bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fan-Out Embedded Bridge with TSV (FO-EB-T) Package Solution for Enhancing HPC Application
Authors: Lin Steven , Ho David , Wang Yu-Po 
Published: February 2025

No one can deny we are definitely in Artificial Intelligence (AI) generation as it’s now immersing in all the necessities of our daily life, which effect and become every single part of our behavior. By accelerating the development of leading-edge assembly package combine with new generation high-bandwidth memory (HBM) that the speed can be even increased to 8Gbps, a much higher efficient AI chip can be achieved in enhancing the high-performance computing (HPC) application. Assembly of Fan-Out Embedded Bridge (FO-EB) chiplet package adopts organic interposer with embedding bridge die which can be aggressively replaced by silicon bridge die with through-silicon-via (TSV) technology to be named as FO-EB-T. This 3D packaging removes the silicon interposer with the benefit of cost effectiveness and directly connects chips with different functions in the form of TSV. The high performance accommodates reducing package height, enhancing design flexibility, shortening the chip transmission path to reinforce chip operation speed. Besides, in order to effectively integrate different functions and process chips to meet the needs of high computing power, low latency, and low power consumption for Server AI computing, Self-driving cars, Networking etc., not only to breakthrough in packaging technology, but the methods of connecting chips and even the material used to connect will be the focus of technology development. In this paper, the selectivity study in terms of the interface connection is covered in pathfinding. The workability with integrated passive device (IPD) added was evaluated to verify the electrical voltage stabilization for package of FO-EB with TSV. Also, the module bonding on substrate method requirement for large Chip Module (CM) was studied as well.
Popigai and Chicxulub craters: multiple impacts and their associated grabens
Authors: Klokočník Jaroslav , Cílek Václav , Kostelecký Jan , Bezděk Aleš 
Published: February 2025

Abstract. More advanced data (gravity field model EIGEN 6C4 including the GOCE gradiometry data instead of EGM 2008) and a more sophisticated method (using a set of gravity aspects instead of gravity anomalies and the radial second derivative of the disturbing potential only) enable a deeper study of various geological features. Improved techniques were applied to study the impact craters Chicxulub and Popigai. We confirm our results from 2010, extend them, and offer more complicated models, namely by means of the gravity strike angles. Both craters are interpreted to be double or multiple craters. The probable impactor azimuth was from NE (to SW) for Chicxulub and SE (to W) for Popigai. The formation of both the craters seems to be associated with impact-induced tectonics that triggered the development of impact grabens.
Immanuel Kant and a Second Slavery
Authors: van Gorkom Joris 
Published: February 2025

Abstract
Racism is a societal problem, which means that it should (also) be analyzed on an institutional, structural, and systemic level. When critiques of racism focus solely on particular beliefs, they overlook its broader manifestations. This article does not aim to ascertain Kant’s personal stance on race but rather to shed light on a blind spot in our own understanding of racism. It explores this through Kant’s endorsement of serfdom. We should not simply stay at the level of moral principles because Kant created a carve-out in his moral and legal philosophy for criminals, and the American version of this carve-out in the Thirteenth Amendment laid the groundwork for the racial American carceral system. This article seeks to illustrate that racism extends beyond beliefs, actively shaping societal structures. This helps us gain insights into how it has shaped contemporary society and institutions; that is, it helps us comprehend why racial disparities and inequalities persist in the present day.
Litteratursociologin och samhället
Authors: Pennlert Julia , Joelsson Erik 
Published: February 2025

The present study explores the relationships between sociology of literature and society through a meta-perspective influenced by the idiom of co-production hailing from the field Science and Technology Studies (STS). By focusing on events that precedes and follows the inception of the Department of Sociology of Literature at Uppsala University 1965 we trace and investigate how society and sociology of literature are mutually coproduced through changing discoursers, identities, institutions, and representations.
We can conclude, by studying these complex interplays between literature and society, that sociology of literature not only analyzes how literature is used, valued, and distributed in society but also contributes to the construction of knowledge about the societal implications of literature. Therefore, sociology of literature can be understood as contributing to creating its own research object by engaging in a reciprocal relationship with society and literature itself.
Through its examination of how literature reflects and influences societal structures, norms, and values, sociology of literature shapes its research focus by actively participating in and responding to societal discourses. This dynamic process of engagement with societal issues and cultural production allows sociology of literature to continually redefine and refine its research object, shaping the field's direction and priorities based on ongoing interactions with the broader social context.
Twitter sentiment Analysis Using Machine Learning
Authors:   Department of Information and Technology from Matoshri Aasrabai Polytechnic, Domade Ashwini S. 
Published: February 2025

