bluuebunny/crossref_metadata_2025 huggingface dataset:
The Determination of Mangrove Restoration Area using Water Quality and Substrate Parameters
Authors: Amalo Luisa Febrina , Putra Marfian Dwidima , Handayani Luluk Dwi Wulan , Sumpeno Sumpeno , Luturmas Ruben , Suryadi Suryadi
Published: January 2025

Mangrove plants have a substantial impact on ecosystems, both ecologically and economically. Planting mangroves is currently considered an effective method for overcoming the degradation of mangrove forests, particularly in Sebaru Kecil Island, which has limited research. Besides natural forces contributing to the success of mangrove plantations, ecological parameters are also crucial to assessing mangrove restoration areas. The parameters include physical-chemical water quality, plankton and benthos, and substrate quality. This measurement is carried out to evaluate the level of water fertility and soil conditions at the location that will be used for mangrove planting. This research aimed to determine the feasibility of the area for mangrove restoration based on physical, biological, and chemical water quality conditions, and to provide recommendations for planting mangroves suitable for Sebaru Kecil Island based on its substrate condition. The results showed that the physical-chemical parameters of the seawater at the mangrove planting locations met the quality standards, except for nitrate. The condition of plankton and benthos showed a high diversity index, with no dominant species. Based on the substrate results and physical condition of Sebaru Kecil Island, the location is suitable for mangrove planting, and we recommend planting Rhizophora stylosa in the mangrove restoration area.
Implementation of Li-Fi Technology in Smart Home Systems: Development and Analysis of a Prototype for Enhanced Wireless Communication
Authors: Fadhel Athab Ali
Published: January 2025

Exploring innovative communication technologies has been a pressing need due to the need for reliable and efficient data transmission in networks such as industrial automation, IoT devices, and healthcare systems. This research investigates a wireless communication system that uses visible light, called microcontrollers, with Li-Fi technology instead of radio waves to enhance data accuracy and resilience. Unlike traditional legacy systems, Li-Fi technology provides a buffer against electromagnetic interference, making it a promising alternative for smart home automation. This research includes a developed prototype that uses visible light communication (VLC) through LEDs and an LDR receiver, controlled by an Arduino microcontroller. The KNX standard was adopted in building the proposed system, which has been widely adopted in building automation. The results showed that the Li-Fi-based system improves the accuracy of data transmission as well as the data transmission power. This research, along with other researches on Li-Fi, contributes by demonstrating its applicability in smart home environments, and thus this technology will revolutionize wireless communications across various fields.
Enhancing Efficiency and Sustainability in the Electric Power Industry with (IoT)
Authors: M. Abd-alrasool Fatima
Published: January 2025

The Internet of Things (IoT) has brought about a new age in the electric power sector, allowing better processing, safety, and price management. IoT systems work via the supply chain to transport, check, and share the collected data. They get the data that will help to make the right decisions from different sources, and then they further process and interpret it. By this, the decision-making skills are improved. Internet of Things is about collecting, organizing, and exchanging data in different locations and across platforms. It's a technology that shortcuts our metros but by real-iconic monitoring and self-detecting we are sure to receive power on time and when faults occur it addresses them immediately. IoT setup has given rise to Smart Grids, which are hi-tech, self-regulated communication networks employing processes like artificial intelligence and deep learning that enable quality, energy, usage regulation and real-time grid repairs and security.
Arabic word Prediction For Next and Previous Word Using Bert & CBOW Algorithms
Authors: Ali Taher Hawraa
Published: January 2025

One application of Natural Language Processing (NLP) is Next Word Prediction, also known as Language Modeling. This process involves predicting the most likely word to follow in a given sentence based on the preceding context. It has numerous widely used applications, like auto-correct, which is mostly used in emails and messages. It can also be used in Microsoft Word or Google searches to predict the next word based on past searches or global queries. The goal of Natural Language Generation (NLG) is to create language that is human-interpretable and natural. Users find text generation, and next-word prediction in particular, convenient as it makes typing faster and error-free. Consequently, an essential analysis topic for all languages is a personalized text prediction system. This paper suggests a novel approach for predicting the following word in a Arabic sentence. It is possible to minimize the total number of keystrokes a user makes by anticipating the next word in a sequence. In this work, Bert algorithm  and Continuous Bag of Words(CBOW)  are proposed to predict the next word in Arabic language, and predict the previous word. The Bert Algorithm is achieved the best accuracy , 90% for next word prediction,  and 80% for previous word prediction . And, Continuous Bag of Words(CBOW)  is achieved the best accuracy , 100% for next word prediction,  and 100% for previous word prediction.
Optimized Modelling and Evaluation of Wireless Sensor Networks for Intrusion Detection in Military Applications
Authors: Mohammed Fayadh Sabah
Published: January 2025

Wireless sensor networking is a promising technology with a wide range of applications, including health care and defense. The security of Wireless Sensor Networks (WSNs) is a major concern, particularly for applications where confidentiality is of the utmost importance, because, despite their attractive features (e.g., low installation cost, unattended network operation), these networks do not have a physical line of defense. So, to run WSNs securely, it's important to identify breaches before attackers damage the network or the data sink or base station, which are the nodes that collect and store information.  Enhancing the intrusion detection system was suggested in this study using a recurrent Convolutional Neural Network (RCNN) optimised using Particle Swarm Optimisation (PSO) and Coral Reef Optimisation (CRO). Successful intrusion detection has been achieved using the suggested method. When combined, PSO and CRO greatly enhance the efficacy and precision of threat identification. Everyone provides a novel and very effective method to resolve the vulnerabilities that endanger critical infrastructure and safeguard WSNs against them.
Researching Issues in Information Security in Internet of Things (IoT) Systems: Challenge & Solution
Authors: Jawad Khadim Alsayyad Mohammed
Published: January 2025

