bluuebunny/crossref_metadata_2025 huggingface dataset:
Memes on Trial: From Permit Patty to Karen
Authors: Lawrence Heather
Published: October 2024

This paper articulates a theory of Black complaint by engaging feminist theories of complaint and Black critical theories of visuality. It focuses on the late 2010s viral video trend of alliteratively nicknamed White women (e.g., “Permit Patty,” “Cornerstore Caroline”) calling the police on Black people and the later Karen meme. Connecting these memes to Simone Browne’s (2015) concept of dark sousveillance, the paper shows that, rather than simply rendering Black people out of sight of the White gaze, the Karen and Permit Patty memes instead place Whiteness and White supremacy on trial by creating a visual archive that legitimizes the testimony of Black individuals living in a climate of anti-Blackness. This paper argues that these memes, viral videos, and the Black online counterpublics that circulate these images comprise an important register for Black grief and activism and suggest an alternative form for demanding redress for Black injury outside the American criminal justice system.
The Temporalities and Spatialities of Death, Dying, and Heart Donation
Authors: Shildrick Margrit
Published: October 2024

Contemporary biomedical technologies surrounding deceased organ transplantation raise urgent issues regarding the temporalities of the living and the dead, the disturbance of distinctions between self and other, and the question of absence and presence.  There is no simple and stable futurity, but rather a host of ontological, epistemological, and ethical issues that trouble both organ recipients and donor proxies. My claim is that heart transplantation in particular marks a fluid assemblage and intertwining of self and other at both the biological and ontological level, where personal identities and the conventional limits of life and death are deeply problematized.  Nonetheless, those disturbing and inescapable challenges to conventional binaries are rarely explored within the authorized narrative of the clinic.
Troubling Transplant Temporality through Crip Technoscience and a Sensory Aesthetics of Time, Machine, and Health
Authors: Berkhout Suze , Fritsch Kelly , Keeley Brian , Keeley Bibo
Published: October 2024

Taking up technologies that act as a “bridge” to transplant, we explore what the lifeworlds of a transplant patient and their loved ones interacting with these technologies tells us about the temporality of transplantation and the imperative of cure.By engaging with clinical literature and practices, transdisciplinary crip technoscience theorizing, and multimodal, multisensory artistic form, we bring together sick and disabled people’s expertise and diverse ways of knowing that enable a rich and nuanced exploration of transplant time that complicates biomedical expertise while at the same time recognizes its embrace as one with opportunity and potential for care and collaboration. In troubling transplant temporality through crip technoscience and a sensory aesthetics of time, machine, and health, we demonstrate how perspectives often excluded or minimized in acute care offer innovative ways in which to think through the material limitations of taken for granted understandings within transplant settings.
Introduction: Undoing and Unfolding Temporal Modes of Transplantation
Authors: Frankel Alexandra Vieux , Fritsch Kelly , Berkhout Suze
Published: October 2024

Transplant medicine is frequently hailed as a pinnacle of biomedical achievement. Curative imaginaries in the field often situate transplant as a cure and a return to health, producing bifurcated temporalities of before and after transplant and proposing futures that erase disability and disabled bodies. This Special Section centers the frictions in transplant temporalities, offering examinations of how transplant troubles the binaries of life and death, self and other, and illness and health through attending to frictions of futures and cure in transplant medicine. We question how new technologies perpetuate, exacerbate, and complicate the promises of curative imaginaries in transplant medicine; interrogate tropes and technologies of transplant as destination; trace practices of inequitable access to transplantation and livable futures; foreground transplant’s looping, haunting temporalities; and introduce more-than-human lessons and the necessity of imagining collective futures. Developed with attention arts-based and experimental ways of knowing transplant through a feminist STS and critical disability studies ethos, this Special Section invites the undoing and unfolding of conventional, harmful logics of transplantation.
The Role of Green Risk Management Approaches in Promoting Green and Sustainable Supply Chain Management
Authors: Hu Xinhua , Sinniah Suguna
Published: October 2024

This study assesses how advanced technologies like AI, blockchain, and big data facilitate green risk management in the automotive and electronics industries in the EU. When applied to environmental risk assessment, green purchasing, and eco-design activities, these technologies will optimize Economies of Scale (EoS) and contribute to advancing GSSCM in companies. This review uses systematic literature review and thematic analysis and focuses on using various peer-reviewed sources to understand how these technologies support GSSCM and also reveal gaps and challenges such as the integration of innovative waste disposal technologies and sustainable partnership schemes. Research proves that actual assessment of environmental risk is possible through the implementation of AI in risk assessment; On the other hand, blockchain makes sustainable procurement and reverse logistics more transparent. Thus, some problems like high costs, limited time, and problems with the alignment of stakeholder goals remain. It is recommended that these gaps be overcome by innovating, partnering with industries, and implementing policies that can further improve the position of information systems as the foundation of GSSCM. Thus, policymakers have been urged to explore options like grants or subsidies in an attempt to promote the adoption of these technologies as a way of creating a circular economy. Consequently, this research offers insights that may be beneficial for industry managers and policymakers seeking to improve sustainability within the EU automotive and electronics sectors.
EXPLORATION OF THE IMPLEMENTATION PATH OF IDEOLOGICAL AND POLITICAL EDUCATION IN THE CURRICULUM BASED ON DEEP LEARNING THEORY AND TARGET MAP
Authors: Yi Haibo , Lin Weipeng , Qu Tao , Deng Weiping
Published: October 2024

