bluuebunny/crossref_metadata_2025_split huggingface dataset:
Biophysical models applied to dementia patients reveal links between geographical origin, gender, disease duration, and loss of neural inhibition
Authors: Moguilner Sebastian , Herzog Rubén , Perl Yonatan Sanz , Medel Vicente , Cruzat Josefina , Coronel Carlos , Kringelbach Morten , Deco Gustavo , Ibáñez Agustín , Tagliazucchi Enzo 
Published: April 2024

Abstract
Background
The hypothesis of decreased neural inhibition in dementia has been sparsely studied in functional magnetic resonance imaging (fMRI) data across patients with different dementia subtypes, and the role of social and demographic heterogeneities on this hypothesis remains to be addressed.

Methods
We inferred regional inhibition by fitting a biophysical whole-brain model (dynamic mean field model with realistic inter-areal connectivity) to fMRI data from 414 participants, including patients with Alzheimer’s disease, behavioral variant frontotemporal dementia, and controls. We then investigated the effect of disease condition, and demographic and clinical variables on the local inhibitory feedback, a variable related to the maintenance of balanced neural excitation/inhibition.

Results
Decreased local inhibitory feedback was inferred from the biophysical modeling results in dementia patients, specific to brain areas presenting neurodegeneration. This loss of local inhibition correlated positively with years with disease, and showed differences regarding the gender and geographical origin of the patients. The model correctly reproduced known disease-related changes in functional connectivity.

Conclusions
Results suggest a critical link between abnormal neural and circuit-level excitability levels, the loss of grey matter observed in dementia, and the reorganization of functional connectivity, while highlighting the sensitivity of the underlying biophysical mechanism to demographic and clinical heterogeneities in the patient population.
Dilated cardiomyopathy due to hypocalcaemia: a case report
Authors: Rupasinghe Nilushka , Ranasinghe Priyanga , Wanninayake Leonard 
Published: April 2024

Abstract
Background
Hypocalcaemia is a rare, but reversible, cause of dilated cardiomyopathy causing heart failure. Several case reports have been reported on reversible cardiomyopathy secondary to hypocalcaemia.

Case presentation
We report a case of 54-year-old female Sri Lankan patient who presented with shortness of breath and was diagnosed with heart failure with reduced ejection fraction due to dilated cardiomyopathy. The etiology for dilated cardiomyopathy was identified as hypocalcemic cardiomyopathy, secondary to primary hypoparathyroidism, which was successfully treated with calcium and vitamin D replacement therapy.

Conclusion
This adds to literature of this rare cause of reversible cardiomyopathy secondary to hypocalcemia reported from the South Asian region of the world. This case highlights the impact of proper treatment improving the heart failure in patients with hypocalcemic cardiomyopathy.
Supervised Attention Multi-Scale Temporal Convolutional Network for monaural speech enhancement
Authors: Zhang Zehua , Zhang Lu , Zhuang Xuyi , Qian Yukun , Wang Mingjiang 
Published: April 2024

AbstractSpeech signals are often distorted by reverberation and noise, with a widely distributed signal-to-noise ratio (SNR). To address this, our study develops robust, deep neural network (DNN)-based speech enhancement methods. We reproduce several DNN-based monaural speech enhancement methods and outline a strategy for constructing datasets. This strategy, validated through experimental reproductions, has effectively enhanced the denoising efficiency and robustness of the models. Then, we propose a causal speech enhancement system named Supervised Attention Multi-Scale Temporal Convolutional Network (SA-MSTCN). SA-MSTCN extracts the complex compressed spectrum (CCS) for input encoding and employs complex ratio masking (CRM) for output decoding. The supervised attention module, a lightweight addition to SA-MSTCN, guides feature extraction. Experiment results show that the supervised attention module effectively improves noise reduction performance with a minor increase in computational cost. The multi-scale temporal convolutional network refines the perceptual field and better reconstructs the speech signal. Overall, SA-MSTCN not only achieves state-of-the-art speech quality and intelligibility compared to other methods but also maintains stable denoising performance across various environments.
Palliative care needs of people and/or their families with serious and/or chronic health conditions in low- or middle-income country (LMIC) humanitarian settings—a systematic scoping review protocol
Authors: McGannan Michelle , Grant Liz , Fearon David , Dozier Marshall , Barber-Fleming Victoria 
Published: April 2024

Abstract
Background
Palliative care in low- or middle-income country (LMIC) humanitarian settings is a new area, experiencing a degree of increased momentum over recent years. The review contributes to this growing body of knowledge, in addition to identifying gaps for future research. The overall aim is to systematically explore the evidence on palliative care needs of patients and/or their families in LMIC humanitarian settings.

