bluuebunny/crossref_metadata_2025_split huggingface dataset:
The effect of singing on pain and psychological well‐being in a patient population with pain‐related temporomandibular disorders
Authors: van Selms Maurits K. A. , Reda Bachar , Visscher Corine M. , Manfredini Daniele , Lobbezoo Frank 
Published: May 2022

AbstractBackgroundEven though singing is regarded as potential jaw‐overuse behaviour, the actual evidence that underlines the idea of singing as a predisposing factor for pain‐related temporomandibular disorders (TMD) is very limited.ObjectivesThe objectives were to examine if a dose–response relationship exists between the frequency of singing and TMD pain intensity, and if singing is associated with psychological well‐being.MethodsThe records of 1467 adult patients with functionally aggravated TMD pain were examined. Partial Spearman correlations were used to explore for associations between singing frequency and Characteristic Pain Intensity (CPI), somatic symptoms, depression and anxiety.ResultsThe mean age of all participants was 42.8 years (±15.3), of which 79.2% were female. Contrary to the male–female ratio, no difference was found in the mean age between the response options with regard to the frequency of singing. Controlled for the influence of gender, the Spearman correlation between the frequency of singing and CPI appeared to be significant and indicated a negative association. In addition, somatic symptoms appeared to be positively associated with the frequency of singing. However, the observed correlation coefficients (ρ = −.073 and ρ = .067, respectively) imply that these are only very weak or negligible correlations. No significant associations with the frequency of singing were found for depression and anxiety.ConclusionsThe alleged negative influence of singing on TMD pain intensity was found to be virtually absent. Patients with TMD pain who sing frequently have almost equal scores on psychological well‐being compared to those who sing less.
Breakdowns and assemblages: Including machine‐actants in sociolinguistic ethnographies of blue‐collar work environments
Authors: Hovens Daan 
Published: May 2022

AbstractA central concern in sociolinguistic ethnographies has been how people use language to make social distinctions. This article discusses the relevance of paying closer attention to the role of machines as actants in communication and social distinction‐making processes. It analyses audio and video‐recorded workplace interactions between humans and machines in a metal foundry in the Dutch‐German borderland. Specifically, it focuses on several cases of a breakdown of a production process, a frequently observed phenomenon in the foundry. The cases show that: (1) the production work entails many improvised human–human and human–machine interactions as opposed to Taylorised working practices; (2) the machine‐actants initiate and afford (re)negotiations of situated, hierarchical workplace relations through these interactions; and (3) the question whether these interactions should be considered ‘language‐centred’ or ‘language‐marginal’ partly depends on an ideological, conceptual distinction between what counts as ‘language’ and what not.
Sex is a major effect modifier between body composition and mortality in patients with cirrhosis assessed for liver transplantation
Authors: Benmassaoud Amine , Roccarina Davide , Arico Francesco Marcello , Cilla Marta , Donghia Rossella , Leandro Gioacchino , Iogna Prat Laura , Zuhair Mohamed , North Matthew , Kearney Orla , Ryan John , Tsochatzis Emmanuel A. 
Published: May 2022

