bluuebunny/crossref_metadata_2025_split huggingface dataset:
Antimycobacterial cyclic peptide natural products bind and dysregulate stress response chaperones
Authors: Payne Richard , Barter Isabel , Bedding Max , Maxwell Joshua , Hawkins Paige , Wang Xiaonan , Quan Diana , Junker Sabryna , Clausen Tim , Britton Warwick , Larance Mark 
Published: November 2024

Abstract

The protein quality control system is a promising and largely untapped mycobacterial target for the discovery of novel antibiotics. The ClpC1:ClpP1P2 protease is an essential component of the system and is involved in both regulatory and stress-related protein degradation. Several cyclic peptide natural products have been discovered, including ecumicin, the ilamycins and cyclomarin, which bind the ClpC1 chaperone component of the system and possess potent antimycobacterial activity. This has led to significant interest in these molecules, and the ClpC1:ClpP1P2 system more generally, as a bona fide target for the development of new classes of tuberculosis drugs. Utilising cutting edge mass-spectrometry-based proteomics on virulent Mycobacterium tuberculosis H37Rv, we reveal key differences in the mechanism of action for ecumicin, ilamycin E and cyclomarin, with each natural product having distinct effects on the proteome and different consequences for ClpC1 substrate recognition. An additional Clp protein, ClpC2, safeguards the ClpC1:ClpP1P2 complex from obstruction by chaperoning excess unfolded proteins in the event of proteotoxic stress. We show that all three natural products bind ClpC2, with varying affinities, in addition to ClpC1. Notably, we report the significant accumulation of the small heat shock protein, Hsp20, in the presence of ecumicin. A direct binding interaction between Hsp20 and ecumicin is observed that is proposed to stimulate this upregulation. Together, our data reveal that these natural products bind and dysregulate chaperones beyond ClpC1 and dysregulate ClpC1 substrate recognition via distinct mechanisms. This highlights the potential for the development of antimycobacterials that disrupt protein quality control beyond a single protein target.
Improved Alignment of Modalities in Large Vision Language Models
Authors: Jangra Kartik , Singh Aman Kumar , Mann Yashwani , Rathee Geetanjali 
Published: November 2024

Abstract

Recent advancements in vision-language models have achieved remarkable results in making language models understand vision inputs. However, a unified approach to align these models across diverse tasks such as image captioning and visual question answering remains a challenge. Existing methods either require very big language models or very big datasets which is not efficient in utilizing exist ing models. This paper addresses this gap and devises a training strategy of auto-regressive vision-language models, to unify vision-language tasks like image captioning and visual question answering. We propose four training stages for aligning the vision model with the language model, in other words, the lan guage model is given an ability to process visual inputs. We also devise different attention masks for training transformer-based language models that improve the quality of visual features. Further, we introduce some findings, 1) the attention mask should not be applied on visual inputs, 2) the Language model converges faster on AI-generated data, 3) More work should be done in the alignment stage during the pre-training of the model, 4) the model can easily adapt to any down stream tasks like visual question answering on healthcare datasets like PathVQA. After training the model for one epoch for all the stages, it outperforms large models like VILA-13 billion models on common benchmarks like CIDEr scores on COCO and Flickr30k datasets and achieves very close scores to GIT-2 on the same dataset despite being a much smaller model trained on a much smaller dataset. All of the training is done using best practices available like multi-GPU parallel training, lower-precision training with 16-bit float numbers, faster atten tion (SDPA), and gradient accumulation, and completed the training within 12 hours.
Ultra-High-Definition Image Restoration: New Benchmarks and A Dual Interaction Prior-Driven Solution
Authors: wang Liyan , Wang Cong , Pan Jinshan , Liu Xiaofeng , Zhou Weixiang , Sun Xiaoran , Wang Wei , Su Zhixun 
Published: November 2024

