bluuebunny/crossref_metadata_2025 huggingface dataset:
Why Do Rumors Spread So Fast on Twitter?
Authors: Xie Weijie
Published: April 2023

This research aims to find out why rumors spread so fast on Twitter. So based on the concept of social networks and Katz Centrality, I decide to use Crawlers to collect data from Twit-ter and generate Real News Spreading Network, Rumors Spreading Network as well as graphs that illustrate their variation with post time delay. And I find that although the original size of rumors may not be as large as the original size of real news, more and more people spread rumors as time goes by, while the amount of people who read real news only grows a little. Whats more, it is users who are not very important(judging from their Katz Centrality values rank in certain news spreading networks) in the social network that play key roles in spreading the news(both rumors and real news). So I deduce that it might be ordinary users (they are not Internet celebrities, and dont have many followers) who should be aware of being informed of many rumors because they might be the key factors to spreading or stopping rumors.
Remover: Region-Based Inpainting Algorithm
Authors: Chen Huifeixin , Xu Yining
Published: April 2023

The existing method does not seem to be a killer application that combines image segmentation and inpainting to do image processing tasks for ordinary people. Therefore, we propose a region-based inpainting method, namely Remover. Remover is a method that can analyze the content of images, perform automatic image segmentation tasks with or without manual intervention, and inpainting the segmented part to achieve unwanted objects appearing to have been removed from an image without affecting the content of the image. With the help of open-source code and technical support. Remover stands as an Ubuntu desktop application. The code is under development and will be available at https://github.com/WPCJATH/remover soon.
Deep learning based depression detection from social media text
Authors: Anbukkarasi S. , Jeevapriya S. , Kaaviyaa A. , Lawvanyapriya T. , Monisha S.
Published: April 2023

Depression perception be a complex task on social media Complex properties associated with mental illness. There was a recent development in this area of research; social media platforms have established themselves as growing popularity. A basic part of people`s daily life. Social media platforms and their users share goals Relationships where the user's personal life is reflected on these platforms at several levels. Aside from the complexity associated with detecting mental illness through social media platforms, it is inherently difficult to obtain an enough annotated training data, so a supervised deep learning approach such as deep neural networks the implementation has not yet been widely implemented. We tried to find them for these reasons. The most effective deep learning model of the architectures selected in the previous architecture Achievements of supervised learning methods. The selected model will be used for recognition online users showing depression. Due to the limited amount of unstructured text data Extracted from social media text. Recently, Deep learning has been effectively used to a variety of application challenges, including stock market forecasting, traffic flow and accident risk forecasting, and mental disease diagnosis. Furthermore, deep learning has been used to predict sadness on social media and has outperformed classical machine learning method.
Troll Meme Classification for Tamil Memes Using Convolutional Neural Network
Authors: Nithya K. , Sathyapriya S. , Sulochana M. , Thaarini S. , Dhivyaa C.R.
Published: April 2023

Memes have become a new type of internet communication. It has the ability to instantly disseminate anger, offensiveness, and violence. Because of its regional meaning, classifying memes is difficult.. This work presents here a computational model of classifying Tamil memes using convolutional neural networks. Convolutional neural networks have the potential to learn, adapt, and rearrange themselves. As a result, it can extract features automatically applying prior knowledge of existing categories, avoiding the time-consuming feature extraction process used in older methods in images. The basic layer of MobileNet is made up of depth-wise separable filters, also referred to as depth-wise separable convolution. The network structure is another feature that boosts performance. It utilizes very less than computation power while applying transfer learning. This network has reduced parameters and computation cost. Skip connections, or shortcuts, are used by residual neural networks to jump past some layers. Residual connections allow parameter gradients to travel more easily from the output layer to the network's prior layers, allowing for the training of deeper networks. Higher accuracies on more demanding tasks may arise from the greater network depth. AlexNet is a leading architecture for any image identification task, and it could have a lot of applications in the artificial intelligence field of computer vision. In the future, AlexNet may be used for image classification jobs more than CNNs. This work aims to classify Tamil memes using Mobilenet, Resnet and hyper parameter turned AlexNet.
An investigation of IRIS Recognition Techniques: A Literature Survey
Authors: Divya C D , Rajendra Dr. A B
Published: April 2023

Iris is a colored muscle located within the eye that helps to regulate the amount of light that reaches the eye. It has some specific textural details that is not easily altered or manipulated, making it a characteristic that is ideally suited to biometric systems. Iris has been considered in the field of biometric applications for authentication purpose. The main purpose of this study is, due to the stability and unique feature available in Iris region. Iris patterns play a major role in many possible identification or authentication applications due to their uniqueness, durability and stability, universality. Iris recognition techniques have evolved tremendously in biometric identification and authentication systems over the past two decades, since their evolution. The technique of Iris recognition is quantifiable, robust, and highly accurate so that it achieves the fundamental tenant of ideal biometric technology. Purpose of this paper is to include a timeline analysis of different iris recognition techniques and the development of a novel algorithm for the iris recognition system. This paper also discusses various methods used in performing the iris recognition measures involved.
Game Theory Classification in Cybersecurity: A Survey.
Authors: Ogunbodede Olajide O.
Published: April 2023

Cyber security is a field designed to protect computers connected to the internet from attacks, and hence prevent unauthorized users from accessing the sensitive data present in it. Lately, it has witnessed intensified research from both academia and the industry. However, traditional cyber security technologies still face inadequacies in tackling the ever-dynamic frontier of cyber-attacks as a result of inability to incorporate behavioral tendencies of adaptive and intelligent adversaries in their security models. Game theory is often the first choice as a mathematical tool among researchers and industry practitioners for modeling conflict and cooperation among intelligent and rational actors. With its rich modeling and analytical techniques, and ability to forecast cyber-attacks and optimal defense strategies accurately, cyber security attacks are much easier to mitigate than traditional approaches. This paper reviews several game theoretic concepts and applications in the never-ending dynamic contradiction between the defender and the attacker. These concepts are classified according to applications and scenarios. Present research challenges are discussed and future directions for the need to incorporate attackers risk attitude as a determinant factor of the Nash Equilibrium is emphasized in the malicious insider threat scenario.
Write-Deck: An Enriched Social Reading Fan Fiction Site With Recommendation System
Authors: Sallehuddin Muhammad Afnan Bin Mohd , Haw Su-Cheng , Ng Kok-Why
Published: April 2023

