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The discipline of textual criticism dominates conceptions of scribal activity, which it speculatively reconstructs for recension and emendation. The nature of these methods means that transcription is always figured as error. Against these 'transcribers of the mind' (to adapt D. F. McKenzie's phrase), this article sets the real scribes whom scholars employed to reproduce historical documents in the early decades of the British Museum Reading Room, when transcribing an entire manuscript was still seen as mechanical. Museum records show that paid amanuenses were initially so ubiquitous that they had to be regulated. But they also reveal that some scholars began making their own transcriptions, and some scribes became so knowledgeable that they became celebrated as scholars themselves. The article uses these records to develop a thesis about the transformation of manuscript transcription during the eighteenth century: from outsourceable, unspecialised aid to many disciplines, into a discipline in its own right. [ABSTRACT FROM AUTHOR]

Techniques to study splicing kinetics include metabolic labeling time courses, 3′ splice site-RNA polymerase II distance-based measurements, and microscopy-based methods. The global median splicing time is of the order of minutes in many organisms, including yeast, Drosophila , and humans. Many instances of splicing events occurring on the order of seconds have also been observed. Single intron excision kinetics are highly variable. Many molecular features are associated with splicing kinetics, including intron length, the distance of an intron from its respective gene boundaries, and whether a splicing event is alternative or constitutive. Splicing is a highly regulated process critical for proper pre-mRNA maturation and the maintenance of a healthy cellular environment. Splicing events are impacted by ongoing transcription, neighboring splicing events, and cis and trans regulatory factors on the respective pre-mRNA transcript. Within this complex regulatory environment, splicing kinetics have the potential to influence splicing outcomes but have historically been challenging to study in vivo. In this review, we highlight recent technological advancements that have enabled measurements of global splicing kinetics and of the variability of splicing kinetics at single introns. We demonstrate how identifying features that are correlated with splicing kinetics has increased our ability to form potential models for how splicing kinetics may be regulated in vivo. [ABSTRACT FROM AUTHOR]

Copyright of ABI Technik is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

BackgroundMethodResultsConclusionThe current study explored the perspectives of staff working with adults with intellectual disabilities and behaviours that challenge. We sought insight into their understanding of procedural fidelity and challenges faced when implementing behaviour support.We interviewed 15 staff members supporting adults with intellectual disabilities in residential settings. Participants included five front-line staff, five residential managers, and five clinicians. Interviews were transcribed and thematic analysis conducted.Issues identified by the participants related to four main themes: (1) Organisational and environmental constraints; (2) Understanding and monitoring of procedural fidelity; (3) Theory versus practice; (4) There's nothing positive about behaviour support.Across staff groups, lack of understanding of fidelity emerged, as well as minimal accountability regarding behaviour support. Front-line staff felt isolated and under pressure. Greater emphasis on partnership, practice leadership, and positive feedback may give front-line staff the support needed to use behavioural interventions with high fidelity. [ABSTRACT FROM AUTHOR]

The production of eukaryotic mRNAs requires transcription by RNA polymerase (pol) II and co-transcriptional processing, including capping, splicing, and cleavage and polyadenylation. Pol II can positively affect co-transcriptional processing through interaction of factors with its carboxyl terminal domain (CTD), comprising 52 repeats of the heptapeptide Tyr1-Ser2-Pro3-Thr4-Ser5-Pro6-Ser7, and pol II elongation rate can regulate splicing. Splicing, in turn, can also affect transcriptional activity and transcription elongation defects are caused by some splicing inhibitors. Multiple small molecule inhibitors of splicing are now available, some of which specifically target SF3B1, a U2 snRNP component. SF3B1 inhibition results in a general downregulation of transcription elongation, including premature termination of transcription caused by increased use of intronic poly(A) sites. Here, we have investigated the effect of Madrasin and Isoginkgetin, two non-SF3B1 splicing inhibitors, on splicing and transcription. Surprisingly, we found that both Madrasin and Isoginkgetin affect transcription before any effect on splicing, indicating that their effect on pre-mRNA splicing is likely to be indirect. Both small molecules promote a general downregulation of transcription. Based on these and other published results, we conclude that these two small molecules should not be considered as primarily pre-mRNA splicing inhibitors. [ABSTRACT FROM AUTHOR]

Background: Chromosome organization plays an important role in biological processes such as replication, regulation, and transcription. One way to study the relationship between chromosome structure and its biological functions is through Hi-C studies, a genome-wide method for capturing chromosome conformation. Such studies generate vast amounts of data. The problem is exacerbated by the fact that chromosome organization is dynamic, requiring snapshots at different points in time, further increasing the amount of data to be stored. We present a novel approach called the High-Efficiency Contact Matrix Compressor (HiCMC) for efficient compression of Hi-C data. Results: By modeling the underlying structures found in the contact matrix, such as compartments and domains, HiCMC outperforms the state-of-the-art method CMC by approximately 8% and the other state-of-the-art methods cooler, LZMA, and bzip2 by over 50% across multiple cell lines and contact matrix resolutions. In addition, HiCMC integrates domain-specific information into the compressed bitstreams that it generates, and this information can be used to speed up downstream analyses. Conclusion: HiCMC is a novel compression approach that utilizes intrinsic properties of contact matrix, such as compartments and domains. It allows for a better compression in comparison to the state-of-the-art methods. HiCMC is available at https://github.com/sXperfect/hicmc. [ABSTRACT FROM AUTHOR]

