Manisha
Published: May 2022

An increase in COVID-19 immunization coverage has been linked to a decrease in the average case fatality rate. As a result, further research is needed to determine the persistence and duration of vaccine-induced protective antibodies in order to assess the effectiveness of COVID-19 vaccinations. The present study aimed to determine the COVID-19 IgG antibodies among healthcare workers (HCWs) before and after the ChAdOx1 nCoV-19 (Covishield™) vaccination. A total of 150 HCWs who had received the Covishield™ vaccine were assessed after obtaining written informed consent. Blood samples were drawn at three time points, namely, within one week prior to first dose of vaccination, prior to second dose of vaccination (28–33 days after the first dose of vaccination), and 90–95 days after the second dose of vaccination for detecting neutralizing antibodies, i.e., IgG antibodies by ELISA. The overall baseline seropositivity among the HCWs was found to be 28% (n = 42), assessed by the sample collected prior to first dose of COVID-19 vaccination. The seroconversion rate was reported to be 80% (n = 120) one month after the first dosage and increased to 92.7% (n = 139) three months later. Additionally, there was a significant gradual increase in the IgG concentrations postvaccination in majority of the study participants. In those HCWs who had prior history of SARS-CoV-2 infection, significantly higher antibody level was observed compared to antibody-naive individuals. Fever, pain or swelling at the site of injection, and headache were the most frequently reported adverse events following vaccination among the study participants. Regardless of prior SARS-CoV-2 positivity, two doses of the CovishieldTM vaccine elicited a protective neutralizing antibody response that lasted for three months after the second dose of vaccination.
Spatiotemporal Study of COVID-19 in Fars Province, Iran, October-November 2020: Establishment of Early Warning System
Authors: Semati Ali , Zare Azimeh , Zare Marjan , Mirahmadizadeh Alireza , Ebrahimi Mostafa
Published: May 2022

Background. Using time series and spatiotemporal analyses, this study aimed to establish an Early Warning System (EWS) for COVID-19 in Fars province Iran. Methods. A EWS was conducted on (i) daily basis city-level time series data including 53 554 cases recorded during 18 February–30 September 2020, which were applied to forecast COVID-19 cases during 1 October–14 November 2020, and (ii) the spatiotemporal analysis, which was conducted on the forecasted cases to predict spatiotemporal outbreaks of COVID-19. Results. A total of 55 369 cases were forecasted during 1 October–14 November 2020, most of which (26.9%) occurred in Shiraz. In addition, 65.80% and 34.20% of the cases occurred in October and November, respectively. Four significant spatiotemporal outbreaks were predicted, with the Most Likely Cluster (MLC) occurring in ten cities during 2–22 October (

P
<
0.001

for all). Moreover, subgroup analysis demonstrated that Zarrindasht was the canon of the epidemic on 6 October (

P
=
0.04

). As a part of EWS, the epidemic was triggered from Jahrom, involving the MLC districts in the center, west, and south parts of the province. Then, it showed a tendency to move towards Zarrindasht in the south and progress to Lar in the southernmost part. Afterwards, it simultaneously progressed to Fasa and Sepidan in the central and northwestern parts of the province, respectively. Conclusion. EWS, which was established based on the current protocol, alarmed policymakers and health managers on the progression of the epidemic and on where and when to implement medical facilities. These findings can be used to tailor province-level policies to servile the ongoing epidemic in the area; however, governmental level effort is needed to control the epidemic at a larger scale in the future.
Multidimensional Collaborative Management of Environment and Economy in the Internet-of-Things Environment
Authors: Yu Rui , Han Ling
Published: May 2022

In this study, multidimensional collaborative management of the modern environmental economy is proposed for strategic management, distribution management, service quality management, and warehouse management, which the modern environmental economy enterprises face under the internet-of-things environment. This study studies the law of multidimensional coordination of environmental economy and puts forward the classification of the modern multidimensional coordination of environmental economy. The multidimensional synergetic-order parameter equation of the modern environmental economic system is constructed, and the information synergy is the order parameter of the environmental economic system by accurate elimination method, and the fluctuation and balance of the environmental economic system are accurately controlled by the order parameter. By using structural equation modeling and other quantitative research methods, the corresponding planning and decision-making mathematical model is established, which provides relevant support for the realization of informatization and intelligentization of multidimensional collaborative management of the environment and economy. An incentive internal management collaboration model based on right of entry is proposed. Aiming at the problem of multidimensional environmental economic management coordination, a dynamic multidimensional environmental economic coordination management algorithm was designed by using the decomposition method, and the effectiveness of the algorithm was verified by numerical experiments.
[Retracted] Characteristics Analysis of Mental Health Data of College Students Based on Convolutional Neural Network and TOPSIS Evaluation Model
Authors: Zhou Lanfeng
Published: May 2022

