bluuebunny/crossref_metadata_2025 huggingface dataset:
Educação Permanente,Intervenções e Desenvolvimentos no Ensino Superior
Authors: Lopes Sara Mónico , Sousa Jenny Gil , Barreto Maria Antónia
Published: April 2023

A partir de uma abordagem teórica sobre educação permanente, que reconhece a multiplicidade dos contextos educativos, a diversidade dos públicos, de metodologias e a valorização das aprendizagens, pretende-se refletir sobre a importância da mesma para o desenvolvimento integral dos indivíduos, designadamente daqueles que se encontram em formação no ensino superior.Em termos metodológicos, a pesquisa assume-se como um estudo de caso, decaracterísticas interpretativas, com o objetivo de descrever e refletir sobre projetos e práticas de intervenção socioeducativa e cultural dinamizadas por docentes e estudantes, no âmbito da oferta formativa de uma instituição pública portuguesa de ensino superior, o Instituto Politécnico de Leiria. As experiências apresentadas levam-nos a evidenciar a importância que uma abordagem centrada na educação de natureza integradora e permanente tem para a construção de uma sociedade que se pretende para todos. Conclui-se,também, que o recurso a metodologias reflexivas e práticas de intervenção holísticas pode contribuir para o bem-estar dos indivíduos e das comunidades.

Palavras-chave: Educação; Educação como humanização; Educação de Adultos

 

 

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Didática e Educação Integral
Authors: Rolim de Lima Severo José Leonardo
Published: April 2023

O objetivo do artigo é discutir, a partir de dados coletados junto a 162 docentes de escolas públicas de tempo integral no estado da Paraíba, desafios didáticos de construção de práticas de ensino na perspectiva da Educação Integral. O tratamento analítico dos dados pautou-se pela técnica de Análise Categorial de Conteúdo. Aponta-se que o discurso pedagógico inovador e de ruptura paradigmática associado à Educação Integral é atravessado por desafios e lacunas que distanciam os(as) professores(as) de um fazer pedagógico integral e integrador. Por isso, a Didática deve mobilizar formas alternativas de conceber e organizar o ensino inspiradas pela inventividade, colaboratividade e qualidade social da aprendizagem.
Sentidos de Educação Integral de Docentes e Familiares
Authors: Zucchetti Dinorá Tereza , Silva Jeane Felix da
Published: April 2023

O artigo discute, a partir do princípio da dialógica, sentidos da educação integral em duas escolas públicas localizadas na região metropolitana de Porto Alegre que trabalham com jornada escolar em tempo ampliado. O material empírico foi produzido a partir de questionários semiabertos aplicados junto a professores(as), responsáveis e familiares de estudantes das escolas, das quais uma realiza a expansão por meio de práticas de educação não escolar, enquanto a outra é escola de educação integral e em tempo integral. Os resultados apontam para tensões entre as expectativas de familiares e de docentes em relação aos sentidos da educação integral e da escola de tempo integral. Dessas tensões emergem problematizações que reforçam a importância de políticas públicas, o compromisso ético da escola e sua relação com o direito de aprender, bem como o reconhecimento da relevância de práticas educativas que se constroem por meio de uma pedagogia integradora.

Palavras-chave: educação; educação integral; pedagogia integradora; professores(as); familiares.
Usability and Preliminary Efficacy of an Artificial Intelligence–Driven Platform Supporting Dietary Management in Diabetes: Mixed Methods Study
Authors: Bul Kim , Holliday Nikki , Bhuiyan Mohammad Rashed Alam , Clark Cain C T , Allen John , Wark Petra A
Published: April 2023

Background

Nutrition plays an important role in diabetes self-management. Web-based diabetes care, driven by artificial intelligence (AI), enables more personalized care.

Objective

This study aimed to examine the usability and preliminary efficacy of a web-based AI-driven nutrition platform to support people with diabetes and their carers in identifying healthy recipes, meal planning, and web-based shopping.

Methods

Diabetes UK signposted people with diabetes and their carers to the platform’s study-specific portal through its website, social media, and newsletters. A total of 73 adult participants with prediabetes or diabetes or their carers completed the baseline web-based survey. Of these 73 participants, 23 (32%) completed a web-based survey after 8 weeks of platform use. Web-based semistructured interviews were conducted with platform users (7/23, 30%) who agreed to be followed up and diabetes experts (n=3) who had nutrition and platform knowledge. The intervention consists of a web-based platform that incorporates AI to personalize recipes, meal planning, and shopping list experiences and was made available for 8 weeks. Baseline characteristics, satisfaction, system usability, and diabetes-related and general health indicators were assessed before and after using the platform for 8 weeks.

Results

Reductions in weight (mean difference 4.5 kg/m2, 95% CI 1.0-12.0; P=.009; Cliff δ=0.33) and waist size (mean difference 3.9 cm, 95% CI 2.0-6.5; P=.008; Cliff δ=0.48) were found. Most of the participants (151/217, 69.6%) did not regularly use the platform and had low or very low engagement scores. However, the platform was perceived as accessible with no need for additional assistance (11/21, 52%), user-friendly (8/21, 38%), and easy to use (8/21, 38%), regardless of some usability issues. Saving recipes was the most popular feature, with 663 saved recipes.