The integration of "knowledge impartment," "ability cultivation," and "value guidance" in vocational colleges hinges significantly on the implementation of ideological and political education. This education forms the cornerstone for nurturing high-quality technical and skilled talents. However, the current practice of ideological and political education in vocational colleges faces several challenges. These include the tendency to merely replicate undergraduate-level educational models, the lack of clarity in talent cultivation values, the disconnection between ideological and political education goals and the curriculum, the insufficient scientific precision in goal setting, and the rigid incorporation of ideological and political education. To tackle these pivotal issues, it is imperative to conduct a comprehensive analysis of the value demands specific to industrial talents. Additionally, we should devise a scientifically structured, hierarchical, and categorized ideological and political target framework. Furthermore, we must explore the implementation pathway of ideological and political education grounded in deep learning theory. This entails enhancing the cognitive processes, fostering students' higher-order thinking and practical innovation skills, and reflecting the essence of industry-education integration within vocational education.Keywords: ideological and political education in curriculum; Vocational education; Deep learning theory; Target map; Value proposition
INTELLECTUAL PROPERTY PROTECTION OF SHARED CULTURAL HERITAGE THROUGH TRADITIONAL CULTURAL EXPRESSIONS (TCES) IN INDIA: MISSING LEGISLATIVE FRAMEWORK?
Authors: Chakraborty Amlan , Chatterjee Debalina
Published: October 2024

The discussion also occupies prominence in contemporary times with increased emphasis on rights of indigenous peoples occupying the centre-stage at International treaties at global forums such as the Indigenous and Tribal Peoples Convention (1989) (the fore-runner of the subsequent UN declaration of 2007 on indigenous peoples) , Universal Declaration of Human Rights (UDHR) , UN Declaration of the Rights of Indigenous Peoples (2007) . India has ratified the latter two instruments and remains duty-bound to fulfil its obligations there- under.The experiences of absence of legislation and its potential implication in Indian scenario along with policy prescriptions were yet to be documented in any scholarly writings and this paper intends to fill this gap. The general public as well as academic discourse in India pertaining to traditional cultural expressions/folk-lore in this aspect has been wholly muted, if not absent.
ANIMATING MEANING: A SEMIOTIC STUDY OF CULTURAL SIGNIFIERS ON INDIAN CHILDREN’S TELEVISION ANIMATION SERIES
Authors: M Viji
Published: October 2024

The animation industry in India is booming. It's creating an increasing number of animation programs to children. Although the majority of animations are originally made in Hindi, they are later translated into other Indian regional languages. Analyzing the cartoon series' content critically is crucial as ‘Children’ are watching these animation series. This study adopts Roland Barthes' semiotics to analyze the animated children's television series in India. Barthes suggests the death of the author/the creator of the text to witness the birth of the recipient allowing him to interpret, read, and produce a wide range of meanings which are a form of semiotic production that is oriented to observation an analysis of the media's messages and discussions to open the eyes of the semiotic researcher to the complexity of semiotic interpretation and new methods of using signs within the social and cultural context of the media. Applying Barthes' semiotics to television cartoons allows us to examine how meanings are formed, conveyed and understood within the cultural context of animated series. For this study, the researcher selected episodes from the three Indian animated television series Shiva, Rudra: Boom Chik Chik Boom and Selfie with Bajrangi. The Tamil dub versions of these animation series are analyzed here.
REJUVENATING THE PLACEMAKING POTENTIAL OF BLUE-GREEN INFRASTRUCTURE: LOHIA CANAL GREATER NOIDA
Authors: Singh Kamini , Kumar Bipasha , Verma Kanika
Published: October 2024

The blue-green network plays a vital role in conserving the urban ecosystem by acting as a sponge and absorbing climate extremes. In cities 70% of the precipitation is lost due to inefficient drainage systems. The network of urban water bodies plays a crucial role to retain this water, encourage groundwater recharge and to prevent flooding. However, the urban design and planning processes often neglect the diverse potential of the blue-green infrastructure and the adjoining buffer spaces along the drains, canals, and rivers.The research identifies the Lohia canal in Greater Noida as a potential pedestrian and cycle network, a social space, and an eco-sensitive zone for conservation of existing biodiversity and develops an applied research framework. The research methods are primary field studies, interviews, mapping, and photography along the 8 kms stretch of canal to identify issues associated with the negligence of the canal in urban settings. This study is utilized to develop an integrated vision for revitalization of three layers of canal that are – 1. the climatic resilience, 2. the urban ecology and 3. the social spaces. The scheme thus proposes intervention at the seven locations for placemaking and ecological restoration through a series of connected and integrated design interventions.
ALIGNING ARCHITECTURAL EDUCATION WITH SUSTAINABLE DEVELOPMENT GOALS: REFLECTIONS FROM GUJARAT, INDIA
Authors: Vasudeva Bhawana
Published: October 2024

