bluuebunny/crossref_metadata_2025_split huggingface dataset:
Fake speech detection using VGGish with attention block
Authors: Kanwal Tahira , Mahum Rabbia , AlSalman Abdul Malik , Sharaf Mohamed , Hassan Haseeb 
Published: June 2024

AbstractWhile deep learning technologies have made remarkable progress in generating deepfakes, their misuse has become a well-known concern. As a result, the ubiquitous usage of deepfakes for increasing false information poses significant risks to the security and privacy of individuals. The primary objective of audio spoofing detection is to identify audio generated through numerous AI-based techniques. Several techniques for fake audio detection already exist using machine learning algorithms. However, they lack generalization and may not identify all types of AI-synthesized audios such as replay attacks, voice conversion, and text-to-speech (TTS). In this paper, a deep layered model, i.e., VGGish, along with an attention block, namely Convolutional Block Attention Module (CBAM) for spoofing detection, is introduced. Our suggested model successfully classifies input audio into two classes: Fake and Real, converting them into mel-spectrograms, and extracting their most representative features due to the attention block. Our model is a significant technique to utilize for audio spoofing detection due to a simple layered architecture. It captures complex relationships in audio signals due to both spatial and channel features present in an attention module. To evaluate the effectiveness of our model, we have conducted in-depth testing using the ASVspoof 2019 dataset. The proposed technique achieved an EER of 0.52% for Physical Access (PA) attacks and 0.07 % for Logical Access (LA) attacks.
GLFER-Net: a polyphonic sound source localization and detection network based on global-local feature extraction and recalibration
Authors: Ma Mengzhen , Hu Ying , He Liang , Huang Hao 
Published: June 2024

AbstractPolyphonic sound source localization and detection (SSLD) task aims to recognize the categories of sound events, identify their onset and offset times, and detect their corresponding direction-of-arrival (DOA), where polyphonic refers to the occurrence of multiple overlapping sound sources in a segment. However, vanilla SSLD methods based on convolutional recurrent neural network (CRNN) suffer from insufficient feature extraction. The convolutions with kernel of single scale in CRNN fail to adequately extract multi-scale features of sound events, which have diverse time-frequency characteristics. It results in that the extracted features lack fine-grained information helpful for the localization of sound sources. In response to these challenges, we propose a polyphonic SSLD network based on global-local feature extraction and recalibration (GLFER-Net), where the global-local feature (GLF) extractor is designed to extract the multi-scale global features through an omni-directional dynamic convolution (ODConv) layer and multi-scale feature extraction (MSFE) module. The local feature extraction (LFE) unit is designed for capturing detailed information. Besides, we design a feature recalibration (FR) module to emphasize the crucial features along multiple dimensions. On the open datasets of Task3 in DCASE 2021 and 2022 Challenges, we compared our proposed GLFER-Net with six and four SSLD methods, respectively. The results show that the GLFER-Net achieves competitive performance. The modules we designed are verified to be effective through a series of ablation experiments and visualization analyses.
Comparing automated surveillance systems for detection of pathogen-related clusters in healthcare settings
Authors: Sim Jean Xiang Ying , Pinto Susanne , van Mourik Maaike S. M. 
Published: June 2024

Abstract
Background
Detection of pathogen-related clusters within a hospital is key to early intervention to prevent onward transmission. Various automated surveillance methods for outbreak detection have been implemented in hospital settings. However, direct comparison is difficult due to heterogenicity of data sources and methodologies. In the hospital setting, we assess the performance of three different methods for identifying microbiological clusters when applied to various pathogens with distinct occurrence patterns.

Methods
In this retrospective cohort study we use WHONET-SaTScan, CLAR (CLuster AleRt system) and our currently used percentile-based system (P75) for the means of cluster detection. The three methods are applied to the same data curated from 1st January 2014 to 31st December 2021 from a tertiary care hospital. We show the results for the following case studies: the introduction of a new pathogen with subsequent endemicity, an endemic species, rising levels of an endemic organism, and a sporadically occurring species.

