bluuebunny/crossref_metadata_2025_split huggingface dataset:
What happens after early intervention? Mapping early intervention in psychosis care pathways in the 12 months after discharge
Authors: Puntis Stephen , Pappa Sofia , Lennox Belinda 
Published: May 2023

AbstractAimEarly intervention services are the established and evidence‐based treatment option for individuals with first‐episode psychosis. They are time‐limited, and care pathways following discharge from these services have had little investigation. We aimed to map care pathways at the end of early intervention treatment to determine common trajectories of care.MethodsWe collected health record data for all individuals treated by early intervention teams in two NHS mental health trusts in England. We collected data on individuals' primary mental healthcare provider for 52 weeks after the end of their treatment and calculated common trajectories of care using sequence analysis.ResultsWe identified 2224 eligible individuals. For those discharged to primary care we identified four common trajectories: Stable primary care, relapse and return to CMHT, relapse and return to EIP, and discontinuity of care. We also identified four trajectories for those transferred to alternative secondary mental healthcare: Stable secondary care, relapsing secondary care, long‐term inpatient and discharged early. The long‐term inpatient trajectory (1% of sample) accounted for 29% of all inpatient days in the year follow‐up, with relapsing secondary care (2% of sample and 21% of inpatient days), and Relapse and return to CMHT (5% of sample, 15% of inpatient days) the second and third most frequent.ConclusionsIndividuals have common care pathways at the end of early intervention in psychosis treatment. Understanding common individual and service features that lead to poor care pathways could improve care and reduce hospital use.
Multi‐disease classification model using deep neural network and Strassen's rectilinear fine‐tune bouncing training algorithm
Authors: Sarveshwaran Velliangiri , Karthikeyan P. , Premalatha J. 
Published: May 2023

AbstractA deep neural network (DNN) is being used in the healthcare industry to improve care delivery at a lower cost and in less time. A DNN is well‐known for its diagnostic applications. However, it is also increasingly being utilized to guide healthcare management decisions. DNNs have been applied to real‐life disease classification problems. The performances of DNN are improved by reducing the training time, performing fast classification, and improving the parameters such as accuracy and error rate, and so forth. We have proposed a hybrid DNN named Strassen's rectilinear fine‐tune bouncing training (SRFBT) Algorithm by combining Strassen's theorem and bouncing training algorithm. The simulation result shows that the SRFBT algorithm outperforms both the DNN, support vector machine, radial basis function network and deep belief network algorithms in terms of network training, testing time and accuracy on various UCI machine learning healthcare datasets. The SRFBT has improved performance with a minimum average training time of 43.6249 and a maximum accuracy of 96.86.
Applying multisensor in‐car situations to detect violence
Authors: Duraes Dalila , Santos Flavio , Marcondes Francisco S. , Hammerschmidt Niklas , Novais Paulo 
Published: May 2023

AbstractViolence recognition is challenging because it can be presented in very different forms. For example, it can be present in an image by a person hitting another person or present in audio by a person being rude to another. Thus, audio and video are essential features to be analysed. In the audio approach, speech processing, music, and ambient sound are some of the main points of this problem since finding similarities and differences between these domains is necessary. Human activity can be classified into four different categories in the video approach, depending on the complexity and the number of body parts involved in the action. Examples of Human activity categories are considered: gestures, actions, interactions and activities. Recognizing human actions in the video becomes a challenge with this varied set of human activities. Furthermore, in the last years, the growth of deep learning techniques applied to this area has been enormous, and the reason is that their results surpass traditional signal processing on a large scale. This article is based on audio and video signals inside a vehicle to detect violence. Furthermore, the architecture used was ResNet model with Mel‐spectrogram methodology for audio signals. The proposed method for video signal representation was RGB, which applied four different models: C2D, I3D, X3D, and Flow‐Gated. Finally, multimodal fusion was applied at the end of the process.
The underestimated role of carrion in vertebrates' diet studies
Authors: Sebastián‐González Esther , Morant Jon , Moleón Marcos , Redondo‐Gómez Daniel , Morales‐Reyes Zebensui , Pascual‐Rico Roberto , Pérez‐García Juan Manuel , Arrondo Eneko 
Published: May 2023