The Covid-19 pandemics have pushed individuals away from having any personal contact with each other, in a long period of isolation. Spending time on relaxing activities such as writing fan fiction help alleviate the negative effects of long isolation. Writer-Deck is a system to read fan and original fiction online which is enriched with a recommender system. Writer-Deck aims to provide users with simple ways to find the most likely fiction for leisure reading, simple navigation to access information on their favourite fiction, the ability to save to the library to read later and notification of a new chapter to be released. In addition, the review and rating functions are available for writers to gauge their writing skills. The usability test on 30 respondents indicated that on average 76.6% of respondents respond positively in terms of navigation, design and layout, features, search and recommendation.
Machine Learning for Exploration of the Factors Affecting the Building Energy Usage: A Case Study
Authors: Asif Sumaira , Saba Tanzila
Published: April 2023

This paper presents a thorough exploratory analysis of one of the data research tracks involving the building energy usage data of different cities of France. To gain a deep understanding of the dataset and the various attributes that comprise the data, we performed an exploratory data analysis and used data visualization to study the different variables and the correlation that exists between them. This was done to determine which factors really contribute to having a huge effect on the energy (gas) consumption leading to climate change. In our study, we also predicted the level of its consumption using a Decision-tree based algorithm and Light GBM, which was found to give satisfactory results.
Human Facial Expression Recognition based on Attention Mechanism
Authors: Yang Zezhong
Published: April 2023

In the current study of facial expression recognition, CNNs have been extensively used and proven to be useful models. In this work, we analyze and improve VGG-16 network by embedding SENet between the convolutional layers and three fully connected layers of the original network to form the SE-VGG-16 network. The proposed network architecture is able to extract additional spatial information regarding interdependencies among feature channels, which is complementary to facial expression recognition. The experiment is performed on dataset FER2013 and improve the accuracy with top-1 error 33.5.
Maimai Chart Generation Model Based on Machine Learning Algorithms
Authors: Lin Tianrun
Published: April 2023

Chart generation for rhythm games is a demanding task that requires specialized design knowledge. In the past, there were several models proposed to generate charts by AI for different rhythm games. However, no full model has yet been designed for Maimai DX. In this paper, the author presents a model with high modularity. The main research approach is based on prior models and fits existing algorithms into the model presented by the author. The main purpose of this paper is to propose a possible chart generation model for Maimai DX and to propose improvements for future iterations. The model is designed by blocks, and each block is composed of specific goals and algorithms. The design is characterized by a high degree of modularity in the model, which provides space for future iterations because parts can be easily replaced.
EmpAMPS: A Secure Biometrics Framework for Mitigating the Menace of Ghost Workers in Developing Economies
Authors: Egwuche Ojonukpe Sylvester , Gabriel Arome Junior
Published: April 2023

Strong inclinations towards controlling and monitoring employees are becoming a more prevalent feature of working life. The success of any organization is directly proportional to the contributions of the workers either from executive level or operational level. The objective of managing workers attendance in working place is to improve profits and to minimize costs. Biometric authentication is an exciting technical improvement in recent times over other methods of human. A secure Employees Attendance Management framework (Em-pAMS) with remote monitoring that curtails the influx of ghost workers in public civil service integrated with a web-based, real-time monitoring tool that allows people in management positions to see when their employees check in and out, for informed decision-making during performance appraisal that avoids buddy-punching is presented. One major strength of the proposed system is that it provides a data security structure for ensuring the security of biometric templates (the fingerprints acquired from workers during the enrolment phase.
Diabetes and heart disease identification using biomedical iris data
Authors: Punia Sanjeev Kumar , Kumar Manoj , Pathak Surendra Kumar , Cheng Xiaochun
Published: April 2023

The World Health Organization (WHO) report shows that Heart disease is the major cause of death all over the world i.e. nearly 21.2 million people die every year directly or indirectly from Cardiovascular (Heart) diseases estimated 32% of all deaths worldwide. Whereas, Diabetes is at the ninth position for the death all over the world i.e. nearly 3.7 million people die every year from diabetes estimated 6.61% of all deaths worldwide. The Heart and Pancreas organ play a most important role in human being. The blood flows in all parts of the body through heart. The function of pancreas is to regulate maintain the insulin levels that is responsible for diabetes. The detection of heart disease and diabetes takes too much time and very costly process. In our research, we develop a Heart Disease and Diabetes Identification System based on Iris Healthcare Kiosk. We proposed a desktop system application that detects these diseases through the Iris. The process starts by taking the left Eye photograph of the patient's through Eyeronec (company name) camera and perform intermediates operations of target cropping, pre-processing, auto-cropping (through integral projection and removing sclera), heart regions of interest (ROI) measuring, pancreatic measuring, extracting the feature and finally classify in the result. The classification result shows that 83% tests are successful, 11% tests are scant whereas 6% tests became fail. The operation is performed on 32 different training digital data sets and final result is labelled as normal or abnormal. The result shows that accuracy of our proposed system in heart disease and diabetes are 86.36% and 90.91% respectively.
Defense communication system AWS
Authors: P. Prakruthi , Yashawanth K , D. Chethan , Kumar Bhuvan , N. Chandana , D. Divya C , D. Radhika A
Published: April 2023

AWS is an upcoming technology along with decentralized infrastructure. This knowledge is employed in variety of different domains including cloud computing, finance, energy, messaging and others. AWS really takes up vital part in military message passing which enables certainty and safety of messages by dodging changes created to data that is collected in blocks. AWS needs the access where each user is an authorized user. In this paper we will be proposing different cryptographic techniques along with AWS technology to ensure safe and secure passage of messages between different teams in the defence sector.
Биологическая оценка свойств Fe-содержащих комплексов
Authors: Карапетян А. Г. , Даллакян А. М. , Петросян Ж. Г. , Григорян В. С. , Корольков И. В. , Зиберт А. В.
Published: April 2023

