bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disrupted Delivery of Special Education Services and Accommodations
Authors: Colvin Molly , Reesman Jennifer Linton , Glen Tannahill 
Published: August 2024

Abstract
Special education services and accommodations provided in the educational system were significantly disrupted during the COVID-19 pandemic. This chapter reviews the basics of special education services, including the laws, regulations, and processes that govern identification and implementation of these services. Delayed initiation of both early intervention and special education services occurred, and the scale of this is reviewed, as well as its impact on children with disabilities. Specific services that were most likely to be impacted included those serving children with the most needs. Potential remedies for disruption are reviewed, and a case illustration of a child who experienced delayed identification of disability, disrupted service delivery, and required support to receive compensatory services is included.
Biological Ornament, Difficult Ornament
Authors: Mlinko Ange 
Published: August 2024

Abstract
Different landscapes elicit different imaginative responses. The tropical abundance of Florida provides a new template for poetry in English, which originated in a northern climate. Renaissance poets and critics in England debated the merits of the plain style versus the ornate Petrarchists in a “poetomachia,” and twentieth-century American poets inherited a version of this “style war.” Poets signal peacockery with rich vocabulary, puns, rhyme, elaborate syntax, macaronics, and stanzaic complexity. These were dubbed “difficult ornaments” by classical rhetoricians, and they correspond to “biological ornaments” that zoologists identify in the animal world that decorate, and often hinder, the body. The classic example is the peacock, so it is no accident that the poets who most delight in difficult ornaments, like Wallace Stevens and James Merrill, took peacocks as figures for their poetry.
Elizabeth Bishop
Authors: Mlinko Ange 
Published: August 2024

Abstract
Elizabeth Bishop first visited Florida on a fishing trip to Naples in 1936 and moved to Key West the following year, where she lived off and on through the 1940s, producing renowned poems about her new home state: “Florida,” “The Bight,” “Jerónimo’s House,” “The Fish,” and “Roosters,” among others. This chapter explores these poems through a study of unpublished drafts, letters, and journals written in her Key West years, as well as the influence of Wallace Stevens and her mentor, Marianne Moore, both of whom had provided models for writing about Florida. This chapter also discusses her departure from Stevens’s stylistic excesses as well as the limits of a social realist style.
James Merrill
Authors: Mlinko Ange 
Published: August 2024

Abstract
James Merrill, the son of Florida natives, was raised partly in Palm Beach, on an estate called Merrill’s Landing. This landscape would reappear, dreamlike, in many Merrill poems, including “From the Cupola,” “Lost in Translation,” “Quatrains for Pegasus,” “Southern Belle,” and “Two from Florida.” In middle age, Merrill purchased a house in Key West and wrote further Florida poems, including “Clearing the Title.” This chapter discusses Merrill’s “sources” for poetry, including the springs of Florida, focusing on “Developers at Crystal River” as an emblematic poem about maternal love, ecological peril, and poetic sources. Florida becomes a means of avoiding stylistic and psychological rigidity through the figure of underground streams and limestone landscapes.
Refining computational inference of gene regulatory networks: integrating knockout data within a multi-task framework
Authors: Cui Wentao , Long Qingqing , Xiao Meng , Wang Xuezhi , Feng Guihai , Li Xin , Wang Pengfei , Zhou Yuanchun 
Published: August 2024