Results
All three cluster detection methods showed congruence only in endemic organisms. However, there was a paucity of alerts from WHONET-SaTScan (n = 9) compared to CLAR (n = 319) and the P75 system (n = 472). WHONET-SaTScan did not pick up smaller variations in baseline numbers of endemic organisms as well as sporadic organisms as compared to CLAR and the P75 system. CLAR and the P75 system revealed congruence in alerts for both endemic and sporadic organisms.

Conclusions
Use of statistically based automated cluster alert systems (such as CLAR and WHONET-Satscan) are comparable to rule-based alert systems only for endemic pathogens. For sporadic pathogens WHONET-SaTScan returned fewer alerts compared to rule-based alert systems. Further work is required regarding clinical relevance, timelines of cluster alerts and implementation.
Resiliency against food insecurity among the Black population in Scarborough during the COVID-19 pandemic
Authors: Demi Suleyman M. , Sicchia Suzanne R. , Dei George J. S. , Gebremikael Liben , Shaw Tameika 
Published: June 2024

Abstract
Background
One of the effects of the COVID-19 pandemic is the increased level of food insecurity, especially during the first wave. Food insecurity is an indication of poverty and results in serious health and social effects. Even though several studies have been conducted to assess the impact of COVID-19, there is a paucity of information on the role of individual community members and local organizations in addressing food insecurity in the province of Ontario, Canada. Consequently, the objective of this study is to examine the role of individuals and community organizations in addressing food insecurity challenges among the Black population in Scarborough in the Greater Toronto Area.

Methods
This qualitative study recruited 20 Black participants from the TAIBU Community Health Center (CHC) located in Scarborough. Furthermore, the study recruited eight nurses and two Black doctors in the Greater Toronto Area (GTA) but only one affiliated with TAIBU. In-depth interviews were used to gather information for analysis. The study used manual coding and NVivo software to analyze the qualitative data.

Results
The study found that there was a reported incidence of food insecurity among the population but new local food aid organizations sprang up to assist the existing ones in tackling food insecurity. However, the study found that the operations of food aid organizations are not sustainable.

Conclusions
Despite the reported cases of food insecurity, local community organizations and individual community members volunteered to support people to boost their resiliency to food insecurity. The findings of the study highlight the role of community organizations in addressing food insecurity during crises including pandemics. Based on the health effects of food insecurity, the study recommends that both federal and provincial governments prioritize food insecurity as a major public health issue.
Incomplete handwritten Dongba character image recognition by multiscale feature restoration
Authors: Bi Xiaojun , Luo Yanlong 
Published: June 2024

Abstract
Incomplete handwritten Dongba character often appears in heritage documents and its recognition is significant for heritage and philology. However, all previous methods always suppose that a complete Dongba character is used as input, and thus fail to achieve satisfactory performance when applied to incomplete Dongba character recognition. In this paper, an end-to-end network (DB2RNet) is proposed for incomplete handwritten Dongba character image recognition by multiscale feature restoration. Specifically, we first develop datasets that contain different levels of incomplete Dongba characters. A restoration module is proposed to restore the input incomplete Dongba character, and then a recognition module is employed to recognize Dongba character. By introducing an inter-module residual connection between the restoration module and recognition module, the DB2RNet can strengthen feature information transmission and boost the recognition performance. In addition, novel multiscale feature blocks are introduced, which can provide more effective texture and contextual information transmission for Dongba character image restoration, and thus yielding better restoration effects and better recognition results. Extensive experiments are conducted on Dongba character, Chinese character and Oracle character datasets and validate the effectiveness, superiority and robustness of our methods. Experiments results demonstrate that our proposed DB2RNet achieves competitive Dongba character restoration and recognition performance and outperforms the current state-of-the-art methods.
A comparison of cryptocurrency volatility-benchmarking new and mature asset classes
Authors: Brini Alessio , Lenz Jimmie 
Published: June 2024