Հոդվածում ներկայացված է երկաթ պարունակող միացությունների՝ Fe3O4PreTeosGpTAllylAmine (Fe3O4) և Fe2O3GpTMSAllylAmine (Fe2O3), ազդեցությունը սպիտակ, սեռահասուն առնետների օրգանիզմի վրա՝ միջին քաշով 185գ: Այս աշխատանքում բացահայտվել են Fe3O4 և Fe2O3 մետաղական համալիրների թունաբանական հատկանիշները՝ որոշելով ապրելունակությունը, կյանքի միջին տևողությունը, արյան որոշ ցուցանիշներ (էրիթրոցիտների, լեյկոցիտների, թրոմբոցիտների, հեմատոկրիտի և հեմոգլոբինի պարունակությունը, ինչպես նաև արյան մակարդման ժամանակը) և բջջագենետիկ պարամետրերը (միտոտիկ ինդեքսը, քրոմոսոմային շեղումները և պոլիպլոիդ բջիջների քանակը):
Ապրելունակության և կյանքի միջին տևողության վերլուծությունը ցույց է տվել, որ Fe3O4-ը և Fe2O3-ն ունեն ցածր տոքսիկություն: 420 մգ/կգ Fe3O4 դոզան առաջացրել է կենդանիների միայն 10% մահ (LD10/7), որից կարելի է եզրակացնել, որ փորձարկման նյութը ցածր թունավոր է (քանի որ պահանջ- վում է մոտավորապես 4-5 անգամ ավելի բարձր դոզա՝ LD50/7 ստանալու համար): Ինչ վերաբերում է Fe2O3 նյութին, ապա այդ նյութի նույն չափաբաժինը փորձի ավարտին (30-րդ օրը) 3 կենդանիների մահվան պատճառ է դարձել, ստացվել է նաև LD20/7, ինչը ցույց է տալիս, որ Fe2O3-ն ավելի թունավոր է, քան Fe3O4-ը։ Fe2O3 ներարկումով խմբի կյանքի միջին տևողությունը 22,7 օր է:
The article presents the effect of iron-containing compounds Fe3O4PreTeosGpTAllylAmine (Fe3O4) and Fe2O3GpTMSAllylAmine (Fe2O3) on the body of white, outbred, mature rats with an average weight of 185g. In this work, the toxicity of metal complexes Fe3O4 and Fe2O3 was revealed by determining the survival rate, average life expectancy, some blood parameters (the number of erythrocytes, leukocytes, platelets, hematocrit and hemoglobin content, as well as blood clotting time) and cytogenetic parameters (mitotic index, chromosomal aberrations and polyploid cells). Analysis of survival and average lifespan showed that Fe3O4 and Fe2O3 have low toxicity. A dose of 420 mg/kg Fe3O4 caused only 10% death of animals (LD10/7), from which it can be concluded that the test substance is of low toxicity, because a dose approximately 4-5 times higher than that used to obtain LD50/7 is required. As for the substance Fe2O3, the same dose of the substance caused the death of 3 animals by the end of the experiment (30th day), LD20/7 was also obtained, which indicates that Fe2O3 is more toxic than Fe3O4. The average life expectancy of a group with Fe2O3 injection is 22,7 days
Parent-Teacher Partnership of Grade 11 GAS students of Marigondon Senior High School in the Implementation of Modular Distance Learning Print: Basis for an Action Plan
Authors: Lapatha Lilibeth A , Garcenila Lea Fe P , Wahing Patrick A
Published: April 2023

This study aimed to know and explore the Parent-Teacher Partnership of Grade 11 GAS Students of Marigondon Senior High School in the implementation of modular distance learning print to provide an action plan as the Covid-19 pandemic brought causes to the educational system. The study employed a descriptive-evaluative research design to ascertain the level of involvement of teachers and parents, as well as the issues and challenges they had encountered while using the Modular Distribution System. The study employed both Quantitative and Qualitative Approaches in data collection and interpretation by anchoring Katz’s Model wherein it implied that the teacher’s role is specific to education, whereas the parents’ role is universal in all aspects of the child’s life. In addition, the Likert Scale was used in this section of the survey questionnaire – checklist, and the researchers provided open-ended questions in the interview guide to answer the research objectives that were answered by 20 (twenty) parents and 20 (twenty) teachers from GAS 11 in Marigondon Senior High School. The result of the study indicated that in terms of providing communication and instruction to the learners, both teachers and parents are cooperative but in terms of struggles and challenges, teachers did more struggle than the parents. Furthermore, the study found a positive relationship between parents and teachers because they both participated in modular-print setup. With this, parents were advised to reduce the act of tolerating their children by shouldering all responsibilities in terms of complying with such academic requirements. Finally, the effectiveness of modular-print setup was possible with proper engagement and contribution from both parents and teachers.
Lekplatsers kvalitet och kvantitet över tid - Ett projekt inom fortlöpande miljöanalys
Authors: Schneider Julia , Jansson Märit
Published: April 2023