As Internet of Things (IoT) technologies and applications are widely used and spread across various fields such as industry, agriculture, transportation, health, etc., it has become necessary to continuously research and develop information security as technologies and applications evolve. Organizations need to focus their efforts on system security. Any security vulnerability can lead to system failure or cyber-attacks, which can have a wide-ranging impact. IoT security is a protection strategy and defense mechanism that safeguards against the possibility of cyber-attacks that specifically target physically connected IoT devices. IoT security teams are currently dealing with increasing difficulties, such as inventories, operations, diversity, ownership, data volume, and threats. This review examines the research related to security and IoT with a focus on the current situation, applications, issues, and future potential. IoT network security has received increasing attention from multidisciplinary and geographically dispersed researchers in recent years. Data integrity, confidentiality, authentication, and authorization must be ensured due to the large amount of data flowing through network devices. However, the field of IoT security still has a lot of room for growth.
In this paper, we will review the most important approaches for protecting Internet of Things data, the challenges, and some actual attacks.
A Hybrid Approach based on Machine Learning Classifiers and Harris Hawk Optimization for Parkinson Disease Classification
Authors: M Abdulkhudhur Shurooq , kamil Hadi Nagham
Published: January 2025

The rapid advancements in artificial intelligence (AI) and data analytics have created significant opportunities in fields such as healthcare and intelligent transportation. As the volume of complex data continues to grow, there is an increasing demand for analytical models capable of extracting meaningful patterns and generating accurate predictions. This study focuses on enhancing Parkinson’s disease (PD) detection by using the Harris Hawk Optimization (HHO) for feature selection to improve classifier performance on the UCI Parkinson's disease dataset. We evaluated four classifiers: Decision Tree (DT), K-Nearest Neighbors (KNN), Support Vector Machine (SVM), and Random Forest (RF), under two scenarios: without feature selection and with HHO-based feature selection. The results reveal substantial performance improvements with HHO, with RF achieving the highest accuracy of 98.33%. Comparisons with recent studies highlight the effectiveness of our approach, establishing it as a new benchmark in PD detection accuracy. This research underscores the essential role of optimized feature selection in enhancing classifier accuracy and reliability, especially for early diagnosis through voice-based data.
CONOCIMIENTO SOBRE LAS VÍAS DE TRANSMISIÓN DEL VIH EN ADOLESCENTES ESCOLARES DEL ÁREA METROPOLITANA DE MONTERREY, MÉXICO
Authors: Márquez-Vega María Aracely , Vera-Alanis Lorena Yuliana
Published: January 2025

Objetivo: El estudio tuvo dos objetivos: analizar por sexo y edad el nivel de conocimiento sobre las vías de transmisión del VIH en adolescentes escolares e identificar la relación entre la edad y el sexo con el conocimiento sobre las vías de transmisión del VIH en adolescentes escolares. Material y Método: Estudio descriptivo-correlacional realizado entre agosto y noviembre del 2022 con 487 estudiantes de 12 a 19 años, en Monterrey, Nuevo León, México. Se empleó un muestreo unietápico por conglomerados. Para la recolección de datos se aplicó una cédula anónima de datos personales y se usó la dimensión de VIH-Sida-ITS de la Escala de Conocimientos, Actitudes y Prácticas en Salud Sexual y Reproductiva, que contiene 51 reactivos, de los cuales se seleccionaron ocho relacionados con el VIH. En una prueba piloto, la escala mostró un alfa de Cronbach de 0,79. Las variables consideradas fueron sexo, edad y nivel de conocimiento sobre vías de transmisión del VIH. Para el análisis, se utilizaron la prueba Chi cuadrada y la prueba de Pearson, con un nivel de significancia de 0,05. Resultados: Se encontraron diferencias estadísticas por sexo (?2= 52,91, p= 0,016) y por edad (r= 0,402, p= 0,001) en donde las mujeres de menor edad fueron las que tenían menos conocimiento sobre las vías de transmisión del VIH. La mayoría de los participantes reconocen únicamente la transmisión sexual del VIH. Conclusiones: Ser mujer y tener menor edad está relacionado con un bajo conocimiento sobre las diferentes vías de transmisión del VIH.
CHANGES IN LEAST LIMITING WATER RANGE UNDER DIFFERENT TILLAGE SYSTEMS AND TRAFFIC INTENSITIES IN A SUBHUMID PAMPEAN REGION
Authors: Vallejos Adrián , Iglesias Julio O. , Galantini Juan A. , Imhoff Silvia
Published: January 2025