AbstractThe paper analyzes the cryptocurrency ecosystem at both the aggregate and individual levels to understand the factors that impact future volatility. The study uses high-frequency panel data from 2020 to 2022 to examine the relationship between several market volatility drivers, such as daily leverage, signed volatility and jumps. Several known autoregressive model specifications are estimated over different market regimes, and results are compared to equity data as a reference benchmark of a more mature asset class. The panel estimations show that the positive market returns at the high-frequency level increase price volatility, contrary to what is expected from the classical financial literature. We attributed this effect to the price dynamics over the last year of the dataset (2022) by repeating the estimation on different time spans. Moreover, the positive signed volatility and negative daily leverage positively impact the cryptocurrencies’ future volatility, unlike what emerges from the same study on a cross-section of stocks. This result signals a structural difference in a nascent cryptocurrency market that has to mature yet. Further individual-level analysis confirms the findings of the panel analysis and highlights that these effects are statistically significant and commonly shared among many components in the selected universe.
Training as imagined? A critical realist analysis of Scotland’s internal medicine simulation programme
Authors: Kerins Joanne , Ralston Katherine , Stirling Suzanne Anderson , Simpson Nicholas , Tallentire Victoria Ruth 
Published: June 2024

Abstract
Background
Evaluating the impact of simulation-based education (SBE) has prioritised demonstrating a causal link to improved patient outcomes. Recent calls herald a move away from looking for causation to understanding ‘what else happened’. Inspired by Shorrock’s varieties of human work from patient safety literature, this study draws on the concept of work-as-done versus work-as-imagined. Applying this to SBE recognises that some training impacts will be unexpected, and the realities of training will never be quite as imagined. This study takes a critical realist stance to explore the experience and consequences, intended and unintended, of the internal medicine training (IMT) simulation programme in Scotland, to better understand ‘training-as-done’.

Methods
Critical realism accepts that there is a reality to uncover but acknowledges that our knowledge of reality is inevitably our construction and cannot be truly objective. The IMT simulation programme involves three courses over a 3-year period: a 3-day boot camp, a skills day and a 2-day registrar-ready course. Following ethical approval, interviews were conducted with trainees who had completed all courses, as well as faculty and stakeholders both immersed in and distant from course delivery. Interviews were audio-recorded, transcribed verbatim and analysed using critical realist analysis, influenced by Shorrock’s proxies for work-as-done.

Results
Between July and December 2023, 24 interviews were conducted with ten trainees, eight faculty members and six stakeholders. Data described proxies for training-as-done within three broad categories: design, experience and impact. Proxies for training design included training-as-prescribed, training-as-desired and training-as-prioritised which compete to produce training-as-standardised. Experience included training-as-anticipated with pre-simulation anxiety and training-as-unintended with the valued opportunity for social comparison as well as a sense of identity and social cohesion. The impact reached beyond the individual trainee with faculty development and inspiration for other training ventures.

Conclusion
Our findings highlight unintended consequences of SBE such as social comparison and feeling ‘valued as a trainee, valued as a person’. It sheds light on the fear of simulation, reinforcing the importance of psychological safety. A critical realist approach illuminated the ‘bigger picture’, revealing insights and underlying mechanisms that allow this study to present a new framework for conceptualising training evaluation.
Iterative qualitative approach to establishing content validation of a patient-reported outcome measure for arm lymphedema: the LYMPH-Q Upper Extremity Module
Authors: Kaur Manraj N. , Cornacchi Sylvie D. , Tsangaris Elena , Poulsen Lotte , Beelen Louise M. , Bordeleau Louise , Zhong Toni , Jorgensen Mads Gustaf , Sorensen Jens Ahm , Mehrara Babak , Dayan Joseph , Pusic Andrea L. , Klassen Anne F. 
Published: June 2024

Abstract
Background
Breast cancer-related lymphedema (BRCL) is one of the most common causes of upper extremity (UE) lymphedema in developed nations and substantially impacts health-related quality of life. To advance our understanding of the epidemiology and treatment of BRCL, rigorously developed and validated patient-reported outcome measures (PROMs) are needed. This study aimed to demonstrate the iterative content validity of a modular UE lymphedema-specific PROM called the LYMPH-Q UE module.

