bluuebunny/crossref_metadata_2025 huggingface dataset:
Aqueous Leaf Extract of Duranta repens Promotes Seed Germination and Seedling Growth of Salinity-Stressed Solanum lycopersicum Seedlings.
Authors: Osineye Shuaib olasupo
Published: July 2021

Aqueous extract of Duranta repens leaves was investigated for its allelopathic effect on Solanum lycopersicum seedlings germinated and grown under salinity condition. The study was carried out using both laboratory petridish and pot assays to simulate the plantâ€™s immediate environmental conditions. The experiment consisted of 5 groups (1-5) each containing 4 replicates (of 10 seeds). Group 1 was treated with distilled water; Group 2 was treated with 5 mM NaCl; Group 3 was treated with Duranta repens aqueous leaf extract, Group 4 was treated with a mixture of 5 mM NaCl and the extract (2:1 v/v) and Group 5 was treated with a mixture of 5 mM NaCl and the extract (1:2 v/v). Results from the studies revealed that treatment with NaCl caused significant (p < 0.05) reduction in percentage germination and growth parameters (plumule and radicle lengths) of S. lycopersicum seedlings, when compared to those treated with distilled water and D. rupens aqueous leaf extract. NaCl treatment (Group 2) also caused an increase in malondialdehyde (MDA) and also increased the activities of superoxide dismutase (SOD) and catalase (CAT) while reducing chlorophyll concentration of the plants. However, in the presence of the extract, the adverse effects of the NaCl were attenuated, implying that the extract improved tolerance of S. lycopersicum seedlings. In conclusion, the findings of this study indicate that the constituents of the extract may play a positive role in plant survival under saline conditions and could be employed in the management of soil salinity problem in agriculture.
Pelayanan Primer yang Berkualitas: Sebuah Tinjauan Literatur
Authors: Hendrawan Donni , Nurcahyo Chandra , Afdal Andi
Published: July 2021

Penguatan pelayanan kesehatan primer telah digaungkan sejak lama oleh para pemangku kepentingan dalam rangka meningkatkan efektivitas dan efisiensi pelaksanaan Program Jaminan Kesehatan Nasional. Namun demikian, implementasinya belum optimal. Salah satu tolok ukurnya adalah performa FKTP yang masih belum sesuai dengan target yang ditetapkan. Penelitian ini bertujuan untuk memberikan saran dan rekomendasi guna mewujudkan pelayanan kesehatan primer yang berkualitas. Penelitian ini menggunakan pendekatan kualitatif dengan teknik pengumpulan data desk research (secondary data), serta proses triangulasi untuk memastikan validitas dan reliabilitas data yang digunakan. Temuan penting dalam penelitian ini adalah secara umum Indonesia belum memiliki tata kelola yang komprehensif dalam setiap aspek yang termasuk dalam mata rantai penting yang diperlukan untuk menentukan kualitas pelayanan kesehatan primer. Oleh sebab itu, dibutuhkan pembenahan secara bertahap dan berkesinambungan yang dilakukan secara bersama-sama oleh seluruh stakeholder terkait.
Did The Horizontal Referral Policy in Indonesia Create Cost Savings?
Authors: Darmasurya Aditya , Anindita Rahma , Ikhda M Candra
Published: July 2021

Background: In Indonesia, the referrals to hospitals by Primary Care Providers (PCPs) is high. In 2018, more than 15 per cent of patients visiting PCPs were referred to hospitals, while the cost for outpatient visits reached 51.2 trillion rupiahs. As of September 2019, Indonesia’s Body of Social Security for Health of Indonesia (BPJS Kesehatan) enacted a horizontal referral policy. PCPs will refer patients to other PCPs with more resourced facilities. Objectives: To assess the impact of horizontal referral on hospital outpatient visits and how cost savings were made. Methods: This study is a non-experimental big-data analysis by observational descriptive method. Results: Data results were classified into two groups in order to separate data analysis affected by external COVID-19 pandemic factors. Group I consisted of data from September to December 2019 and group II consisted of data from January 2020 to October 2020. In data Group I, a total of 8.140 cases were referred horizontally and not referred to hospitals. Referral ratio decreased from 16,50% prior the policy enactment to 15,71% in December 2019. In data Group II, horizontal referral showed an increasing trend from January to October 2020 with 56.875 total cases being referred among primary care providers. Cost savings from September 2019 to October 2020 reached 25.891.347.236 rupiahs. Conclusions: The horizontal referral policy in Indonesia reduced the number of patients referred to hospitals, hence creating cost savings. It proposes collaboration among primary care providers, thus controlling unnecessary referrals to hospitals.
Pelayanan Prima Sebagai Upaya Pencapaian Loyalitas Peserta Program Jaminan Kesehatan Nasional
Authors: Imam Rhamdani Nur
Published: July 2021