AbstractBackground and AimsBody composition predicts mortality in patients with cirrhosis. The impact of sex on this association is unknown. We investigated the impact of sex on this association in patients with cirrhosis assessed for liver transplantation.MethodsThis single‐centre retrospective cohort study included adults assessed for liver transplantation. Nutritional status was assessed using the Royal Free Hospital‐Global Assessment (RFH‐GA). Body composition at the third lumbar vertebrae was determined. SarcopeniaSMI was defined as Skeletal Muscle Index <50 cm2/m2 in males and <39 cm2/m2 in females. SarcopeniaPMI was defined as the sex‐specific 25th percentile of the Psoas Muscle Index. Patients were assessed for the occurrence of liver transplantation and death. Analyses were stratified by sex.ResultsThe cohort comprised 628 patients, including 199 females and 429 males. Both groups were similar in terms of baseline liver disease severity by Model for End‐stage Liver Disease (MELD) (p = .98) and nutritional status (p = .24). SarcopeniaSMI was present in 41% of males compared to 27% of females (p < .001). In the male cohort, when adjusted for age and MELD, sarcopeniaPMI (aHR 1.74, 95% CI 1.08–2.80) and RFH‐GA (aHR 1.40, 95% CI 1.03–1.90) remained independent predictors of mortality. Adipose tissue had no impact on outcomes in males. In female patients, adipose tissue (TATI or VATI depending on the multivariable model) was independently associated with mortality, whereas sarcopenia and malnutrition were not.ConclusionsThis study demonstrates that male patients were susceptible to low muscle mass, whereas female patients were not. Future research in this patient population should minimize sex‐related bias and present data for both groups separately.
Using routine outcome measures as clinical process tools: Maximising the therapeutic yield in the IAPT programme when working remotely
Authors: Faija Cintia L. , Bee Penny , Lovell Karina , Lidbetter Nicky , Gellatly Judith , Ardern Kerry , Rushton Kelly , Brooks Helen , McMillan Dean , Armitage Christopher J. , Woodhouse Rebecca , Barkham Michael 
Published: May 2022

AbstractObjectivesThe objective of the study was to investigate the administration and use of routine outcome monitoring session by session in the context of improving guided‐self‐help interventions when delivered remotely at Step 2 care in the English Improving Access to Psychological Therapies (IAPT) services.DesignQualitative research using recordings of telephone‐treatment sessions.MethodParticipants (11 patients and 11 practitioners) were recruited from four nationally funded IAPT services and one‐third sector organisation commissioned to deliver Step 2 IAPT services, in England. Data collection took place prior to the COVID‐19 pandemic. Transcripts of telephone–treatment sessions were analysed using thematic analysis.ResultsFour themes were identified: (1) lack of consistency in the administration of outcome measures (e.g. inconsistent wording); (2) outcome measures administered as a stand‐alone inflexible task (e.g. mechanical administration); (3) outcome measures as impersonal numbers (e.g. summarising, categorising and comparing total scores); and (4) missed opportunities to use outcome measures therapeutically (e.g. lack of therapeutic use of item and total scores).ConclusionsThe administration of outcome measures needs to ensure validity and reliability. Therapeutic yield from session‐by‐session outcome measures could be enhanced by focusing on three main areas: (1) adopting a collaborative conversational approach, (2) maximising the use of total and items scores and (3) integrating outcome measures with in‐session treatment decisions. Shifting the perception of outcome measures as impersonal numbers to being process clinical tools ensures a personalised delivery of psychological interventions and has the potential to enhance engagement from practitioners and patients what may reduce drop‐out rates and improve clinical outcomes.
Atopic dermatitis leading to failure to thrive: A case report
Authors: Sarver Melissa M. , Quow Krystina , Prose Neil S. 
Published: May 2022

AbstractWe present an infant with severe atopic dermatitis, protein loss, and subsequent failure to thrive. With proper management, the patient's laboratory findings normalized, and he gained weight appropriately. In this report, we highlight the impact that severe atopic dermatitis may have growth and development and review the genetic conditions that can result in a similar clinical presentation.
Vascular endothelial growth factor (VEGF) expression in histological endometritis in the bitch: An immunohistochemical study
Authors: Praderio Romina Gisel , García Mitacek María Carla , Gilead Tomás , de la Sota Rodolfo Luzbel , Stornelli María Alejandra 
Published: May 2022

AbstractThis work aimed to study the immunolocalization of vascular endothelial growth factor (VEGF) and its FLT‐1 receptor (VEGFR1) in systemically healthy bitches with and without endometritis (END). Thirty‐one uterine samples from mixed‐breed, systemically healthy diestrous bitches, were included in the study. The bitches were divided into three groups after histological evaluation (normal endometrium [n = 8]; acute‐END [n = 8]; subacute‐END [n = 5]; chronic‐END [n = 10]). The immunohistochemical localization of VEGF and VEGFR1 were detected following standard procedures. Data were analysed using SPSS 26.0. Immunoreactions were detected in cells from the luminal epithelium (LE), epithelium of the superficial glands (ESG) and epithelium of the deep glands (EDG), and some cells localized in the stroma. Immunostaining of VEGF in acute‐END was higher than chronic‐END (p < .05) and was higher in LE than EDG (p .017). Marked‐area was higher in END than normal endometrium in VEGFR‐1 (p < .004). The current results provide new information on the END in systemically healthy females. Data reported here indicate that VEGF could be involucrated in the pathogenesis of END. Future studies could provide more information, support our results and elucidate the role of VEGF in the pathogenesis of END.
Grief, Continuing Bonds, and Unreciprocated Love
Authors: Millar Becky , Lopez‐Cantero Pilar 
Published: May 2022