Soil management practices can disrupt soil structure, affecting productivity through changes in water and oxygen availability, and mechanical impedance. These variables can be affected by machinery traffic depending on the management practice used. This research aimed to quantify changes in the least limiting water range (LLWR) in the surface soil layer under varying traffic intensities in both no-till (NT) and conventional tillage (CT) systems. The treatments applied to each system were: control without any traffic (0P), one tractor pass (1P), and five tractor passes (5P). To determine the LLWR and available water (AW), the following variables were measured: soil bulk density (BD), soil water retention curve (SWRC) and soil penetration resistance (SRP). Transit treatments gave different LLWR results depending on tillage system. The changes in AW were less sensitive than the LLWR values. The only treatment that did not reach the critical bulk density (BDc), where the LLWR is zero, was the 0P treatment. Both the NT and CT 1P treatments reached the same BDc of 1.39 m3 m-3. However, in the 5P treatment, the BDc was 1.33 m3 m-3 for CT and 1.41 m3 m-3 for NT, respectively. The LLWR showed a different response of its structural condition to the tillage system and traffic intensity in both tillage systems. These results provide evidence of a greater risk of soil degradation under CT than under NT management. Regardless of soil management and machinery traffic treatments, soil penetration resistance was the attribute that had more influence on the LLWR.
La configuración emocional del heroísmo portaliano: un análisis del funeral de Diego Portales desde la historia de las emociones
Authors: Gutierrez Joaquin , Fabregat Peredo Mario
Published: January 2025

Este estudio se adentra en la construcción heroica de Diego Portales, centrando su atención en el asesinato del ministro en 1837 y cómo este evento catalizó la formación de un relato emocional y narrativo. Utilizando el periódico El Araucano como fuente primaria, se investiga cómo el gobierno manipuló las emociones y tópicos en la prensa para instaurar un régimen emocional. Asimismo, se examina el papel de las ceremonias fúnebres y las exequias públicas de Portales, destacando cómo estos eventos actuaron como un escenario para la representación de las emociones y narrativas oficiales, consolidando así la memoria portaliana en el imaginario colectivo chileno.
Thinking on a Slant: Digital Chiasmus and Roque Raquel Salas Rivera's antes que isla es volcán
Authors: Foote Rebecca
Published: January 2025

Abstract: This article discusses the first phase of Digital Chiasmus, a project that seeks to determine the prevalence of the poetic device chiasmus in contemporary Latinx poetry. Phase 1 focuses on Roque Raquel Salas Rivera's recent poetry collection, antes que isla es volcán/before island is volcano (2022) and uses a Python script to identify instances of chiasmus in the text. While scholarship on Latinx poetry tends to interpret poetry for its narratives and politics, this digital project attends primarily to poetic form. Phase 1 demonstrates how the politics of the poetry collection's intermingling of gender transition with Puerto Rican independence efforts remains inextricable from its chiastic aesthetics. As a case study, Phase 1 tests close reading and digital text analysis against each other to determine the efficacy of this digital method for analyzing chiasmus in poetry. The essay contends that the Python script is a viable way forward for future iterations of the project that incorporate a large corpus of Latinx poetic texts. Ultimately, the project begins to articulate a poetics of the "X" of "Latinx" through chiasmus, which, in turn, bends and shifts digital tools and methods along the slant of the chiastic "X."
Mapping Mexican Food History in New York: Snapshot from the Field
Authors: Flores Lori A. , Amador Fernando , Carrillo Ximena López
Published: January 2025

Abstract: This snapshot from the field introduces the ArcGIS website The Mexican Restaurants of New York City, built in the middle of the COVID-19 pandemic's first year. Having gathered data in the form of historical and contemporary restaurant reviews, newspaper and magazine advertisements, city restaurant permit records, photographs, and menus, this digital history project offers a variety of maps that illustrate the extent to which Mexican cuisine established a foothold in New York City's landscape. Our goals (for ourselves and website users) were to understand when and how Mexican food proliferated from a few restaurants to a great diversity of food businesses (including mobile and street vendors) across the city's boroughs; and to communicate the disturbing juxtaposition of a national embrace of Mexican cuisine but concurrent anti-Mexican xenophobia and monetary devaluation of Mexican food labor. Our StoryMap demonstrates ways to hold, albeit in tension, humanistic research questions and quantitative data. By reminding users of the marginalized or invisible populations who make the Mexican cuisine we heartily enjoy, our StoryMap emphasizes that the histories of New York City and the US are deeply rooted in a long tradition of Latinx creativity, migration, and entrepreneurship. Over time, they have created new culinary spaces despite wage depression and exploitation, neoliberal policies, and negative racializations of Mexican-origin people in the United States.
Radiología Intervencionista
Authors: Carmen Peñas Palomo  , Elvira Andrade Asanza  , Enrique Juez Nuñez
Published: January 2025

El número de procedimientos que se realizan en las salas de radiología intervencionista aumenta constantemente, lo que hace que en muchos hospitales se haya destinado a diario varios anestesiólogos para sedar o anestesiar a estos pacientes. Nos encontramos bajo el marco de la anestesia fuera del área quirúrgica, donde no se podrá contar de manera inmediata ni con todo el arsenal de medios de los que allí dispone, ni con la ayuda de otros compañeros; por este motivo estas salas habrán de estar dotadas con todo lo necesario para hacer frente a las contingencias que pudieran presentarse, estando a la cabeza de ellas la ventilación y la intubación difícil.
Anestesia en hemipelvectomía y reconstrucción con prótesis de cadera: A propósito de un caso clínico.
Authors: Marta Gimenez Garcia  , Javier Feito Sancho  , Laura Soriano Melero
Published: January 2025

Gracias a los avances en medicina, cada vez nos encontramos ante cirugías más novedosas, que suponen un reto en todos los aspectos. Ante esta situación, presentamos un caso clínico de una cirugía infrecuente a la par que compleja, como es la hemipelvectomía. Nuestro objetivo es aportar una visión global y crítica sobre el manejo de estos pacientes, tanto intraoperatoriamente como en el postoperatorio, exponiendo nuestro caso clínico y valorando si el manejo fue correcto o no tras haber revisado la bibliografía disponible en referencia e ello.
A Pragmatic Analysis of Persuasive Arguments in the 2011 - 2020 US Presidential Campaign Speeches
Authors: Najim Abd Aliwie Abdullah
Published: January 2025