Methods
A multi-step iterative qualitative approach was used. Semi-structured interview data from in-depth qualitative interviews with adult women (18 years and older) with BCRL were used to develop the first set of the LYMPH-Q UE scales. The content validity of these scales was demonstrated with patient and clinician feedback. Over the course of cognitive debriefing interviews, additional concepts of lymphedema worry and impact on work were identified as missing from the LYMPH-Q UE module. Subsequently, two new qualitative studies (a focus group and in-depth concept elicitation interviews with patients) were conducted, and two new scales were developed to measure lymphedema worry and impact on work life and their content validity was demonstrated.

Results
Qualitative data from in-depth and cognitive interviews with 15 (age 40–74 years) and 16 (age 38–74 years) women with BRCL, respectively, and feedback from 12 clinical experts, were used to develop and demonstrate the content validity of six LYMPH-Q UE scales measuring symptoms, function, appearance, psychological, information, and arm sleeve. Additionally, data from in-depth interviews with 12 (age 35–72 years) women with UE lymphedema and four focus groups (n = 16 women; age 35–74 years) was used to develop and assess the content validity of two new LYMPH-Q UE scales measuring lymphedema worry and impact on work life. The content validity of the previously established six scales was also demonstrated in these subsequent qualitative studies.

Conclusion
The LYMPH-Q UE is a modular PROM developed using international guidelines for PROM development and can be used in clinical practice, research, and quality improvement to enhance patient-centered shared decision-making. This study’s innovative and iterative approach to content validation demonstrates that the LYMPH-Q UE is a comprehensive measure that includes important concepts relevant to patients with UE lymphedema.
Systematic review of validation studies for the use of wearable smartwatches in the screening of atrial fibrillation
Authors: Zarak Muhammad Samsoor , Khan Sher Ali , Majeed Harris , Yasinzai Abdul Qahar Khan , Hamzazai Wadana , Chung Duy , Koshkarian Gregory , Fleming Kevin S. 
Published: June 2024

Abstract
Introduction
Atrial fibrillation (AFib) is a common dysrhythmia and a risk factor for stroke and heart failure. Early detection and treatment are key to avoiding complications (especially in sustained AFib). Here, we systematically review the potential of wearable smartwatches (WSWs) to screen for AFib.

Method
A literature search was conducted, and only those validation studies were shortlisted where the screening ability of WSWs was compared with EKG, and the sensitivity, specificity, positive predictive value (PPV), negative predictive value (NPV), accuracy, and Kappa statistic were provided.

Result
Twelve studies were included with a combined sample size of 1,075,088. Most validation measures of WSWs were above 90% and comparable with KardiaBand by AliveCor (KB), which is an FDA-approved device to detect AFib.

Conclusion
WSWs have the potential to reliably and continuously screen for AFib and detect it in a timely manner. The inconclusive results produced by WSWs are a significant problem. Once the inconclusive results are rectified, WSWs may be used for widespread screening of AFib in those people who are at high risk of developing AFib.
Healthcare access and barriers to utilization among transgender and gender diverse people in Africa: a systematic review
Authors: Jessani Abbas , Berry-Moreau Teagan , Parmar Reeya , Athanasakos Alexia , Prodger Jessica L. , Mujugira Andrew 
Published: June 2024

Abstract
Background
Transgender and gender diverse (TGD) people face significant challenges in accessing timely, culturally competent, and adequate healthcare due to structural and systemic barriers, yet there is a lack of research exploring the access and utilization of healthcare services within African TGD communities. To address this gap, this systematic review explored: (1) barriers to accessing healthcare services and gender-affirming hormone therapy (GAHT) faced by TGD people, (2) demographic and societal factors correlated with the utilization of healthcare services and GAHT, (3) common healthcare and support services utilized by TGD people, and (4) patterns of accessing healthcare services and GAHT within TGD communities.