Abstract

Ultra-High-Definition (UHD) image restoration has acquired remarkable attention due to its practical demand. In this paper, we construct UHD snow and rain benchmarks, named UHD-Snow and UHD-Rain, to remedy the deficiency in this field. The UHD-Snow/UHD-Rain is established by simulating the physics process of rain/snow into consideration and each benchmark contains 3200 degraded/clear image pairs of 4K resolution. Furthermore, we propose an effective UHD image restoration solution by considering gradient and normal priors in model design thanks to these priors' spatial and detail contributions. Specifically, our method contains two branches: (a) feature fusion and reconstruction branch in high-resolution space and (b) prior feature interaction branch in low-resolution space. The former learns high-resolution features and fuses prior-guided low-resolution features to reconstruct clear images, while the latter utilizes normal and gradient priors to mine useful spatial features and detail features to guide high-resolution recovery better. To better utilize these priors, we introduce single prior feature interaction and dual prior feature interaction, where the former respectively fuses normal and gradient priors with high-resolution features to enhance prior ones, while the latter calculates the similarity between enhanced prior ones and further exploits dual guided filtering to boost the feature interaction of dual priors. We conduct experiments on both new and existing public datasets and demonstrate the state-of-the-art performance of our method on UHD image low-light enhancement, dehazing, deblurring, desonwing, and draining. The source codes and benchmarks are available at \url{https://github.com/wlydlut/UHDDIP}.
Education funding, FUNDEB and the right to education: public education of quality and with public management
Authors: Fernandes Dourado Luiz , Pinho de  Araújo Walisson Maurício 
Published: November 2024

This article aims to discuss the relationship between financing and the right toeducation, with special emphasis on the financing of elementary education, through the analysisof the approval and regulation process of the permanent FUNDEB, an accounting fund. In thiscontext, when analyzing the complexity of this agenda, the clashes within the scope of educationpolicies and management in Brazil are located, especially around the approval of the permanentFundeb and the advances and limits placed on its regulation and effective materialization,aiming at guaranteeing the basic public education of social quality, and with the public, free anddemocratic management.

Este artigo se propõe a discutir a relação entre o financiamento e o direito à educação, com especial destaque para o financiamento da educação básica, por meio da análise do processo de aprovação e regulamentação do FUNDEB permanente, fundo de natureza contábil. Neste contexto, ao analisar a complexidade desta agenda situa-se os embates no âmbito das políticas e gestão da educação no Brasil, sobretudo em torno da aprovação do Fundeb permanente e dos avanços e limites interpostos à sua regulamentação e efetiva materialização visando a garantia de educação básica de qualidade social, pública e com gestão pública, gratuita e democrática.
Public opinion analysis for moderate religious: Social media data mining approach
Authors: Mudhofi M. , Supena Ilyas , Karim Abdul , Safrodin Safrodin , Solahuddin Solahuddin 
Published: November 2024

Purpose - This paper aims to elaborate discourses of religious moderation on social media in terms of perceptions of netizen’s responding to the values of religious moderation.Method - This study uses text mining to interpret and categorize comments from Twitter about the values of moderation. In addition, sentiment analysis used to capture the number of positive and negative words in each tweet. Data analysis was used to extract and explore the dominant Twitter users' emotions around the values of moderation.Result - Sentiment analysis results indicate the variance of Twitter users' public participation in providing perceptions of religious or religious moderation values. The variance of public views of Twitter users on the issue of religious moderation content shows that positive sentiment is higher than negative sentiment.Implication – This research contributes to the study of religious moderation more broadly by understanding how social media users perceive and showing how machine learning (text mining) can help better understand concepts related to the values of moderation.Originality - This study presents a new methodology and analytical approach to investigating moderate religious in social media conversations, which brings together a multidisciplinary knowledge of technology, data science and religious studies. This research is the first study that used data mining approach to public opinion analysis for moderate religious in Indonesia.***Tujuan - Tulisan ini bertujuan untuk mengelaborasi wacana moderasi beragama di media sosial ditinjau dari persepsi warganet dalam menyikapi nilai-nilai moderasi beragama.Metode - Penelitian ini menggunakan text mining untuk menginterpretasikan dan mengkategorikan komentar dari Twitter tentang nilai moderasi. Selain itu, analisis sentimen digunakan untuk menangkap jumlah kata positif dan negatif di setiap tweet. Analisis data digunakan untuk mengekstraksi dan mengeksplorasi emosi pengguna Twitter yang dominan seputar nilai moderasi.Hasil - Hasil analisis sentimen menunjukkan adanya variansi partisipasi masyarakat pengguna Twitter dalam memberikan persepsi terhadap agama atau nilai moderasi beragama. Variasi pandangan masyarakat pengguna Twitter terhadap isu konten moderasi beragama menunjukkan bahwa sentimen positif lebih tinggi daripada sentimen negatif.Implikasi – Penelitian ini berkontribusi pada kajian moderasi beragama secara lebih luas dengan memahami bagaimana persepsi pengguna media sosial dan menunjukkan bagaimana machine learning (text mining) dapat membantu lebih memahami konsep yang berkaitan dengan nilai-nilai moderasi.Orisinalitas - Studi ini menyajikan metodologi baru dan pendekatan analitis untuk menyelidiki agama moderat dalam percakapan media sosial, yang menyatukan pengetahuan multidisiplin teknologi, ilmu data, dan studi agama. Penelitian ini merupakan penelitian pertama yang menggunakan pendekatan data mining untuk analisis opini publik terhadap agama moderat di Indonesia.
Urgency of Islamic psychotherapy in decreasing physical and psychological stress
Authors: Bachtiar Muhammad Anis , Izzah Hizhwah Aqidatul , Kasyfillah Muhammad Haidarsyah 
Published: November 2024