This paper aims to pragmatically analyze argumentation and persuasion techniques in a number of speeches delivered during the US presidential campaign between 2011 to 2020. The political system in the United States provides a context for shaping public opinion, and politicians must use language consciously in order to manipulate the voters and gain the necessary results. The objective of the current paper is to examine argumentation and persuasion in light of the semantic-pragmatic approach and understand the manner in which they are encompassed in political dialogue. The Eclectic Model, a quantitative approach used for the measurement of language related to elections and used to analyze political speeches – was used to conduct the analysis. Speech samples were derived from speeches, debates, and other campaign-related documents that were retrieved from publicly accessible media or online search engines between 2011 to 2020. The findings show that question deviation strongly correlates with word choice variation and that the reaction to it has emotional characteristics like laughter, applause, and crosstalk. Moreover, the research revealed that more powerful people participated more often and elicited affect-laden responses. The present findings may prove useful to scholars who focus on political language; hence, the research may be useful in understanding language manipulation in political situations.
A Phonetic Description of Arabic Spoken by Indian Workers in Jordan
Authors: Khalifeh Khamaiseh Sora , Bader Yousef F.
Published: January 2025

This study aims to provide an analysis of the pronunciation of Jordanian Arabic sounds when uttered by some Indian workers in Jordan. The sample consisted of ten participants working at Al-Hassan Industrial City in Irbid, north Jordan. Information was collected via individual conversations during which the participants were shown pictures and then asked several questions about their contents, so that the number of words produced by each participant was fifty at least. The information was analyzed by transcribing the conversations, comparing the pronunciation of each sound with the original pronunciation in Jordanian Arabic, and then noting the similarities and differences. The study found that Indian Jordanian Arabic shares sounds with Jordanian Arabic and these are: (b, t, d, k, f, z, ʃ, d͡ʒ, n, r, and w), in addition to the identical sounds (ʔ, s, h, m, l, and j). These sounds are originally present in the phonological system of their mother tongue, and this helped the participants to pronounce them correctly in many cases. The study also found that there were at least 11 sounds that the participants could not pronounce correctly and these are: (ʕ, ħ, q, x, ɣ, tˤ, dˤ, sˤ, θ, ð, and ðˤ). The participants managed their pronunciation of these consonants by changing articulation point, articulation manner, deleting some difficult sounds, or replacing them with sounds from their mother tongue, creating an interlanguage peculiar to Indian workers. Regarding vowels, the Indian interlanguage was characterized by using the schwa instead of the vowel /a/ and the diphthong /aj/ instead of /e:/. The study recommends conducting research on other aspects of the Indian Jordanian interlanguage such as syntax, morphology and semantics.
Exploring interpersonal functions of negation in linguistics research article introductions
Authors: Chen Zhemin , Bin Hamat Afendi , Abdul Rahman Anis Nadiah Binti Che
Published: January 2025

Researchers often aim to capture readers’ attention through the development of introductions that are both engaging and appealing. While prior studies have examined the rhetorical characteristics of introductions in depth, little attention has been drawn to the interpersonal role of negation in introductions. This study seeks to remedy the oversight by exploring how negation functions as an interpersonal resource in research introductions. The study analyzed 70 research article introductions from prestigious linguistics journals (2017-2023). Using an interpersonal model of negation as our analytical framework, we identified negative markers and coded their interpersonal functions. It is found that “not”, “no”, “little”, and “few” are the most frequently used negative markers in introductions. Additionally, in terms of functional uses, expert writers tend to employ interactive negations, with a relatively higher frequency of negative markers that serve as hedging (within the interactional dimension) and as markers of consequence (within the interactive dimension) in their introductions. The analysis also reveals that the choice of negative markers in introductions is a sophisticated process governed by both the intended strength of negation and specific interpersonal purposes. The implications of these findings are further explored in relation to English for Academic Purposes writing research and pedagogy.
Knowledge, attitude and practice towards infection control measures among healthcare workers at King Fahad Hospital, Al-Baha, Saudi Arabia
Authors: Abdulrahman Abdullah Alghamdi  , Sharifah Saeed Alzahrani  , Asayel Ahmed Alomri  , Majed Mansour Alzahrani  , Tamer Bedir Ata  , Meshal Saeed Alzahrani  , Rabab Morsy Abouhussien
Published: January 2025

Hospital-acquired infections (HAIs) have been identified as a contributing factor to prolonged hospitalization, increased mortality rates, and increased healthcare expenditures. Adherence to standard precautions by healthcare workers (HCWs) has been acknowledged as an effective strategy for the prevention and management of healthcare-associated infections. These measures are designed to protect not only the patient, but also the HCWs and the surrounding environment. This research evaluated the knowledge, attitudes, and practices (KAP) of conventional infection control procedures among HCWs in King Fahad Hospital (KFH), Al Baha, Saudi Arabia). A structured questionnaire was utilized to conduct an online cross-sectional survey among HCWs of KFH.
A considerable number of participants exhibited recognition of the significance of conventional precautions and the function of personal protective equipment (PPE). Nevertheless, significant deficiencies remain in both comprehension and implementation, especially regarding glove use and the sources of hospital-acquired infections. Although 88.9% acknowledged the hazards linked to Hepatitis B and 87.9% to HIV/AIDS, merely 40.4% recognized that Plasmodium spp. is not transmitted by contaminated sharps, underscoring the necessity for focused educational interventions. The survey revealed a favorable trend in hand hygiene practices, with 91.9% of respondents underscoring the significance of handwashing following patient encounters. he surveys indicated significant discrepancies in practices, with only 47.5% of participants properly disposing of sheets from contaminated patients. These findings highlight the imperative for ongoing education to improve adherence to infection control protocols.
Fostering a culture of innovation in healthcare through advanced technology and ongoing training for professionals
Authors: Morenikeji I. Yisa
Published: January 2025