With the rapid development of modern society, there are many problems concerning the physical and mental health of students. This paper develops a feature analysis method of the mental health data of students in different colleges and regions and of different ages based on a convolutional neural network and TOPSIS evaluation model and studies the college students’ mental health analysis model based on convolutional neural network. First, through the data cluster summary and internal characteristics analysis of college students’ psychological questionnaire survey data in different regions and grades, we established a college students’ mental health grade system and evaluation index system. Then, the TOPSIS analysis method is used to analyze the characteristics of the data results, and the feasibility of the accuracy of the evaluation index standard is analyzed. Finally, the experimental results show that the college students’ mental health analysis model based on convolutional neural network can effectively classify and summarize various mental health data, quickly locate the mental health problems of different students and analyze the optimal solutions, and can effectively promote the process of analysis and research on the mental health problems in modern college students.
SARS-CoV-2 Genome-Based Severity Predictions Correspond to Lower qPCR Values and Higher Viral Load
Authors: Skarzynski Martin , McAuley Erin M. , Maier Ezekiel J. , Fries Anthony C. , Voss Jameson D. , Chapleau Richard R.
Published: May 2022

The 2019 coronavirus disease (COVID-19) pandemic has demonstrated the importance of predicting, identifying, and tracking mutations throughout a pandemic event. As the COVID-19 global pandemic surpassed one year, several variants had emerged resulting in increased severity and transmissibility. Here, we used PCR as a surrogate for viral load and consequent severity to evaluate the real-world capabilities of a genome-based clinical severity predictive algorithm. Using a previously published algorithm, we compared the viral genome-based severity predictions to clinically derived PCR-based viral load of 716 viral genomes. For those samples predicted to be “severe” (probability of severe illness >0.5), we observed an average cycle threshold (Ct) of 18.3, whereas those in in the “mild” category (severity probability <0.5) had an average Ct of 20.4 (

P
=
0.0017

). We also found a nontrivial correlation between predicted severity probability and cycle threshold (r = −0.199). Finally, when divided into severity probability quartiles, the group most likely to experience severe illness (≥75% probability) had a Ct of 16.6 (n = 10), whereas the group least likely to experience severe illness (<25% probability) had a Ct of 21.4 (n = 350) (

P
=
0.0045

). Taken together, our results suggest that the severity predicted by a genome-based algorithm can be related to clinical diagnostic tests and that relative severity may be inferred from diagnostic values.
Existence and Uniqueness for Coupled Systems of Hilfer Type Sequential Fractional Differential Equations Involving Riemann–Stieltjes Integral Multistrip Boundary Conditions
Authors: Samadi Ayub , Ntouyas Sotiris K. , Asawasamrit Suphawat , Tariboon Jessada
Published: May 2022

In this paper, we study a coupled system of Hilfer type sequential fractional differential equations supplemented with Riemann–Stieltjes integral multistrip boundary conditions. The standard tools of the fixed point theory are employed to prove the existence and uniqueness results for the considered problem. Examples are constructed for the illustration of the obtained results.
The Shared Experience of Insured and Uninsured Patients: A Comparative Study
Authors: Binsaeed Rima , Aljuaid Mohammad , Alswaiti Shatha , Alkharras Fatimah , Alonazi Wadi
Published: May 2022

Background. Despite efforts to ensure equitable quality of care for all patients, a significant gap persists between the quality of care experienced by insured and uninsured patients in Saudi Arabia. This study aims to identify and compare the differences between insured and uninsured patients in terms of their experience of quality of care in a tertiary hospital. Methods. A descriptive cross‐sectional study was utilized. Insured and uninsured individuals who had undergone identical medical procedures in early 2021 were identified from a public 500‐bed tertiary hospital. About 350 patients participated in this study by completing an online, self‐administered questionnaire, adopted by Abuosi and others in 2016, assessing six dimensions of quality of care. Results. Significant differences were reported between the quality of care experienced by insured and uninsured subjects (M = 3.37, SD = 0.525, and M = 3.06, SD = 0.452, respectively, p = 0.001). While insured group reported high quality of care, followed by fairness of care (r = 0.744 and r = 0.675, p ≤ 0.001, n = 175), uninsured subjects experienced less fairness with low quality of care. Conclusions. The insured individuals were found to be more attentive to the quality of care offered by the hospital than their counterparts. Efforts to close the gap in quality of care should include monitoring healthcare outcomes, adopting transparency standards, and facilitating procedures to minimize barriers among patients.
Evaluation of 93 Accessions of African Yam Bean (Sphenostylis stenocarpa) Grown in Ethiopia for Physical, Nutritional, Antinutritional, and Cooking Properties
Authors: Shitta Ndenum Suzzy , Abebe Abush Tesfaye , Oselebe Happiness O. , Edemodu Alex Chukwudi , Alamu Emmanuel Oladeji , Abberton Michael T. , Maziya-Dixon Bussie , Adesokan Michael , Fenta Berhanu , Abtew Wosene Gebreselassie
Published: May 2022

African yam bean has immense food and nutrition potential and is resilient to adverse environmental conditions. Despite its potential, the crop is underutilized, which could be attributed to seed hardness (requiring about 6–24 hours of cooking time); and the abundance of antinutrient factors (tannin, phytate, and oxalate). This study evaluated the physical (seed hardness, cooking time) and chemical compositions (crude protein, tannin, phytate, and oxalate) of 93 AYB accessions grown in Ethiopia. The seed hardness of each accession was determined by the compression force and compression time using Texture Analyzer, whereas cooking time was ascertained using Mattson Bean Cooker. The accession’s crude protein level, tannin, oxalate, and phytate were investigated from flour samples using standard laboratory procedures. Highly significant (