AbstractThe widely accepted “continuing bonds” model of grief tells us that rather than bereavement necessitating the cessation of one's relationship with the deceased, very often the relationship continues instead in an adapted form. However, this framework appears to conflict with philosophical approaches that treat reciprocity or mutuality of some form as central to loving relationships. Seemingly the dead cannot be active participants, rendering it puzzling how we should understand claims about continued relationships with them. In this article, we resolve this tension by highlighting two fundamental aspects of paradigmatic loving relationships that can, and often do, continue in an adapted form following bereavement: love and mutual shaping of interests, choices, and self‐concepts. Attention to these continuing features of relationships helps to capture and clarify the phenomenological and behavioral features of continuing bonds. However, love and mutual shaping must also change in important ways following bereavement. Love becomes unreciprocated, and although the dead continue to shape our interests, choices, and self‐concepts, we predominantly shape their legacies and memories in return. These changes place important constraints upon the nature of our interpersonal connections with the dead.
Differences in team performance: Gender versus ability
Authors: Städter Silvio , Roider Andreas , Dowling Michael , Helm Roland 
Published: May 2022

AbstractWe empirically study the relationship between the gender composition and the performance of teams. In our setting, teams of students are incentivized to develop business plans as part of a compulsory course in a business administration program. At first sight, and in line with earlier empirical literature, the gender composition seems to matter. Our article differs in that we have access to a measure of task‐specific individual ability. When controlling for ability, the relation between gender and team performance vanishes, highlighting the importance of controlling for other characteristics in empirical and experimental studies of gender effects.ObjectiveWhile various studies document a relationship between the gender composition and the performance of teams, we ask whether such findings may depend on a lack of controlling for other dimensions of heterogeneity among team members.MethodsIn our setting, teams of students are incentivized to develop business plans as part of a compulsory course in a business administration program. Our article differs from the literature in that we have access to a measure of task‐specific individual ability. Using ordinary least squares regressions, controlling for year and team size fixed effects, and conducting various robustness checks, we study the association between team performance and team characteristics.ResultsAt first sight, and in line with earlier empirical literature, the gender composition seems to matter for team performance. However, when controlling for the individual abilities of team members, the relation between the gender composition and team performance vanishes.ConclusionOur study highlights the importance of controlling for other characteristics in empirical and experimental studies of gender effects, which in our context leads them to disappear.
An Improved Deep Neural Network Algorithm for the Prediction of Limited Proteolysis in Native Protein
Authors: Azmi Nur Sabrina , Hashim Haslina , Lip Hong Lim , A Samah Azurah , Abdul Majid Hairudin , Ali Shah Zuraini , Azman Nuraina Syaza 
Published: May 2022