Conclusions

This study indicated that the usability of the nutrition platform was well perceived by users and their carers. As participants managed their diabetes well, adding an education component would be specifically relevant for people less familiar with the role of diet in diabetes management. To assess the platform’s effectiveness in improving diabetes-related health indicators, controlled studies with a larger and more diverse participant sample are recommended.
Developing Implementation Strategies to Support the Uptake of a Risk Tool to Aid Physicians in the Clinical Management of Patients With Syncope: Systematic Theoretical and User-Centered Design Approach
Authors: Rouleau Geneviève , Thiruganasambandamoorthy Venkatesh , Wu Kelly , Ghaedi Bahareh , Nguyen Phuong Anh , Desveaux Laura
Published: April 2023

Background

The Canadian Syncope Risk Score (CSRS) was developed to improve syncope management in emergency department settings. Evidence-based tools often fail to have the intended impact because of suboptimal uptake or poor implementation.

Objective

In this paper, we aimed to describe the process of developing evidence-based implementation strategies to support the deployment and use of the CSRS in real-world emergency department settings to improve syncope management among physicians.

Methods

We followed a systematic approach for intervention development, including identifying who needs to do what differently, identifying the barriers and enablers to be addressed, and identifying the intervention components and modes of delivery to overcome the identified barriers. We used the Behaviour Change Wheel to guide the selection of implementation strategies. We engaged CSRS end users (ie, emergency medicine physicians) in a user-centered design approach to generate and refine strategies. This was achieved over a series of 3 qualitative user-centered design workshops lasting 90 minutes each with 3 groups of emergency medicine physicians.

Results

A total of 14 physicians participated in the workshops. The themes were organized according to the following intervention development steps: theme 1—identifying and refining barriers and theme 2—identifying the intervention components and modes of delivery. Theme 2 was subdivided into two subthemes: (1) generating high-level strategies and developing strategies prototypes and (2) refining and testing strategies. The main strategies identified to overcome barriers included education in the format of meetings, videos, journal clubs, and posters (to address uncertainty around when and how to apply the CSRS); the development of a web-based calculator and integration into the electronic medical record (to address uncertainty in how to apply the CSRS); a local champion (to address the lack of team buy-in); and the dissemination of evidence summaries and feedback through email communications (to address a lack of evidence about impact).

Conclusions

The ability of the CSRS to effectively improve patient safety and syncope management relies on broad buy-in and uptake across physicians. To ensure that the CSRS is well positioned for impact, a comprehensive suite of strategies was identified to address known barriers.
Implementation of Factor Analysis and BiClustering in Classifying Multidimensional Under-Five Poverty in East Nusa Tenggara
Authors: Wisdawati Rahmadathul , Nooraeni Rani , Laksono Bagaskoro Cahyo , Fatah Bintang Izzatul
Published: April 2023

Under-five poverty is a condition where the needs of toodlers are not met, resulting in undernourished children and unable to reach their full potential in the social sphere. East Nusa Tenggara is a province that still faces the biggest nutritional problems in Indonesia in 2019. This study aims to explain the variables that form toodlers multidimensional poverty in East Nusa Tenggara (ENT), form the Multidimensional Under-Five Poverty Index (MUPI), and compare the results of index formed with the results of bicluster. Data source used in this study is SUSENAS KOR 2019. The analytical method used is a factor and bicluster analysis. The results shows that 11 multidimensional poverty indicators form three dimensions, namely the Adequate Food and Beverage Facility Factor, Health Protection Factor, and Housing and Nutrition Factor, which is used to form the index. Based on regional grouping, there are five areas with low MUPI scores, fourteen areas with medium MUPI scores, and three areas with high MUPI scores. However, biclustering results show that there are two areas with low poverty category, thirteen regions with moderate poverty category, and seven regions with high poverty category. The result of the comparison of MUPI grouping with the biclustering method obtained different results based on the composition of the resulting area.
Application of the Weighted Product Method in a Decision Support System to Determine Children's Multiple Intelligence
Authors: Fonga Wea Tae Yuliana Astiti , Kalaway Rambu Yetti , Leo Lede Pingky Alfa Ray
Published: April 2023

Intelligence cannot solely be measured in terms of intellectual intelligence. There are various types of intelligence in children, which cause teachers and parents require time to determine the type of intelligence of children. Quick and easy decision-making can be achieved using a decision support system. One method that can be adopted in the decision-making process of a decision support system is the weighted product method. This study aims to measure the level of accuracy of the weighted product method in determining the type of multiple intelligence of children. The decision support system determines the type of intelligence of children in early childhood (ages 4-6 years) using Garner's [1] eight types of multiple intelligences as decision-making criteria. The data was collected using interviews and questionnaires to the teachers of Mutiara State Kindergarten. The study found that a decision support system using the weighted product method can determine the type of children's multiple intelligences with an accuracy rate of 96%. Based on the result of analysis and calculation using the weighted product method from test questionnaire data of 55 children, compared to the results of identification by the teacher, it was found that the compatibility of 53 children.
Traditional Music Regional Classification using Convolutional Neural Network (CNN)
Authors: Luis Raymond , Rokhman Nur
Published: April 2023