The paper contains a systematic proof for the embedded resolution of two-dimensional hypersurface singularities over a field of arbitrary characteristic. It relies on the construction of a local upper semicontinuous invariant whose top locus defines at each stage of the resolution process the center of a permissible blowup under which the invariant improves. As the invariant belongs to a well-ordered set, resolution is achieved in finitely many steps. To define the invariant we analyze in detail the obstructions which occur when transcribing the inductive characteristic zero proof à la Hironaka. These difficulties are then overcome by introducing finer invariants than in zero characteristic: They reflect and control typical characteristic p phenomena. This may give new ideas for approaching the characteristic p resolution in higher dimensions. [ABSTRACT FROM AUTHOR]

This article provides a discussion of a previously unpublished letter in the Keats House Collections written by Sara Coleridge, the poet and editor, and the only daughter of Samuel Taylor Coleridge. Presented here is the first transcription of the letter to be printed – addressed to the artist Samuel Laurence (sometimes Lawrence) – and an analysis of its contents in relation to Sara's creative writing and life. The essay considers what the letter might be able to tell us about the author, her writing, her engagement with the arts, her position as a woman of letters in the late Romantic/early Victorian period in London, and her health, both physical and mental. [ABSTRACT FROM AUTHOR]

This paper explores the role of Intercept Interpreters/Translators (IITs) in law enforcement communication surveillance efforts. It focuses on the production and reliability of Translated Intercept Records (TIR), which are comprehensive written records in the target language that may be produced for intelligence purposes or for use in court as Translated Intercept Evidence (TIE). The paper underscores the critical importance of reliable TIR for both evidentiary use and operational decision-making. The authors emphasise the need to establish minimal standards in the quest for reliability and dispel the misconception that literal translations fulfil evidentiary requirements. The standards proposed in this paper aim to minimise interpretation errors to enhance the overall effectiveness of investigations and safeguard the interests of justice. The paper concludes by highlighting the need to align judicial expectations with sound translation practices. [ABSTRACT FROM AUTHOR]

Video summarization, a critical task in managing the ever-growing volume of digital video content, has witnessed significant advancements with the integration of Natural Language Processing (NLP) techniques. In this paper, a unique technique is provided to NLP-based video summarising that makes use of textual metadata to improve the relevance and coherence of the summaries that are produced. With the proliferation of internet videos across platforms like YouTube, Instagram, etc., there is a growing need for effective summarization methods to condense diverse content. Its primary objective is to create brief and precise video summaries of YouTube content. The proposed method initially condenses YouTube video transcripts, forming the basis for generating the summarized video. Additionally, an android application is developed to facilitate user interaction. This application enables users to input a YouTube video link. Upon successful processing, the summarized video output is generated and showcased on the application. As the volume of online video content continues to surge, efficient summarization techniques become increasingly vital for users to quickly grasp essential information and navigate through the vast array of available material. This paper's methodology not only addresses this growing demand but also offers a user-friendly interface for easy access and utilization of the summarization tool. The NLP-driven video summarization system achieved high-quality summaries, demonstrating improved coherence, relevance, and informativeness compared to traditional methods. [ABSTRACT FROM AUTHOR]

Copyright of Revista Foco (Interdisciplinary Studies Journal) is the property of Revista Foco and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of AugenBlick is the property of Schueren Verlag GmbH and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Copyright of Beiträge zur Geschichte der deutschen Sprache und Literatur is the property of De Gruyter and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Researching in heterogeneous communities can present challenges for the most experienced of researchers, especially in the context of ethnographic work, where the dynamism and unpredictability of a research setting can make it difficult to anticipate the languages spoken. Drawing on data from multilingual health consultations, I reflect on incidents where language(s) extend beyond the scope of my repertoire and inhibit the immediacy of inference. Ensuing collaborative processes of translation, transcription and analysis offer opportunities to illuminate (mis)understanding(s), but also demonstrate how additional contributions can complexify and shape what can be understood as ‘interpretation’. In documenting some of the practical and ethical considerations that emerge during the research journey, I explore the experience of developing capabilities to cope with communicative opacity and (un)expected tensions. I conclude with some tentative recommendations for institutions seeking to support doctoral students embarking on fieldwork in diverse settings. [ABSTRACT FROM AUTHOR]

