bluuebunny/crossref_metadata_2025 huggingface dataset:
Examination of Adulterants in Edibles
Authors: Subramanian Keertana
Published: May 2023

Abstract: Edible substance adulteration is a serious problem for modern food safety. The obvious cause of concern may be that adulterants have detrimental impacts on human health. One of the most tainted food products is edible oils. The perpetrators are using strategies that successfully hide the presence of the adulterants from existing methods for detecting oil adulteration and human organoleptic limits. This review includes a thorough account of the research done over the past three decades on the falsification assessment of edible oils using chemical, biosensors, chromatography, spectroscopy, differential scanning calorimetry, non-thermal plasma, and dielectric spectroscopy, as well as a collection of patented methods for detecting oil adulteration. The detection methods examined have certain benefits and some drawbacks, although chemical testing are straightforward; nuclear magnetic resonance and biosensors, dielectric spectroscopy is quick, portable, and compatible with the internet, but the findings can vary depending on the electric current frequency and internal parameters (moisture, temperature, structural composition). Copies are extremely accurate but have prohibitive costs. For scientists or those interested in learning more about the latest methods for detecting adulterated edible oil, this review paper can be helpful.
Vision Application for Visually Impaired People
Authors: Mhetre Dr. Manisha
Published: May 2023

Abstract: The Vision Eye application is a novel solution that aims to assist visually impaired individuals in their daily lives. The application uses computer vision algorithms and artificial intelligence to detect the user's surroundings and provide them with real-time auditory feedback about the objects and people around them. The Vision application uses a smartphone camera to capture images, which are then analyzed by the app's algorithms to identify objects, people, and other environmental features. The app then converts this information into auditory feedback that is relayed to the user through headphones or earbuds. The application also includes voice recognition and GPS navigation to enhance the user's experience. The Vision application has the potential to significantly improve the quality of life of visually impaired individuals by providing them with greater independence and autonomy in their daily lives.
Sub Aquatic Image Correction with Oceanic Species Eye Mechanism using MATLAB
Authors: Kaushik Kratika
Published: May 2023

Abstract: Our work is based on the idea of improving underwater images based on the structure and function of the subaquatic ocean species retina. Our goal is to solve image degradation problems caused by blurry and uneven colors. Our design also compares various image enhancement techniques using different filters and contrasts and compares the results. Fishes have retinas with rods and cones that help them to see images clearly under the water. Color contrast is specially corrected using the red correction line and feedback from the horizontal line. Because a single image is used, this method does not require special equipment or knowledge of underwater structures or the underwater environment. Higher contrast, sharper edges and better visibility in the dark means better photos and videos. The algorithm is mostly independent of camera settings. Index: Underwater Imaging, White Balance, Color Correction
Theories and Factors Governing Criminality: A Short Literature Review
Authors: Bansal Yashika
Published: May 2023

Abstract: Criminal psychology focuses on the study of criminal behavior, where the term behavior covers variety of aspects like personality, attitudes, physiology of a person etc. that contributes to the commission of a crime or criminal behavior. Criminal psychology not only aims to comprehend criminal behavior but also to manage and change it. Criminal psychology is essentially the study of offenders' thoughts, emotions, wills and reactions, as well as how these influence their behavior. There are numerous circumstances or reasons that can make someone become a criminal; criminality is not something that someone is by birth. Researchers have offered a variety of explanations as to why someone becomes a criminal. All the influencing factors have been proposed by various investigators based on their scientifically investigated studies. A brief overview of various factors that influences on a person's behavior that cause them to commit crimes is provided in this review paper along with the theories proposed by various researchers. Criminal psychology is primarily concerned with figuring out what drives people to commit crimes. Psychologists working in this field examine not just the intentions and desires of criminals but also the behaviors that occur after they commit their crimes.
A Comprehensive Review on Optimal Coordination of Electrical Vehicles to Reduce Power loss
Authors: B Mrs. Chandra Rakhee .
Published: May 2023

Abstract: This Paper aims to present a report on the study of the various methods of coordinating electrical vehicles in an optimal way so as to reduce the generation cost and the transmission power loss from Grid to load and Also to improve the charging performance of electric vehicles (EV) by various methods like Photo-voltaic(PV) roof mounted panels battery swapping and charging stations (BScSs), Branch Flow model based relaxed optimal power flow (BFM-RoPF), A physical fair Queueing framework, use of switched shunt capacitors(SSCS) etc. By comparing various methods of Coordination of electrical vehicles we can get a better solution to reduce the power loss and to improve the charging performance of electrical vehicles.
Proper Planning and Scheduling of a Construction Project to Optimize Time and Cost
Authors: Patil Pooja Sunil
Published: May 2023

Abstract: In the construction project time and money plays an important role. As in this project the aim is to complete the project on time. So as to we can save the time as well as money and proper planning within budget and to achieve the further project objectives. The delays caused results increases of expenses. Hence planning and scheduling has to be done and followed for the successful execution of the project. The presented work will provide them an Opportunity to clearly notice the difference between the Microsoft Project (MSP) and the Traditional Planning ways of doing thing which speeds up Construction and also make the Project Cost Effective with Proper Planning with the help of the case study on the construction project executed in Karad, Maharashtra, India.
Overcoming Everyday Hurdles with Mental Health Tracking App
Authors: Badola Tanmay
Published: May 2023

