bluuebunny/crossref_metadata_2025 huggingface dataset:
Penerapan Metode Association Rule untuk Mengetahui Faktor-Faktor yang Mempengaruhi Kelahiran Bayi
Authors: Lala Arika  , Yani Maulita  , Magdalena Simanjuntak
Published: November 2024

Birth problems are one of the problems that have not been resolved in various regions, where an average mother gives birth to three to four children. The increase in population due to births will also affect various aspects of development, and pose a big risk to ensuring community welfare. For example, opportunities to obtain educational facilities, job opportunities, health insurance, housing and can increase opportunities for increasing poverty and crime. To find out which factors influence the birth of a baby, an association rule is needed to find out which factors influence the birth of a baby which can be seen from several criteria such as a woman who has a low level of education or a bachelor's degree, a woman who marries at an old age. , or women who marry underage, give birth naturally or surgically. Association rules are a data mining technique for determining the relationship between items in a set of data that has been determined. By determining min support 0.01, confidence 0.1 and 7 itemsets, the results obtained are 25 data items with varying min support and confidence with a maximum support x confidence result of 100%. By using the a priori method, 14 of the best rules were produced by producing the most up-to-date information.
Penggunaan Metode Rough Set pada Tingkat Kecemasan (Anxietas) Mahasiswa dalam Menyusun Tugas Akhir
Authors: Nadilla Ayudia Pasa  , Yani Maulita  , I Gusti Prahmana
Published: November 2024

This study investigated college students' anxiety levels in completing their final projects, which is an important requirement for graduation. Anxiety is a common problem faced by students, which is often caused by the long and complicated process of preparing a final project. Using the Zung Self-Assessment Anxiety Scale (SAS/SRAS), this study aims to measure the level of anxiety and identify the main factors that contribute to it. The Rough Set Method, an efficient technique for analyzing uncertainty, was applied to identify patterns and relationships between factors influencing college students' anxiety. Data was collected through questionnaires from students who are currently completing their final projects. By applying the Rough Set Method, this research succeeded in identifying significant factors that influence anxiety levels, such as psychological, physical and positive responses. These findings provide valuable insight for educators and counselors to better understand and address college students' anxiety during the final years.
Prediksi Pengaruh Kegiatan MBKM terhadap Mahasiswa menggunakan Metode K-Nearest Neighbor
Authors: Farida Hanum  , Yani Maulita  , I Gusti Prahmana
Published: November 2024

The Merdeka Belajar Kampus Merdeka (MBKM) program provides students the opportunity to study for one semester outside of their major, aiming to develop the soft and hard skills required in the workforce. One key component of this program is internships or practical work, which gives students hands-on experience in the professional world and the chance to build professional networks. This research uses the K-Nearest Neighbor (K-NN) method to predict the impact of MBKM activities on undergraduate students at STMIK Kaputama. Using the RapidMiner application, student data was tested to obtain the accuracy of predicting students' engagement in the MBKM program in the future. The test results show that the K-NN model has an accuracy of 75.34%, indicating that the model is fairly good at predicting the impact of the MBKM program on students.
Korelasi Permasalahan Kulit Wajah terhadap Jenis Produk yang Digunakan Menggunakan Metode Apriori
Authors: Mairani Mairani
Published: November 2024

The Apriori method is one of the algorithms used in data mining to find association patterns, such as "association rules", in large data sets. This method was developed by Rakesh Agrawal and Ramakrishnan Srikant in 1994. The purpose is to test the correlation between facial skin problems and the type of product used by finding min support and min confidence using the apriori method.The results obtained based on this analysis are that there are 2 rules that meet the minimum requirements to form a combination of 2 itemsets with a minimum support value of 95% and a minimum confidence of 100%.
Analisis Literatur Review Perencanaan Strategi Sistem Informasi Menggunakan Metode Metode Five Competitive Force Pada CV. Bio Chitosan Indonesia
Authors: Susan Juli Safitri  , Gelar Alam Ramdhaniawan  , Asro Asro  , Novi Rukhviyanti
Published: November 2024

The rapid development of science and technology, in line with the progress of time, has led to the increased use of personal computers, playing a crucial role in assisting human tasks. Additionally, the use of technology in work processes helps to improve speed and accuracy compared to not using technology. Today, Systems Information and Technology (SI/IT) are not only needed as tools to support an organization's operational activities but also as an essential aspect of business strategy to achieve organizational goals. Computer-based information systems have now become a primary necessity for fulfilling information needs. Many sectors have utilized computer information systems as a means to simplify tasks. Therefore, this journal will discuss "Information System Strategy Planning using the Five Competitive Forces."
Blockchain-Based Secure Voting System: A Comparative Analysis of Consensus Protocols
Authors: Elizabeth Anne Johnson  , Victoria Grace Wilson  , William Robert Thompson
Published: November 2024

