bluuebunny/crossref_metadata_2025 huggingface dataset:
A Landscape in Motion
Authors:   , Allen Mary
Published: August 2024

Wellington’s coastal landscape is a layered and changing condition. Informed by landscape architect and theorist James Corner’s insights from “Landscape Imagination”, this research contends that “just as a landscape cannot spatially be reduced to a single point of view, it cannot be frozen as a single moment in time. The geography of a place becomes known to us through an accumulation of fragments, detours, and incidents that sediment meaning” (Corner & Hirsch, 2014). Within this framework, speculative architectural design emerges as a pivotal medium, exploring the aesthetic voice of landscape, and proposing architecture that is co-authored between humans and landscape. This thesis explores the proposition that architecture connects and converses with its environment. Through a speculative design methodology, the research develops a range of architectural techniques as translational tools for landscape ephemerality to become aesthetically agential. This research aims to deepen comprehension of these complex phenomena in order to expand spatial and architectural understanding through explorations of landscape and architecture. The research unfolds through an iterative design process comprised of a series of design experiments, each increasing in scale and architectural complexity. Beginning with an installation at the scale of the body, followed by a series of coastal interventions along the rocky southern coast, culminating in a reimagined ‘urban landscape’ comprised of four interconnected rooftop interventions.

These design explorations are supported by a literary framework drawing from the concepts of poíēsis and sympoíēsis, emphasising the act of collaborative creation, supported by artists and thinkers like Nikolaus Gansterer and Donna Haraway. The explorations utilise a diverse range of design media, continually shifting between analogue and digital techniques, to draw out the landscape’s aesthetic agency. This outcome presents a novel approach to conceptualising the relationship between architecture and landscape, highlighting their connection, entanglement, and mutual influence. The research fosters a rigorous exploration of liminal architectural expressions that engage in dialogue with the landscape, capturing and translating the shifting qualities of the coast. In giving landscape an aesthetic voice, this work challenges prevailing notions of how architecture and landscape are understood and related in Aotearoa.

Throughout this exploration, critical reflection on drawings and design iterations deepen the discourse surrounding the research focus. The thesis investigates the dynamic interplay between architecture and the natural context it inhabits. It speculates on the potential of architecture to act as an agent in an ontological shift, fostering a deeper understanding of the tacit connectedness that exists between built and natural environments. This compels a relational approach to architectural practice, driven by transformative and radical design methods.
A Study on the Application of Task-Driven Teaching Method in High School Mathematics Teaching: Taking “The Determination of Vertical Line and Plane” as an Example
Authors: Fu Xiaowei
Published: August 2024

The “Ordinary High School Mathematics Curriculum Standards (2017 Edition, 2020 Revision)” clearly stated in “Teaching Suggestions” that “teaching activities based on the core literacy of mathematics should grasp the essence of mathematics, create appropriate teaching situations, put forward appropriate mathematical questions, stimulate students to think and communicate, and form and develop the core literacy of mathematics.” The task-driven teaching model is a new type of teaching method that takes tasks as the main line, teachers as the guide, and students as the main body, which can enable students to engage deeply in classroom discussions and think actively. Based on the characteristics and principles of the task-driven teaching method, this paper designs a high school mathematics classroom teaching based on the task-driven teaching method, hoping to provide a reference for the majority of front-line teachers.
HACIA UNA PROPUESTA DE SEGURIDAD NACIONAL A LA LUZ DE LOS CASOS DE CHILE Y MÉXICO Y EL COMBATE AL CRIMEN ORGANIZAD
Authors: Ramírez Sánchez Diego
Published: August 2024

En el artículo se realiza una propuesta conceptual de Seguridad Nacio- nal, entendiéndola como una condición conformada por dos dimen- siones complementarias: la seguridad exterior y la seguridad interior. Para lograrlo se utilizan como base los casos chileno y mexicano, en tanto el conflicto ancla que se utilizará para problematizar el concepto es el del combate al crimen organizado. El análisis propone que el fe- nómeno criminal mencionado es capaz de transformarse en una ame- naza a la seguridad interior que, al agravarse, amenaza a su vez la se- guridad nacional. Al mismo tiempo, asevera que la definición concreta de los conceptos de seguridad adoptada por un país, o la falta de esta, condiciona la respuesta nacional a este tipo de amenazas, así como las instituciones construidas para este fin.
LA INTELIGENCIA CRIMINAL: CONCEPTO, IMPLEMENTACIÓN, EXPERIENCIAS COMPARADA
Authors: Manuel Ugarte José
Published: August 2024

La inteligencia criminal es conocimiento sobre el delito, para prevenir- lo, y enfrentarlo con eficacia. En diversos países del mundo para ob- tener, elaborar y difundir ese conocimiento se crean organismos de inteligencia criminal, constituidos fundamentalmente por policías, por analistas profesionales en diversas disciplinas para comprender e in- terpretar al delito, por técnicos informáticos y personal administrativo de apoyo, y se constituyen órganos de inteligencia criminal en las ins- tituciones policiales, fuerzas de seguridad, y otros órganos que partici- pan de la seguridad pública, interconectándose telemáticamente con el organismo de inteligencia criminal cabeza del sistema, trabajando todos de acuerdo con una doctrina común. Existen otras formas orga- nizativas con una finalidad similar: la de conocer al delito, la de inter- pretar el ambiente criminal (Ratcliffe) que es lo que es preciso lograr.
DESCODIFICANDO LA INFRAESTRUCTURA CRÍTICA: CASO NACIONAL
Authors: Queirolo Pellerano Fulvio
Published: August 2024

