bluuebunny/crossref_metadata_2025 huggingface dataset:
Power Plant Performance Analysis on Variations of Generator Loading at Ombilin Coal Fired Steam Power Plant Unit 1 (2x100 MW)
Authors: Adytia Putra Ryan , Nazir Refdinal
Published: July 2023

Abstract— Steam Power Plants are classified as thermal plants that convert chemical energy in fuel into electrical energy. In an effort to increase the effectiveness of the work of the plant, there needs to be proper planning for its operations, this is important because it directly affects the operational costs incurred by the plant. This journal aims to determine the effect of changes in load or variations in generator loading on power plant performance, both efficiency, heat rate and production costs of electricity generation and to identify the magnitude of the decline in the thermal performance of the generator, as well as determine the causes and parts of the plant whose performance level decreases compared to optimal conditions. The method used to calculate the efficiency and heat rate is the “Direct Method”, namely by directly comparing the input energy with the electrical output produced. The data used in this study is the “Power Plant Performance Test” data. The results of this study get the most optimal conditions when loading 93.39 MW Net with efficiency 34.693%, heat rate 2475,445 kcal/kWh and electricity production costs 413,297 Rp/kWh. The conclusion of this study is that plant performance is getting better at high loads.
Keywords: Thermal efficiency, Heat Rate, Electricity Production Cost, and Steam Power Plant
EVALUASI PENAMBAHAN EUGENOL DAUN CENGKEH SEBAGAI ADITIF DALAM PAKAN TERHADAP EFISIENSI PENGGUNAAN PAKAN AYAM PEDAGING
Authors: Tahir Muhammad , Hafsah Hafsah , Tantu Rizal Y. , Damayanti Andi Pertiwi
Published: July 2023

Minyak atsiri daun cengkeh mengandung 79,72% eugenol yang merupakan antimikroba, antibiotik dan antioksidan. Penambahan eugenol dalam pakan broiler diharapkan dapat memperbaiki efisiensi penggunaan pakan. Penelitian ini mengevaluasi penggunaan eugenol daun cengkeh dalam pakan yang terdiri atas 5 perlakuan dengan 4 ulangan. Setiap unit percobaan tersebut digunakan 10 ekor ayam pedaging umur 1 minggu dengan berat badan awal 142,25 ± 7,75 g/ekor selama 5 minggu (umur ayam 42 hari), sehingga total ayam yang digunakan dalam penelitian ini adalah 200 ekor. Eugenol yang digunakan berbentuk cair yang diisolasi dari minyak atsiri daun cengkeh. Perlakuan yang digunakan adalah E0 (Pakan Basal tanpa penambahan eugenol daun cengkeh), E1 (Pakan basal + eugenol daun cengkeh 0,5%), E2 (Pakan basal + eugenol daun cengkeh 1,0%) dan E3 (Pakan basal + eugenol daun cengkeh 1,5%). Parameter yang diukur adalah konsumsi protein, konsumsi energi metabolis, efisiensi penggunaan pakan dan rasio efisiensi protein. Hasil penelitian menunjukkan bahwa penambahan eugenol daun cengkeh 0,5 – 1,5% dalam pakan dapat meningkatkan secara sangat nyata (P<0.01) konsumsi protein dan energi metabolis pakan, efisiensi penggunaan pakan dan rasio efisiensi protein pada ayam pedaging. Efisiensi pakan dan rasio efisiensi protein pakan terbaik pada penggunaan eugenol daun cengkeh 1% dalam pakan ayam pedaging masing-masing 0,62±0,02 dan 3,00±0,12 sehingga disarankan penggunaan eugenol daun cengkeh pada ayam pedaging 1% dalam pakan.
Keragaman Karakter Kualitatif dan Morfometrik Itik Bayang sebagai Plasma Nuftah Ternak Unggas Sumatera Barat
Authors: Arlina Firda , Sabrina Sabrina , Afriani Tinda
Published: July 2023

Itik Bayang merupakan salah satu plasma nutfah ternak unggas Sumatera barat yang telah ditetapkan berdasarkan Kepmentan 2012, No 2835/Ktsp/Lb. 430. Penelitian ini dilakukan untuk mengindetifikasi keragaman karakter kualitatif dan morfometrik itik Bayang sebagai dasar untuk pengembanngan dan pelestariannya. Jumlah sampel yang digunakan pada penelitian ini untuk morfometrik 130 itik Bayang yang sudah dewasa kelamin yang terdiri dari 100 ekor itik betina dan 30 ekor itik jantan. Sedangkan untuk karakter kualitatif sebanyak 617 ekor itik Bayang dewasa kelamin yang terdiri dari 576 ekor itik betina dan 41 ekor itik jantan. Data penelitian diambil dari 19 peternak di Kecamatan Bayang Kabupaten Pesisir Selatan. Peubah yang diamati untuk karakter kualitatif yang sesuai dengan Kepmentan dan morfometrik. Analisis data yang dilakukan adalah analisis statistik deskriptif dengan menghitung rataan, standar deviasi dan koefisien keragaman dan persentase. Hasil penelitian menunujjan karakter kualitatif itik Bayang memiliki persentase fenotipe berkisar antara 43,90-93,23%. Karakter kualitatif yang dapat di klasifikasikan sesuai dengan Kepmentan 2012 adalah pada itik jantan warna bulu bagian kepala, warna bulu dada dan warna bulu punggung coklat tua. Itik Bayang betina memiliki frekuensi fenotipe kualitatif yang sesuai >75%. Keragaman morfometrik itik Bayang berkisar antara rendah dan tinggi Koefisien keragaman yang tertinggi pada bobot badan itik betina sebesar 15,17%. Sedangkan itik Bayang jantan panjang punggung sebesar 14,12 %.
Kombinasi Media Tanam Berbeda Terhadap Pertumbuhan Indigofera zollingeriana
Authors: Utami Yolani , Suyitman Suyitman , Rastosari Adisti , Edwin Tevina , Suharto El Latifa Sri
Published: July 2023