Blockchain technology presents a decentralized and transparent solution for secure voting systems. This paper provides a comparative analysis of consensus protocols, such as Proof of Work (PoW), Proof of Stake (PoS), and Delegated Proof of Stake (DPoS), to evaluate their effectiveness in a secure voting environment. Results show that PoS offers optimal security with reduced energy consumption, making it suitable for public elections.
Design GiggleGate as Desktop Virtual Assistant with Face and Speech Recognition Authentication System
Authors: Jasmine Aulia Mumtaz  , Kinaya Khairunnisa Komariansyah  , Wildan Holik  , Reza Pratama  , Muhammad Galuh Gumelar  , Endang Purnama Giri  , Gema Parasti Mindara
Published: November 2024

In recent years, virtual assistants have become an integral part of everyday life, simplifying routine tasks and allowing users to focus on more important matters. This research aiming to design GiggleGate, a virtual desktop assistant integrated with both face and speech recognition technology to enhance authentication security. The objective is to develop an authentication system that not only verifies user identity but also provides a more intuitive experience and seamless interaction. The research employs a development methodology to create and implement the system, which integrates face recognition via OpenCV and speech recognition via a Python library. The findings indicate that the integration of these technologies enhances security and user experience by offering dual-factor authentication. The system is expected to contribute to more secure and accessible virtual assistant applications, offering both a practical and efficient solution for users. The implications of this study suggest that the combination of face and speech recognition can provide an effective means to protect user privacy and improve the overall functionality of desktop assistants.
Nonlinear Control Techniques for Enhanced Stability in Renewable Energy Systems
Authors: Muhammad Abdullah Khan  , Usman Tariq Chaudhry
Published: November 2024

Renewable energy systems, particularly those incorporating solar and wind power, are prone to stability issues due to the intermittent and fluctuating nature of these energy sources. This paper investigates several nonlinear control techniques—namely, adaptive control, sliding mode control, and fuzzy logic control—that are designed to improve stability in renewable energy systems. Through simulations, we demonstrate how these methods can effectively reduce fluctuations and maintain stable energy output, offering a robust approach to enhancing the reliability of renewable energy systems.
Enhancing Security in Industrial IoT Through Blockchain-based Authentication Mechanisms
Authors: Phiang Jun Kong , Vivian Yong Siew Yee  , Bin Hilmi Hafizuddin , Dedree Leonna Lai  , Ng Ee Zoe  , Muhammad Faisal
Published: November 2024

The Industrial Internet of Things (IIoT) has revolutionized industrial processes, offering automation and data-driven decision-making. However, this interconnectedness brings new security challenges, especially in crucial infrastructure sectors. Traditional security measures are inadequate, leading to the exploration of innovative solutions. Blockchain technology has emerged as a promising solution due to its decentralized and immutable nature. This paper proposes a Hybrid Blockchain-Based Authentication Mechanism for IIoT, combining Delegated Proof of Stake (DPoS) and Elliptic Curve Cryptography (ECC). The hybrid architecture utilizes public and private blockchains to ensure scalability, efficiency, and security. Lightweight consensus algorithms, DPoS, are incorporated to optimize performance, while ECC provides efficient cryptographic techniques suitable for IIoT environments. An interoperable framework facilitates seamless integration with existing infrastructure, ensuring regulatory compliance and compatibility. Decentralized identity management further enhances security and privacy. Results and analysis demonstrate the effectiveness of the proposed solution, positioning hybrid blockchain architecture as the most suitable approach for enhancing security in IIoT environments.
Using Natural Language Processing to Enhance Customer Sentiment Analysis in Ecommerce
Authors: Andi Prasetyo  , Rina Dwi Lestari  , Rudi Hartono
Published: November 2024

Customer sentiment analysis provides valuable insights for ecommerce businesses, but traditional methods often fall short in handling complex and contextrich language. This paper explores the use of Natural Language Processing (NLP) techniques, including BERT and transformer models, to improve sentiment analysis accuracy in ecommerce. The study compares the performance of different NLP models in capturing nuanced customer sentiment from online reviews. Findings indicate that advanced NLP techniques substantially increase accuracy and offer practical applications for improving customer experience and business strategy in ecommerce.Keywords: Natural Language Processing, sentiment analysis, ecommerce, customer experience, BERT, transformer models.
Analyzing Grammatical Errors in The Undergraduate Thesis of Students of The Department of Arabic Language Education at Sultan Sharif Qasim Islamic State University Riau In 2017
Authors: Siti Nurdinah
Published: November 2024

This research aims to detect grammatical errors in the undergraduate thesis of students of the Department of Arabic Language Education at Sultan Sharif Qasim Islamic State University Riau in 2017. The design of this research is a descriptive qualitative research. The data collection tools are the official documents method. In this research, the researcher analyzed the grammatical errors in the university thesis, where the researcher went through three stages, namely: 1- Recognizing the error, the researcher looked at the texts of the supplementary research written in Arabic for students of the Department of Arabic Language Education at Sultan Sharif Qasim Islamic State University in 2017, and identified the errors in which the students deviated from the grammatical rules. 2 - Correcting the error, the researcher clarified what is correct 3 - Clarifying the error, the researcher clarified what are the correct rules in the Arabic language. The results of this research are: The grammatical errors made by the students of the Department of Arabic Language Education at Sultan Sharif Qasim Islamic State University, Riau, in writing the supplementary research are many, including those related to the section of marfu’at, manshubat, majrurat, majzumat, asma` ma’rifah, tawabi’ and murakkabat. The researcher found forty-nine errors in the section of tawabi’ (na’at haqiqy) and forty errors in the section of murakkabat (tarkib idhafah). The least number of errors were found in the section of majrurat and majzumat.
Peran Pemerintah Daerah dalam Mencegah Pembuangan Limbah Industri Secara Illegal
Authors: Sri Yunita  , Mita Agresia Gurning  , Nazwa Azzahra  , Eka Guspi Anti Siregar  , Tien Parsaulian Hutagalung  , Cindy Monalisa Sihombing
Published: November 2024

