bluuebunny/crossref_metadata_2025_split huggingface dataset:
Machine Learning to Allocate Palliative Care Consultations During Cancer Treatment
Authors: He Jiang Chen , Moffat Gordon Taylor , Podolsky Sho , Khan Ferhana , Liu Ning , Taback Nathan , Gallinger Steven , Hannon Breffni , Krzyzanowska Monika K. , Ghassemi Marzyeh , Chan Kelvin K.W. , Grant Robert C. 
Published: February 2024

PURPOSE
For patients with advanced cancer, early consultations with palliative care (PC) specialists reduce costs, improve quality of life, and prolong survival. However, capacity limitations prevent all patients from receiving PC shortly after diagnosis. We evaluated whether a prognostic machine learning system could promote early PC, given existing capacity.

METHODS
Using population-level administrative data in Ontario, Canada, we assembled a cohort of patients with incurable cancer who received palliative-intent systemic therapy between July 1, 2014, and December 30, 2019. We developed a machine learning system that predicted death within 1 year of each treatment using demographics, cancer characteristics, treatments, symptoms, laboratory values, and history of acute care admissions. We trained the system in patients who started treatment before July 1, 2017, and evaluated the potential impact of the system on PC in subsequent patients.

RESULTS

Among 560,210 treatments received by 54,628 patients, death occurred within 1 year of 45.2% of treatments. The machine learning system recommended the same number of PC consultations observed with usual care at the 60.0% 1-year risk of death, with a first-alarm positive predictive value of 69.7% and an outcome-level sensitivity of 74.9%. Compared with usual care, system-guided care could increase early PC by 8.5% overall (95% CI, 7.5 to 9.5;
P
< .001) and by 15.3% (95% CI, 13.9 to 16.6;
P
< .001) among patients who live 6 months beyond their first treatment, without requiring more PC consultations in total or substantially increasing PC among patients with a prognosis exceeding 2 years.

CONCLUSION
Prognostic machine learning systems could increase early PC despite existing resource constraints. These results demonstrate an urgent need to deploy and evaluate prognostic systems in real-time clinical practice to increase access to early PC.
“Through Death’s Wilderness”: Malaria, Seminole Environmental Knowledge, and the Florida Wars of Removal
Authors: Elliott C. R. 
Published: February 2024

AbstractFor more than fifty years the United States waged wars of removal in Florida against the Seminole Indians. This article unpacks how the Seminoles deployed their knowledge about Florida’s environment and, crucially, an understanding of American fears about Florida’s environment to resist removal and the loss of territory. Taking Seminole movement, home construction, and language and placing it in dialogue with sources from soldiers and settlers involved in the wars, this article reveals a new facet of Indigenous resistance to colonial violence, rooted in relationships with the natural world. Finally, this essay recasts disease in the history of Native North America as potentially liberatory, as different lifeways exposed different populations to mosquitoes and their diseases.
Adult zebrafish as advanced models of human disease
Authors: White Richard M. , Patton E. Elizabeth 
Published: February 2024

ABSTRACT
Modelling adult diseases to understand their aetiology and progression, and to develop new therapies, is a major challenge for medical biology. We are excited by new efforts in the zebrafish community to develop models of adult diseases that range from cancer to heart, infectious and age-related diseases, and those that relate to toxicology and complex social behaviours. Here, we discuss some of the advances in the field of zebrafish models of adult disease, and where we see opportunities and challenges ahead.
Scaling relationships between human leg muscle architectural properties and body size
Authors: Son Jongsang , Ward Samuel R. , Lieber Richard L. 
Published: February 2024