In the rapidly evolving healthcare landscape, fostering a culture of innovation is essential to improving patient outcomes, enhancing operational efficiency, and ensuring the sustainability of healthcare systems. Advanced technologies such as artificial intelligence (AI), telemedicine, electronic health records (EHR), and wearable devices are transforming healthcare delivery, enabling more personalized, data-driven care. However, the full potential of these technologies can only be realized when healthcare professionals are equipped with the necessary skills and knowledge through ongoing training programs. Creating a culture of innovation requires more than just the adoption of new technologies; it necessitates a shift in mindset, where continuous learning, adaptability, and collaboration are embedded into the healthcare workforce. Ongoing training programs play a critical role in this process by ensuring that healthcare professionals are proficient in utilizing new technologies and can effectively integrate them into clinical practice. Training initiatives should focus not only on technical skills, such as using AI algorithms or managing telemedicine platforms, but also on fostering critical thinking, problem-solving, and leadership capabilities. By encouraging healthcare providers to embrace change and invest in their professional development, healthcare organizations can cultivate an environment that promotes innovation at every level. This paper explores the importance of fostering a culture of innovation in healthcare through the integration of advanced technologies and continuous professional training. It highlights the benefits of innovation, such as improved patient care, better decision-making, and operational efficiencies, while also addressing the challenges associated with technology adoption and workforce development.
Assessing Prompt Inputs to Generative AI from Copyright Perspectives
Authors:   Korea Copyright Commission, Ryu Shiwon
Published: January 2025

The rapid development and proliferation of AI technologies heralds profound changes to the copyright regime. In this vein, conflicting views are being expressed regarding how to evaluate the creation of expressive works using generative AI from copyright law’s perspectives. One argues that generative AI is just another tool and should be recognized by copyright law from its historical perspectives, and thus it is natural to expand copyright protection therto, pointing to the bright future prospects including expansion of the expressive means and creative participants. The opposing side argues that the inherent randomness, indeterminacy and unintelligibility of AI’s operation makes it different from traditional tools for creation in terms of copyright, and that copyrighting AI outputs will lead to the extinction or degradation of human creativity.
These debates are often characterized by a mixture of interpretive and policy perspectives of copyright law. This article aims to introduce a balanced outlook of the cases and debates on the copyrightability of AI outputs, with main focus on prompt inputs to the generative AI, thereby providing a basis for further discussion. Reviewed in the article are as follows: First, while the U.S. Copyright Office has been denying creative contribution by prompt inputs to generative AI, Beijing Internet Court of China and Japanese government take a flexible approach. Also, more and more scholars are turning in favor of copyrighting some AI outputs. Second, the wide spectrum of forms, contents, and use cases of prompt inputs makes it increasingly difficult to maintain a rigid attitude toward the authorship of AI outputs. Third, recognizing ‘authoring by prompt inputs’ under copyright law is ultimately a matter of copyright policy. Therefore, it is necessary to distinguish between interpretive and policy discussions. Policy makers have an urgent task to collect factual evidence on the current status and prospects of generative AI technologies in creative markets, and formulate policies based on in-depth scrutiny of the facts. It is hoped that the cases and policy/academic discussions reported in this article help lay the foundation for copyright policy debates on generative AI.
RANCANG BANGUN SMARTHOME BERBASIS HAIWELL CLOUD SCADA MENGGUNAKAN ESP32
Authors: Al Faris Muhammad Rifky , Irawan Denny
Published: January 2025

These days, there is a definite need for labor that is quicker, simpler, and more succinct as technology advances. The term "smart home" refers to a technology or device concept that integrates electronic devices and household equipment for monitoring and control. This allows all of the devices in the house to be monitored and controlled centrally in a central microcontroller, specifically a microcontroller that can be controlled remotely in real time. In this project, the author controls electronic items including lights, fans, and televisions using a relay. After determining the room's temperature using a temperature and humidity sensor (the DHT22), it links the sensor to a fan to gradually lower the room's temperature. PZEM-004T sensor for power, voltage, and current measurement and control. The lights on the house's terrace are controlled by the LDR sensor, also known as a light sensor. The ESP32 microcontroller integrates and connects everything, while Haiwell Cloud Scada controls and monitors it all.
Pengembangan Platform Digital untuk Penyuluhan dan Konseling Islam
Authors: Sari Nabilla Puspita , Waston Waston , Rohmani Annas Fajar
Published: January 2025