In carrying out economic development in Indonesia, it has an impact on the rampant environmental damage which means the rampant environmental crimes that occur in Indonesia. Basically, these development activities contain the risk of environmental pollution and damage. Lack of supervision of environmental management permits by authorized agencies, law enforcement officers who are less than optimal in enforcing environmental law and weak criminal sanctions and compensation applied to business actors who violate, cause a lack of deterrent effect on business actors who violate. In addition, the desire of business actors who only prioritize profit and do not care about environmental recovery by ignoring the management of solid waste of Hazardous and Toxic Materials (B3) which can have a fatal impact on the environment. Management of hazardous and toxic waste (B3) in Indonesia is guided by Government Regulation Number 101 of 2014 concerning Management of Hazardous and Toxic Waste (B3) and Law Number 32 of 2009 concerning Environmental Protection and Management. B3 waste is a waste or waste whose nature and concentration contain toxic and hazardous substances so that directly or indirectly it can damage the environment, disrupt health, and threaten the survival of humans and other organisms. B3 waste is not only produced from industrial activities but household activities can produce several types of this waste. The method used is normative legal research by examining the regulations and laws that regulate it. This study aims to determine the relationship between positive legal regulations and the problem of B3 waste and how to overcome this B3 waste so that the environment is maintained.
Diagnosa Penyakit Obsessive-Compulsive Disorder Menggunakan Metode Certainty Factor
Authors: Artika Dini Anggriani  , Akim M.H. Pardede  , I Gusti Prahmana
Published: November 2024

Obsessive-Compulsive Disorder (OCD) is a psychiatric disorder characterized by uncontrollable obsessive thoughts and compulsive behaviors. The disorder triggers anxiety in sufferers that often drives them to avoid situations or places that can trigger obsessions, such as shaking hands or using public restrooms. Proper treatment is necessary to prevent further impact on the quality of life of OCD sufferers. However, early diagnosis is often constrained by limited time and access to medical experts. To overcome this, an expert system based on the Certainty Factor method was developed. This system mimics the thought process of a medical expert in diagnosing OCD using symptoms selected by the user. Certainty Factor is used to calculate the certainty level of each diagnosis based on the inputted symptoms. From the analysis, the system is able to provide diagnoses with high accuracy, even reaching 100% for some OCD cases. These results show that expert systems can be an effective tool in detecting OCD early, thus accelerating the process of proper handling and treatment
Pemodelan K-Nearest Neighbor Untuk Identifikasi Pola Kepuasan Mahasiswa Terhadap Pelayanan Kampus (Studi Kasus : STMIK Kaputama)
Authors: Muhammad Rizky R Ritonga  , Marto Sihombing  , Selfira Selfira
Published: November 2024

This research focuses on using the K-Nearest Neighbor (KNN) algorithm to model student satisfaction with campus services. The study finds that the quality of the dataset strongly influences the accuracy of the KNN classification results. Factors such as data cleanliness, balanced class distribution, and sufficient training data volume are highlighted as crucial for a successful model. The research also emphasizes the significance of proper feature selection in enhancing classification performance, suggesting that irrelevant features can introduce noise and decrease model accuracy. The model was evaluated using a dataset of 1032 data points and K=5, achieving an accuracy of 93.72%. While the model performed well for certain classes such as "Very Good" and "None", challenges were encountered in classifying the "Fair" and "Deficient" classes. The study concludes that KNN is effective in identifying student satisfaction patterns but highlights the need for improvements in accurately classifying these challenging classes. Ultimately, the research underscores the importance of data quality and feature selection in enhancing the performance of classification models for student satisfaction analysis.
Aplikasi Pengenalan Bendera Negara Dunia Berbasis Android
Authors: Bertha Meyke Waty Hutajulu
Published: November 2024

The application "Android-Based World State Flag Recognition" aims to provide users with information about the flags of countries around the world. The app is designed with a great interface and uses image recognition technology to identify flags. Users can explore flags, get brief historical information, and improve their knowledge of the visual aspects of the country's identity. The app uses up-to-date online resources to ensure the accuracy and relevance of flag information. The search feature allows users to quickly find the flag of a particular country. In addition, the app provides an exam mode to test the user's knowledge with a short quiz about flags. With the integration of Android technology, users can access this application easily on various mobile devices. The main goal is to provide an interactive and fun learning experience around the visual identity of the countries of the world.
Diagnosis Gangguan Permasalahan Layanan Telkom menggunakan Metode Dempster Shafer
Authors: Putri Riswana  , Novriyenni Novriyenni  , Siswan Syahputra
Published: November 2024

