bluuebunny/crossref_metadata_2025 huggingface dataset:
Спосіб прискореного розпізнавання фейкових новин на основі обробки природної мови та видалення голосних літер у словах
Authors: Міщенко Л.Д. , Клименко І.А.
Published: November 2023

Новинні веб-ресурси набувають більшої популярності в наші дні. Такі джерела інформації можуть використовувати довіру аудиторії для маніпулювання фактами та поширення фейків. Таким чином, захист від таких ресурсів є величезною проблемою сьогодення.

Найважливішою частиною будь-якого програмного забезпечення є його швидкість роботи. Фейки з'являються щодня, але сьогодні немає систем автоматичної перевірки фактів. Усі перевірки виконуються журналістами або напів автоматизованими системами, які або специфічні для невеликих завдань, або занадто повільні. Тому ця стаття пропонує спосіб перевірки фактів за допомогою NLP та алгоритму Левенштейна. При цьому, у способі запропоновано прискорений аналіз тексту, роблячи обчислення з мінімальним значенням векторного представлення слів. Це вдалося досягти на рівні лемітизації NLP за рахунок видалення голосних літер зі слів.

У наші часи, тема вивчена досить глибоко. Але більшість досліджень зосереджені на використанні технології NLP для природного аналізу мовлення в конкретних галузях, таких як пошук тексту, боти, розмітка тексту тощо. До того ж, не розглядалося зменшення векторного представлення слів для прискореного аналізу тексту та структурування його токенів.

Основне завдання дослідження полягає в розробці ефективної системи виявлення підробок за допомогою технології Natural Language Processing, яка показує результат доволі швидко за рахунок зменшення довжини слів, а не базуючись на попередньому навчанні системи.

У роботі доведено здатність технології NLP вирішувати завдання перевірки фактів. Проте ще є кілька напрямків для подальшої роботи. Наприклад, використання навчальної нейронної мережі для виявлення найбільш розповсюджених підробок або дослідження виникнення колізій у векторному представленні коротких слів без голосних літер.
МОДЕЛЬ ФУНКЦІОНУВАННЯ АВІАЦІЙНОЇ МАРШРУТНОЇ МЕРЕЖІ
Authors: Доля Віктор , Доля Костянтин , Доля Олена
Published: November 2023

Проблематикою дослідження транспортних систем є вартість такого дослідження. Не можна поставити  експеримент з вивчення змін пасажиропотоків на маршрутах при зміні вартості їздки на самому маршруті або на маршрутах конкурентах, бо такі досліди матимуть свій грошовий вплив на соціум та на транспортні підприємства. Важко проводити й рамках експерименту досліди стану системи при зміні рухомого складу, що також є значно вартісним при наявному науковому інтересі. Значна вартість для фінансового навантаження на транспортні підприємства чи суспільства може значно вплинути на фінансові потоки виробника чи суспільства, а тому такі досліди й висновки за дослідами є проведеними не в повній мірі, що може призводити до невизначеності дій на певних етапах розвитку проекту із експлуатації засобу транспорту на маршруті. Для запобігання виникнення невизначеностей науковцями запропоновано моделювання певних процесів функціонування маршруту. Недоліками такого підходу є його фактична реалізація обмежена імітуванням певного набору факторів. В результаті отримані моделі, значною мірою, розглядають один маршрут та вплив на нього одного чи двох факторів. Запропонована модель транспортної маршрутної мережі враховує взаємопов’язаність при одночасному функціонуванні в мережі багатьох типів  транспорту та їхніх маршрутів. Вперше запропоновано комплексний підхід до вивчення процесів транспорту з урахуванням залежності економічних показників від технічних та навпаки.  Проведено моделювання маршрутної мережі всього регіону України при одночасному функціонуванні водного, повітряного, автомобільного та залізничного транспорту. В результатах проведеної роботи продемонстровано можливості моделі в плануванні функціонування маршруту на прикладі авіаційного транспорту. Визначено, що встановлення залежностей між часом та фінансовими потоками є можливим. Такий підхід надає можливість адмініструвати систему пасажирських перевезень в регіоні при ґрунтовному визначенні наслідків певних дій.
Growth and Physiological Study of Gamma-Induced M4 Black Rice in Stress Condition
Authors: Marâ€™atul Ula Anjakasi , Purwanto Edi , Parjanto -
Published: October 2023

Increased rice productivity can be achieved by producing high-yielding black rice seeds. One of the productions of superior seeds is by mutation induction using gamma-ray irradiation. Black rice has a useful content and will be produced when the plant grows in drought stress. This research aims to study the growth and physiological characteristics of black rice induced by gamma rays of 100 gray and 200 gray, as well as know the effect of drought stress on proline content, to obtain superior black rice seeds. The design was researched in the form of an experiment in the field without using a repeat sample. Black rice was planted as a screen house in Jati Village, Karanganyar. The treatment used 24 plant genotypes, namely, 10 genotypes of 100 gamma-ray irradiation and 2 control genotypes, as well as 10 genotypes of 200 gamma-ray irradiation and 2 genotypes of control. Physiological observation variables were plant height, plant dry weight, root dry weight, proline content, and leaf temperature. The results of the research on plant height growth with gamma ray irradiation resulted in shorter plant postures. Leaf temperature and proline content in plants treated with irradiation and drought stress had higher values than in control plants. M4-By-C and M4-Bt-C lines are prospective to be released as new high-yielding varieties because these lines have short stature and high proline content.
Prediction of Particulate Matter (PM) Concentration of Wooden Houses in the Highlands by Two Statistical Modelling Methods
Authors: Hermawan - , Faqih Nasyiin , Sunaryo - , Svajlenka Jozef
Published: October 2023