Indigofera zollingeriana salah satu tanaman pakan leguminosa yang memiliki kandungan nutrisi dan produksi tinggi yang berpotensi sebagai sumber hijauan pakan ternak. Penelitian ini bertujuan untuk mengetahui jenis media tanam terbaik bagi pertumbuhan Indigofera zollingeriana. Penelitian ini menggunakan Rancangan Acak Lengkap (RAL) dengan 7 perlakuan dan 5 ulangan, yaitu tanah (A0), tanah + pasir (A1), tanah + arang sekam (A2), tanah + pupuk kandang (A3), tanah + pasir + pupuk kandang (A4), tanah + arang sekam + pupuk kandang (A5), dan tanah + pasir + arang sekam + pupuk kandang (A6). Data pertumbuhan diantaranya tinggi tanaman, jumlah daun, jumlah cabang dan diameter batang, dianalisis menggunakan analisis ragam (ANOVA) dan jika berpengaruh nyata maka dilakukan uji jarak Duncan Multiple Range Test. Hasil penelitian menunjukkan bahwa tidak ada pengaruh nyata terhadap jenis media tanam terhadap tinggi tanaman, jumlah daun, jumlah cabang, namun berpengaruh nyata terhadap diameter batang Indigofera zollingeriana. Media tanam terbaik terdapat pada perlakuan A5 (tanah + arang sekam + pupuk kandang) terhadap pertumbuhan Indigofera zollingeriana.
Substitusi Rumput Lapangan dengan Jerami Bengkuang terhadap Kecernaan Zat Makanan Secara In Vitro
Authors: Elihasridas Elihasridas , Erpomen Erpomen , Pazla Roni
Published: July 2023

Penelitian ini mengkaji tentang potensi jerami bengkuang (Pachyrhizus erosus) sebagai pakan serat alternatif pengganti rumput. Tujuan percobaan untuk mendapatkan taraf optimal penggunaan jerami bengkuang sebagai pengganti rumput dalam ransum ternak ruminansia berdasarkan parameter kecernaan ransum secara in vitro. Percobaan menggunakan rancangan acak kelompok dengan 4 macam perlakuan dan 4 kali pengambilan cairan rumen sebagai kelompok. Perlakuan yaitu P0=30% rumput lapangan + 30% jerami bengkuang + 40% konsentrat, P1= 20% rumput lapangan + 40% jerami bengkuang + 40% konsentrat , P2= 10% rumput lapangan + 50% jerami bengkuang + 40% konsentrat, P3= 60% jerami bengkuang + 40% konsentrat. Konsentrat terdiri dari ampas tahu, dedak padi dan mineral. Peubah yang diamati adalah kecernaan bahan kering, bahan organik, protein kasar dan fraksi serat (NDF, ADF, selulosa dan hemiselulosa). Analisis ragam menunjukkan bahwa perlakuan berpengaruh berbeda tidak nyata (P>0.05) terhadap kecernaan zat makanan. Hasil penelitian disimpulkan bahwa jerami bengkuang dapat digunakan sebagai pakan hijauan alternatif pengganti rumput lapangan sampai 60% dalam ransum atau 100% pengganti rumput lapangan dengan rataan kecernaan bahan kering 59,64%, bahan organik 61,72%, protein kasar 67,07%, NDF 55,72%, ADF 53.12%, selulosa 53,73%, dan hemiselulosa 58,19%.
ADOPTION OF MASS MEDIA TECHNOLOGY ON INDUSTRY 4.0 PERSPECTIVE
Authors: Amran Sri Oktika , Hendra Muhammad David , Triyandra Annisa Citra , Putera AB Sarca , Adriyani Ayu
Published: July 2023

Industry 4.0 has influenced the process of human communication from face-to-face to virtual. The communication process aligns with the Cyber-Physical System (CPS) concept. The CPS concept shows what is physically represented in cyberspace and vice versa. This has resulted in content production and distribution in the mass media adopting technological developments summarized in the CyberPhysical and Smart Factory systems. The adoption of technology that the mass media should carry out is a challenge for the sustainability of the media industry to carry out the function of the press. Thus, this article offers forms of technology adoption in the mass media using the literature review method in previous studies. The literature review results in this article offer technology adoption in the mass media from the perspective of industry 4.0. The form of technology adoption is the process of computational journalism as a production action based on Smart Factory. Furthermore, news automation is a production act and a CPS-based news distribution. This production and distribution process should involve the mass media workforce, which requires an approach to technology adoption by humans in the future mass media.
The Status of Responsibility to Protect in the International Law and Whether Doctrine Advances Use of Military Force for Humanitarian Ends
Authors:   Department of Law, College of Law and International Relations, Lebanese French University, Erbil, Kurdistan Region, Iraq, Ibrahim Sheraz
Published: July 2023