Abstract: In particular, depression is the third leading cause of disease in the world and will be the leading cause of morbidity in 2030. Depression is the leading cause of years lost to disability worldwide. Mental health problems, including alcoholism, are the top ten causes of disability in developed and developing countries. Millions of people worldwide have a mental health condition and one in four people worldwide will experience a mental health condition in their lifetime. Nearly a million people die by suicide each year, making it the third leading cause of death among young people. Thus, to cope up with such extremities a suitable guidance system is needed to remedy this issue and bring about some sense and calm among humanity. This mental health app developed using Flutter allows users to talk to a chatbot. Users can either communicate using chat or speak directly using the speech-to-text function. Using the ChatGPT API connection, we can then gauge the emotions of the users and provides them with any required help. The main objective of the project is to include the basic aid of a mental issue in a mobile application that can be operated at the user’s fingertips.
E-Commerce Site using MERN Technology
Authors: Mohan Prof. Mr. Devendra Singh
Published: May 2023

Abstract: Today most people use technology. Manage their life and take care of their belongings. Most of my generation buys clothes, food and electronics from e-commerce sites. Using MERN Stack technology, including MongoDB, Express. We are building an e-commerce application with JS framework, React.JS library and Node.JS platform. The program has many views for users and administrators, is efficient and includes a payment gateway for deductions. From this site, we can buy T-shirts in different types and styles according to customer satisfaction. In this project, we have the option to add and remove many items. For the website, we have created functions such as managing products and categories, adding new products and creating an admin dashboard. Customers can easily add the products they purchased to the cart. Payments are made based on items in the shopping cart and customers can pay using Stripe.
Smart Borewell Vehicle Monitoring System: A Microcontroller-based GSM Informer
Authors: Murthy T.SR.CH. , Rasool SK.Nayab , Ramprakash R.
Published: May 2023

Abstract: This research paper presents an automatic borewell vehicle status informer designed using the Arduino MEGA 2560 microcontroller. The aim of this study is to enhance monitoring and communication in borewell operations, addressing the concerns of vehicle owners and customers. The system utilizes proximity sensors to calculate the number of borewell rods drilled and unloaded, while the location of the vehicle is tracked using GPS. Compressor runtime is recorded through an RTC or GPS module. Real-time SMS notifications are sent to the owner and customer when the compressor is switched on, providing location and time details. After completion of drilling, SMS messages containing the number of rods drilled and total compressor runtime are sent using a GSM module. All functionalities are controlled by the Arduino MEGA 2560 microcontroller, with measured parameters stored on an SD card. The proposed microcontroller-based informer integrates sensors and modules to improve efficiency and transparency in borewell operations. By providing accurate information and real-time communication, this system aims to enhance customer satisfaction and optimize the utilization of borewell resources.
Finite Element Analysis on Lateral Torsional Buckling Behaviour of I Beam with Web Opening Using Etabs Software
Authors: Admile Prof. Pushkraj. R. , Thorat Akanksha. K. , Deokar Arpita. A. , Chavan Dnyanraj. J. , Deshmukh Shishir. P. Mane-
Published: May 2023

Abstract: The lateral-torsional buckling behavior of I-beams with web openings has been a subject of great interest and significance for structural engineers due to the potential impact on their strength and stiffness. A thorough understanding of this behavior is essential for the design of steel structures. Finite Element Analysis (FEA) has emerged as a widely accepted tool for investigating structural responses under various loading conditions. In this study, FEA using the ETABS software, a commonly employed tool for structural analysis and design, was utilized to analyze the lateral-torsional buckling behavior of Ibeams with web openings.The objective of the study was to examine the influence of different web opening characteristics, including shapes, sizes, and locations, on the buckling strength of the beams. To validate the FEA simulations, experimental data available in the literature were utilized. The analysis considered various types of web openings, such as circular, rectangular, and elliptical shapes, with different sizes and positions along the beam span.The findings revealed that the presence of a web opening significantly reduced the strength and stiffness of the I-beam, thereby rendering it more susceptible to buckling failure. Among the studied parameters, the location of the web opening exerted a more pronounced effect on the buckling behavior compared to its size and shape. The FEA simulations demonstrated good agreement with the experimental data available in the literature, which confirmed the accuracy of the ETABS software in predicting the buckling behavior of I-beams with web openings.These results emphasize the importance of carefully considering the presence of web openings when designing I-beams, as they can significantly affect their structural performance. Engineers should pay close attention to the location and size of web openings, implementing appropriate strengthening techniques when necessary to mitigate the adverse effects on buckling behavior. The findings of this study provide valuable insights that can aid in the design and analysis of steel structures incorporating I-beams with web openings, ensuring their overall stability and reliability.
Forecasting Model for Lighting Electricity Load with a Limited Dataset using XGBoost
Authors: Abdurohman Maman , Putrada Aji Gautama
Published: May 2023