abstract on page 1 With the development and expansion of web technology, a vast amount of data is generated and available to internet users, and the internet has evolved into a platform for online learning, idea exchange, and opinion sharing. Because they enable people to share and express their opinions on various topics, engage in discussions with various communities, or post messages globally, social networking sites like Facebook, Google, and Twitter are quickly becoming more and more popular. A lot of work has been done in the field of sentiment analysis of Twitter data, which is useful for analyzing the information in tweets where opinions are highly unstructured and heterogeneous and are either

This paper presents a survey and comparative analyses of current techniques for opinion mining, such as machine learning and lexicon-based approaches, along with evaluation metrics using various machine learning algorithms, such as naive bayes max entropy and support vector machine. Given the growth and advancement of web technology, there is a huge volume of data available on the internet for internet users, and a lot of data is generated too. In some cases, this data is neutral, positive, or negative. We offer data stream research on Twitter. Additionally, we talked about the basic difficulties and uses of sentiment analysis on Twitter keywords. Opinion mining machine learning using sentiment analysis on Twitter Maximum Entropy Support Vector Machine (SVM) naïve Bayes NB

Key Words: Twitter, Sentiment analysis (SA), Opinion mining, Machine learning, Naive Bayes (NB), Maximum Entropy, Support Vector Machine (SVM).
AI powered model for Oral-cancer Detection
Authors:   4,6Department of Electrical and Electronics Engineering, Malnad College of Engineering, Hassan, P K Pavan Kumar 
Published: February 2025

Oral cancer detection, a critical health challenge due to late-stage diagnoses, has seen significant advancements through the integration of both hardware and software technologies. The system, designed for the early detection of oral cancer, combines innovative hardware, such as robotic arms for assistive feeding, cost-effective control systems for industrial robotics using Raspberry Pi, and Io T-enabled devices for remote oral examinations, with advanced software solutions. These hardware systems utilize lightweight structures, motorized joints, stepper motors and precise motion control to enhance functionality in healthcare and industrial environments. For early detection, Machine Learning (ML) and Deep Learning (DL) techniques, including Convolutional Neural Networks (CNNs) and transfer learning models like VGG19 and InceptionNetV3, Res-Net and Dense-Net, have been employed to analyze medical images. Image processing methods such as GLCM, wavelet transforms, and CNN-based feature extraction improve classification accuracy, while optimization techniques like Fuzzy Particle Swarm Optimization (FPSO) and Artificial Bee Colony (ABC) enhance performance. The integration of these systems achieves high sensitivity, specificity, and precision, making them effective in early oral cancer detection. By combining advanced diagnostic technologies, the system offers a comprehensive approach that improves early diagnosis, enhances patient outcomes, and complements traditional methods.

Key Words: Oral Cancer, machine learning, early detection.
Milieudefensie/Shell: tussen verplichting en veroordeling
Authors: Faber M.J. 
Published: February 2025

Milieudefensie/Shell: tussen verplichting en veroordeling. Hoe het hof afdwaalde van de weg naar Parijs
In deze bijdrage bespreekt de auteur het arrest van het hof Den Haag inzake Milieudefensie/Shell, waarin het hof een individuele reductieverplichting voor ondernemingen aanneemt, maar niet komt tot een reductieveroordeling voor Shell. Het artikel legt een link met de praktijk en gaat in op wat dit arrest betekent voor de klimaatstrategie van (grote) ondernemingen.
Racial Trauma and Unconscious Racial Bias: A Combined Teaching and Reflective Practice Intervention
Authors: Paris Timothy , Almeida Borges Daniela S 
Published: February 2025