Architects have always encountered challenges when designing structures for the built environment. However, over the past decade, there has been a realization that the focus needs to shift from basic design, construction, and structural issues to sustainability problems. These problems require an integrated, adaptive, and participatory approach. Architectural practice and education need to continually evolve to address technical and methodological innovations and to respond to the challenges and demands of achieving the Sustainable Development Goals (SDGs). Different approaches have been adopted worldwide to integrate various SDGs. Effective design pedagogies, methods, models, and initiatives have raised students' awareness of the sustainability implications of design and have been incorporated into architecture and planning curricula across the globe. This paper is based on the author's years of engagement in practice, research, teaching, and assessment of various subjects in the discipline of architecture and planning across India. Primary data was collected by knowing the perspective of students and teachers, the types of design assignments, and the professional experience of architects. Subsequently, the approaches to the implementation of SDGs in architecture and planning courses were mapped, analyzed, and compared. This paper provides an overview of the level of emphasis on SDGs in selected architecture institutes in India. It further analyzes the challenges and opportunities for architects, students, and teachers in the case of Gujarat state. Finally, it outlines some actions institutes can take to move forward with the implementation of the SDGs, contributing to the current state of knowledge.
Dihydroquercetin in the treatment of chronic inflammatory diseases and its significance for nursing practice and public health
Authors: Sokolov D. , Stepanov M.
Published: October 2024

The article examines the use of dihydroquercetin in the treatment of chronic inflammatory diseases and its significance for nursing practice and public health. It analyzes the biological properties, mechanisms of action, and clinical applications of dihydroquercetin. Special attention is given to the role of nurses in using dihydroquercetin for disease prevention, patient care, and rehabilitation. The article discusses the prospects of dihydroquercetin application in various fields of medicine and its potential impact on public health.
Gastritis and ulcer according to the calendar, whether it is possible to avoid exacerbation of the disease
Authors: Ivanyuk E. , Kutsenko V.
Published: October 2024

Discomfort in the stomach region is a familiar phenomenon for many people. Timely attention paid to these symptoms will prevent the disease of gastrointestinal tract organs. This is especially relevant in spring and fall, since it is in these periods of the year there is a significant increase in morbidity. In this regard, in the off-season, of particular importance is the prevention of gastritis and peptic ulcer disease - the most common diseases of the digestive organs. It is important to understand what measures can be taken to prevent the development of these diseases, their transition to a chronic form or the development of complications. As you know, prevention is primary and secondary. On its possibilities and will be discussed in our article.
The role and place of the nurse in personalized nanomedicine
Authors: Zhilinskaya K. , Vdoushkina E. , Povalyaev E.
Published: October 2024

Personalized nanomedicine is an innovative direction in the field of healthcare that successfully combines the advanced achievements of nanotechnology with the principles of an individualized approach to patient treatment. This direction involves the use of nanomaterials and nanostructures to create targeted therapeutic agents that can be adapted to the specific genetic, physiological and biochemical characteristics of each patient. For nurses, this means the need to adapt to new protocols for the care of patients receiving nanomedical treatment, the development of new methods for monitoring the condition of patients, prescribing medications and evaluating the effectiveness of therapy. In this article, we will look at the main aspects of personalized nanomedicine and their significance for the practice of nursing.
The Relationship between Parenting Patterns and Learning Independence on Learning Outcomes of Elementary School Science Content
Authors: Wijayanti Puput , Wulandari Desi
Published: October 2024

Problems in Grade IV of the Kartika Cluster State Elementary School, Blora Regency, show that science learning outcomes are still low. Based on interviews with teachers, it is hypothesized that factors that affect learning outcomes include Parenting and Learning Independence. The objectives of this study are: to examine the relationship between Learning Independence and science learning outcomes; to examine the relationship between Parenting Styles and science learning outcomes; to examine the relationship between Learning Independence and Parenting Patterns on students' science learning outcomes. This study uses a quantitative method with a type of correlation research. The results of the study showed: there was a positive and significant relationship between Parenting and Science learning outcomes with a contribution of 71.50%; there is a positive and significant relationship between Learning Independence and Science learning outcomes with a contribution of 70.80%; there was a positive and significant relationship between Parenting and Learning Independence together on students' science learning outcomes with a contribution of 73.10%. The conclusion in this study is that there is a positive and significant relationship between Parenting and Learning Independence on the learning outcomes of science students in Grade IV of the Kartika Cluster State Elementary School, Blora Regency. The suggestion in this study is that students are expected to be able to optimize the existing Learning Independence and Parental Parenting Patterns to improve learning outcomes.
A FORMAÇÃO DOCENTE PARA A EDUCAÇÃO ESPECIAL
Authors: Freitas Raquel Magalhães de , Brito Rosa Lilia da Silva , SILVA ROSA JUSSARA BONFIM
Published: October 2024

Este trabalho é um estudo com abordagem qualitativa e entrevista semiestruturadas, sobre a formação continuada dos professores da educação especial, com objetivo analisar e compreender a importância da formação continuada para atuar no processo de inclusão, nota- se que apesar dos avanços a inclusão dos alunos com necessidades especiais ainda enfrentam barreiras e desafios para serem perpassadas. Os materiais e métodos utilizados foram utilização de pesquisas em documentos como: artigos, revistas e livros, e em seguida a entrevista estruturada com cinco perguntas para três professores, os resultados fundamentais foram o quanto é importante o docente ter uma formação continuada para o aperfeiçoamento das suas práticas pedagógicas e a importância de as escolas estarem aptas para receber os alunos com necessidades especiais, com práticas de ensino voltadas para a educação especial é possível ter uma verdadeira inclusão e uma educação de qualidade, sendo necessário uma formação continuada
Peningkatan Kreativitas Menulis Cerpen Siswa MA Nurul Ichsan Melalui Penerapan AI dan Metode Mind Mapping
Authors: Hanan  , Moh. Ahsan Shohifur Rizal  , Kholik
Published: October 2024