P
<
0.01

) differences were observed for cluster means of compression force, cooking time, and oxalate. The accessions were grouped into three clusters: cluster-II was prominent with 42 accessions, while cluster-I had the least (25). The mean values for compression force ranged from 50.05 N ± 10.25 (TSs-423) to 278.05 N ± 13.42 (TSs-378) whereas compression time varied from 0.35 secs ± 0.02 (TSs-334) to 5.57 secs ± 6.12 (TSs-62B). Cooking time ranged from 127.50 mins ± 2.12 (TSs-82A) to 199.50 mins ± 10.61 (TSs-138B); crude protein ranged from 15.41% ± 0.11 (TSs-269) to 24.51% ± 0.22 (TSs-446). Tannin ranged from 0.61 mg/g  ± 0.02 (TSs-47) to 9.62 mg/g ± 0.03 (TSs-334) likewise, phytate ranged from 0.28 ± 0.01 (TSs-137) to 7.01 ± 0.10 (TSs-3). Accessions TSs-55; TSs-82 showed the lowest oxalate content of 0.21% ± 0.01; 0.21% ± 0.00, respectively. Similarly, TSs-352; TSs-47 revealed the most abundant tannin content of 0.70 ± 0.00 and 0.70 ± 0.07. The correlation analysis revealed a low positive and significant (

P
<
0.05

) association (r = 0.24) between protein and phytate content.
CircSND1/miR-182-5p Axis Promotes Proliferative and Invasive Abilities of Thyroid Cancer via Binding Targeting MET
Authors: Wang Dongliang , Zhang Shuilong , Li Dewei , Wang Qiang , Xiao Zhifu , Zhang Yuhang
Published: May 2022

Objective. To monitor the impacts of circSND1 upon thyroid cancer (TC) tissues and cells and its mechanisms. Methods. Thiazole blue (MTT) was adopted to monitor the impacts of circSND1 upon the proliferative abilities of TPC-1 and SW1736 cells. 5-Bromodeoxyuridine (BrdU) combined with flow cytometry was adopted to monitor the impacts of circSND1 upon the DNA synthesis of TPC-1 and SW1736 cells. We adopted transwell experiment to examine the impacts of circSND1 on cell invasive abilities of TPC-1 and SW1736 cells. The mRNA quantitative levels of circSND1, miR-182-5p, and mesenchymal epidermal transformation factor (MET) in TC tissues were detected by qRT-PCR experiment. We also adopted luciferase assay to verify the targeting interaction between miR-182-5p and MET or miR-182-5p and circSND1. Results. CircSND1 mRNA and MET mRNA were upregulated in thyroid cancer tissues. MiR-182-5p quantification was attenuated in thyroid cancer tissues. Downregulation of circSND1 suppressed TC progression in vivo and in vitro. Furthermore, luciferase report assay uncovered that miR-182-5p was a direct binding target of circSND1 and MET was a direct binding target of miR-182-5p. Besides, circSND1 regulated MET expression and thyroid cancer cell function via binding miR-182-5p. Conclusion. Overexpression of circSND1 in TC tissues and cells facilitates TC tumorigenesis and metastasis via suppressing the quantitative level of miR-182-5p and inducing the upregulation of MET mRNA and protein expression, which expected to offer fresh clues for the administration of TC.
Urothelial Carcinoma in an Allograft kidney
Authors: Hejlesen Maria Baand , Youssef Mohammad Hassan , Bech Jesper Noergaard , Mose Frank Holden
Published: May 2022

Patients who have been kidney transplanted have an increased risk of developing cancer. This case report presents a rarely described case in which a patient, who had received a kidney transplant from a deceased donor, was diagnosed with disseminated urothelial carcinoma originating from the allograft. After the removal of the allograft and the immunosuppressive treatment, there was regression in the cancer. Unfortunately, it was not a complete regression of the urothelial cancer and the patient died. This case indicates that there is a risk of getting cancer from the transplanted kidney from a deceased donor, but also that the immunosuppressive treatment can contribute to the development of this cancer.
Acute Response of Engineered Cardiac Tissue to Pressure and Stretch
Authors: Donoghue Leslie , Graham Caleb , Sethu Palaniappan
Published: May 2022

The heart is a dynamic organ, and the cardiac tissue experiences changes in pressure and stretch during the cardiac cycle. Existing cell culture and animal models are limited in their capacity to decouple and tune specific hemodynamic stresses implicated in the development of physiological and pathophysiological cardiac tissue remodeling. This study focused on creating a system to subject engineered cardiac tissue to either pressure or stretch stimuli in isolation and the subsequent evaluation of acute tissue remodeling. We developed a cardiac tissue chip containing three-dimensional (3-D) cell-laden hydrogel constructs and cultured them within systems where we could expose them to either pressure changes or volume changes as seen in the left ventricle. Acute cellular remodeling with each condition was qualitatively and quantitatively assessed using histology, immunohistochemistry, gene expression studies, and soluble factor analysis. Using our unique model systems, we isolated the effects of pressure and stretch on engineered cardiac tissue. Our results confirm that both pressure and stretch mediate acute stress responses in the engineered cardiac tissue. However, both experimental conditions elicited a similar acute phase injury response within this timeframe. This study demonstrates our ability to subject engineered cardiac tissue to either pressure or stretch stimuli in isolation, both of which elicited acute tissue remodeling responses.
Ionic Detergent Under Pressure-Vacuum as an Innovative Strategy to Generate Canine Tracheal Scaffold for Organ Engineering
Authors: Matias Gustavo S.S. , Carreira Ana C.O. , Batista Vitória F. , Barreto Rodrigo S.N. , Miglino Maria A. , Fratini Paula
Published: May 2022