Traditional Indonesian music is an Indonesian cultural heritage that is often forgotten by modern society. Many people do not know which area the traditional music came from. This is a problem because of the large amount of traditional music that loses its identity. Deep Learning technology can be a solution to this traditional music classification problem. The topic of traditional music classification was chosen because there has been no research using this topic before.This research will classify traditional music based on the area of origin using data from Youtube with the extraction method of the Mel-Frequency Cepstral Coefficients (MFCC) feature and the Convolutional Neural Network (CNN) classification model. There are 7 provinces that will be used as classification labels, namely Riau, Papua, Special Capital District of Jakarta, Special Region of Yogyakarta , North Sumatra, West Java, and South Sulawesi.The classification system produced in this study produced good classification accuracy with a value of 74.03%.
Naive Bayes Method and C4.5 in Classification of Birth Data
Authors: Afandi Asep , Noviana Noviana , Nurdianah Deti
Published: April 2023

Data on the birth and productive age of a mother to get pregnant in Lampung is still high. to find out the comparison of the productive age of pregnant women and whether they have met the minimum and maximum requirements for a mother to become pregnant, and the criteria for babies born. Where the results of data processing will be used as a source of data for counseling mothers, especially for residents of Banjar Kertahayu village. The data processing requires a special method so that the results become a benchmark for a decision later, such as Data Mining. The method used for data processing used is Naive Bayes and C4.5 Algorithm. The data used is birth data in 2017-2021, the source of data from the Banjar Village Midwife-Central Lampung Regency. Research Results Method C 4.5 Middle age has a dominant age category value of 0.3324138. where the highest value is in 2017, and accuracy is 100 percent from the 2017-2021 data. The baby weight criterion using the Naïve Bayes Class Method has a dominant Middle-aged category value of 0.09675, the highest value in 2017, The results of accuracy for 5 years have accuracy of 92.84% based on 2017-2021 birth data
Seleksi Fitur dengan Artificial Bee Colony untuk Optimasi Klasifikasi Data Teh menggunakan Support Vector Machine
Authors: Suhaila Suhaila , Lelono Danang , Sari Yunita Sari
Published: April 2023

Tea quality can be recognized through the aroma it produces. Tea classification using e-nose generally only detects aroma using a general gas sensor. However, redundancy of sensor features can cause a decreasing in the system performance. Therefore we need a system that can select features so the classification performance becomes optimal. A software system of feature selection was built to optimize classification performance. Input data for the system is e-nose sensor response to 3 black tea qualities. The features are sensors on the e-nose instrument. Feature selection is implemented using wrapper approach, ABC algorithm is used for feature selection, then the selected features are evaluated by SVM classification. The results of the ABC-SVM system are then compared with the SVM only system. The results showed that from 12 e-nose sensors, sensors that most characterized black tea quality were TGS 2600, TGS 813, TGS 825, TGS 2602, TGS 2611, TGS 832, TGS 2612, TGS 2620 and TGS 822. Meanwhile, MQ-7, TGS 826 and TGS 2610 sensors are redundant in the system because the gas detected by the 3 sensors can be represented by other sensors. With the reduction in features to 9, the classification accuracy performance increased by 16.7%.
Rancang Bangun Sistem Irigasi Otomatis Berbasis RTC Menggunakan Solar Panel
Authors: Wulandari Rindi , Nurdiyanto Nurdiyanto , Taryo Taryo , Nunu Nunu
Published: April 2023

Sinarancang  Village,  Mundu  District,  Cirebon  Regency  is  one  of  the  best  agricultural producing  villages  in  Mundu  District.  Agriculture  will  become  more  productive  as  a  result  of developments  and  new  technologies  such  as sensors,  devices,  and  information  technology  that can  group  data  into  big  data.  Watering  with  the  manual  method  is  less  effective  because  it requires  time,effort,  and  operators  who  cannot  leave  the  land  for  a  long  time.  Therefore,  an Automatic  Irrigation System  based on  solar panels  was  created  and  implemented. This  system uses  Real  Time  lock  (RTC)  as  a  time  calculator.  The  type  of  RTC  used  is  the  RTC  DS  1307 which  is  compatible  with  Arduino.  Solar  Panels  are  used  as  a  substitute  for  PLN's  power supply. System components consist of solar panels, control boxes, pumps, and nozzle taps. The system has been tested and the voltage to activate the pump is about 12volts. The time interval for  circulating  air  in  the  nozzle  faucet  when  the  pump  is  active  is  about  6-10  seconds.  The system  is  implemented  on  dry  land  by  utilizing  air  sources  from  higher  ground  so  that  it  is effective for the watering system
Study of Socio-Economic-Cultural Impacts and Community Health Due to Oil and Natural Gas Exploration Activities in the Tuban Oil and Gas Field
Authors: Patimah Ai Siti , Murti Sigit Heru , Prasetya Agus
Published: April 2023

This research is a social study by capturing several problems in the oil and gas sector combined with literature studies that have relevant themes. This study aims to determine the social, economic, cultural and health impacts of the oil and gas company's exploration activities in the Tuban Oil and Gas Field. Data collection was in the form of primary data and secondary data in semester II of 2018. The methods used in this study were qualitative and quantitative methods. Qualitative methods taken from primary data, namely observation and interviews. Primary data were obtained through direct observation and interviews with respondents selected by purposive sampling. The quantitative method uses secondary data obtained from research documents and reports relating to government agencies and companies. Primary data and secondary data were combined and then conducted interviews to obtain deeper information using the forum group discussion (FGD) method. The final data obtained were analyzed using descriptive statistical methods. The results of the study show that there are jobs for local workers, but the information is still not transparent and most of the jobs are temporary projects. Most people know and feel the benefits of the presence of oil and gas companies in their area. The community expects the company's attention to reduce people's concerns about oil and gas activities. Conflicts often occur due to delays in the disbursement of compensation funds and the implementation of CSR, as well as several oil and gas company activities that have a direct impact on the community. The company's efforts to boost the local economy by increasing employment opportunities and increasing wage rates. Meanwhile, in terms of public health, it cannot be determined with certainty whether there is a correlation between disease and the activities of oil and gas companies. In general, oil and gas companies have a positive impact on the community around the working areas of oil and gas companies.
The role of Smart Education (SE) in supporting Digital Eco-Literacy (DEL) Aminah Zuhriyah
Authors: Zuhriyah Aminah
Published: April 2023