This paper offers a delicate understanding of the responsibility to protect (R2P) principle and analyses the status of this significant principle within the international law. The place of the use of force is evaluated within R2P doctrine. The R2P norm and the pillars contained therein will be analysed to set out the legal responsibilities it contains towards member states and the international community, assessing the legality of the responsibilities held by states towards its population in addition to responsibilities owed by states to populations in other states and the obligation from the international community to intervene. Identifying the issues surrounding the principle of R2P in international law and the message it delivers with what it involves and what responsibilities it carries. It also illustrates the importance of the evolution of the concept, and the advances evolving around the principle including the use of military force for humanitarian ends.
Critical Thinking in the Kurdistan Region of Iraq Schools: A Case Study of Two Prominent Schools in Erbil
Authors:   Department of Media, College of Arts, Salahaddin University–Erbil, Erbil, Kurdistan Region, Iraq, Mahmoud Kakashekh Hardawan , Salahdin Mirdan Dunya ,   Department of Social Work, College of Arts, Salahaddin University–Erbil, Erbil, Kurdistan Region, Iraq
Published: July 2023

Critical thinking goes beyond memorization, promotes independent thinking and reasoned judgment. It is a crucial element in connecting ideas, solving problems, and creating knowledge. Schools are considered to be among the initial steps in developing critical thinking where pedagogical methods would guarantee the formation of it. Critical thinking in schools develops the intellectual capability instead of using it as a memory bank of information where mind does not have any role to play. This work is an attempt to demonstrate role and effect of practicing critical thinking in primary school and analyse reflection and ability of practicing critical thinking in the Kurdistan Region of Iraq. The study relies on deep interview and observation of eighth-grade students and teachers in two prominent schools in Erbil, focusing on four different subjects. Type of questions raised by teachers and students during the lectures have been examined, and a detailed analysis of the reflection and ability to practice critical thinking is presented.
Cómo la escritora o el escritor novel descubre a sus lectores y qué conseguir de ellos: los manuales escolares para Educación Primaria

Authors: Puntí Jubany M. Teresa
Published: July 2023

Este artículo se centra en la caracterización y análisis cualitativo de dos de los elementos que dan más pistas sobre el grado de innovación presente en las secuencias de actividades de aprendizaje de la expresión escrita propuestas en los manuales escolares de lengua de Primaria: cómo se acompaña al escritor novel en el proceso de construcción (descubrimiento e identificación) del destinatario o lector y de las intenciones o propósitos de sus textos según las situaciones comunicativas en que se enmarcan. Para ello se han analizado las actividades de expresión escrita de los manuales de lengua catalana y lengua castellana de tercer y quinto curso de las editoriales Santillana y Barcanova, las más presentes en las escuelas catalanas. Corresponden a títulos publicados con posterioridad al documento curricular Competències bàsiques de l’àmbit lingüístic (2015) y en consonancia con el Decreto 119/2015 del Departament d’Educació de la Generalitat de Catalunya. Los resultados revelan que destinatario e intención tienen poca repercusión en las propuestas, dado que se plantean de forma muy puntual y, cuando se evidencian, se presentan de modo limitado: un abanico reducido de potenciales lectores sin casi ayudar al escritor novel a descubrir para qué quiere comunicarse con ellos en las situaciones comunicativas planteadas.
Estudio y análisis de la escritura colaborativa digital a partir de una experiencia de elaboración de informes argumentativos en el curso de ingreso a la Universidad Nacional de La Matanza

Authors: Lacalle Juan Manuel , García Raquel
Published: July 2023

El presente trabajo tiene por objetivo analizar una experiencia de escritura digital y colaborativa que tuvo lugar en 2018, cuyo foco constaba en la redacción de un Informe de Lectura Crítico (ILC) utilizando la herramienta de editor de textos de uso libre en línea Gdocs. Para el análisis se tomaron como corpus los resultados obtenidos en una Guía de control y una muestra representativa de la producción resultante. Participaron cuatro grupos de estudiantes aspirantes a las carreras de Humanidades e Ingeniería de la Universidad Nacional de La Matanza (Buenos Aires, Argentina). Se parte de la hipótesis de que el análisis del proceso de escritura digital, producto de una negociación colaborativa, permite comprender mejor ciertas dificultades en la formulación de los informes descriptivo-argumentativos. Metodológicamente, se toma la última de tres modalidades de escritura que se llevaron a cabo: en conjunto, secuencial y en paralelo (Magadán, 2013), dado que se trata de la que efectivamente admite una labor a distancia y un análisis del intercambio digital. A su vez, se analizan los resultados obtenidos en la Guía de control con las respuestas sobre el trabajo colaborativo y las modificaciones que se generaron en la escritura digital. Luego, a través del historial de cambios, entre otras herramientas que facilitan el seguimiento de las distintas etapas de la redacción (Flower y Hayes, 1981), se considera que es posible detectar problemáticas específicas que surgen en el trayecto escriturario en díadas, para trabajar mejoras en la redacción, en términos generales, y alcanzar una mejor comprensión de la estructura del género informe de lectura, en particular.
Estudos e perspectivas teóricas em torno do lugar da leitura literária na escola

Authors: Vitoriano de Sousa Abraão , Da Silva Gonçalves Fabíola Mônica
Published: July 2023