Purpose - This paper aims to prove that Islamic psychotherapy of LPSNU Pagar Nusa Branch Jombang is able to decrease stress, and to prove that Islamic Psychotherapy of LPSNU Pagar Nusa Branch Jombang is able to decrease physical and psychological stress.Method - Population and sample of the research, population of the research was 500 people, while 20 was taken as sample using Non-Probability sample design with purposive sample sampling technique. Data analysis used comparative analysis using T-test for small groups (less than 30).Result - the result of Paired sample test was t: -4,810, p= 0.000, from the data, it was further consulted to table T with df: 19 significance of 0.05 where the score of 2.093 was obtained and at the significance level of 0.001, a score of 2.861 was obtained which meant that To is bigger than Tt, 2.0934.8102.861. Therefore, it could be concluded that there is a significant influence between Islamic Psychotherapy of LPSNU Pagar Nusa branch Jombang towards the decreasing level of stress.Implication – The researcher recommended to future researchers develop more specific research related to the aspect of self-control and spirituality as its dependent variable for such aspect represents mental health factor.Originality - This is the first research to apply Islamic psychotherapy towards the decreasing level of stress among the members of LPSNU Pagar Nusa branch Jombang.***Tujuan - 1). Untuk membuktikan bahwa psikotrapi Islami LPSNU Pagar Nusa Cabang Jombang dapat menurunkan stres. 2). Untuk membuktikan bahwa psikoterapi Islami LPSNU Pagar Nusa Cabang Jombang dapat menurunkan stres fisik dan psikis.Metode - Populasi dan sampel penelitian, populasi penelitian berjumlah 500 orang, sedangkan yang diambil menjadi sampel sebanyak 20 orang dengan menggunakan rancangan sampel Non-Probabilitas dengan teknik pengambilan sampel purposif. Analisis data menggunakan analisis komparasional dengan menggunakan Uji T untuk kelompok kecil (kurang dari 30).Hasil - hasil Paired samples test adalah t: -4,810, p= 0.000, dari data tersebut selanjutnya dikonsultasikan pada tabel T dengan df: 19 signifikasi 0.05 diperoleh nilai 2.093 dan pada taraf signifikasi 0.001 diperoleh nilai 2.861. berarti To lebih besar dari Tt, 2.0934.8102.861. Jadi, dapat disimpulkan bahwa ada pengaruh yang signifikan antara psikoterapi islami LPSNU Pagar Nusa cabang Jombang terhadap penurunan stres.Implikasi – Peneliti merekomendasikan kepada peneliti berikutnya untuk mengembangkan penelitian berikutnya secara lebih spesifik yang berkaitan dengan aspek self control dan spiritualitas sebagai variabel terikatnya, karena aspek tersebut merepresentasikan unsur kesehatan mental.Orisinalitas – penelitian ini merupakan penelitian pertama yang menerapkan psikoterapi islam terhadap penurunan tingkat stres pada anggota LPSNU Pagar Nusa cabang Jombang.
Countering radicalism: Text analysis on online da’wah in Indonesia
Authors: Maknun Moch Lukluil , Iswanto Agus , Hidayat Roch Aris , Hasfi Nurul , Islahuddin Islahuddin 
Published: November 2024