Differences in mental health outcomes for people from ethnic minority groups highlight the systemic barriers to accessing good-quality psychiatric care. Psychiatry trainees should understand the impact of structural inequalities and deliver equitable clinical care for all; this is in keeping with current curriculum requirements from the Royal College of Psychiatrists (RCPsych) in the United Kingdom. To address this curriculum requirement, as well as to explore barriers that trainees faced to discussing unconscious racial bias, a combined racial trauma lecture and reflective practice session was organised as part of mandatory psychiatric postgraduate training in a regional training scheme in England. It was delivered to ten psychiatry trainees, six of whom anonymously filled in a feedback form before and after the session. This measured, using a five-point Linkert scale, trainees’ self-reported understanding of racial trauma (improvement by 0.5 points) and their ability to integrate this into daily psychiatric practice (improvement of 1 point) before and after the session. It also revealed that trainees found the session useful, relevant, engaging, and appropriate for their level of training. Feedback from a previous reflective practice session highlighted some of the emotions (fear, discomfort, anger, guilt, and sadness) and barriers (topic sensitivity, uncomfortable feelings, fear of judgement, and time constraints) that psychiatry trainees face when discussing unconscious racial bias and inequality. The combined session illustrated that some of these barriers can be overcome alongside improving trainees’ confidence in understanding and applying concepts of racial trauma in clinical care. Furthermore, it emphasised the need to proactively create intersectional, anti-racist spaces where these issues can continue to be discussed, explored, and reflected upon.
DESENHO UNIVERSAL: ARQUITETANDO UMA EDUCAÇÃO PARA TODOS
Authors: Rocha Kleyton Holond de Lima , Marchesini Renato , Pereira Gêneses Soares , Caparroz Luis Humberto , Caparroz Luis Humberto , Malta Valéria Cristina 
Published: February 2025

Este estudo teve como objetivo analisar como o Desenho Universal para a Aprendizagem (DUA) pode ser aplicado para promover uma educação inclusiva e equitativa, garantindo o acesso de todos os estudantes ao processo de aprendizagem. A pesquisa teve caráter qualitativo e foi realizada por meio de uma revisão bibliográfica, que envolveu a análise de fontes acadêmicas, artigos e livros sobre o DUA e a educação inclusiva. Os resultados indicaram que o DUA pode ser uma ferramenta na adaptação do currículo e das práticas pedagógicas, permitindo que alunos com necessidades especiais, assim como aqueles com diferentes estilos de aprendizagem, tenham acesso igualitário ao conteúdo. A diversificação das formas de representação, expressão e engajamento contribui para criar um ambiente educacional inclusivo, mas a implementação do DUA enfrenta desafios relacionados à formação dos educadores, à resistência institucional e à falta de recursos adequados, como tecnologias assistivas. As considerações finais apontaram que o DUA, embora promissor, requer investimentos em infraestrutura e capacitação docente para que sua implementação seja plena. Além disso, foram sugeridos novos estudos para ampliar o impacto do DUA em diferentes contextos educacionais e explorar soluções para superar as barreiras ainda existentes.
CODIFICANDO O FUTURO: A PROGRAMAÇÃO NA FORMAÇÃO DE JOVENS MENTES
Authors: Caldeira Vanessa Morgado Madeira , Lima Albanita Ferreira , De Souza Nelia Elisabete Fagundes , Nicolau Patricia Cardoso , De Sousa Arlindo Moreira 
Published: February 2025

Este estudo investigou a implementação do ensino de programação nas escolas e seu impacto no desenvolvimento das habilidades dos estudantes, com foco no ensino básico e médio. O objetivo geral foi analisar como a programação pode ser integrada ao currículo escolar, destacando seus benefícios no desenvolvimento de habilidades técnicas, cognitivas e socioemocionais dos alunos. A metodologia adotada foi de caráter qualitativo, com abordagem bibliográfica, através da análise de obras acadêmicas, artigos e outros estudos relevantes. Os resultados indicaram que o ensino de programação contribui para a formação de competências essenciais, como pensamento lógico, perseverança, trabalho em equipe e autonomia. No entanto, também foram identificados desafios significativos, como a falta de infraestrutura adequada nas escolas e a necessidade de capacitação docente. A análise revelou que, apesar das dificuldades, a programação oferece oportunidades de inclusão digital, promovendo maior equidade no acesso ao conhecimento tecnológico e preparando os estudantes para os desafios do mercado de trabalho. As considerações finais apontaram que, embora os benefícios do ensino de programação sejam reconhecidos, são necessários investimentos contínuos em recursos pedagógicos e na formação de professores. Além disso, sugeriu-se que estudos sejam realizados para ampliar as questões relacionadas às metodologias de ensino e às políticas públicas que incentivem a implementação da programação nas escolas.
QUANDO A IA ENTRA NA SALA DE AULA: PERSPECTIVAS E PARADIGMAS
Authors: Rohr Priscila Souza Santos , Bento Ruth Ferreira , Klauch Jorge José , Andrade Mônica dos Anjos Ribeiro , Valdo Angélica Giro 
Published: February 2025