Energy forecasting is an important application of machine learning in renewable energy because it is used for operational, management, and planning purposes. However, using the electricity load dataset during COVID-19 is a research challenge in the forecasting model due to the limited dataset and non-stationarity. This paper proposes an extreme gradient boosting (XGBoost) forecasting model for a limited dataset. Forecasting models require large amounts of data to create high-accuracy models. We conduct research using the PT Biofarma office electricity usage dataset for eight months during the COVID-19 period. Because office activities were limited during the pandemic, the datasets obtained were few. Several methods are used for modeling limited datasets, namely XGBoost, multi-layer perceptron (MLP), autoregressive integrated moving average (ARIMA), and long short-term memory (LSTM). We have conducted several experiments using a limited dataset with these four methods. The test results with the t-test show that the electricity load data for work-from-office (WFO) and work-from-home (WFH) periods have a significant average difference. Then the test results with the augmented Dickey–Fuller (ADF) test show that our data is non-stationary. Compared to the benchmark method, the XGBoost method shows the best forecasting performance with mean absolute percentage error (MAPE), root mean squared error (RMSE), mean absolute error (MAE), and R2 of 0.48, 5.00, 3.09, and 0.61 respectively.
Pesquisa em desinformação e divulgação científica: uma revisão da literatura latino-americana
Authors: Mancoso Kaique , Paes Amanda , de Oliveira Thaiane , Massarani Luisa
Published: May 2023

Neste artigo, temos como objetivo realizar uma revisão de literatura dos estudos realizados na América Latina sobre desinformação e divulgação científica, em particular dos artigos acadêmicos sobre essa temàtica. Nosso corpus consistiu de 142 artigos, identificados nas bases Scopus, Web of Science, Dimensions e Scielo. Os resultados mostram que o Brasil é o principal palco dessas anàlises e aparece em 65,5% do corpus. Aponta-se para uma concentração de pesquisas publicadas a partir de 2020, que se correlacionam com a pandemia de Covid-19, sendo essa a temàtica mais estudada (69,0%). Os artigos abordam estudos de redes sociais digitais (35,2%) e estudos de mídia (33,1%). Argumenta-se a necessidade de fortalecer a colaboração entre grupos de pesquisa nos países latino-americanos como forma de entender as particularidades da circulação da desinformação científica na região e estruturar melhores formas para o seu enfrentamento.
Desinformação sobre vacinas em plataformas digitais: um movimento simbiótico em torno da lucratividade
Authors: Rêgo Ana Regina , Leal Ranielle
Published: May 2023

Este ensaio aborda tensões que se localizam no encontro entre as novas configurações capitalistas neoliberais a partir da vida nas plataformas digitais e o mercado da comunicação que se ocupa da desinformação científica. Para tanto, apresentam-se dados estatísticos sobre a desinformação acerca das vacinas, como também abordagens teóricas concernentes às possibilidades negociais das plataformas. De um lado, os otimistas que veem nas big Techs modelos de negócios conectivos, de outro, pensadores que consideram as plataformas como novos espaços de exploração e colonização humana, onde a desinformação se apresenta como estratégia para atração da atenção dos usuários.
Presentación edición especial
Authors: Diaz - Delgado Miguel - Angel
Published: May 2023

Presentación
Condiciones pedagógicas requeridas en la docencia universitaria actual
Authors: Mora - Espinoza Álvaro , Cerdas - Montano Norma - Virginia
Published: May 2023

La docencia universitaria conlleva una responsabilidad social relevante para el desarrollo de un país, ya que contribuye a la formación de profesionales de distintas áreas del conocimiento, que luego deberán incorporarse al mundo laboral. El tema es de interés en tanto exista un gran número de profesores universitarios sin formación pedagógica para desempeñar un rol pertinente en el proceso de enseñanza y aprendizaje. El objetivo principal de este artículo es un análisis de las condiciones pedagógicas requeridas para la educación superior. Entre las principales conclusiones se determina la importancia del desarrollo de condiciones básicas en la persona que asume la función de la docencia universitaria, las cuales giran en torno a la formación pedagógica, como eje dinamizador de los ambientes de aprendizaje y que tiene repercusiones en los vínculos relacionales y el rendimiento académico del estudiantado.
Experiencias globales en la formación profesional de la Educación Primaria: Una mirada a las tendencias decadentes, operantes y emergentes
Authors: Mesen - Arias Victoria , Piedra - Hernández Margott - A , Palma - Rojas Karen - C
Published: May 2023

El mundo actual representa un escenario sin precedentes para el cambio educativo que demandan nuevas habilidades y saberes por descubrir en la formación profesional de la educación primaria; desde lo anterior esta investigación se centra en el análisis las tendencias decadentes, operantes y emergentes de la formación de profesionales de la Educación primaria en siete países alrededor del mundo. Se concluye que las tendencias innovadoras apuntan hacia el enriquecimiento de la relación entre teoría y práctica pedagógica desde un enfoque totalizador en el que se integren todas las disciplinas, al tiempo que la persona en procesos de formación se asume como parte de una triada en la que interactúan en forma permanente la institución educativa, las universidades y los ministerios de educación.
El internado médico desde el enfoque de la salud basado en Derechos Humanos. Los casos de Costa Rica y México
Authors: Sancho - Ugalde Hilda - M , Mendoza - González Mauricio - F , Coto - Hernández Moisés , Vázquez - Martínez Francisco - D
Published: May 2023

Se realiza una investigación desde el enfoque de la salud basado en derechos humanos, en el proceso de formación de estudiantil de Medicina a nivel del último año de la carrera.  Es un estudio descriptivo, transversal, en una universidad pública mexicana y una privada costarricense, con una población de 532 internos, una encuesta anónima y voluntaria, integrada por 33 ítems [alfa de Cronbach=0,926].  En ambos países se denota la ausencia de asesoría y supervisión por parte del personal docente, así como jornadas superiores a las 80 horas semanales.  Costa Rica y México comparten problemas de la educación médica durante el internado y tienen desafíos comunes en cuanto al impulso del derecho a la educación en las unidades médicas.
Formación de líderes académicos en la educación superior. La importancia del contexto para el desarrollo eficaz del liderazgo
Authors: Kutsyuruba Benjamin , Hill Shannon
Published: May 2023