Wooden houses can potentially contain high levels of Particulate Matter (PM), which can cause lung disease in residents. Wooden houses have advantages in terms of maintaining the sustainability of building materials. Building design needs to pay attention to PM predictions in residential homes to avoid sick building syndrome. This study aimed to investigate and find predictive models for PM 10, PM2.5, and PM1.0 in wooden houses based on PM content in outdoor spaces. The study used quantitative methods by measuring PM10, PM2.5, and PM1.0 indoors and outdoors in wooden houses in Wonosobo Regency. The number of samples is 100 wooden houses. Measurements were carried out for one full day for each residential house. Data recording is done every 15 minutesâ€”prediction model development using linear regression test and structural equation modeling (SEM). The results obtained three equations based on PM10, PM2.5, and PM1.0. PM10indoor = 53.202 + 0.406 PM10outdoor; PM2.5indoor = 36.865 + 0.373 PM2.5outdoor; PM1.0indoor = 34.143 + 0.194 PM1.0outdoor. The difference with the results from SEM is PM10indoor = 52.89 + 0.41 PM10outdoor, PM2.5indoor = 38.31 + 0.37 PM2.5outdoor, PM1.0indoor = 26.58 + 0.19.PM1.0outdoor. There is no significant difference in the prediction results, so it can be concluded that the Prediction Model is valid. The implications of this research can provide input for improving the standard of PM content in wooden houses. The study results become input for the government in monitoring PM content in simple houses.
Rice Food Security on Small Farmer Households Under Current Mechanization Level in Kampar Region, Indonesia
Authors: Paman Ujang , Bahri Saipul , Pramono Agung
Published: October 2023

Rice is Indonesia's most important staple food and has become a key indicator of the country's food security. In Kampar Region, most small farmers face challenges in meeting their householdsâ€™ rice food security under a relatively limited application of mechanization and small farm scale. This study examines the rice food security status of small farmer households under current levels of mechanization in Kampar Region, Indonesia. Field surveys were conducted in two districts, Bangkinang and Kuok in Kampar region in April-June 2020. A total of 72 small farmers were purposively selected for the sample, of which 36 were farmers from each district. Data were collected through interviews using semi-structured questionnaires and analyzed using descriptive-quantitative techniques. As a result, the current mechanization application was classified as intermediate level. At this level, 1.33 tons of rice were produced, and the cultivated area was 0.37 ha on average. Rice productivity averaged 3.56 tons. ha-1 and varied with various farm sizes. The per capita rice consumption was still high, approximately 114.6 kg per year, and it requires a farm size of 0.054 ha to meet annual rice consumption, or 0.27 ha for households with 5 family members. About 46% of small farmers could not meet their rice needs within one year. They could supply rice for less than 12 months and up to 21 percent of them could supply rice for up to 6 months. Therefore, the level of mechanization must be increased to improve rice productivity.
Assessing the Accuracy of Land Use Classification Using Multi-spectral Camera From LAPAN-A3, Landsat-8 and Sentinel-2 Satellite: A Case Study in Probolinggo-East Java
Authors: Anggari Ega Asti , Herawan Agus , Hakim Patria Rachman , Wahyudiono Agung , Salaswati Sartika , Rachim Elvira , Zylshal Zylshal
Published: October 2023

The LAPAN-A3 is the third microsatellite generation developed by the Research Center for Satellite Technology. The satellite can be used for land classification, agriculture monitoring, drought monitoring, and land use change. This study aims to classify land use and land cover in the research area. The main image used is LAPAN-A3; the compared images are Landsat-8 and Sentinel-2. Three images were taken on the same day and selected on cloud-free terms. The classification process starts with determining the region of interest (ROI) and the class. The classification is divided into six classes: water, forests, rice fields, settlements, open land, and coastal areas. The classification technique uses supervised learning with the maximum likelihood method. This study used Landsat 8 and Sentinel-2 data to compare the results obtained from LAPAN-A3. The accuracy test results for the LAPAN-A3 and Landsat-8 are 84.7042% and 0.783, respectively. While the accuracy test of LAPAN-A3 and Sentinel-2 is 72.2313%, the kappa value is 0.6394. The classification of two comparisons is quite accurate, with an accuracy of more than 70%. The LA3 classification successfully identifies water and coastal areas. The producer and accuracy is substantiated by comparing the results with both Landsat-8 and Sentinel-2 satellite data, which exhibit an accuracy rate exceeding 85%. Finally, LAPAN-A3 has great potential for classifying land use and land cover when compared to Landsat 8 and Sentinel-2 images, but future research should increase the number of datasets and vary the research area to improve the results.
Tsunami Database Development in the Sunda Arc Indonesia to Support Early Warning through Artificial Intelligence Technology
Authors: Wibowo Mardi , Hendriyono Wahyu , Khoirunnisa Hanah , Rachman Reno Arief , Kongko Widjo , Gumbira Gugum , Karima Shofia , Wijayanti Reni , Kustiyanto Eko , Nurwijayanti Amalia , Prabawardani Destianingrum Ratna , Pasma Gumilang Ramadhan
Published: October 2023