The rapid development of computer technology today has implications for high quality educational services and resources. Meanwhile, this era of Smart Education (SE) has given a new picture that the openness and sharing of global knowledge become a top priority for the advancement of education, especially in Digital Eco-Literacy (DEL) learning. The study aims to understand in depth the role of Smart Education (SE) in supporting the development of Digital Eco-Literacy (DEL). The research method used is a qualitative technique with a review paper approach. The findings show that SE will be the key to effectively and efficiently developing DEL Learning. A positive impact on improving student achievement and the ability to understand various environmental problems with a more dynamic and innovative perspective should be considered.
Clima de empoderamiento, tipos de motivación, diversión y aburrimiento en jóvenes deportistas
Authors: Gutiérrez-García Pablo , Castillo-Jiménez Nallely , Ríos-Domínguez Rodolfo , González-Fiambres Roberto A. , Ramírez-Siqueiros María Grethel , López-Walle Jeanette M.
Published: April 2023

Los climas empoderamiento creados por los entrenadores son determinantes en la motivación de los jóvenes deportistas y en la diversión de las actividades deportivas. Basado en algunos de los constructos de la secuencia teórica propuesta por Duda et al., (2018), se puso a prueba un modelo con la siguiente secuencia: clima de empoderamiento (empowering) ® tipos de motivación ® diversión y aburrimiento, en deportistas jóvenes de Hermosillo, Sonora. Participaron 373 deportistas (204 hombres y 169 mujeres), con edades comprendidas entre los 12 a 16 años (M = 13.95, DT = 1.11), los cuales completaron los instrumentos que evaluaban las variables de estudio. El análisis a través de un modelo de ecuaciones estructurales confirmó que el clima de empoderamiento se interrelaciona positivamente con la motivación intrínseca, y esta a su vez, con la diversión; de forma contraria, el clima de empoderamiento se relaciona negativamente con la motivación extrínseca y no motivación, y estas a su vez se relacionan positivamente con el aburrimiento. Se confirma que la creación de climas empoderadores por parte de los entrenadores, generan motivación de calidad (intrínseca) en los jóvenes deportistas, logrando mayor diversión lo que implicará un desarrollo óptimo en las actividades deportivas.
Conducta perniciosa: efecto de la exposición a diferentes condiciones de perjuicio.
Authors: Rocha Hernandez Edgar , Olvera Hernández Sandra Liliana , Díaz Garduño Ángel Fernando , Basaldúa Martínez Lizette Atzhiri , Silva Victoria Héctor Octavio
Published: April 2023

En el marco del estudio interconductual de la conducta socialmente valorada, se llevó a cabo una investigación con el objetivo de evaluar el efecto de la exposición a diferentes secuencias de perjuicio sobre la conducta perniciosa. Participaron 30 estudiantes de la carrera de Psicología, distribuidos aleatoriamente en una de seis posibles secuencias de perjuicio. La investigación se llevó a cabo en tres sesiones caracterizadas por distintas condiciones de perjuicio. Se aplicó una prueba estadística no paramétrica Kruskal-Wallis para examinar las diferencias entre las secuencias. Se encontraron diferencias significativas entre las mismas (P<0.01). Además, independientemente de las secuencias, se encontró que se perjudica más en las condiciones de perjuicio en las que: a) el perjuicio se dirige al participante en cuestión, b) se identifica al compañero que emite el perjuicio y, c) el compañero tiene ventaja de puntos. Se discute acerca de la relevancia de los elementos del episodio interactivo para fomentar conductas particulares pese a la valoración social que las describe.
Efecto del aprendizaje discriminativo previo sobre la conducta de búsqueda de alimento en el laberinto radial: los brazos del laberinto como posibilitadores de acción y el ED como inductor aprendido
Authors: Camacho Candia Josué Antonio , Cabrera Felipe
Published: April 2023

e evaluó el efecto del aprendizaje discriminativo previo sobre la conducta de búsqueda de alimento en el laberinto radial no elevado con tres configuraciones. Se trabajó con 24 ratas macho divididas en tres grupos. En la primera fase (preprueba) las ratas debieron obtener el alimento que se encontraba en los contenedores del laberinto radial al final de cada brazo del laberinto. En la segunda fase (entrenamien-to) los tres grupos fueron expuestos a una tarea de discriminación visual simple en una caja de condicionamiento operante. En la tercera fase (posprueba) los sujetos nuevamente fueron expuestos al laberinto radial correspondiente, en donde algunos contenedores, ahora en extinción, fueron señalados por el estímulo discriminativo (ED) entrenado en la fase anterior. Los resultados mostraron que durante la posprueba la probabilidad de elegir inicialmente un contenedor con ED fue menor en los casos que no correspondía con la presencia de brazos que conducían a él y aumentó la conducta exploratoria en la plataforma de inicio. Se discute el papel de los posibilitadores de acción (Affordances) en el desempeño de los sujetos y la importancia de la configuración del laberinto y del inductor entrenado para la búsqueda de alimento desde una perspectiva de los sistemas conductuales.
VARIABLES ASOCIADAS A LA COMUNICACIÓN SOBRE SEXUALIDAD EN VARONES QUE TIENEN HIJOS CON DISCAPACIDAD
Authors: Bárcena Goana Susana Xóchitl , Enríquez Negrete David Javier , Sánchez Medina Ricardo , Martínez Hernández Alma Edelia
Published: April 2023

