bluuebunny/crossref_metadata_2025 huggingface dataset:
PERANCANGAN MODEL KNOWLEDGE MANAGEMENT SYSTEM DALAM AKTIVITAS ORGANISASI KEROHANIAN SEKOLAH MENENGAH ATAS
Authors: Panduwiyasa Haryasena , Sriwana Iphov Kumala , Andrawina Luciana
Published: March 2023

Learning loss dan berkurang nya kompetensi dialami oleh anggota Organisasi Rohani Islam (Rohis) di SMA XY akibat pandemi yang melanda Indonesia dalam dua tahun terakhir. Permasalahan ini timbul akibat dari adanya kesenjangan atas tacit dan explicit knowledge, dari satuan pendidik intra sekolah, yakni Koordinator IMTAQ dan pembina, terhadap anggota Rohis, serta renggangnya hubungan fasilitator eksternal selama masa pandemi Covid-19. Tujuan dari penelitian ini adalah untuk merancang pemodelan knowledge management system berbasis KM Triad dan SECI model yang meliputi elemen people, process, dan technology. Metodologi Soft System digunakan dalam penelitian sebagai kerangka pemodelan yang dibangun berdasarkan analisis CATWOE Holon yang ditemukan dalam setiap kasus permasalahan yang dialami oleh organisasi Rohis SMA XY. Hasil dari penelitian ini adalah rancang bangun model konsep dari Knowledge management system yang dapat mengatasi learning loss berkepanjangan pada organisasi Rohis SMA XY pasca pandemi.
The State Responsibility for Corruption in Investment Arbitration
Authors: Nhu Quynh Nguyen Thi
Published: March 2023

In the investor-state dispute settlement context, there seems to be common for states to invoke corruption allegations as a defence against investors’ claims in front of arbitral tribunals. And if a tribunal determines that the corruption occurred during investment making, it will certainly dismiss all claims based on jurisdictional or inadmissibility grounds.However, corruption involves both sides. Therefore, this study examines the possibility of addressing the state’s role regarding corrupt acts in investor-state arbitration cases. In this paper, the author reviews five arbitration cases involving the tribunals’ findings directly relevant to the state’s acts in connection with corruption allegations. The results show that there is indeed an emerging principle for corruption control in investor-state dispute cases, which punishes both the investors and states for illicit acts. Even though this practice is not uniform in its application and scope, there is growing awareness that states could be held responsible for investments obtained through corruption under certain circumstances. The measures against states and their future implications are discussed.
Legal Comments on Employment Regulations for Enhancing Technology Transfer in Vietnam
Authors: Le Thu Nguyen
Published: March 2023

Technology transfer is considered one of the main factors for innovation and enhancing productivity, then becomes a crucial policy in developing countries, including Vietnam. However, research has shown that innovation in Vietnam is under the expectation, especially at the enterprise level. One reason for this concern is the need for a stable supply of skilled employees to absorb, implement and re-distribute knowledge. Thus, this paper examines the issue from the perspective of employment law which mainly relates to the rights and obligations of employees and employers for the purpose of finding how these regulations might be supplemented to promote technology transfer. Legal recommendations are the primary outcomes of the paper.
EDITORIAL
Authors: Teixeira Carla Araujo Bastos
Published: March 2023

Editorial
EDITORIAL
Authors: Candido Mariluci Camargo Ferreira da Silva , Ventura Carla Aparecida Arena
Published: March 2023

DIREITOS DOS PORTADORES DE NECESSIDADES ESPECIAIS
EDITORIAL
Authors: Gatto Júnior José Renato , Bueno Sonia Maria Villela
Published: March 2023

Editorial
EDITORIAL
Authors: Castro Vivian Carla de , Carreira Lígia
Published: March 2023

Editorial
DIRETRIZES PARA AUTORES
Authors: Autores Diretrizes para
Published: March 2023

Diretrizes para Autores
DIRETRIZES PARA AUTORES
Authors: Autores Diretrizes Para
Published: March 2023

Diretrizes para Autores
EDITORIAL
Authors: Corrêa Nelton Anderson Bespales
Published: March 2023

Editorial
RELAÇÃO ENTRE BENEFÍCIO E RISCO EM INTERAÇÕES MEDICAMENTOSAS NAS PRESCRIÇÕES MÉDICAS DE UM HOSPITAL UNIVERSITÁRIO NO ESTADO DE SÃO PAULO
Authors: De Oliveira Romeu Lima , Da Silva Joelmir Lucena Veiga , Dos Santos Jaqueline Rocha Borges
Published: March 2023