Jaminan Kesehatan Nasional (JKN) adalah suatu program yang diselenggarakan badan nonprofit yang independen, yang mana pembiayaan jaminan kesehatan dibayarkan dari iuran peserta. Badan Penyelenggara Jaminan Sosial (BPJS) Kesehatan adalah badan yang ditunjuk secara resmi untuk menyelenggarakan program JKN tersebut. Sebuah program jaminan sosial yang dalam perkembangannya memiliki perkembangan pesat dengan pencapaian kepesertaan sebanyak 70% dari total populasi hanya dalam jangka waktu 4 tahun. Perkembangan yang pesat dari program JKN tidak menutup adanya kekurangan yang ada, seperti kurang berkembangnya sistem pengelolaan data dan sistem pengelolaan informasi kesehatan yang berdampak pada tidak efektif dan tidak efisiennya pelayanan. Oleh karena itu, dibuatlah penelitian ini untuk mengukur sejauh mana respons peserta terhadap pelayanan administrasi peserta di kantor cabang dalam dimensi multi-RATER. Hasil penelitian menunjukkan respon positif dari peserta dengan nilai rata-rata dimensi tertinggi sebesar 94% pada dimensi Empathy. Dari hasil pengukuran tersebut diharapkan kedepannya melalui pembenahan pelayanan dapat diwujudkannya peserta yang loyal.
Penerapan Metode Lean Six Sigma Dalam Upaya Rekrutmen Peserta PPU Badan Usaha: Study Kasus Proses Telemarketing Kantor Cabang Jakarta Selatan
Authors: Wijaya Teguh , Wiramijaya Fanny , Rahmania Annisa , Oktaviani Silvia
Published: July 2021

Pandemi covid-19 selama tahun 2020 membuat capaian peserta khusus segmen Pekerja Penerima Upah (PPU) mengalami penurunan, khususnya di kantor cabang Jakarta Selatan.Penelitian ini bertujuan untuk mengetahui dampak penerapan metode Lean Six Sigma dalam proses rekrutmen badan usaha di Kantor Cabang Jakarta Selatan penelitian kualitatif dengan data yang diperoleh berdasarkan pengamatan atau observasi, hasil wawancara, hasil pemotretan dilapangan, analisa dokumen dan catatan atau laporan dengan jenis penelitian kualitatif bersifat induktif, Metode Define, Measure, Analyze, Improve dan Control (DMAIC) digunakan dalam penelitian ini dengan hasil penerapan metode Lean Six Sigma dapat meningkatkan proses kegiatan rekrutmen peserta. Dari hasil penelitian yang didapat bahwa metode DMAIC terbukti dapat meringkas proses dan meningkatkan capaian peserta melalui telemarketing sebanyak 5.962 peserta. Penelitian ini selanjutnya diharapkan dapat digunakan untuk meningkatkan capaian kerja di bidang lainnya seperti kepesertaan, SDM umum dan pelayanan faskes.
O TEXTO ORAL EM SALA DE AULA
Authors: GOMES VIDAL DE OLIVEIRA ALEXSANDRA
Published: July 2021

Este artigo tem como tema ´´o texto oral em sala de aula`` no ensino fundamental, pois a oralidade está presente em inúmeras situações dentro e fora do espaço escolar, e mesmo assim o trabalho com o texto oral ainda é limitado. É necessário regulamentar atividades que propiciem condições espontâneas da prática de ensino destes textos em sala. O trabalho com o gênero oral pede um planejamento de atividades sistemáticas e também um acompanhamento que possibilite verificar o desenvolvimento da proficiência das habilidades com os alunos. Assim, o trabalho com esse gênero textual é direcionado ao o projetar do sentido ao texto para outras vivências e outras realidades e é também o relacionar das informações do texto no conhecimento cotidiano. É no praticar da oralidade e da leitura de diferentes textos e na interpretação que o aluno vai reconhecer a importância da Língua Portuguesa como código linguístico oral e escrito. Os objetivos desta pesquisa foram os de: refletir sobre a importância de se trabalhar a oralidade em sala de aula; identificar as metodologias que possam contribuírem com trabalho do texto oral em sala de aula. Este trabalho é de cunho bibliográfico e os resultados obtidos neste artigo nos mostram a importância de se trabalhar com a oralidade em sala de aula e os seus desafios.
A IMPORTÂNCIA DA AVALIAÇÃO NA EDUCAÇÃO
Authors: DA COSTA GOMES ELIANA
Published: July 2021

O presente estudo tem como temática a avaliação na educação, em que visa analisar as diversificadas metodologias que possam contribuir para o processo avaliativo. Abordam-se quais são os métodos avaliativos mais utilizados nesta modalidade de ensino. O principal objetivo do artigo é analisar a prática pedagógica adotada pelo professor ao avaliar, visando quais as contribuições que este tipo de avaliação proporciona ao educando. Com base na pesquisa bibliográfica o trabalho aborda diversificados pontos de vista de autores que compreendem a avaliação como instrumento primordial no processo de ensino aprendizagem, demonstrando a importância da sistematização da aprendizagem e analisando aspectos como aprovação, reprovação, regresso e avanço escolar, bem como refletindo sobre as metodologias e práticas de ensino relativas ao desenvolvimento escolar.
A LUDICIDADE DA ARTENA EDUCAÇÃO INFANTIL
Authors: VIEIRA DE SOUZA KELIA
Published: July 2021