Diversos incidentes, de carácter antrópico o natural, han afectado estructuras públicas y privadas, sean materiales o intangibles, provo- cando estragos en el buen desempeño funcional de servicios funda- mentales que requiere un país, sociedad o colectivo. En este ámbito, numerosas administraciones estatales, organismos internacionales y organizaciones multilaterales han avanzado en identificar cuáles se- rían aquellos servicios y estructuras administrativas, cuya alteración o ruptura, podrían ver socavada su principal cometido. Dicho entorno se concibe como infraestructura crítica. Así las cosas, es posible observar que pese a todos los avances para otorgar una adecuada conceptua- lización, así como establecer niveles de responsabilidad en su protec- ción, también es factible evidenciar que, para el caso nacional, la nor- mativa no ha madurado adecuadamente. Por lo tanto, es esencial una definición rápida que contenga una descripción clara, así como una estrategia para proteger la infraestructura crítica nacional.
ANNUAL THREAT ASSESSMENT
Authors: El editor
Published: August 2024

ANNUAL THREAT ASSESSMENT.
Role of Effective Assessment in Motivating Students with Learning Difficulties in Primary Schools from Teachers’ Perspectives in Abha
Authors: Khasawneh Mohamad Ahmad Saleem
Published: August 2024

This study investigated the attitudes of teachers of students with learning difficulties toward the assessment methods used in primary schools in Abha City, Saudi Arabia. The descriptive analytical method was used and a questionnaire developed as research instrument. The study sample of 140 teachers was chosen randomly to represent part of the study population, namely teachers who teach students with learning difficulties. The teachers had positive attitudes toward the assessment method used for students with learning difficulties, resulting from the positive views of the community and the school principal. The teachers were a category of special education teachers who deal with a group that was marginalized in the past and have now garnered interest as they need dealing and providing care. The findings show that teachers of students with learning disabilities, regardless of their academic degrees or qualifications, try to structure the questions and explain them to the students in such way that they can understand and answer them, in addition to reducing the difficult essay questions that they cannot answer. In addition, classrooms are poorly staffed. The results show that, in comparison to primary school students, the students benefited from the oral reading component of the mathematics test, which is useful for students with learning difficulties.
Tüketim Üzerinden Mekânsal Dönüşümün Alışveriş Merkezleri Kapsamında Değerlendirilmesi: İstanbul Örneği
Authors: Demirpençe Özdoğan Gökçe , Begeç Hasan , Zengel Rengin
Published: August 2024

Mimarlık, insanların ihtiyaçları, kültürel geçmişleri ve teknolojik yenilikler ile ilişkili olarak tarih boyunca sürekli değişmiştir. Bu çalışmada değişen tüketim alışkanlıkları üzerinden mekânsal dönüşüm ele alınmıştır. Günümüzde tüketim toplumunun belirgin bir özelliği haline gelen değişen tercihler, alışveriş alışkanlıkları ve yaşam tarzları, mekanların işlev ve tasarımında dönüşümlere yol açmaktadır. Tüketim, tüketicinin mal ve hizmetleri satın alması ve kullanması anlamına gelir. Ekonomik bir faaliyet olmasının yanı sıra toplumun sosyal ve kültürel yapılarını da etkilemektedir. Tüketim alışkanlıkları, bireylerin ve toplumun değerlerini, tercihlerini, yaşam tarzlarını ve toplumsal ilişkilerini yansıtır. Tüketim, ekonomi ile tanımlanan bir faaliyet durumunda iken bu faaliyetin uygulama alanı olarak mekân ile ilişkisi nasıl değerlendirilebilir? Bu çalışmanın amacı ‘mekânsal dönüşüm’ kavramını analiz etmek, üretimi, tüketimi ve dönüşümü arasındaki etkileşimi incelemek, tüketim alışkanlıklarının bu dönüşümdeki etkilerini ortaya çıkarmaktır. Çalışmada veriler ve analizler literatür taramaları ile oluşturulmuştur.