Nas últimas décadas, a leitura literária empreende um objeto de investigação na área de Letras e de Educação, mobilizando pesquisas sobre escolarização do texto literário, formação de leitores e mediação de leitura. Atinente a essas discussões e motivado por um levantamento bibliográfico como parte do estado de conhecimento de uma pesquisa de doutorado, este artigo objetiva discutir o lugar da leitura literária na escola, focalizando perspectivas teóricas e estudos. Para tanto, partimos de uma pesquisa bibliográfica, amparada nas considerações de Zilberman e Silva (2008) e Louichon (2020) para discorrer sobre a conceituação de leitura literária; Karlo-Gomes e Cosson (2021) para explicitar suas perspectivas no ambiente escolar; e de Marchesano (2016) para refletir sobre esse fenômeno como objeto de estudo no universo acadêmico. Apreendemos, diante dos resultados apontados, que a leitura literária evoca um conceito em uso, geralmente associado ao campo do ensino, e que seu lugar na escola envolve lugares, face às diferentes incursões, interações e experiências que essa condição peculiar de leitura demanda. Vislumbramos também que a leitura literária concerne a um processo cognitivo e afetivo, no qual temáticas como o trágico tem significativa contribuição na formação de leitores nas primeiras séries de escolarização.
Bécquer: la electricidad y el yo poético

Authors: Morón Antonio César
Published: July 2023

Este artículo supone una nueva aproximación a la conceptualización teórica que fundamenta la creación poética de Gustavo Adolfo Bécquer. Para ello partiremos, por un lado, de sus propias reflexiones estéticas diseminadas a lo largo de su obra Cartas literarias a una mujer y ejecutadas de manera teórico-práctica en sus propias Rimas. Por otro lado, establecemos la hipótesis de una influencia procedente de los distintos ámbitos culturales en torno a la experimentación y desarrollo teórico de la electricidad, que acabará convirtiéndose en elemento necesario e inconfundible para la generación de un yo poético definitivamente moderno e innovador en cuanto a su aplicación estética.
Blogs sobre literatura infantil y juvenil firmados por mujeres y la perspectiva de género

Authors: López-González Rebeca Cristina , Saneleuterio Elia
Published: July 2023

Dentro de los estudios sobre literatura infantil y juvenil (LIJ), van en aumento los dedicados a los contenidos que la fomentan, aunque no son tantos los específicamente centrados en aquellos que se difunden de manera exclusivamente virtual. Entre las diferentes tipologías destacan los blogs, que siguen siendo un medio que difunde contenido permitiendo la colaboración y el intercambio entre visitantes, de ahí su denominación “blogs de LIJ 2.0”. La exploración de sus posibilidades como herramienta didáctica queda justificada en la medida en que estos permiten desarrollar la competencia lectora y orientan a los equipos docentes, al tiempo que abordan temáticas transversales en el aula, como la educación para la igualdad desde una perspectiva de género. El propósito de este artículo consiste en analizar cómo estos blogs incorporan la perspectiva de género en la construcción de su universo web; como estudio exploratorio, se decide comenzar por aquellos de autoría femenina. Tras un proceso de preanálisis de una muestra de diez, se analiza con detalle una selección de las aportaciones de cuatro blogueras. Para ello, se sigue una metodología de corte cualitativo que se fija en un total de 24 categorías, extraídas del trabajo de Álvarez y Chillida (2006). Los resultados obtenidos muestran que tres de los cuatro blogs analizados igualan o superan el 35% de categorías no cumplidas.
Bases teóricas para la educación literaria

Authors: Morales Lomas Francisco
Published: July 2023

A lo largo de estas páginas se estudian las claves para recuperar el aprendizaje de la literatura y el gusto por el texto literario desde la perspectiva de la Didáctica de la Literatura (DLI). Se indican todos los procesos cognitivos que se ponen en funcionamiento y se ofrecen al profesorado algunas claves didácticas para que se desarrolle del modo más adecuado el hábito literario y la capacidad crítica. Se estudian las diversas teorías didácticas de aprendizaje, así como las funciones, la formación del profesorado y la formación del individuo como ciudadano desde el ámbito literario que posibilita el desarrollo de las habilidades lectoras y la competencia literaria. Se aportan ideas sustanciales, recónditas y novedosas que pueden servir de guía para la educación literaria y su puesta en funcionamiento con objeto de desarrollar del modo lo más adecuado posible la competencia literaria y el amor por la palabra y la literatura.
Identidad lectora y crítica literaria: una propuesta de intervención a partir de dinámicas digitales de recomendación

Authors: Morales Sánchez María Isabel , Martín Villarreal Juan Pedro
Published: July 2023

El presente estudio analiza el grado de permeabilidad que las dinámicas digitales de recomendación literaria tienen entre estudiantes universitarios de primer curso de estudios filológicos y su pertinencia para potenciar la identidad lectora, la lectura por placer y la formación en crítica literaria. La experiencia desarrollada persigue el objetivo de implementar dinámicas booktuber en el aula, así como realizar el diagnóstico de su aceptación en la práctica lectora actual. En este sentido, la teoría y la crítica literarias se presentan como dos espacios idóneos para detectar cómo se transforman los hábitos lectores en el contexto digital. Asimismo, tratamos de detectar dos aspectos primordiales: en qué medida el hábito lector adquirido con anterioridad se mantiene en esta etapa de la educación superior y qué grado de conocimiento de dichas dinámicas poseen los estudiantes. El aprovechamiento de las comunidades booktuber para la discusión en torno a la literatura y el fomento de la lectura recreativa como primer paso para la capacitación crítico-literaria es, junto a la consolidación de la competencia e identidad lectoras, el motor que impulsa el desarrollo de esta iniciativa.
De Nador a Vic, de Laila Karrouch: Plusvalía semiótica para una memoria comunicativa