Criatividade e Arte tornam-se um princípio unificador da Educação, tece considerações sobre a Arte que chega ao ser humano por diversos meios, não apenas por meio do cognitivo, e isso desperta variadas possibilidades de expressão, não apenas oral e, com tantas crianças ao seu redor, nem sempre o professor consegue estar atento o suficiente para acolher e estimular a expressão individual da criança. Ludicidade define a ludicidade como vivência interna, sendo a experiência sua plenitude, a integração do sentir, pensar e agir estão presentes na realização das atividades. A Arte precisa instigar o brincar, a ludicidade como ponte de estímulo para que as informações sejam sentidas e experimentadas para que o conhecimento seja eficaz e contínuo. A educação não nos molda, somos seres históricos, pessoal e cultural, determinado pelo tempo e espaço em que vivemos. Gerando um repertorio individual, um conjunto de valores, filosofias, ideologias, éticas, estéticas, política, cultural, conceitos, ideias, sentimentos e emoções que tecem redes significativas a nós. Educação Infantil se configura em um espaço com inúmeras possibilidades de abertura à vivência da ludicidade já que o brincar, jogar, contar histórias, dramatizar, fazer de conta é próprio do fazer pedagógico com crianças nessa faixa etária. Entretanto, quando a rotina das atividades que envolvem o cuidar se sobrepõe ao trabalho criativo do professor, diminuindo a autoria docente, algo se perde no processo educativo. A ludicidade da Arte na Educação Infantil recria o palco da criatividade e Arte, tornando-se um princípio unificador da Educação, tece considerações sobre a Arte que chega ao ser humano por diversos meios, não apenas por meio do cognitivo, e isso desperta variadas possibilidades de expressão, não apenas oral e, com tantas crianças ao seu redor, nem sempre o professor consegue estar atento o suficiente para acolher e estimular a expressão individual da criança.
EDUCAÇÃO INFANTIL DE QUALIDADE
Authors: SMOKOVITZ PRISCILA
Published: July 2021

Educação infantil de qualidade parte do princípio de uma educação de direitos e deveres, de promoção do bem-estar da criança e do ambiente na qual está inserida. Educação de qualidade deve oferecer subsídios para que as crianças se desenvolvam em diferentes habilidades. No brincar, a criança troca experiencias, adquire habilidades, desenvolve sentidos, adquire troca de aprendizagens, com o outro e com o meio na qual é inserida. Afim de qualificar a educação infantil, nesse estudo estabelece, tópicos, que contribuem para que o aprendizado seja constante e em todos os aspectos principalmente a necessidade de atentar-se aos detalhes de cada etapa, e nota-se a importância de agregar cada aspecto a fim de contribuir com a ampla capacidade de desenvolvimento de cada criança. Faz-se necessário espaços, materiais pedagógicos e equipamentos, para desenvolver e ampliar a habilidade infantil, avançar com políticas educacionais, promover a importância do desenvolvimento infantil e capacitar os profissionais envolvidos nesse processo. E para que tudo isso se estabeleça, a formação continuada, a escuta ativa, a percepção, observação e registro do professor de que ser constantemente reflexivo. E a diretriz para executar com extrema qualidade todos os aspectos, é construção de vínculos, quebras de paradigmas pré-estabelecidos e busca ativa de caminhos interativos.
Simulation in Architecture: Scope of Urban Developments
Authors: Mouri Fauzia Rahman , Rahman M.Tawfique
Published: July 2021

Simulation based architecture is the new way of understanding post design phenomena. Mostly in the urban areas, how changes take place is a matter of pondering, where simulation may come to aid. Through simulation we can predict a possible outcome of a certain solution through testing it in computer generated scenarios. The main concern of this paper is to find out through intervention of infrastructure how an urban condition may occur. In this paper a particular existing urban infrastructure has been selected to make specific changes and then setting with parameters the case has been put in to the algorithm to test the results. The results came as different scenarios with the change of inputs. For the study, the river Buriganga, beside the capital city of Bangladesh, Dhaka has been chosen and in different scenarios the outcome of a mega city has been mapped showing what a change in an existing infrastructure may bring.
Design and Performance Measurement of a Miniaturized Implantable PIFA Antenna for Biomedical Applications
Authors: Islam Nasim Al , Arifin Farhadur
Published: July 2021

An implantable PIFA (Planar Inverted F Antenna) antenna for biomedical applications is proposed in this study. The main notability of this design refers to its subtle dimension, flexibility and subordinate thickness that makes it perfectly suitable for implementing inside human or animal tissues for Wireless Body Area Networks (WBAN). The antenna is aimed to operate in the Industrial, Scientific and Medical (ISM) band (2.4–2.4835 GHz). The thickness of this antenna is only 0.735 mm, which implies that this antenna is suitable to perform under bent conditions. The antenna offers a compact design with a dimension of 9.48 mm × 7.8 mm × .735 mm (54.348 mm3). Copper and Rogers R03010 are chosen as the patch material and substrate material accordingly. The antenna is encapsulated inside biocompatible material Rogers R03010 for safety concern inside skin or muscle tissues. Several types of analysis and performance measurement of this antenna have been done by using CST Microwave studio in both planar and bent conditions by maintaining the electrical properties of human skin tissues. Specific Absorption Rate (SAR) and thermal loss are evaluated to comply with the antenna safety issues. For proving biocompatibility and versatility of this antenna, performance analysis by changing different patch materials and substrate materials have been done after putting the antenna inside different human tissue models. Finally, the antenna is fabricated on to a FR4 substrate and its performance is measured using Agilent Technologies E5071C Network Analyzer.
Analysis of the Veracities of Industry Used Software Development Life Cycle Methodologies
Authors: Chowdhury AZM Ehtesham , Bhowmik Abhijit , Hasan Hasibul , Rahim Md Shamsur
Published: July 2021