Abstract
Constructing accurate gene regulatory network s (GRNs), which reflect the dynamic governing process between genes, is critical to understanding the diverse cellular process and unveiling the complexities in biological systems. With the development of computer sciences, computational-based approaches have been applied to the GRNs inference task. However, current methodologies face challenges in effectively utilizing existing topological information and prior knowledge of gene regulatory relationships, hindering the comprehensive understanding and accurate reconstruction of GRNs. In response, we propose a novel graph neural network (GNN)-based Multi-Task Learning framework for GRN reconstruction, namely MTLGRN. Specifically, we first encode the gene promoter sequences and the gene biological features and concatenate the corresponding feature representations. Then, we construct a multi-task learning framework including GRN reconstruction, Gene knockout predict, and Gene expression matrix reconstruction. With joint training, MTLGRN can optimize the gene latent representations by integrating gene knockout information, promoter characteristics, and other biological attributes. Extensive experimental results demonstrate superior performance compared with state-of-the-art baselines on the GRN reconstruction task, efficiently leveraging biological knowledge and comprehensively understanding the gene regulatory relationships. MTLGRN also pioneered attempts to simulate gene knockouts on bulk data by incorporating gene knockout information.
Integrated multi-omics with machine learning to uncover the intricacies of kidney disease
Authors: Liu Xinze , Shi Jingxuan , Jiao Yuanyuan , An Jiaqi , Tian Jingwei , Yang Yue , Zhuo Li 
Published: August 2024

Abstract
The development of omics technologies has driven a profound expansion in the scale of biological data and the increased complexity in internal dimensions, prompting the utilization of machine learning (ML) as a powerful toolkit for extracting knowledge and understanding underlying biological patterns. Kidney disease represents one of the major growing global health threats with intricate pathogenic mechanisms and a lack of precise molecular pathology-based therapeutic modalities. Accordingly, there is a need for advanced high-throughput approaches to capture implicit molecular features and complement current experiments and statistics. This review aims to delineate strategies for integrating multi-omics data with appropriate ML methods, highlighting key clinical translational scenarios, including predicting disease progression risks to improve medical decision-making, comprehensively understanding disease molecular mechanisms, and practical applications of image recognition in renal digital pathology. Examining the benefits and challenges of current integration efforts is expected to shed light on the complexity of kidney disease and advance clinical practice.
Assessing next-generation sequencing-based computational methods for predicting transcriptional regulators with query gene sets
Authors: Lu Zeyu , Xiao Xue , Zheng Qiang , Wang Xinlei , Xu Lin 
Published: August 2024

Abstract
This article provides an in-depth review of computational methods for predicting transcriptional regulators (TRs) with query gene sets. Identification of TRs is of utmost importance in many biological applications, including but not limited to elucidating biological development mechanisms, identifying key disease genes, and predicting therapeutic targets. Various computational methods based on next-generation sequencing (NGS) data have been developed in the past decade, yet no systematic evaluation of NGS-based methods has been offered. We classified these methods into two categories based on shared characteristics, namely library-based and region-based methods. We further conducted benchmark studies to evaluate the accuracy, sensitivity, coverage, and usability of NGS-based methods with molecular experimental datasets. Results show that BART, ChIP-Atlas, and Lisa have relatively better performance. Besides, we point out the limitations of NGS-based methods and explore potential directions for further improvement.
Immigration and Crime: Is the Relationship Nonlinear?
Authors: Kubrin Charis E , Luo Xiaoshuang Iris , Hipp John R 
Published: August 2024

Abstract
Research finds that immigration and crime are not related across neighbourhoods, contrary to social disorganization theory and consistent with the immigration revitalization thesis. This research, however, is largely silent as to any possible nonlinear effects. Yet social theory offers sound reasons for why the immigration–crime association may be nonlinear; explanations, including immigrant/ethnic enclave theory and immigrant victimization theory, underscore potential concentration effects—albeit in different ways. Using a novel dataset with information on crime in over 15,000 neighbourhoods across a diverse range of US cities, we examine whether or not the immigration–crime association is nonlinear. We find that for both violent and property crime, a nonlinear relationship best captures the relationship. In additional analyses, we determine the theoretical perspective with which the findings are most consistent.
Cortical–subcortical interactions underlie processing of auditory predictions measured with 7T fMRI
Authors: Ara Alberto , Provias Vasiliki , Sitek Kevin , Coffey Emily B J , Zatorre Robert J 
Published: August 2024