AbstractAimDespite the increasing scientific evidence on the importance of carrion in the ecology and evolution of many vertebrates, scavenging is still barely considered in diet studies. Here, we draw attention to how scientific literature has underestimated the role of vertebrates as scavengers, identifying the ecological traits that characterize those species whose role as scavengers could have gone especially unnoticed.LocationGlobal.Time Period1938–2022.Major Taxa StudiedTerrestrial vertebrate scavengers.MethodsWe analysed and compared (a) the largest database available on scavenging patterns by carrion‐consuming vertebrates, (b) 908 diet studies about 156 scavenger species and (c) one of the most complete databases on bird and mammal diets (Elton Traits database). For each of these 156 species, we calculated their scavenging degree (i.e. proportion of carcases where the species is detected consuming carrion) as a proxy for carrion consumption, and related their ecological traits with the probability of being identified as scavengers in diet studies and in the Elton Traits database.ResultsMore than half of the species identified as scavengers at monitored carcasses were not assigned carrion as food source in their diet studies nor in the Elton Traits database. Using a subset of study sites, we found a direct relationship between a species' scavenging degree and its rate of carrion biomass removal. In addition, scavenger species, which were classified as non‐predators and mammals had a lower probability of being identified as scavengers in diet studies and in the Elton Traits database, respectively.Main ConclusionsOur results clearly indicate an underestimation of the role of scavenging in vertebrate food webs. Given that detritus recycling is fundamental to ecosystem functioning, we encourage further recognition and investigation of the role of carrion as a food resource for vertebrates, especially for non‐predator species and mammals with higher scavenging degree.
Hot topic: Examining discursive representations of menopause and work in the British media
Authors: Rowson Tatiana S. , Jaworska Sylvia , Gibas Iwona 
Published: May 2023

AbstractThis study builds on Goffman's idea of stigma to examine how mainstream print media in the UK have framed menopause over the past decade, especially concerning work. We used a computational corpus‐assisted discourse analysis (CADS) approach to analyze 2993 articles on menopause. The results indicate increased attention to menopause and, more recently, to menopause and work. However, the narrative consistently foregrounds negative aspects associated with dysfunction, decline, and unpredictable behavior, especially around litigation. These discursive representations reinforce the stigma around menopause by constructing women at this stage of life as the dangerous other, affected by physical and mental abnormalities. For women not to be disadvantaged at work, menopause representations must be more balanced by including more positive stories. Our study offers insights that can be of relevance to emerging workplace policies and assist the media in communicating the issues of menopause and work. We also make a methodological contribution by taking the CADS approach to explore empirically and systematically the dominant discourses around menopause in the UK mainstream media just over the last decade.
Effects of traditional starter and the Round‐Koji‐Maker starter on microbial communities and volatile flavours of Chi‐Flavour Baijiu
Authors: Fei Yongtao , Wang Yuliang , Zhang Zhichao , Liang Jinglong , Zhao Wenhong , Bai Weidong , He Songgui , Liu Youqiang 
Published: May 2023