Currently, software industries are using different SDLC (software development life cycle) models which are designed for specific purposes. The use of technology is booming in every perspective of life and the software behind the technology plays an enormous role. As the technical complexities are increasing, successful development of software solely depends on the proper management of development processes. So, it is inevitable to introduce improved methodologies in the industry so that modern human centred software applications development can be managed and delivered to the user successfully. So, in this paper, we have explored the facts of different SDLC models and perform their comparative analysis.
320 Channel Optically Amplified 1550 nm Light wave Directly Modulated CATV Transport System Performance Improvement Using Optical Injection Technique
Authors: Hossain Tanvir , Islam Tadbirul , Uddin Mohammad Nasir
Published: July 2021

This paper proposed and successfully demonstrated 320 channel optically amplified 1550 nm light wave directly modulated high channel density CATV transport system. The optical injection technique increases the photon density of the modulation section and improves the overall performance of the fiber optical CATV system. Designed network demonstrates the improvement of transmission distance and channel density. Good performance in terms of output power, Composite Triple Beat (CTB), Signal to Noise Ratio (SNR), Composite Second Order (CSO) and Carrier to Noise ratio (CNR) has been observed by utilizing optical injection technique. Almost about 74 dBm Composite Second Order (CSO) has been achieved by utilizing 14 dBm optical injection techniques.
Surface Plasmon Resonance Biosensor in Healthcare Application Using Kretschsmann & Otto Configuration
Authors: Alim Nusrat , Uddin Mohammad Nasir
Published: July 2021

In this study, a planar D-shape optical fiber sensor based on Surface Plasmon Resonance phenomenon using two different excitation methods has been demonstrated. The proposed bio-sensor uses Amplitude-Wavelength hybrid detection technique to determine the change in urine refractive index that depends on resonance parameters. The analysis employs finite element method to investigate the optical properties of the proposed sensor. From the results it can be evident that Otto configuration offers greater amount of reflected light intensity dip for a particular urine refractive index in comparison with Kretschmann configuration. For an example, for Otto configuration the dip of reflected light intensity measured in terms of reflectance which attains a value 0.5 for ns (urine refractive index) of 1.489 while Kretschmann configuration provides a dip of 0.65 for the same value of ns. Results also show that the sharpness of reflectance is comparatively higher for the sensor using Otto configuration in comparison with Kretschmann configuration in case of wavelength interrogation. Thus, Otto configuration offers better performance in comparison with Kretschmann configuration.
Design & Simulation of Fuzzy Logic Based Speed Control of SPWM Inverter-fed Electrical Vehicle with Induction Motor taking Core loss and Stray Load Losses into Account
Authors: Nahar Sadia , Hassan Md. Kamrul , Mannan Mohammad Abdul
Published: July 2021

In modern technology electrical differentials to design Electrical Vehicle (EV) are getting popular for its simplicity, faster response, accurate control capability and other facility. The controller design for the distinctive motors is a captivating and challenging work to acquire sought execution appropriately. For this different kind of controller is used to get accurate results. For Induction Motor (IM) it is very important to control the speed and torque to get smooth control application. Field Oriented Control (FOC) aids the factor and empowers independent control of speed and torque by building up an autonomous relationship is created due to consideration of core loss and stray load losses while modeling Induction Motor which is neglected at most of the works. Here, Induction Motor is modeled with the Fuzzy Logic Controller for more accuracy and simplicity and the Sinusoidal Pulse Width Modulation (SPWM) is utilized as a part of the structure to investigate the performance of IM under various source parameters such as diversity of voltage, frequency and so forth. MATLAB/Simulink is used to execute the simulation results.
Classification of Power Quality Disturbances using Mahalanobis Distance Classifier and Stockwell Transformation
Authors: Bhuiyan Md. Jashim Uddin , Alam Mollah Rezaul
Published: July 2021

Detection and classification of PQ (Power Quality) disturbances in distribution/transmission systems are very important for protection of electricity network. Most of the disturbances of power network are non-stationary and momentary in nature, hence it requires advanced tools and techniques for the analysis and classification of PQ disturbances. This paper presents the detection and classification of PQ events or disturbances employing Stockwell-Transformation, known as S-Transformation, and Mahalanobis Distance (MD) based approach. The proposed method exploits only four features extracted through S-transformation of the voltage signal; then, using these four features, classification is conducted by MD based classifier. In this work, classification of several PQ disturbances, such as, voltage sags, swells, harmonics, notch, flicker, transient oscillation, momentary interruption, etc., are considered. The simulation results demonstrate that the proposed method is very effective and accurate in detecting and classifying PQ events. Validation of the proposed approach has also been conducted using real signal recorded in IEEE 1159.2 database. Moreover, comparative classification performance of MD based classifierwith MED (minimum Euclidean distance) and LVQ (learning vector quantization) reveals the superiority of the proposed approach.
Design and Simulation DFIM Driven Electrical Vehicles Based on IP Controller
Authors: Zubair Al-Mayhedee , Mannan Mohammad Abdul , Tamura Junji
Published: July 2021