This research aims to present alternative methods for learning literature and examine the potential for increasing students' creativity in writing short stories through the use of AI and mind maps.  This research uses qualitative research methods with action research methodology. This research design was structured in two cycles. First, observation and initial data collection through interviews and short story writing test I. Second, increasing knowledge and short story writing test through the use of AI and mind map techniques. The research results show that the use of mind map techniques can increase student creativity. By using this technique, students can improve their ability to generate ideas and concepts before composing a short story, so that the resulting narrative is better and more imaginative. The percentage increase reached 17.22%. Because this research utilizes mind map techniques and AI as learning media, this research has implications for increasing student motivation, excitement and involvement in the learning process. As a result, students understand the material studied better and the effectiveness of the learning process increases.
Gangguan Berbahasa Tokoh Dodo Rozak Pada Film Miracle in Cell No. 7 Versi Remake Indonesia Kajian Psikolinguistik
Authors: Nanda Purnama Ahmad Ri'i , Puput Kinanti Kingkin
Published: October 2024

This research is a study of the language disorder of the character Dodo Rozak in the Indonesian version of the film Miracle in Cell No.7. The research aims to describe explanations regarding how people with intellectual disabilities speak with their speech partners. The research uses qualitative descriptive methods. This language disorder analysis focuses on three branches of linguistics, namely phonology, morphology and syntax. In this study, the phonological aspect error data taken were words that experienced changes, deletions and replacements of phonemes in the film Miracle in Cell No. 7. Then the error data in the morphological aspect is a word that has an error in adding affixes. After that, syntactic aspect errors are data in the form of sentences whose structure does not match language rules. Data collection techniques use listening and note-taking techniques. The data analysis technique uses the matching technique where the basic technique uses the PUP technique (segregate the elements of panentu) and the advanced technique uses the HBB technique (connection of different comparisons).  The results of this research show that in the film Miracle in Cell No. 7 there are language errors in the form of phonological, morphological and syntactic errors.
Analisis Film Bayi Ajaib Karya Alim Sudio (Kajian Semiotika Charles Sanders Peirce)
Authors: Maharani Binta , Kurnia Rachman Anita , Sumarti Endang
Published: October 2024

Tujuan penelitian ini adalah untuk memperoleh gambaran objektif tentang penggunaan ikon,indeks dan simbol pada film. Penelitian pada film Bayi Ajaib karya Alim Sudio ini menggunakan pendekatan semiotika Charles Sanders Peirce. Data penelitian ini  berupa data verbal yang mencakup kata, frasa, dan kalimat serta data non verbal berupa gambar tentang ikon, indeks, dan simbol  dalam film Bayi Ajaib Karya Alim Sudio. Pengumpulan data dilakukan dengan menonton film, kemudian membuat transkip film, dan memberikan kode pada ikon (Ik), indeks (In), simbol (Sm). Teknik analisis data menggunakan model analisis interaktif Miles and Huberman. Berdasarkan hasil analisis data diperoleh temuan sebagai berikut. Pertama, penggunaan ikon dalam film Bayi Ajaib ini berupa kalimat yang mengandung imajinasi masa depan (Kita tidak akan pernah hidup susah lagi) dan gambar seperti ular mainan, jembatan, baju adat, bangunan, kamera  yang menggambarkan identitas budaya, memiliki kemiripan fisik dengan bentuk aslinya. Kedua, indeks dalam penelitian ini digunakan untuk membantu menciptakan ketegangan dan keterlibatan emosional dengan menghubungkan tanda-tanda dengan kejadian tertentu. Ketiga, penggunaan simbol dalam penelitian ini berupa ayam cemani, sajen, tengkorak sebagai simbol dalam kebudayaan jawa yang telah disepakati secara turun temurun
Southeast Asia and the Circular Carbon Economy: A Rapidly Developing Region
Authors: Wogan David , Luomi Mari , Yilmaz Fatih
Published: October 2024

This KAPSARC Discussion Paper examines six major Southeast Asian economies’ progress and potential on the road to net-zero emissions, or carbon circularity. It does so by using the technology-neutral approach of the circular carbon economy (CCE) and the CCE Index, developed at KAPSARC to operationalize this concept for use in country comparisons. Analyzing the 2023 CCE Index, the paper shows how, overall, the region scores slightly higher than the global average and much higher than the middle-income average on combined CCE Performance and Enablers scores. The region’s countries rank in the middle third of countries. Singapore, the only high-income country in the group, consistently scores well across dimensions. The region generally scores low on the more costly or less accessible CCE technologies, namely carbon capture, utilization and storage (CCUS), clean hydrogen and nuclear energy, and there is a need for increased access to sustainable finance, technology, and knowledge to supplement the lack of domestic creation through universities, the private sector, and R&D activities.
Are Automakers Overcharging Consumers for Electric Vehicle Batteries?
Authors: Sheldon Tamara , Dua Rubal
Published: October 2024