Protease is a proteolytic enzyme that hydrolyzes the amino acid where the cleavage only occurs at specific sites of the amino acid substrate. By discovering the nick site, the prediction on the function of proteases can be identified and enable humans to control the protein's hydrolysis by their corresponding protease. It is very contributed to controlling protein production especially viral protein. The experts may alter the production of viral protein by reducing the viral proteases to undergo proteolysis. With the rise of computational methods in this era, deep learning is becoming more famous and applied in every field of study, including the biological area. Conventional techniques such as mass spectrometry and two-dimensional gel electrophoresis are being replaced by computational methods due to time-consuming. Thus, this study improves the deep learning algorithm by proposing the Hybrid model of Random Forest + Deep Neural Network (Hybrid RF+DNN) to classify nick sites. The classification in this study is compared with the other machine learning algorithms such as Random Forest (RF), Support Vector Machine (SVM), and Deep Neural Network (DNN). The proposed method is believed to enhance the classification results in identifying the positive and negative nick sites. The RF is a feature-selector that gathers the most important feature before entering the DNN classifier. This approach reduces the data dimensionality and speeds up the execution time of the training process. The performance of the models was measured by confusion matrix, specificity, sensitivity, etc. However, the proposed method is not the best performer among the mentioned classifiers from the result. The proposed method may become the best performer as the parameter tuning is done more precisely, even after the feature selection by the RF algorithm. Thus, the proposed method with the enhancement appears to be an alternative to the researcher discovering nick site.
Forecasting Model of Air Pollution Index using Generalized Autoregressive Conditional Heteroskedasticity Family (GARCH)
Authors: Zamrus Nurul Asyikin , Mohd Rodzhan Mohd Hirzie , Mohamad Nurul Najihah 
Published: May 2022

The Air Pollution Index (API) of Malaysia has increased consistently in recent decades, becoming a serious environment issue concern. In this paper, we analyzed daily integer value time series data for API in Sarawak from January to June in 2019 using generalized autoregressive conditional heteroskedasticity (GARCH) family for discrete case namely poisson integer value GARCH (INGARCH), negative binomial integer value GARCH (NBINGARCH) and integer value autoregressive conditional heteroskedasticity (INARCH) models. The parameters of the models will be estimated using quasi likelihood estimator (QLE) and we compare their Akaike information criterion (AIC) to determine the best model fitted the data. The results showed that INGARCH (1,1) and INARCH (1,0) performed inconsistent results since the conventional methods of NBINGARCH (1,1) outperformed the performance of INGARCH (1,1) and INARCH (1,0). However, consistet results were achieved as the NBINGARCH (1,1) gave the smallest forecasting error compared to INGARCH (1,1) and INARCH (1,0). The findings are very important for controlling the API results in future and taking protection measure for conservation of the air.
Mechanics-Driven Anode Material Failure in Battery Safety and Capacity Deterioration Issues: A Review
Authors: Gao Xiang , Jia Yikai , Zhang Wen , Yuan Chunhao , Xu Jun 
Published: May 2022

Abstract
High-capacity anodes, such as Si, have attracted tremendous research interest over the last two decades because of the requirement for the high energy density of next-generation lithium-ion batteries (LIBs). The mechanical integrity and stability of such materials during cycling are critical because their volume considerably changes. The volume changes/deformation result in mechanical stresses, which lead to mechanical failures, including cracks, fragmentation, and debonding. These phenomena accelerate capacity fading during electrochemical cycling and thus limit the application of high-capacity anodes. Experimental studies have been performed to characterize the deformation and failure behavior of these high-capacity materials directly, providing fundamental insights into the degradation processes. Modeling works have focused on elucidating the underlying mechanisms and providing design tools for next-generation battery design. This review presents an overview of the fundamental understanding and theoretical analysis of the electrochemical degradation and safety issues of LIBs where mechanics dominates. We first introduce the stress generation and failure behavior of high-capacity anodes from the experimental and computational aspects, respectively. Then, we summarize and discuss the strategies of stress mitigation and failure suppression. Finally, we conclude the significant points and outlook critical bottlenecks in further developing and spreading high-capacity materials of LIBs.
Measuring user engagement with low credibility media sources in a controversial online debate
Authors: Vilella Salvatore , Semeraro Alfonso , Paolotti Daniela , Ruffo Giancarlo 
Published: May 2022