The environment friendly blessings of Electrical Vehicles (EV), human beings are becoming extra involved in the use of them alternatively than the usage of mechanical differentials. In electrical vehicles distinct sorts of electrical machines are used among them DFIM is used in this work. The challenging work is to design of a controller as the output of the motor has to match with vehicle input. So, far, most of the mentioned works have utilized Proportional-Integral (PI) controllers as the speed control. But, the negative aspects of PI controller are properly known, as its design depends on the specific motor parameters and the overall performance is sensitive to system disturbances. The fundamental goal of this paper is to replace the conventional PI controller by means of an IP controller which is successful of dealing with exceedingly non-linear DFIM motor for high performance application in Electrical Vehicle. The effectiveness of designed IP controller of an electrical differential for an EV system is evaluated through Matlab/Simulink software. In simulation work different road conditions for EV are considered. After the simulation the designed controller is found to be strong for the speed control application of Electrical Vehicle.
Adaptive Fitts for Adaptive Interface
Authors: Hasan Sajib
Published: July 2021

Adaptive interface would enable Human Computer Interaction apply machine learning to cope with human carelessness (mistakes), understand user performance level and provide an interaction interface accordingly. This study tends to translate the theoretical issues of human task into working model by investigating and implementing the predicting equation of human psychomotor behavior to a rapid and aimed movement, developed by Paul Fitt in 1954. The study finds logarithmic speed-accuracy trade-off and predict user performance in a common task “point-select” using common input device mouse. The performance of user is visualized as an evidence and this visualization make a valuable step toward understanding the change required in user interface to make the interface adaptive and consistent. It proposed a method of calculating the amount of change required through learning; add extension to the theory of machine intelligence and increase knowledge of Fitts applicability in terms of machine learning.
Optimum charging scheme of Electric Vehicle (EV) battery
Authors: Fattah Abdul , Khan Abdul Goffar
Published: July 2021

Tubular plate lead acid deep cycle batteries are becoming more and more popular in Bangladesh to run electrical vehicles. A China made low cost charger is commonly used to charge these batteries which takes approximately 10 hours to full charge. In this paper, comparative results of charging EV tubular battery using conventional charger as well as Universal Battery Tester (UBT) have been reported. Total 8 different types of charging methods have been tested and different parameters like temperature rise, change of specific gravity of the electrolyte in the battery, variation of voltage and current, stored Ampere-Hour etc. have been observed. Thereby a comparatively quick charging method has been proposed which can ensure less temperature rise and therefore better efficiency and longer battery life.
Performance Evaluation of Meander Line Implantable Antenna integrated with EBG Based Ground for Anatomical Realistic Model
Authors: Sultana Sadia , Basak Rinku
Published: July 2021

A unique design and meander line implantable antenna is examined in this paper which satisfies the requirements of ultra-wide band. The designed antenna is integrated with the electromagnetic band gap (EBG) structure based ground plane to enhance the performance. Rectangular electromagnetic band gap (EBG) structures are represented here to evaluate the antenna performance. This compact and efficient MLA antenna is applied to improve the antenna performance for numerous implantable scenarios and biomedical applications. The proposed antenna with EGB ground plane is designed for both the simplified model and anatomical realistic models for the human body and executed the performance in bio-environment. To approve the results of implantable antennas more correctly, simulation is analyzed using anatomical realistic human models. The ultimate design has the whole dimension is 15.2 x 8.8 m2. The thickness of the antenna is about 0.8 mm. FR4 is chosen as the substrate material and Copper is chosen as the patch material. The antenna is enclosed biocompatible material with silicon inside the tissue in order to protect patient safety. Significant parameters such as S11 parameter, Far field (radiation pattern), VSWR, Efficiency, Directivity, Gain of the proposed antenna have calculated and measured the performance both the simplified and realistic human models. Comparison Analysis of S11 parameter for different substrate materials and patch materials have observed. The radiation mechanism and modified design of the implantable antenna reducing Specific Absorption Rate (SAR) for safety issues. All the simulation results and measurements are obtained from CST Microwave Studio to validate the design.
Advanced Supervisory Control Plan with Power Saving Strategy for Demand Side Load
Authors: Meer Shadman Shafkat Tanjim , Md. Abdur Rahman , Ashrafun Nushra Oishi
Published: July 2021

Demand Side Power Management is getting crucial to control the gradual rise of electrical power usage day-by-day. Though, the spread of power saving devices is a huge success throughout the world, yet the demand side power management system have to be more efficient and controlled. Here, an unique power saving strategy was established by intranet based Advanced Supervisory Control system. The core system consists of XPSU, XCU, PBU, DS and ASC. Planning of this system has been done not only to solve the above-mentioned criteria but also to reduce huge electricity demand from national grid. To reduce the National Grid pressure, full utilization of renewable energy grid output is ensured in this strategy. By this Control Plan, maximum 31.9% of the instantaneous power has been saved by 11.11% of System-end ASC Switching. A new idea, Electrical Mapping is also introduced for every different load section; by which the load behavior and power consumption history of our different load site area can be understood.
Efficiency Improvement Analysis for Recent High-Efficient Solar Cells
Authors: Ashrafun Nushra Oishi , Meer Shadman Shafkat Tanjim , Ali M. Tanseer
Published: July 2021