ABSTRACT
A skeletal muscle's peak force production and excursion are based on its architectural properties that are, in turn, determined by its mass, muscle fiber length and physiological cross-sectional area (PCSA). In the classic interspecific study of mammalian muscle scaling, it was demonstrated that muscle mass scales positively allometrically with body mass whereas fiber length scales isometrically with body mass, indicating that larger mammals have stronger leg muscles than they would if they were geometrically similar to smaller ones. Although this relationship is highly significant across species, there has never been a detailed intraspecific architectural scaling study. We have thus created a large dataset of 896 muscles across 34 human lower extremities (18 females and 16 males) with a size range including approximately 90% and 70% of the United States population height and mass, respectively, across the range 36–103 years. Our purpose was to quantify the scaling relationships between human muscle architectural properties and body size. We found that human muscles depart greatly from isometric scaling because muscle mass scales with body mass1.3 (larger exponent than isometric scaling of 1.0) and muscle fiber length scales with negative allometry with body mass0.1 (smaller exponent than isometric scaling of 0.33). Based on the known relationship between architecture and function, these results suggest that human muscles place a premium on muscle force production (mass and PCSA) at the expense of muscle excursion (fiber length) with increasing body size, which has implications for understanding human muscle design as well as biomechanical modeling.
Health outcomes after myocardial infarction: A population study of 56 million people in England
Authors: Hall Marlous , Smith Lesley , Wu Jianhua , Hayward Chris , Batty Jonathan A. , Lambert Paul C. , Hemingway Harry , Gale Chris P. 
Published: February 2024

Background
The occurrence of a range of health outcomes following myocardial infarction (MI) is unknown. Therefore, this study aimed to determine the long-term risk of major health outcomes following MI and generate sociodemographic stratified risk charts in order to inform care recommendations in the post-MI period and underpin shared decision making.

Methods and findings
This nationwide cohort study includes all individuals aged ≥18 years admitted to one of 229 National Health Service (NHS) Trusts in England between 1 January 2008 and 31 January 2017 (final follow-up 27 March 2017). We analysed 11 non-fatal health outcomes (subsequent MI and first hospitalisation for heart failure, atrial fibrillation, cerebrovascular disease, peripheral arterial disease, severe bleeding, renal failure, diabetes mellitus, dementia, depression, and cancer) and all-cause mortality. Of the 55,619,430 population of England, 34,116,257 individuals contributing to 145,912,852 hospitalisations were included (mean age 41.7 years (standard deviation [SD 26.1]); n = 14,747,198 (44.2%) male). There were 433,361 individuals with MI (mean age 67.4 years [SD 14.4)]; n = 283,742 (65.5%) male). Following MI, all-cause mortality was the most frequent event (adjusted cumulative incidence at 9 years 37.8% (95% confidence interval [CI] [37.6,37.9]), followed by heart failure (29.6%; 95% CI [29.4,29.7]), renal failure (27.2%; 95% CI [27.0,27.4]), atrial fibrillation (22.3%; 95% CI [22.2,22.5]), severe bleeding (19.0%; 95% CI [18.8,19.1]), diabetes (17.0%; 95% CI [16.9,17.1]), cancer (13.5%; 95% CI [13.3,13.6]), cerebrovascular disease (12.5%; 95% CI [12.4,12.7]), depression (8.9%; 95% CI [8.7,9.0]), dementia (7.8%; 95% CI [7.7,7.9]), subsequent MI (7.1%; 95% CI [7.0,7.2]), and peripheral arterial disease (6.5%; 95% CI [6.4,6.6]). Compared with a risk-set matched population of 2,001,310 individuals, first hospitalisation of all non-fatal health outcomes were increased after MI, except for dementia (adjusted hazard ratio [aHR] 1.01; 95% CI [0.99,1.02];p = 0.468) and cancer (aHR 0.56; 95% CI [0.56,0.57];p < 0.001).
The study includes data from secondary care only—as such diagnoses made outside of secondary care may have been missed leading to the potential underestimation of the total burden of disease following MI.

Conclusions
In this study, up to a third of patients with MI developed heart failure or renal failure, 7% had another MI, and 38% died within 9 years (compared with 35% deaths among matched individuals). The incidence of all health outcomes, except dementia and cancer, was higher than expected during the normal life course without MI following adjustment for age, sex, year, and socioeconomic deprivation. Efforts targeted to prevent or limit the accrual of chronic, multisystem disease states following MI are needed and should be guided by the demographic-specific risk charts derived in this study.
Investigation of new inflammatory biomarkers in patients with brucella
Authors: Canpolat Erkan Revşa Evin , Tekin Recep 
Published: February 2024

Background
Delayed diagnosis and inadequate treatment of infectious and inflammatory diseases, such as Brucella, lead to high rates of mortality and morbidity. The aim of our study was to investigate the association between serum levels of apelin, presepsin, and irisin with inflammation, laboratory parameters, and blood culture in patients with brucella.