İlk olarak fenomenolojik olarak mekân kavramı, tarihsel süreçte mekân kavramının dönüşümü, mekânın üretimi ve dönüşümü konuları irdelenmiştir. Kuramsal dönüşümün yanı sıra değişen toplumsal tüketim alışkanlıklarına paralel olarak mekanlar işlevsel, yapısal ve estetik açılardan değişime-dönüşüme uğramıştır. Sonraki bölümlerde tüketim kültürünün mekânsal boyutu ele alınmıştır. Bu bağlamda, tüketim kültürünün mekânsallaşması, mekânların ve yerlerin tüketim nesnesi olarak algılanmasına ve kullanılmasına neden olur. Günümüze kadar gelen süreçte tüketim mekanlarına ait kuramsal ve yapısal altyapılar oluşmuştur. Bu altyapıları desteklemek için tüketim mekânı olarak tarihsel süreçteki değişimleri değerlendirmek amacıyla her dönemin popüler ticari mekanlarının dönüşümü incelenmiş, İstanbul’un tarihi ticari mekânı Kapalı Çarşı, ilk alışveriş merkezi Galleria Alışveriş Merkezi, Anadolu yakasının ilk alışveriş merkezi olan ve günümüz tüketim alışkanlıklarına adapte olmak için yenilenen Capitol Alışveriş Merkezi, Cevahir Alışveriş Merkezi, Palladium Alışveriş Merkezi, güncelliği koruyan Zorlu Alışveriş Merkezi analiz edilmiştir. Bunun sonucunda tüketim eylemi arttıkça tüketim toplumu kalabalıklaşmakta, ticari mekanların hacimleri ve işlevleri genişlemektedir. Yapıldığı dönemde popüler olan alışveriş merkezlerinin yerine daha hızlı tüketilebilen alternatifler yapıldıkça, eskileri de popülerliğini yitirmekte ve mevcut alışveriş merkezleri daha hızlı tükenirken, yeni alışveriş merkezleri yapılmaktadır.
Developing Animated Video of Describing People for Vocabulary Learning
Authors: Diva Erlina Septiani  , Purwanti Indah Tri , Prawati Atni
Published: August 2024

This study aims to develop an animated learning video on describing people. The subjects of this study were first-year students majoring in English education at Riau University, totaling 39 students. The researchers applied Research and Development (R&D) by applying the ADDIE model. The instruments used were interviews, validation sheets from media experts, material experts, and pedagogic experts, and student response questionnaires. The results showed that the average results of the experts' assessment for animated videos with idioms for describing people material were 92.4% which was classified as 'highly valid' and for animated videos with material describing people; personality was 93% which was classified as 'highly valid', then from the results of student response questionnaires obtained a percentage score of 80.66% categorized as 'feasible' for video animations with idioms for describing people material and 79.22% categorized as 'feasible' for video animations with material describing people; personality. Therefore, the video animation is declared valid and feasible to be used as vocabulary learning media for English language education students. In addition, the use of animated video learning media describing people can have a positive impact on learning activities, namely attracting students' interest in learning and helping students understand the material.
Development of Flipped Classroom Learning Design Assisted by Digital Storytelling Media in the Photography Course for Visual Communication Design Students in The Bachelor's Program at STIE Asia Malang
Authors: Fathurrosi  , Ulfa Saidah , Degeng Made Duananda Kartika
Published: August 2024

This study aims to develop a flipped classroom instructional design assisted by digital storytelling media for the Photography course for undergraduate students of Visual Communication Design at STIE Asia Malang. The approach of project-based learning integrates the use of technology and active learning methods to enhance the effectiveness of learning. The Research and Development design used the instructional design proposed by Degeng & Degeng (2018). It divided into three phases of instructional design formation, namely 1) analysis of learning conditions, 2) development of learning strategies, 3) development of outcome measurement procedures. The results of the study show that this instructional design is effective in increasing student engagement and active participation. Students are more involved in the learning process, more motivated, and better able to apply the knowledge they have gained in real projects. Additionally, their learning outcomes significantly improved in both conceptual understanding and practical application. The efficiency of this design is also evident from the optimization of learning time, where students can utilize out-of-class time to study the materials, while in-class time is used for more interactive discussions and collaborative projects.
Artificial Intelligence Comic Strips (AICS) for Retelling Students’ Experience: Does It Work and How?
Authors: Diana elfira  , Faiza Hawa  , Theresia Cicik Sophia Budiman
Published: August 2024

Artificial Intelligence Comic Strips (AICS) is a sophisticated combination of Artificial Intelligence (AI) and Comic Strips (CS). The use of AICS in the learning process can help students improve their skills, particularly in writing recount texts. This research was completed to seek an answer if AICS works for teaching writing and improving students’ abilities in composing written experiences and to know how AICS works for teaching writing. The research used a quasi-experimental design, and the main sample was eighth-graders at SMP Negeri 1 Subah. The instruments used were pre-test, post-test, and questionnaire. Data analysis and processing were done with SPSS 27. The implementation of AICS increased the average score of students in the experimental class from the pre-test score (60.359) to the post-test score (81.550). The Asymp. Sig. (2-tailed) value of 0.000 in the Wilcoxon test indicates a highly significant difference between the pretest and post-test results. The questionnaire given to students was divided into 3 parts: students' initial ability in writing recount text, students' knowledge of AI and comic strips, and students' experience in using AICS. The questionnaire's findings indicated that the students agreed that using AICS was enjoyable, helped them develop ideas, and provided them with optimism that they would get high scores. In conclusion, implementing AICS can help students write recount texts and motivate them to learn.
Use of Flashcards Through Umbul Game in Learning Vocabulary: Is It Effective?
Authors: Aris Ariyanto  , Theresia Cicik Sophia B.  , Sukma Nur Ardini
Published: August 2024