Amidst the changing nature of higher education, one may wonder how leaders of higher education institutions [HEIs] can succeed and thrive in today’s highly uncertain environments. This qualitative case study examined the factors, practices, and competencies that contributed to effective leadership development of academic leaders at one Canadian university. Through the document analysis and qualitative interviews with academic leaders, it explored the organizational context and individual strategies and competencies that supported leaders in their roles in higher education [HE]. The analysis showed the significance of context as a crucial factor in the effectiveness of leadership development. The findings support further work on developing a different approach to leadership development for academia; one that is founded on an understanding of what academic leaders and their institutions require to succeed and flourish during this time of unprecedented change.
Gestión de la Extensión en las Universidades Públicas Mexicanas.
Authors: Franco - Gordo Margarita , Borrayo - Rodríguez Carmen - Leticia
Published: May 2023

En el contexto de las universidades públicas, es importante la realización investigaciones que centren su atención en el análisis orientado a la reflexión epistémica con una mirada crítica que dote de pertinencia y efectividad a la función de extensión que, de forma integral, articula acciones en beneficio de la sociedad.
El presente artículo evidencia que las IES públicas, en México, han desarrollado actividades de extensión universitaria desde los enfoques empresarial, social y cultural y que cada orientación ha tenido un grado de desarrollo como resultado de diversos factores de su entorno y de los fines y las políticas particulares de las instituciones de educación superior, ya sean de carácter social o empresarial o ambas.
ANALISIS WACANA KRITIS MODEL VAN DIJK TERHADAP BERITA ONLINE â€œGADUH PEDULILINDUNGI DITUDING MELANGGAR HAK ASASI MANUSIA, ADA APA?â€
Authors: Oktiaputri Amellia
Published: May 2023

The purpose of this study is to describe the online news text entitled â€œGaduh PeduliLindungi Dituding Melanggar Hak Asasi Manusia, Ada Apa?â€ on the official website nasional.tempo.co using the Teun A. Van Dijk Critical Discourse Analysis approach. The method used is a qualitative method with a Critical Discourse Analysis approach using the Teun A. van Dijk model. The data analysis technique used in this research is content analysis technique. The results of this study show that in the text dimension found text elements, coherence (including additive coherence, conditional coherence, differentiating coherence), negation, sentence form, pronouns, setting, details, intent, lexicon, and graphics. This dimension shows that the US governmentâ€™s accusations were refuted by parties related to the PeduliLindungi application maker which clearly did not violate human rights and was made in accordance with application governance. In social cognition, it was found that journalists showing partiality to the government regarding reporting on the PeduliLindungi application through published news, while the social context shows that social during the pandemic has led to new habits, in the form of changes in peopleâ€™s social behavior in various aspects of life.
PENGARUH MODEL KNOW WANT LEARNING TERHADAP KEMAMPUAN MEMBACA PEMAHAMAN TEKS BERITA ELEKTRONIK
Authors: Winata Nana Triana , Logita Embang
Published: May 2023

This research is motivated by students lack of interest in reading, this affects the level of reading comprehension of students who do not understand the content/information obtained in the reading text. This study aims to (1) determine students reading ability using convensional strategies; (2) test the ability to read and understand electronic news text using the KWL model; and (3) know the effect of the KWL model on students ability in reading comprehension of electronic news text. This study uses experimental research methods, this method requires a special treatment which aims to find the effect of one variable on another variable. The design used is in the form of Nonequivalent control group design. The results of this study, both in the pretest and posttest there was an increase in the average score obtained by students 85,33. Thus value has exceeded the standard passing grade in Indonesian subjects, which is 75. The results of data processing using SPSS obtained is an effect of using the KWL model on the ability to read comprehension of electronic news text in class XII-IPS 2 MAN Indramayu.
DESAIN PEMBELAJARAN KONTEKS SOSIAL-SOSIETAL DALAM PRAGMATIK DENGAN METODE KOOPERATIF TEKNIK INVESTIGASI
Authors: Rahardi Kunjana
Published: May 2023