The increasing complexity of public demand for telecommunication services, particularly internet services, has pushed PT. Telkom, as one of the state-owned enterprises (SOEs), to continuously enhance the quality of its services. One of its flagship products, Indihome, offers faster internet connectivity compared to dial-up services. However, Indihome has been frequently criticized by customers due to service disruptions. This indicates a need for developing effective strategies to address customer complaints. The primary issue faced by the public is the lack of knowledge regarding service disruptions, leading to difficulties in explaining the problem to technicians for repair. This research aims to develop a Telkom service disruption diagnosis system that can assist the public in identifying issues early without direct consultation with an expert. The system is developed using an expert system method, where information about service disruptions is processed to generate accurate diagnoses. With this system, customers can identify the type of disruption and provide clearer information to Telkom technicians. The research findings indicate that the most common disruptions are caused by faulty adapters or modems and disconnected configurations, with a density value of 54.49%. This system is expected to improve Telkom’s public service quality, minimize customer complaints, and expedite the repair process for Indihome services.
Rancang Bangun Alat Pendeteksi dan Pengusir Hama Tanaman Kangkung menggunakan Sensor Pir dan Cairan Peptisida Berbasis Internet Of Things (IOT)
Authors: Putri Mayang Sari  , Novriyenni Novriyenni  , Milli Alfhi Syari
Published: November 2024

This research aims to design and build a tool for detecting and repelling pests on kale plants using Passive Infrared (PIR) sensors and Internet of Things (IoT) based pesticide liquid which can be controlled via the Telegram application. This system works by detecting the movement of pests using a PIR sensor, which then activates the mechanism for automatically spraying pesticide liquid to repel pests. Users can monitor and control this tool in real-time via Telegram, providing flexibility in plant monitoring. Data from sensors is sent to the IoT platform and integrated with Telegram to provide remote notifications and control. Test results show that this tool can detect the presence of pests with high accuracy and is effective in repelling pests from the kale plant area. It is hoped that the implementation of this tool can help farmers maintain the quality and quantity of their kale harvest in a more efficient and environmentally friendly manner.
Penerapan IoT dalam Monitoring dan Pengendalian Kualitas Air
Authors: Muhammad Yusri  , Yani Maulita  , Hermansyah Sembiring
Published: November 2024

The decline in water quality is a serious environmental issue, particularly in urban areas. This research aims to develop an Internet of Things (IoT)-based water quality monitoring system using ESP32, pH, TDS, and turbidity sensors. The system is designed to monitor water quality parameters in real-time and transmit data to a cloud platform for further analysis. The system prototype was tested with water samples from various sources, and the results demonstrated high accuracy, with a maximum deviation of ±0.5% compared to laboratory results. Thus, this system offers an efficient and easy-to-implement solution for continuous water quality monitoring, which can aid in water resource management in urban environments.
Penerapan Metode Apriori Pada Data Penduduk Berdasarkan Tingkat Kesejahteraan (Studi Kasus : Kantor Camat Sirapit)
Authors: Shely Eninta BR PA  , Yani Maulita  , Surya Alamsyah Putra
Published: November 2024

The Indonesian government has implemented various programs to improve public welfare; however, social assistance often misses its target, primarily due to a lack of accurate data. Sirapit Subdistrict, as a government institution, has access to important population data for policy development, particularly in the distribution of aid based on community welfare levels. Factors such as education, age, number of dependents, and income play a significant role in determining an individual's welfare. To address this issue, this study proposes the use of the Apriori method to analyze the factors affecting population welfare. The Apriori method is a data mining algorithm useful for discovering association patterns within a dataset. The study results show that with a support value of 3% and a confidence level of 100%, a pattern was found where residents with a high school education, 1-2 dependents, aged 35-45 years, earning Rp 500,000 - Rp 999,999, and with a low welfare level tend to work as laborers. These findings are expected to serve as a foundation for formulating more targeted policies to improve community welfare in Sirapit Subdistrict.
Rancang Bangun Solar Tracker Otomatis pada Pengisian Energi Panel Surya Berbasis Internet of Things (IoT)
Authors: Firmando Saragih  , Realita Buaton  , Magdalena Simanjuntak
Published: November 2024

This study aims to design and develop an automatic solar tracker system based on the Internet of Things (IoT) to enhance the efficiency of energy collection in solar panels. The system utilizes key components such as the ESP32 microcontroller, LDR sensors, servo motors, and the Blynk platform to monitor performance in real-time. The solar tracker is designed to follow the movement of the sun, ensuring that the solar panels are always positioned optimally to receive sunlight throughout the day. Testing indicates that this system improves solar energy absorption efficiency compared to static solar panel systems. Furthermore, the integration of IoT allows for more effective and efficient remote control and monitoring. Thus, this technology not only offers improvements in energy efficiency but also provides a practical solution for better and more sustainable solar energy management.
Analisis Keamanan Aplikasi Rekam Medis Elektronik Mengunakan Metode Penetration Testing pada UPTD RSD Besemah
Authors: Angga Putrawansyah PB  , Tata Sutabri
Published: November 2024