The Sunda Arc-Indonesia is very vulnerable to tsunamis. There have been at least 55 tsunamis from 416â€“2018. Tsunami in the Sunda Arc is classified as a near-field tsunami with an arrival time of < 30 minutes after the earthquake. Meanwhile, the BMKG issued a warning within 5 minutes after the earthquake; therefore, speed in giving warnings is very vital. Artificial intelligence is an alternative technology that can quickly predict a tsunami's height and arrival time. For developing this technology, adequate quality and quantity of data and information on tsunamis are needed. Therefore, this study was conducted to build a tsunami database based on the results of simulations and numerical modeling of multiple scenarios from hypothetical and historical earthquake sources. This study used the open-source TUNAMI F1 model. This model simulates the propagation of tsunami waves using a linear equation. This study obtained 465 hypothetical earthquake sources, 534 historical earthquake sources, and 9,990 datasets from tsunami model simulation results. Each dataset contains ten information. Based on the 8.2 magnitude earthquake scenario, the potential tsunami hazard is 3â€“47 m with an estimated arrival time of < 30 minutes. An earthquake < 7 Mw can trigger a tsunami, especially an earthquake that is shallow and close to the coast, even though the tsunami height is < 0.5m. This data will be used to train an artificial intelligence-based tsunami prediction system. The artificial intelligence-based tsunami prediction system is expected to be used to strengthen the Indonesia tsunami early warning system (InaTEWS).
Identification of Proteolytic and Pectinolytic Yeasts from Civet (Paradoxorus hermaphroditus) and Evaluation of their Potential to Modify Coffee Bean Quality
Authors: Muzaifa Murna , Nilda Cut , Rasdiansyah - , Rahmi Faidha
Published: October 2023

Civet coffee is one of the worldâ€™s most popular and expensive coffee types. The problem recently is the difficulty of finding natural civet coffee. The study of artificial civet coffee production using microorganisms to ferment the coffee in recent years has attracted the attention of many researchers. This study aims to characterize and identify yeast from civets and evaluate its potential as a starter in coffee fermentation. Three types of yeast isolated from civet feces have been isolated and characterized. They have varied morphological and biochemical characteristics. Only two yeast isolates Kh1 and Kh2 have the potential to be used as starters in fermentation due to the ability to degrade pectin and protein. The 18S rRNA gene fragment analysis results indicated that the isolates Kh1 and Kh2 were identified as Trichosporon asahii isolate E22922_ITS and Wickerhamomyces anomalus CNRMA10.1139. Applying both isolates as starters in coffee fermentation can improve the quality of coffee flavor and produce a higher score. Fermented coffee using W. anomalus starter provides more flavor, aftertaste, body, and overall advantages, while coffee fermentation using T. asahii isolate gives more value to the aroma. The highest cupping score was obtained for processed coffee using W. anomalus, reaching 84.42. Furthermore, it is necessary to carry out a more complex metabolite analysis to ensure the performance of the two isolates in modifying the chemical composition and taste of coffee.
Quality Parameters of Soil Chemical Physics and Water Ecosystem in Indonesia
Authors: Sambu Abdul Haris , Burhanuddin Burhanuddin , Amruddin -
Published: October 2023

This research aimed to analyze the characteristics of coastal waters as well as the water and soil quality parameters using direct field observations or measurements and laboratory analysis. The results showed that the characteristics of the coastal waters include a 2.5 km coastline length in Tongke-Tongke Village, 1.2 average high tides, and 0-5 beach floor slope elevation degrees. The soil quality parameters include an average soil pH of 5.53, organic matter of 7.83 ppm, nitrogen of 0.19 ppm, phosphorus of 70.56 ppm, potassium of 220.80 ppm, the iron of 0.21 ppm, and soil texture of sandy mud with 45% dominated by watersheds, 40% by tides and waves, and 15% clay. Similarly, the water quality parameters include average water temperature at 29.780, 6.97pH, 30.40 ppt salinity, 4.06 ppm oxygen, 30.60 cm turbidity, and 0.87 ppm ammonia. The measurements and analysis of soil and water quality parameters were dynamic based on seasonal conditions. Therefore, the coastal waters of Tongke-Tongke Village were suitable as a research location due to the diverse flora and fauna. Meanwhile, for tourism, the sedimentation volume from the watershed and the sea should be minimized through tides and waves. Floating net cages and other marine cultivation also need further development as tourist attractions.
Emotion Recognition on Facial Expression and Voice: Analysis and Discussion
Authors: Ng Kok-Why , Lim Yixen , Haw Su-Cheng , Yoong Yih-Jian
Published: October 2023