Authors: Fuentes González Antonio Daniel
Published: July 2023

A partir del relato De Nador a Vic (Karrouch, 2004), se propone una lectura sociolingüística que aborda el significado del excedente sociosemiótico que presenta Laila, su protagonista. Su periplo desde la periferia social, de familia obrera, inmigrante recién llegada, musulmana y rifeñohablante será aceptado matizadamente por la centralidad hegemónica catalana, que asume la plusvalía de su trabajo y el sobresfuerzo de su familia para cultivar un nuevo brote de literatura en catalán en diálogo asimétrico con esas condiciones socioeconómicas y ampliamente culturales que presentan estas nuevas catalanas. En todo caso, la novela opera como elemento de fortaleza para la lengua catalana, incorporando más voces en un beneficioso ensanchamiento de su capital simbólico. Asimismo, se discutirá la función memorialista, tanto comunicativa como cultural, que puede ofrecer este relato, también en pugna con las nuevas variaciones irradiadas desde la memoria digital. Todo ello se propone, de igual modo, como un elemento nada desdeñable para acercarnos más racionalmente al plurilingüismo constitucional español.
From Translating to Introducing: De qué hablamos cuando hablamos de marxismo

Authors: Read Malcolm K.
Published: July 2023

It is normal practice for works translated into English to abide by certain generic conventions with respect to their prefatory material. Traditionally, an ‘Introduction’ serves to locate the text in question within its relevant cultural context, whereas a ‘Translator’s Note’ occupies itself with the linguistic details and difficulties that arise from the practicalities of translation. The result: two different kinds of task, requiring different kinds of expertise, which are habitually delegated to different kinds of specialist. Such a division of labour has proved to be unsustainable in the case of Juan Carlos Rodríguez’s De qué hablamos cuando hablamos de marxismo. With this work, the task of translating fuses inexorably into that of interpreting. The present article explores the reasons why.
Abordagem no transtorno de escoriação: um campo em desenvolvimento
Authors: Silva Camila Soares da
Published: July 2023

O transtorno de escoriação (TE), ou seja, hábito de ocasionar lesões de pele, geralmente na face, causando prejuízo funcional é algo frequente na psicopatologia psiquiátrica, porém ainda pouco frequente na prática clínica. Menos de 20% dos pacientes com TE procuram tratamento. Neste trabalho, foi realizada revisão bibliográfica sobre o tema proposto e possibilidades de abordagens estabelecidas. O tratamento da TE com Terapia de Reversão de Hábitos (TRH) é considerado eficaz. Esta terapia é baseada em quatro técnicas: consciência, prática de resposta competitiva, motivação e generalização. Os principais psicofármacos avaliados foram os Inibidores Seletivos da Recaptação de Serotonina (ISRS), apresentando resultados controversos. Outra abordagem que também aborda a reversão de hábitos é o Protocolo de Rothbaum (RP), que associa o gerenciamento do estresse na gestão. Ao contrário da TRH, a RP aborda sintomas depressivos e ansiosos concomitantes. Ainda há alguma discordância em relação ao tratamento do Transtorno de Escoriação. Terapias com maior aplicabilidade apresentam melhores resultados para mudança de hábitos intrínsecos. Os psicotrópicos para controle dos impulsos corroboram com maior consciência e, consequentemente, evitação dos sintomas.
Mental Health and Well-BeingSupport for Thai University Graduates: A Qualitative Exploration of Pathways to Develop a Resilient Workforce
Authors:   Behavioral Science Research Institute, Srinakharinwirot University, Bangkok, Thailand, Mohan Kanu Priya
Published: July 2023

Providing appropriate resources to ensure university students’ mental health and well-being is critical for their future role in the workforce, especially when faced with a disruptive crisis such as the COVID-19 pandemic. This qualitative research was designed with twofold purposes in the context of Thai higher education. Firstly, to explore the impacts on university graduates’ psychosocial well-being and the support universities provided during the pandemic. Secondly, to examine gaps and develop recommendations for higher educational institutes to support students’ mental health and well-being regularly and in times of crisis. Data was collected through in-depth interviews with 23 participants, giving voice to key stakeholders: graduate students (n = 10), faculty members (n = 9), and working professionals (n = 4). Using inductive analysis, data was analyzed into two main categories and six themes. The first category reflected three themes: psychosocial challenges of students, impacts on mental health, and the support provided by universities. Themes in the second category described multi-level approaches for supporting university students. These findings substantiate the linkages between mental health support and developing a resilient workforce for the future and suggest pathways for strengthening these by collaborative participation of stakeholders in higher education.
A REVIEW OF COMPUTATIONAL BIOLOGY APPROACHES IN AGRICULTURE
Authors: Shylaja, Hemalatha N
Published: July 2023

Tremendous increase in the world population may lead to the shortage of food in the near future. In order to cop up with the growing need, agriculture field has to improve by producing quality wise products with large quantity. There are many challenges in the agriculture filed such as scarcity of water, shortage of labor, sudden climate changes and to address these issues, we need a makeover in the current scenario. With the evolution of Computation Biology in Artificial Intelligence, Machine Learning and Deep Learning, researchers use most modern genetic approaches with the help of GPS devices and RFID tags for the development of agriculture. This paper reviews the use of technology in agricultural automation and thereby give an insight into technology-based agriculture.
BRAIN TUMOR DETECTION USING DEEP LEARNING TECHNIQUE
Authors: Dr Ruban S  , Roopesh CH  , B Janardhana Biliya  , Mohammed Moosa Jabeer
Published: July 2023