Security of electronic medical records (EMR) data is very important in maintaining the confidentiality, integrity, and availability of sensitive patient information. This study aims to conduct a security analysis of the EMR application used at UPTD RSD Besemah Pagar Alam City using the Penetration Testing method. This method is carried out to identify, exploit, and provide solutions to potential vulnerabilities in the EMR application system. Penetration Testing is carried out through several stages, namely information collection, scanning, exploitation, and post-exploitation, using tools such as Nmap, and OWASP ZAP. The results of the study showed several vulnerabilities in the application, including SQL Injection, Cross-Site Scripting (XSS), and weaknesses in authentication management that could allow unauthorized access to patient data. In addition, exposure to sensitive data that was not properly protected was also found. Based on the results of this test, several recommendations were made to improve system security, such as updating security patches, implementing encryption on all sensitive data. By implementing the recommended mitigation steps, the security of the EMR system at UPTD RSD Besemah is expected to be significantly improved, so that the risk of data leakage can be minimized. This research provides a real contribution in strengthening the security of electronic medical record applications. and is expected to be a reference in improving security systems in other health care institutions.
Rancangan dan Simulasi Sistem Kendali pada Robot Make Up dengan Pendekatan Human-Robot Interaction
Authors: Rivina Kayla Nazeva  , Tata Sutabri
Published: November 2024

This research focuses on designing and simulating a makeup robot control system with a Human-Robot Interaction (HRI) approach. The main goal is to develop a robot that is not only efficient in applying makeup, but also able to interact directly with users. The design of this robot is designed with attention to anthropomorphism and non-verbal interaction, in order to improve user comfort and experience during the use process. This control system leverages cutting-edge sensor technology, such as facial recognition and expression analysis, to detect user emotions and adjust the robot's response in real-time. The simulation process is carried out using the Robot Operating System (ROS) to develop an algorithm that supports task coordination between robots and humans as well as interactive feedback. The results of the simulation show that the robot is able to recognize the user's emotions and adjust their actions, thus creating a more intuitive and responsive interaction experience. This research has made a significant contribution to the development of robotics technology in the field of beauty, thereby improving the user experience in personal care. The findings also pave the way for further research into more complex human-robot interactions that are responsive to individual needs.
Area sharing among tigers in re-introduced population of Sariska tiger reserve demonstrating space crunch in Human dominated landscape
Authors: Bhardwaj Gobind Sagar , Singh Hemant , Kumar Anand , Neduncheran Gokulakkannan , Yadav Seduram , Sharma Sudarshan
Published: November 2024

We examined the home range dynamics, dispersal patterns, and space-sharing
behaviour of reintroduced tigers and their progenies in different generations in
Sariska Tiger Reserve (STR) from 2018 to 2022. During the study period, the tiger
population increased from four males and eight females to seven males, 11 females,
and three sub-adult females. Mean home ranges were 34 ± 2 km² (SE) for female tigers (n=11) and 95 ± 6 km² for male tigers (n=10), while core activity areas (50% KDE) averaged 6 ± 1 km² for females and 23 ± 3 km² for males. Female home ranges
showed a decreasing trend due to natal dispersal by sub-adults, whereas male home ranges expanded due to territorial consolidation. Instances of territorial overlap, including fatal conflicts, highlighted the competitive pressures in this human dominated landscape. To accommodate the growing tiger population and mitigate human-tiger conflicts, we recommend enhanced monitoring, relocation of villages to create inviolate spaces, and strengthening the protection regime.
El problema de la ideología como dimensión de la conciencia histórica y sus implicaciones en educación
Authors: Contreras Amalfi Emmanuel , Ram´írez Vicente Ernesto
Published: November 2024

Este artículo busca definir el concepto de ideología en el contexto de la enseñanza de la historia y su vinculación con la apropiación de una conciencia histórica. La subjetividad social ha propiciado que lo ideológico sea visto como un ente transformador que constantemente se modifica buscando la interrelación con el mundo, así como las estrategias para la reproducción de nuevos mecanismos culturales y psicológicos que enriquecen sus definiciones. El concepto de ideología ha sufrido constantes cambios a lo largo del tiempo, no en su fondo, pero sí en su forma. Constantemente se le relaciona con ideas, pensamientos, anhelos, sueños o soluciones. Sus implicaciones y la forma en cómo algunos actores lo han entendido, han provocado fricciones en diferentes épocas, pero continuamente está ligado al tiempo histórico. Si bien se ha valido de otras disciplinas para nutrirse, su concepción posee una fuerte carga política y sociológica que lo enriquecen, al grado de tenerlo siempre presente cuando se trata de definir a un determinado grupo, sector o población que piense o actúe diferente, de acuerdo con las normas que establece una comunidad. Se le ha nombrado como aquello con lo cual es posible formarse una idea o argumento que permita establecer una conexión entre acciones encaminadas a transformar comunidades; o, por el contrario, solo como el cuerpo discursivo de ciertos grupos que deben ceñirse a ciertas normas, las cuales les permitan participar de una sociedad que constantemente cambia y se modifica de acuerdo a los intereses de un sistema pedagógico de poder.
Social Media Engagement and Students' Critical Thinking Disposition Influenced by Their Information Skills
Authors: Soriano Hazel , Bastida Garry
Published: November 2024