Objetivo: Avaliar interações medicamentosas (IM), em que os riscos se sobrepõem aos benefícios (nível I) ou os benefícios se sobrepõem aos riscos (nível II); a partir da análise retrospectiva de prescrições médicas em um Hospital Universitário no estado de São Paulo, Brasil. Métodos: Foram analisadas 19762 prescrições médicas destinadas à farmácia do hospital, de janeiro a setembro de 2009; com o auxílio de programas sobre IM, para categorizar IM de nível I e II. Resultados: Na análise 26,53% apresentaram IM, em que 23,64% foram classificadas em nível I e 76,35% em nível II. Dentre as IM com maior frequência no nível I, estavam: ácido acetilsalicílico (AAS) e clopidogrel, AAS e heparina, captopril e espironolactona, digoxina e hidroclorotiazida. Houve uma redução em percentual de IM de nível I, comparando janeiro representado por 26,5% e setembro representado por 18,4%. Já nas IM de nível II, tem-se as seguintes associações com maior frequência: AAS e propranolol, AAS e insulina regular humana, AAS e atenolol, AAS e enalapril, AAS e carvedilol. Conclusão: A atuação dos farmacêuticos colaborou à redução de IM de nível I, devido à intervenção por meio de comunicação estabelecida com os prescritores; sinalizando a importância da equipe interprofissional em saúde.
DETERMINANTES SOCIAIS DE SAÚDE DE CRIANÇAS EM CONSULTA DE PUERICULTURA: DAS CONDIÇÕES SOCIOECONÔMICAS AOS ASPECTOS RELACIONADOS À SAÚDE BUCAL
Authors: Da Silva N’ghalna , Da Silva Wilner Augusto Pedro , Ca Elvira Adelia , Cruz Gabriela Silva , Nogueira Maria Rayssa do Nascimento , Nunes Rodolfo de Melo , De Brito Erika Helena Salles , Leite Ana Caroline Rocha de Melo
Published: March 2023

A imaturidade do sistema imunológico, associado a Determinantes Sociais de Saúde (DSS), promove doenças na infância. Especificamente, na cavidade oral, os DSS, representados pelo consumo elevado de açúcar, limitado acesso aos serviços de saúde e deficiência na higiene bucal, favorecem transtornos locais e sistêmicos. Assim, o estudo objetivou associar os DSS, no contexto das condições socioeconômicas, do acompanhamento pelo serviço de saúde e dos aspectos relacionados à saúde bucal de crianças atendidas em Unidades Básicas de Saúde (UBS) de um município cearense. Trata-se de estudo observacional, analítico, transversal e de abordagem quantitativa, conduzido com crianças e suas mães em Acarape - CE. Após consentimento, essas preencheram um questionário. Os dados foram analisados. Das 70 mães, 87,14% e 90,00% tinham idade inferior ou igual a 30 anos e renda de até um salário mínimo, respectivamente. Das 70 crianças, 87,14% tinham seus dentes/gengiva higienizados por seus pais ou responsável. Do total, 94,29% nunca se submeteram a atendimento odontológico. Observou-se associação significativa entre a mãe ter escolaridade superior ao ensino fundamental incompleto e higienizar os dentes/gengiva do filho com escova dental e dentifrício. Constatou-se associação significativa entre a criança ingerir bolacha doce/recheada, não consumir refrigerante e usar escova dental e dentifrício na higienização oral. Conclui-se que as crianças eram acompanhadas nas UBS regularmente; no entanto, esse serviço não esteve relacionado ao atendimento odontológico. Apesar da ausência desse tipo de acompanhamento e do consumo de alimentos cariogênicos, as mães se preocupavam com a saúde bucal das crianças, higienizando a cavidade oral diariamente, com meios adequados.
PLANTAS MEDICINAIS DA CAATINGA: UMA REVISÃO INTEGRATIVA DOS SABERES ETNOBOTÂNICOS NO SEMIÁRIDO NORDESTINO
Authors: dos Reis Hélio Souza , Da Paz Cristiane Domingos , Cocozza Fábio Del Monte , De Oliveira Juliana Gabriela Alves , Silva Marcos Antônio Vanderlei
Published: March 2023

A vegetação da Caatinga é rica em uma diversidade de espécies vegetais utilizadas para satisfazer as necessidades humana. Muitas dessas espécies são utilizadas para fins terapêuticos por populações. As formas de uso dessas espécies podem ser registradas e resgatadas através de estudos etnobotânicos, os quais contribuem no levantamento das potencialidades dos recursos vegetais, bem como em planos de recuperação e conservação da vegetação. Assim, com base em uma revisão integrativa, o presente trabalho buscou copilar informações sobre como os trabalhos de etnobotânica das plantas medicinais estão sendo desenvolvidos, assim como a respeito das principais espécies e famílias botânicas de potencial medicinal descritas, em levantamentos realizados em áreas caatinga localizadas na região semiárida do Nordeste. Para isso, foram selecionados artigos publicados entre os anos de 2010 e 2022, que abordassem a temática relacionada. Foram considerados trabalhos publicados no formato de artigos originais, disponíveis de forma online, gratuito e completo, em língua portuguesa e inglesa. Esses artigos foram consultados em diferentes bases de dados. A análise integrativa evidenciou as características das publicações, como a concentração de estudos direcionados aos estados da Bahia, Paraíba e Pernambuco, bem como demonstrou uma rica diversidade de plantas medicinais que são utilizadas pela população no semiárido nordestino, destacando-se, principalmente, os saberes tradicionais sobre as suas formas de uso e propriedades terapêuticas.
A rare case of diffuse penile phytocontact dermatitis caused by common greenbrier
Authors: Wirya Andrew Yoshihiro , Wirya Stephen , Kurniadi Ivan
Published: March 2023