Vocabulary is the basic thing needed to learn the foreign language. It is wording that people have to know to communicate well, both in written and spoken structures, especially for young learners. Children's language development depends on their vocabulary, which has an impact on their academic performance. This study aimed to understand why first-grade elementary students struggle with English vocabulary in the curriculum. The primary goal was to determine if using flashcards with the Umbul game improved English vocabulary for first-grade students. The design of the research is Classroom Action Research (CAR). There are four fundamental processes in Classroom Action Research (CAR). Those are planning, acting, observing, and reflecting. In accordance with planning, the researchers prepare teaching kits needed to take action, such as: lesson plans, observation sheet, materials to be used in the classroom action, and evaluation sheet. In terms of acting, researchers implement the plan after preparing lesson plans, materials and evaluations. In this research, the researchers apply flashcards through Umbul games in teaching vocabulary. The researchers also give the post-test. Concerning observing, the researchers observe the process of teaching and learning activity. The researcher also makes result sheet to take note the information that occur during the activity. Regarding reflection, the researchers reflect, evaluate, and describe to improve the condition in the next cycle. The subjects were first-grade students from SD Pangudi Luhur Don Bosko Semarang participated in class I-C research projects. In this study, observation and evaluation sheet were applied as instruments. On the other hand, the information was obtained from observation and evaluation sheets. Information examined throughout the study was quantitative. The data was collected, and then it was examined by the researchers. The findings indicate a significant increase in first-grade students' motivation to learn English vocabulary, from 7% before to 15% after using flashcards. After implementing the flashcards through the Umbul game, the statistics indicated that students were able to acquire vocabulary with ease and were actively engaged in the teaching-learning process in the classroom. With the use of flashcards through Umbul games, students become more engaged in their studies and are more motivated to learn English. The students will have opportunities to improve their English by employing this strategy. Additionally, the English teacher can provide up chances for student participation in class activities by using flashcards as illustrated media. Hopefully, these findings can serve as a reference for future research.
Practical Application of Assessment Theories for English Teacher through Digital Technologies
Authors: Sembiring Lina , Sembiring Shafa Salsabila
Published: August 2024

Digital technology has revolutionized educational quality, particularly in English as a Foreign Language (EFL) classrooms. This article examines the benefits and challenges of using web-based applications such as Kahoot, Quizizz, Google Apps, and Nearpod for assessments. These tools offer innovative alternatives to traditional methods by enabling dynamic evaluation of student progress, providing real-time feedback, and creating engaging learning experiences. However, challenges such as internet connectivity issues, technological proficiency gaps, and the need for adequate devices can hinder their effectiveness. This paper provides guidelines for optimizing digital assessments, including assessing students' proficiency levels, setting realistic deadlines, ensuring equitable access to technology, and selecting appropriate platforms. The methodology comprises a thorough review and analysis of existing literature on digital tools in EFL classrooms, emphasizing the benefits and challenges of web-based assessment applications. By following these guidelines, educators can design assessments that are valid, reliable, fair, and transparent, thus enhancing teaching strategies and student outcomes. The article also highlights the importance of understanding various assessment types—initial, formative, and summative—and tailoring digital tools to meet specific EFL education objectives. By leveraging digital technologies, educators can improve the assessment process, ultimately contributing to a more effective and successful teaching and learning experience.
Forecasting Agricultural Business Development based on Seasonal Demand using Machine Learning Techniques
Authors: P D Mahendhiran , V Aakash , S Arees Muhmmed , S Rithanya , S Varun
Published: August 2024

Agriculture, humanity's foundational activity, encompasses a rich tapestry of practices essential for sustaining life on our planet. From the cultivation of crops and the rearing of livestock to the management of forests and fisheries, agriculture stands as the bedrock of food production, economic development, and environmental stewardship. Across cultures and civilizations, agriculture has played a pivotal role in shaping societies, landscapes, and livelihoods, fostering connections between people and the land they cultivate. In the contemporary world, agriculture faces a myriad of challenges, from population growth and climate change to resource scarcity and ecology degradation. In light of the growing global population, surpassing 8.1 billion people, and climate change alters weather patterns and exacerbates extreme weather events, the pressure on agricultural systems to produce more food while conserving natural resources and mitigating environmental impact has never been more acute. Through the analysis of datasets sourced from the Government of India, encompassing critical factors such as pH, temperature, rainfall, humidity, and NPK substance, the study aims to provide actionable insights for agricultural stakeholders. At the heart of the project lies the recognition that informed decision-making is essential for driving efficiency, resilience, and profitability in agricultural operations. By empowering stakeholders with data-driven predictions and informed strategies, the project aims to enhance agricultural business development, enabling farmers, policymakers, and other stakeholders to make more informed choices. Whether it's optimizing crop selection, improving resource allocation, or mitigating risks associated with climate variability, the project endeavors to provide tools to the stakeholders and managing the complexities of modern life requires knowledge and experience agriculture. The predicted accuracy is 99.69%.
Image Captioning: A Survey on its methods and Implementation.
Authors: Ramasamy Radhakrishnan Thirrunavukkarasu , Thangaraju Arun , Jayakumar Aravind , Sundaramoorthi Dharanash , Gurusamy Kishore
Published: August 2024