Artificial intelligence technology is making a growing influence in the healthcare industry. Growth of abnormal cells or lump in your brain is known as a brain tumour. Many different types of brain tumours exist. Primarily brain tumors can be classified into benign (non -cancerous) and malignant (cancerous). According to a random-effects model, the total incidence rate of all brain cancers is 10.82 (95% CI: 8.63-13.56) per 100 000 person-years. The most aggressive and potentially fatal brain tumours, gliomas grow extremely quickly. Due to their uneven shape and diffused borders with the surrounding area, gliomas might be difficult to segment using computer-aided diagnostics. A lot of work is being done to improve the effectiveness of Brain tumour Detection in the early stages. The most popular technique for visualising important brain areas is magnetic resonance imaging (MRI). MRI processing is one of the components of image processing, which has recently experienced the largest growth. The growth Detection is frequently the first stage. This study explains the thresholding method for brain tumour identification. The suggested method can effectively be used to recognise and isolate brain tumours in MRI images. It functions as a useful tool for doctors who practise in this area. In this paper, a deep learning-based technique for segmenting brain tumours from several MRI modalities is given.
AUTOMATIC ATTENDANCE MANAGEMENT-SYSTEM BASED ON FACE RECOGNITION
Authors: Dr Jeevan Pinto  , Smijul Manoj EK  , Harshitha P
Published: July 2023

Student’s regular attendance in class is essential for performance evaluation and quality control in today's educational system. The majority of institutions continue to use insecure and time-consuming traditional methods such as calling names or signing documents. The problem of fake attendance and proxies can be solved by using an automatic attendance system. The main steps in this system are face detection and recognition. Following that, the detected faces can be compared against a data of student faces. This clever system will make it easier to keep track of students' attendance and records. The system is intended to provide a quick, secure, and accurate method of recording attendance. It eliminates the need for manual attendance tracking and recording, saving time and resources. The system also provides enhanced security by using biometric data to authenticate attendance records.
COMPARATIVE ANALYSIS OF MACHINE LEARNING ALGORITHMS FOR STROKE PREDICTION
Authors: Dr Rakesh Kumar B  , Rithika Adapa  , Rakshitha R
Published: July 2023

In the modern world, data mining is crucial to the medical industries' ability to forecast disease. A stroke can harm many different body organs. Over 110 million people worldwide suffer from strokes. In India, stroke ranks as the fourth most prevalent cause of death. Every 4 minutes, a stroke victim passes away, although up to 80% of strokes may be avoided if we could detect or anticipate a stroke in its early stages. According to the National Stroke Association, hemorrhagic strokes cause around 40% of all stroke deaths. The application of machine learning algorithms in early disease diagnosis is revolutionizing the field of health care. To determine if the patient had a stroke or not, supervised algorithms including Logistic Regression, K-Nearest Neighbour, Naive Bayes (NB), Support Vector Machines (SVM), Decision Tree, Random Forest, and XG Boost were utilized. Out of all the algorithms used, the highest accuracy of 95.98 % was obtained using XG Boost.
A CASE STUDY ON AUTOMATIC TRAFFIC SIGN RECOGNITION USING DEEP LEARNING
Authors: Santhosh B  , Sushmitha  , Harshini
Published: July 2023

In our work, we have reviewed algorithms such as SVM, CNN, Adaboost, etc. based on Deep learning. In Traffic sign recognition, the aim is to remind or warn drivers about the restrictions, dangers or other information imparted by traffic signs, beforehand. Since the existing signs are designed to draw drivers’ attention through their colors and shapes, processing these features is one of the crucial parts of these systems. In this study a Traffic Sign Recognition System, having the ability to the classification of traffic signs even with bad visual artifacts that originate from some weather conditions or other circumstances, is developed. Through our experiment using the CNN algorithm traffic sign recognition worked with 97% accuracy by using the German Traffic Sign Recognition Benchmark(GTSRB) dataset.
APACHE LOG4J VULNERABILITY
Authors: Sanjeevraddi. M. Satyaraddi  , Preetham D  , Manimozhi R
Published: July 2023

Apache Log4j2 is a widely used logging library for Java-based applications. In December 2021, several critical and severe software vulnerabilities, including CVE-2021-44228, were publicly disclosed, allowing remote code execution (RCE) and denial of service (DoS) attacks. To date, these vulnerabilities are considered critical and the consequences of their disclosure are far-reaching. The vulnerabilities potentially affect a wide range of Internet-of-Things (IoT) devices, embedded devices, and cyber-physical systems. In this paper, we explore the fundamental concepts of log4j and when these vulnerabilities are discovered. We also examine the areas where vulnerabilities are assessed with CVSS scores that are becoming known around the world.
A STUDY ON HOST MACHINE OVERLOAD DETECTION ALGORITHM IN CLOUD DATA CENTER
Authors: Namitha  , Kavitha  , Mr. Srinivas B.L
Published: July 2023

A critical step in the motion of virtual machine consolidation (VMs)process is host-overloading detection. A particularly intriguing method of avoiding host overload is to use machine learning to forecast future host demand. Host overflow detection, which attempts to foretell whether or not a physical server will become overloaded by VMs, is a crucial stage when consolidating VMs. Major cloud management difficulties in relation to clouds computing include energy utilisation and service level agreements (SLAs). The utilisation inside cloud computing data centres is rapidly growing to meet the large growth in demand for high-performance computing (HPC), storage, and networking resources for commercial and academic purposes. In this research, we attempt to study the performance of the detection of host overload algorithm in cloud datacenters.
A REVIEW ON ROBOTIC PROCESS AUTOMATION
Authors: Pallavi M O  , Anushree Raj
Published: July 2023