Purpose - The purpose of this study is to observe Kyai Ma'ruf Khozin's online da'wah.Method - This research uses data triangulation and qualitative text analysis to understand da'wah narratives and focus group discussions on exploring discourse production. In addition to the main informants, we also conducted snowballing in-depth interviews with related parties.Result - The research findings show that Kyai Ma'ruf Khozin is a Kyai who actively produces moderate Muslim discourse. He has a motive to counter misconceptions about Islamic values discussed within the Muslim community. He also intends to develop moderate Islamic teachings, both to strengthen the practices of NU citizens and to counter conservative and radical Islamic values.Implication – The implication of this study is that it requires the awareness of moderate preachers who have the authority to develop da'wah in online media.Originality/Value - the specialty of this study is one of the best practices of moderate da'wah on Facebook media, which is the simplest media and reaches all da'wah circles.***Tujuan - Tujuan dari penelitian ini adalah untuk mengamati dakwah online Kyai Ma'ruf Khozin.Metode - Penelitian ini menggunakan triangulasi data dan analisis teks kualitatif untuk memahami narasi dakwah dan diskusi kelompok terarah untuk mengeksplorasi produksi wacana. Selain informan utama, kami juga melakukan wawancara mendalam secara snowball dengan pihak-pihak terkait.Hasil - Temuan penelitian menunjukkan bahwa Kyai Ma'ruf Khozin adalah seorang Kyai yang aktif memproduksi wacana Muslim moderat. Ia memiliki motif untuk melawan kesalahpahaman tentang nilai-nilai Islam yang didiskusikan dalam komunitas Muslim. Ia juga bermaksud mengembangkan ajaran Islam moderat, baik untuk memperkuat praktik-praktik warga NU maupun untuk melawan nilai-nilai Islam yang konservatif dan radikal.Implikasi - Implikasi dari penelitian ini adalah perlunya kesadaran para dai moderat yang memiliki otoritas untuk mengembangkan dakwah di media online.Orisinalitas/Nilai - Keistimewaan penelitian ini adalah salah satu praktik terbaik dakwah moderat di media Facebook, yang merupakan media paling sederhana dan menjangkau semua kalangan dakwah.
La saturación icónica: la Fenomenología de la religión como crítica a la metafísica
Authors: Santasilia Stefano 
Published: November 2024

La fenomenología de la religión pone, en su propia constitución, en jaque la problemática del estatuto del fenómeno con respecto a la posibilidad de la manifestación de algo que, estructuralmente, tiene que desbordar las posibilidades de la conciencia. Este problema, ya detectado por algunos fenomenólogos en los tiempos inmediatamente sucesivos a la fundación de la fenomenología como corriente filosófica, queda declinado de manera específica por Jean Luc Marion, a través de su reconfiguración del estatuto del fenómeno a partir de la idea de saturación. En particular, la saturación icónica representaría la piedra de toque de una posible fenomenología de la religión, la cual se constituiría, específicamente, también como crítica y dépassement de todo planteamiento metafísico.
High-Frequency Cognitive Control Training for Depression: Case Report
Authors: Vander Zwalmen Yannick , Hoorelbeke Kristof , Demeester David , Koster Ernst H W 
Published: November 2024

Background
Cognitive control training (CCT) has gained attention in recent years as a preventative intervention in the context of major depressive disorder. To date, uncertainty exists around the working mechanisms of CCT and how its effects unfold overtime.

Objective
This study aimed to examine cognitive and affective transfer effects following an unusually high number of training sessions.

Methods
This case report presents data of a participant completing a large amount of training sessions (n=55) over the course of 1 year in 2 training phases: 10 initial sessions, followed by 45 additional sessions. Reliable change indices were calculated for several self-report questionnaires, measuring cognitive and affective functioning.

Results
Cognitive task performance suggests improved cognitive functioning after training (accuracy scores increased from 43/181, 24% at baseline to 110/181, 61% shortly after training), which was maintained at follow-up (accuracy scores around 50%). Reliable change indices suggest a decrease in depressive symptoms (Beck Depression Inventory-II score decreased from 23 at baseline to 3 following initial training). Similarly, burnout symptoms following CCT showed a similar decrease. Maladaptive emotion regulation strategies displayed high variability, decreasing after periods of training but increasing when no training was performed. However, no changes in repetitive negative thinking were observed. Thematic analysis from an in-depth interview focusing on CCT adherence and user experience pointed to the importance of independency and accessibility of CCT in perceived agency, as well as the need for clear feedback mechanisms following training.