This literature review aims to navigate the vast landscape of image captioning, an interdisciplinary field that lies combining natural language processing and computer vision. We start with a detailed examination of the CNN-to-Bi-CARU model, an attention-based bidirectional architecture for comprehensive contextual information extraction. The application of this model in image captioning therefore necessitates detecting image features and objects, and identifying them precisely. Attention mechanisms are important for securing precise matching regarding changes in focused content during caption generation. The efficiency concerns have been highlighted by the CNN-to-Bi-CARU model that has taken less time in coming up with images during inference. Stability is acknowledged even as improvements are proposed for a perfect BDR-GRU system. The experimental phase investigates different loss functions and optimizers leading to selecting cross-entropy as a loss function and Adam optimizer to achieve BLEU-4 metrics and better accuracy. The introduction of a new framework allows for the estimation of significant regions in images. The approach relies on image captioning, which incorporates semantic information while estimating important regions on basis of subject and object words contained in those captions. Experimental results confirm that the technique can estimate important regions with sensitivity rivaling human perception. In regard to remote sensing image captioning, this exploration ends up with an encoder-decoder model. Instead of traditional token generation, the model supports continuous output representations, using a proposed loss function to optimize semantic similarity at sequence level. This novel way may have a great impact on language generation in the context of remote sensing imagery. Viewing the diverse methods that were explored, problems that have been identified and inventions that have been realized, this paper provides an overview of the landscape and a call for further research. The importance of stability and loss functions in this emerging area emphasizes it’s dynamic nature, which portends improved image captioning. In conclusion, the present proposal presents an overview on what the field is currently experiencing thus serving as a basis for more improvement and exploration in image captioning which is considered fascinating.
Analysis of METIS graph partitioning algorithms for trust and recommendation systems
Authors: Bayana Mohith Siva Sai , Liyons Liz Maria , M Geetha
Published: August 2024

In the era where social media and technology intersect, the vast user base of social networks presents a challenge in handling massive data. The issue intensifies when making user suggestions amidst the overwhelming data flow. This analysis addresses the complexities arising from the abundance of data in social networks and proposes a solu- tion through advanced graph partitioning techniques, focusing on algorithms from promi-nent libraries like DGL and PyTorch. This analysis compares three graph partitioning algorithms for social network analysis: DGL METIS (edge-balanced and node-balanced), and PyG METIS. We analyze their performance on the Epinions social recommendation dataset, focusing on edge based and node based metrics and visualization of partitions.Our findings reveal: PYG METIS consistently exhibited suboptimal performance across various evaluation metrics, with the exception of achieving satisfactory results in node balance. Conversely, DGL Node Balanced METIS demonstrated marginally superior outcomes compared to DGL Edge Balanced METIS in terms of edge loss and average edges per partition and surpassed it in node balance.
Speech Emotion Recognition Using LSTM and MFCC features
Authors: Kari Arun , Muthuraman Nandhini , R Sasirekha
Published: August 2024

Speech is utilized in human-machine connection and serves as a signal of human involvement. The Speech Emotion Recognition (SER) system is a novel form of this interactive system. Sufficient intelligence is provided by the SER to facilitate effective human-computer interaction. Based on the speaker's words, the SER system classifies emotions into groups such as "neutral," "calm," "happy," "sad," "angry," "fearful," "disgust," and "surprise." Languages and machine learning models suitable for SER are defined in this paper. Deep learning is used by this system to effectively classify and learn from multidimensional data. Primary results for a system using the LSTM algorithm and MFCC feature tools are also presented in this work. For the simplicity of user engagement, we have then implemented this model as a website through the usage of a third party.
Design and Simulation of Non-Inverting and Inverting Mixed Logic 2x4 Decoder Using Mentor Graphics 16nm Technology
Authors: R Mahesh Kumar , Balla Sai Lokesh Reddy , Mandla Ramesh , Rathnammagari Manoj , Mekala Raghava
Published: August 2024

Power reduction is one of the major development challenges of this period. In high performance digital frameworks, such as microchips, DSPs, and other applications, low power circuit designs are a requested feature. The primary factors taken into account when comparing any circuit or design are power and speed. When proposing any new design, designers should keep in mind the very impressive but declining chip area. 2x4 Decoder Binary inputs are converted to associated output bits in a pattern using 12 T. A new 2x4 decoder In this work, area optimization with the use of 12T is suggested. The 2:4 decoder is also executed using CMOS logic. The new design and CMOS logic are evaluated in terms of delay and power. Compared to CMOS logic architecture, which typically operates at 0.8V, the new 2x4 decoder design is optimized for power at a rate of 60.72%. PMOS of width (Wp)=64n& length(Ln)=16n,NMOS of width (Wn)=32n & length (Ln)=16n,Fan-out=1, and Wp/Wn=1, after that the designs are assessed at 0.8V with 16nm Mentor Tanner Tool has been used to validate the suggested procedure.
Optimal Optimizer for Kidney Cut Prediction
Authors: M Sadique , S Sanjay Kanth , Franklin Ramya G
Published: August 2024

Kidney abnormality is one of the major concerns in modern society, affecting millions of people worldwide. To diagnose different kidney abnormalities, a narrow-beam X-ray imaging procedure called computed tomography is commonly used, creating cross- sectional slices of the kidney. Deep learning models have shown promise in classifying and segmenting kidney abnormalities from these CT images. However, these models often present challenges for clinicians in interpreting their decisions, leading to a "black box" system. In response to this issue, this study proposes a transfer learning technique for the detection of kidney cysts, stones, and tumors. With improved results and enhanced interpretive power, the proposed work empowers clinicians with conclusive and understandable outcomes. ⁠Furthermore, this research delves into the selection of the optimal optimizer for kidney abnormality prediction. The study performs a comprehensive performance evaluation of three popular optimizers - Adam, Adadelta, and AdamW - on coronal and axial abdominal and program images. The findings shed light on the most suitable optimizer, ensuring better training and generalization of the transfer learning model. Finally Leveraging the Flask framework, the developed web application enables seamless and efficient prediction of kidney abnormalities, potentially revolutionizing the clinical decision-making process and enhancing patient care.
Integrated Remote Power Control System for Conserving Energy in IOT
Authors: M Sindhuja , Mandal Abhirup , Singh Devaditya
Published: August 2024