Robotic Process Automation, today it is easier for non-technical people to explain and promote Robotic Process Automation outside the complexity of information technology, especially with different disciplines. Robotic Process Automation methodology can provide instant benefits, especially in daily tasks, especially through less laborious work. Robotic process automation (RPA) emerges as a new technology which is focused on automation of repetitive, routine, rule-based human tasks, aiming to bring benefits to the organizations that decide to implement such software solutions. Since RPA is a relatively new technology available on the market, the scientific literature on the topic is still scarce. Therefore, this paper aims to investigate how the academic community defines RPA and to which extent has it been investigated in the literature in terms of the state, working methodology, and application benefits of RPA.
A REVIEW ON DIFFERENT APPROACHES OF POS TAGGING IN NLP
Authors: K Aparna  , Pooja Bhakta  , Suchetha Vijaykumar
Published: July 2023

Natural language processing (NLP) techniques have piqued the curiosity of many as information and communication technology has advanced rapidly. As a result, several NLP tools are being developed. However, there are several obstacles to building effective and efficient NLP systems that analyze natural languages effectively. Part of speech (POS) technique for identifying a specific phrase is tagging or words in a paragraph based on the context of the sentence/words inside the paragraph. Despite tremendous research efforts, POS tagging continues to encounter hurdles in boosting accuracy while minimizing false-positive rates and identifying unfamiliar terms. Furthermore, ambiguity must be avoided when tagging terms with distinct contextual meanings inside a phrase. Deep learning (DL) and machine learning (ML)-based POS taggers have recently been deployed as promising methods for identifying words in a particular phrase throughout a paragraph. In this post, we'll define part of speech POS tagging. It then provides comprehensive classification based on the well-known ML and DL approaches used in the design and implementation of part of speech taggers. A complete assessment of the most recent POS tagging publications is offered, with the weaknesses and merits of the suggested methodologies discussed. Then, in terms of the proposed techniques used and their performance assessment criteria, current trends and developments in DL and ML-based part-of-speech-taggers are given. Using the limitations of the offered techniques, we highlighted some research gaps and presented future research recommendations for developing DL and ML-based POS tagging.
A REVIEW ANALYSIS OF DETECTING FACE USING HAAR CASCADE ALGORITHM
Authors: Clarance Prajwan Dsouza  , Likhitha D.K.  , Nausheeda B S
Published: July 2023

Facial recognition is the biometric technology used in face detection. With the expansion of modern society, the demand for facial identification has been honestly vital. Face detection and recognition technology have advanced globally. There are various facial detection methods. It is due to the demand for safety, which includes permission, national protection, and other crucial circumstances. This paper will outline various face reputation strategies. Haar Cascade and local Binary sample caressed for the classification. As a result, Haar Cascade's accuracy is higher than that of the nearby Binary sample, but its execution time is longer than that of the nearby Binary pattern.
PREDICTING STUDENT PERFORMANCE: A COMPARATIVE STUDY OF CLASSIFICATION ALGORITHMS USED IN MACHINE-LEARNING
Authors: Ashlin Cress Fernandes  , Hrithik B  , S Aravinda Prabhu
Published: July 2023

Education is a deliberate action with certain goals in mind, such as passing on knowledge or developing skills and character qualities. Education is also seen as a crucial prerequisite for boosting self-confidence and giving people the tools they need to take part in the rapidly changing world of today. We can measure the growth of the educational institution using the students' progress. Analysing student academic performance is essential for academic institutions and educators to decide how to enhance individual student performance. Finding meaningful patterns in a lot of data is what machine learning is all about. Machine learning is quickly becoming recognized as a promising framework that offers a large range of tools, strategies, and procedures that make it possible to thoroughly analyse the data that is currently available in many sectors. Machine-learning techniques are helpful for improving the present educational standards and academic management in education. These techniques provide a route to various degrees of ranking, which is a discovery that alters how people view how to excel in the educational field. This research introduces a paradigm for predicting students' academic progress using machine learning (ML) algorithms. Through the use of several machine learning (ML) algorithms, this initiative analyses historical student outcomes and their unique traits, including family history, demographic distribution, age, and study attitude.
COMPARATIVE STUDY ON PREDICTIVE ANALYSIS OF NO-APP-PHOBIA
Authors: Christina E A  , Varenya Vinay  , Vanitha T
Published: July 2023

Technology's rise has facilitated growth but has also had a detrimental impact on humans. "No-App-Phobia" as we title it, based on an earlier study nomophobia, is characterized as fear and anxiety in those who cannot access any particular apps on their mobile phones. It could be due to various factors such as being unable to interact with their friends or family, feeling the loss of some entertainment, wanting to gain new information, and so on. WhatsApp, Instagram, Facebook, and Snapchat are the selected apps used for this study. In the suggested methodology, we take into account demographic variables and some NMP-Q i.e., Nomophobia Questionnaire as predictors of the ailment No-App-Phobia. This study aims to provide some insights into how people manage to live without the aforementioned mobile apps. To determine what level of No-App-Phobia a person suffers, this study uses a few Machine Learning Classification Algorithms. The findings of XGBoost have shown improved accuracy of 90.09% when compared to other current techniques like Random Forest, Decision Tree, and Gradient Boosting.
A NEURAL NETWORK METHOD TO PERFORM OPTICAL CHARACTER RECOGNITION OF PRINTED CHARACTERS
Authors: Antony Joyson D Souza  , Nethra T M  , Roshan D Suvaris
Published: July 2023