A pesquisa teve como objetivo analisar como a introdução da Inteligência Artificial (IA) nas salas de aula transforma os paradigmas educacionais e quais perspectivas surgem com essa mudança. A metodologia adotada foi bibliográfica, com análise de fontes acadêmicas sobre o uso da IA na educação, suas aplicações pedagógicas, desafios e benefícios. Foram abordados temas como personalização do ensino, novas abordagens pedagógicas, o impacto da IA na gestão do conhecimento e avaliação do aprendizado. Os resultados indicaram que a IA promoveu a personalização do ensino, proporcionando uma adaptação ao ritmo de aprendizagem individual e aumentando o engajamento dos alunos. As mudanças nos paradigmas educacionais foram observadas por meio da introdução de metodologias ativas, que priorizam a autonomia do aluno. Entretanto, os principais desafios identificados foram as barreiras tecnológicas, financeiras e pedagógicas, além de questões relacionadas à ética e privacidade no uso da IA. A análise indicou que a formação continuada dos educadores e a infraestrutura adequada são essenciais para a implementação da IA nas escolas. As considerações finais destacaram a relevância da IA para uma educação inclusiva e personalizada, mas apontaram a necessidade de estudos sobre o impacto a longo prazo dessa tecnologia na educação e suas implicações sociais e pedagógicas.
The economic impact of stent retriever selection for acute ischemic stroke: a cost analysis of MASTRO I from the healthcare system perspective of the United States, Canada and eight European countries
Authors: Andersson Tommy , Nordmeyer Hannes , Brinjikji Waleed , Kottenmeier Emilie , Kabiri Mina , Scheffler Shanti , Brouwer Patrick A , Mirza Mahmood , Zaidat Osama O 
Published: February 2025

Aim:
According to the results of the MASTRO I living systematic review and meta-analysis, use of the EmboTrap Revascularization
®
Device in the treatment of acute ischemic stroke (AIS) results in higher rates of good functional outcomes (90-day modified Rankin Scale [mRS] 0–2) compared with use of the Trevo
®
Retriever or the Solitaire™ Revascularization Device. The aim of this analysis was to assess the potential economic impact of achieving improved functional outcomes for three commonly used stent retrievers (SRs) in the treatment of AIS.
Methods:
An economic model with short-term and long-term costs, representing a healthcare system perspective was developed using a decision tree to simulate a cohort of 1000 hypothetical patients treated for AIS with mechanical thrombectomy (MT) using EmboTrap, Trevo or Solitaire SRs. Based on the proportion of patients who achieved a 90-day mRS score of 0–2 or 3–5 for each device reported in MASTRO I (excluding patients not surviving after 90 days), this model estimated per-patient costs and the associated incremental cost savings. Results are reported from the healthcare system perspective in the US, Canada, the UK, Sweden, Germany, France, Italy, Spain, Belgium and The Netherlands.
Results:
Across all ten countries, the use of EmboTrap during MT was associated with the lowest short-term (ranging from €8412 in Italy to $66,525 in the US), long-term (ranging from €5249 in Italy to $25,757 in the US) and total (ranging from €13,661 in Italy to $92,282 in the US) per-patient costs. The total per-patient cost was higher with Trevo (ranging from €14,601 in Italy to $97,487 in the US) and Solitaire (ranging from €14,840 in Italy to $98,814 in the US). Cost savings were highest when comparing EmboTrap versus Solitaire, followed by EmboTrap versus Trevo, with Trevo versus Solitaire having the smallest cost savings. Results of sensitivity and scenario analyses supported the robustness of the base-case results.
Conclusion:
Across the ten countries, treating patients with AIS with EmboTrap resulted in lower short-term, long-term and total costs to the payer. With rising healthcare costs and limited hospital budgets, these results suggest EmboTrap proves to be an evidence-based economical choice of SR for hospitals and healthcare systems.
SMART CCTV UNTUK MEMONITORING KEMANAN RUANGAN MENGGUNAKAN RASPBERRY PI DI RUMAH MAKAN WAROENG KAMPOENG JEPUN KOTA CIREBON
Authors: Ilman Kadori  , Asep Kosasih  , Bagus Pamungkas  
Published: February 2025