The Integrated Remote Power Control System (IRPCS) represents a breakthrough in intelligent energy management by leveraging Internet of Things (IoT) technology to enhance power efficiency and sustainability. This innovative system utilizes a combination of Arduino microcontrollers, Wi-Fi modules, and advanced sensors, including PIR for motion detection and ambient light sensors, to monitor and optimize electricity usage across various environments. By enabling real-time control and monitoring of electrical devices by the user, IRPCS significantly reduces energy wastage and operational costs, while promoting environmental conservation. Its scalable and adaptable framework ensures it is suitable for both residential and industrial applications, offering a versatile solution to the modern challenges of energy management. IRPCS stands at the forefront of energy innovation, embodying the potential of IoT to transform power consumption patterns towards a more sustainable and efficient future.
UAEH en la economía del conocimiento
Authors: Raesfeld Lydia , López Sócrates
Published: August 2024

Hoy, más que nunca, la clave del desarrollo radica en el conocimiento. El crecimiento económico, la preservación del medio ambiente natural y, sobre todo, el bienestar integral de nuestras sociedades y la buena formación de las nuevas generaciones, dependen de la capacidad para generar, transmitir y aprovechar el conocimiento. Se trata de un nuevo paradigma del desarrollo que, como ningún otro, exige la concurrencia y colaboración de muy diversas instituciones y organizaciones, entre las cuales las universidades juegan un papel fundamental
Una teoría de la precariedad del trabajo Marco analítico de la teoría de la inexistencia del mercado de trabajo
Authors: Rodriguez Juarez Eduardo , Gaona Rivera Elias
Published: August 2024

El propósito del presente texto es analizar las causas que explican la precarización de las condiciones de trabajo en un contexto de competencia perfecto, plena descentralización y propiedad privada. Se pretende mostrar que la precarización laboral y el resultado de la propia dinámica de los mercados, es decir, coexisten con su funcionamiento eficiente y no son resultados de rigidez en el sector laboral. El problema de investigación se origina a partir de la concepción obtenida sobre el trabajo, por lo tanto, la manera de explicar sus elementos y consecuencias en el devenir de la sociedad capitalista.
PRELIMINARY MONITORING OF WATER QUALITY AT BANTURUNG VILLAGE, BUKIT BATU DISTRICT, PALANGKA RAYA CITY
Authors: Angga Stevin Carolius , Rahman Sudarman , Toepak Erwin Prasetya , Patrix Ferry
Published: August 2024

Water is a vital necessity for human and living things in general. It is undeniable that the decline in water quality today is the result of human activities that overexploit the environment. People's lifestyles that pay less attention to environmental aspects such as throwing garbage out of place, disposing of hazardous waste, and changing the function of forest areas that can increase the potential for erosion and often cause sedimentation at the bottom of the waters have a negative impact both directly and indirectly on the natural environment, especially water sources. High rate of forest degradation and deforestation has a significant impact on changes and decreases in water quality. In this study, water quality monitoring was conducted using several parameters as an initial step to understand the condition at the Dam and Clean Water Facility in Banturung Village, Bukit Batu District, Palangka Raya City. The results obtained from the analyzed parameters include odorless, pH 5.9, turbidity 1.0 NTU, temperature 28.1 °C, color 3.63 TCU, total dissolved solids (TDS) 10.2 mg/L, nitrate (NO3-) 0.608 mg/L, nitrite (NO2-) 0.002 mg/L, iron (Fe) 0.038 mg/L, and manganese (Mn) 0.006 mg/L.
IMPROVING SEAL VERIFICATION SECURITY AND TRANSPARENCY USING BLOCKCHAIN TECHNOLOGY
Authors: Tsai Hsin Chun
Published: August 2024

In recent years, the security and transparency of seal verification processes have become increasingly important, especially in the context of digital transactions and document authentication. This paper explores the potential of blockchain technology to enhance the security and transparency of seal verification processes. By leveraging the decentralized and immutable nature of blockchain, seal verification can be made more secure, tamper-proof, and transparent. This paper provides a detailed analysis of the key factors influencing the implementation of blockchain technology in seal verification processes, with a focus on enhancing security and transparency. The study also examines the challenges and limitations associated with the integration of blockchain technology in seal verification and proposes potential solutions to overcome these obstacles. The findings of this research highlight the significant benefits of using blockchain technology in seal verification, including improved security, enhanced transparency, and increased trust in digital transactions and document authentication.
ANALISIS KUALITAS AIR SEBAGAI INDIKATOR PELABUHAN PERIKANAN BERWAWASAN LINGKUNGAN DI PPN MUARA ANGKE
Authors: Liana Lina , Jabbar Meuthia Aula , Nurhudah Moch
Published: August 2024