El objetivo de esta investigación fue identificar las variables asociadas con la comunicación sobre sexualidad en varones que tienen hijos con discapacidad. Se trabajó con una muestra de 32 hombres a quienes se les aplicó un instrumento de auto informe para conocer sus características sociodemográficas (sexo, edad, estado civil, ocupación, religión, ingreso mensual y número de hijos) y las de sus hijos (sexo, edad, escolaridad, tipo de discapacidad, origen de la discapacidad y edad a la que se presentó), sus conocimientos y creencias sobre sexualidad (positivas y negativas), supervisión y apoyo parental, roles de género, expectativas (positivas y negativas), formas de comunicación y comunicación sobre sexualidad. Los resultados indican que la comunicación sobre sexualidad se correlaciona de forma positiva con las creencias positivas y de forma negativa, con las expectativas negativas y los roles de género. Se discuten la implicaciones de los resultados de esta investigación en el diseño de programas de intervención dirigos específicamente a padres varones cuyos hijos tienen discapacidad.
Detection of invariants in probabilistic relations between events through exploratory behaviors
Authors: Covarrubias Pablo , Cabrera Felipe , Jiménez Ángel Andrés
Published: April 2023

Research has demonstrated that individuals are sensitive to contingent probabilistic relations between events in the environment. However, the factors that underlie this adaptation are not fully understood. Thus, the aim of this study was to assess whether repetitions and variations in participants’ responses contributed to the detection of invariance in probabilistic environments. In Experiment 1, participants were exposed to relations between the initial and final trajectories of an arrow under probabilities of 1.0, 0.9 and 0.8. In the first half of the session, the arrows followed predominantly straight trajectories, but in the second half they changed to broken ones, or vice versa. In Experiment 2, sessions began with no relation between the arrows’ initial and final trajectories (p= 0.5), but in the second half probabilities of 1.0, 0.9 and 0.8 were presented for straight or broken trajectories. In both experiments, as the relation between the arrow’s initial and final trajectories became more changeable variations of behavior increased, while under more constant relations repetitions increased. Results support the notion that adaptation to probabilistic relations between events entails exploratory behaviors performed to detect invariant information of the environment.
Evaluación de Apps educativas relacionadas con el tema de balanceo de reacciones químicas
Authors: Uribe-Guerrero Emilbus A. , Acosta-Mesa Dania R.
Published: April 2023

La presencia de recursos digitales como las apps o aplicaciones móviles con un propósito educativo preciso y utilizado como herramienta complementaria a la labor docente flexibiliza y dinamiza, entre otras, el proceso de enseñanza/aprendizaje. En este estudio, se seleccionaron y evaluaron diferentes apps educativas relacionadas con el tema de balanceo de reacciones químicas. Las apps mejor evaluadas por los docentes e incluidas dentro del proceso de enseñanza/aprendizaje de estudiantes universitarios fueron Chem Calc - Equation Balancer & Element Dictionary y Chemical Equation Balance.La percepción general, después del uso de estos dos recursos, fue favorable y la calificación descriptiva que les otorgaron fue: motivantes, lúdicas, que diversifican la conducta del docente en cuanto a uso de recursos se refiere, que aumentan los espacios de participación por parte del estudiante e idóneas porque ayudan a mejorar su comprensión en el tema y a verificar los ejercicios que se hubiesen realizado.
Inteligencia artificial en el diseño de fármacos: hacia la inteligencia aumentada
Authors: Saldivar-González Fernanda I. , Fernández- de Gortari Eli , Medina-Franco José L.
Published: April 2023

El desarrollo e investigación de fármacos es un proceso complejo que a menudo se percibe más como un arte que como una ciencia. Las muchas incógnitas de las enfermedades humanas, su complejidad, y el gran tamaño del espacio químico para encontrar fármacos potenciales, hacen que la toma de decisiones en Química Farmacéutica sea excepcionalmente exigente. Por tal motivo, durante décadas y especialmente en años recientes, se han integrado al proceso de diseño de fármacos modelos computacionales, y en particular, modelos de inteligencia artificial (IA) en combinación con su uso racional (inteligencia e intuición humana basada en la experiencia). Aquí se proporciona una descripción general y crítica de ejemplos recientes de aplicaciones de IA en el diseño y desarrollo de fármacos. Se hace una discusión de los conceptos y enfoques computacionales involucrados, y se analizan las posibilidades y limitaciones del diseño de fármacos utilizando IA en conjunto con su uso racional (o “el razonamiento humano”): inteligencia aumentada.
Question Summation and Sentence Similarity using BERT for Key Information Extraction
Authors: Sharma Kanak , Singh Kamya , Sharma Karthik , Gupta Janhavi
Published: April 2023