Patients and methods
This prospective case-control study involves 30 patients with brucellosis and 30 healthy, matched control subjects. Thirty patients who were diagnosed with brucellosis were aged ≥ 18 years. Blood samples were taken from the patients on the first day they were diagnosed with brucellosis. The values of irisin, presepsin, and apelin were studied. In addition, blood samples were also taken from 30 healthy individuals for the control group. Irisin, presepsin, and apelin values that were measured in the patients on the first day were compared with those values measured in the control group.

Results
The sex and age statuses of the subjects are matched among the groups. The levels of irisin were significantly higher in patients with brucellosis compared to the control group (p<0.045). There was no significant difference between the two groups in terms of apelin and presepsin levels (p values 0.087 and 0.162, respectively). There was a positive correlation between irisin levels and elevated ALT levels, as well as positive blood cultures.

Conclusions
It appears that the measurement of irisin levels may be beneficial in patients with brucellosis. Irisin can be used as a diagnostic marker for brucella infection and may greatly clinicians to predict the severity disease and treatment response.
Self-care interventions to assist family physicians with mental health care of older patients during the COVID-19 pandemic: Feasibility, acceptability, and outcomes of a pilot randomized controlled trial
Authors: Yaffe Mark J. , McCusker Jane , Lambert Sylvie D. , Haggerty Jeannie , Meguerditchian Ari N. , Pineault Marc , Barnabé Alexandra , Belzile Eric , Minotti Simona , de Raad Manon 
Published: February 2024

Background
The COVID-19 pandemic has required family physicians to rapidly address increasing mental health problems with limited resources. Vulnerable home-based seniors with chronic physical conditions and commonly undermanaged symptoms of anxiety and depression were recruited in this pilot study to compare two brief self-care intervention strategies for the management of symptoms of depression and/or anxiety.

Methods
We conducted a pilot RCT to compare two tele-health strategies to address mental health symptoms either with 1) validated CBT self-care tools plus up to three telephone calls from a trained lay coach vs. 2) the CBT self-guided tools alone. The interventions were abbreviated from those previously trialed by our team, to enable their completion in 2 months. Objectives were to assess the feasibility of delivering the interventions during a pandemic (recruitment and retention); and assess the comparative acceptability of the interventions across the two groups (satisfaction and tool use); and estimate preliminary comparative effectiveness of the interventions on severity of depression and anxiety symptoms. Because we were interested in whether the interventions were acceptable to a wide range of older adults, no mental health screening for eligibility was performed.

Results
90 eligible patients were randomized. 93% of study completers consulted the self-care tools and 84% of those in the coached arm received at least some coaching support. Satisfaction scores were high among participants in both groups. No difference in depression and anxiety outcomes between the coached and non-coached participants was observed, but coaching was found to have a significant effect on participants’ use and perceived helpfulness of the tools.

Conclusion
Both interventions were feasible and acceptable to patients. Trained lay coaching increased patients’ engagement with the tools. Self-care tools offer a low cost and acceptable remote activity that can be targeted to those with immediate needs. While effectiveness results were inconclusive, this may be due to the lack of eligibility screening for mental health symptoms, abbreviated toolkit, and fewer coaching sessions than those used in our previous effective interventions.

Trial registration
ClinicalTrials.gov Identifier: NCT0460937.
Understanding determinants related to farmers’ protective measures towards pesticide exposure: A systematic review
Authors: Kangavari Mehdi , Sarvi Mahsa , Afshari Maryam , Maleki Shahnaz 
Published: February 2024

Objective
Pesticide poisoning is the main cause of adverse effects and mortality worldwide. Protective measures can reduce the intensity of the effects of pesticides on the health of farmers. Numerous cross-sectional studies have been conducted on the determinants of performing protective measures to reduce exposure to pesticides, but there is no systematic study that comprehensively examines the impact of these factors. Therefore, the aim of this study is to identify existing studies on the determinants of effective protective measures to reduce exposure to pesticides among farmers.