Methods
Arksey and O’Malley’s (Int J Soc Res Methodol. 8:19-32, 2005) scoping review framework forms the basis of the study design, following further guidance from Levac et al. (Implement Sci 5:1-9, 2010), the Joanna Briggs Institute (JBI) Peters et al. (JBI Reviewer’s Manual JBI: 406-452, 2020), and the Preferred Reporting Items for Systematic reviews and Meta-Analyses extension for Scoping Reviews (PRISMA-ScR) from Tricco et al. (Ann Intern Med 169:467-73, 2018). This incorporates a five-step approach and the population, concept, and context (PCC) framework. Using already identified key words/terms, searches for both published research and gray literature from January 2012 to October 2022 will be undertaken using databases (likely to include Cumulative Index of Nursing and Allied Health (CINAHL), MEDLINE, Embase, Global Health, Scopus, Applied Social Science Index and Abstracts (ASSIA), Web of Science, Policy Commons, JSTOR, Library Network International Monetary Fund and World Bank, Google Advanced Search, and Google Scholar) in addition to selected pre-print sites and websites. Data selection will be undertaken based on the inclusion and exclusion criteria and will be reviewed at each stage by two reviewers, with a third to resolve any differences. Extracted data will be charted in a table. Ethical approval is not required for this review.

Discussion
Findings will be presented in tables and diagrams/charts, followed by a narrative description. The review will run from late October 2022 to early 2023. This is the first systematic scoping review specifically exploring the palliative care needs of patients and/or their family, in LMIC humanitarian settings. The paper from the review findings will be submitted for publication in 2023.
Exemplar Hospital initiation trial to Enhance Treatment Engagement (EXHIT ENTRE): protocol for CTN-0098B a randomized implementation study to support hospitals in caring for patients with opioid use disorder
Authors: Bart Gavin , Korthuis P. Todd , Donohue Julie M. , Hagedorn Hildi J. , Gustafson Dave H. , Bazzi Angela R. , Enns Eva , McNeely Jennifer , Ghitza Udi E. , Magane Kara M. , Baukol Paulette , Vena Ashley , Harris Jacklyn , Voronca Delia , Saitz Richard 
Published: April 2024

Abstract
Background
Hospitalizations involving opioid use disorder (OUD) are increasing. Medications for opioid use disorder (MOUD) reduce mortality and acute care utilization. Hospitalization is a reachable moment for initiating MOUD and arranging for ongoing MOUD engagement following hospital discharge. Despite existing quality metrics for MOUD initiation and engagement, few hospitals provide hospital based opioid treatment (HBOT). This protocol describes a cluster-randomized hybrid type-2 implementation study comparing low-intensity and high-intensity implementation support strategies to help community hospitals implement HBOT.

Methods
Four state implementation hubs with expertise in initiating HBOT programs will provide implementation support to 24 community hospitals (6 hospitals/hub) interested in starting HBOT. Community hospitals will be randomized to 24-months of either a low-intensity intervention (distribution of an HBOT best-practice manual, a lecture series based on the manual, referral to publicly available resources, and on-demand technical assistance) or a high-intensity intervention (the low-intensity intervention plus funding for a hospital HBOT champion and regular practice facilitation sessions with an expert hub). The primary efficacy outcome, adapted from the National Committee on Quality Assurance, is the proportion of patients engaged in MOUD 34-days following hospital discharge. Secondary and exploratory outcomes include acute care utilization, non-fatal overdose, death, MOUD engagement at various time points, hospital length of stay, and discharges against medical advice. Primary, secondary, and exploratory outcomes will be derived from state Medicaid data. Implementation outcomes, barriers, and facilitators are assessed via longitudinal surveys, qualitative interviews, practice facilitation contact logs, and HBOT sustainability metrics. We hypothesize that the proportion of patients receiving care at hospitals randomized to the high-intensity arm will have greater MOUD engagement following hospital discharge.