Purpose: Cancer is a leading cause of global childhood mortality, affecting 400,000 children annually. While treatable with modern therapies, children living in low‐ and middle‐income countries (LMICs) have limited access to care and lower survival rates. Hospital‐based cancer registries (HBCRs) collect detailed patient information to critically evaluate and evolve care. The St. Jude Global Childhood Cancer Analytics Resource and Epidemiological Surveillance System (SJCARES) is a cloud‐based HBCR network facilitating quality data collection of pediatric cancer. Wide variation in the success of implementation has warranted further research into the implementation approach, to create a sustainable and adaptable HBCR in LMICs. Methods: Seven of 89 sites using the SJCARES registry were selected, stratified by global region and stage of implementation. Semi‐structured interviews were conducted with key groups (clinicians, administrators, data clerks) using an interview guide developed from the Consolidation Framework for Implementation Research (CFIR). Interviews were conducted via a video‐telephone software program and transcribed by a transcription service. Transcripts were thematically coded using rapid qualitative analysis. Results: A total of 18 participants (11 clinicians, 4 administrators, 3 data clerks) were interviewed. Several barrier themes were identified, including: difficulty integrating the registry into existing workflow; lack of resources; lack of government or administrative support; and damaged, misplaced, or illegible medical records. Facilitator themes were identified, including: internal support for the registry; clear and extensive training; and dedicated support staff. Conclusion: Interviewed participants identified key barriers and facilitators to the implementation of the SJCARES registry across multiple phases. We plan to use these results to develop targeted implementation strategies including a readiness assessment tool to help guide more successful implementation of the SJCARES registry and other HBCRs in LMICs. [ABSTRACT FROM AUTHOR]

The wartime work of the BBC is widely remembered, but the focus on the live broadcasting of news across Britain and occupied Europe which characterises most previous studies overlooks the extensive production of transcription recordings for both allied and neutral countries during the conflict. Transcription programmes, along with other neglected fields such as library music, have left more robust archival traces than the more celebrated and 'ephemeral' live programming, thereby challenging the continued centrality of 'liveness' to scholarly understandings of radio as a medium. This article looks at the programmes produced by the BBC's London Transcription Service (LTS) through the case study of an unstudied collection of wartime discs which are preserved at the Czech Radio Archive in Prague. These programmes, produced by international teams for a truly global audience, offer further insights into the wartime 'projection of Britain' and show how the specificities of transcription were used to ensure audiences received an impression of Britain and the Allied cause that was carefully tailored to them. [ABSTRACT FROM AUTHOR]

This study introduces the coupled transformer Network (CTNet), an architecture designed to enhance the robustness and effectiveness of hyperspectral unmixing (HSU) tasks, addressing key limitations of traditional autoencoder (AE) frameworks. Traditional AEs, consisting of an encoder and a decoder, effectively learn and reconstruct low-dimensional abundance relationships from high-dimensional hyperspectral data but often struggle with spectral variability (SV) and spatial correlations, which can lead to uncertainty in the resulting abundance estimates. CTNet improves upon these limitations by incorporating a two-stream half-Siamese network with an additional encoder trained on pseudo-pure pixels, and further integrates a cross-attention module to leverage global information. This configuration not only guides the AE towards more accurate abundance estimates by directly addressing SV, but also enhances the network's ability to capture complex spectral information. To minimize the typical reconstruction errors associated with AEs, a transcription loss constraint is applied, which preserves essential details and material-related information often lost during pixel-level reconstruction. Experimental validation on synthetic and three widely-used datasets confirms that CTNet outperforms several state-of-the-art methods, providing a more robust and effective solution for HSU challenges. [ABSTRACT FROM AUTHOR]

Background Aims Methods Results Conclusion So what? Pharmacist‐led smoking cessation programs in pre‐admission clinics (PAC) have shown to increase quit attempts and achieve abstinence by the day of surgery (DOS).To evaluate the feasibility of Pharmacist E‐script Transcription Service (PETS) initiated nicotine replacement therapy (NRT) in PAC, including smoking cessation on DOS.A single centre, pre and post‐intervention pilot study conducted at an Australian public hospital PAC. In a two‐month intervention period, PAC nursing staff invited smokers (≥1 cigarette/day) to see a smoking cessation PET pharmacist. Pharmacist‐initiated NRT and Quitline© referrals were offered. Cessation outcomes were compared with the preceding two‐month control period. Primary outcome: feasibility of intervention. Secondary outcomes: DOS smoking abstinence rates and three‐months post‐surgery.PAC nurses identified 112 smokers over 4 months; 53 during pre‐intervention period, and 59 during intervention period. Twenty‐two intervention patients (37%) accepted seeing the pharmacist, with 16 subsequent Quitline© referrals (73%) and 11 NRT prescriptions (50%) written. The median nursing smoking status documentation time increased in the intervention period (1 min vs. 4, p < .001). The intervention did not impact pharmacist's workload. Verified abstinence increased from 8.5% (4/47) pre‐intervention to 9.4% (5/53) post‐intervention, p =1.00. Relapse rates in the intervention period increased (20% vs. 50%) at three‐months post‐surgery.A PETS‐initiated NRT program in PAC is feasible and increased preoperative use of NRT and Quitline© with minimal impact on smoking cessation.This study has highlighted the importance of implementing a multidisciplinary smoking cessation program in PAC however, larger studies are needed to determine the true impact of the program on smoking cessations. [ABSTRACT FROM AUTHOR]