The entire electricity demand of the whole earth, can be theoretically satisfied by harnessing the unlimited photon energy of the alpha source, the sun. Absorbing the solar power in a full efficient way is still on progress, due to the limitation of our solar cell technology. On commercial aspects, it is also promising but not up to the mark. Recent high efficient solar cell still leaves more space to improve the cell efficiency. On these circumstances, the use of Graphene, Multi-Junction Cells and Quantum Dot Cells will be helpful to increase the rate of recent research flow. This paper visualizes GaAs, InP, CdTe and Graphene implementations on four proposed basic models, which have showed a positive impact to overcome the losses and SQ limits. These models also postulate the maximization of the solar cell efficiency, omitting the corresponding losses along with maintaining the inter-junction relation suitably.
Performance Analysis of 16-Channel Hybrid WDM- CSRZ-DQPSK PON for Different Transmission Speeds and Distances
Authors: Uddin Mohammad Nasir , Bristy Irin Sultana
Published: July 2021

Sixteen channel wavelength-division-multiplexed passive optical network (WDM-PON) based on one Mach-Zehnder modulator and carrier suppressed return to zero differential quadrature phase-shift keying (CSRZ-DQPSK) transmitter is designed and evaluated for various bit rates (20 Gbps to 80 Gbps). The effect of changes in transmission distance with increased bit rate is also discussed and hence quality factors and bit error rates are analyzed to evaluate their performances. The relation between transmission distance, quality factor (Q factor) and bit error rate (BER) have been focused to determine optimized result.
IoT (Internet of Things) - Based Smart Garbage Management System
Authors: Bhowmik Abhijit , Miah Md. Saef Ullah , Mohaimen-Bin-Noor
Published: July 2021

IoT –internet of things has become a buzzword nowadays. There are many IoT based researches but researches on garbage management system based on IoT are not sufficient. Insufficient and inefficient garbage management system causes severe environmental problem. It also makes the air toxic. This problem has become a common problem in the world especially in Bangladesh. Dhaka city, the capital of Bangladesh lacks well organized and efficient garbage management system. Maximum roads of Dhaka city are surrounded by garbage. The bad smell of garbage affects people’s mental health, inhaling toxic causes many diseases. Lack of dustbins, throwing of garbage here and there, misuse of dustbins are making city life very unhealthy and also causes a threat to environment. The dustbins are being stolen or damaged which is also a great problem. In this paper, we proposed about an efficient garbage management system based on IoT. This research works aims to provide a minimal solution to this problem using the IoT technology. We propose for a smart garbage system, which consists of sensors, RFID, IR sensors, admin and user website, Wi-Fi module etc. These smart bins will monitor the level of garbage when it will reach 75% of its capacity, it will give notification to the admin website, so the authority concerned can collect the garbage from the bins timely and there will be no overflow of garbage as the authority will get notified earlier. There will be a feature in user website that will let the user know about the nearest smart garbage bins current condition, so if there is any condition that the garbage bin of their place is full they can use the nearest bin. This research work also aims to have secured smart garbage bins, as there is chance the bins to be stolen and damaged so in this research we talk about security of the sensors and the bins will have cement body. So this research is for implementing an efficient garbage management system which will reduce expense on this sector, misuse of bins. Making a clean country, pollution free environment with an efficient and well organized garbage management system can bring a new era. It is expected that the proposed garbage management system will reduce financial cost in this sector as well as reduce problems related to waste management.
Hybrid Power System Frequency Control including Wind Farm using Battery Storage System
Authors: Mondal Anannya , Hazari Md. Rifat , Mannan Mohammad Abdul , Tamura Junji
Published: July 2021

Fixed speed wind turbine-squirrel cage induction generator (FSWT-SCIG) based wind farm (WF) is increasing significantly. However, FSWT-SCIG have no frequency control capability, which creates a significant problem on power system steady-state stability. This paper represents a new operational strategy to control frequency of the entire power system including large-scale FSWT-SCIG based WF by using battery storage system (BSS). The proposed cascaded control of BSS is designed to provide effective amount of real power during steady-state period to damp frequency fluctuations. To evaluate the validity of the proposed system, simulation studies are executed on a reformed IEEE nine-bus power system with three synchronous generators (SGs) and SCIG-based WF along with BSS. The simulation results indicate that the proposed system can be an effective solution to reduce frequency fluctuations of the hybrid power system during steady-state condition.
An Automatic Traffic Rules Violation Detection and Number Plate Recognition System for Bangladesh
Authors: Shahrear Raian , Rahman Md. Anisur , Islam Atif , Dey Chamak , Zishan Md. Saniat Rahman
Published: July 2021

The traffic controlling system in Bangladesh has not been updated enough with respect to fast improving technology. As a result, traffic rules violation detection and identification of the vehicle has become more difficult as the number of vehicles is increasing day by day. Moreover, controlling traffic is still manual. To solve this problem, the traffic controlling system can be digitalized by a system that consists of two major parts which are traffic rules violation detection and number plate recognition. In this research, these processes are done automatically which is based on machine learning, deep learning, and computer vision technology. Before starting this process, an object on the road is identified through the YOLOv3 algorithm. By using the OpenCV algorithm, traffic rules violation is detected and the vehicle that violated these rules is identified. To recognize the number plate of the vehicle, image acquisition, edge detection, segmentation of characters is done sequentially by using Convolution Neural Network (CNN) in MATLAB background. Among the traffic rules, the following traffic signal is implemented in this research.
A Review Of Utilizing Shape Memory Alloy In Structural Safety
Authors: Hasnat Abul , Ahmed Safkat Tajwar , Ahmed Hafiz
Published: July 2021