Discussion
Initiation of MOUD during hospitalization improves MOUD engagement post hospitalization. Few studies, however, have tested different implementation strategies on HBOT uptake, outcome, and sustainability and only one to date has tested implementation of a specific type of HBOT (addiction consultation services). This cluster-randomized study comparing different intensities of HBOT implementation support will inform hospitals and policymakers in identifying effective strategies for promoting HBOT dissemination and adoption in community hospitals.

Trial registration
NCT04921787.
Evaluation of commonly used reinforcement materials for color paintings on ancient wooden architecture in China
Authors: Han Kezhu , Teri Gele , Cheng Cong , Tian Yuxiao , Huang Dan , Ge Mantang , Fu Peng , Luo Yujia , Li Yuhu 
Published: April 2024

Abstract
Over recent decades, various heritage institutions have utilized a multitude of materials to reinforce the painted layers of ancient Chinese wooden architecture. In this study, we conducted a comprehensive evaluation of the properties and durability of four widely used reinforcement agents, i.e., AC33, B72, FKM, and FEVE, using a series of techniques, including contact angle tests, water vapor permeability measurements, color difference evaluations, tensile strength tests, UV–vis spectrometry, and scanning electron microscopy (SEM). The results demonstrate that the transmittance rates of the films made from these four reinforcement agents are approximately 100% in the visible light range. Among them, the B72 film exhibits the highest hydrophobicity. The AC33 film has better permeability, fair tensile strength, and is more hydrophilic. FKM film is more hydrophobic but has lower permeability and tensile strength. Overall, the FEVE film presents the best comprehensive properties, including better hydrophobicity, higher permeability, and tensile strength. This research provides data evidence to guide heritage conservators and curators in decision-making when selecting appropriate reinforcement materials in practice.
A CT-based radiomics nomogram for predicting histologic grade and outcome in chondrosarcoma
Authors: Li Xiaoli , Shi Xianglong , Wang Yanmei , Pang Jing , Zhao Xia , Xu Yuchao , Li Qiyuan , Wang Ning , Duan Feng , Nie Pei 
Published: April 2024

Abstract
Objective
The preoperative identification of tumor grade in chondrosarcoma (CS) is crucial for devising effective treatment strategies and predicting outcomes. The study aims to build and validate a CT-based radiomics nomogram (RN) for the preoperative identification of tumor grade in CS, and to evaluate the correlation between the RN-predicted tumor grade and postoperative outcome.

Methods
A total of 196 patients (139 in the training cohort and 57 in the external validation cohort) were derived from three different centers. A clinical model, radiomics signature (RS) and RN (which combines significant clinical factors and RS) were developed and validated to assess their ability to distinguish low-grade from high-grade CS with area under the curve (AUC). Additionally, Kaplan-Meier survival analysis was applied to examine the association between RN-predicted tumor grade and recurrence-free survival (RFS) of CS. The predictive accuracy of the RN was evaluated using Harrell’s concordance index (C-index), hazard ratio (HR) and AUC.

Results
Size, endosteal scalloping and active periostitis were selected to build the clinical model. Three radiomics features, based on CT images, were selected to construct the RS. Both the RN (AUC, 0.842) and RS (AUC, 0.835) were superior to the clinical model (AUC, 0.776) in the validation set (P = 0.003, 0.040, respectively). A correlation between Nomogram score (Nomo-score, derived from RN) and RFS was observed through Kaplan-Meier survival analysis in the training and test cohorts (log-rank P < 0.050). Patients with high Nomo-score tumors were 2.669 times more likely to suffer recurrence than those with low Nomo-score tumors (HR, 2.669, P < 0.001).