Abstract
Perception integrates both sensory inputs and internal models of the environment. In the auditory domain, predictions play a critical role because of the temporal nature of sounds. However, the precise contribution of cortical and subcortical structures in these processes and their interaction remain unclear. It is also unclear whether these brain interactions are specific to abstract rules or if they also underlie the predictive coding of local features. We used high-field 7T functional magnetic resonance imaging to investigate interactions between cortical and subcortical areas during auditory predictive processing. Volunteers listened to tone sequences in an oddball paradigm where the predictability of the deviant was manipulated. Perturbations in periodicity were also introduced to test the specificity of the response. Results indicate that both cortical and subcortical auditory structures encode high-order predictive dynamics, with the effect of predictability being strongest in the auditory cortex. These predictive dynamics were best explained by modeling a top–down information flow, in contrast to unpredicted responses. No error signals were observed to deviations of periodicity, suggesting that these responses are specific to abstract rule violations. Our results support the idea that the high-order predictive dynamics observed in subcortical areas propagate from the auditory cortex.
Multi-head CRF classifier for biomedical multi-class named entity recognition on Spanish clinical notes
Authors: Jonker Richard A A , Almeida Tiago , Antunes Rui , Almeida João R , Matos Sérgio 
Published: August 2024

AbstractThe identification of medical concepts from clinical narratives has a large interest in the biomedical scientific community due to its importance in treatment improvements or drug development research. Biomedical named entity recognition (NER) in clinical texts is crucial for automated information extraction, facilitating patient record analysis, drug development, and medical research. Traditional approaches often focus on single-class NER tasks, yet recent advancements emphasize the necessity of addressing multi-class scenarios, particularly in complex biomedical domains. This paper proposes a strategy to integrate a multi-head conditional random field (CRF) classifier for multi-class NER in Spanish clinical documents. Our methodology overcomes overlapping entity instances of different types, a common challenge in traditional NER methodologies, by using a multi-head CRF model. This architecture enhances computational efficiency and ensures scalability for multi-class NER tasks, maintaining high performance. By combining four diverse datasets, SympTEMIST, MedProcNER, DisTEMIST, and PharmaCoNER, we expand the scope of NER to encompass five classes: symptoms, procedures, diseases, chemicals, and proteins. To the best of our knowledge, these datasets combined create the largest Spanish multi-class dataset focusing on biomedical entity recognition and linking for clinical notes, which is important to train a biomedical model in Spanish. We also provide entity linking to the multi-lingual Systematized Nomenclature of Medicine Clinical Terms (SNOMED CT) vocabulary, with the eventual goal of performing biomedical relation extraction. Through experimentation and evaluation of Spanish clinical documents, our strategy provides competitive results against single-class NER models. For NER, our system achieves a combined micro-averaged F1-score of 78.73, with clinical mentions normalized to SNOMED CT with an end-to-end F1-score of 54.51. The code to run our system is publicly available at https://github.com/ieeta-pt/Multi-Head-CRF.Database URL: https://github.com/ieeta-pt/Multi-Head-CRF
Scout images acquired prior to cone beam CT acquisitions: reproducibility of findings and added diagnostic information
Authors: Christensen Jennifer , Matzen Louise Hauge , Hedegaard Mette , Spin-Neto Rubens 
Published: August 2024

Abstract

Objectives
The aim of the present study was to assess the reproducibility of findings in cone beam CT (CBCT) scout images. Furthermore, the study aimed to assess whether a scout image shows pathology not seen within the CBCT volume (ie, added diagnostic information) and therefore must be assessed on the same terms as the full volume.

Methods
Using a retrospective design, 233 CBCT reports and scout images were assessed. Kappa statistics and percentage of accordance were used to evaluate intra- and inter-observer reproducibility as well as agreement between scout and CBCT report.

Results
Intra- and inter-observer reproducibility was overall low (kappa ranging from −0.008 to 1.000). Agreement between findings reported in the CBCT and scout was also low. One hundred fourteen impacted teeth, one apical periodontitis, and two sinus conditions seen in the scout image were not registered in the full volume report due to the extended size of the scout image.

Conclusions
Reproducibility of findings in scout images compared to CBCT volumes was low, and the scout showed very little additional diagnostic information.