AbstractÂ Pragmatic learning must be research based. By basing on research, pragmatic learning in language majors and language education will be of high quality. Until now, pragmatic learning is still based on the views of Western experts. On the basis of that concern, the authors sought to examine specific culture-based pragmatics related to the socio-societal context. The results of the study are utilized in pragmatic learning. The main objective of this study is to describe the design of social-societal context learning models in pragmatics. The paradigm that was followed was the Ignasian-based reflective learning paradigm. The learning method applied is the cooperative learning method. The technique applied is a group investigation technique. Furthermore, this research is useful in the following matters: (a) improving and improving the quality of pragmatic learning in tertiary institutions; (b) produce researchers in the field of reliable pragmatics because they are used to wrestling with pragmatic research; (c) developing pragmatics, especially pragmatics based on specific culture.Keywords: Group investigation technique; cooperative learning method; reflective teachingÂ Pembelajaran pragmatik harus berbasis riset. Dengan mendasarkan pada riset, pembelajaran pragmatik di jurusan-jurusan bahasa dan pendidikan bahasa akan berkualitas. Hingga sekarang, pembelajaran pragmatik masih didasarkan pada pandangan pakar Barat. Atas dasar keprihatinan itu, penulis berusaha meneliti pragmatik berbasis kultur spesifik terkait konteks sosial-sosietal. Hasil kajian tersebut dimanfaatkan dalam pembelajaran pragmatik. Tujuan utama penelitian ini adalah menggambarkan desain model pembelajaran konteks sosial-sosietal dalam pragmatik. Paradigma yang diikuti adalah paradigma pembelajaran reflektif berbasis Ignasian. Metode pembelajaran yang diterapkan adalah metode pembelajaran kooperatif. Adapun teknik yang diterapkan adalah teknik investigasi kelompok (grup-investigation technique). Selanjutnya, penelitian ini bermanfaat dalam hal-hal berikut: (a) memperbaiki dan meningkatkan kualitas pembelajaran pragmatik di perguruan tinggi; (b) menghasilkan periset-periset bidang pragmatik yang andal karena mereka sudah terbiasa bergulat dengan riset pragmatik; (c) mengembangkan ilmu pragmatik khususnya pragmatik yang berbasis kultur spesifik.Â Kata Kunci: Group investigation technique; cooperative learning method; pembelajaran reflektifÂ
REFERENSI COVER MAJALAH TEMPO EDISI 14 SEPTEMBER: KARIKATUR WAJAH JOKOWI DENGAN BAYANGAN HIDUNG PANJANG â€“ JANJI TINGGAL JANJI
Authors: Marlia Marlia
Published: May 2023

The objective of this study is to identify and describe the respondent's reference to the cover of Tempo: The 2019 September 14th edition of the appointment. Data is obtained from respondents through google forms shared via WhatsApp chat that is examined using the triangle of Odgen & Richards and truth table Keith Allan. Number of respondents 130 people. According to the three meanings of Odgen & Richards, it is considered a liar because it is reference to Pinokio which has the concept of a long nose-like wooden doll that is lying. Moreover, it is considered as an important appointment because it is reference to the appointment of a promise that has a concept of attitude that does not keep the promise. While based on truth table Keith Allan, a liar is a proposition false (F) because the first proposition (P) is the proposition False (F) and the second proposition (Q) is the proposition True (T) so that the straightness of the proposition can be concluded is a false proposition (F). It can be concluded that the pairing of the same with Pinocchio and the promise of appointment is not something absolute and identical with the lies.
NILAI MORALITAS DALAM LEGENDA MASYARAKAT SUNDA â€œCIUNG WANARAâ€ VERSI PLEYTE (CWP) â€œTJARITA TJIOENG WANARAâ€ (PENDEKATAN SEMANTIK)
Authors: Praramdana Gilang Kripsiyadi , Syaifullah Aceng Ruhendi , Jaelani Asep Jejen
Published: May 2023

In this 21st century, the spotlight on character education is a priority research goal, and researchers intend to find character values in one of Ciung Wanara's stories. This research has several specific objectives; 1) Describe the text of the story / fairy story of Ciung Wanara, 2) Interpret the morality values (values) contained in the Ciung Wanara story using a semantic approach. The researcher uses the analytical description method. The element of local wisdom implied in it. the morality values found in Ciung Wanara manuscript are: (1) human morality to God (MMT), which explains in the conversation of 2 (two) storytellers namely nini and balangantrang battery. (Grateful for God's creation) (14%), (2) human morals towards humans (MMS), found there were 5 (five) dominant conversations; a) Aki and Nini balangantrang, b) the conversation of the King and Ciung Wanara, c) the statement and treatment of the Resigned Goddess Naganingrum (71%), then (3) Human morality towards nature (MMA) amounted to 1 (one) treatment figure, namely Ciung Wanara statement regarding the beauty of the forms of two animals namely Ciung (Chicken) and Animal Wanara (Monkey) (14%), after summarizing the morality values contained in the script of the story "Ciung Wanara" predominantly leads to the value of Human Morality against fellow Humans (MMM) as much 71%. while other moral values are not interpreted (non-categories).
BUNYI SERTAAN PADA PELAFALAN PENYANYI YURA YUNITA: PEMANFAATAN KAJIAN FONETIK SEBAGAI BAHAN AJAR MATA KULIAH FONOLOGI
Authors: Regina Frilia Shantika
Published: May 2023

One type of phonetic study is the accompanying sound. The sound of inclusion indaily life is often not recognized. This is becouse the accompanying sound is produced accidentally by the speaker. Assessment of speech sound can improve the ability of students to listen and identify one type of phonetic study, teh sound of inclusion. The research method used is a qualitative research method with descriptive analysis research type. The data in this study were divided into primary data in the from of songs sung by singer Yura Yunita and secondary data in the from of books, journals, and articles. Data analysis is done by collecting all the notes in the fiels, then reducing the data in the form of sound, after that present it into a pattern that is formed, to produce conclusions. Based on the results of an analysis of two songs entitled â€œMalam Sunyiâ€ and â€œ Harus Bahagiaâ€ found thirtteen accompanying sounds. The thirteen accompanying sounds are included in teh types of sounds including labisation, palatalization, retroflexion, glottalization, aspiration, and nasalization. Thus, teh song spoken by Yura Yunita can be used as an alternative teaching materials for phonology courses, especially in the accompanying soun materials.
Polineuropatia diabética assintomática induzida pelo uso crônico de metformina e sua correlação com a vitamina B12
Authors: Mattos Liliane de Jesus , Diniz Júlia Breitenbach , Siqueira Luciano de Oliveira
Published: May 2023