AbstractWe quantify social media user engagement with low-credibility online news media sources using a simple and intuitive methodology, that we showcase with an empirical case study of the Twitter debate on immigration in Italy. By assigning the Twitter users an Untrustworthiness (U) score based on how frequently they engage with unreliable media outlets and cross-checking it with a qualitative political annotation of the communities, we show that such information consumption is not equally distributed across the Twitter users. Indeed, we identify clusters characterised by a very high presence of accounts that frequently share content from less reliable news sources. The users with high U are more keen to interact with bot-like accounts that tend to inject more unreliable content into the network and to retweet that content. Thus, our methodology applied to this real-world network provides evidence, in an easy and straightforward way, that there is strong interplay between accounts that display higher bot-like activity and users more focused on news from unreliable sources and that this influences the diffusion of this information across the network.
Liver Colonization by Colorectal Cancer Metastases Requires YAP-Controlled Plasticity at the Micrometastatic Stage
Authors: Heinz Maria C. , Peters Niek A. , Oost Koen C. , Lindeboom Rik G.H. , van Voorthuijsen Lisa , Fumagalli Arianna , van der Net Mirjam C. , de Medeiros Gustavo , Hageman Joris H. , Verlaan-Klink Ingrid , Borel Rinkes Inne H.M. , Liberali Prisca , Gloerich Martijn , van Rheenen Jacco , Vermeulen Michiel , Kranenburg Onno , Snippert Hugo J.G. 
Published: May 2022

Abstract

Micrometastases of colorectal cancer can remain dormant for years prior to the formation of actively growing, clinically detectable lesions (i.e., colonization). A better understanding of this step in the metastatic cascade could help improve metastasis prevention and treatment. Here we analyzed liver specimens of patients with colorectal cancer and monitored real-time metastasis formation in mouse livers using intravital microscopy to reveal that micrometastatic lesions are devoid of cancer stem cells (CSC). However, lesions that grow into overt metastases demonstrated appearance of de novo CSCs through cellular plasticity at a multicellular stage. Clonal outgrowth of patient-derived colorectal cancer organoids phenocopied the cellular and transcriptomic changes observed during in vivo metastasis formation. First, formation of mature CSCs occurred at a multicellular stage and promoted growth. Conversely, failure of immature CSCs to generate more differentiated cells arrested growth, implying that cellular heterogeneity is required for continuous growth. Second, early-stage YAP activity was required for the survival of organoid-forming cells. However, subsequent attenuation of early-stage YAP activity was essential to allow for the formation of cell type heterogeneity, while persistent YAP signaling locked micro-organoids in a cellularly homogenous and growth-stalled state. Analysis of metastasis formation in mouse livers using single-cell RNA sequencing confirmed the transient presence of early-stage YAP activity, followed by emergence of CSC and non-CSC phenotypes, irrespective of the initial phenotype of the metastatic cell of origin. Thus, establishment of cellular heterogeneity after an initial YAP-controlled outgrowth phase marks the transition to continuously growing macrometastases.

Significance:
Characterization of the cell type dynamics, composition, and transcriptome of early colorectal cancer liver metastases reveals that failure to establish cellular heterogeneity through YAP-controlled epithelial self-organization prohibits the outgrowth of micrometastases.
See related commentary by LeBleu, p. 1870
Abstract A001: Modeling cancer’s ecological and evolutionary dynamics
Authors: Bukkuri Anuraag , Pienta Kenneth J. , Hockett Ian , Austin Robert H. , Hammarlund Emma U. , Amend Sarah R. , Brown Joel S. 
Published: May 2022

Abstract
We present a theoretical modeling framework, called the G function, to understand cancer speciation, diversification, and environmental adaptation. The G function integrates both the ecology and evolution of cancer and has been used in evolutionary ecology. However, the G function has not yet been widely applied to problems in cancer. Here, we build the G-function framework from fundamental Darwinian principles and discuss how cancer is inherently an evolutionary game. We begin with a simple model of cancer growth and add on components of cancer cell competition and drug resistance. To aid in exploration of eco-evolutionary modeling with this approach, we also present a user-friendly online tool. We argue that G-functions are useful to understand the games cancer plays in a biologically mechanistic fashion.
Citation Format: Anuraag Bukkuri, Kenneth J. Pienta, Ian Hockett, Robert H. Austin, Emma U. Hammarlund, Sarah R. Amend, Joel S. Brown. Modeling cancer’s ecological and evolutionary dynamics [abstract]. In: Proceedings of the AACR Special Conference on the Evolutionary Dynamics in Carcinogenesis and Response to Therapy; 2022 Mar 14-17. Philadelphia (PA): AACR; Cancer Res 2022;82(10 Suppl):Abstract nr A001.