Decellularized scaffolds applied in tissue engineering offer improvements, supplying the elevated necessity for organs and tissues for replacement. However, obtaining a functional trachea for autotransplantation or allotransplantation is tricky due to the organ anatomical and structural complexity. Most tracheal decellularization protocols are lengthy, expensive, and could damage the tracheal extracellular matrix (ECM) architecture and functionality. Here, we aimed to evaluate the effectiveness of 3 different decellularization protocols combined with chemical and physical methods to obtain acellular canine tracheal scaffolds. Six adult dog tracheas were incised (tracheal segments) resulting in 28 rings for control tissue and 84 rings for decellularization (5–7 mm thick). Subsequently, decellularized tracheal scaffolds were microscopically/macroscopically characterized by histological analysis (Hematoxylin-Eosin, Masson’s trichrome, Picrosirius red, Alcian blue, and Safranin O), immunohistochemistry for ECM components, scanning electron microscopy, and genomic DNA quantification. After decellularization, the tracheal tissue revealed reduced genomic DNA, and maintenance of ECM components preserved (structural proteins, adhesive glycoproteins, glycosaminoglycans and proteoglycans), suggesting ECM integrity and functionality. Comparatively, the combined ionic detergent with high vacuum pressure decellularization protocol revealed superior genomic DNA decrease (13.5 ng/mg) and improvement on glycosaminoglycans and proteoglycans preservation regarding the other decellularized trachea scaffolds and native tissue. Our results indicate that the 3 chemical/physical protocols reduce the decellularization time without ECM proteins damage. Notwithstanding, the use of ionic detergent under vacuum pressure was able to generate an innovative strategy to obtain acellular canine tracheal scaffolds with the highest levels of adhesive proteins that support its potentiality for recellularization and future tissue engineering application.
Intelligent maximum power point tracker enhanced by sliding mode control
Authors: Attia Hussain , Elkhateb Ahmad
Published: May 2022

In solar photovoltaic systems applications, the maximum power point tracker has been involved for different purposes to support their performance. The maximum power point tracking (MPPT) works on growing the obtained electricity from the solar photovoltaic energy and consequently increases the quantity of the delivered electrical power from the photovoltaic (PV) system. Relying on this point, this paper introduces an intelligent tracker to guarantee the MPP working condition for a small size 150 W stand-alone PV system. In this study, an intelligent algorithm is proposed to have a fast and accurate tracker. Moreover, a robust sliding mode controller is inserted for improving the performance of a direct current (DC-DC) boost converter. The converter is working in a continuous conduction mode operation to enhances the MPP tracker. Simulink of MATLAB is adopted to implement the system. The results of the simulated tracker are evaluated comparatively based on the artificial neural network (ANN) algorithm with and without inserting the sliding mode (SM) controller for different light intensity trends and levels. Simulation results analyzed and confirmed the effectiveness of the proposed tracker.
Computer simulation model of multi-input multi-output converter using single-phase matrix converter
Authors: Ghazali Mohd Shukri bin Mohd , Baharom Rahimi Bin , Muhammad Khairul Safuan Bin , Lu Dylan Dah-Chuan
Published: May 2022

This paper presents a multi-input, multi-output power converter system using a single-phase matrix converter (SPMC) circuit topology. In particular, this technology is of vital importance in floating production such as offshore oil and gas platforms where space is crucial, therefore requiring a reduction in equipment size and weight. The proposed circuit topology only employed a single circuit to perform energy conversion of direct current (DC) to alternating current (AC), DC to DC, AC to DC, and AC to AC operations, thus can reduce the power losses resulting in high power density. As a result, it can promise technological advancement and convergence, hence, support the manufacturing sector transition to industry 4.0, and in line with the United Nation’s sustainable development goals. The proposed converter model will be validated in terms of electrical circuit operations through the computer simulation (MATLAB/Simulink) software.
Unbalanced three-phase interleaved LLC resonant converter: current phase angle balancing technique
Authors: Thong Hoang Trung , Linh Nguyen Hoang , Canh Hoang Van , Phuong Pham Viet , Trung Nguyen Kien
Published: May 2022