Offentliga lekplatser är viktiga för barns lek och hälsa som en del av en barnvänlig bebyggd miljö. Det har tidigare saknats en nationell överblick över svenska lekplatsers kvalitet och kvantitet. I detta miljöanalysprojekt har antalet allmänna, kommunala lekplatser i Sverige beräknats och jämförts med tidigare insamlade data om antal i ett urval kommuner för att se förändring över tid. Ett forskningsbaserat verktyg för att analysera lekplatsers kvalitet har också testats och utvärderats. Antalet lekplatser i Sverige som är öppna för allmänheten utan inskränkning i tid samt förvaltas av kommuner har sammanställts med hjälp av kommunhemsidor och e-post eller telefonkontakt med tjänstepersoner. Antalet uppskattas vara 9590 stycken hösten 2022. Tre grupper av tidigare insamlad data möjliggör att se förändring i antal lekplatser i ett urval kommuner under två decennier. Från 2001 till 2022 beräknas antalet lekplatser i de norrländska kommunerna ha minskat med 48 %. Från 2005 till 2022 har antalet lekplatser i 20 andra kommuner minskat med 32 %, och från 2017 till 2022 har antalet hos totalt 52 kommuner minskat med 8 %. Även om vissa lekplatser kan ha tagits över av annan förvaltning, tyder sammanställningen på en tydlig minskning av antalet lekplatser förvaltade av svenska kommuner under 2000-talet, möjligen med hälften. Vad minskningen beror på har inte undersökts närmare i studien, men kommentarer från tjänstepersoner vittnar om en kombination av besparingar, eftersatt underhåll och nya krav på säkerhet och tillgänglighet. Det har ofta lett fram till lokala strategier som främjar färre lekplatser. Verktyget för att bedöma lekplatsers kvalitet är baserat på en sammanställning av forskning från 2010 och har vidareutvecklats i flera steg. I projektet har det testats av tjänstepersoner på 28 lekplatser i 11 kommuner, där spridningen i resultat var stor. Detta ger också grund för fortlöpande analys av kvalitet på just dessa 28 lekplatser. Med utgångspunkt i återkoppling från tjänstepersoner som har testat verktyget, har det justerats och presenteras här i sin senaste version, kallad Analysverktyg för lekmiljöer, ALM. Verktyget har visat sig vara användbart i flera faser. Dock kan användningen av verktyg för att analysera kvalitet hos lekplatser problematiseras då det riskerar att bland annat främja likformighet. Resultaten och diskussioner med projektets referensgrupp samt inspel från tjänstepersoner har stakat ut flera möjliga vägar framåt för fortsatta studier om lekplatser. Dessa kan omfatta mer detaljerade studier av olika typer och storlekar, av olika förvaltningsformer eller av de analyser som ligger bakom förändringar hos olika kommuner.
OBSERVAR, ABSORVER E DISCUTIR: AULA DE CAMPO SOBRE PATRIMÔNIOS DO MUNICÍPIO DE CAETITÉ/BAHIA
Authors: Fausto Rita de Cassia Alves Malheiros , Gonçalves Sammyra Karla Pereira , Batista Emili Fraga de Macedo , Silva Neuma Rosa de Jesus , Souza Maryana Gonçalves , Silva Caroline Pereira , Amado Laura Carolline Fernandes Alves , Souza Janielson Silva de Jesus
Published: April 2023

O presente artigo objetiva compartilhar a experiência obtida por meio das visitas ao Sítio Arqueológico Moita dos Porcos e parte dos patrimônios do município de Caetité, localizado no interior da Bahia, discutindo sobre educação patrimonial, preservação, conservação e riqueza dos patrimônios. Essa aula de campo teve como público os bolsistas residentes do Programa Residência Pedagógica, desenvolvido no Colégio Estadual Pedro Atanásio Garcia (CEPAG), sendo os respectivos bolsistas licenciandos em História, pela Universidade do Estado da Bahia (UNEB) – Campus VI.  Inicialmente, foi realizada uma oficina, com os residentes, sobre patrimônios, atividade ofertada pelo Museu do Alto Sertão da Bahia (MASB) e pela Associação da Memória e Patrimônio Cultural de Caetité (AMPC). Posteriormente, aconteceram as visitas ao Sítio Arqueológico Moita dos Porcos e a alguns patrimônios de Caetité, como exemplo do Arquivo Público Municipal de Caetité, a casa do Professor Alfredo, a Igreja de São Benedito e a Catedral de Nossa Senhora Sant'ana. Após a aula de campo, foi realizado um levantamento bibliográfico sobre educação patrimonial, que fundamentou a produção escrita do artigo. A experiência obtida com essa aula de campo possibilitou o conhecimento acerca da riqueza patrimonial contida no município de Caetité, bem como da sua importância histórica e cultural, juntamente com a necessidade de sua conservação e preservação. Além disso, a aula de campo permitiu aos residentes maior conhecimento teórico e prático sobre Educação Patrimonial, agregando em sua bagagem docente e científica.
A DESIGUALDADE RACIAL NO BRASIL QUE SE ARRASTA AO LONGO DO SÉCULO XXI
Authors: Pimenta Jucilane Costa , Silva Pablo Yuri Ferreira
Published: April 2023

Este artigo expõe como sucedem as relações étnico-raciais e suas desigualdades no Brasil em pleno século XXI. Em vista de dados estatísticos recentes que comprovam o quão desigual são os percursos vivenciados por pessoas negras em comparação com as trajetórias de pessoas brancas nos meios políticos, econômicos e sociais. O impacto da pandemia foi sentido em âmbitos gerais, independente do gênero, idade e classe social, mas nota-se que as classes jovem e a negra foram as mais afetadas, intensificando a crise sócio econômico em grande parte do mundo, escancarando a desigualdade social. Entre os diversos setores impactados, destacamos a educação, em especial a permanência do negro nas instituições de ensino. Esta pesquisa foi desenvolvida tendo como objetivo geral de investigar como a população branca, em pleno século XXI, foi e é privilegiada se comparando com o negro e como a faces da descriminação e acesso aos bens e serviços nos dias atuais. O caminho metodológico partiu da revisão de literaturas que aborda a questões raciais, nos últimos anos, somada da abordagem de diferentes publicações, no âmbito da educação, compondo algumas considerações teóricas sobre o papel da educação na luta contra o racismo. A princípio, nota-se bastante dificuldade para entender e decodificar as manifestações do racismo brasileiro, por causa de suas peculiaridades que o diferenciam das outras formas de manifestações de racismo acima referidas, criando o que se chama de “mito de democracia racial brasileira”, que se segue como uma crença que não existe mais racismo. Em síntese, os resultados apontam que as dificuldades ainda são inúmeras, desde o desafio de implementar uma educação étnico-racial que reflita conteúdos, práticas e posturas, inclusive no cenário educacional. Passaram-se mais de 34 anos de implantação da Lei 7.716/89, e indubitavelmente, por outro lado, verificam-se os avanços no panorama educacional. Diversas propostas de desejo a igualdade racial, foram instauradas e colocadas em destaque, além da publicação de obras com o intuito de instrumentalizar professores e professoras de todos os níveis para o cumprimento das diretrizes estabelecidas.
PERILAKU MAKAN, KEBIASAAN SARAPAN, PENGETAHUAN GIZI DAN STATUS GIZI PADA REMAJA SMA DI JAKARTA
Authors: Arista Christine Novi , Gifari Nazhif , Nuzrina Rachmanida , Sitoayu Laras , Purwara Lintang
Published: April 2023