Methods
In this systematic review, studies were obtained from PubMed, Web of Science and Scopus databases using a search strategy that covered articles from the first years of database design to April 20, 2023. The inclusion and exclusion criteria were based on the PICOs criteria. The study included cross-sectional studies that measured the implementation of protective measures using objective or valid subjective tools. The data were extracted and analyzed based on several criteria and ecological levels. The Ecological Model of Health Behavior was used to classify the determinants that affect the performance of protective behaviors. The National Heart, Lung and Blood Institute (NHLBI) has developed a quality assessment tool for studies.

Results
A total of 39 studies were ultimately selected for inclusion in this analysis. Many of these studies were conducted in developing countries. The most important factors that have an impact on protective measures include a variety of socio-demographic characteristics (age, gender, level of education, income, farming experience, experience of using pesticides), individual level (knowledge, attitude, risk perception, intention), interpersonal level (subjective norms), organizational level (education), and public policy level (government attention, health costs, governmental extension services). The quality of most studies was fair.

Conclusions
Research indicates that several factors influence the use of personal protective equipment and safe behaviors when handling pesticides. These include farmers’ education level, knowledge, and attitudes towards safety measures. Environmental factors such as access to information, extension services, training programs, and media coverage can also help minimize exposure to pesticides.
EPANet-KD: Efficient progressive attention network for fine-grained provincial village classification via knowledge distillation
Authors: Zhang Cheng , Liu Chunqing , Gong Huimin , Teng Jinlin 
Published: February 2024

Objective
Fine-grained classification of historical traditional villages plays a crucial role in guiding the future development and construction of urban and rural areas. This study aims to propose a new dataset for fine-grained classification of traditional villages and to propose an efficient progressive attention network for the problem of low accuracy and efficiency of fine-grained traditional historical village classification.

Methods and results
Firstly, in order to further study the long-standing problem of fine-grained classification of traditional villages, a new fine-grained classification dataset of traditional villages containing 4,400 images, referred to as PVCD, is proposed by crawling and hand-arranging. Secondly, a new Progressive Attention Module, abbreviated as PAM, is also proposed. PAM engages in attentional modeling of prominent spatial features within the spatial dimension, subsequently applying attentional modeling to channel features beneath the identified salient spatial features. This process involves salient spatial feature attention modeling of prominent channel features within the dimension to extract discriminative information for fine-grained classification, thereby enhancing the performance of classifying traditional villages with precision. Finally, a new knowledge distillation strategy of softened alignment distillation, or SAD for short, is proposed, which simply and efficiently transfers the knowledge of softened category probability distributions through. Notably, based on the above proposed PAM, the lightweight EPANet-Student and the heavyweight EPANet-Teacher are proposed. In addition, the heavyweight EPANet-Teacher transfers the knowledge of fine-grained categorization of traditional villages to the lightweight EPANet-Student through the proposed SAD, abbreviated as EPANet-KD. The experimental results show that the proposed EPANet-Teacher achieves state-of-the-art performance with an accuracy of 67.27%, and the proposed EPANet-KD achieves comparable performance to the proposed EPANet-Teacher with 3.32M parameters and 0.42G computation.

Conclusion
The proposed EPANet-KD maintains a good balance of accuracy and efficiency in the fine-grained classification of traditional villages, considerably promoting the research on the fine-grained classification of traditional villages. In addition, it facilitates the digital preservation and development of traditional villages. All datasets, codes and benchmarking results are publicly available for the promotion of this research area. https://github.com/Jack13026212687/EPANet-KD.
Blessures volontaires ou accidents du travail dans un camp pénal sénégalais (années 1940) ? Le rapport d'enquête au service de l'ordre colonial
Authors: Tiquet Romain 
Published: February 2024