Penis size has always been a considerable concern to a lot of men. Many men look for ways to increase their penile size, ranging from oral medication, stretch apparatus, injections, and surgery, to traditional methods. Smilax rotundifolia, also known as daun bungkus or common greenbrier in the western hemisphere, is a local herb most found in the West Papua region of Indonesia. This plant has been used for a variety of medicinal purposes but has recently gained fame as a novel penis enlargement. However, these claims have not been scientifically proven. A 25-year-old male presented with an ill-defined erythematous patch with multiple geographic erosion and diffuse edema after using a local herb called S. rotundifolia, also known as daun bungkus or common greenbrier. The patient was treated with an oral antihistamine, topical corticosteroids, and antibiotics. The condition improved within 2 weeks. S. rotundifulia, also known as daun bungkus, is a local herb from Papua, Indonesia, believed to have penis-enlargement properties. Research is still scarce on the active ingredients in this plant, and one study suggests that it contains triterpenoid saponin and saponin steroid. The active ingredients in this plant may be responsible for the development of contact dermatitis. Due to the popularity of this plant as an alternative penis augmentation product, it is important for practitioners to be aware of this product and its adverse effects. Further studies are also needed to examine the active ingredients in this plant.
Perancangan Dan Pembuatan Website Inventori Barang Dengan Metode Waterfall (Studi Kasus Sakti Brem)
Authors: Fatimah Siti
Published: March 2023

UMKM Sakti Brem merupakan salah satu produsen brem yang sukses di Kabupaten Madiun. Namun, dibalik kesuksesannya Sakti brem masih melakukan pencatatan inventori secara manual di dalam sebuah buku. Hal ini kerap meyebabkan ketidakakuratan jumlah dari stok barang, karena owner terkadang tidak langsung mencatat penjualan ketika owner masih sibuk dan akhirnya lupa tidak  mencatatnya. Untuk mengatasi hal tersebut, maka dibuat sebuah website inventori barang menggunakan metode waterfall. Metode waterfall dipilih dalam perancangan dan pembuatan website inventori barang dikarenakan dalam pengembangan sistemnya dikerjakan secara berurutan sehinggga memudahkan pembuatan suatu sistem informasi. Hasil dari penelitian berdasarkan pengujian sistem menggunakan metode blackbox testing semua fitur berjalan dengan baik sesuai harapan. Sedangkan pada pengujian usability testing hasilnya pengguna merasa semua fitur website inventori barang UMKM Sakti Brem berfungsi seperti yang diharapkan, dan pengguna merasa puas terhadap website inventori barang UMKM Sakti Brem. Hal ini sesuai dengan penilaian terhadap keempat faktor yang diuji dimana masing-masing hasilnya mendapatkan nilai rata-rata sangat baik.

Kata kunci: Brem, Website, Inventori Barang, Metode Waterfall
Gold(II) Porphyrins are Inherently Waved
Authors: Ghosh Abhik , Conradie Jeanet
Published: March 2023

Relativistic DFT (OLYP-D3/ZORA-STO-TZ2P) calculations predict low adiabatic ionization potentials for gold(II) porphyrins, from 4.60 eV for Au[TPP] (TPP = tetraphenylporphyrin) to 5.34 eV for Au[TPFPP] [TPFPP = tetrakis(pentafluorophenyl)porphyrin]. These values are over 1 eV lower than those calculated for analogous silver(II) porphyrins, reflecting much greater relativistic destabilization of the Au 5d orbitals relative to Ag 4d orbitals. The calculations reproduced the experimentally observed lateral distortion of the Au porphyrin core, ascribing the phenomenon to dx2-y2-dz2-6s mixing. The calculations also underscored a mild wave deformation as an intrinsic feature of the Au porphyrin core. Although previously noted, the origin of this unusual deformation has remained obscure. The topology of the HOMO and spin density profile appear to provide at least a partial explanation of the wave deformation: the electronegative Au(II) center appears to suck electron density from the porphyrin’s p-HOMO by triggering a wave deformation. The heretofore unsuspected orbital interaction results in significant spin populations on the porphyrin, leaving behind only about 20-25% of the spin density on the gold. In contrast, the analogous silver porphyrins exhibit strictly planar cores with approximate D4h local symmetry at the metal.
Pathway-dependent quantitative self-assembly of a metastable Pd6L4 square-based pyramid promoted by template and assist anions
Authors: Abe Tsukasa , Horiuchi Shinnosuke , Hiraoka Shuichi
Published: March 2023

Precise control of molecular self-assembly process is one of ultimate goals in molecular self-assembly because this enables us to make a rational design of self-assembly pathway to selectively obtain even metastable assemblies, which is impossible under thermodynamic control. Toward this goal, modulation of the energy landscape of molecular self-assembly is demanded. Here, we report that a metastable Pd6L4 square-based pyramid (SP) was almost quantitatively assembled by a pathway-dependent process with the aid of template and assist anions, which properly modulate the energy landscape, while usual heating a mixture of building blocks without modulation of the energy landscape gave a mixture of Pd6L4 SP and uncharacterized species in equilibrium. These results indicate that synergy of template and assist effects is powerful approach for pathway selection in metal-organic assembly resulting in a metastable product selectively.
Radical Mediated Hydroperfluoroalkylation of Unactivated Alkenes
Authors: Sissengaliyeva Gulsana , Dénès Fabrice , Girbu Vladilena , Kulcitki Veaceslav , Hofstetter Elena , Renaud Philippe
Published: March 2023