Vehicle electrification is a major component of many sustainability goals and frameworks. Research suggests that battery costs account for a large portion of the price premium for electric vehicles (EVs) relative to internal combustion engine vehicles (ICEVs) and that price parity, which will likely not occur until after 2030, will rely on decreasing battery costs.
Convolutional neural network-based emotion recognition using recursive feature elimination
Authors: Minh Tuan Nguyen  , Le Anh Dang Tran  , Tuan Anh Vu  , Duy Nguyen
Published: October 2024

Emotion detection plays a crucial role in fields such as biomedical applications, smart environments, brain-computer interfaces, communication, security, and safe driving. In this paper, we present a novel approach for detecting emotions using electroencephalogram signals. The method employs convolutional neural network (CNN) as the classifier, which is chosen from a variety of intelligent algorithms. Discrete wavelet transform is used to decompose the signals into four frequency bands including theta, alpha, beta, and gamma. These bands are then utilized for feature extraction. Out of a total of 1920 features, the recursive feature elimination algorithm based on random forest model combining with 5-fold cross-validation and the K-nearest neighbors model, selects the 720 most relevant features. The proposed algorithm is further validated on the selected feature subset using 5-fold cross-validation with CNN on the validation set. The results demonstrate the potential of this algorithm for emotion recognition.
Evaluation of a polyherbal tea infusion containing sorghum and avocado leaves in mitigating phenyl-hydrazine-induced anemia in rats
Authors: Oyeyemi OA  , Odesanmi EO  , Akinlua I  , Jesusanmi OD
Published: October 2024

Introduction: This investigation explores the effects of a polyherbal tea mixture on various physiological parameters, including inflammation, antioxidant activity, hematopoiesis, and lipid metabolism. The study aims to elucidate the potential health benefits of the polyherbal tea mixture in promoting overall well-being and mitigating risk factors associated with chronic diseases. Objectives: The primary objectives of this research are to study the Polyherbal Tea Infusion Containing Sorghum and Avocado leaves in Mitigating Phenylhydrazine-Induced Anemia in Rats. Methods: This study utilizes a phenylhydrazine-induced rat model to investigate the effects of the polyherbal tea mixture. Experimental groups include a control group, phenylhydrazine-induced group, sorghum tea treatment groups, avocado tea group, polyherbal tea group and standard tea-treated group. Various biological parameters, including Interleukin-6 (IL-6) and Interleukin-10 (IL-10) levels, Superoxide Dismutase (SOD) levels, White Blood Cell (WBC) count, Red Blood Cell (RBC) levels, Hemoglobin (Hb) concentration, Platelet (PLT) count, Triglyceride (TG) levels, Very Low-Density Lipoprotein (VLDL) levels, and Low-Density Lipoprotein (LDL) levels, are measured to assess the effects of the polyherbal tea mixture. Results: Significant outcomes are observed across experimental groups, particularly in comparison to negative controls and standard tea groups. The Polyherbal Group shows substantial modulation of IL-6 and IL-10 levels, indicating potential anti-inflammatory effects. Additionally, antioxidant enzyme activity, particularly SOD levels, exhibits notable variations, with the Sorghum Group displaying significantly higher SOD levels. Hematological parameters and lipid profiles are also impacted by the polyherbal tea mixture, suggesting potential immunomodulatory, hematopoietic, and lipid-modulating effects. Conclusion: The findings underscore the multifaceted benefits of the polyherbal tea mixture, including anti-inflammatory, antioxidant, immunomodulatory, hematopoietic, and lipid-modulating properties. The study highlights the potential of this functional beverage as a natural approach to promoting overall health and mitigating risk factors associated with chronic diseases, such as inflammation, oxidative stress, and cardiovascular diseases.
Sustainable business model innovation in the pre-owned footwear industry
Authors: Vincensia Serenade  , Intan Mustika Jati  , Natalin Yahya Nurfathin
Published: October 2024

The fashion industry is a dynamic sector with high consumer demand. However, it faces pressing environmental challenges. To address these issues, the implementation of sustainable business models is necessary. This research aims to identify sustainable business innovation strategies in the secondhand footwear fashion industry to increase consumer awareness and behavior towards environmentally friendly products. By using a case study of Sepatu Thrift Singapura by Lix as a digital fashion business, this research seeks to find creative ways to make this business more environmentally friendly, attract consumers, and optimize online sales. The results highlight the importance of innovative marketing strategies, sustainable supply chain management, and the utilization of digital technology.
Investigating the effectiveness of LSTM and deep LSTM architectures in solar energy forecasting
Authors: Chieu Hanh Vu  , Duc Hong Nguyen  , Trinh Hieu Tran
Published: October 2024

This study investigates the effectiveness of Long Short-Term Memory (LSTM) and Deep LSTM architectures in solar energy forecasting using real-world data. We compare these models based on Mean Absolute Error (MAE) and Root Mean Square Error (RMSE) metrics to assess their predictive performance. While Deep LSTM models show higher accuracy by capturing complex temporal patterns, they also demand greater computational resources. Hybrid models integrating LSTM with techniques like CNNs and Transformers demonstrate further improvements, achieving lower error rates. The findings highlight the trade-offs between model complexity and computational efficiency, providing insights into selecting suitable architectures for solar power forecasting. This research contributes to advancing deep learning techniques for renewable energy systems, enhancing their role in modern energy management.
Designing effective policy frameworks for the implementation of microgrids in developing countries: Opportunities, challenges and pathways to sustainable energy access
Authors: Chinonso Nwanevu  , Segun Samuel Oladipo  , Abidemi Obatoyinbo Ajayi
Published: October 2024