Conclusions
The CT-based RN performed well in predicting both the histologic grade and outcome of CS.
Patient and public involvement and engagement (PPIE): how valuable and how hard? An evaluation of ALL_EARS@UoS PPIE group, 18 months on
Authors: Hough Kate , Grasmeder Mary , Parsons Heather , Jones William B , Smith Sarah , Satchwell Chris , Hobday Ian , Taylor Sarah , Newman Tracey 
Published: April 2024

Abstract
Background
ALL_EARS@UoS is a patient and public involvement and engagement (PPIE) group for people with lived experience of hearing loss. The purpose of the group is to share experiences of hearing loss and hearing healthcare, inform research and improve services for patients at University of Southampton Auditory Implant Service. A year after inception, we wanted to critically reflect on the value and challenges of the group. Four members of ALL_EARS@UoS were recruited to an evaluation steering group. This paper reports the evaluation of the group using the UK Standards for Public Involvement.

Methods
An anonymous, mixed-methods questionnaire was co-designed and shared with members of ALL_EARS@UoS using an online platform. The questionnaire was designed to capture satisfaction, individual feedback through free-text answers, and demographic information. Descriptive statistics have been used to express the satisfaction and demographic data. Reflexive thematic analysis has been used to analyse the free-text responses. Group engagement and activity data over time were monitored and collected.

Results
The questionnaire response rate was 61% (11/18). Areas identified as strengths were ‘Communication’ and ‘Working together’. Five themes were developed from the thematic analysis; (1) Increased knowledge and awareness around the topic of hearing health for group members and wider society, (2) supporting research, (3) inclusivity within the group, (4) opportunity to make a difference for people in the future and (5) running of the group/group organisation. The data highlighted the value and challenges of PPIE. Members described feeling listened to and appreciation of being able to share experiences. Time of day and meeting format were identified as challenges as they affected who could attend the meetings. The ability to secure and maintain sufficient funding and time to support inclusive and diverse PPIE activities is a challenge for researchers.

Conclusions
We have identified how PPIE added value to both group members and researchers, emphasising the true benefit of PPIE. We have highlighted challenges we are facing and our plan to tackle these. We aim to continue to develop and sustain a group that reflects the diversity of the Deaf/deaf or hard of hearing community and of our local community.
Cancer therapy related cardiac dysfunction as a result of Panitumumab
Authors: Senechal Isabelle , Vogiatzakis Nikolaos , Andres Maria Sol , Tong Jieli , Ramalingam Sivatharshini , Rosen Stuart D , Lyon Alexander R , Nazir Muhummad Sohaib 
Published: April 2024

AbstractPanitumumab is a human immunoglobulin monoclonal antibody designed to target the epidermal growth factor receptor (EGFR) which is used in the treatment of metastatic colorectal cancer alone or in combination with chemotherapy. In this report, we present a case of new onset heart failure with reduced ejection fraction in a patient following panitumumab therapy. A 73-year-old gentleman with metastatic rectal adenocarcinoma presented to his local hospital with increased shortness of breath, two months after his first and only dose of panitumumab. A transthoracic echocardiogram demonstrated dilated left ventricle with global hypokinesis and an estimated left ventricular ejection fraction of 25%. Our patient underwent a comprehensive diagnostic assessment at his presentation, including ECG, transthoracic echocardiogram, cardiac magnetic resonance, computed tomography coronary angiography (CTCA), invasive coronary angiogram and 18F-FDG PET-CT. These investigations revealed no evidence of ischemic events or inflammatory processes that could account for the severe left ventricular dysfunction. To our knowledge, this is the first reported case of heart failure with reduced ejection fraction linked to panitumumab with subsequent deep phenotyping. The current guidelines do not recommend specific cardiovascular monitoring protocols for patients receiving anti-EGFR monoclonal antibodies. Until more data are available, it would be prudent to implement the same cardiovascular surveillance measures outlined for individuals receiving osimertinib, which is an EGFR tyrosine kinase inhibitor.
Online and offline dating violence: same same, but different?
Authors: Jaureguizar Joana , Dosil-Santamaria Maria , Redondo Iratxe , Wachs Sebastian , Machimbarrena Juan M. 
Published: April 2024

Abstract
Background
Violent behaviors in romantic relationships among adolescents and young people are pressing social matter as they have an effect on both victims and aggressors. Moreover, in the last decades, new forms of harassment, control, and abuse through social networks and mobile phones have arisen. Therefore, now forms of online and offline dating violence coexist.

Objectives
The aim was to analyze the prevalence rates by sex and age and the co-occurrence of online and offline dating violence. Moreover, the roles of online and offline dating violence aggressors and victims for their self-esteem, hostility, general psychological state, and emotional intelligence were investigated.