The direct hydroperfluoroalkylation of a wide range of unactivated alkenes have been achieved at room temperature with readily available iodoperfluoroalkanes using 4-tert-butylcatechol as a source of hydrogen atom and triethylborane. The hydrotrifluoromethylation could also be achieved under these conditions using gaseous trifluoromethyl iodide. An experimentally simple two-step, one-pot hydrotrifluoromethylation process using the easy-to-use trifluoromethanesulfonyl chloride as the source of trifluoromethyl radicals has also been developed. Using these two approaches, a broad range of substrates, including isoprenoid natural products, were efficiently derivatized.
Experimentación con espuma de cerveza para la enseñanza del Método de Mínimos Cuadrados en un curso de Álgebra Lineal
Authors: Costa Viviana Angélica
Published: March 2023

Este trabajo describe una actividad didáctica implementada en un curso de matemática de Algebra Lineal, con estudiantes para ingeniería. Dicha actividad, comienza con una pregunta que lleva a los estudiantes investigar la relación entre la variación del volumen de la espuma de la cerveza en relación al tiempo, vinculado con el proceso de decaimiento exponencial. El marco teórico se basa en la Teoría Antropológica de lo Didáctico, que propone acercarse hacia el Paradigma del Cuestionamiento del Mundo con el objetivo de enfrentar el problema de la desarticulación de contenidos, del monumentalismo de los saberes y de la ausencia de la modelización matemática. Se implementa una metodología de investigación descriptiva que permite mostrar que la actividad didáctica es viable, sumado a que los estudiantes construyen temas de Algebra Lineal de una forma distinta a la convencional. Como conclusión, los estudiantes desarrollan tareas vinculadas con: el método científico, el registro de datos experimentales, la construcción de un modelo matemático, el uso del software GeoGebra y la re significación de resultados para un problema real.
Diseño e implementación de metodología para la creación de laboratorios remotos de docencia: caso de estudio Sistema de Acondicionamiento de Aire
Authors: Garcia Buitrago Maria Vilma , Martínez Pérez Adrián , Isaza Hurtado Jhon , Vélez García Sebastián
Published: March 2023

Las condiciones de pandemia han llevado a la educación a buscar formas alternativas de llegar a los estudiantes con un proceso formativo similar a las condiciones de la presencialidad.  Existen muchas herramientas virtuales para el aprendizaje a través de aplicativos webs, pero estos medios no reemplazan la interacción con los equipos reales. Las herramientas tecnológicas deben ser exploradas a profundidad de tal forma que permitan generar una experiencia cercana con los equipos de laboratorio. Por esta razón, en este artículo se presenta una propuesta metodológica para repotenciar laboratorios disponibles en instituciones universitarias, facilitando el acceso remoto a los dispositivos. Esta metodología integra la experiencia pedagógica y tecnológica de docentes y estudiantes y es implementada en un equipo de aire acondicionado del laboratorio de fluidos del Instituto Tecnológico Metropolitano (ITM) de Medellín.
Competent methods to shield the SCM from new age blockchain attacks
Authors: Ratnakanth B. , Bhaludra R. Nadh , Satyanandam N.
Published: March 2023

The interior technology of the blockchain is the decentralized ledger, which can be used to record and secure transaction data across many parties in a blockchain. Cryptocurrencies such as Bitcoin, Ethereum, and other coins can use the blockchain to perform transactions between infinity and unknown parties without the need for an intermediary. A blockchain-based supply chain can support participants in recording price, location, cost, certification, quality, and other significant information. As a characteristic of blockchain, the information available within the blockchain can provide traceability of the material supply chain, reduce losses from the fake and grey markets, improve visibility and agreement over outsourced contract manufacturing, and effectively enhance an organization's position as a leader in responsible manufacturing. This paper proposed a Supply Chain Management (SCM) framework and tested it against various blockchain-based new age attacks, like peer-to-peer network-based attacks and consensus and ledger-based attacks, to analyze the impact of SCM.
Language detection using multinomial naïve bayes algorithm
Authors: Yashvi Vaghasiya , Diya Vora , Nehayadav  , Manish Rana
Published: March 2023

In this multilingual world, automatic detection of written or spoken language using Language Identification (LID) technology is a boon in the global communication with people using different languages in different countries. For simplicity and for the purpose of this research, the process of automatically identifying the language(s) from a document is thought of as LID. Lot of ongoing research projects are in the field of Natural Language Processing (NLP) that uses LID as a part of NLP. This field exploits several algorithms evolved in the field of computer science, individually or in combination to achieve accuracy in identifying a language. Among the different approaches adopted in LID,NaïveBayes Classification n-gram text processing seems to be promising.This paper proposes the concept for categorising multiple language texts using Naïve Bayesian algorithms using Machine Learning approaches. Using techniques from existing researches, this paper proposes a way to recognize multilingual documents and calculate the relative proportions of these languages.
Brain tumor detection & segmentation using deep learning
Authors: Daksh Ailawadi , Nipun Agarwal , Parth Agarwal , Manish Rana
Published: March 2023

The goal of this work is to identify brain tumors and improve care for those who are suffering. Tumors are the term used to denote abnormal cell growth in the brain, while cancer is the term used to describe malignant tumors. Brain cancer regions are typically discovered via Computed Tomography (CT) or Magnetic Resonance Imaging (MRI) scans. For the detection of brain tumors, further methods include molecular testing, lumbar puncture, cerebral angiogram, and positron emission tomography. Images from an MRI scan are used in this study to analyze the disease stage. The goals of this research are to segment the tumor region and to identify the abnormal image. The segmented mask can be used to evaluate the tumor's density, which will aid in treatment. ResNet algorithm is used to analyze MRI pictures and find anomalies.
Comparison of dynamic models of SLIM
Authors: Nagaraju M. , G. Durga Sukumar , Ravindrababu M.
Published: March 2023