SummaryThe mechanised starter‐making has been widely applied to the brewing of Baijiu. However, the effect of mechanical production on microbial flora and volatile flavour compounds of Chi‐Flavour Baijiu was still unknown. This study was to investigate the differences in microbial flora and volatile flavours between the traditional starter Baijiu (BQ) and Round‐Koji‐Maker Starter Baijiu (SQ) during brewing. The results showed that the contents of alcohol, total acidity and organic acid in BQ were significantly higher than those in SQ at the end of fermentation (P < 0.05). The dominant bacterial and fungal genera in SQ and BQ were Lactobacillus and Saccharomyces, respectively. The relative content of Pediococcus and Weissella in BQ was significantly higher than those in SQ in the prophase of fermentation. In respect of volatile flavours, there were 117 kinds of volatile flavours detected in SQ, higher than 90 kinds of those in BQ during the fermentation. The characteristic volatile flavours of Chi‐Flavour Baijiu were all detected with no significant difference between BQ and SQ, and the difference in flavours mainly came from 2‐methoxy‐4‐methylphenol, ethyl decanoate, (E)‐hept‐2‐enal. Lactobacillus was significantly positively correlated with ethyl decanoate and ethyl benzoate in BQ and phenethyl acetate in SQ. In addition, Candida had a strong positive correlation with β‐phenylethanol and ethyl myristicate in BQ and SQ. This study provides an in‐depth analysis of the difference between traditional and mechanical Xiaoqu starters in Baijiu fermentation and theoretical guidance for the standard production and quality improvement of Chi‐Flavour Baijiu.
Flood susceptibility mapping using support vector regression and hyper‐parameter optimization
Authors: Salvati Aryan , Nia Alireza Moghaddam , Salajegheh Ali , Ghaderi Kayvan , Asl Dawood Talebpour , Al‐Ansari Nadhir , Solaimani Feridon , Clague John J. 
Published: May 2023

AbstractFloods are both complex and destructive, and in most parts of the world cause injury, death, loss of agricultural land, and social disruption. Flood susceptibility (FS) maps are used by land‐use managers and land owners to identify areas that are at risk from flooding and to plan accordingly. This study uses machine learning ensembles to produce objective and reliable FS maps for the Haraz watershed in northern Iran. Specifically, we test the ability of the support vector regression (SVR), together with linear kernel (LK), base classifier (BC), and hyper‐parameter optimization (HPO), to identify flood‐prone areas in this watershed. We prepared a map of 201 past floods to predict future floods. Of the 201 flood events, 151 (75%) were used for modeling and 50 (25%) were used for validation. Based on the relevant literature and our field survey of the study area, 10 effective factors were selected and prepared for flood zoning. The results show that three of the 10 factors are most important for predicting flood‐sensitive areas, specifically and in order of importance, slope, distance to the river and river. Additionally, the SVR‐HPO model, with area under the curve values of 0.986 and 0.951 for the training and testing phases, outperformed the other two tested models.
Experiences of improvement of everyday life following a rehabilitation programme for people with long‐term cognitive effects of COVID‐19: Qualitative study
Authors: Raunkiaer Mette , Joergensen Dorthe Soested , Rasmussen Annette , Johannesen Gitte , Thuesen Jette , Elnegaard Caroline Matilde , Dupont Sandra Bakkegaard 
Published: May 2023

AbstractAim and ObjectivesTo explore challenges in everyday life for people with long‐term cognitive effects of COVID‐19 and whether a rehabilitation programme contributed to the remedy thereof.BackgroundHealthcare systems around the world need knowledge about acute COVID‐19 treatment, long‐term effects exerting an impact on peoples' everyday lives, and how to remedy these.DesignThis is a qualitative study with a phenomenological approach.MethodsTwelve people with long‐term cognitive effects of COVID‐19 participated in a multidisciplinary rehabilitation programme. Individual semi‐structured interviews were made. Data were analysed thematically.ResultsThree themes and eight sub‐themes emerged with respect to everyday life challenges and experiences of the rehabilitation programme. The themes were (1) Personal insight and knowledge, (2) Changed daily routines at home and (3) Coping with working life.ConclusionParticipants experienced long‐term effects of COVID‐19 as cognitive challenges, fatigue and headaches, which affected their everyday lives, that is inability to overcome daily tasks at home and at work, maintaining family roles and relations with relatives. The rehabilitation programme contributed to a vocabulary and insights related to the long‐term effects of COVID‐19 and the experience of being a different person. The programme contributed to changes in daily routines, organising breaks in everyday life and explaining challenges to family/relatives and the way in which they affected daily routines and their role in the family. In addition, the programme supported several of the participants in finding the right workload and working hours.Relevance to Clinical PracticeWe recommend multidisciplinary rehabilitation programmes inspired by cognitive remediation of long‐term COVID‐19 cognitive effects. Municipalities and organisations could collaborate in the development and completion of such programmes, possibly comprising both virtual and physical elements. This could facilitate access and reduce costs.Patient or Public ContributionPatients contributed to the conduct of the study by participating in the data collection via interviews.Clinical Trial Registration NumberData collection and processing of data are approved by the Region of Southern Denmark (journal number: 20/46585).
When is a concept a priori?
Authors: Ordóñez Angulo Emmanuel 
Published: May 2023