Abstract- The advancement of material technology has paved the way for smart materials to emerge in the civil engineering sector. These smart materials possess the potential to encounter structural deterioration. Therefore, proper attention should be provided to smart materials regarding both research and application. Shape memory alloy (SMA) is a unique smart material that demonstrates growing applicability in numerous sectors. Recently, a lot of emphasis is being given to SMA research with a view to utilizing SMA in civil engineering structures. SMAs have some special properties such as high damping capacity, self-centering mechanism, two-way memory, self-adaptability etc. for which they can be used to make various types of structural control devices. An integrated assessment of the fundamental properties of SMAs, based on the existing data is presented by this paper in a concise and graphical manner. This paper also discusses the possibility of implementing SMAs in a wide range of civil engineering application, therefore motivating the large scale development of smart structures.
Demographic and statistical study of covid-19: Transmission and drug susceptibility pattern in India
Authors: Rameshwari K R Talluri , K Anuradha , KUMAR AJAY
Published: July 2021

Corona virus is a novel virus, causes severe acute respiratory syndrome (SARS) and spreading worldwide from person to person via communicable disease. It was first identified in the Wuhan City, Hubei Province, China in December 2019 hence it got the name COVID-19. In India, COVID-19 cases are reported severe as compared with other countries and it is standing in second position in the world after United State of America. The pathogenesis of COVID-19 is more risk in elder age as compared to young ones due to immune response. The pathogenesis of COVID-19 is recorded in three steps 1) asymptomatic state, 2) upper airways and conducting airways response and 3) hypoxia. The drugs viz., hydroxychloroquine, paracetamol, and antibiotics are mostly used for the treatment of SARS but no single drug is effective for disease. Hence, treatment of this disease is required. In this review, the correlation of confirmed and death cases due to COVID-19 in India and China are analysed by statistical methods (one-way ANOVA and t-Test). This study will give a clear picture of COVID-19 disease scenario and also helped in identifying and preventing the disease.
Design and analysis of an off-grid PV plant for higher utilization efficiency in the field of pharmaceutical industry considering global pandemic state .
Authors: Hassan A.B.M. Khalid , Ahmed Kazi Firoz
Published: July 2021

According to the concern of WHO the less association of people in an office may restrict the likelihood of spreading this COVID-19 infection. And it applies to all kinds of organizations. On the other hand, the pharmaceutical companies are working hard to maintain uninterrupted production of vaccine and medicines. This paper focuses on the main layer which is the power system management and its utilization through the less involvement of any individual. Automation and controlling the system remotely can be a good solution. In the design process the FDA proposed structure for the Pharmaceuticals needs to be maintained as well. One of the significant necessities is most of the energy should come from environment friendly system and in Bangladesh sunlight-based energy is the best solution right now. Solar energy utilization efficiency can be increased using the data logging system and machine learning algorithms from that archived data. In this paper, a SCADA operated Off-Grid Solar PV Automation System has been proposed to increase the utilization efficiency. To predict solar power availability over time and perform efficient energy trafficking, the automation system will analyze previous data and perform situational awareness operations for uninterrupted solar power generation. The proposed automation system has been designed focusing on pharmaceutical manufacturing utilities. A comprehensive analysis of the proposed automation system for pharmaceuticals industry applications has also been presented in this paper. The continuous monitoring system for this Off-Grid Solar PV power generating unit preserves multiple data entries, which increases with time and subjected to energy trafficking. And this energy trafficking based on machine learning increases the overall solar energy utilization efficiency.
Impact of Prolonged Isolation from the campus on the mental health of the students during Covid-19 pandemic
Authors: Nahar Afroza , AL Sohan Md. Faruk Abdullah , Yasmin Samia
Published: July 2021

There is a strong etiological connection between human psychology with the surroundings. A pandemic can create a huge negative impact on humans. This impact can be both physical and mental. With the outbreak of Covid-19 pandemic all the stimulus in life has been stopped. It left an adverse impact on the students, too. All kinds of educational institutions are closed, and classes are going online. This paper focuses on the psychological impact on the students as a result of being detached from campus oriented educational and other activities. A survey has been conducted on the students to find out their psychological impact during this situation where many students participated. It is revealed that prolonged isolation and segregation from normal campus activities has created mental trauma in the young minds of the students.
Reviewer Acknowledgements for Earth Science Research, Vol. 10, No. 2
Authors: Luo Lesley
Published: July 2021

Reviewer Acknowledgements for Earth Science Research, Vol. 10, No. 2, 2021.
Distributive Injustice: Leadership Adherence to Social Norm Pressures and the Negative Impact on Organizational Commitment
Authors: Fuller LaJuan Perronoski
Published: July 2021