The Single Linear Induction Motor (SLIM) is a specialized electrical machine that produces linear motion instead of the rotary motion produced by a traditional rotary induction motor. SLIM's accurate dynamic model is required to analyze the performance of the motor under different operating conditions. Dynamic modelling of SLIM using the traditional DQ- axis equivalent circuits is difficult due to the time-varying parameters such as end effect, air gap flux, saturation, and half-filled slot. The two methods for modelling SLIMs were compared, namely the conventional method and the split method. The results of the comparison showed that both methods provided similar results, but the split method offered a more detailed analysis of the components and provided deeper insight into the behavior of the motor. The choice between the two methods depends on the specific requirements and objectives of the analysis. In this paper, the dynamic model of SLIM is modelled using conventional and split methods in MATLAB/SIMULINK. The results of the two modelling methods are compared with each other, and it is concluded that the splitting method provides better transient performance than traditional D-Q axis methods.
Optimizing power system operations for extreme weather events: A review
Authors: Bindu A.
Published: March 2023

Extreme weather events, such as hurricanes, heat waves, and winter storms, can have a significant impact on power systems, leading to power outages and disruptions in service. This review aims to optimize power system operations to enhance resilience and minimize the impact of extreme weather events. The review will include the development of advanced modelling and simulation tools to analyze the impact of extreme weather events on power systems. These tools will be used to evaluate the performance of different power system configurations and identify vulnerabilities. Additionally, the review will investigate the potential of distributed energy resources, such as micro-grids and energy storage systems, to enhance power system resilience. The effectiveness of different control and protection strategies will also be evaluated. The review will provide valuable insights for power system operators and regulators in the planning and operation of power systems to withstand extreme weather events. Ultimately, the review will contribute to the development of a more robust and resilient power system, ensuring reliable and safe power supply to customers.
Blockchain-Based Smart Electricity Measurement and Monitoring System: A Survey
Authors: Manmeet Singh , Suhaib Ahmed , Sparsh Sharma
Published: March 2023

Humans' dependence on electricity is rising with each passing day. The challenge of global warming can be mitigated by using clean energy sources like electricity instead of burning fossil fuels. In order to meet this increased demand, there is a strong need for an effective electricity management system. The use of smart meters for recording electricity consumption data is vital to the idea of a "smart city." Some of the challenges faced in detailing electricity consumption data include saving large amounts of data, deletion, manipulation, and adjustment of data. Blockchain is a promising technology which can address these issues of data integrity and confidentiality using cryptographic algorithms.
Incidental l2 vocabulary learning through listening vs. viewing: the role of visual aid
Authors: Ahmet Çekiç
Published: March 2023

There is limited research on the effectiveness of aural versus audiovisual input in incidental second language vocabulary learning (IVL). The current study aims to determine which mode of input, viewing or listening, is more conducive to IVL, and if the level of visual aid for the words leads to a significant difference in word gains. English Language Teaching majors (N=58) were randomly assigned to either watch animated educational videos or listen to the audio of the same videos. Both groups were given a pretest and posttest of meaning recognition and recall. The results suggest that both modes of input are equally effective for vocabulary learning and that the role of visual aids may not be as significant as previously thought. The study also found that prior vocabulary knowledge level positively correlated with vocabulary gains in the viewing group, but not in the listening group. The results are discussed in reference to the multimedia, temporal contiguity, and coherence principles of the cognitive theory of multimedia learning and the dual-coding theory.
Development of control systems that operate independently without human intervention
Authors: Hridya Venugopal
Published: March 2023

The development of control systems that operate independently without human intervention is a rapidly growing field in instrumentation and control engineering. These systems are designed to function autonomously, using Artificial Intelligence (AI) and Machine Learning (ML) techniques to make decisions and perform tasks. Applications of these systems can be found in a variety of fields, including autonomous vehicles, robotics, and industrial automation. The key benefits of these systems are their ability to perform tasks without human intervention, which can lead to increased efficiency and productivity. They also have the ability to operate in environments that may be too dangerous for humans, such as deep-sea exploration or space. Additionally, they are able to collect and process large amounts of data in realtime, which can be used to improve decision-making and control. This includes the use of machine learning and evolutionary algorithms to improve the ability of systems to adapt to changing conditions. This research is also focused on the integration of these systems with communication networks, such as the internet, to enable remote monitoring and control. With advancements in technology and increasing demand for automation, it is expected that autonomous systems will play an increasingly important role in various industries in the future.
Vehicular detection technique using image processing
Authors: Sheryl Radley , Julia Punitha Malar Dhas , S. Stewart Kirubakaran
Published: March 2023

The increasing traffic volume creates a greatest challenge in today's traffic research. It is important to know the road traffic density for effective traffic management and Intelligent Transportation System (ITS). Traditional method of detecting vehicles from video is image subtraction which is not effective as it is susceptible to changing levels of brightness. And hence the proposed algorithm detects vehicles from an image in a more precise manner. The proposed work uses image processing that involves the techniques such as image acquisition, image enhancement, and Image segmentation to retrieve image from the source and enhance the contrast and brightness of the image for successful surveillance on transportation system.
A Comprehensive review on IoT-based healthcare security through blockchain technology
Authors: Kedar Nath Singh , Arvind Kumar Upadhyay
Published: March 2023