Pengembangan platform digital untuk penyuluhan dan konseling berbasis ajaran Islam bertujuan untuk memberikan solusi yang relevan dan bermanfaat bagi umat Muslim di era digital saat ini. Platform ini mengintegrasikan prinsip-prinsip Islam dalam setiap aspek layanannya, termasuk konseling personal melalui video call, chat, atau telepon dengan konselor yang berkompeten dalam psikologi dan syariat Islam. Selain itu, platform ini menyediakan konten edukatif seputar fiqh, akhlak, dan permasalahan keagamaan melalui artikel dan video. Fitur pengingat ibadah, seperti pengingat waktu sholat, baca Al-Qur'an, dzikir, dan panduan doa, membantu pengguna dalam menjaga rutinitas spiritual mereka. Forum diskusi atau Q&A memungkinkan umat bertanya secara anonim dan mendapatkan jawaban dari para ahli. Platform ini juga menawarkan tes atau kuis kepribadian Islam untuk menilai kondisi mental dan spiritual pengguna. Dengan pendekatan yang sesuai dengan syariat, platform ini memastikan bahwa nasihat dan solusi yang diberikan sejalan dengan ajaran agama, sehingga umat Muslim dapat menjalani kehidupan dengan lebih baik dan lebih sesuai dengan nilai-nilai Islam. Platform ini juga memberikan dukungan emosional dan psikologis yang diperlukan, menciptakan lingkungan yang saling mendukung dan memperkuat solidaritas umat.
Pengembangan Aplikasi Terapi Islam Digital untuk Mengatasi Kecanduan Judi Online: Integrasi Al-Qur'an, Hadits, dan Konseling Psikologis
Authors: Wulandari Putri Indah , Waston Waston , Rohmani Annas Fajar
Published: January 2025

Pengembangan HeaLink, sebuah aplikasi terapi Islam digital yang dirancang untuk membantu individu mengatasi kecanduan judi online melalui pendekatan yang mengintegrasikan nilai-nilai spiritual Islam dengan teknik konseling psikologis modern. HeaLink menawarkan fitur utama seperti motivasi spiritual harian melalui "Kata Kata Hari Ini," terapi berbasis Al-Qur'an dan Hadits, program harian terstruktur, konseling online dengan ustadz dan psikolog, serta komunitas support group. Dengan antarmuka yang intuitif dan fitur interaktif, aplikasi ini bertujuan untuk membantu pengguna membangun resiliensi spiritual, mengatasi akar permasalahan kecanduan, dan menjalani kehidupan yang lebih seimbang. Melalui pendekatan yang holistik dan inovatif, HeaLink diharapkan mampu memberikan solusi efektif untuk memulihkan individu dari dampak negatif judi online, sekaligus berkontribusi dalam meningkatkan kesejahteraan mental dan spiritual masyarakat.
A numerical study of the effects of various diesel fuel types on the performance of single-cylinder diesel engines
Authors:   Department of Mechanical Engineering, Collage of Engineering, University of Al-Qadisiyah, Al-Diwaniyah, Iraq, Al-obaidi Wisam , Jamshed Wasim ,   Department of Mathematics, Capital University of Science and Technology (CUST), Islamabad, Pakistan.
Published: January 2025

The present study examines numerically the combustion, performance, and emissions parameters of diesel engines powered by different grades of diesel. The Diesel-RK software version 4.3.0.189 is used to simulate the combustion process with a multi-zone model. The Iraqi diesel, EN 590, Heavy diesel, and light diesel are considered. Their energy content, sulfur, cetane number, and other additives are different, hence it's logical to observe different results. The condition of full load point is selected since the air-to-fuel ratio is minimum, hence a better comparison among the fuels is captured. The diesel EN 590 reported a lower ignition delay ( 9.1 deg.) due to the lower cetane number, while it is 10.8, deg. 17.4 deg., and 14.1 deg. for Iraqi diesel, heavy diesel, and light diesel respectively. Compared to other fuels considered the light diesel offered lower fuel consumption and higher thermal efficiency. The results showed less CO2 emissions in the case of light diesel (778.3 kg/kWh), compared to heavy diesel which had an obvious rise in CO2 emissions (817.08 kg/kWh). The difference in the density chemical structure, the results showed that Bosh smoke number (BSN) values of Iraqi, and EN 590 diesel were almost the same at 1.39, and 1.385 respectively, while the BSN of light diesel was slightly higher at 1.44 compared to 1.8 for heavy diesel. The higher NOx levels of about 2400 and 2225 ppm, respectively, were produced by Iraqi and EN 590 diesel. But out of all the fuels, heavy diesel had the lowest NOx rating, at 1000 ppm.The accuracy of the software used is validated with the results of other studies.
Uso de IA em educação: experiências metodológicas no ChatGPT
Authors: Santana Fernanda Castilho
Published: January 2025

A proposta deste artigo é relatar um conjunto de experiências de pesquisa bibliográfica inicial, com auxílio do ChatGPT, para desenvolvimento do estado da arte de uma investigação sobre professores e fãs. Em vez da consulta a conhecidas bases de dados científicas nacionais e internacionais, iniciamos uma conversa com o ChatGPT, tecnologia de Inteligência Artificial que simula conversas humanas, a partir de perguntas, num ambiente virtual. Esta experiência possibilitou uma análise das respostas formuladas pelo Chatbot, conforme alguns autores têm realizado (Hutson, 2022; Rossoni, 2022) e, adicionalmente, foi possível testar as métricas de análise propostas pela metodologia EIAF (Exploratory Interview for Assessing Functionalities) (Santos, 2023). Por outro lado, pudemos refletir a respeito dos desafios impostos aos docentes relativamente ao contexto educacional em tempos de IA.
O uso das tecnologias da informação e comunicação nas aulas de língua inglesa de uma faculdade de tecnologia
Authors: Da Silva Vieira Thiago , Avella Ramirez Rodrigo
Published: January 2025