Emotion plays an important role in our daily lives. Emotional individuals can affect the performance of a company, the harmony of a family, the wellness or growth (physical, mental, and spiritual) of a child etc. It renders a wide range of impacts. The existing works on emotion detection from facial expressions differ from the voice. It is deduced that the facial expression is captured on the face externally, whereas the voice is captured from the air passes through the vocal folds internally. Both captured output models may very much deviate from each other. This paper studies and analyses a person's emotion through dual models -- facial expression and voice separately. The proposed algorithm uses a Convolutional Neural Network (CNN) with 2-dimensions convolutional layers for facial expression and 1-Dimension convolutional layers for voice. Feature extraction is done via face detection, and Mel-Spectrogram extraction is done via voice. The network layers are fine-tuned to achieve the higher performance of the CNN model. The trained CNN models can recognize emotions from the input videos, which may cover single or multiple emotions from the facial expression and voice perspective. The experimented videos are clean from the background music and environment noise and contain only a person's voice. The proposed algorithm achieved an accuracy of 62.9% through facial expression and 82.3% through voice.
Smart Machine Learning-based IoT Health and Cough Monitoring System
Authors: Pang Wai Leong , Chung Gwo Chin , Chan Kah Yoong , Ee Lee It , Roslee Mardeni , Fitrey Edzham , Sim Yee Wai , Prasetio Murman Dwi
Published: October 2023

Coronavirus 2019, more commonly known as COVID-19, was declared a global pandemic by the World Health Organization (WHO) on March 11, 2020. The Î² coronavirus culpable for the disease, SARS CoV-2, is known to be highly contagious with a relatively long incubation period of up to 14 days and is transmittable through small droplets, especially among people who are in close face-to-face contact. The Ministry of Health of Malaysia has recommended five days of quarantine for people who are positive for COVID-19 to avoid further disease transmission. Many resources are used to monitor patients throughout the quarantine period. Therefore, this project would like to present an IoT-enabled wearable device capable of monitoring COVID-19 quarantine patients by utilizing sensors to monitor the necessary health parameters and facilitate home quarantine. The low-cost ESP32 and Arduino Nano 33 BLE Sense microcontrollers are used in this device. They are connected to various IoT sensors to collect temperature, humidity, and sound data. The data obtained will then be uploaded to an IoT platform for doctors to analyze and monitor remotely via the health log throughout the 5-day quarantine period. An alert system is also devised to inform the medical staff if the patient is experiencing abnormal symptoms. The medical staff can then bring their attention to the patient and take the necessary actions to combat COVID-19.
Investigating the Relationship between the Influencing Fire Factors and Forest Fire Occurrence in the Districts of Rompin, Pekan, and Kuantan in the State of Pahang, Malaysia, Using Google Earth Engine
Authors: Chew Yee Jian , Ooi Shih Yin , Pang Ying Han , Lim Zheng You
Published: October 2023

Forest fires pose a significant threat to ecosystems and human livelihoods. Understanding the role of climatic factors in fire occurrence is crucial for effective fire management and prevention. This study analyses the influences of temperature, precipitation, and wind speed on fire incidents in the districts of Rompin, Pekan, and Kuantan in Pahang, Malaysia. The investigation is motivated by newspaper articles dated early March 2021, which report that the fires in these districts were triggered by an extended period of hot and dry conditions, as highlighted by the Director of the Fire and Rescue Department of Pahang, Malaysia. However, no further investigation or detailed discussion has been deliberated. By examining the historical climatic data and fire incidents, this study aims to investigate the relationships between these climatic variables and fire occurrences. The results reveal that higher temperatures and lower precipitation are associated with increased fire susceptibility due to reduced soil moisture. In contrast, wind speed does not appear to impact fire spread significantly. These findings will undoubtedly provide valuable insights into the complex interactions between climatic variables and regional fire incidents, enabling policymakers and fire management authorities to develop targeted fire prevention and mitigation strategies.
Bird Species Recognition System with Fine-Tuned Model
Authors: Ngo Ching-Yang , Chong Lee-Ying , Chong Siew-Chin , Goh Pey-Yun
Published: October 2023

A bird recognition system identifies bird species by combining computer vision and machine learning techniques to categorize different bird species with high accuracy. Moreover, the bird species recognition system represents a significant advance in animal protection and zoological research, especially for the rare and elusive bird species living in the jungle. This work focuses on an image-based system for bird species recognition. In bird species recognition, users input the bird images, and the system uses a deep learning model trained for optimal results in identifying different bird species from the images. We used fine-tuned deep learning models (Inception-V3 and EfficientNet-B4) to evaluate and determine which model can best perform image-based bird species recognition. Several unique datasets were used to evaluate and determine which model was best suited for image-based bird species recognition. These datasets consist of CUB -200-2011, Kaggle-510 bird species, 325 bird species, and a self-generated dataset (100 bird species from Malaysia). When applied to these four different datasets, the experimental results clearly show the advantage of fine-tuning the deep learning models. This study makes an important contribution to ornithology by providing a robust and trustworthy method for identifying and cataloging bird species, especially those that are rarely seen in the wild. Thus, the bird identification system is important for scientific research and animal welfare.
Upcycling the Banana Industry in Ecuador: A Methodology to Estimate Organic Waste Availability and a Catalogue of Potential Biodegradable Products
Authors: JimÃ©nez MoisÃ©s Pool Segarra , Tobes Ibon
Published: October 2023