Diabetes Mellitus é doença metabólica, caracterizada pela deficiência absoluta ou relativa de insulina, que acomete cerca de 382 milhões de pessoas em todo mundo, tendo uma das complicações mais comuns a polineuropatia. A Metformina, medicamento amplamente utilizado como tratamento do Diabetes, foi descrita como responsável, em algumas literaturas, por causar ou agravar deficiência de vitamina B12, que está similarmente relacionada ao desenvolvimento de polineuropatia.
Aprendizado de máquina nos serviços farmacêuticos: uma revisão integrativa
Authors: Rocha Mariana Balhego , Silveira Brenda Petró , Pilger Diogo
Published: May 2023

A crescente digitalização e aplicação de inteligência artificial (IA) em problemas complexos do mundo real, tem potencial de melhorar os serviços de saúde, inclusive da atuação dos farmacêuticos no processo do cuidado. O objetivo deste estudo foi identificar na literatura científica, estudos que testam algoritmos de aprendizado de máquina (Machine Learning – ML) aplicados as atividades de farmacêuticos clínicos no cuidado ao paciente. Trata-se de uma revisão integrativa, realizada nas bases de dados, Pubmed, Portal BVS, Cochrane Library e Embase. Artigos originais, relacionados ao objetivo proposto, disponíveis e publicados antes de 31 de dezembro de 2021, foram incluídos, sem limitações de idioma. Foram encontrados 831 artigos, sendo 5 incluídos relacionados as atividades inseridas nos serviços de revisão da farmacoterapia (3) e monitorização terapêutica (2). Foram utilizadas técnicas supervisionadas (3) e não supervisionadas (2) de ML, com variedade de algoritmos testados, sendo todos os estudos publicados recentemente (2019-2021). Conclui-se que a aplicação da IA na farmácia clínica, ainda é discreta, sinalizando os desafios da era digital.
Giant Lipofibromatous Hamartoma of Median Nerve in a Child
Authors: Teles Filho Ricardo Vieira , Abe Guilherme de Matos , Aquino Júnior Paulo Henrique de , Viggiano Giovanni Ferreira , Teixeira Bruna Ribas , Oliveira Murilo Eugênio
Published: May 2023

Lipofibromatous hamartoma (LFH) is a rare fibrofatty tumor of adipocytes within peripheral nerves, affecting mainly children. It typically presents as a palpable mass surrounding the nerves of the upper limbs, causing pain and neurological deficits in the affected nerve distribution. We report the case of a child with a 2-years presentation of a mass in the right wrist associated with pain and paresthesia, who underwent investigation with magnetic resonance imaging (MRI). It showed thickening of the median nerve with spaghetti-like appearance associated with lipomatous tissue in a coaxial cable-like pattern, both features characteristic of LFH. This case illustrates the importance of MRI in the differential diagnosis of limb masses in the pediatric population.
Full title：A Coxsackievirus B1-infected neonatal rhesus macaques HFMD model and viral tissue tropism
Authors: zhanlong * , suqin Duan , yongjie Li , wei Zhang , Zhang Ming , yanyan * Li , yuan Zhao , weihua Jin , quan Liu , mingxue Li , wenting Sun , lixiong Chen , hongjie Xu , jie Tang , jinghan Hou , zijun Deng , fengmei Yang , Ma Shaohui
Published: May 2023

Coxsackie virus B1 (CVB1) is an enterovirus that presents as hand, foot
and mouth disease (HFMD), which may cause long-term symptoms in some
patients. However, CVB1 animal models, detoxification cycles, and
long-term tissue tropism have not been systematically characterized. In
this study, a CVB1 respiratory infection model was established in rhesus
macaques, and clinical symptoms, viral load, and immune marker levels
were observed in the acute phase (0-14 days) and long-term recovery
phase (15-30 days). We also quantified the distribution, replication,
and pathology of CVB1 during the long-term recovery period using 35
postmortem rhesus macaques tissue samples at 30 days post infection
(d.p.i), thus revealing the long-term tissue tropism of the virus. The
results showed that the respiratory tract of rhesus macaques was
susceptible to CVB1 and showed HFMD symptoms, detoxification phenomena,
changes in cytokine levels, and neutralizing antibodies. Autopsy viral
load results were positive in heart, spleen, pancreas, pharyngeal flat,
and olfactory bulb tissues, and HE staining revealed pathological damage
to the liver, spleen, lung, pharyngeal flat, palatal flat, and tracheal
epithelium. Viral antigens were present in visceral, immune,
respiratory, and muscle tissues but not detected in intestinal and
neural tissues. Brain tissue was dissected and showed viral
meningitis-like changes, and CVB1 antigen expression was observed in
occipital, pontine, cerebellar, and spinal cord tissues. This study
first provides a basis for elucidating CVB1 pathogenesis in a nonhuman
primate HFMD model and then confirms the CVB1 tissue tropism pattern
after long-term infection.
Efficient and highly continuous chromosome-level genome assembly of a diploid amniote genome
Authors: Xie Hongxin , Chen Zixuan , Pang Shuai , Du Wei-Guo
Published: May 2023