Copyright of Procesamiento del Lenguaje Natural is the property of Sociedad Espanola para el Procesamiento del Lenguaje Natural and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

With the advent of the popular use of artificial intelligence (AI), the higher education (HE) sector is now facing a new challenge regarding how to exploit the educational potentials of Human-computer interaction (HCI). Developing students’ AI literacy is now attracting the attention of the HE and HCI research community. This paper aims to explore HE students’ perceptions of efficient and critical use of AI tools, and to systematically map the potential components of AI literacy as a new 21st century skill for HE students. This study applied a qualitative, exploratory approach in the form of semistructured interviews with HE students. Results indicate that the participants primarily use ChatGPT for tasks such as brainstorming, topic selection, searching for information, and translation. While many find it useful for creating and reformatting texts, some encountered challenges, including generality in responses, outdated information, and issues during exams. Students highlighted its effectiveness in various academic tasks, from writing essays and CVs to language learning and transcription. Instructors’ perspectives on ChatGPT varied, with some advocating for its integration, while others expressed concerns about job security and misinformation. The implications of the study call for a more systematic introduction and discussion around AI literacy in educational settings. [ABSTRACT FROM AUTHOR]

Inclusivity is the principle that underlies a just and equal society for all individuals, including students or pupils who have hearing disabilities such as the deaf. In an effort to realize inclusivity, technological developments have opened the door to solutions that can improve the quality of life for deaf users. One of the main challenges faced by deaf users is difficulty in understanding and communicating with the outside world through hearing. This article discusses how automatic transcription applications can serve as powerful tools in supporting inclusiveness by improving the listening skills of deaf users. An automatic transcription application is software that is capable of converting spoken conversations into text in real-time. This has the potential to enable deaf users to access previously difficult-to-reach information. The use of automatic transcription applications can provide significant benefits for deaf users. Firstly, it allows pupils and students to follow conversations and presentations better, improving their listening skills. Second, users can participate more actively in various social and educational activities, feeling more confident in interacting with friends, colleagues and instructors. Apart from that, the use of this application can also help in the development of their spoken language, because students can view the transcribed text while listening to the conversation. However, there are several challenges that need to be overcome in implementing this automatic transcription application. These include accuracy of transcription, availability of appropriate hardware and software, and community understanding of the needs and rights of deaf users. Therefore, collaboration between technology developers, the deaf community, and other interested parties is important in ensuring that automated transcription applications can be used effectively to increase inclusivity for deaf users. [ABSTRACT FROM AUTHOR]

The aim of this article is to demonstrate that the mystical treatise known as “Siete grados o sendas”, that historiography and literary criticism have attributed to the hermit and mystic of New Spain Fernando de Córdoba y Bocanegra (1565-1589), was not written by him, but copied entirely from a Portuguese Franciscan chronicle, translated into Spanish, that circulated in the Hispanic territories at the end of the sixteenth century. It also explains the reasons why this hermit-was influenced by Franciscan spirituality and interested in his soul being united with God-he appropriated this treaty, transcribed it and sought to have other devout people read it and take advantage of its contents. [ABSTRACT FROM AUTHOR]

This essay examines Benjamin Robert Haydon's neglected transcripts of John Keats's letters (1845–46). Haydon copied these letters to aid the writing of Richard Monckton Milnes's first biography of the poet, Life, Letters, and Literary Remains, of John Keats (1848). For reasons unknown, however, subsequent critics and scholars have consigned the transcript copies to oblivion without making available their full text (some of which is omitted in Milnes's Life). In addition to the transcripts themselves, Haydon's annotations offer a new insight into his close relationship with Keats. The material will be of interest to many Keats scholars, especially those who wish to explore the complexities of his reception in the mid-nineteenth century and beyond, as well as the friendship between the poet and the painter. [ABSTRACT FROM AUTHOR]

In this introduction to the special issue, the editors read Charles Maturin's Melmoth the Wanderer (1820) and its circuitous afterlives through the lens of recent, revised critical understandings of globalgothic. Driven by its striking depiction of evil, its eccentric narrative structure, and its atmospheric intensity, Melmoth the Wanderer's cultural impact reverberated across nineteenth- and twentieth-century literatures and visual media, an influence which continues to evolve to this day. Significantly, for a text preoccupied with the problematics of translation, transcription, and transliteration, Melmoth's network of global influence is fraught with anomalies and complications. From its first appearance in nineteenth-century Russia in French translation to its rediscovery in twentieth-century Latin America, the global afterlives of Melmoth expose the vagaries and idiosyncrasies of transnational textuality, both in Maturin's era and our own. The introduction ends with an overview of the essays collected in this volume – the first scholarly study dedicated to tracing the many afterlives of Maturin's Melmoth. [ABSTRACT FROM AUTHOR]