Designing effective policy frameworks for the implementation of microgrids in developing countries is crucial for advancing sustainable energy access. Microgrids offer a decentralized and resilient solution to energy challenges, particularly in regions with limited grid infrastructure. However, the successful deployment of microgrids requires a nuanced understanding of the opportunities, challenges, and pathways to integration within the unique contexts of developing nations. This study explores the key factors influencing the design and implementation of microgrid policies, including regulatory environments, financial incentives, and technological innovations. It highlights the potential of microgrids to enhance energy security, reduce carbon emissions, and support economic development. At the same time, it addresses the challenges related to financing, regulatory compliance, and the need for capacity-building in local communities. By analyzing case studies from various developing countries, the study identifies best practices and strategic recommendations for policymakers to create supportive frameworks that encourage the adoption of microgrids. The research underscores the importance of international collaboration, public-private partnerships, and adaptive policy mechanisms that can respond to the evolving needs of the energy sector. Ultimately, the study provides a roadmap for leveraging microgrids as a key component of sustainable energy strategies in developing countries, contributing to broader goals of energy equity, environmental sustainability, and economic resilience.
Association of Gougerot-Sjögren syndrome and pulmonary adenocarcinoma: A case report
Authors: Loubna Ajdir  , Meriam El Mouden  , Mohamed Ijim  , Oussama Fikri  , Lamyae Amro
Published: October 2024

Interstitial lung disease represents the primary pulmonary involvement in Sjögren's syndrome. A number of patients with Sjögren's syndrome develop a progressive fibrosing form of interstitial lung disease, but there is no data on the prevalence of such presentations. The incidental association of malignant tumors has been described independent of any therapy. We report a case of a patient with chronic interstitial lung disease at the fibrosis stage secondary to Sjögren's syndrome, in whom bronchoscopy incidentally revealed metastatic pulmonary adenocarcinoma.
Formation of a Gemcitabine (dFdC) Acquired Resistant BT 549 Triple Negative Breast Cancer Cells
Authors: Tawari Erebi Patricia
Published: October 2024

Triple negative breast cancer (TNBC) is an aggressive variant of breast cancer (BC). TNBC can develop an acquired resistance after repeated exposure to anticancer drugs, which remains a major hurdle for the success of chemotherapy. The relapsed TNBC is commonly pan-resistant to various drugs with completely different resistant mechanisms. Gemcitabine BT549 cells were developed from white-type cells. The acquired resistant cells were observed to show high resistance to Gemcitabine, in addition they were also found to be cross resistant to 3 anticancer drugs (Vincristine, Doxorubicin and Paclitaxel). These acquired resistant cell can be used as models to further study the various mechanisms of resistance in cancer cells.
PREDIKSI INFLASI BAHAN POKOK MENGGUNAKAN METODE REGRESI LINEAR
Authors: Ramadhani Muhammad , Homaidi Ahmad , Lutfi Ahmad
Published: October 2024

Tujuan Penelitian ini adalah untuk mengembangkan dan mengimplementasikan model prediksi inflasi bahan pokok di pasar tradisional di kabupaten situbondo menggunakan metode regresi linear. Fokus utama dari penelitian ini adalah untuk memahami dinamika harga bahan pokok dan faktor-faktor yang mempengaruhinya, serta memberikan alat prediktif yang dapat membantu pengambil kebijakan untuk mengantisipasi perubahan harga yang tidak menentu yang diprediksi akan terjadi. dengan mengumpulkan data harga bahan pokok dari aplikasi Sikepo.situbondokab.go.id dan mengidentifikasi harga bahan pokok yang dapat menyebabkan inflasi. proses metode regresi linear ini melibatkan pembagian data menjadi data untuk pelatihan dan data untuk pengujian untuk meningkatkan akurasi prediksi, Dengan pengujian ini diharapkan Menyajikan hasil prediksi dan membandingkannya dengan data aktual untuk menilai keandalan model. pengembangkan sistem prediksi ini dapat dapat digunakan oleh pemangku kepentingan untuk mengantisipasi inflasi bahan pokok. memberikan rekomendasi kebijakan berdasarkan hasil penelitian untuk menjaga stabilitas harga. penelitian ini diharapkan dapat memberikan kontribusi signifikan dalam bidang ekonomi dan kebijakan publik, serta membantu menjaga kesejahteraan masyarakat melalui prediksi inflasi yang lebih akurat dan tepat waktu.
Pengembangan Aplikasi Pejabat Pengelola Informasi Dan Dokumentasi Berbasis Website Menggunakan Framework Laravel Pada Dinas Komunikasi Dan Informatika Kabupaten Situbondo
Authors: Hermawan Eko Fendy , Homaidi Ahmad , Santoso Firman
Published: October 2024