Most amniote genomes are diploid, moderate in size (approximately 1–6
g), and contain a large proportion of repetitive sequences. The
development of next-generation sequencing technology has made it
possible to resolve the genome assembly of non-model species. However,
traditional genome assembly methods usually involve the acquisition of a
large amount of sequencing data and complex calculations, making the de
novo genome for non-model species expensive and difficult for most
projects. The development of long-read sequencing, especially the
emergence of high-fidelity (HiFi) long-read data, has made it possible
to assemble genomes efficiently, but how to obtain high-quality
reference genomes economically and quickly still lacks practical
evaluation. Here we de novo assembled the first chameleon genome, the
panther chameleon (Furcifer pardalis). We obtained chromosome-level
contigs using only HiFi data, and further combined Hi-C data to assemble
all contigs to pseudochromosomes. We also found that sequencing depth
> 30 folds can ensure both the integrity and accuracy of
the genome, while insufficient depth led to false increase in genome
size and proportion of duplicated genes. Our results provide an accurate
and efficient de novo assembly strategy for reference genomes of
non-model species.
Asymmetric relationships and their effects on coexistence
Authors: Albert Pimsupa , Reuman Daniel
Published: May 2023

Species coexistence attracts wide interest in ecology. Modern
coexistence theory (MCT) identifies coexistence mechanisms, one of
which, storage effects, hinges on relationships between fluctuations in
environmental and competitive pressures. However, such relationships are
typically measured using covariance, which does not account for the
possibility that environment and competition may be more related to each
other when they are strong than when weak, or vice versa. Recent work
showed that such ‘asymmetric tail associations’ (ATAs) are common
between ecological variables, and are important for extinction risk,
ecosystem stability, and other phenomena. We extend the MCT, decomposing
storage effects to show the influence of ATAs. Analysis of a simple
model and an empirical example using diatoms illustrate that ATA
influences can be comparable in magnitude to other mechanisms of
coexistence, and that ATAs can make the difference between species
coexistence and competitive exclusion. ATA influences are an important
new mechanism of coexistence.
The Propagation of Hermite-Gauss wavepackets in Optics and Quantum Mechanics
Authors: Briggs John
Published: May 2023

The two-dimensional paraxial equation of optics and the twodimensional
time-dependent Schr odinger equation, derived as approximations of the
three-dimensional Helmholtz equation and the three-dimensional
time-independent Schr odinger equation respectively, are identical. Here
the free propagation in space and time of Hermite-Gauss wavepackets
(optics) or Harmonic Oscillator eigenfunctions (quantum mechanics) is
examined in detail. The Gouy phase is shown to be a dynamic phase,
appearing as the integral of the adiabatic eigenfrequency or
eigenenergy. The wave packets propagate adiabatically in that at each
space or time point they are solutions of the instantaneous harmonic
problem. In both cases, it is shown that the form of the wave function
is unchanged along the loci of the normals to wave fronts. This
invariance along such trajectories is connected to the propagation of
the invariant amplitude of the corresponding free wave number (optics)
or momentum (quantum mechanics) wavepackets. It is shown that the van
Vleck classical density of trajectories function appears in the wave
function amplitude over the complete trajectory. A transformation to the
co-moving frame along a trajectory gives a constant wave function
multiplied by a simple energy or frequency phase factor. The Gouy phase
becomes the proper time in this frame.
Pan-Cancer Analysis Identifies CCDC51 as a Potential Biomarker for Liver Hepatocellular Carcinoma
Authors: Wang Shaoyi , chen peng , chen zhang , Huang Xiaoyan
Published: May 2023

Background: Coiled coil domain containing protein 51 (CCDC51), as the
two transmembrane helical domains protein, little is known about the
function of it in human cancer. Methods: TCGA, GEPIA, cBioPortal, GTEx,
and TIMER were employed to analyze expression, immune cells
infiltration, prognostic value, genetic alteration, cancer patients’
mutation burden, stem cell stability, and microsatellite instability of
CCDC51 . Results: Decreased CCDC51 expression significantly related with
poor overall survival (OS) of acute myeloid leukemia (LAML),
adrenocortical carcinoma (ACC), glioma (GBMLGG), kidney chromophobe
(KICH), liver hepatocellular carcinoma (LIHC), lung squamous cell
carcinoma (LUSC), skin cutaneous melanoma (SKCM) and uveal melanoma
(UVM), lung adenocarcinoma (LUAD), disease-specific survival (DSS) of
ACC, GBMLGG, SKCM and UVM, and progression-free interval (PFI) of ACC,
KICH and pancreatic adenocarcinoma, squamous cell carcinoma of the head
and neck (HNSC). In human cancer, immune cell infiltration, and tumor
microenvironment, CCDC51 expression is associated with MSI, RNA
modifications, and diverse cancer drug sensitivity. There is potential
for it to be an independent factor contributing to OS in LIHC. CCDC51
was an independent factor for LIHC prognosis in Cox regression and
nomogram analysis. The results of the the Kyoto Encyclopedia of Genes
and Gene Ontology and Genomes indicated that CCDC51 was involved in
aminoacyl-tRNA biosynthesis, RNA transport, colorectal cancer, Wnt
signaling pathway, mismatch repair, mitochondrion, pseudo uridine
synthase activity, mRNA processing, mitochondrial matrix, regulation of
mRNA stability, and mitochondrial inner membrane. Conclusion: Our
research can provide new-insights for LIHC prognostic biomarkers of
CCDC51.
A case series and a systematic review of the literature on upregulated miRs in gastric cancer: a story still to be told.
Authors: Lorenzon Laura , Belia Francesco , French Deborah , CAVALLINI MARCO , Blandino Giovanni
Published: May 2023