This study explored the relationship between social media engagement and critical thinking disposition among three hundred thirty-nine master’s students at the Professional School of the University of Mindanao, Matina Campus, focusing on the mediating role of information skills. Using a quantitative, non-experimental design and stratified random sampling, data were collected through supervised face-to-face surveys and Google Forms to ensure accuracy. Data analysis included mean scores to assess the levels of social media engagement, critical thinking disposition, and information skills of the respondents; Pearson Product Moment Correlation was also used to examine relationships among these variables, and path analysis was further used to evaluate the mediating effect of information skills. The findings highlighted three primary dimensions of social media engagement: habitual use, obligation, and knowledge sharing. The results indicated that students exhibited a very high level of habitual use, integrating social media into their routines, a sense of obligation to engage in online interactions and a strong commitment to community participation. They also demonstrated very high knowledge-sharing behaviors, actively exchanging information, skills, and expertise. The analysis showed that students possessed a very high critical thinking disposition, marked by active engagement, cognitive maturity, and a robust capacity for problem-solving and synthesizing information. Moreover, the participants demonstrated strong information skills, including effective abilities in information retrieval, evaluation, and the application of prior knowledge to construct new concepts. Mediation analysis indicated that information skills partially mediated the relationship between social media engagement and critical thinking disposition, underscoring the value of fostering information literacy to enhance critical thinking alongside social media engagement. These findings suggest that information skills play a critical role in linking social media engagement to critical thinking, advocating for educational strategies that develop information literacy as a way to support students’ critical thinking development further.
Persona umana, soggetto e sistemi digitali. Note di lettura sulla persona quale soggetto nel processo di identificazione nell’infosfera
Authors: Maiorano Carmine
Published: November 2024

Los 17 Objetivos de Desarrollo Sostenible (ODS) aprobados en el marco de la Agenda 2030 por la Asamblea General de las Naciones Unidas el 25 de septiembre de 2015, comprenden «las esferas económica, social y ambiental», y vienen teniendo una inevitable incidencia en el ámbito jurídico, del que precisamente no pueden sustraerse ninguna de las esferas mencionadas.

Como prueba de ello, la presente obra centra su objeto de estudio en la respuesta del Derecho privado ante los Objetivos de Desarrollo Sostenible, poniendo el foco de atención en diversos escenarios que le atañen a fin de ofrecer una panorámica global del asunto. Y, como podrá comprobar el lector al introducirse en sus páginas, los trabajos que componen esta obra son muestra de cómo los ODS tienen una importante presencia en materia de protección del menor y gestación subrogada, medidas de apoyo a personas con discapacidad, protección de las personas de avanzada edad, sustituciones hereditarias, derecho al honor ante la inclusión en ficheros de solvencia, responsabilidad civil, protección del nombre comercial, derecho a la vivienda, derecho de contratos y medio ambiente; brindándose algunas soluciones a los problemas que se advierten.
OCORRÊNCIA DE ENDOPARASITAS EM ALFACE (LACTUCA SATIVA L.) COMERCIALIZADA NO BRASIL: UMA REVISÃO DA LITERATURA
Authors: Passos Andressa de Oliveira , Nascimento Ketlen Silva do , Carvalho Roberta Mariana de , Silva Matheus de Araújo da , Santos Leandro Cavalcante
Published: November 2024

Introduction: Vegetables are one of the main means of contamination by endoparasites, both in urban and rural areas, as they represent a serious public health problem due to precarious sanitary conditions. To the detriment of the high incidence of ingestion of raw vegetables (in natura), adequate hygiene is necessary to reduce the risk of exposing a large portion of the population to contamination by pathogenic microorganisms and endoparasites, since the main source of contamination is due to poor sanitary conditions since the propagation medium points to the poor hygienic-sanitary conditions in the irrigation of vegetables, in the planting in contaminated soil and in the inadequate handling of these leafy vegetables. This study aimed to review the literature regarding the occurrence of intestinal parasites in lettuce sold in Brazilian territory, in addition to the most effective methods for the cleaning. A review was carried out bibliographic review, where the qualitative theme "Parasitological analysis of Lactuca Sativa L" was considered, in which a description of the context of studies in scientific databases such as SciELO (Scientific Electronic Library Online), Google Scholar, Central BioMed, and PubMed was considered. (US National Library of medicine). A high positivity of helminths and protozoa was verified in the lettuce samples analyzed in the articles the most frequent being the group of Entamoebas spp., followed by Ascaris, Ancilostomídeo, Gardia lamblia, Strongyloides and Toxocara spp respectively.
IMPACTOS E PATOLOGIAS NEUROLÓGICAS ASSOCIADOS À CONTAMINAÇÃO DOS PEIXES DO RIO MADEIRA POR METAIS PESADOS NA REGIÃO NORTE
Authors: Pinheiro Guilherme Henrique Vieira Priotto , Teixeira Polyana de Vargas
Published: November 2024