Method
Three hundred forty-one university students from the Basque Country, Spain, participated in the study. They completed six validated instruments related to the mentioned variables.

Results
Results highlight the high prevalence of online and offline dating violence in the sample and the co-occurrence of both types. No gender nor sex differences were found for online and offline dating violence perpetration and victimization. The correlation between online and offline dating violence was confirmed, and the reciprocity of violence is greater for offline violence. In relation to the role, both types of victims (online and offline) showed higher levels of hostility and psychological symptomatology than non-victims, but differences in self-esteem and emotional regulation were found in these modalities. Online and offline perpetrators shared hostility and some psychological symptoms as characteristics compared to non-victims, but differed in other symptoms and emotional intelligence.

Conclusion
There is a continuum between offline and online victimization perpetration albeit differences in the characteristics such as self-esteem, emotional intelligence, and general functioning exist.
Feedback sources in essay writing: peer-generated or AI-generated feedback?
Authors: Banihashem Seyyed Kazem , Kerman Nafiseh Taghizadeh , Noroozi Omid , Moon Jewoong , Drachsler Hendrik 
Published: April 2024

AbstractPeer feedback is introduced as an effective learning strategy, especially in large-size classes where teachers face high workloads. However, for complex tasks such as writing an argumentative essay, without support peers may not provide high-quality feedback since it requires a high level of cognitive processing, critical thinking skills, and a deep understanding of the subject. With the promising developments in Artificial Intelligence (AI), particularly after the emergence of ChatGPT, there is a global argument that whether AI tools can be seen as a new source of feedback or not for complex tasks. The answer to this question is not completely clear yet as there are limited studies and our understanding remains constrained. In this study, we used ChatGPT as a source of feedback for students’ argumentative essay writing tasks and we compared the quality of ChatGPT-generated feedback with peer feedback. The participant pool consisted of 74 graduate students from a Dutch university. The study unfolded in two phases: firstly, students’ essay data were collected as they composed essays on one of the given topics; subsequently, peer feedback and ChatGPT-generated feedback data were collected through engaging peers in a feedback process and using ChatGPT as a feedback source. Two coding schemes including coding schemes for essay analysis and coding schemes for feedback analysis were used to measure the quality of essays and feedback. Then, a MANOVA analysis was employed to determine any distinctions between the feedback generated by peers and ChatGPT. Additionally, Spearman’s correlation was utilized to explore potential links between the essay quality and the feedback generated by peers and ChatGPT. The results showed a significant difference between feedback generated by ChatGPT and peers. While ChatGPT provided more descriptive feedback including information about how the essay is written, peers provided feedback including information about identification of the problem in the essay. The overarching look at the results suggests a potential complementary role for ChatGPT and students in the feedback process. Regarding the relationship between the quality of essays and the quality of the feedback provided by ChatGPT and peers, we found no overall significant relationship. These findings imply that the quality of the essays does not impact both ChatGPT and peer feedback quality. The implications of this study are valuable, shedding light on the prospective use of ChatGPT as a feedback source, particularly for complex tasks like argumentative essay writing. We discussed the findings and delved into the implications for future research and practical applications in educational contexts.
Serrated plastic flow in deforming complex concentrated alloys: universal signatures of dislocation avalanches
Authors: Karimi Kamran , Esfandiarpour Amin , Papanikolaou Stefanos 
Published: April 2024

AbstractUnder plastic flow, multi-element high/medium-entropy alloys (HEAs/MEAs) commonly exhibit complex intermittent and collective dislocation dynamics owing to inherent lattice distortion and atomic-level chemical complexities. Using atomistic simulations, we report on an avalanche study of model face-centered cubic (fcc) NiCoCrFeMn and NiCoCr chemically complex alloys aiming for microstructural/topological characterization of associated dislocation avalanches. The results of our avalanche simulations reveal a close correspondence between the observed serration features in the stress response of the deforming HEA/MEA and the incurred slip patterns within the bulk crystal. We show that such correlations become quite pronounced within the rate-independent (quasi-static) regime exhibiting scale-free statistics and critical scaling features as universal signatures of dislocation avalanches.