Resonant power supplies have the advantage over traditional pulse width modulation (PWM) converters due to their soft switching capabilities. In addition, the output current ripple can be reduced by using three phase interleaving structure. However, this structure also suffers from some disadvantages, such as resonant current imbalance. Most previous solutions have been focused on hardware as adding extra power switches, increasing the cost and volume of the converter. There are not many software solutions due to the difficulty in modeling unbalance three-phase. This paper will propose a smoothly resonant current balancing solution for the three-phase interleaved LLC structure which is based on controlling directly resonant current phase angles (CPAB). This proposed method shows better current balance and response than the old trigonometric current balancing (TCB) method. The proposed technique is also verified by a 48 V 3.6 kW prototype converter and its experimental results.
Microcontroller based dual energy Moringa leaf dryer design and development
Authors: Jalil Saifuddin Muhammad , Husaini Husaini , Munadi Rizal , Sara Ira Devi
Published: May 2022

This paper presents the design and development of an automatic dual energy solar powered Moringa dryer used to remove moisture. Moringa leaves are circulated by hot air evenly in a cylindrical mesh of aluminum mesh which rotates at 20 revolutions per minute through which hot air is passed to extract moisture from the leaves. The Arduino Uno or Atmega32 microcontroller works in conjunction with appropriate sensors to monitor and control humidity, moisture content, motor speed, room temperature, heater, and fan. Based on the moisture content in the Moringa leaves, the sensor sends a control signal to the controller. The results showed a good response in removing the initial moisture content from 18.5% to the final moisture content to 4% of green leaves without changing the nutritional value. Qualitative analysis showed that traditional drying, namely open drying, drying Moringa leaves each for 3 days in 12 hours with a final moisture content of 7%, while double solar drying only takes 3 days in 12 hours with a final moisture content of 4%, and produce better quality Moringa leaves. High efficiency in the drying process of Moringa leaves compared to traditional drying, where this tool can dry Moringa leaves faster by 3%.
Modelling G3 gas as an alternative gas for SF6 using COMSOL multiphysics
Authors: El-Zein Abelatef Mohammed , Ibrahim Ayman Bdrawy
Published: May 2022

Sulfur hexafluoride (SF6) gas is the most often gas used in high voltage systems as insulating medium and arc quenching because it has many advantages such as high dielectric strength, low boiling point, low toxicity, and stability for a long period. The 1997 Kyoto protocol recommended the elimination of SF6 gas, because its impact on the atmosphere has global warming potential (GWP) equal to 23,500 and an ozone depletion potential (ODP) equal to 0.08. Kyoto protocol recommended alternatives gases for SF6 gas such as CF3CHCL2, and others. In this paper a new gas called a HeptaFluoro-iso-Butyronitrile+CO2 ([(CF3)2CFCN+CO2]) which is known commercially as green global gas (G3) The dielectric strength for the proposed gas is approximately equal to SF6 gas and excellent arc quenching and achieve Kyoto protocol recommendations about using alternative gases with 98% less impact on GWP than SF6 gas also G3 gas maintain the same dimension and overall footprint which is an important economical factor for utilities. The total bond energy analysis of SF6 and G3 gases has been studied. COMSOL multiphysics was used to simulate the SF6 and G3 gases to show the ability of the G3 gas when working in geographic information system (GIS) equipment.
Photovoltaic emulator using error adjustment fuzzy logic proportional-integral controller
Authors: Ayop Razman , Tan Chee Wei , Ayob Shahrin Md , Muhamad Nik Din , Jamian Jasrul Jamani , Noorden Zulkarnain Ahmad
Published: May 2022

The photovoltaic (PV) technology has been increasingly used in our energy generation. Therefore, it is essential to have a good PV testing facility during the development process. The PV emulator (PVE) is a voltage or current source that mimic the current-voltage characteristic as a PV module that requires proper control strategy to work. The resistance feedback method (RFM) control strategy has many good attributes, except the transient response, which is caused by the proportional-integral (PI) controller. This paper proposed a new fuzzy logic PI (FLPI) controller to improve the transient performance of the RFM PVE. It is based on the error adjustment method that founded on the transient state and load of the PVE. The performance of the proposed PVE is compared with the original PVE that used RFM with the PI controller. The finding of the research shows that the transient performance of the proposed PVE has improved 2.3 times compared to the original PVE without affecting its accuracy.
Roof top PV for charging the EV using hybrid GWO-CSA
Authors: Selvaraj Dhamodharan , Rangasamy Dhanalakshmi
Published: May 2022

In this paper, a novel idea of charging the vehicle on the go while using the solar panels on the roof of the vehicle is introduced. The use of electric vehicles has increased among people as the vehicles are affordable. Electric vehicle charging is one of the major problems faced by most manufacturers today. The PV panels take the energy from sunlight, and it can charge the vehicle battery. When the vehicle is moving on the road, the power extraction for charging may not be proper due to the partial shaded condition. To extract sufficient power for charging, a hybrid optimization algorithm has been introduced. In this paper, an electric vehicle model that uses the hybrid optimization algorithm of grey wolf optimization and cuckoo search algorithm (GWO-CSA) is developed and compared with the conventional particle swarm optimization (PSO) algorithm. The extraction of maximum power and the performance of the vehicle are analysed using MATLAB/Simulink, and the simulation results are discussed. To test the effectiveness of the algorithm, it is compared with the other three algorithms.
Simulation of adaptive gain control via 2-D lookup table for isolated hybrid micro-grid system
Authors: Mahdi Mazin Mustafa , Thajeel Ekhlas Mhawi , Ahmad Abu Zaharin
Published: May 2022