Abstract
Le document présenté est tiré d'un corpus de quatre rapports de blessures volontaires survenues dans un camps pénal sénégalais au début des années 1940. À travers l'analyse de ces rapports, il est possible de proposer plusieurs pistes d'analyse réflexive d'une archive coloniale, entendue non pas comme simple source, mais avant tout comme un outil produit et utilisé par le pouvoir colonial. L'utilisation de l’écriture par l'administration coloniale n'est pas seulement guidée par la nécessité technique de la transmission et de la communication des informations. Elle représente un langage spécifique qui permet de rendre compte de la « colonialité » de l'archive dans ce contexte, et qui souligne comment le langage administratif remplit aussi des fonctions de suggestion et d'omission pour éviter le recours à l'argumentation. Mettre à nu ces habitudes, ces routines dans l’écriture, révèle plus largement un certain nombre d’éléments sur la dialectique coloniale et le fonctionnement interne à l'administration.
Going Nowhere, Being No One: Navigating Space and Identity in Jean Rhys’s Wide Sargasso Sea
Authors: van Straten Lisa 
Published: February 2024

Identity has arguably been the most prominent theme in the works of postcolonial theorists and has been approached from various viewpoints that generally fall into two groups: a melancholic idiom of ‘in-betweenness’ or a celebratory focus on hybridity and multiculturalism. These conceptions of identity implicitly rely on notions of (cultural) space as largely homogenous and demarcated by boundaries, which can either (I) exclude, resulting in artificial, essentialised identities and in-between non-identities, or (II) include, enabling connections that can result in multicultural assemblages. As such, they seem to reflect what Marie-Laure Ryan, Kenneth Foote and Maoz Azaryahu in their work Narrating Space/Spatializing Narrative (2016) have called the two principal ways for conceptualising space: space as container and space as network. For writer and theorist Stephen Clingman, however, these abstractions fail to reflect the complexity of reality in which spaces, and by extension identities, are culturally entangled rather than determined by a single culture or a composite of cultures. Consequently, he seeks to transcend these categories by emphasising identity as a transcultural process of linguistic and physical navigation; an idea he maps out in his revolutionary work The Grammar of Identity (2009) aided by an analysis of several novels, including Jean Rhys’s Wide Sargasso Sea (1966).
Languages ontologies in higher education: the world-making practices of language teachers
Authors: Gurney Laura , Demuro Eugenia 
Published: February 2024

Abstract
In this paper, we engage the frame of language ontologies to explore what language is or might be, vis-à-vis empirical data from practicing language teachers and researchers. We conducted semi-structured interviews with fourteen participants to explore their accounts and self-reported practices of language(s)/languaging. We present five ontological accounts of language(s)/languaging as shared by the participants during the interviews: language as a tool for communication, language as thought, language as culture, language as system, and languaging as practice. We discuss the implications of these five ontological accounts for teaching, learning, and understanding language as a multiplicity.
Merging Structural and Reduced-Form Models for Forecasting
Authors: Martinez-Martin Jaime , Morris Richard , Onorante Luca , Piersanti Fabio Massimo 
Published: February 2024

Abstract
Recent economic crises have posed important challenges for forecasting. Models estimated pre-crisis may perform badly when normal economic relationships have been disrupted. Meanwhile, forecasting, especially in central banks, is increasingly based on a suite of models, following two main approaches: structural (DSGE) and reduced form. The challenge remains to identify which model – or combination of models – is likely to make better forecasts in a changing environment. We explore this issue by assessing the forecasting performance of combinations of a medium-scale DSGE model with standard reduced-form methods applied to the Spanish economy and a reference period that includes both the great recession and the sovereign debt crisis. Our findings suggest that: (i) the mean reverting properties of the DSGE model cause it to underestimate the growth of real variables following the inclusion of crisis episodes in the estimation period; (ii) despite this, reduced-form VARs benefit from the imposition of an economic prior from the structural model; but (iii) pooling information in the form of variables extracted from the structural model with (B)VAR methods does not improve forecast accuracy. By analysing the quantiles of the predictive distributions, we also provide evidence that merging models can help improve the forecast in a context including crisis episodes.