This article reviews the impacts and neurological pathologies associated with the contamination of fish from the Madeira River by heavy metals, with an emphasis on mercury. The objective was to analyze how the bioaccumulation and biomagnification of mercury affect human health, especially in terms of neurological toxicity. The methodology consisted of a literature review with analysis of observational, experimental and systematic review studies, considering regional and global data on mercury levels in fish and the effects of this metal on the human body. The results indicate that top-trophic fish, such as catfish, have mercury concentrations that often exceed the safety limits for human consumption, established by ANVISA. Methylmercury, the most toxic form of the metal, interferes with the central nervous system, causing cognitive deficits, motor alterations and psychiatric disorders, such as anxiety and depression. Children are particularly vulnerable due to the impact of mercury on neurological development, resulting in irreversible damage in cases of intrauterine exposure. The study reinforces the need for mitigation strategies, such as continuous monitoring of mercury concentrations, encouraging the consumption of lower trophic level species, and strict regulation of mining activities in the region. It is concluded that mercury contamination in the Madeira River is a critical public health issue, requiring interdisciplinary actions that integrate environmental policies, public health, and education to minimize the impacts on human health and the sustainability of the North region.
O SUICÍDIO COMO FUGA DO EXISTIR: A PORTA DE SAÍDA QUE NINGUÉM MAIS VÊ
Authors: Alves Amanda Fonseca , Pires Daiane Gracieli de Campos Moura , Krausw Rogério
Published: November 2024

Suicide still represents a stigma for society and discussion on the topic tends to be avoided in family and social circles because it is believed that talking about suicide can encourage the practice. Anyone who presents suicidal behavior ends up being the target of insensitive or humiliating comments, including from family members, friends, and health professionals. Given this, one may ask: How to welcome a person in an existential crisis? Who to turn to? What should professional care be like for patients who have attempted suicide?  The present study deals with the need to talk about the topic of suicide, discuss the management of attempted patients and their families, as well as discuss speeches in relation to self-destructive behaviors, and even with regard to recovery after fateful acts.
DA EXECUÇÃO DA PENA A REINSERÇÃO SOCIAL: O IMPACTO DAS APACS NA DIGNIDADE DA PESSOA HUMANA E NA REINCIDÊNCIA
Authors: Sobrinha Maria Zélia De Moura , Cabral Ricardo Da Silva , Silva Vivian Gabriella Barroso da
Published: November 2024

This work aims to investigate the relationship between the execution of the sentence and the rehabilitation of incarcerated individuals, with special attention to the practices and results of APAC (Association for the Protection and Assistance of Convicts). In a context where the Brazilian prison system faces a crisis of effectiveness and respect for human rights, APACs stand out as an innovative alternative that prioritizes humanized treatment and the social reintegration of those recovering.The research will analyze how rehabilitation programs and restorative justice measures implemented in APAC influence recidivism rates, as well as the perception of those recovering about these initiatives. The methodology will include site visits, and professionals who work in APAC, seeking to collect qualitative data that allows understanding the effectiveness of the approaches adopted. By exploring these aspects, the study aims not only to contribute to the academic debate on rehabilitation in the prison system, but also to offer valuable insights for the improvement of penitentiary practices, reaffirming the importance of human dignity in the execution of sentences.
Development and in vitro evaluation of acelofenac mouth dissolving films for reduced analgesic activity
Authors: Chandra Sekhar Naik D  , Bharathi Arigela  , Venkata Suresh Babu Agala  , Cherukuri Vidyulatha Chowdary
Published: November 2024

Background: The design of the current research work was to formulate mouth-dissolving films (MDFs) of aceclofenac (ACF) to improve patient compliance and convenience for older and younger patients, ultimately leading to improved therapeutic outcomes. Method: Evaluations were conducted on film formers such as HPMC and MC and film modifiers such as PEG and starch acting as solubilizing agents. Results: The physicomechanical qualities, in vitro disintegration time, and in vitro dissolving characteristics of the produced MDFs were assessed. Good mechanical qualities, including as tensile strength, folding durability, and percentage elongation, were demonstrated by every created MDF. FTIR, SEM, and X-RD analyses were used to assess MDFs. In contrast to other formulations, MDFs containing F8 provided superior dissolving properties. Conclusion: When pitted against other mixtures, the MDFs with sodium alginate (5%), methylcellulose (5%), and hydroxypropyl methylcellulose (HPMC)(5%) showed superior dissolving capabilities. In contrast to other mixtures, the F8 mixture, including HPMC, sodium alginate, and methylcellulose, demonstrated a complete and accelerated dissolution within 50 seconds. The mechanism behind this release is diffusion, as indicated by the release kinetics data.
Development and evaluation of extended-release vildagliptin tablets using quality by design
Authors: Pund Atul K , Mundada Atishkumar S
Published: November 2024