Advances in knowledge
This study shows that although the reproducibility of viewing scout images is low, rare findings can go undetected if the scout is not assessed. Legislation regarding interpretation of scout images needs to be discussed.
House Prices and Misallocation: The Impact of the Collateral Channel on Productivity
Authors: Basco Sergi , Lopez-Rodriguez David , Moral-Benito Enrique 
Published: August 2024

Abstract
This paper investigates the impact of local house price booms on capital misallocation within industries. Using the geographical variation provided by the Spanish housing boom (2003–7), we show that firms exposed to positive local house price shocks received more bank credit and their investment grew more when they had a higher proportion of real estate assets. This collateral channel results in an increasing dispersion of the capital-labour ratio within industries. A counterfactual calculation suggests that the capital misallocation generated by this channel can account for around 40% of the total factor productivity decline experienced by the Spanish economy during the housing boom.
Self-assessment for primary English language teachers in Europe
Authors: Kemsies Ronald , Hellmayr Georg 
Published: August 2024

Abstract
In this article we introduce a practical self-assessment tool for primary English language teachers which can be used in pre-service as well as in in-service contexts. It consists of methodological descriptors that have been derived from a qualitative analysis of representative textbooks. Through the application of thematic coding, common approaches and techniques could be identified and systematically structured. With the help of scales underneath each descriptor primary teachers can rate their individual progress and reflect on their didactic strengths and weaknesses. We also discuss some considerations when implementing the framework regarding teacher education and curricular requirements, as well as some limitations.
Silence in the Classroom: Reflections on Teaching Poetry in UK Secondary Schools and Universities
Authors: Blackmore John 
Published: August 2024

Abstract
This extended contribution to English’s forum on teaching poetry seeks to shift discussion away from the capabilities, expectations, and motivations of students in university poetry seminars and invite university educators to reflect on how aspects of their practice consciously and unconsciously effect how poetry is understood by new generations. The article recounts how the author’s understanding of silence in poetry classrooms in schools and universities has developed over time. In doing so, it models processes of reflective practice and reflexivity that might be less familiar to university teaching colleagues than it is to those who have undertaken training to teach in schools. The article argues that engaging with processes of reflective practice not only stands to benefit individual poetry teachers and their students, but can also empower us to think more critically and collectively about the purposes we serve and the principles that underpin our work as educators in the discipline of English.
Screening and detection of atrial fibrillation in primary care: current practice and future perspectives
Authors: Brik Tessa , Harskamp Ralf E , Himmelreich Jelle C L 
Published: August 2024

Abstract
Atrial fibrillation (AF) is a common arrhythmia associated with an increased risk of stroke, which can be effectively reduced by prophylaxis initiation and integrated care to reduce cardiovascular risk and AF-related complications. Screening for AF has the potential to improve long-term clinical outcomes through timely AF detection in asymptomatic patients. With the central role of primary care in most European healthcare systems in terms of disease detection, treatment, as well as record keeping, primary care is ideally situated as a setting for AF screening efforts. In this review, we provide an overview of evidence relating to AF screening in primary care. We discuss current practices of AF detection and screening, evidence from AF screening trials conducted in primary care settings, stakeholder views on barriers and facilitators for AF screening in primary care, and important aspects that will likely shape routine primary care AF detection as well as AF screening efforts. Finally, we present a potential outline for a primary care–centred AF screening trial coupled to integrated AF care that could further improve the benefit of AF screening.
Direct oral anticoagulants for stroke prevention in patients with device-detected atrial fibrillation: assessing net clinical benefit
Authors: McIntyre William F , Benz Alexander P , Tojaga Nedim , Brandes Axel , Lopes Renato D , Healey Jeff S 
Published: August 2024