Ecuador is the leading exporter of bananas globally. This industry generates a large amount of organic waste since the plant is cut down for every crop, but only the fruit bunch is used. These residues can be converted into sustainable environmental products that could replace polluting materials. This investigation presents a GIS-based methodology used to estimate the biomass of the residues of banana agriculture in Ecuador and to determine how much organic waste could be used as raw materials to manufacture new biodegradable products. We estimated that more than forty million metric tons of waste are produced every nine months. Our methodology can be a low-cost quantitative complement to the survey-based estimations conducted by the Ecuadorian government to evaluate banana production. Additionally, our work presents five products that could be manufactured with organic waste, like disposable plates, bioplastics for food utensils, cardboard covers, fibers for hydraulic cement, and wallpaper. Finally, we offer a product catalog developed as a technical guide for future bio-enterprises to elaborate biodegradable products inspired by a circular economy scheme. In light of the estimated amount of banana waste generated in the country, we consider that Ecuador has the potential to develop an industry based on this raw material to generate products such as those proposed in our review, shifting the banana industry to a more sustainable, profitable process, and generating new incomes and sources of employment.
Facial and Body Gesture Recognition for Determining Student Concentration Level
Authors: Chan Xian Yang , Connie Tee , Goh Michael Kah Ong
Published: October 2023

Online learning has gained immense popularity, especially since the COVID-19 pandemic. However, it has also brought its own set of challenges. One of the critical challenges in online learning is the ability to evaluate students' concentration levels during virtual classes. Unlike traditional brick-and-mortar classrooms, teachers do not have the advantage of observing students' body language and facial expressions to determine whether they are paying attention. To address this challenge, this study proposes utilizing facial and body gestures to evaluate students' concentration levels. Common gestures such as yawning, playing with fingers or objects, and looking away from the screen indicate a lack of focus. A dataset containing images of students performing various actions and gestures representing different concentration levels is collected. We propose an enhanced model based on a vision transformer (RViT) to classify the concentration levels. This model incorporates a majority voting feature to maintain real-time prediction accuracy. This feature classifies multiple frames, and the final prediction is based on the majority class. The proposed method yields a promising 92% accuracy while maintaining efficient computational performance. The system provides an unbiased measure for assessing students' concentration levels, which can be useful in educational settings to improve learning outcomes. It enables educators to foster a more engaging and productive virtual classroom environment.
Phishing and Spoofing Websites: Detection and Countermeasures
Authors: Lai Wee Liem , Goh Vik Tor , Yap Timothy Tzen Vun , Ng Hu
Published: October 2023

Website phishing and spoofing occur when unsuspecting users are tricked into interacting with a fraudulent website designed to impersonate a legitimate one. This is done with the intention of stealing login credentials or other personal information. The goal of this project is to develop a multi-layered URL-based malicious website detection system to counter such attacks. The proposed system employs several defence mechanisms, including whitelist filtering, API requests to domain blacklist providers, and string comparison algorithms, to accurately identify and classify websites as either legitimate or malicious. In brief, the first layer provides an initial check by matching the domain of the intended website with a predefined whitelist, while the second layer queries APIVoid (a domain blacklist provider) to conduct additional checks for domain age and reputation. Finally, to prevent typographical errors that could unintentionally redirect users to a malicious website, the last layer compares the domain of the intended website with entries in the whitelist to identify any significant similarities using the Levenshtein distance algorithm. To evaluate the system's performance, a comprehensive testing phase was conducted on a dataset containing 30 randomly selected websites, encompassing various scenarios of malicious and legitimate websites. The results show a high true positive rate of 0.94 and an overall accuracy of 0.93, indicating the system's ability to accurately classify legitimate and malicious websites. The proposed system shows promising results in accurately classifying websites and enhancing user awareness to prevent phishing and spoofing attacks.
A Study on Computational Thinking for Major of Computer Science
Authors: Woo Hyo-joo , Yang Yeong-wook , Jo Jaechoon
Published: October 2023

Recent advances in artificial intelligence and Software have resulted in a paradigm shift in education, necessitating greater changes in educational methods and environments. Many countries worldwide have highlighted computational thinking as the core competence related to software education, leading to an increase in the number of studies focusing on computational thinking in Korea as well. Future demands must be analyzed, and curricula must be improved through in-depth education in computational thinking. Therefore, computational thinking curricula currently offered by universities for students majoring and not majoring in related fields must be reformed for precise educational goals. While research on computational thinking for non-major students has been consistently conducted, curricula for major students are inadequate, and there is a lack of learning opportunities because of the expectation that education on computational thinking for computer science major students will be naturally achieved. Thus, for the purpose of improving the computational thinking education for computer science major students, this study conducted a survey consisting of six questions on "perception of computational thinking" and 11 questions on "need of computational thinking" among 313 students majoring in computer science at a university in Korea. In the study results, 177 students (56.5%) answered "I do not know" for the question "I know what computational thinking is well enough," indicating that computational thinking education must be expanded and considered not only for non-computer science majors but also for computer science major students.
Thermal Comfort in Two Housing Typologies in the Andean Region of Ecuador: Cotopaxi Province
Authors: Rojas MarÃ­a Augusta , Altamirano Rodrigo
Published: October 2023