Background: Recent literature documented the expression of miRs in
gastric cancer (GC), however their clinical utility is still unclear.
Methods and Results: 117 resected GCs were evaluated for miR21, miR135b,
miR196a, miR196b relative expression (RE). The performance of miRs’ to
differentiate cancer vs normal mucosa was tested using ROC curves.
Univariable and multivariable analyses were conducted to correlate miRs
RE with pathological features and survivals. Although all the 4 miRs
were upregulated, ROC curves documented that this was not-significant in
differentiating GC (p ns). miR135b significantly correlated with
Lauren’s intestinal type and more advanced pT stages (p 0.017, and p
0.025), whereas miR196a and miR196b were more expressed in advanced
pStages (p 0.016, and p 0.038). miR196b was also more expressed in nodal
positive patients comparing N0 (p 0.035). Survival curves were
non-significant for miRs RE, while pStages could significantly
differentiate oncological outcomes (p<0.0001). On Cox
analyses, pStages independently correlated with OS (HR 4.9, 95%CI
2.041-12.104), whereas increased age correlated with a worse DFS (HR
6.0, 95%CI 2.596-13.947), and lymph-node ratio with DSS (HR 14.4,
95%CI 4.213-49.373). Literature was reviewed a using PRISMA method
focusing on miRs and response to therapy and the detection of peritoneal
metastases: out of 116 manuscripts retrieved, just 41 were pertinent
with the outcomes of interest, and 14.6% were from Western countries.
miR21, miR135b and miR204 were reported to correlate with response to
therapy. Conclusions: miR21, miR135b, miR196a and miR196b were
documented up-regulated in GC, but their clinical utility is still to be
fully investigated.
Application of generative adversarial network-based optimization approach to energy storage allocation in power systems
Authors: Lin Cheng-Yi , Huang Shyh-Jier
Published: May 2023

This study applies the generative adversarial network-based optimization
approach to site selection and capacity determination of energy storage
device in a power grid. Through the combination of modified long
short-term memory and generative adversarial networks, the proposed
method enhances the learning capability for the decision support of
energy storage allocation. This method excels at the utilization of
modified long short-term memory to ensure a better data-generation and
data-discrimination in a generative adversarial network, enabling the
achievement of effective data learning and deduction. To validate the
feasibility of the proposed approach, a practical system as well as an
example system are both examined under different scenarios, where the
placement cost, peak load, and voltage deviation are all concerned. Test
results gained from this study are beneficial for energy storage
industry applications. In this study, a novel approach is proposed for
site selection and capacity determination of energy storage devices in
power grids by applying a generative adversarial network-based
optimization method. The proposed approach combines modified long
short-term memory and generative adversarial networks to enhance the
learning capability for decision support of energy storage allocation.
Specifically, the modified long short-term memory improves the
data-generation and data-discrimination in the generative adversarial
network, leading to effective data learning and deduction. To
demonstrate the feasibility of our proposed approach, a practical system
as well as an example system are tested under different scenarios, where
the placement cost, peak load, and voltage deviation are all taken into
considerations. Test results indicate the feasibility of the method,
providing valuable insights for the energy storage industry.
Pseudoporphyria Induced by Voriconazole in a 10-year-old Boy: A Case Report and Review of the Literature
Authors: Caroppo Francesca , Gnesotto Laura , Mioso Guido , Belloni Fortina Anna
Published: May 2023

Abstract is missing (Short communication)
Happiness Behind the Scenes: Associations between Heuristic Happiness and Related Dimensions in Skin Diseases
Authors: Weis Johanna , Wecker Hannah , Arnold Alexander , Schuster Barbara , Ziehfreund Stefanie , Tizek Linda , Mittag Sonja , Biedermann Tilo , Zink Alexander
Published: May 2023

Positive health approaches, such as happiness, are largely unexplored in medicine, including dermatology. Taking into consideration the various happiness measures, the aims of this cross-sectional study were to assess this concept using a 1-item heuristic happiness question and its related dimensions (Satisfaction with Life, Positive and Negative Affect, Quality of Life, and Compound Psychological Capital) in outpatients with different skin diseases between December 2019 and June 2020, and to examine the link between these dimensions. Overall, 414 dermatological patients were included: 67 with psoriasis, 84 atopic eczema, 10 mastocytosis, 19 nummular eczema, 84 malignant melanoma and 150 keratinocyte carcinoma. Comparing the skin diseases, differences were observed for heuristic happiness, Positive Affect, and some domains of Quality of Life and Compound Psychological Capital. Analysing the relationship between heuristic happiness and other happiness measures, the data revealed moderate to strong correlations (r = 0.30–0.46, p< 0.001) and variations in the understanding of happiness between the skin diseases. Overall, the most important facet of happiness was Hope as a domain of Compound Psychological Capital. This study emphasizes the individual definition of heuristic happiness in patients with skin diseases. A 1-item heuristic approach may be a simple and practical method to assess the complexity and individuality of happiness.