Copyright of Fabrica Litterarum Polono-Italica is the property of Wydawnictwo Uniwersytetu Slaskiego and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Automatic lyric transcription (ALT) refers to transcribing singing voices into lyrics, while automatic music transcription (AMT) refers to transcribing singing voices into note events, i.e., musical MIDI notes. Despite these two tasks having significant potential for practical application, they are still nascent. This is because the transcription of lyrics and note events solely from singing audio is notoriously difficult due to the presence of noise contamination, e.g., musical accompaniment, resulting in a degradation of both the intelligibility of sung lyrics and the recognizability of sung notes. To address this challenge, we propose a general framework for implementing multimodal ALT and AMT systems. Additionally, we curate the first multimodal singing dataset, comprising N20EMv1 and N20EMv2, which encompasses audio recordings and videos of lip movements, together with ground truth for lyrics and note events. For model construction, we propose adapting self-supervised learning models from the speech domain as acoustic encoders and visual encoders to alleviate the scarcity of labeled data. We also introduce a residual cross-attention mechanism to effectively integrate features from the audio and video modalities. Through extensive experiments, we demonstrate that our single-modal systems exhibit state-of-the-art performance on both ALT and AMT tasks. Subsequently, through single-modal experiments, we also explore the individual contributions of each modality to the multimodal system. Finally, we combine these and demonstrate the effectiveness of our proposed multimodal systems, particularly in terms of their noise robustness. [ABSTRACT FROM AUTHOR]

Transcription is an important component of the writing process that affects the quality of children's compositions. However, little is known about how transcription mode influences productivity or spelling accuracy, two word-level markers of compositional quality, among children learning to write in an additional language. To address this issue, we compared the effects of handwriting and keyboarding on text length and spelling in the compositions of L2 French learners. Grade 2 to 4 students (n = 48) in French Immersion were given two writing prompts and asked to produce one text on paper and one using a keyboard. The prompts were counterbalanced across the two writing conditions. The total number of words, total number of words spelled correctly, and proportion of correctly spelled words were calculated. A series of repeated measures ANOVAs revealed an advantage in both the average number of correctly spelled words and the proportion of correctly spelled words in the students' compositions favouring the keyboarding condition. Conversely, the total number of words across conditions was not significantly different. Our findings suggest that keyboarding may offer an advantage over handwriting with respect to spelling accuracy in the context of L2 composition in the elementary years. [ABSTRACT FROM AUTHOR]

This study documented the structure and meaning of the language used in the Buntang ritual, as practised among the Dayak Maanyan in East Barito, Kalimantan, Indonesia. This is a special language spoken by this group, living in the southern part of Borneo, to communicate with their ancestors’ spirits. In our documentation, we observed the Buntang ritual, the location of the ceremony, the participants involved, and the interactions between participants to obtain a complete record of the Buntang ritual. We then interviewed a wadian, “priest”, for a complete transcription of the speech used during the ritual. The language used in ritual features constructions of paired clauses. Drawing on the awakening and summoning practices for ancestors’ spirits in this ritual, we documented 2,868 paired clauses. The first clause of the pair uses words from daily use in the Maanyan language, while the second clause uses words that are only used in the ritual. Pairs are a combined form of two clauses with the same meaning in an unequal number of words. This inequality occurs because of verb, noun, or adverb reductions at the beginning of the second clause and word additions at its end. [ABSTRACT FROM AUTHOR]

There is an increasing expectation to demonstrate research equity awareness which charges researchers with the responsibility to methodologically attend to issues of ethical and equitable inclusion in qualitative research. While many strategies toward this end have made strides in improving research inclusion in terms of enhancing inclusive participation in research, little evidence is available to guide researchers in promoting inclusive representation in research. We examine the conceptual and practical relevance of transcription for addressing inclusive representation in qualitative research through the introduction of "transcript alignment" as an alternative to transcript cleaning, transcript checking and reviewing transcripts for verbatim accuracy. Practically, transcript alignment addresses seven common pitfalls of axio-analytic neutrality that impact inclusive representation: missing data, mistaking data, tidying data, overlooking data, shrinking data, sanitizing data, and removing data. Integrating transcript alignment into their practice, qualitative researchers can reaffirm the naturalistic tenet of "investigator as instrument," generate "thick transcription," and ultimately carry forward an ethos of participant inclusion throughout data analysis and presentation activities. Continued assessment and refinement of the practical application of the concept of transcript alignment has potential to enhance ethical and inclusive research conduct across all phases of the research process. [ABSTRACT FROM AUTHOR]