In Ecuador, rural housing in the Andean region has limitations in its implementation and construction, which lacks technical criteria. This is due to scarce research considering the geographical and climatic conditions and the characteristics of construction materials suitable for this type of housing. This study analyzes the thermal comfort of two cases of study located in the Province of Cotopaxi, Ecuador. This location's altitude exceeds 2,900 MASL, and the average temperature ranges between 12Â°C and -3Â°C. The selected samples are two predominant single-family housing typologies in the region: the first, with a traditional construction system and the second, with a conventional system. This study has three main parts: in-situ data collection with measurement equipment, user interviews, and software simulations to obtain thermal data. The first phase, data collection and interviews, facilitate the analysis of discomfort hours and operating temperature (OT) of the current state of the housing. These first results allowed the second phase of this study, which is simulation. In this part, modifications of materiality and carpentry were proposed. The results show significant improvements in thermal comfort. Housing 1 increases by 14% of OT, and Housing 2 increases by 23% of O. T. Both study cases show a significant reduction in the discomfort hours. This research's main conclusion is that adequate material management through software simulation can contribute to innovative solutions for thermal comfort. The outgoing results of this study can be used in future housing and interventions in the region.
Development of AI Liberal Arts Curriculum for the General Public
Authors: Jang Yunjae , Yoon Ilkyu , Woo Hosung
Published: October 2023

Extending beyond technology, artificial intelligence (AI) is fundamentally changing how people live. It plays a key role in determining the competitiveness of countries and companies and is expected to change the competitive landscape of existing industries fundamentally. The better people understand AI, the better they can utilize it effectively and safely. Therefore, preparing a strategy to ensure that all citizens have access to AI education is important. This study aims to develop an AI liberal arts curriculum to improve the general publicâ€™s ability to utilize and understand AI. Through literature analysis, AI core competencies for the general public were derived. The core competencies are Adaptability, Public Interest Consideration, Creative and Convergent Thinking, Collaboration, Computational Thinking, and Artificial Intelligence Literacy. The AI curriculum was designed considering AI core competencies, and the validity of the experts was verified for AI technology and education experts. We also conducted a comparative analysis of the content and level of AI curriculum for the general public based on the results of word frequency and topic modeling analysis of AI education-related papers collected from the Web of Science. The areas of the AI curriculum consisted of understanding artificial intelligence, application of artificial intelligence, and artificial intelligence. This study is significant in that the topics discovered are based on the frequency of words extracted from many AI education-related documents, and the results of topic modeling are considered in the curriculum development process.
Knowledge Society and Built Spaces in Ecuador and the Italian Veneto: State-of-Art
Authors: Cueva-Ortiz Sonia , OrdÃ³Ã±ez-LeÃ³n Andrea , Tello-Toapanta Zaira
Published: October 2023

Following the international agreements established at the World Summit on the Information Society, organized by the UN and the Digital Agenda for Latin America and the Caribbean, Ecuador, and the Italian Veneto invest resources destined to transform the production matrix towards knowledge. Among the strategies they use are training human talent and constructing spaces that promote innovation and knowledge production. Thus, clusters are formed in different areas, urban districts are formed, or cities based on knowledge, as in the Ecuadorian case. Spaces that change and impact the usual functioning of the city. This article aims to build a state-of-the-art advanced knowledge society focused on the built spaces of Ecuador and Veneto. For this, three case studies are selected: the Yachay Knowledge City, considered an emblematic project, Loja as a canton in which the change in the production matrix induced by the National Development Plan is reviewed; and Verona as a representative case of the Italian Veneto, which houses knowledge clusters and an interpret part of the European corridor. A mixed methodology supported by a qualitative documentation review from the corresponding governments and scientific articles was used. In addition, a bibliometric review is made using 353 articles obtained from the Scopus database. Advances are checked against your regional standards. Built spaces are found, although not always in accordance with the projected results. The advances in both cases are below the regional, Latin, and European average, respectively.
Combination of Liquid Organic and Chemical Fertilizer on Corn and Soybean Using Intercropping in Ultisols
Authors: Hasnelly - , Yasin Syafrimen , Agustian - , Darmawan -
Published: October 2023

Soybean intercropping has been done a lot. Growth rate, dry matter yield, and N, P, and K nutrient uptake are determined by soil fertility conditions as a plant growth medium. One of the ways to support the growth and yield of maize-soybean plants grown in intercropping is to use liquid organic fertilizers made from landfill leachate combined with chemical fertilizers. This study aimed to determine the ability of liquid organic fertilizer to support the growth and yield of corn-soybean plants planted in intercropping in the field in combination with chemical fertilizers. The materials to be used in this study were Ultisol soil, liquid organic fertilizer, Urea (N), T.S.P. (P), KCl (K), dolomite, sweet corn seed var. Nusa 1 and soybean var. Anjosmoro. This study used an experimental method with a randomized block design. The treatments were A = 4% LOF + 0 NPK, B = 4% LOF + 1/5 NPK, C = 4% LOF + 2/5 NPK, D = 4% LOF + 3/5 NPK, E = 4% LOF + 4/5 NPK, and F = 4% LOF + 1 NPK. The results showed that the giving of LOF combined with N.P.K. affected plant height, leaf area, plant stover weight, soybean cob/seed weight, absorption of nutrients N, P, K, metal content of Pb, Cd, Cu and Cr and N.K.L. in corn and soybean crops. The best 4% LOF + 2/5 NPK treatment for soybeans and the best 4% LOF + 3/5 NPK treatment for corn plants.
Application of Noni Fruit (Morinda citrifolia L.) Extract with Cu and Zn Supplemented in the Ration on Performance Chicken Sentul of Phase Developer
Authors: Widjastuti Tuti , Komala Indah , Tanwiriah Wiwin , Nurlaeni Leni
Published: October 2023