Remaja termasuk kelompok yang rentan mengalami berbagai masalah gizi seperti gizi kurang maupun gizi lebih. Remaja cenderung mengalami perubahan dan akan timbul berbagai permasalahan dan perilaku di dalam kehidupan remaja baik dari perilaku makan, kebiasaan sarapan dan juga perubahan kebiasaan tersebut salah satunya diakibatkan oleh pengetahuan gizi  yang berdampak pada perubahan status gizi yang tidak normal. Mengetahui ada hubungan antara perilaku makan, kebiasaan sarapan, pengetahuan gizi dengan status gizi pada remaja SMA di Jakarta. Desain penelitian ini cross sectional. Jumlah sampel penelitian sebesar 212 orang. Cara pengambilan data tersebut menggunakan kuesioner perilaku makan, kebiasaan sarapan, pengetahuan gizi sedangkan status gizi diperoleh berdasarkan IMT/U. Uji statistik yang digunakan adalah uji chi-square. Hasil penelitian, sebagian besar responden yang memiliki status gizi normal sebanyak 119 orang (56,1%). Remaja dengan perilaku makan baik sebanyak 137 orang (64,6%). Remaja dengan kebiasaan sarapan baik sebanyak 158 orang (74,5%). Remaja dengan pengetahuan gizi kurang sebanyak 118 orang (55,7%). Terdapat hubungan antara perilaku makan (p = 0,001, nilai OR = 0,351), kebiasaan sarapan (p = 0,030, nilai OR = 2,087), pengetahuan gizi (p = 0,043, nilai OR = 0,546) dengan status gizi remaja SMA di Jakarta. Perilaku makan, kebiasaan sarapan dan pengetahuan gizi merupakan faktor yang mempengaruhi status gizi.
HUBUNGAN ASUPAN ZAT GIZI MAKRO DAN AKTIVITAS FISIK DENGAN STATUS GIZI PADA REMAJA
Authors: Khoerunisa Dania , Istianah Isti
Published: April 2023

Remaja merupakan suatu kelompok yang rawan mengalami masalah gizi, seperti gizi lebih dan gizi kurang. Masalah gizi yang terjadi dipengaruhi oleh ketidakseimbangan antara aktivitas fisik dan asupan zat gizi makro pada remaja. Penelitian ini untuk menganalisis hubungan asupan zat gizi makro dan aktivitas fisik dengan status gizi pada remaja. Jenis penelitian ini Obervasional Analitik dengan menggunakan design Cross Sectional. Teknik pengambilan menggunakan simple random sampling dengan jumlah responden 130 siswa kelas VIII dan IX di SMP PGRI 12 Kota Bogor. Pengumpulan data asupan zat gizi makro dengan wawancara menggunakan form food recall 2x24 jam, aktivitas fisik menggunakan kuesioner APARQ, dan status gizi menggunakan pengukuran berat badan dan tinggi badan dihitung dengan IMT/U. Analisis statistik yang digunakan adalah uji Chi-Square. Terdapat 70,8% responden memiliki status gizi baik. Dari hasil bivariat menunjukkan terdapat hubungan yang signifikan antara asupan energi (p = 0,001), karbohidrat (p = 0,002), protein (p = 0,001), lemak (p =0,003), aktivitas fisik (p = 0,001) dengan status gizi pada remaja.  Dapat disimpulkan bahwa adanya hubungan antara asupan zat gizi makro yaitu energi, karbohidrat, protein, lemak dan aktivitas fisik dengan  status gizi pada remaja.
PENGARUH PEMBERIAN KOPI DENGAN KOMBINASI GULA AREN DAN MADU TERHADAP ENDURANCE DAN POWER
Authors: Febriani Selvia , Pradana Arya Kemal , Manggabarani Saskiyanto
Published: April 2023

Latihan fisik berpotensi meningkatkan denyut nadi karena semakin tinggi aktivitas fisik maka semakin meningkatkan aliran darah untuk menyuplai oksigen, dan nutrisi ke seluruh jaringan otot. Tujuan penelitian adalah mengetahui pengaruh dan perbedaan antara pemberian kopi berkombinasi gula aren dan madu terhadap endurance dan power pemain futsal putra. Sampel dalam penelitian ini adalah pemain futsal putra SMK Makarya  berjumlah 18 subjek, diambil dengan teknik purposive sampling, terbagi menjadi 3 kelompok yaitu kelompok pemberian kopi dan gula aren, kopi dan madu dan pemberian air mineral sebagai kontrol. Metode penelitian ini adalah Experimental dengan Nonequivalent Control Group Design. Hasil penelitian terdapat pengaruh sebelum dan sesudah perlakuan power pada pemberian kopi dan gula aren p-value 0,014, kopi dan madu p-value 0,016, dan air mineral p-value 0,002, sedangkan pada endurance ada pengaruh sebelum dan sesudah melakukan endurance pada pemberian air mineral dengan nilai p-value 0,009. Power dan endurance tidak ada perbedaan pada pemberian kopi dan gula aren, kopi dan madu, dengan nilai p-value 0,442, dan 0,188. Adanya peningkatan power dan endurance lebih tinggi pada kelompok pemberian kopi dan gula aren dibandingkan dengan kopi dan madu, dan air mineral. Kesimpulan adalah kelompok yang mengkonsumsi kopi dan gula aren lebih efektif meningkatkan power dan enduranceberdasarkan nilai rata-rata. Sebaiknya dilakukan optimalisasi formula minuman kopi kombinasi sebelum diterapkan pada atlet.
HUBUNGAN TINGKAT STRES DAN ASUPAN NATRIUM DENGAN TEKANAN DARAH PADA PASIEN HIPERTENSI
Authors: Khasanah Tri Ardianti
Published: April 2023