Prior research has associated spoken language use with depression, yet studies often involve small or non-clinical samples and face challenges in the manual transcription of speech. This paper aimed to automatically identify depression-related topics in speech recordings collected from clinical samples. The data included 3919 English free-response speech recordings collected via smartphones from 265 participants with a depression history. We transcribed speech recordings via automatic speech recognition (Whisper tool, OpenAI) and identified principal topics from transcriptions using a deep learning topic model (BERTopic). To identify depression risk topics and understand the context, we compared participants' depression severity and behavioral (extracted from wearable devices) and linguistic (extracted from transcribed texts) characteristics across identified topics. From the 29 topics identified, we identified 6 risk topics for depression: 'No Expectations', 'Sleep', 'Mental Therapy', 'Haircut', 'Studying', and 'Coursework'. Participants mentioning depression risk topics exhibited higher sleep variability, later sleep onset, and fewer daily steps and used fewer words, more negative language, and fewer leisure-related words in their speech recordings. Our findings were derived from a depressed cohort with a specific speech task, potentially limiting the generalizability to non-clinical populations or other speech tasks. Additionally, some topics had small sample sizes, necessitating further validation in larger datasets. This study demonstrates that specific speech topics can indicate depression severity. The employed data-driven workflow provides a practical approach for analyzing large-scale speech data collected from real-world settings. • Transcribed smartphone-collected speech recordings via automatic speech recognition • Utilized a deep learning topic model for identifying topics from transcriptions • Identified six risk topics associated with high depression symptom severity • Explored the contexts of topics using behavioral and linguistic characteristics [ABSTRACT FROM AUTHOR]

This paper presents linguistic and philological analyses of glossed medieval Georgian transcriptions of the Middle Mongol zodiac terms in the fourteenth-century anonymous ასწლოვანი მატიანე Asc'lovani Mat'iane (Chronicle of One Hundred Years), revealing unique details on Middle Mongol as attested in medieval Georgia. This is the first instalment of the authors' joint research on this vastly important, largely untapped contemporaneous Georgian source on medieval Mongol language, culture and history. [ABSTRACT FROM AUTHOR]

In the early Qing dynasty, there was a Southern Song dynasty woodblock-printed edition of Du Gong Bu ji （杜工部集）, which was composed of reprinted editions of Er Wang Ben （二王本） and Wu Ruo Ben （吳若本）. Later, the book became incomplete. Four handwritten copies of the book have survived to this day. Among them, Mao Jin Ben （毛晉本） in Seikado Bunko of Japan （日本靜嘉堂文 庫）, which is the ancestor of the extant handwritten copies, is the closest to the Song dynasty edition. Mao Yi pointed out that Mao Jin Ben was an apograph. But the Mao Jin Ben is just an ordinary manuscript. Shanghai Library of Mao Yi Ben （毛扆本） was added based on remaining part of original books of the Song dynasty. The supplementary content is based on Mao Jin Ben. In the process of copying, Mao Yi collated Mao Jin Ben based on Qian Zhu Du Shi （錢注杜詩）, which led to the loss of Mao Yi Ben and even the original appearance of the Song dynasty edition. The Qian Zeng Ben （ 錢曾本） of the National Library of China and the handwritten copies of the National Central Library were instead part of the Mao Jin transcription system. Compared with the Mao Jin Ben, the extra part of Qian Zeng Ben comes from "Qian Zhu Du Shi.". [ABSTRACT FROM AUTHOR]

Children's writing depends on strategic and self-regulated behaviors as well as on attention and transcription skills. Despite the well-established effectiveness of interventions based on the self-regulated strategy development model (SRSD), little is known about their effects when combined with the explicit teaching and systematic training of attention or transcription. This study compared the effects of SRSD interventions that taught students a planning strategy and how to use it compose text, with additional components of attention (via focused meditation exercises) or transcription (via copy and alphabet exercises). We used a quasi-experimental design with three groups of Portuguese third graders: SRSD + attention (n = 42), SRSD + transcription (n = 37), and wait list (n = 34). Measures of transcription, executive functions, motivation, written production, and academic achievement were collected before and after the interventions. Analyses of co-variance revealed that the SRSD + transcription group surpassed the others in terms of handwriting fluency as well as in terms of spelling accuracy, though only among the weakest spellers at pretest. Moreover, in comparison to the wait list group, both SRSD groups showed better planning skills, wrote more complete texts, and displayed better executive functioning at posttest. After the intervention, though the SRSD + transcription group produced better texts than their peers, the SRSD + attention group achieved better academic performance, but only among those with poorer grades at pretest. Regarding motivation, we only found an effect of the SRSD + transcription intervention on self-efficacy for ideation, among students with lower self-efficacy at pretest. These findings suggest the importance of articulating writing and self-regulation strategies with attention and transcription training in early schooling. [ABSTRACT FROM AUTHOR]

In corpus-based interpreting studies, typical challenges exist in the time-consuming and labour-intensive nature of transcribing spoken data and in identifying prosodic properties. This paper addresses these challenges by exploring methods for the automatic compilation of multimodal interpreting corpora, with a focus on English/Chinese Consecutive Interpreting. The results show that: 1) automatic transcription can achieve an accuracy rate of 95.3% in transcribing consecutive interpretations; 2) prosodic properties related to filled pauses, unfilled pauses, articulation rate, and mispronounced words can be automatically extracted using our rule-based programming; 3) mispronounced words can be effectively identified by employing Confidence Measure, with any word having a Confidence Measure lower than 0.321 considered as mispronounced; 4) automatic alignment can be achieved through the utilisation of automatic segmentation, sentence embedding, and alignment techniques. This study contributes to interpreting studies by broadening the empirical understanding of orality, enabling multimodal analyses of interpreting products, and providing a new methodological solution for the construction and utilisation of multimodal interpreting corpora. It also has implications in exploring applicability of new technologies in interpreting studies. [ABSTRACT FROM AUTHOR]