Noni fruit is a herbal plant that has the potential to be used as additional feed to replace Antibiotic Growth Promoters (AGP) and contains bioactive compounds that can increase the absorption of nutrients in the digestive tract. The study aims to determine the effect of adding noni extract with Cu and Zn supplemented in the ration on the performance of Sentul chicken in the developer phase. The research used an experiment method, using 40 female Sentul chickens aged 16 weeks and maintained until 24 weeks of age. The study used an experimental method with an experimental design used was a Completely Randomized Design (CRD). The treatments consisted of P0 = basal ration, P1= basal ration + 0.3%/kg noni fruit extract supplemented with Cu and Zn (ENFm), P2 basal ration + 0.6% /kg ENFm, P3 = basal ration + 0.9% / kg ENFm, P4 = basal ration + 1.2%/kg ENFm. Each treatment was repeated four times, and each repetition consisted of 2 Sentul chickens. The results showed that the P3 (0.9 ENFm) treatment had an influence on body weight gain and feed conversion but did not affect feed consumption and age of sexual maturity, and the addition of 0.6% (P2) level in the ratio could be the best performance on early production of chicken Sentul. This shows that ENFm products can be used as feed additives in Sentul chickens to replace an Antibiotic Growth Promoter (AGP) role.
Performance Analysis of Environmental Monitoring System (EMS) towards POLMEDs Green Campus
Authors: Amelia Afritha , Sundawa Bakti Viyata , Yusoff Marina , Mohamad Zain Jasni Bt , Azis Abdul , Suprianto - , Roslina Roslina , Pribadi Banu Afwan
Published: October 2023

UI GreenMetric is a guide for higher education institutions to raise awareness of sustainable development, sustainable research, building a green campus, and social influence. There are six assessment categories in UI GreenMetric. One of them is energy and climate change. The assessment point in energy and climate change is the implementation of smart buildings within the campus area. There is often pollution on campus. The campus still uses groundwater for daily sanitation; workshops' waste is discharged directly into the ground without any sewage treatment process; many private vehicles are in the campus area; and 30% of campus land has been used as vehicle parking lots. It is necessary to carry out a monitoring process to determine the concentration of CO2 in the air. For this reason, further study is needed on smart features that will be built to support UI GreenMetric concepts. It is expected to help monitor water, soil, and air environmental parameters. This smart would later be monitored remotely using the Internet of Things (IoT) method. The maximum result of air temperature is 32,3Â°C, the maximum level of CO2 is 526,8 ppm, the minimum humidity level is 47,2%RH, and the maximum level of PAR is 589,3 Âµ*mol/m2*s. The noise maximum level is 84 dB, and pH water maximum is 7,01. The density of students also caused an increase in some parameters. POLMED must concentrate on environmental sustainability. Therefore, we should pay for internal recycling water treatment, reducing the use of private vehicles, and expanding green open space.
Estágio Supervisionado na Educação de Jovens e Adultos
Authors: Silva Ketiuce Ferreira
Published: November 2023

Este texto consiste no relato de uma experiência com estudantes de Pedagogia de uma universidade pública do Estado de Minas Gerais. O trabalho foi realizado ao longo do primeiro semestre do ano de 2023, no componente curricular de Estágio Supervisionado na Educação de Jovens e Adultos (EJA). Os primeiros contatos dos estudantes com o campo de estágio são essenciais para evidenciar o potencial formativo das escolas para os graduandos, bem como para identificar desafios os quais a universidade pode ajudar a superar. O fato de a maior parte dos estudantes terem vivenciado o estágio na mesma escola, possibilitou desenvolver um trabalho que, por meio da parceria entre ensino e extensão, se concentrou em contribuir para a alfabetização de adultos, explorando a arte e as tecnologias digitais. Desta experiência destaca-se a aproximação entre escola e universidade como imperativo possível de diversas maneiras, entre elas o Estágio Supervisionado. Ambas as instituições aprendem e ensinam mutuamente nesta relação a qual pode ser sistematicamente enriquecida quando ensino, pesquisa e extensão partilham deste princípio. A relação entre arte e tecnologia tem muito a contribuir para o processo alfabetizador na EJA, uma vez que potencializa aspectos como expressão criativa e leitura crítica de mundo.
Implicancias sociales del uso de metáforas bélicas para definir la pandemia del COVID-19
Authors: Acosta María Lorena
Published: October 2023