O objetivo desse artigo é analisar a tecnologia na sala de aula que se destaca como recurso didático nos cursos superiores na disciplina de língua inglesa de uma faculdade de tecnologia.  Objetivou-se analisar as experiências formadoras, com o uso das tecnologias de informação e comunicação (TICs) nas aulas de inglês, após o período pandêmico. Aliada a uma pesquisa bibliográfica, procurou-se mencionar o uso das ferramentas digitais utilizadas pelo docente para complementar e tornar suas aulas mais dinâmicas. Os resultados deste relato mostram que é preciso o conhecimento aprofundado e reflexivo sobre a ação docente, bem como o fazer didático que orienta o processo para oferecimento das melhores condições de aprendizagem dos estudantes. Evidenciou-se, assim, a necessidade de delinear percursos metodológicos, uso de ferramentas tecnológicas que viabilizassem as mudanças de modo a conceber e trabalhar com as línguas estrangeiras em questão.
Implementasi Metode BCCT untuk Pengembangan Lingkungan Belajar Literasi Anak Usia Dini
Authors: Cahyani Isah , Sulistyaningsih Lilis Siti , Sitaresmi Nunung , Dewi Intan Karunia , Rohmat Rohmat , Yahya Layyina Elwirda
Published: January 2025

Penelitian ini bertujuan untuk menganalisis Metode Beyond Centers and Circle Time (BCCT) sebagai metode yang berkualitas untuk mengajarkan literasi kepada anak pada jenjang Pendidikan Anak Usia Dini (PAUD). Jenis penelitian ini adalah deskriptif kualitatif. Sumber data berasal dari observasi, wawancara dengan pendidik, jawaban dari kuesioner yang diberikan kepada pengajar PAUD, dan kajian pustaka guna memperkuat hasil penelitian. Metode yang dilakukan adalah kualitatif dengan menganalisis data yang didapatkan. Hasil penelitian mengindikasikan bahwa BCCT berkontribusi pada keterampilan literasi anak. Sebanyak 43 responden dari 22 lembaga PAUD di Bandung Raya secara dominan memberikan respons bahwa pengimplementasian BCCT mampu meningkatkan kemampuan berpikir dan berekspresi anak, terutama mendukung literasi anak pada bidang dasar menyimak, berbicara, membaca, bahkan menulis. Dengan mengadakan pelatihan terhadap pendidik PAUD, penelitian ini diharapkan dapat menjadi bekal para pendidik untuk menerapkan BCCT sebagai metode dalam menyiapkan anak memasuki jenjang pendidikan selanjutnya. Meskipun ditemukan beberapa kendala seperti kurangnya pemahaman guru, keterbatasan sarana dan media pembelajaran, dan dukungan orang tua maupun pemerintah, pendidik direkomendasikan untuk menjawab kendala tersebut melalui kolaborasi dan kreativitas yang memang menjadi esensi dari BCCT.
Pembelajaran Berbasis Projek untuk Penguatan Karakter Disiplin, Kerja Sama, dan Peduli Lingkungan pada Anak di Lembaga PAUD
Authors: Ali Ahmad Nabil Hikam , Kusdarini Eny , Latif M. Ali
Published: January 2025

Penelitian ini bertujuan untuk menganalisis dampak pembelajaran berbasis projek dalam penguatan karakter disiplin, kerja sama, dan peduli lingkungan pada anak usia dini di lembaga PAUD. Penelitian ini temasuk studi kasus dengan pendekatan kualitatif. Menggunakan observasi, wawancara dan studi dokumentasi sebagai teknik pengumpulan data. Data dianalisis menggunakan model tiga langkah Miles and Huberman. Hasil penelitian menunjukkan bahwa penerapan pembelajaran projek dapat menguatkan  karakter disiplin, kerja sama dan peduli lingkungan pada diri anak di lembaga PAUD. Disiplin anak terimplementasikan  dari kebiasaan memungut sampah yang ditemukan setiap hari, kerja sama  terimplementasikan dari perilaku saling mendukung dan bergotong royang menciptakan lingkungan bersih, dan kepedulian lingkungan terimplementasikan dari kesediaan dan kegiatan untuk menciptakan lingkungan bebas dari sampah dan pemandangan kotor.
A Qualitative Study: Effectiveness of Learning Corners Approach to Foster Creativity in Preschoolers
Authors: Hanifah Nor , Azizah Dewi Maulana , Muzaqi Muhammad Burhanudin , Fatmawati Fatmawati , Aziz Rahmat
Published: January 2025

This research explores the effect of the safety corner method in increasing creativity in early childhood. With a qualitative case study approach, data collection is through observation and interviews with teachers and parents. The data analysis technique in this research uses a thematic analysis model. The population selection in this study used a purposive sampling technique. The results showed that the safety angle method significantly improved children's creative abilities, including fluency, flexibility, and originality. In addition, this method supports cognitive and social development by creating a structured yet flexible learning environment. Children who participate in safety corner learning show good adapting, collaborating, and independent thinking abilities compared to children in a conventional learning environment. However, challenges such as inconsistent implementation and difficulty in certain tasks were identified. This research contributes to the literature by highlighting the effectiveness of structured learning environments in encouraging creativity in early childhood and providing practical recommendations for educators.
Dua Bahasa, Satu Kisah: Analisis Perbandingan Kosakata dalam Film Animasi pada Zaman Dahulu Musim Kelima
Authors: Dewi Intan Purnama , Wibowo Setiawan Edi , Supartinah Supartinah , Juliati Juliati , Sahila Rashika Ardafa
Published: January 2025