Hipertensi merupakan masalah yang besar dan serius di dunia. Selain prevalensinya yang tinggi dan cenderung meningkat, juga karena tingkat keseriusan penyakit ini yang menyebabkan timbulnya penyakit lain seperti jantung, stroke, gagal ginjal, bahkan kematian mendadak. Salah satu faktor yang mempengaruhi tingkat morbiditas dan mortalitas penderita hipertensi adalah tingkat stres dan asupan natrium. Penelitian ini bertujuan untuk mengetahui hubungan antara tingkat stres dan asupan natrium terhadap tekanan darah pada pasien hipertensi rawat jalan RSUD Dr. Moewardi di Surakarta.Jenis penelitian yang digunakan adalah penelitian observasional analitik dengan pendekatan cross sectional. Teknik pengambilan subyek menggunakan consecutive sampling dengan jumlah subyek penelitian sebanyak 32 subyek. Tingkat stres diperoleh dengan kuesioner Holmes Rating Scale, sedangkan asupan natrium diperoleh dengan metode Recall 3x24 jam yang tidak berturut - turut. Uji korelasi yang digunakan adalah uji Pearson Product Moment. Pasien hipertensi rawat jalan RSUD Dr. Moewardi di Surakarta yang mengalami stres ringan 50%, stres sedang 40,6%, dan stres berat 9,4%. Seluruh pasien hipertensi rawat jalan RSUD Dr. Moewardi di Surakarta memiliki asupan natrium cukup. Sebesar 71,9% pasien hipertensi yang memiliki tekanan darah sistolik tak terkendali dan sebesar 81,2% pasien hipertensi yang memiliki tekanan darah diastolik tak terkendali. Tidak ada hubungan tingkat stres dan asupan natrium dengan tekanan darah pada pasien hipertensi rawat jalan RSUD Dr. Moewardi di Surakarta.
PENGARUH MEDIA E-BOOKLET TERHADAP PERUBAHAN PENGETAHUAN DAN PRAKTIK PEMBERIAN MAKANAN PENDAMPING ASI
Authors: Dewi Gusti Kumala , Yovani Yovani
Published: April 2023

Indonesia mempunyai tiga beban masalah gizi (triple burden) yaitu gizi buruk, stunting dan obesitas. Hal ini disebabkan oleh banyak faktor salah satunya adalah MP ASI pada balita, yang akan berpengaruh pada pertumbuhan dan perkembangan balita. Rendahnya pengetahuan ibu memiliki peran penting dalam asupan makan balita karena akan menghasilkan menu yang kurang baik. Usaha untuk meningkatkan pengetahuan dan praktik pemberian MP ASI dilakukan pemberian edukasi dengan media e-booklet. Penelitian ini bertujuan untuk menganalisis pengaruh media e-booklet terhadap perubahan pengetahuan dan praktik pemberian MP ASI di Kecamatan Pangkalan Kerinci. Desain studi adalah desain ekperimental semu dengan rancangan pretest-postest without control group desain. Populasi adalah semua ibu yang memiliki balita usia 6-24 bulan di Posyandu Kecamatan Pangkalan Kerinci. Sampel adalah 60 ibu yang dipilih dengan metode purposive sampling. Hasil penelitian menunjukkan perbedaan yang signifikan antara pengetahuan dan praktik pemberian MP ASI sebelum dan setelah diberikan edukasi dengan media e-booklet (p<0,05). Mean skor pengetahuan meningkat 2,5 dan praktik meningkat 2,13. Dari hasil disimpulkan bahwa ada pengaruh media e-booklet terhadap perubahan pengetahuan dan praktik pemberian MP ASI di Posyandu Kecamatan Pangkalan Kerinci.
Yoga AI Assistant with ReactJS
Authors: S Bhat Gayathri , IL Saritha , Hariharan Hariharan , Swamy Honnur
Published: April 2023

Yoga is beneficial for maintaining physical and mental fitness. And these days, technology is helping yoga find a new companion as online yoga becomes more and more common, making it easy to access classes and instructions. TensorFlow’s pose net, a tool for pose detection, is used by the AI yoga web app. Pre-trained models for identifying human poses are immediately accessible in the browser using posenet.js, a toolkit for estimating yoga poses based on body count rate determined by the pose. A person can receive feedback on the accuracy of their pose and keep track of their fitness goal in the application using real-time camera data.
DUAL ACCESS CONTROL FOR CLOUD BASED DATA STORAGE AND SHARING
Authors:   Department of Computer Science and Engineering, SCSVMV, Kanchipuram, PREMA Dr. R , SIVA KUMAR GOSTU , SAI PRAVEEN GOWRISETTI
Published: April 2023

Due to its effective and affordable administration, cloud-based data storage has recently attracted growing interest from academia and business. As services are delivered via an open network, it is critical for service providers to adopt secure data storage and sharing mechanisms to protect user privacy and the confidentiality of data. The most popular technique for preventing the compromise of sensitive data is encryption. The practical necessity for data management, however, cannot be adequately addressed by just encrypting data. Moreover, a strong access control over download requests should be taken into account to prevent Economic Denial of Sustainability attacks from being conducted to prevent users from using the service. Each of the two dual access control systems is intended for a different planned context.We create a technique for controlling download requests without sacrificing security or effectiveness. There is also a presentation of the systems' experimental and security analyses. Keywords: Cloud-based data sharing, Access Control, Cloud Storage Service, Attribute Based Encryption.
NGHIÊN CỨU ẢNH HƯỞNG CỦA ĐÈN LED ĐẾN MỘT SỐ CHỈ TIÊU SINH LÝ VÀ PHÁT TRIỂN CỦA CÂY VẠN LỘC (Aglaonema rotundum pink) IN VITRO
Authors: Hiền Phan Thị Thu , Pha Nguyễn Thị , Thu Phạm Phương , Châm Lê Thị Tuyết
Published: April 2023