PPN Muara Angke adalah salah satu sentral perikanan yang memenuhi kebutuhan ikan Provinsi DKI Jakarta dan wilayah sekitarnya. Kegiatan perikanan, pembuangan limbah cair langsung ke kolam pelabuhan dan adanya sampah di kolam pelabuhan, apabila terus dibiarkan dapat menimbulkan penurunan kualitas air. Penelitian ini bertujuan untuk menilai kualitas air di pelabuhan sebagai salah satu indikator pelabuhan perikanan yang berwawasan lingkungan (eco-fishing port). Data kualitas air diambil dua kali pada bulan Oktober dan Desember 2023 pada 4 stasiun. Parameter kualitas air yang diukur secara in situ adalah salinitas, kecerahan, suhu, keberadaan sampah dan lapiran minyak. Selanjutnya parameter TSS, amonia total (NH3-N), surfaktan, raksa (Hg), kadmium (Cd), timbal (Pb) dan total coliform diukur di laboratorium PT. Unilab Perdana. Data kualitas air hasil pemeriksaan dibandingkan dengan baku mutu air laut untuk pelabuhan perikanan yang mengacu pada Peraturan Pemerintah Nomor 22 Tahun 2021. Penghitungan Indeks pencemaran bagi peruntukan air (Plj) mengacu pada Keputusan Menteri Lingkungan Hidup No. 115 Tahun 2003. Hasil survei parameter yang sesuai dengan baku mutu adalah TSS, suhu, salinitas, pH, surfaktan, raksa, kadmium, timbal dan total coliform sedangkan yang telah melebihi baku mutu adalah kecerahan, lapisan minyak, sampah dan amonia total. Hasil penghitungan indeks pencemaran berkisar 1,054-2,645 yang berarti termasuk dalam kategori tercemar ringan sehingga PPN Muara Angke perlu melakukan perbaikan agar dapat dinyatakan sebagai pelabuhan perikanan berwawasan lingkungan.
Kata kunci: Eco-fishing port, indeks pencemaran, kualitas air
Students’ Silence in EFL Classroom: Contributing Factors and Identities
Authors: Rahmi Rahmi
Published: August 2024

Investigating the issue of students' silence is essential since it is considered to discourage students from actively participating in the teaching and learning process. Students’ silence has been investigated from a variety of angles. Nonetheless, there has not been any discussion of EFL students' silence regarding their identities in the Indonesian context yet. Therefore, this study aimed to investigate the factors that influenced the students’ silence in the EFL classroom and the identities that they constructed during the period of silence. To reach the objectives, a qualitative approach was employed. Five students studying English in an English skill class at a university in Aceh participated in this study. The data were collected through classroom observations and semi-structured interviews. The results of this study show that four factors influenced the students’ silence, including being threatened with the presence of classmates or lecturers, being in a too silent class, a lack of comprehension of the studied material, and a lack of confidence. Furthermore, the findings also reveal that the students formed multiple identities during the period of their silence in their EFL classes. The identities underwent development, shaping, and reshaping. This study provides a new insight that, beyond their silence, the students actually actively constructed their multiple identities.
Organisasi NW dan NWDI dalam Bingkai Ukhuwah Nahdiyyah (Studi Sosial Kultural Pada Masyarakat Lombok)
Authors: Armawan Armawan , Winda Winda , Ansori Muhammad Zainul , Jayadi Edi Muhammad , Nurhilaliati Nurhilaliati
Published: August 2024

Penelitian ini dilatarbelakangi dengan polemik pendirian organisasi baru dengan nama Nahdlatul Wathan Diniyah Islamiyah (NWDI). Tujuan dari penelitian ini adalah untuk mengetahui kenapa organisasi NW terbagi menjadi dua kubu, ingin mengetahui bagaimana respon masyargakat NW terhadap organisasi NWDI yang didirikan di Pancor dan bagaimana Organisasi NW dan NWDI dalam menerapkan Ukhuwah Nahdiyyah. Penelitian ini menggunakan pendekatan kualitatif dengan teknik deskriptif, yang bertujuan mendeskripsikan hasil penelitian di lapangan. Data yang dikumpulkan berupa kata-kata atau gambar, bukan angka atau statistik. Metode deskriptif ini menjabarkan situasi apa adanya mengenai konflik atau keadaan dari temuan di lapangan. Pengumpulan data dilakukan dengan observasi, wawancara dan dokumentasi . Hasil penelitian menunjukkan bahwa Ketika hasil mukhtamar menetapkan Ummi Raehanun sebagai PBNW, pihak Pancor tidak menyetujui ketetapan tersebut dengan alasan bahwa "perempuan tidak boleh dijadikan pemimpin" berlandaskan mazhab Imam Syafi’i. Akibatnya, terjadi percekcokan dan pertikaian antara kubu Ummi Raehanun dan kubu Ummi Rauhun. Ummi Raehanun kemudian berpindah ke Kalijaga untuk melanjutkan perjuangan Maulana Syaikh selama 2 tahun, sebelum akhirnya pindah lagi ke Anjani sampai sekarang. Respon masyarakat NW terhadap organisasi NWDI yang didirikan di Pancor adalah bahwa organisasi tersebut berdiri tanpa persetujuan PBNW yang sah, berbeda dengan NWDI yang merupakan lembaga pendidikan. Sementara itu, NWDI di Anjani juga adalah lembaga pendidikan. Kedua organisasi, NW dan NWDI, berjalan sesuai visi dan misinya masing-masing, meskipun merupakan entitas yang berbeda. Pesan dari TGB. Dr. H. Muhammad Zainul Majdi adalah bahwa NWDI adalah tempat untuk ber-NW melalui organisasi, sedangkan NW adalah risalah perjuangan. Organisasi NW dan NWDI sama-sama menjalankan urusan agama dan kemaslahatan umat. NW saat ini menerapkan Ukhuwah Nahdiyyah melalui silaturahmi, gotong royong, dan lain sebagainya. NWDI juga menerapkan Ukhuwah Nahdiyyah dengan menekankan ajaran Maulana Syaikh dalam pesan-pesan moral. Kedua organisasi ini menekankan pentingnya persahabatan, kesopanan, dan keramahtamahan, serta menolak perpecahan. Organisasi NWDI berusaha menunjukkan kepada masyarakat bahwa NWDI adalah organisasi yang didirikan baru-baru ini, sehingga tidak ada kebingungan mengenai keberadaan dua organisasi NW. NWDI selalu menjaga kecintaan yang mendalam kepada Maulana Syaikh, sehingga Ukhuwah jamaah terbangun dengan sendirinya tanpa memandang golongan apapun.
EDUCAÇÃO INCLUSIVA: CONCEITO, DESAFIOS E PERSPECTIVAS PARA UMA EDUCAÇÃO DE QUALIDADE PARA A TRANSFORMAÇÃO SOCIAL
Authors: SILVA OMAR DOS ANJOS
Published: August 2024