La excepcionalidad de la pandemia del COVID-19, acontecimiento de escala planetaria, movilizó al mundo en las dimensiones biológica, económica, política, social y simbólica. Se tornó disparador de diversos ensayos, reflexiones, estudios e investigaciones con perspectivas diferentes, aplicables a diversos ámbitos. Se describirá una selección pertinente de abordajes realizados hasta el presente, para dar cuenta de las miradas realizadas alrededor del tema de investigación que el presente trabajo hace referencia. Por un lado, Gené y Perelmiter (2021) apelan a la memoria popular para hallar en las experiencias pandémicas del pasado, respuestas tranquilizadoras del presente. En sintonía, Sontag (2003) ensaya acerca de lo que se esconde detrás del uso de las metáforas bélicas para definir a las enfermedades, el estigma, la culpa y la muerte social. Svampa (2020) destaca como la pandemia en tanto situación extraordinaria, es vista a través de las metáforas bélicas como una suerte de guerra instalada en las sociedades. Para Ibarretxe (2020) la metáfora bélica no tendrá las mismas connotaciones en un país belicista que en uno pacifista. Por otro lado, Harari (2021) considera que la ausencia de un plan global para enfrentar la crisis sanitaria derivó en una batalla simbólica por el poder que vislumbró las desigualdades sociales.
Reseña del libro de Daniel Del Percio, La historia y un instante
Authors: Carbone Mencucci Daniela
Published: October 2023

Daniel Del Percio en su primera novela, La historia y un instante, nos invita a emprender un viaje por una ucronía que inicia con la modificación de un hecho histórico es decir con un desenlace diferente de la Guerra de Malvinas. Desde una estética del extrañamiento del presente y por medio del despliegue de estrategias

creativas logra interpelar al lector enfrentándolo a reflexionar sobre diversas esferas de la vida.
Los intereses sociales de las juventudes como fuente de motivación en la elección de una carrera universitaria
Authors: Suarez Agustina
Published: October 2023

El presente ensayo es una reflexión en torno a las juventudes, sus vínculos intra-generacionales y su percepción sobre la sociedad en la que viven, que surge como aspecto novedoso en una Tesis de Maestría en Currículum, defendida en el año 2022, en la Facultad de Ciencias Sociales de la Universidad Nacional de Lomas de Zamora (Buenos Aires- Argentina). Ha sido éste un estudio cualitativo y descriptivo, en el que se estudió el lugar que ocupa la formación para el ejercicio del rol del técnico en la Tecnicatura en Minoridad y Familia de dicha casa de estudios. Para ello se realizó un análisis de documentos y se relevaron las opiniones de los y las estudiantes. Reflexionar, entre otros ejes, sobre los diferentes aspectos vinculados a las motivaciones para la elección de la carrera, ha permitido identificar tres dimensiones: la experiencia personal como fuente de motivación, la promoción de la autonomía y el empoderamiento y la ayuda a personas en situación de vulnerabilidad. Resulta evidente que los intereses sociales de los y las jóvenes estudiantes, además de los personales, condicionan las elecciones en torno a una carrera y futura profesión. La expectativa de trabajar de lo que eligieron estudiar se asocia con el mejoramiento de la calidad de vida y la promoción de un cambio en la sociedad.
“Now I Have My Own Key”: The Impact of Housing Stability on Recovery and Recidivism Reduction Using a Recovery Capital Framework
Authors: Howard Heather , Skinner-Osei Precious , Mitchell Christina , Cadavid Erica , Hulick John
Published: November 2023

The National Institute on Drug Abuse (2020) reported 85% of the U.S. prison population had a substance use disorder (SUD) or was incarcerated for drug-use crimes. Applying Comprehensive Opioid, Stimulant, Substance Use Program funds, the Palm Beach County Office of Behavioral Health, and SUDs developed a comprehensive person-centered, recovery-oriented approach. This mixed-methods study (N= 36) examined how social capital, housing stability, and recovery-oriented care impacted personal capital, rearrest, and housing stability in criminal-justice-involved individuals with SUDs. Of the 36 participants, 86% (n= 31) did not have a rearrest, and 70% of participants were then employed shortly after their Comprehensive Opioid Stimulant Substance Use Program enrollment. Three major themes emerged from the interviews (n= 8): beginning recovery, peer navigation, and housing stability. This study demonstrates that housing stability, peer-support specialists, and care coordination are vital to increase recovery capital, aiding recovery, and reducing recidivism.
Pengaruh Penggunaan Cacing Tanah dan Kotoran Sapi pada Proses Pengomposan Limbah Organik Pasar terhadap Kualitas Kompos
Authors: Yudatama Rizki Beril , Hermiyanto Bambang
Published: November 2023

Garbage is material that is not used or remains from activities carried out by humans, generally in the form of solids, and this is also called waste. One of the most waste-producing environments is the market, especially the traditional market. This market waste is dominated by the type of organic waste. The solution to reducing market waste can be done by managing organic waste into compost. The composting process is closely related to decomposers, examples of decomposers are earthworms, bacteria, and fungi. This study aims to determine the effect of the interaction between the treatment of earthworms and cow manure on compost quality. The study used a factorial completely randomized design (CRD) with 2 factors and was repeated 3 times. The first factor was the number of earthworms consisting of no earthworms (C0), using 60 earthworms (C1), and using 120 earthworms (C2). The second factor was the amount of cow manure which consisted of no cow manure (K0), with 22.5% cow manure (K1) and 45% cow manure (K2). The variables observed included the quality of the compost by looking at the color, smell, texture, temperature, C-organic, N-total, P2O5, K2O, and C/N ratio. Data were analyzed by Analysis of Variety. If it is significantly different, it will be tested further with Duncan's 5% Multiple Range Test. The combination of C0K0 treatment had the highest C-organic, N-total, P2O5, and K2O values. The C0K1 combination has the highest C/N ratio..