This paper presented a smartness 2-D lookup table (2-DLT) control by means of adaptation gain to develop a frequency controller and facilitate the power-sharing requirements in an isolated micro-grid system. This intelligence of an expert controller adopts the scale of adaptation gain for estimating control design. Synchronous power generators are commonly used to provide power to distant and isolated regions where grid expansion is expensive due to economic and technical constraints. Load frequency control (LFC) technology challenges to guarantee the reliability and stability regarding the system. It is known that conventional control methods are unreliable due to frequency variation and sudden changes in the load or failure generation. Traditional control and criteria may not be appropriate for the new structural networks, such as micro-grid. In this work, the performance of the proposed 2-DLT controller is examined and compared to the classical proportional integral (PI) controller and artificial neural network (ANN). The simulation system is implemented and tested using MATLAB/Simulink.
A comparison between six-step and sine-wave commutation methods for brushless direct current motors
Authors: Al-Faruq Hilmi Yafi , Septanto Harry
Published: May 2022

This research is focused on the design and implementation of an electronic circuit for commuting a brushless direct current (BLDC) motor and its data acquisition system, as well as conducting experiments on them. We propose a drive circuit using two modules, each consist of a dual H-bridge, that are cheap and can be easily obtained. Two different commutation methods, namely six-step and sine-wave commutations, are applied. Each of these implements a different way for its open-loop speed control, i.e., a voltage-controlled-current-source is implemented along with the six-step commutation and the step duration approach is implemented along with the sine-wave commutation. The experiment data are acquired using a developed desktop application. Some experiment results lead us to find that, on its own, both commutation methods have a narrow range of speed. Nevertheless, if both methods are used together, this range can be increased. Also, the relation between speed and its controlling signals for both methods are shown.
Robust control of wind turbine based on doubly-fed induction generator optimized by genetic algorithm
Authors: Elmouhi Noureddine , Essadki Ahmed , Elaimani Hind
Published: May 2022

In this research paper we will cover the study of the modelling and the control methods of the variable speed wind turbine based on doubly-fed induction generator (DFIG). It represents the most stressed structure given its distinctive characteristics. To control the electrical powers generated by this system independently, the vector control with the stator flux orientation is founded according to two techniques: i) the control of the powers by the backstepping technique and ii) the robust control based on the active disturbances rejection control. After the synthesis of the controllers of those two methods, their performances will be tested and compared to evaluate their effectiveness. We are mainly interested in the robustness test of the two control strategies with respect to the internal parameters’ fluctuation of the generator. The computing of the different parameters regulators of these two strategies is carried out using a genetic algorithm. This computing method makes it possible to arrive at an optimal solution of the DFIG power control. The different parts are simulated using MATLAB/Simulink environment.
Comparison between matrix and back-to-back converter in flywheel energy storage systems
Authors: Do Nguyen Hung , Ho Sy Manh , Le Quoc Tuan , Hoang Tung , Tran Trong Minh , Vu Phuong
Published: May 2022

Flywheel energy storage systems (FESS) are considered as the grid integration of renewable energy sources due to their buit-in advantages such as fast response, long cycle life and flexibility in providing auxiliary services to the grid, such as frequency regulation, and voltage support. This paper introduces the structure and comparison results of matrix converter and back-to-back converter which integrated with axial flux permanent magnet motor (AFPM) in FESS. Two converters are functionally equivalent in terms of input power quality and energy regeneration capabilities but need to be compared in terms of performance testing with speed response. In this paper, the research results have been verified that matrix converters perform more effective than back-to-back converters.
Salp swarm algorithm based optimal speed control for electric vehicles
Authors: Potnuru Devendra , Ayyarao Tummala Siva Lova Venkata , Kumar Lagudu Venkata Suresh , Kumar Yellapragada Venkata Pavan , Pradeep Darsy John , Reddy Challa Pradeep
Published: May 2022

The paper is all about the implementation of a novel bio-inspired metaheuristic
salp swarm algorithm (SSA) for speed control of brushless DC
(BLDC) motor drive that is run in sensorless control mode. The angular
speed of the motor is evaluated using an extended kalman filter, in which the
dynamics of the motor are nonlinear. The error in speeds between actual and
estimated is fed to the PID controller. To achieve the good transient
operation of the motor drive, the parameters of the PID are tuned with the
SSA. The optimum PID gains are determined by the minimization of integral
square error and then final optimum gains are validated on the laboratory
testbed. The proposed method is also tested in various cases to check the
performance of the drive. The experiments are also performed at low speeds
to know the superiority of the proposed method.
The cascade optimal control of steer by wire system using hardware in the loop simulations
Authors: Hunaini Fachrudin , Nugroho Fressy , Suwandono Purbo , Subiyakto Gatot
Published: May 2022