Abstract
Subclinical, device-detected atrial fibrillation (AF) is frequently recorded by pacemakers and other implanted cardiac rhythm devices. Patients with device-detected AF have an elevated risk of stroke, but a lower risk of stroke than similar patients with clinical AF captured with surface electrocardiogram. Two randomized clinical trials (NOAH-AFNET 6 and ARTESiA) have tested a direct oral anticoagulant (DOAC) against aspirin or placebo. A study-level meta-analysis of the two trials found that treatment with a DOAC resulted in a 32% reduction in ischaemic stroke and a 62% increase in major bleeding; the results of the two trials were consistent. The annualized rate of stroke in the control arms was ∼1%. Several factors point towards overall net benefit from DOAC treatment for patients with device-detected AF. Strokes in ARTESiA were frequently fatal or disabling and bleeds were rarely lethal. The higher absolute rates of major bleeding compared with ischaemic stroke while on treatment with a DOAC in the two trials are consistent with the ratio of bleeds to strokes seen in the pivotal DOAC vs. warfarin trials in patients with clinical AF. Prior research has concluded that patients place a higher emphasis on stroke prevention than on bleeding. Further research is needed to identify the characteristics that will help identify patients with device-detected AF who will receive the greatest benefit from DOAC treatment.
Caregiving for patients with atrial fibrillation: a systematic review of the scientific literature
Authors: Bouchard Karen , Chiarelli Alexandra , Dozois Sophie , Reed Jennifer , Visintini Sarah , Tulloch Heather 
Published: August 2024

Abstract

Aims
Caregiving processes and outcomes have been increasingly articulated in the cardiovascular literature, particularly in heart failure and coronary artery disease, but there has been no synthesis on caregiving for a patient with atrial fibrillation (AF). This review synthesizes scientific evidence that describes caregiving in the context of AF, with the aim of informing future research priorities for AF caregiving or clinical approaches that may support caregivers.

Methods and results
Informed by PRISMA guidelines, we conducted a mixed-methods systematic review with a data-based convergence design using a thematic synthesis approach. All studies that examined factors related to caregiving for patients with AF, as either a descriptive, predictor, or outcome variable, were included. After the search, data from 13 studies were abstracted; half of the studies (53%) were of low-to-moderate quality. Changes to the family unit and feelings of uncertainty are common post-AF; a subset of caregivers struggle with mental health challenges, particularly those who are unwell themselves or those who provide several hours of care to patients with more advanced symptoms or limitations. Informational support for caregivers appears to be lacking but is desired to better adapt to the changes or consequences incurred from AF.

Conclusion
This review complements findings from previous reviews conducted in other cardiovascular disease subgroups. As there is still limited high-quality research on caregiving in an AF context, additional research is required to adequately inform supportive programming for caregivers of patients with AF, if indicated.

Registration
PROSPERO: CRD4202339778.
Cardioneuroablation for the treatment of reflex syncope and functional bradyarrhythmias: A Scientific Statement of the European Heart Rhythm Association (EHRA) of the ESC, the Heart Rhythm Society (HRS), the Asia Pacific Heart Rhythm Society (APHRS) and the Latin American Heart Rhythm Society (LAHRS)
Authors: Aksu Tolga , Brignole Michele , Calo Leonardo , Debruyne Philippe , Di Biase Luigi , Deharo Jean Claude , Fanciulli Alessandra , Fedorowski Artur , Kulakowski Piotr , Morillo Carlos , Moya Angel , Piotrowski Roman , Stec Sebastian , Sutton Richard , van Dijk J Gert , Wichterle Dan , Tse Hung-Fat , Yao Yan , Sheldon Robert S , Vaseghi Marmar , Pachon Jose C , Scanavacca Maurício , Meyer Christian , Amin Reshma , Gupta Dhiraj , Magnano Massimo , Malik Varun , Schauerte Patrick , Shen Win-Kuang , Acosta Juan Carlos Zerpa 
Published: August 2024

Abstract
Cardioneuroablation has emerged as a potential alternative to cardiac pacing in selected cases with vasovagal reflex syncope, extrinsic vagally induced sinus bradycardia-arrest or atrioventricular block. The technique was first introduced decades ago, and its use has risen over the past decade. However, as with any intervention, proper patient selection and technique are a prerequisite for a safe and effective use of cardioneuroablation therapy. This document aims to review and interpret available scientific evidence and provide a summary position on the topic.