AbstractAccording to Michael Thompson's defence of neo‐Aristotelian naturalism in meta‐ethics, (i) ‘[t]he conceptlife‐formis a pure or a priori, perhaps a logical, concept’, and (ii) ‘[t]he concepthuman, as we human beings have it, is an a priori concept’ (p. 57). Here I show Thompson's argument for (ii) to be unsound, hoping thereby to shed light on the neglected subject of the a prioricity of concepts more generally.
Assessment of Instant Loss of Elbow Flexion in Children with Untreated Gartland IIA Humeral Supracondylar Fractures—A Simulation Study with Lateral Elbow Radiographs
Authors: Liu Tianjing , Liu Xiangfei , Zhang Zhongli , Fu Zhe , Han Zhitao , Jia Guoqiang , Chen Jiayuan , Wang Enbo 
Published: May 2023

ObjectiveThe suitability of in situ cast fixation for treating Gartland IIA humeral supracondylar fractures has remained controversial due to concerns regarding loss of elbow flexion. This study aimed to assess the instant loss of elbow flexion after Gartland IIA humeral supracondylar fractures based on the relationship between the anterior marginal line of the humerus and capitellum in the lateral view.MethodsThis simulation study was conducted with normal radiographs using Adobe Photoshop 14.0, followed by verification using clinical cases. Standard lateral views of normal elbows of children were collected from January 2008 to February 2020. Adobe Photoshop was used to simulate Gartland IIA supracondylar fractures with different degrees of angulation in the sagittal plane. A formula was deduced to assess flexion loss, and this method was verified in three cases. The data were grouped by age, and the relationship between elbow flexion loss and age, as well as the angulation of the fracture, was analyzed using a one‐way or multivariate ANOVA.ResultsThere was a flexion loss of 19° (11–30°) when the anterior margin line of the humerus was tangential to the capitellum. This loss increased with age at injury (r = 0.731, P = 0.000). Moreover, the difference in angulation in the sagittal plane also influenced the extent of elbow flexion loss (r = −0.739, P = 0.000). The more horizontal the fracture line in the lateral view, the greater the loss of elbow flexion.ConclusionInstant elbow flexion loss after Gartland IIA humeral supracondylar fractures increases with age at the time of injury and decreases with angulation in the sagittal plane. When the anterior margin of the humerus is tangential to the capitellum, there will be an average loss of 19° in elbow flexion. These findings provide a quantitative reference for clinical decision‐making in the treatment of Gartland IIA supracondylar fractures.
Left atrial roof region ablation using a visually guided laser balloon
Authors: Yamasaki Takashi , Hattori Tetsuhisa , Pak Misen , Kakita Ken 
Published: May 2023

AbstractBalloon‐based catheter ablation including visually guided laser balloon (VGLB) has been adopted a first line therapeutic strategy for the patients with atrial fibrillation (AF). Recently, the roof area ablation beyond pulmonary vein (PV) isolation (PVI) using cryoballoon has been described as an effective therapy for the patients with persistent AF. However, the roof area ablation performed with a VGLB remains unknown. In this case, we report the case of roof area ablation for the patient with persistent AF using a VGLB.
Parenting stress, general distress, and coparenting quality: An Actor–Partner Interdependence Moderation Model
Authors: Turgeon Jessica , Lonergan Michelle , Bureau Jean‐François , Schoppe‐Sullivan Sarah J. , Lafontaine Marie‐France 
Published: May 2023