This paper aims to further improve the performance of the control system on the steer by wire (SbW) of vehicle steering system, by presenting the development of optimal control system strategy for lateral motion and yaw motion which is arranged in a cascade so that the vehicle can always be maintained on the desired trajectory. The control system strategy to be developed is fuzzy logic control (FLC) as a lateral motion control and proportional integral derivative (PID) control as a yaw motion control, and to obtain an optimal control system, the modified-quantum particle swarm optimization (MQPSO) optimization method is used. The simulations are carried out using hardware in the loop simulations (HILS) which involve hardware, namely; motor stepper actuator and rotary encoder to determine and monitor the direction of the front wheels which are applied to the vehicle dynamics model in a real time. HILS test results show that vehicle movement can be maintained according to the desired trajectory (double lane change) with an average continues-root mean square (C-RMS) error of 0.015366 for lateral motion and 0.014967 for yaw motion, the average C-RMS error is greater 23.75% for lateral motion and 28.18% for yaw motion against the results of the software in the loop simulations (SILS) test.
Modified full bridge dual inductive coupling resonant converter for electric vehicle battery charging applications
Authors: Reddy Kondreddy Sreekanth , Veeranna Sreenivasappa Bhupasandra
Published: May 2022

In this paper, a modified full bridge dual inductive coupling (LCL) resonant converter for electric vehicles (EVs) battery charging applications is proposed. The main objective of the proposed topology is to operate the converter in constant voltage (CV) and constant current (CC) mode during battery charging. The presented topology's uniqueness comprises the following: i) isolated charging and power factor correction (PFC), ii) to achieve zero-voltage switching (ZVS) and zero-current switching (ZCS) for inverter switches, iii) reduction of number of rectifier diodes to reduce the conduction and switching losses, and iv) reducing the magnetizing current. The output voltage dependence of resonant converter is reduced using a PFC converter against the variations of the alternating current (AC) grid input voltage. The variations of the wide range output voltage and load is compensated by a small variation in switching frequency. The proposed topology's detailed operation is simulated using the MATLAB/Simulink tool.
Motion control of linear induction motor using self-recurrent wavelet neural network trained by model predictive controller
Authors: Jaber Fatimah Fadhil , Shary Diyah Kammel , Alrudainy Haider
Published: May 2022

Due to end effects phenomena that cause a decrease of air-gap flux and thrust force, obtaining a precise velocity for a linear induction motor (LIM) has become a significant challenge. This study suggests implementing a novel controller based on a self-recurrent wavelet neural network (SRWNN) and model predictive controller (MPC) to regulate the velocity and thrust force of LIM. The MPC was used to train the SRWNN in this study. The ultimate goal of employing such a control approach in neural network training is to reduce the degree of uncertainty caused by changes in motor parameters and load disturbance. The indirect field-oriented control (IFOC) approach was used to investigate velocity and flux control under varied loading circumstances. Furthermore, to supply the required LIM stator voltage, a SVPWM dependent voltage source inverter was used in this work. To ensure reliable performance, the suggested system combines the benefits of neural networks with the MPC method, resulting in a versatile controller with a basic construction that is easy to accomplish. The MATLAB package is utilized to simulates and outputs LIM responses. The results confirm that the proposed method, which efficiently controls the velocity and thrust force of the LIM, can cope with changes in load force disruption and motor parameters.
Design a photovoltaic simulator system based on two-diode model with linear interpolation method
Authors: Thai Lam Quang , Anh An Thi Hoai Thu
Published: May 2022

For an effective study of photovoltaic (PV) systems, precise current-voltage (I-V), power – voltage (P-V) curves of photovoltaic modules are required. However, conducting experiment on real panels faces with many difficulties such as needing large space, high cost, objective conditions of the environment. Therefore, it is essential to research an emulator producing the I-V, P-V characteristics of a PV system the same as those conducted on a real PV panel. This paper presents a two–diode model simulation replacing a photovoltaic panel to export precise current-voltage (I-V), power – voltage (P-V) curves based on the linear interpolation method. The proposed simulator shows many advantages of subjecting to changes in radiation and temperature. The accuracy of the emulator has been not only verified by the simulation results on Matlab software, but also evaluated, compared with the experiment model. The simulation results have coincided with the experimental ones, the output error of less than 4% is shown in the experiment.
Energy management of renewable energy sources incorporating with energy storage device
Authors: El-sayed Ehab Issa , Al-Gazzar Mohamed Mohamed , Seif Mohammed Shehata , Soliman Ahmed Mohamed Attia
Published: May 2022

The best solution to exploit renewable energy sources (RES) together is by using the application of microgrid (MG). This indeterminate of resources such as solar panels, wind farm, diesel generator, and battery storage system paired with load profile result in random changes within the generation and the load phases, which create it is challenging to properly manage an MG. Due to this problem energy management technique for real-time scheduling of an MG takes into consideration the uncertainty of load demand, renewable energy, and electricity price are proposed. In this paper, linear programming with two methods (optimized problem and solver based) of dual-simplex are suggested to tackle the energy management issue of the renewable microgrid. The simulation is done in each method using four cases fast wind speed with clear solar irradiance, fast wind speed with cloudy solar irradiance, slow wind speed with clear solar radiation, and slow wind speed with clear solar irradiance. The result showed that the first and second cases in the first method are higher cost than the two corresponding cases in the second method. In addition, the third and fourth cases in the first method are lower cost than the two corresponding cases in the second method.
Analysis of dust on the parameters of PV module and design of an effective solar dust cleaner
Authors: Pradhan Arjyadhara , Panda Babita , Nanda Lipika , Jena Chitralekha
Published: May 2022