O presente trabalho tem o objetivo de apresentar a abrangência da educação inclusiva no Brasil que se encontra em um momento de grande transformação, marcada por avanços significativos, mas também por desafios persistentes, possuindo um marco regulatório robusto, com destaques para a Lei de Diretrizes e Bases da Educação Nacional (LDB) que consagra o direito à educação para todos, independentemente de suas diferenças, e a Lei Brasileira de Inclusão (LBI), que define diretrizes para a inclusão de pessoas com deficiência em todos os aspectos da sociedade, incluindo a educação. A trajetória da Educação inclusiva no Brasil é marcada por uma série de marcos legais e históricos que moldaram sua construção, avanços e desafios através do pioneirismo e reconhecimento internacional em 1954 com a criação da primeira escola pública especial no Brasil, o Instituto Pestalozzi, em São Paulo. O preconceito racial e étnico e enraizado na sociedade brasileira perpetuando a marginalização e a violência contra grupos minoritários. A educação inclusiva está presente na política educacional brasileira desde a década de 1990, porém a falta de infraestrutura adequada nas escolas oriunda de acessibilidade física, recursos pedagógicos adaptados e profissionais capacitados. A conquista da educação pública no Brasil foi um processo árduo e contínuo, marca pela luta incansável de diversos movimentos sociais.
A EDUCAÇÃO INCLUSIVA NA POLÍTICA EDUCACIONAL BRASILEIRA: CONTEXTO HISTÓRICO, POLÍTICO, AVANÇOS E DESAFIOS
Authors: QUEIROZ NELMA HELENA FERREIRA DA SILVA DE
Published: August 2024

A educação inclusiva, enquanto princípio e prática pedagógica, é uma dimensão essencial na construção de uma sociedade democrática e equitativa. Desse modo, este artigo objetiva traçar um panorama histórico e político da educação inclusiva no Brasil, analisando seus avanços e recuos ao longo das décadas. Questionou-se como as políticas educacionais brasileiras podem ser efetivamente implementadas para garantir uma educação inclusiva de qualidade, que atenda às necessidades diversas dos alunos com deficiência e promova seu pleno desenvolvimento acadêmico e social, superando os desafios estruturais e culturais existentes? Foi feita uma abordagem qualitativa a partir de revisão de literatura e análise documental de políticas educacionais brasileiras voltadas para a inclusão. Verificou- se que a implementação efetiva das políticas educacionais inclusivas no Brasil requer um comprometimento duradouro com a equidade e a justiça social, visando não apenas a inclusão de alunos com deficiência nas escolas, mas também a construção de uma sociedade mais inclusiva e igualitária
Quadrilaterals hierarchical classification and properties of the diagonals: A study with pre-service mathematics teachers
Authors: Cybulski Fernanda Caroline , Oliveira Hélia , Cyrino Márcia Cristina de Costa Trindade
Published: August 2024

The aim of this research is to investigate the main characteristics of the processes of constructing a hierarchical classification of quadrilaterals and identifying properties of their diagonals by pre-service middle and secondary school mathematics teachers (PMTs), when involved in whole-class discussions with the teacher educators, after having solved tasks focused on those topics. Data collection comprised video recordings of the sessions and PMTs’ written work, analyzed qualitatively. Findings indicate that constructing the hierarchical classification of quadrilaterals involved the PMTs in prototypical judgments, and dichotomous comparisons. In comparison the identification of the diagonals’ properties was influenced more by definitions and logical relationships, reflected in judgments and comparisons. It was concluded that participation in these processes, with whole-class discussions and development of schemes to illustrate inclusion relationships, may assist PMTs with prototypical phenomenon and dichotomous comparisons, benefiting their future teaching practice.