Penelitian ini di buat bertujuan untuk memudahkan pihak rumah makan dalam meningkatkan pelayanan maupun keamanan untuk memberikan rasa nyaman kepada pelanggan, serta diharapkan mampu menghemat waktu maupun tenaga. Sistem ini menggunakan Raspberry Pi dimana raspberry merupakan mikro komputer yang memiliki spesifikasi seperti komputer pada umumnya, sehingga mampu menciptakan suatu sistem pemantau keamanan yang canggih namun dengan biaya yang sangat terjangkau. Dari uraian masalah diatas, penulis mengkaji sebuah sistem yang diharakan mampu memberikan solusi terbaik sebagai sistem pemantau keamanan menggunakan Raspberry Pi, dimanan Raspberry Pi merupakan komputer papan tunggal (single-board circuit; SBC) yang seukuran dengan kartu kredit yang dapat digunakan untuk menjalankan program perkantoran, permainan komputer, dan sebagai pemutar media hingga video beresolusi tinggi. Hasil dari penelitian ini adalah sistem Smart CCTV yang dapat memfoto dan merekam secara otomatis ketika terjadi gerakan pada suatu area yang dipantau di R.M Waroeng Kampoeng Jepun Kota Cirebon. Sistem ini diharapkan mampu meningkatkan sistem keamanan dan meningkatkan rasa nyaman bagi pelanggan.

ABSTRACK
This Research aims to make it easier for the restaurant to improve service and security to provide comfort to the customer, and is expected to save time and effort. The system uses a Raspberry Pi micro-computer where raspberries that have specifications such as computers in general, so as to create a sophisticated security monitoring system but at a very affordable cost. From the description above problems, the authors examine a system that diharakan able to provide the best solutions as the system monitors the safety of using Raspberry Pi, where N Raspberry Pi is a single board computer (single-board circuit; SBC) which is about the size of a credit card that can be used to run office programs , computer games, and as a media player up to high-resolution video. The results of this study are Smart CCTV system that can capture and record automatically when motion occurs in an area that is monitored in R.M Waroeng Kampoeng Japanese city of Cirebon. The system is expected to improve system security and improve comfort for customers.
Turnaround Time for Image-Guided Breast Core Biopsies: A College of American Pathologists Survey Q-Probes Study
Authors: Guidi Anthony J. , Blond Barbara J. , Long Thomas A. , Coulter Suzanne N. , Brown Richard W. 
Published: February 2025

Context.—
Timely breast core biopsy results help expedite appropriate treatment for patients. Many institutions track turnaround times from biopsy to report; however, there are no established benchmarks to evaluate performance and identify potential improvement opportunities.

Objective.—
To determine benchmark turnaround times for breast core biopsy reports and identify key drivers impacting turnaround time.

Design.—
Participants enrolled in the College of American Pathologists Q-Probes study entitled Turnaround Time for Image-Guided Breast Needle Biopsy Specimens provided intervals for processing steps through report completion, and details regarding potential influencing variables.

Results.—
Nineteen participants submitted data for 876 cases. The median turnaround time from accession to report completion was 31.0 hours, with a median time of 19.2 hours from accessioning to slide delivery to pathologists. The median time from biopsy to accessioning (3.4 hours) and slide delivery to report completion (7.5 hours) was notably shorter. Cases with malignant diagnoses were associated with longer median turnaround times than those with benign/atypical/borderline diagnoses (44.1 versus 29.4 hours; P = .04). Cases requiring additional testing or consultation were associated with longer median turnaround times than straightforward cases (45.3 versus 27.4 hours; P &lt; .001). Fixation time variability was noted between laboratories (median, 11.0 hours; 10th and 90th percentile times: 7.1 and 31.3 hours, respectively). Variability was seen in the total processing times among laboratories (mean, 9.1 hours; range, 4.5–12.5 hours).

Conclusions.—
Participating laboratories provided timely breast core biopsy results. Benchmark data presented may be useful for laboratories to assess performance and develop strategies for improvement.