Text recognition has gained a lot of attention in the last few years. The Optical character recognition is one of the method used for text recognition .Also printed document with different font and also some low resolution images . This paper describes all the method used and also explanation for non-horizontal text which are used and explanation of historical of the text from old documents which have been digitalized. The Numerals and letters are recognized by Convolutional Neural Networks The results obtained by Convolutional Neural Networks seems to be promising in recognizing the characters in comparison to results obtained through other algorithms such as Support Vector Machines and Artificial Neural Networks. Characters are recognized by using Convolutional Neural Networks. The results obtained by Convolutional Neural Networks seem promising when it comes to detecting signs compared to the results obtained by other machine learning algorithms such as support vector machines and artificial neural networks.
DETECTING BRAIN TUMORS USING DIGITAL IMAGE PROCESSING
Authors: Shodhan  , Abhishek  , R Manimozhi
Published: July 2023

Processing of MRI is one of the components of image processing in the medical profession. Finding the tumor is frequently the first stage. CNN, ANN, SVM classifiers, Edge Detection (Using Sobel operator), Filtering, Thresholding, shrinking operation on image, Watershed method, bilateral segmentation, Active contour method, discrete wavelet transformation, Clustering, Fuzzy C-Means, K-Means and The Naive Bayes classifier are some of the algorithms used to detect brain tumor.
A STUDY ON HOST MACHINE UNDERLOADING DETECTION ALGORITHM IN CLOUD DATA CENTER
Authors: P.K Shrikrishna Prasad  , Nelson Pinto  , M. Hilal  , Mr. Srinivas B.L
Published: July 2023

In the present-day generation, cloud computing is getting more and more common. Additionally, every day more and more users are accessing cloud resources. Cloud computing enables end users to take advantage of a collection of distributed hosted resources such as storage, CPU, applications (both software and hardware), and services via the internet on an as-needed basis. There are many power-conscious approaches that attempt to minimize power consumption and host service level agreement (SLA) degradation. In this paper our plan is to study the performance of host machine underloading algorithm in cloud data center.
A CASE STUDY ON FACE EMOTION RECOGNITION USING MACHINE LEARNING
Authors: Santhosh B  , Nidhi  , Alen, Akshay
Published: July 2023

In the field of human-computer interaction, the identification of human emotions has proven to be a challenging task. TensorFlow only accepts data in the form of tensors, which are larger multidimensional arrays. In order to manage massive volumes of data, multi-dimensional arrays come in quite helpful. Distributed computing is the main advantage of TensorFlow, which is incredibly adaptable. Another algorithm evaluated is the standard one that is Keras, the deep learning models built with Keras can be created simply and quickly using TensorFlow because to its basic structure. Deep learning model definition is made simple with Keras for deep learning applications.
SURVEY ON FACE DETECTION AND RECOGNITION ALGORITHMS USING DEEP LEARNING
Authors: Rakesh B S  , Sujay K  , Anushree Raj
Published: July 2023

A facial recognition system uses a number of algorithms to recognize faces in digital photographs, identify people, and then confirm the authenticity of the acquired images by comparing them to facial images that have been saved in a database. Biometric technology is based on facial features of a person. Face detection and Recognition are major concerns in the area of biometric based systems and purposes. This process must ensure recognition accuracy and minimum processing time. Some cutting-edge techniques allow it to be retrieved more quickly in a single scan of the raw image and lie in a smaller dimensional space while effectively keeping face information. The techniques for face detection and recognition are classified on the bases of their target application. Also, the techniques are classified and analysed on the bases of their working domain as spatial, frequency, integrated and hardware support. Face detection is a challenging topic in computer vision because the human face is a dynamic object with a great degree of diversity in its appearance. There have been many different ways put forth, from straightforward edge-based algorithms to composite high-level systems leveraging cutting-edge pattern recognition techniques. With the help of biometrics, a facial recognition system can extract facial details from a picture or video. The data faceprint stored via facial traits is compared by the face recognition software using deep learning algorithms. Among them, face detection is a very potent tool for face recognition, image database management, human computer interface, and video surveillance. Face recognition is a rapidly developing technology that has been used extensively in forensics for purpose including criminal identification, airport security, and controlled access.
USE OF SUPER-RESOLUTION IN TEXT-DETECTION
Authors: K. Annapoorneshwari Shetty  , Lynal Bryan Dsouza  , Likith K Kottary
Published: July 2023

Text images are used to convey crucial information in a variety of applications, but it can be hard to recognise low-resolution text images. The majority of previous solutions use a cascaded technique to handle this issue in two steps: high-resolution text recognition and image super-resolution. It is quite difficult to recognise text from a poor-clarity image. The goal of super- resolution is to transform low-resolution images into high-resolution ones. The study examines, contrasts, and compares the technological difficulties, approaches, and efficacy of super-resolution in text detection. This research looks into the role of super-resolution in low-resolution picture text recognition.
COMPARATIVE ANALYSIS EVALUATION OF INTELLIGENT FACE RECOGNITION
Authors: Kirti Karapurkar  , Scully Ernesta Cardo  , Nausheeda B S
Published: July 2023

Intelligent face recognition has become a basic technology in work and life. This technology has been immensely used in various products and is well known by people in all sectors. However, the intelligent Face recognition systems developed at present lacks a universal method, and the designed system cannot be applied to all types of products. In order to improve face recognition systems and get better accuracy the main aim is to study and understand face recognition based on different algorithms to find out which is the best suitable method for the same that can be used universally. The study is based on the two widely known algorithms called PCA- Principal Component Analysis, LDA-Linear Discriminant Analysis, comparing the two in terms of face recognition accuracy on a popular dataset called ORL.