Photovoltaic panel output is affected by various factors like solar isolation, temperature, dust, shading, mounting. Among all these factors dust is a prominent factor which greatly reduces panel efficiency. With increase in the quantity of dust both efficiency and power output of the module reduces. As the mass of dust deposition increases, power output and the efficiency of the module decreases. Dust particles are of different shapes and sizes. PV panels installed on ground or roof top are subjected to dust all the time. The amount and type of dust deposition depends on tilt angle, locations, surroundings nearby, rainfall pattern of that area, maintenance method of the installer. PV plant nearby any industry giving out lot of fumes and smokes will have heavy dust deposition over its top surface. Similarly, PV plants located near areas where roads are not concrete can cause dust deposition on its panels. Manual maintenance is labor costing and less efficient. In this work we have performed dust analysis on the performance of PV panel and designed an effective method to clean the panel and make it dust free. Solar dust cleaner and cooler system provides a solution for both dusts cleaning and keeping the panels at less temperature.
A tracking control design for linear motor using robust sliding mode learning control
Authors: Al-nasrawi Mukhalad , Al_Ghanimi Ali , Mashkor Alaa Abdalhussain Aldahlemi
Published: May 2022

 

In this paper, a tracking robust sliding mode learning control (SMLC) is proposed for a linear motor (LM) system. The proposed controller approach, SMLC, can guarantee a zero tracking error in the absence and presence of system uncertainties of the LM system. Unlike other classical sliding mode control (CSMC), the proposed control system is designed without any prior knowledge of the system perturbation which would facilitate control design and simplify its practical applications. To this end, a recursive learning technique is used which simultaneously adapted based on the previous information of the closed loop system stability. The system stability and convergence analysis are rigorously proved in the sense of the Lybenouve criteria. Finally, simulations results are presented to demonstrate the validity and effectiveness of the SMLC over the CSMC in terms of tracking performance and chattering alleviation.
Três Exemplos
Authors: Schaden Egon
Published: May 2022

CapítuloII: Aspectos e problemas etnológicos de uma área de aculturação intertribal : o Alto Xingu; Capítulo III: fases da aculturação religiosa dos Guarani;Capítulo IV: Persistência e mudança da cultura Tenhtehára
Restrictions on Indexicals in Directive Clauses
Authors: Pak Miok , Portner Paul , Zanuttini Raffaella
Published: May 2022

We discuss the existence of a set of previously unnoticed restrictions on indexicals. Specifically, some indexicals are ruled out and others cannot freely occur in two clause types that have directive force but are distinct from canonical imperatives. These restrictions suggest that these clause types are interpreted with respect to a context that is “deficient” in some sense, or that they lack some syntactic structure needed to license these indexicals. Thus, the patterns of data we present have the potential to significantly affect the understanding of indexicality and clausal architecture.
Accused of infanticide
Authors: Monballyu J.
Published: May 2022

In Belgium, from 1796 until 1867, infanticide was a crime which was legally defined as the deliberate homicide of a new-born child and punished with the death penalty. In the province of West Flanders, for a long time the second most populous province in Belgium, this crime was strongly women-related. As in the other Belgian provinces and abroad, this crime was mainly committed by unmarried domestic servants who lived with their employer and with whom there was no time nor a place for a mother with a child. Infanticide was a crime that was prosecuted before the Court of Assizes of West Flanders and its predecessors. Such prosecutions happened rather exceptionally (109 people in all were prosecuted in West Flanders over a period of 70 years, i.e. an average of 1.5 per year), albeit in a steadily increasing line and with a peak during the years 1850-1867. The Court of Assizes punished this crime only very exceptionally with the statutory death penalty (only in 34 cases, i.e. 31% of the 109 accused). The other 75 accused were either acquitted (58 cases, i.e. 53% of the accused) or punished for another offence (17 cases, i.e. 15.5% of the accused). The acquittals and the punishments for another offence were not the result of the jurors’ or professional judges’ inclination to accept the puerperal insanity of the accused women, but a consequence of the fact that it was exceedingly difficult to prove that a child had been born viable, had lived independently of the mother for a while, and had been killed with the clear intention of killing it, when the child’s mother had given birth without assistance and claimed that the child had been still-born or died from a natural cause.
Creditor fructus percepit, Sul pegno con patto anticretico
Authors: Perani R.
Published: May 2022

Creditor fructus percepit, On pledge with a pactum antichreticum. – May the pledgee take the benefits of the res? Pledge did not allow it, there would have been theft (furtum usus). In fact, the thing given as pledge was excluded from any economic use. However, Roman law attests an agreement called ἀντίχρησις, which allowed the creditor to have the fruits of the res, under some conditions. Among the jurists only Marcianus uses this Greek term (in D.13,7,33 and D.20,1,11,1).

In this paper, I wish to demonstrate that the antichresis has become part of Roman legal thought. The legal sources attest a late appearance of the antichresis (very late 2nd and early 3rd century AD), but some Severian constitutions suggest that it may already have been known in practice. The Greek word indicated its foreign origin, but Roman jurists called it simply pignus.