Penelitian ini bertujuan untuk mengkaji perbandingan kosakata antara bahasa Indonesia dan bahasa Melayu dalam rangka pengayaan kosakata serta pemahaman perbedaan dan persamaan penggunaan kata-kata dalam kedua bahasa tersebut. Strategi penelitian ini menggunakan deskriptif kualitatif dengan pendekatan linguistik kontrastif. Perbandingan kosakata pada penelitian ini sangat esensi untuk memperluas pengetahuan tentang perbedaan dan persamaan ragam bahasa, keakuratan dalam memilih dan menggunakan kosakata dan membantu masyarakat untuk memahami pesan yang disampaikan agar lebih mudah dipahami. Penelitian ini berfokus pada animasi audio-visual “Pada Zaman Dahulu” musim kelima tahun 2020. Data yang dianalisis meliputi perbandingan kosakata seperti ayam dan semut, beruang dan lebah, serta kucing dan harimau. Film ini sangat direkomendasikan bagi anak-anak karena didukung oleh percakapan dengan terjemahan dialek Indonesia. Hasil penelitian menunjukkan tiga poin utama dalam perbandingan kosakata, yaitu 7 kata dengan bentuk yang sama, 1 kata dengan bentuk mirip, dan 34 kata dengan bentuk yang berbeda. Secara keseluruhan, ditemukan 42 kata yang memiliki makna yang sama namun digunakan secara berbeda dalam bahasa Indonesia dan Melayu. Temuan ini memberikan dampak positif bagi anak-anak untuk menambah wawasan tentang variasi kosakata kedua dialek dan dapat memperkaya pemahaman kosakata yang tepat dalam konteks komunikasi.
The Effectiveness of the CIPP Evaluation Model in Science Learning in the Era of the Industrial Revolution 4.0
Authors: Hilmiyati Fitri , Panggabean Tongam E , Khoirunnisa Riza Noviana , Dewanto Dewanto , Siregar Muhammad Sapril , Santosa Tomi Apra
Published: January 2025

This study aims to determine the effectiveness of the CIPP model in evaluating science learning in students in the 4.0 revolution era. This research is a type of quantitative research with a meta-analysis approach. The inclusion criteria in this study are 1) the research was published in 2022-2024; 2) research must be indexed by the Science Technology Index (SINTA) or Scopus; 3) research was obtained through the Google Scholar, Mendeley, and ERIC databases; 4) The research must be relevant and report complete data to calculate the effect size value—data analysis through statistical analysis with the help of JSAP applications. The analysis results of 20 publications obtained a summary effect size value ( d = 0.861; p 0.001). Effect size is included in the category of very high effect size.  These findings conclude that using the CIPP model has a positive effect on the evaluation of science learning in students compared to other evaluation models. No publication bias was found in this meta-analysis study, so it can be scientifically accounted for.
Pengembangan Komik “Gen Alpha Jago Bisnis” Media Internalisasi Nilai-Nilai Kewirausahaan Anak Prasekolah
Authors: Suzanti Lizza , Widjayatri Rr. Deni , Anwar Syifa Fauziyah , Aliza Nur , Safira Azumah Lola , Rustianingrum Risma
Published: January 2025

Internalisasi nilai-nilai kewirausahaan pada anak prasekolah penting untuk membentuk karakter dan mengembangkan keterampilan sebagai fondasi yang dibutuhkan di masa yang akan datang. Penelitian ini bertujuan untuk mengembangkan komik yang diberi judul “Gen Alpha Jago Bisnis” melalui RD model ADDIE. Pengumpulan data dilakukan melalui wawancara, observasi, dan kuesioner. Partisipan terdiri dari ahli materi, ahli media, guru, dan anak prasekolah. Hasil penelitian menunjukkan bahwa komik yang dikembangkan sangat layak digunakan sebagai media dalam menginternalisasi nilai-nilai kewirausahaan bagi anak prasekolah berdasarkan penilaian ahli materi, ahli media dan guru. Sementara itu, pengetahuan dan sikap anak pada saat menggunakan komik berada pada kategori tinggi. Implikasi praktisnya komik ini dapat digunakan sebagai media untuk membantu guru dan orang tua mempelajari nilai-nilai kewirausahaan dengan cara yang menyenangkan dan mudah dipahami. Hal ini akan mengajarkan anak-anak untuk menjadi kreatif, mandiri, mampu membuat keputusan, dan mampu memecahkan masalah sejak dini. Anak-anak juga belajar keterampilan hidup penting lainnya yang berguna untuk masa depan mereka.
The Impact of Nero Book Series on Inclusive-Collaborative Parenting in ECE
Authors: Armelia Salsa , Mirawati Mirawati , AM Muh Asriadi
Published: January 2025

This research in based on a problem where teachers and parents do not yet know what Neurodivergent and Inclusive-Collaborative parenting are. This research aims to obtain test result on the implementation of the Nero Books series on Teachers and Parents in improving Inclusive-Collaborative Parenting in TK Labschool UPI Cibiru. This research uses a case study method with observation and interview data collection techniques. Data was collected and analyzed using Miles and Huberman data analysis starting from data collection, data presentation and concluding. The Results show that the Nero Book Series significantly increases teachers' and parents' understanding of Neurodivergent children, supporting more effective collaboration in inclusive-collaborative parenting. This is based on interviews conducted by researchers with teachers and parents who saw changes for the better. So this Nero book series has succeeded in creating inclusive, collaborative parenting that is synergistic for teachers and parents.