Background: Extended-release dosage forms are designed to enhance patient compliance and decrease dosing frequency. However, commercially available extended-release tablets are made with synthetic or semisynthetic controlled-release polymer, which causes a ghost pill effect. The ghost pill effect is minimized by using natural polymers which are biodegradable. Aim: This study aimed to create extended-release vildagliptin tablets using natural polymer by employing the quality by Design. Method: The study involved preparing granules of vildagliptin by direct compression using co-processed polymer and other excipients and compressing them into tablets. Results & Discussion: The different micromeritic characteristics of granules were satisfactory for compressing them into tablets. The FTIR, DSC, and XRD analysis indicates no interaction between the drug and the other excipients. The drug release shows that the marketed formulation releases 97% of the drug in 8 hrs., Whereas the developed formulation extends the drug release >= 95% throughout 12hrs. Drug release kinetic study results reveal that the optimized batch obeys first-order kinetics with the Higuchi model. In vivo studies showed steady plasma levels over an extended period, achieving the objective of the current study. The stability study carried out as per the ICH guideline exhibited robustness of the formulation, with the drug content found between 96 % to 99 % at 30°C & 75 %RH and 40°C & 75 %RH. Conclusion: The extended-release formulation of vildagliptin could be successfully formulated using a combination of natural and semisynthetic polymers. This combination could prove to be effective, safe, and well tolerated, enhancing patient adherence and lowering overdose risks, thereby reducing overall diabetic treatment costs.
Autoimmune Hepatitis: Epidemiological and Therapeutic Aspects
Authors: El Malki Omeima Cherkaoui , Errabih I. , Malki M. Cherkaoui , Mechhor S. , Benzzoubeir N. , El Bacha H.
Published: November 2024

Autoimmune hepatitis (AIH) is a heterogeneous group of diseases of unknown cause, characterized by necro-inflammatory hepatocellular lesions, the presence of specific autoantibodies, and high sensitivity to corticosteroids [1]. The clinical presentation of AIH is heterogeneous; nearly one-third of patients are asymptomatic, and in 25% of cases, cirrhosis is present at diagnosis [5]. Clinical manifestations can range from mild or severe symptoms to fulminant liver failure [6], with up to 40% of patients presenting with acute hepatitis [7].

The aim of our study is to describe its epidemiological and therapeutic aspects.
Metodologia detrás del Reciclaje de Material Pet y su Aplicación Industrial
Authors: López Quispe Frans , Choquerive Fernández Jenny Sahara , Herrera Mamani Karem
Published: November 2024

La investigación se enfoca en abordar la problemática de la acumulación de residuos de material PET, aplicando un enfoque científico riguroso. una característica destacada de nuestro enfoque es que diseñamos y construimos internamente los equipos y mecanismos necesarios para llevar a cabo la investigación. Hemos desarrollado una metodología efectiva que no solo resuelve la problemática de los residuos de material PET, sino que también tiene un impacto positivo en la generación de empleo y en la conciencia ambiental y en la comunidad. Por lo que considerando el tipo de investigación abordado corresponde a una investigación aplicada cuya metodología consiste en la secuencia de cada una de las actividades para lograr el producto de limpieza como son los cepillos de limpieza y otros para uso doméstico e industrial
A Importância Da Publicação De Livros E Capítulos De Livros Para O Desenvolvimento Acadêmico:
Authors: Ajudo Sim Educacional Ajudo Sim Educacional , Soares Santos Emerson , Fernandes Vieira de Sousa Maria Gabrielle
Published: November 2024

A publicação de livros e capítulos de livros desempenha um papel crucial no desenvolvimento acadêmico, oferecendo impactos significativos na carreira dos pesquisadores, na relevância científica de suas contribuições e valorização na comunidade acadêmica. Este trabalho pretende geral analisar a importância dessas publicações no contexto acadêmico, investigando como elas influenciam a trajetória profissional dos acadêmicos e o reconhecimento de suas pesquisas. Os objetivos específicos incluem: (1) examinar o papel das publicações em livros na construção de reputações acadêmicas, (2) avaliar a contribuição dessas publicações para a disseminação do conhecimento científico e (3) discutir as políticas institucionais que incentivam ou dificultam essas práticas de publicação. A pergunta de pesquisa que orienta este estudo é: “De que forma a publicação de livros e capítulos de livros contribui para o desenvolvimento acadêmico e para a valorização científica dos pesquisadores?” A metodologia utilizada é de natureza bibliográfica, envolvendo uma revisão crítica da literatura existente sobre o tema, com a análise de estudos e documentos que abordam a relevância das publicações em livros no contexto acadêmico. As conclusões indicam que a publicação de livros e capítulos de livros não apenas enriquece o currículo dos pesquisadores, mas também desempenha um papel vital na difusão do conhecimento, fortalecendo a posição dos autores no campo acadêmico e ampliando sua influência tanto dentro quanto fora das instituições de ensino e pesquisa.