The main objective of this article is to present the current state of the editorial project Ellacuría: Obras completas. For this purpose, we have reconstructed the different stages of the process: 1) registration and classification of the documents, 2) transcription and elaboration of the technical file, 3) chronological arrangement and composition of the volumes, and, finally, 4) critical edition and composition of the volumes. We believe that the work carried out can help to outline a global image of Ellacuría's heterogeneous and fragmentary work, as well as some of its main difficulties: very restricted access to a work that has had a very local circulation, a large number of unpublished documents, undated or signed under a pseudonym, etc. For all these reasons, we consider it necessary to produce the first critical edition of the complete works of Ignacio Ellacuría, in order to facilitate access both to specialists and to the general public of one of the most relevant authors of contemporary Latin American philosophy. [ABSTRACT FROM AUTHOR]

Theoretical models hold that written products (e.g., quality of written composition) are the outcome of the writing process (e.g., translation, transcription, revision) and skills and knowledge on which the writing process draws (e.g., language, transcription, cognitive skills). In the present study, we examined the relations among writing quality; the writing production process measured by writing fluency; and language, cognitive, and transcription skills, using longitudinal data from English-speaking beginning writers who were followed from kindergarten to Grade 2 (N = 261). Children's working memory, attentional control, spelling, handwriting fluency, vocabulary, grammatical knowledge, and writing quality were measured in kindergarten, Grade 1, and Grade 2. Writing fluency was measured in Grade 2 in two ways, using a process-based measure, writing burst length (chunks of text produced between pauses during writing), and a product-based measure, the number of words produced per total writing time. Results from structural equation modeling showed that Grade 2 writing fluency was moderately related to Grade 2 writing quality (.40) and completely mediated the relations of Grade 1 spelling and handwriting fluency skills to Grade 2 writing quality. In contrast, Grade 1 vocabulary was directly related to Grade 2 writing quality over and above Grade 2 writing fluency. Kindergarten working memory was indirectly related to Grade 2 writing fluency via Grade 1 spelling skill. These findings indicate that the writing production process measured by writing fluency mediates the relations of transcription skills to writing quality, and executive function is indirectly related to writing fluency via transcription skills for beginning writers. Educational Impact and Implications Statement: This study advances our understanding of how a written product, writing quality, is predicted by the writing production process measured by writing fluency as well as language, cognitive, and transcription skills. We measured young beginning writers' writing fluency by a process-based measure, writing bursts (chunks of text produced between pauses while writing) using a digital pen with an infrared camera at its nib, as well as a product-based measure, the number of words produced per total writing time. Results showed that children who had higher writing fluency—those who produced longer writing bursts (who can write more words and letters per burst) and wrote a greater number of words per total writing time—had higher quality writing, and this was explained directly by transcription skills and indirectly by executive functions such as working memory. [ABSTRACT FROM AUTHOR]

According to the World Health Organization, the early identification of mental wellbeing issues in children is extremely important for children's growth and development. However, the available health services are not sufficient to address children's needs in this area. Literature suggests that robots can provide the support needed to promote mental wellbeing in children, but how robots can help with the assessment of mental wellbeing is relatively unexplored. Hence, this work analyses multiple data modalities collected in an exploratory study involving 41 children (8–13 years old, 21 females and 20 males) who interacted with a Nao robot for about 30–45 min. During this session, the robot delivered four tasks: (1) happy and sad memory recall, (2) the Short Moods and Feelings Questionnaire (SMFQ), (3) the picture-based task inspired by the Children Appreciation Test (CAT), and (4) the Revised Children Anxiety and Depression Scale (RCADS). We clustered the participants into three groups based on their SMFQ scores as follows: low tertile (16 participants), med tertile (12 participants), and high tertile (13 participants). Then, we described and analysed the data collected from multiple sources (i.e., questionnaires responses, audio-visual recordings, and speech transcriptions) to gather multiple perspectives for understanding how children's responses and behaviours differ across the three clusters (low, med, vs high) and their gender (boys vs girls) for robot-assisted assessment of mental wellbeing. Our results show that: (i) the robotised mode is the most effective in the identification of wellbeing-related concerns with respect to standardised modes of administration (self-report and parent-report); (ii) children less likely to have mental wellbeing concerns displayed more expressive responses than children who are more likely to have mental wellbeing concerns; and (iii) girls who are more likely to have mental wellbeing concerns displayed more expressive responses than boys, while boys who are less likely to have mental wellbeing concerns displayed more expressive responses than girls. Findings from this work are promising for paving the way towards automatic assessment of mental wellbeing in children via robot-assisted interactions. [ABSTRACT FROM AUTHOR]