Conclusions
Training task performance indicates further increases in performance beyond typical amounts of training sessions (10-20 sessions), hinting that more sessions could be beneficial for continued improvement in cognitive functioning. In line with previous research, CCT decreased depressive symptomatology. However, its effects on emotion regulation remain unclear. Further mechanistic studies into the temporal unfolding of CCT effects are necessary to investigate potential working mechanisms.

Trial Registration
ClinicalTrials.gov NCT05166798; https://clinicaltrials.gov/study/NCT05166798
O design multimodal do Instagram: da barra de rolagem infinita à organicidade algoritmizada do feed de notícias
Authors: Liberato Arruda Hissa Débora 
Published: November 2024

Neste artigo, problematizo o design multimodal da mídia do Instagram. Trago como aporte teórico a multimodalidade (KRESS, 2000; Van LEEUWEN, 2011), os multiletramentos (GNL, 2021; KALANTZIS, COPE e PINHEIRO, 2020), o letramento digital (HISSA, 2021a) e algumas categorias de texto, como informatividade e sequenciação (KOCH e ELIAS, 2016). Analiso vinte postagens retiradas do feed de informações de uma conta pessoal do Instagram a partir da lógica da captura de atenção (WOLF, 2019; CESARINO, 2022) por meio do recurso digital barra de rolagem infinita (infinite scroll). O resultado mostra que as mídias sociais se converteram em e-commerce (40% de postagens foram oriundas de páginas comerciais) e que o design tornou um mercador de atenção no jogo dialético não sequencial.
Palavras-chave: Design multimodal; Mídias sociais; Instagram; barra de rolagem infinita; Captura de atenção.
ABSTRACT
In this article, I problematize Instagram's multimodal media design. I bring multimodality as a theoretical contribution (KRESS, 2000; Van LEEUWEN, 2011), multiliteracies (GNL, 2021; KALANTZIS, COPE and PINHEIRO, 2020), digital literacy (HISSA, 2021a) and some text categories, such as informativeness and sequencing (KOCH and ELIAS, 2016). Analysis twenty taken from the information feed of a personal Instagram account from the logic of capturing attention (WOLF, 2019; CESARINO, 2022) through the digital resource infinite scroll bar (infinite scroll). The result shows that social media have become e-commerce (40% of posts came from commercial pages) and that design has become a merchant of attention in the non-sequential dialectical game.
Keywords: Multimodal design; Social media; Instagram; Infinite scroll bar; Attentional capture

RESUMEN
En este artículo, problematizo el diseño de medios multimodales de Instagram. Traigo como aporte teórico la multimodalidad (KRESS, 2000; Van LEEUWEN, 2011), las multialfabetizaciones (GNL, 2021; KALANTZIS, COPE y PINHEIRO, 2020), la alfabetización digital (HISSA, 2021a) y algunas categorías textuales, como la informatividad y la secuenciación. (KOCH y ELÍAS, 2016). Análisis veinte tomados del feed de información de una cuenta personal de Instagram desde la lógica de captar la atención (WOLF, 2019; CESARINO, 2022) a través de la barra de desplazamiento infinito del recurso digital (infinite scroll). El resultado muestra que las redes sociales se han convertido en comercio electrónico (el 40% de las publicaciones procedían de páginas comerciales) y que el diseño se ha convertido en un mercader de atención en el juego dialéctico no secuencial.
Palabras-clave: Diseño multimodal; Redes sociales; Instagram; Barra de desplazamiento infinita; Captura de atención.
A formação continuada de professores e os mestrados profissionais em educação
Authors: Costa Moraes Mary Ellen , Arlete Maria Monte de Camargo  
Published: November 2024

O Mestrado Profissional em Educação enquanto espaço de formação continuada dos professores da educação básica é o objeto desta pesquisa. Propusemo-nos analisar como os mestrados profissionais em educação, tem se configurado como formação continuada de professores da educação básica, cuja centralidade se dá a partir das reformas educativas da década de 1990. O aporte teórico Epistemologia da Prática (Nóvoa, 1992) e Epistemologia da Práxis (Noronha, 2010 e Silva 2008; 2011; 2018), constituem-se como lentes de análise. Trata-se de uma pesquisa bibliográfica, cujos dados foram analisados por meio da técnica Análise de Conteúdo. As categorias centrais que emergem da relação mestrados profissionais em educação e formação continuada de professores são: “ação docente qualificada” e “intervenção na prática profissional.

Palavras-chave: Formação continuada; Mestrado profissional em Educação; Reformas educativas