Cây vạn lộc (Aglaonema rotundum pink) là cây loài cây cảnh, đẹp và dùng làm trang trí. Nghiên cứu này được thực hiện với mục đích khảo sát ảnh hưởng của ánh sáng LED đến khả năng nhân nhanh chồi in vitro và phát triển ngoài vườn ươm cây vạn lộc. Kết quả khảo sát cho thấy, ánh sáng đỏ và xanh đơn sắc đều gây ức chế đến quá trình tạo rễ cũng như sinh trưởng của các chồi cây vạn lộc. Trong khi đó, chồi vạn lộc in vitro sinh trưởng dưới điều kiện LED đỏ:xanh (80:20) cho khả năng phát sinh rễ tốt nhất (93,01% số chồi ra rễ) so với ánh sáng huỳnh quang đối chứng (72,18% số chồi tạo rễ). Số rễ tạo thành trung bình (2,71 rễ/chồi), chiều dài rễ trung bình (2,22 cm) và chiều cao cây trung bình của chồi sinh trưởng dưới ánh sáng LED đỏ:xanh (80:20) (7,34 cm) đều cao hơn ở ánh sáng đối chứng. Bằng thực nghiệm, nhận thấy kiểu đèn LED 80% LED đỏ (630 nm) kết hợp 20% LED xanh (450 nm) có khả năng ứng dụng trong nuôi cấy in vitro cây vạn lộc với hiệu quả cảm ứng tạo rễ cao. Kiểu đèn 80% LED đỏ (630 nm) kết hợp 20% LED xanh (450 nm) có khả năng kích thích tốt nhất cho sự tái sinh và nhân nhanh đa chồi cây vạn lộc, khi sử dụng ánh sáng ở công thức này, tỷ lệ tái sinh cao nhất đạt 72,48%, hệ số nhân chồi đạt 6,34. Quy trình này có thể sử dụng trong nghiên cứu nhân nhanh một số cây hoa, cây cảnh khác phục vụ sản xuất nông nghiệp.
ĐÁNH GIÁ MỘT SỐ YẾU TỐ ẢNH HƯỞNG ĐẾN VIỆC THỰC HIỆN QUY HOẠCH XÂY DỰNG NÔNG THÔN MỚI TẠI XÃ BIÊN GIỚI HUYỆN TÂN BIÊN, TỈNH TÂY NINH
Authors: Quế Phạm Thanh , Nhã Trần Nguyễn Thanh , Thảo Xuân Thị Thu , Hà Trần Thu , Hải Nguyễn Thị
Published: April 2023

Nghiên cứu nhằm thực hiện đánh giá một số yếu tố ảnh hưởng đến việc thực hiện quy hoạch xây dựng nông thôn mới (NTM) tại các xã biên giới huyện Tân Biên sử dụng mô hình nhân tố khám khá (Exploratory Factor Analysis_EFA) với 2 xã biên giới được lựa chọn và phỏng vấn 189 hộ đại diện. Số liệu được xử lý bằng phần mềm SPSS, kết quả phân tích mô hình hồi quy tuyến tính đa biến cho thấy 73,6% kết quả việc thực hiện xây dựng NTM tại các xã biên giới huyện Tân Biên được giải thích bằng 4 nhóm với 12 yếu tố, phần còn lại được giải thích bằng các yếu tố khác ngoài mô hình. Phương trình hồi quy tuyến tính là: QH = 0,538*NL + 0,228*KT+ 0,205*PL+ 0,199*XH+ ei. Nhóm yếu tố tác động mạnh nhất là nguồn nhân lực tham gia quy hoạch NTM, thứ 2 là yếu tố kinh tế, thứ 3 là yếu tố thể chế, pháp lý và cuối cùng là yếu tố xã hội. Từ kết quả phân tích, nghiên cứu đã đề xuất một số giải pháp nhằm hoàn thiện công tác thực hiện quy hoạch xây dựng NTM tại các xã biên giới huyện Tân Biên bao gồm: nâng cao năng lực của nguồn nhân lực tham gia thực hiện quy hoạch xây dựng NTM; tăng cường các hoạt động làm thay đổi điều kiện về kinh tế; hoàn thiện thể chế, pháp luật liên quan đến việc thực hiện quy hoạch xây dựng NTM và hoàn thiện các yếu tố xã hội liên quan đến việc thực hiện quy hoạch xây dựng NTM.
Serum, Saliva, and Liver Proteome Indices Associated with Platelet Biology during Inflammatory Conditions in Different Animal Species
Authors: Beletić Anđjelo , Kuleš Josipa , Rubić I Ivana , Kovačević Filipović Milica , Mrljak Vladimir
Published: April 2023

The understanding of platelet biology stepped out of the (patho)physiology of hemostasis long ago. Currently, platelets are acknowledged as effective sentinels against pathogens and powerful regulators of inflammatory processes. While accomplishing these tasks, their structural and physiological features undergo constant changes, often associated with the proteomics indices in the tissues and biofluids. Assessing these associations in different animal species provides a substantial comparative benefit. Nevertheless, the sine qua non for the reliable interpretation of the obtained data is a comprehensive understanding of the applied analytical and bioinformatics methods. Keywords: Tissue; Body fluids; Proteomics; Platelet biology; Animals; Infections
Neuroprognostication after Cardiac Arrest
Authors: Kocjančič Tadel Špela
Published: April 2023