Speaker Diarization (SD) or speaker indexing is a procedure for automatically partitioning a conversation by the number of speakers into homogeneous segments. The trustworthy diarization method accurately estimates the variable length assertion, and it involves major steps such as speech detection, speaker merges, and speaker change. The major problem with the SD method is enhancing the readability of speech transcription. In this study, a hybrid method of feature extraction based on the Dynamic Mel Frequency Cepstral Coefficient (DMFCC) and Linear Prediction Coding (LPC) is proposed for SD. The Voice Activity Detection (VAD) method is utilized to detect the presence or absence of a speaker in the audio lecture, which is followed by speaker segmentation utilizing the extracted features. The Deep Convolutional Neural Network (DCNN) is utilized to determine the feature vector and cluster the speaker from the audio lecture. The results show that the proposed DMFCC-LPC delivers a robust performance on metrics such as accuracy, Diarization Error Rate (DER) and False Positive Rate (FPR) of 0.967, 0.31 and 0.119 on CALLHOME dataset, in contrast to the Speaker Siarization System using HXLP-DCNN with Sailfish Optimization Algorithm (SDS-HXLP-DCNN-SOA), Feature-Level fusion, and Self-supervised clustering with Path Integral Clustering (SSC-PIC). [ABSTRACT FROM AUTHOR]

Copyright of Anales del Seminario de Historia de la Filosofía is the property of Universidad Complutense de Madrid and its content may not be copied or emailed to multiple sites or posted to a listserv without the copyright holder's express written permission. However, users may print, download, or email articles for individual use. This abstract may be abridged. No warranty is given about the accuracy of the copy. Users should refer to the original published version of the material for the full abstract. (Copyright applies to all Abstracts.)

Among the Abinger Papers in the Bodleian Library is a document, MS. Abinger c. 73, fols. 99–104, the testimony of one William Tyler, a draper's assistant from Marlow, Buckinghamshire who wrote poems and saw the Shelleys plain. Jane, Lady Shelley (the wife of the Shelleys' only surviving son, Sir Percy Florence) gathered as many reminiscences of her father-in-law as she could. Tyler's is by far the longest. (Appended to this essay is a transcription of his testimony reproduced in full for the first time). Tyler has been virtually erased from the literary and biographical records of the Shelleys, save for one footnote. Edward Dowden made use of his testimony for The Life of Percy Bysshe Shelley (1886), but whilst some of Tyler's words are artfully deployed to bolster the memories of another, others are cut from the record altogether. This essay tells the remarkable story of Tyler, a man unknown to fame, who deserves to be remembered. For one, he provides the only surviving verbatim record of the contents of a journal kept by Mary Shelley which covered the events of May 1815 to June 1816. Who was William Tyler and how did he come to turn those lost pages? [ABSTRACT FROM AUTHOR]

• Transcription had a strong constraining effect on composition quality and productivity. • Transcription moderates the relation between oral language and composition quality. • No signification moderation of transcription on the oral language-composition productivity relation. In the present study we examined the contributions of transcription and foundational oral language skills to written composition outcomes in a sample of kindergartners. Two hundred and eighty-two kindergarten students from 49 classrooms participated in this study. Children's writing-related skills were examined using various tasks. Latent structural equation modeling was used to test the hypothesis that transcription moderates the relation between foundational oral language and compositional productivity and quality for kindergarten writers. This hypothesis is one possible manifestation of the Developmental Constraints Hypothesis (DCH). In support of the DCH, transcription had a strong constraining effect on both composition quality and productivity. Additionally, transcription moderated the relation between foundational oral language skills and composition quality, although the moderation was negative. There was no signification moderation of transcription on the foundational oral language -composition productivity relation. Implications of the findings and future directions are discussed including challenges assessing composition in young, beginning writers. [ABSTRACT FROM AUTHOR]

In evaluating the severity of depression, we rigorously investigate a segmented deep learning framework that employs speech transcriptions for predicting levels of depression. Within this framework, we examine the effectiveness of well-known deep learning models for generating useful features for gauging depression. We validate the chosen models using the openly accessible Extended Distress Analysis Interview Corpus (EDAIC) as a dataset. Through our findings and analytical commentary, we demonstrate that valuable features for depression severity estimation can be achieved without leveraging the sequential relationships among textual descriptors. Specifically, temporal aggregation of latent representations surpasses the current bestperforming methods that utilize recurrent models, exhibiting an 8.8% improvement in Concordance Correlation Coefficient (CCC). [ABSTRACT FROM AUTHOR]

Space-time in quantum mechanics is about bridging Hilbert and configuration space. Thereby, an entirely new perspective is obtained by replacing the Newtonian space-time theater with the image of a presumably high-dimensional Hilbert space, through which space-time becomes an epiphenomenon construed by internal observers. [ABSTRACT FROM AUTHOR]