Abstractt: In this study, we explore the use of BERT-based techniques for summarization and sentence similarity check in the context of important question answering. We propose a novel approach that combines BERT-based summarization and semantic similarity checking to extract key information from textual inputs and predict the most important Questions. Our experiments demonstrate that our approach achieves state-of-the-art performance on several benchmark datasets, surpassing traditional machine learning and deep learning techniques. We also evaluate the effectiveness of our approach on real-world examples and show that it can be applied to a wide range of important question answering tasks, including medical diagnosis, legal case analysis, and financial forecasting. Our results suggest that BERT-based summarization and sentence similarity check can greatly improve the accuracy and efficiency of important question answering systems, and have the potential to benefit a variety of domains and applications. This abstract provides a brief overview of the main goals, methods, and results of the study, highlighting the key contributions and potential implications of the proposed approach. It also mentions some of the domains and applications that could benefit from the use of BERT-based techniques for summarization and sentence similarity check in important question answering
Bias Present in Computerized Algorithms
Authors: Alzahdi Jana , Mall Munira , Yalak Muath Salah Al-
Published: April 2023

Abstract: Automation biases stemming from deep-rooted computer algorithms are blamed for the false results and misinterpretations it presents; However, algorithmic biases in machine learning models are based on user interpretation and input, and therefore the machine's output may not correspond with the input's attitude. This stems from the variety of information that is fed in machine learning models and possible faulty glitches within computers themselve
User Activity Prediction on Social Network Using Machine Learning
Authors: Verma Tamanna , Gupta Reshmi Kumari , Kumari Dimple , Soni Er. Kamal
Published: April 2023

Abstract: The aim of paper is to prognosticating the online social network of people for chancing their eventuality, chancing fake information and reality. The study considers the popular social networking sites like Facebook, Twitter, and LinkedIn which are available for people to share there point of views and where they may unintentionally or intentionally provide personal information about themselves, such as their interests, comments, and likes and dislikes. The work that has been done to date to gather data on a specific person in order to profile that person's introductory information is addressed by machine learning. These media profiles are helpful to identify the personality t of a person and their original information, which is essential for chancing the Government to identify people involved in spreading fake news in social network communities. Introduce the latest machine learning trend used in this study to test each person's uniqueness as they interact with the social networking community. Millions of individuals use social media platforms to communicate with friends, family, and companies, and its use has expanded significantly in recent years. Social media firms are continuously looking for techniques to forecast user behavior on their platforms, such as likes, shares, and comments, in order to enhance user experience. To study user behavior and create predictions based on prior encounters, machine learning techniques can be employed. This study investigates how machine learning may be used to forecast user behavior on social networks.
A Proveable Contextual Retrieval Strategy in the Public Cloud Using Optimal Matching over Secured Data
Authors: Bhandekar Prof. Rahul , Kumbhalkar Pranay
Published: April 2023

Abstract: Semantic searching over encrypted data is a crucial task for secure information retrieval in public cloud. It aims to provide retrieval service to arbitrary words so that queries and search results are flexible. In existing semantic searching schemes, the verifiable searching does not be supported since it is dependent on the forecasted results from predefined keywords to verify the search results from cloud, and the queries are expanded on plaintext and the exact matching is performed by the extended semantically words with predefined keywords, which limits their accuracy. In this paper, we propose a secure verifiable semantic searching scheme. For semantic optimal matching on ciphertext, we formulate word transportation (WT) problem to calculate the minimum word transportation cost (MWTC) as the similarity between queries and documents, and propose a secure transformation to transform WT problems into random linear programming (LP) problems to obtain the encrypted MWTC. For verifiability, we explore the duality theorem of LP to design a verification mechanism using the intermediate data produced in matching process to verify the correctness of search results. Security analysis demonstrates that our scheme can guarantee verifiability and confidentiality. Experimental results on two datasets show our scheme has higher accuracy than other schemes.
Gesture Detection and Its Applications Using Python and OPENCV
Authors: Saraswathi Dr. M. , Kaasyap K R , Vamsi P V Sai
Published: April 2023

Abstract: In our world, Time and Effort are worth more than money. With everything around constantly becoming easier and easier to do, we still dream of having work done by actually doing next to nothing. Making things happen with the snap of a finger (quite literally with our paper) is so close yet so far from our grasp. In our paper we aim to use these kind of hand gestures to make complex actions happen. Our aim is to create a System that can Intake and Understand Commands and then use said commands in various Static and Dynamic Environments.
A Review on new Era Medical Healthcare Services with Privacy-free Data Fusion and Integration Methods
Authors: Dagar Preeti
Published: April 2023

Abstract: In this growing age of Internet of Health (IoH), with rapidly going Web and Internet services more and more organization national and world-wide transferring data and information both personal and professional on cloud, our traditional health and medical services are also migrating and transforming in a new age mod- ern healthcare system. Thus, having a large amountof available medical data regarding doctors, patients, medical infrastructures, medicine, treatment plans andprocedures and so on. This information is often very help full in medical care services and in preventing many health disasters by providing right data at right time. But this comes with a very challenging task of carefully integrating the sensitive data, and making sure of user privacy in not disclosed while doing this. In these papers we are analyzing various works done on this problem and trying to come up with a suitable and possible solution, for a better health care services a multi-source data integration and mining method for medical data, named as PDFM (Privacy-free Data Fu- sion and Mining), to search for similar medical records in privacypreserving and time-efficient manner. In this paper we are reviewing as many as research mythologies as we can, to understand the how the tech- nology is changing our healthcare services, and how IoH is being used to save patient life as well as mentining their privacy.
Integration of Footstep Power Generation with Energy Storage Systems for Sustainable Power Supply
Authors: Rakesh M. , Hemanth V. , Sujith M. , Preetham R. Shashi
Published: April 2023