Survival of patients with out-of-hospital cardiac arrest (OHCA) is still very low. After the return of spontaneous circulation (ROSC), survivors are admitted to the intensive care unit. They can be conscious or comatose. Conscious survivors of cardiac arrest generally have a good prognosis. In comatose patients, prognosis is better in patients with shockable rhythm (ventricular tachycradia or ventricular fibrillation) as the initial rhythm at the arrival of Emergency medical team. In comatose patients we try to predict the neurological outcome with everyday clinical examination, a neuron specific enolase (NSE), comuter tomography (CT) scan or magnetic resonance imaging (MRI) of the brain, electroencephalogram (EEG) and somoatosensoric evoked potentials (SSEP). Neurological outcome is presented according to Glasgow-Pittsburgh Cerebral Performance Category Scale. Certain proportion of comatose patients may regain consciousness even after their discharge from the intensive care unit (ICU). Keywords: Out-of-hospital cardiac arrest; Comatose survivors; Postresuscitation brain damage; Neuroprognostication
Critical Appraisal of a Systematic Review on Effectiveness of Trunk, Hip and Knee Exercise Programs in Patellofemoral Pain
Authors: Okorn Doroteja , Vauhnik Renata
Published: April 2023

Although patellofemoral pain (PFP) is one of the most common musculoskeletal disorders, the clear aetiology behind it remains unknown. One of possible factors could be increased hip adduction and internal rotation caused by weak hip abductors and external rotators. A recent systematic review assessed the effectiveness of trunk, hip and knee exercise programs for pain relief, functional performance and muscle strength in PFP. The aim of our study was to critically evaluate this systematic review using the updated PRISMA checklist. The authors adequately described the relationship between hip and knee muscles and PFP, but insufficiently linked the condition to trunk muscles throughout the review. Overall the methods used were satisfactory, however the methods used to assess risk of bias due to missing results and certainty in the body of evidence for outcomes were not reported and therefore not presented in the results or debated in the discussion. Few discrepancies were found between the text and presented tables. The results of conducted meta-analysis were sufficiently presented in included forest plots or can be accessed through links in the review as publicly available supplementary figures. Possible extraction of data on description of exercises used in programs could further improve the synthesis. The discussion on effectiveness of hip and/or knee exercise programs on pain relief and functional performance was adequate, meanwhile the discussion was insufficient for effect on muscle strength. The review was satisfactorily conducted with few items not reported or reported insufficiently due to discrepancies between the former and updated PRISMA statement. Keywords: Patellofemoral pain; Exercise programs; Critical appraisal; PRISMA checklist
Endangered Butterflies and their Conservation: the Decline of Parnassius apollo and Phengaris spp. in Europe and Slovenia
Authors: Bonin Luka
Published: April 2023

Abstract: This article addresses the alarming global decline in insect biomass and biodiversity and the decline of European butterfly populations, more notably in Slovenia. Between 1989 and 2016, a 76% decrease in insect biomass raises concerns for ecosystems reliant on pollinators and intricate food webs. Butterfly populations, echoing this decline, witnessed a 50% reduction between 1976 and 2021. Key contributors, including habitat loss, chemical pollution, and climate change, necessitate urgent conservation efforts. Focusing on the Apollo (Parnassius apollo) and genus Phengaris, the study emphasises the threats posed by global warming and habitat loss. Swift and comprehensive conservation measures are crucial to ensure the survival of these iconic species, moreover recognizing butterflies as "umbrella species" that safeguard broader ecosystems. Keywords: Butterflies, Decline, Phengaris, Parnassius apollo, Biodiversity, Conservation
Altering the Position of Topological Defects in Nematic Shells
Authors: Mesarec Luka , Iglič A Aleš , Kralj Samo
Published: April 2023

Topological defects (TDs) in liquid crystals may have their locations experimentally altered by locally distorting the liquid crystalline (LC) order, e.g., by the melting induced by optical tweezers. In this research, we investigated the nematic ordering profiles and accompanying topological defect configurations in thin nematic liquid crystalline shells that are subject to externally forced local LC order distortions. We show that inside curved LC films these manipulations are greatly influenced by local Gaussian curvature if it displays strong spatial variability. We use a mesoscopic model in which the curvature of the surface and the nematic order parameter tensor serve to explain the shell geometry and LC orientational order. We demonstrate that TDs are rather tightly "glued" to a local Gaussian curvature on increasing the prolateness of shells. Keywords: Topological defects; Liquid crystals; Distortions; Gaussian curvature; Prolate shells
Reconfiguration of Nematic Dislocations
Authors: Harkai Saša , Kralj Mitja , Kralj Samo
Published: April 2023

Basic natural entities seems to be physical fields. From this perspective elementary particles should correspond to robust localized field configurations. Most probable candidates for such configurations are topological defects. They are topologically protected and they exhibit robust body-like features. Particularly adequate structures are line defects which could display also linked or knotted configurations. Such structures could be relatively easily created, manipulated and observed in nematic liquid crystals. In this contribution we focus on nematic elementary line defects characterised by winding number |m|=½. We illustrate that they behave as line-like robust elastic objects. However, they could be reconfigured into qualitatively different conformations where topological conservation rules are obeyed. Keywords: Fields; Topological defects; Topological charge; Disclinations; Liquid crystals
Vaccine Development against Paratuberculosis
Authors: Eraghi Vida
Published: April 2023

Paratuberculosis or Johne’s disease (JD) is a chronic granulomatous enteritis affecting ruminants worldwide. It is caused by Mycobacterium avium subsp. paratuberculosis (MAP) and the rate of prevalence is increasing. Based on high economic impacts and public health concern, vaccine development against paratuberculosis is very essential. There is a lot of research articles about finding the best management approach for eradicating MAP, and also finding an ideal vaccine against the disease. But unfortunately, until now, there is no ideal management approach against the disease because we don’t have any ideal vaccine against it. This mini review discuses about management strategies with the focus on researches about various types of vaccines against JD. Keywords: Mycobacterium avium subsp. paratuberculosis (MAP); Vaccine; Johne’s disease; Paratuberculosis; Control