Blockchain is a rapidly developing modern technology being used in various fields, including IoT-based healthcare, which is widely used nowadays because of its ability to increase the security, robustness, and reliability of distributed systems. Key features such as data immutability, decentralization, transparency, privacy, and distributed ledger are highly necessary to make blockchain an attractive technology. This paper gives a comprehensive survey of the application of IoT based blockchain technology. IoT and blockchain are required to enable real-time information processing and transaction implementation in an orderly manner. Digital data has become important for health services due to the hectic routine of daily life for patients and doctors. This study sheds light on the use of blockchain for IoT-based healthcare.
Comparative analysis of machine learning approaches for sentiment analysis of students' online learning feedback during covid-19
Authors: Deepti Singh Kshatriya , Snehlata Barde
Published: March 2023

Sentiment analysis aids in determining if a person's feelings are neutral, negative, or positive. Many machine learning and deep learning algorithms exist for assessing people's attitudes on various social media networks. Many researchers focused on students' emotional identification. The purpose of this paper is to analyze the sentiments of academic students regarding the online class experience conducted during the COVID-19 pandemic situation. For this work, the Term Frequency-Inverse Document Frequency (TF-IDF) model is used for the feature extraction and comparison of eight machine learning models were tested for the classification, such as Support Vector Classifier, Multinomial Naïve Bayes, Decision Tree, K-Nearest-Neighbors (KNN), Random Forest, AdaBoost Classifier, Bagging Classifier, Extreme Gradient Boosting Classifier (XGB) and F-Score, accuracy, precision, and Recall are the performance criteria examined. With a test accuracy of 0.97 and precision of 1.0, Multinomial Naive Bayes achieves the highest accurate model.
A review on patch-wise asymmetry analysis of thermograms for predicting breast abnormality in breast cancer detection
Authors: Prasanjeet Prabhakar Charpe , Sunil Kumar
Published: March 2023

Thermography, also referred to as thermal imaging, is a technique for identifying breast irregularities through the capturing of temperature patterns using an infrared camera. It is being explored as a potential tool for diagnosing breast cancer, particularly in young women with thick breasts, due to the limitations of mammography. However, it is important to note that thermal imaging is not currently considered a replacement for mammography and should be used in conjunction with other diagnostic tools such as mammography and ultrasound. Further research is necessary to determine the effectiveness of thermal imaging in diagnosing breast cancer.
Modeling and analysis of torsional vibrations in borehole drill strings
Authors: Joshua Chirikutsi
Published: March 2023

Bore hole drilling is a growing activity driven by the need to access important resources like ground water and fossil fuels. In the process, however, undesired vibrations and shocks on the drill strings are invariably experienced, and this has a detrimental impact on the equipment. To get a full understanding of the origins and characteristics of this dysfunction, a generalized lumped-parameter model of the drill string system is studied to provide a deeper understanding of the drillstring dynamics and bit mechanics. The torsional stick-slip vibration phenomenon focuses on analyzing the source of vibration excitation, which is primarily the nonlinear bit-rock fictional interaction. The impact of various parameters such as the weight on the bit, rotational speed, and damping on the severity of vibration, in particular stick-slip vibration, is further analyzed. The simulation results highlight the significance of the key factors for stick-slip onset and severity. These controllable factors can be used to eliminate stick-slip while avoiding other undesirable effects, achieving optimum performance. Further research will be done on multi-stability analysis to define the optimum operation zones and design of vibration reduction tools and control strategies.
A rotor dynamics modal vibrational analysis of a water well rig drill string
Authors: Borerwe Andrew Zivai , Mupfumira Portia , Ndala Emmanuel
Published: March 2023

Drill String (DS) vibrations are excessive and cause early failure of various parts of the drill string due to fatigue. A drill string is a part of the rig bottom that consists of drill pipe, a drill collar, and a bit. The more the drill pipes are connected, the longer the drill string. The phenomenon caused by drill string vibrations can be avoided by stopping the drill string to rotate or move at its natural frequency, or, in other words, to avoid resonance. Rotational Speed (RS) in the drill string causes lateral vibrations and stick-slip in torsional vibrations. This research investigates vibration under the action of parameters such as water well drill string lengths and rotational speeds. A drill string was finite element modelled in the Analysis of Systems (ANSYS) workbench 2020, mechanical. The Campbell diagram was used to analyze critical speeds, Backward Whirl (BW), and Forward Whirl (FW) and drill string length.
The impact of building digital culture on employees' engagement in the ICT sector
Authors: Sherin Haroun El. Rashied
Published: March 2023