Abstract: This design is generating electricity in a non traditional expressway in this type we exercise piezo sequel to induce electricity the pressure is applied on piezo component which creates the electricity that sequel exercised in step authority generation, in this we created a mechanical arrangement for them to turned on bedded system. The at mega 8/168/328 microcontroller is exercised control the tackle outfit detention on colorful outfit it can numerous tackle outfit through the series law and detention. the bedded system is interface with TV( liquid demitasse exposition) and the step count is reflected down in the TV the system main function and regulator is Arduino uno Ac and Dc regulator unidirectional regulator, 12v,1.3 Amp supereminent acid battery and an inverter is assumed 12 volts ac is converted to ac force the loads are actuated utilizing 230 volts Ac we're utilizing rechargeable battery to authority the compass and AURDINO is interface between the liquid demitasse flash 16X2 exposition. Though it will not meet the demand of electricity but as a matter of fact if we're suitable to design a authority generating bottom that can produce 100W on precisely 12 way, also for 120 way we can produce 1000 Watt and if we install similar type of 100 bottoms with this system also it can produce 1MegaWatt. Which itself is an acquirement to make it significant.
Problem alienasi sebagai akibat ketakterwakilan di dalam masyarakat: Analisis pemikiran matematika sebagai ontologi Alain Badiou
Authors: Syaebani Muhammad Irfan , Yuwono Untung , Ekosiwi Embun Kenyowati
Published: April 2023

Alain Badiou adalah salah satu filsuf yang terpengaruh pemikiran Marxisme. Melalui matematika, Badiou mencoba menjelaskan kondisi sosial-politik masyarakat dalam bingkai Marxisme. Bagi Badiou, di dalam masyarakat selalu ada komponen yang tidak terwakili meskipun ada di dalam masyarakat. Komponen tersebut menjadi tidak terwakili karena tidak terhitung sebagai elemen masyarakat dan akibatnya menjadi teralienasi. Keberadaan kelompok yang tealineasi ini dapat diidentifikasi melalui penjabaran himpunan ke dalam himpunan-himpunan bagian dan kelompok ini menjadi himpunan kosong yang selalu mendasari setiap himpunan tetapi tidak pernah terhitung. Artikel ini menjelaskan ontologi masyarakat melalui analisis teks pemikiran Badiou yang menggunakan matematika terutama teori himpunan. Beberapa keberatan terhadap pemikiran Badiou pun dijabarkan di dalam artikel ini.
 
Alain Badiou is a philosopher who is affected by Marxism. Through mathematics, Badiou explains the social-political condition of society using the Marxism framework. According to Badiou, there is always a component which is excluded even though the component is inherent in the society itself. The component becomes excluded or alienated because it is uncounted as an element; thus, it experiences exclusion. The availability of the component could be identified through the subsets axiom, and the component is identified as an empty set. An empty set is the basis of every set but never being counted. This article tries to explain the ontology of society through Badiou’s thought which optimizes mathematics especially set theory. Several objections to Badiou’s thought are also discussed in the paper.
Gambaran nilai dan kebiasaan budaya Jawa dan Batak pada pengendalian diri: Analisis psikologi budaya
Authors: Trismayangsari Riska , Yuliana Hanami  , Hendriati Agustiani  , Shally Novita
Published: April 2023

Jawa dan Batak sebagai dua suku terbesar di Indonesia memiliki perbedaan cukup mencolok dari cara berbicara dan bersikap. Tak hanya itu, nilai-nilai yang diajarkan pada anak-anaknya melalui pengasuhan juga dapat berbeda, salah satunya adalah nilai dalam pengendalian diri. Tujuan dari penelitian ini adalah untuk melihat gambaran nilai-nilai budaya yang diajarkan melalui pengasuhan yang berkontribusi dalam mempengaruhi pengendalian diri. Penelitian ini menggunakan pendekatan kualitatif deskriptif. Partisipan dalam studi ini berjumlah empat orang dengan dua orang bersuku Jawa dan dua orang bersuku Batak. Data diperoleh melalui wawancara yang dilakukan melalui google meet. Hasil penelitian menemukan bahwa nilai-nilai yang berkontribusi dalam membentuk pengendalian diri dari suku Jawa adalah sopan santun atau tata krama, kejujuran, disiplin, dan kepercayaan. Sementara pada suku Batak adalah nilai tanggung jawab, agama, pendidikan, dan kejujuran. Oleh karena itu, adanya pengaruh budaya yang diturunkan terhadap pengendalian diri dapat menjadi pertimbangan dalam melakukan intervensi. 
 