Dinas Komunikasi dan Informatika Kabupaten Situbondo memiliki beberapa tugas pokok dan fungsi yang salah satunya adalah menyediakan Dokumen Informasi Publik. Dokumen tersebut merupakan informasi yang  wajib disediakan dan dapat diketahui oleh seluruh masyarakat sebagai bentuk transparansi pemerintah. Kebiasaan masyarakat yang telah berubah dari transaksi yang dilakukan secara luring kemudian menuju transaksi daring membuat Dinas Komunikasi dan Informatika Kabupaten Situbondo juga harus mengikuti kebiasaan tersebut sehingga layanan yang dihadirkan untuk masyarakat juga tersedia dan dapat dimanfaatkan secara daring. Berdasarkan hal tersebut maka diperlukan adanya aplikasi yang berbasis website yang dapat diakses secara mudah oleh masyarakat umum untuk mengakses maupun mengajukan dokumen informasi publik Pemerintah Kabupaten Situbondo. Aplikasi yang dikembangkan ini bertujuan untuk mempermudah masyarakat dalam mengajukan permohonan informasi publik yang mana masyarakat tidak perlu lagi harus datang membawa berkas pengajuan informasi publik ke kantor Dinas Komunikasi dan Informatika kabupaten Situbondo namun hanya perlu mengajukan secara daring dan Pejabat Pengelola Informasi dan Dokumentasi Pemerintah Kabupaten Situbondo akan mengirimkan dokumen yang diminta secara online. Harapannya dengan menggunakan aplikasi ini tingkat kepercayaan masyarakat terhadap Pemerintah khususnya Pemerintah Kabupaten Situbondo akan terus meningkat.
Data Mining IMPLEMENTASI K-MEANS CLUSTERING DALAM PENGELOMPOKAN DATA KUNJUNGAN WISATAWAN ASING DI PROVINSI JAWA TIMUR
Authors: Liyanto Edwin Wira , Homaidi Ahmad , Lutfi Ahmad
Published: October 2024

Tourism is one sector that is able to make a very significant contribution to the economy of a country, especially good tourism management can have a positive impact on the social and economy of a region. East Java is one of the natural tourist destination areas that attracts quite a lot of foreign tourists with its tourist attractions, traditions, culture and local wisdom which are the main targets for foreign tourist visits. Tourist grouping is carried out using Data Mining techniques applying the k-means algorithm, the analysis used uses the Knowledge Discovery in Database (KDD) method. By applying the K-Means clustering algorithm in order to cluster data on Foreign Tourist Visits (ASIA) to East Java via Juanda Airport for 2016 - 2023 taken from the official BPS East Java portal. From the data that has been processed, 2 clusters were found which produced the most optimal dbi value, namely 0.293 with cluster 0 containing 2 data, cluster 1 48 data.
KOMPARASI ALGORITMA K-MEANS DENGAN K-MEDOIDS DALAM KLASTERISASI WILAYAH RAWAN BENCANA DI KABUPATEN SITUBONDO
Authors: Pambudhi Ganang Aji , Homaidi Ahmad , Santoso Firman
Published: October 2024

Data dari Badan Penanggulangan Bencana Daerah Kabupaten Situbondo menunjukkan bahwa banyak bencana terjadi di Kabupaten Situbondo, baik yang disebabkan oleh alam maupun non-alam. Pemerintah dapat menentukan prioritas penanggulangan bencana dengan menggunakan hasil dari pembagian wilayah berdasarkan tingkat kerawanan bencana. Dengan menetapkan prioritas, sumber daya yang terbatas dapat dialokasikan ke wilayah yang paling membutuhkan. Dengan menggunakan pemodelan clustering, proses data mining dapat menggunakan data kejadian bencana untuk mengelompokkan daerah yang rawan bencana. Tujuan dari penelitian ini adalah untuk membandingkan pemodelan clustering daerah rawan bencana menggunakan algoritma K-Means dan K-Medoids, yang didasarkan pada data kejadian bencana dari tahun 2019 hingga 2023. Penelitian ini dilakukan dengan melihat hasil cluster dari kedua algoritma ini, menggunakan dataset yang sama dan jumlah cluster yang sama, yaitu tiga cluster. Hasil penelitian menunjukkan bahwa algoritma K-Means memiliki nilai indeks Davies-Bouldin (DBI) yang lebih baik (0.853) daripada K-Medoids (1.388). Hasil ini menunjukkan bahwa algoritma K-Means lebih efektif dalam mengelompokkan daerah Kabupaten Situbondo yang rawan bencana berdasarkan data kejadian bencana.
Kata kunci : Bencana, Data Mining, K-Means, K-Medoids, Clustering, Davies-Bouldin Index
Rancang Ulang Alat Destilasi Limbah Batang Pisang Menjadi Bahan Bakar Bioetanol Menggunakan Metode Reverse Engineering
Authors: Perdana Muhammad Bayu Tesri
Published: October 2024

Limbah batang pisang merupakan sisa dari aktifitas pertanian, limbah batang pisang mengandung kadar pati yang tinggi sekitar 76% sangat potensial dijadikan bahan baku bioetanol sebagai pengganti energi fosil sebagai penopang energi utama saat ini. Energi fosil yang jumlahnya semakin terbatas harus mendapatkan penggantinya yakni energi alternatif salah satunya bioetanol. Penelitian ini bertujuan untuk merancang ulang alat destilasi bioetanol dari limbah batang pisang. Metode yang digunakan pada penelitian ini adalah reverse engineering merupakan pengembangan suatu produk dengan mengekstrak informasi dari produk terdahulu agar mendapatkan produk yang lebi optimal. Hasil dari penelitian ini adalah sebuah alat destilasi yang memiliki volume sekitar 20liter dan menghasilkan bioetanol sekitar 8-10liter bioetanol dengan kondisi tabung reaktor penuh. Bioetanol yang dihasilkan memiliki kadar etanol (alkohol) sekitar 70-80% tergantung kualitas bahan baku serta lama waktu fermentasi.
Ideological Construction In Digital News Media: Discourse Surrounding The 2024 Election
Authors: Pontoh Sriwahyuni , Lantowa Jafar , Dewantoro Afandi Wisnu , Rahmat Nurnadela
Published: October 2024