Culture is the heart of any organization. In organizations, culture is like the DNA of an organization, thus each organization is a unique one. In this context, corporate culture is not only created by the founders, management, and employees of a company but is also influenced by national cultures and traditions, economic trends, international trade, company size, and products where organizational culture affects the way people and groups interact with each other, with clients, and with stakeholders. Digital transformation is a cultural transformation that affects the majority of people who work, and it will never be realized unless companies are still confident in their employees that digitalization can help organizations, people, and society achieve a better future. Based on that, employee engagement in digital transformation is a necessity, where an "engaged employee" is fully absorbed by and enthusiastic about their work and so takes positive action to further the organization's reputation and interests. Accordingly, effective digital transformation can never be achieved unless companies build confidence among their staff that digitalization can help organizations, people, and society achieve a positive future. The research analyses of the data were collected using the mixed qualitative approach. Based on that, semi-structured interviews with interviewees were conducted with the aid of an interview guide to collect the qualitative data. As for the quantitative data, a questionnaire was distributed to collect the necessary data to be able to test the hypotheses. The four main dimensions of digital culture: involvement, consistency, adaptability, and mission have a positive impact on employees' engagement in the ICT governmental sector in Egypt. Digital success requires companies to build a culture that is closely aligned with the business, talent, and technology strategies in order to facilitate and not impede the digital transformation. Therefore, aligning company culture and building the digital culture in the organization in the right way will affect employee engagement positively. In this context, the study concluded that there is a positive impact relationship between building digital culture and employee participation in the ICT sector.
Entrepreneurship & leadership management tactics for business growth
Authors: Ajaya Sankar
Published: March 2023

The current article focuses on Business Growth Tactics, Entrepreneurship and Leadership Management, in which it highlights the key strategic roles of a leader that help sustain a business. This particular article is based on secondary sources, and it is developed to be more infographic-oriented so that the reader has access to the necessary information. The article commences with some brief information about entrepreneurship and entrepreneurial leadership skills before an attempt is made to highlight the potential strategies that are needed for business growth. The article encloses key factors that help in the growth of a business, for instance, the right strategic orientation, strategic foresight, creativity, and the role of a leader in an enterprise's growth. Further, the role of sound strategies in business growth, which includes effective digitalization strategies, innovative ecosystems, product innovation, and engaging the right people, are discussed with relevant examples from diversified industries.
Effect of (SiC+Gr) Addition on the Corrosion Behavior of Powder Metallurgy Copper MMC
Authors: Gowtham Satya Swaroop Akkarapu , Srinivasulu Arnuri , Swami Naidu Gurugubelli , Rama Krishna Varmalanke
Published: March 2023

Copper metal matrix composites are seeing tremendous growth due to their properties, which are suitable for a wide range of applications. The potential for combining reinforcements uniformly in the matrix via powder metallurgy is stimulating new research. In the present study, copper powder is used as the matrix and SiC and graphite are used as reinforcements for the fabrication of a hybrid metal matrix composite using the powder metallurgy route. Silicon Carbide (SiC) and graphite are used as reinforcements in copper Metal Matrix Composite (MMC). SiC is a ceramic material that increases the hardness of the composite by adding it as reinforcement, and graphite is a material that helps increase corrosion resistance when used as reinforcement. In each sample, SiC and graphite mixture reinforcement is in equal proportion, varying this composition from 0 to 10% of the weight percentage. These samples are investigated for Vickers hardness, densities, and electrochemical corrosion properties after being prepared by powder metallurgy with dimensions of 16 mm x 16 mm x 25 mm. The sample with 8% reinforcement showed good corrosion resistance and poor corrosion resistance for the 4% reinforcement sample. These composition samples were subjected to X-ray diffraction (XRD) analysis and Scanning Electron Microscopy (SEM) characterizations, which showed good correlation for the hardness and corrosion test values.
Two-level data packet security mechanism – secure location-aided routing (SLAR)
Authors: Christy S. , L. Mary Gladence
Published: March 2023

Secure data transmission is one of the most difficult challenges of Mobile Ad hoc Networks (MANET), it is a group of wireless mobile nodes that creates a temporary network without the help of a centralized system, infrastructure, or access point. Location-Aided Routing (LAR) protocols limit the ad hoc network's search for a new route to a limited "request zone." For safe message transmission in the current Location Aided Routing protocol, the Secure Location Aided Routing algorithm (SLAR) is proposed in this paper. The LAR is a geographic routing protocol that establishes the route discovery region between the source and distance before forwarding the route request packets. SLAR is an extension of LAR where the performance of LAR is compared in the presence and absence of malicious nodes, and the security of LAR is improved by putting cryptographic features in it. SLAR has significantly improved throughput, end-to-end delay, and packet delivery ratio compared to LAR.
A study of the automated vehicle number plate recognition system
Authors: Prince Rathore , Puja Gupta , Sarthak Jain , Yash Shrivastava
Published: March 2023

Automatic Number Plate Recognition (ANPR) uses number plates to identify vehicles. The goal of an automated vehicle identification system is to identify the vehicle based on the number plate. The system enforces the regulations, parking, etc. It can also be used at the entrance to protect a large area, such as a military zone or the region around important government buildings like the military base, Parliament, Supreme Court, etc. The smart technology recognizes and captures the image of the vehicle. The number plate area of the vehicle is extracted using image segmentation on the image. Optical character recognition is used for character recognition. The performance data may also be compared to database records to determine the car owner, enrollment location, residence, etc. The testing showed that the improved algorithm easily recognized the number plate of a vehicle on genuine photographs.
Scope of Hydrogen-Based Vehicles in India: A Review
Authors: Shaswat Kumar
Published: March 2023