Javanese and Batak are the two largest ethnic groups in Indonesia. They have pretty striking differences in the way they speak and behave. Not only that, but the values taught to their children through parenting can also be different. One of them is the value of self-control. This study aims to find out the picture of cultural values taught through parenting that contributes to influencing self-control. This research uses a descriptive qualitative approach. The participants in this study were four people. They are two Javanese and two Batak. The data was obtained through interviews via google meet. The result of the study found that the values that influence the self-control of the Javanese are manners, honesty, discipline, and trust while the Batak are responsibility, religion, education, and honesty. Therefore, the influence of inherited culture on self-control can be considered in intervening.
高考 Gāokǎo sebagai penentu masa depan: Tinjauan film Better Days (少年的你 Shào Nián de Nǐ)
Authors: Rakhmatika Dhea Ananda , Ayesa Ayesa , Ningsih Tri Wahyu Retno
Published: April 2023

高考 Gāokǎo adalah sistem ujian masuk perguruan tinggi nasional di Tiongkok. Sistem ujian 高考 gāokǎo menjadi salah satu fenomena di Tiongkok karena dianggap penting untuk menentukan masa depan siswa (Liu, 2006). Tujuan dari penelitian ini adalah untuk mengetahui urgensi 高考 gāokǎo sebagai penentu masa depan siswa di Tiongkok dalam film “Better Days” atau dalam Bahasa Mandarin berjudul 《少年的你 Shào Nián de Nǐ》. Penelitian ini merupakan penelitian kualitatif deskriptif dengan menggunakan paradigma fenomenologi. Data penelitian ini menggunakan transkripsi data tekstual berupa dialog Bahasa Mandarin antar tokoh-tokoh film “Better Days”. Data dianalisis menggunakan teori Liu (2006) mengenai peran penting ujian 高考 gāokǎo. Melalui empat belas data berupa dialog yang berkaitan dengan ujian, diketahui bahwa 高考gāokǎo dianggap penting bagi guru, orang tua, dan siswa itu sendiri. Dari sudut pandang guru, 高考 gāokǎo sebagai pembimbing pengajaran dan pembelajaran di sekolah menengah dan juga mengangkat derajat guru dan sekolah. Selanjutnya, dari sudut pandang orang tua yaitu kelak dapat memperbaiki kehidupan perekonomian dan mengangkat derajat keluarga. Terakhir, dari sudut pandang siswa, 高考 gāokǎo menjadi harapan untuk mengubah status sosial di masa depan dan kehidupan yang sejahtera.
 
高考 Gāokǎo is The National College Entrance Examination which is held in China. It has become a phenomenon in China since it is considered important to determine students’ future (Liu, 2006). The aim of this study is that to know the urgency of  高考 gāokǎo as a determinant of the students’ future in China in the film “Better Days” or in Mandarin entitled 《少年的你 Shào Nián de Nǐ》. Furthermore, this study was a descriptive qualitative research by using a phenomenological paradigm. The data of this study used transcription of textual data in the form of dialogues in Mandarin between the characters in the film “Better Days”. Moreover, the data were analyzed by using (Liu, 2006) theory regards to the important role of the高考gāokǎo examination. Through fourteen data in the form of dialogues related to exams, it shows that高考gāokǎo is considered important for teachers, parents, and the students themselves. Meanwhile, from the teacher’s point of view, 高考gāokǎo has function to guide teaching and learning in senior high schools; besides, it has function to elevate teachers and schools. In addition, from the parents’ point of view, it can improve economic life in the future and elevate the degree of the family. Finally, from student’s point of view, 高考gāokǎo is a hope for changing social status in the future and a prosperous life.
Strategi komunikasi pemasaran The Body Shop melalui brand ambassador: Studi kasus Iqbaal Ramadhan
Authors: Aisya Salma , Febriana Poppy
Published: April 2023

Strategi pemasaran memainkan peran penting dalam bisnis untuk mencapai tujuan bisnis yang tepat. Strategi pemasaran yang tepat banyak digunakan dengan cara memasangkan sebuah iklan atau promosi. Salah satunya menggunakan strategi brand ambassador. Penelitian ini bertujuan untuk menganalisis bagaimana strategi komunikasi pemasaran The Body Shop dalam menciptakan brand image. Dengan memanfaatkan Iqbaal Ramadhan sebagai brand ambassador. Jenis penelitian ini menggunakan metode deskriptif kualitatif dengan penelitian studi kasus. Penelitian ini menggunakan teori  FRED yaitu familiarity, relevance, esteem, dan differentiation. Data yang dikumpulkan melalui beberapa postingan akun media sosial dari The Body Shop dan akun pribadi Iqbaal Ramadhan. Berdasarkan hasil penelitian ini The Body Shop menggunakan strategi pemasaran sosial media Instagram, TikTok, dan website yang menjadi sebuah media komunikasi juga media penghubung antara konsumen The Body Shop serta penggemar Iqbaal Ramadhan dan para generasi milenial saat ini agar informasi mengenai The Body Shop juga dikenal ke khalayak.
 
Marketing strategy plays an essential role in achieving the right business goals. The right marketing strategy is widely used by placing an advertisement or promotion. One of them is using the brand ambassador strategy. This study analyses how The Body Shop's marketing communication strategy for creating a brand image by utilizing Iqbaal Ramadhan as a brand ambassador. This type of research uses a qualitative descriptive method with case study research. This study uses the FRED theory: Familiarity, Relevance, Esteem and Differentiation. Data was collected through several social media posts from The Body Shop and Iqbaal Ramadhan's personal account. Based on the results of this study, The Body Shop uses a social media marketing strategy of Instagram, TikTok, and a website which is a medium of communication as well as a liaison medium between The Body Shop consumers and Iqbaal Ramadhan fans and the current millennial generation so that information about The Body Shop is also known to the public.