The social norm theory suggests that leaders who rely on perceived norms (misperceptions) rather than actual norms may produce unfair work advantages. Furthermore, social norms alter ethical leadership behaviors. However, leadership adheres to social norms due to society's implied compliance in the absence of distributive injustice measurements. Therefore, distributive injustice may be a more salient predictor than distributive justice on affective organizational commitment. The aim of this study was to fill gaps in literature on distributive injustice and investigate negative influences on employees’ affective commitment. A distributive injustice scale was designed using employee perceptions of policies that create unfair advantages and meritless rewards. The distributive injustice scale consisted of 14 items. A survey was sent to 481 full-time employees in various industries throughout the U.S. Correlation and regression model output indicated that unfair advantages and meritless rewards had a negative relationship and influence on employees’ affective commitment. Social norm policies that create unfair advantages and meritless rewards can be perceived as a divisionary tacit that negatively impacts affective commitment.
The Effect of Human Capital Development on Strategic Renewal in the Egyptian Hospitality Industry: The Moderating Role of Dynamic Capabilities
Authors: Omar Amira M.
Published: July 2021

Purpose: the primary goal of this research is to provide insight into the effect of human capital development on strategic renewal in the Egyptian hotel industry. In addition, to examine the effect of dynamic capabilities as a moderating variable in the relationship between human capital development and strategic renewal.

Methods and tools: questionnaires were distributed based on a simple sampling method and collected in the Egyptian hospitality industry. 310 questionnaires were distributed, and 204 usable samples were obtained, yielding a 66% response rate from those who agree to participate. The Partial Least Square-Structural Equation Modeling (PLS-SEM) method has been used for analyzing the data and testing our hypotheses. The analysis of this paper was done using SPSS V. 23 for both descriptive and inferential statistics and Smart PLS V.3.3.3 for PLS-SEM analysis.

Results: this study indicates that human capital development has a statistically significant effect on Strategic Renewal; also, the findings observe that Dynamic Capabilities have a statistically significant impact on Strategic Renewal. And the Moderating Effect of dynamic capabilities not approved.

Theoretical and empirical contribution: The conceptual model with statistical results that emphasizes the significance of human capital development for the strategic renewal of business enterprises in the Hospitality field of developing countries has been investigated in this study. Human capital development has previously been highlighted, but its impact on strategic renewal has not been extensively investigated. Besides, this study provides valuable insights for decision-makers. As recommends that hotel managers consider human capital development and present it as a vital part of strategy formulation.
Reviewer Acknowledgements for International Journal of Business and Management, Vol. 16 No. 8
Authors: Lee Stephen
Published: July 2021

Reviewer Acknowledgements for International Journal of Business and Management, Vol. 16 No. 8, 2021
Data-Informed Educational Decision Making to Improve Teaching and Learning Outcomes of EFL
Authors: Aburizaizah Saeed Jameel
Published: July 2021

For many justifications, the collection, analysis, and use of educational data are central to the evaluation and improvement of students’ progress and learning outcomes. The use of data in educational evaluation and decision making are expected to span all layers—from the institution, teachers, students, and classroom levels, providing a longitudinal record of each student’s performance over time. Such records/data can play a crucial role by giving students, teachers, parents, and stakeholders a scalable and efficient platform that track performance and lead to informed valid enhancement decisions. This paper provides a description of a proposed tracking system. Developed by an English Language institute. It has multiple key features and processes that can monitor the progress of students from day 1 till completing their study. It is a comprehensive integration of student data management and a monitoring system. Such data makes it possible to see if students are achieving their academic goals and administrator could see, as soon as possible, if a student is not progressing. The system is also useful in helping the institute to plan their educational activities every semester and improve data communication between administrator, teachers, and students.
Combining detection and reconstruction of correlational and periodic motifs in viral genomic sequences with transitional genome mapping: Application to COVID-19
Authors: Chechetkin Vladimir , Lobzin Vasily
Published: July 2021

A method of Transitional Automorphic Mapping of the Genome on Itself (TAMGI) is aimed at combining detection and reconstruction of correlational and quasi-periodic motifs in the viral genomic RNA/DNA sequences. The motifs reconstructed by TAMGI are robust with respect to indels and point mutations and can be tried as putative therapeutic targets. We developed and tested the relevant theory and statistical criteria for TAMGI applications. The applications of TAMGI are illustrated by the study of motifs in the genomes of the severe acute respiratory syndrome coronaviruses SARS-CoV and SARS-CoV-2 (the latter coronavirus SARS-CoV-2 being responsible for the COVID-19 pandemic) packaged within filament-like helical capsid. Such ribonucleocapsid is transported into spherical membrane envelope with incorporated spike glycoproteins. Two other examples concern the genomes of viruses with icosahedral capsids, satellite tobacco mosaic virus (STMV) and bacteriophage PHIX174. A part of the quasi-periodic motifs in these viral genomes was evolved due to weakly specific cooperative interaction between genomic ssRNA/ssDNA and nucleocapsid proteins. The symmetry of the capsids leads to the natural selection of specific quasi-periodic motifs in the related genomic sequences. Generally, TAMGI provides a convenient tool for the study of numerous molecular mechanisms with participation of both quasi-periodic motifs and complete repeats, the genome organization, contextual analysis of cis/trans regulatory elements, data mining, and correlations in the genomic sequences.