AbstractMothers and fathers who experience parenting stress are more likely to show symptoms of distress, such as elevated levels of anxiety and/or depression. Identifying the buffering or exacerbating factors that might moderate the association between parenting stress and general distress can help inform theoretical models aimed at better understanding the reality faced by parents during challenging times, as well as improve intervention strategies. The objective of this study was to examine whether coparenting quality plays a moderating role in the association between parenting stress and general distress in parents of children in middle childhood. Eighty‐one couples were asked to complete questionnaires pertaining to their levels of parenting stress, the quality of their coparenting relationship, and their symptoms of distress. Using an Actor–Partner Interdependence Moderation Model, our results revealed that elevated levels of parenting stress were associated with elevated levels of general distress, whereas higher scores of coparenting quality were associated with fewer symptoms of distress. Our results also showed a moderating role for coparenting quality in the association between actor parenting stress and actor/partner distress. These findings highlight the importance of pursuing the investigation of dyadic effects within personal relationships.
The ‘deer‐men’ and the ‘bowhead‐men’: The colonial co‐optation of Arctic Indigenous knowledge within the ‘origins of the Inuit’ debates
Authors: Martin Peter R. 
Published: May 2023

AbstractDrawing on recent literatures that explore the complicated role of ‘Indigenous intermediaries’ within histories of geographical exploration, and bringing these into dialogue with research exposing the colonial nature of geographical knowledge, this article studies the ways in which information extracted from an Indigenous Arctic informant named Nocum was crucial in the formation of troubling geographical understandings regarding Inuit ‘origins’ and migration. The article analyses the extractive nature of the intellectual contributions offered by the American traveller and scholar William Healey Dall, and situates them amidst their troubling imperial and racialised context. The article concludes by arguing that geographers must continue to identify and reflect critically on the role of indigenous peoples within the historical (co)production of geographical knowledge, but that they must be equally attentive to the ways this knowledge was regularly used to inform and justify various forms of imperial intervention and colonial violence.
Composition operators on weighted Hilbert spaces of Dirichlet series
Authors: Kouroupis Athanasios , Perfekt Karl‐Mikael 
Published: May 2023

AbstractWe study composition operators of characteristic zero on weighted Hilbert spaces of Dirichlet series. For this purpose, we demonstrate the existence of weighted mean counting functions associated with the Dirichlet series symbol, and provide a corresponding change of variables formula for the composition operator. This leads to natural necessary conditions for the boundedness and compactness. For Bergman‐type spaces, we are able to show that the compactness condition is also sufficient, by employing a Schwarz‐type lemma for Dirichlet series.
Information Embedding for Secure Manufacturing: Challenges and Research Opportunities
Authors: ElSayed Karim A. , Dachowicz Adam , Atallah Mikhail J. , Panchal Jitesh H. 
Published: May 2023

Abstract
The digitization of manufacturing has transformed the product realization process across many industries, from aerospace and automotive to medicine and healthcare. While this progress has accelerated product development cycles and enabled designers to create products with previously unachievable complexity and precision, it has also opened the door to a broad array of unique security concerns, from theft of intellectual property to supply chain attacks and counterfeiting. To address these concerns, information embedding (e.g., watermarks and fingerprints) has emerged as a promising solution that enhances product security and traceability. Information embedding techniques involve storing unique and secure information within parts, making these parts easier to track and to verify for authenticity. However, a successful information embedding scheme requires information to be transmitted in physical parts both securely and in a way that is accessible to end sers. Ensuring these qualities introduces unique computational and engineering challenges. For instance, these qualities require the designer of the embedding scheme to have an accurate model of the cyber-physical processes needed to embed information during manufacturing and read it later in the product life cycle, as well as models of the phenomena that may degrade that information through natural wear-and-tear, or through adversarial attacks. This article discusses challenges and research opportunities for the engineering design and manufacturing community in developing methods for efficient information embedding in manufactured products.