The role of the media ahead of the 2024 election has become a polemic among society. One of them is caused by election coverage in the mass media which is different based on the ideology espoused by the media. This condition also has a tendency for similar patterns to occur in the elections that will be held in 2024. Various surveys have now emerged regarding strong candidates to become President of the Republic of Indonesia. This research employs critical discourse analysis research methods to reveal the ideology of each digital media that is the object of this research and its implementation in reporting the 2024 Presidential Election. The Critical Discourse concept that will be applied in this research is Theo van Leeuwen's exlusion and inclusion of social actions and actors framework. The results of the research show that the three digital dailies with the highest level of trust in Indonesia, kompas.com, cnnindonesia.com, and merdeka6.com, show varying views regarding the four main issues in their reporting. These differences reflect different ideologies.
Implementation of Portfolio Assessment on Tahsin Kitabah Teaching at Al-Hidayah Karangploso Boarding School
Authors: Fawzani Nurul , Zahro Fatimatuz , Fitra Muh. Naufal , Prayetno Eko
Published: October 2024

Differences in writing abilities between students encourage teachers to design or have special assessment tools to evaluate the development of their abilities. Al-Hidayah Islamic Boarding School applies portfolio assessment as an assessment instrument in the Tahsin kitabah subject. So, this research aims to determine the form of portfolio assessment used in Tahsin kitabah lessons, the steps for portfolio assessment, and their impact on tahsin kitabah learning at the Al-Hidayah Karangploso cottage. This research is qualitative descriptive research, where the data collection process is done through interviews and documentation. The data analysis goes through the stages of data collection, data reduction, data presentation, and conclusion. The results of this research indicate that the form of portfolio assessment used in the Tahsin kitabah subject at the Al-Hidayah Islamic Boarding School is an evaluative portfolio because it emphasizes assessment and reflection carried out in a formative and summative manner. The portfolio assessment steps in the Tahsin kitabah subject consist of three main stages. The preparation stage includes identifying learning objectives, explaining them to students, and clarifying portfolio components. The Implementation Stage involves teacher encouragement, discussion of learning progress, and continuous feedback. At the Assessment Stage, criteria are determined with students, applied consistently, and emphasize self-assessment. The impact includes teachers' in-depth understanding of students' writing abilities, increased motivation, self-confidence, and active learning participation. This shows that the implementation of portfolio assessment at the Al-Hidayah Islamic Boarding School has proven to be effective in achieving Tahsin kitabah’s learning objectives.
Semantic Analysis of Synecdoche Pars Pro Toto and Totem Pro Parte in Qs. al-Baqarah
Authors: Damhuri Damhuri , Ratni Bt. Hj. Bahri  , Akib Nasri
Published: October 2024

This article explores and analyzes the meaning of synecdoche, specifically, the forms pars pro toto and totem pro parte, as found in Surah Al-Baqarah. The study employs a qualitative approach, with the Quran as the primary data source. Data were collected using note-taking and free-listening techniques and were analyzed through the adoption of Lakoff's cognitive analysis technique. The findings reveal the presence of both pars pro toto and totem pro parte synecdoches in Surah Al-Baqarah. Examples of pars pro toto include references to parts of prayer (such as standing, bowing, dhikr, and prostration) representing the entire prayer, parts of the body (neck, hands, and face) representing the whole body, and parts of a place (Masjid al-Haram and Kaaba) representing the entire place. Conversely, examples of totem pro parte include references to the whole of a limb (finger) representing a part of it (fingertip) and the whole of a period (moon) representing a part of it (hilal). These findings contribute to a deeper understanding of the use of synecdoche in Quranic language, highlighting its role in enriching the textual and interpretive dimensions of the scripture.
Development of PDF Flipbook as Muhadatsah Learning Media for Students
Authors: - Shilla Rahmi , Kholisin  , Moh Fauzan
Published: October 2024

Innovation in educational media is crucial for enhancing students' interest and motivation, especially in Arabic language learning. The use of technology-based media is an appropriate choice because it aligns with the current advancements in students' learning environments. One such example is the Flipbook PDF. This research and development project aims to create a Flipbook PDF as a medium for muhadatsah learning and to describe the feasibility of the developed media. The method used is Research and Development with the ADDIE model, which includes five stages of development: analysis, design, development, implementation, and evaluation. The development results in an online-based Flipbook PDF accessible via a link. This Flipbook features 3 chapters aligned with the Kemenag curriculum for Arabic language learning in the second semester of Grade VIII. Each chapter includes vocabulary and examples of muhadatsah with audio, instructional videos, muhadatsah videos, and practice exercises. The material validation results show a score of 89.3%, and the media validation results show a score of 90.6%, both categorized as valid. Meanwhile, the media feasibility test on the subjects shows a score of 79%, categorized as fairly feasible. Therefore, it can be concluded that the Flipbook PDF is proven to be a suitable medium for muhadatsah learning for Grade VIII MTs students.