India is dealing with the problem of high automotive emissions as the number of vehicles on the road is rising. The primary cause of these emissions is the burning of crude oil. India imports crude oil from nations with abundant oil supplies because it lacks the resources to meet all of the country's energy needs for cars. There is a need to look for a carbon-free alternative fuel that is locally accessible in sufficient quantity to suit India's energy needs in order to address the problems related to oil imports and vehicle emissions. Hydrogen is a clean fuel choice among the potential energy sources because its combustion only yields water as a byproduct, and also due to its purity and high energy content, hydrogen energy offers a sustainable alternative to fossil fuels. India has the benefit of producing hydrogen from renewable sources like solar and wind during periods of lower demand because of its continuously expanding renewable energy generation capacity, and Asia is one of the continents with a wealth of these resources. Also, the exponential increase in food waste generation has prompted the scientific community to convert it into value-added resources. The main elements influencing the adoption of hydrogen as a cost-effective energy source in Asian nations are the availability of resources, safety requirements, public acceptance, and appropriate government incentives. The current analysis discusses the need to use hydrogen as an alternative fuel, its production processes, storage concerns, transportation, and the sources that are available. In various Asian nations like Japan, Korea, China, India, and Malaysia, particular focus has been placed on the notion of a renewable hydrogen economy. Perspectives on fuel supply, environmental effects, and social acceptance could help the biohydrogen energy sector evolve in a favorable way.
Photovoltaic-Based Electric Vehicle Charging Station using GA Algorithm
Authors: Sweta Pandey , Surekh Bhusnur , Naushin Anjum
Published: March 2023

Detailed modeling of rapid charging Electric Vehicle (EV) stations connected to a hybrid grid-Renewable Energy Systems (RES), such as solar, mini-hydro, and wind, has been proposed. This assists in maximizing profit and lowering grid energy consumption. Since Photovoltaic (PV) systems exhibit several peaks under partial shading conditions; it is very difficult to track the global maximum point. Therefore, a broad search is needed to solve this nonlinear problem. Due to the variety of solutions, GA is preferred for solar MPPT. In comparison to the Genetic Algorithm (GA) and Maximum Power Point Tracking (MPPT) technique, the economic considerations obtained optimizes profit. It is also obvious that the proposed strategy lowers the grid's influence on the system network by capping the amount of electricity that may be exchanged between the system network and the grid. The voltage and current of PV array with GA method and GA MPPT technique results on the utility grid respectively.
Achievement of swayam certificate course among future teachers in kanyakumari district
Authors: D. R. Robert Joan
Published: March 2023

Currently, in higher education courses, the Swayam course is mandatory. After successfully completing the Swayam course, certificates are issued to passing candidates. The ultimate goal of this study is to determine the relationship between background variables and Swayam achievement of future teachers. To achieve this goal, the researcher collected background information and Swayam achievement marks. The researcher administered the tool at Colleges of Education in Kanyakumari District. The researcher used the survey method for this study. The population of this study consists of future teachers who are studying at colleges of Education in Kanyakumari District. The findings revealed a significant difference between the residential localities, branches of the subjects, and results of the Swayam examination. There is a significant difference among the occupations of the fathers. There is no significant difference among the occupations of the mothers. The researcher concludes from this study that the future teachers who put effort into completing the Swayam course were successful. Therefore, the researcher suggests that future teachers should spend their time acquiring knowledge and new information.
Total flavonoid of dry extract and fraction of selected shallot (Allium
ascalonicum L.) using ultraviolet-visible spectrophotometry and HPLC
Authors: Nurcahyo H. , Sumiwi S.A. , Halimah E. , Wilar G.
Published: March 2023

Shallots (Allium ascalonicum L.) of Brebes are plants with a high flavonoid content.
Furthermore, the flavonoids in shallots were extracted using the proper methods and
solvents. In this study, shallot simplicia was dried at 30, 40, 50, and 60°C before being
macerated in a 70% ethanol solvent. Water, ethyl acetate, and n-hexane were used as
solvents to fractionate the ethanol extract. Ultraviolet visible (UV-Vis)
spectrophotometry was used to determine the total flavonoid levels in the extract. The
best results were obtained from HPLC readings of the quercetin chromatogram profile.
The ethanol extract contained the most flavonoids, with 13.484 mg EQ/g after drying at
40°C
Analisis Soal Ujian Matematika Berkategori Higher Order Thinking Skills (HOTS) Siswa SMP dengan Analisis Rasch Model
Authors: Ernawati Ernawati
Published: March 2023

Tujuan penelitian ini adalah untuk menguji soal matematika berlabel higher order thinking skills (HOTS) pada tes. Elemen-elemen yang akan dievaluasi diatur dalam kotak untuk membuat pertanyaan tes, yang kemudian digunakan sebagai template untuk membuat pertanyaan tes setelah ditinjau secara kualitatif. Produk tersebut kemudian diujicobakan pada siswa kelas IX SMP Pesawaran. Dalam penelitian ini, data tes diklasifikasikan sebagai HOTS dan hasil validasi ahli digunakan untuk mengumpulkan data. Soal tes matematika kategori HOTS ada 18 soal terdiri dari 15 soal pilihan ganda dan 3 soal jawaban singkat. Berdasarkan analisis tingkat kesukaran soal pada uji coba uji lapangan, diketahui bahwa pada soal pilihan ganda terdapat delapan butir soal dengan kategori mudah dan tujuh butir soal pada kategori sedang. Pada soal essay terdapat satu butir soal dengan kategori mudah dan dua butir soal pada kategori sedang.