Methods
A systematic literature search was conducted in PubMed, Embase, and Scopus in September 2023. Eligible studies included peer-reviewed original research, reports, and summaries published in the English language assessing health service accessibility and utilization of TGD people in Africa between January 2016 and December 2023.

Results
From 2072 potentially relevant articles, 159 were assessed for eligibility following duplicate removal, and 49 were included for analysis. Forty-five articles addressed barriers to accessing healthcare services and GAHT, seven focused on demographic and societal factors correlated with the utilization of healthcare services and GAHT, 16 covered common healthcare and support services utilized by TGD people, and seven examined patterns of accessing healthcare services and GAHT. Findings suggested a limited availability of health services, inadequate knowledge of TGD healthcare needs among healthcare providers, a lack of recognition of TGD people in healthcare settings, healthcare-related stigma, and financial constraints within African TGD communities. An absence of studies conducted in Northern and Central Africa was identified.

Conclusions
TGD people in Africa encounter significant barriers when seeking healthcare services, leading to disparity in the utilization of healthcare and resulting in a disproportionate burden of health risks. The implications of these barriers highlight the urgent need for more high-quality evidence to promote health equity for African TGD people.

Trial registration
PROSPERO CRD42024532405.
Health-related quality of life (HRQoL) outcomes from the randomized, double-blind phase 3 KEYNOTE-671 study of perioperative pembrolizumab for early-stage non-small-cell lung cancer (NSCLC).
Authors: Garassino Marina Chiara , Wakelee Heather A. , Spicer Jonathan , Liberman Moishe , Kato Terufumi , Tsuboi Masahiro , Lee Se-Hoon , Chen Ke-Neng , Dooms Christophe Alfons , Majem Margarita , Eigendorff Ekkehard , Martinengo Gastón L. , Bylicki Olivier , Rodriguez-Abreu Delvys , Chaft Jamie E. , Yang Jing , Arunachalam Ashwini , Norquist Josephine M , Keller Steven M. , Gao Shugeng 
Published: June 2024

8012 Background: Neoadjuvant pembrolizumab + cisplatin-based chemotherapy (neoadj pembro + chemo), resection, and adjuvant (adj) pembro (pembro arm; n=397) significantly improved EFS, OS, pCR, and mPR and had an expected safety profile versus neoadj placebo (pbo) + chemo, resection, and adj pbo (pbo arm; n=400) in patients (pts) with resectable stage II, IIIA, or IIIB (N2) NSCLC. We present prespecified pt-reported outcome (PRO) endpoints from KEYNOTE-671. Methods: Pts completed EORTC QLQ-C30 and QLQ-LC13 questionnaires at baseline (BL), the last scheduled presurgery visit, adj cycles 1-4, 7, 10, and 13, and each post treatment visit. A constrained longitudinal data analysis model was used to estimate least squares mean (LSM) score changes from BL to neoadj wk 11 and adj wk 10 (latest time of ≥60% completion and ≥80% compliance) in QLQ-C30 global health status (GHS)/QoL, physical functioning (PF), role functioning (RF), and dyspnea and QLC-LC13 cough and chest pain in all treated pts who completed ≥1 PRO assessment. Data are from interim analysis 2 (10 Jul 2023 cutoff). Results: Across arms, questionnaire completion was ≥87% at neoadj wk 11 and ≥62% at adj wk 10; compliance was ≥87% and ≥92%, respectively. There were no differences in LSM change from BL in the neoadj or adj phase for any PRO score (Table). Conclusions: Adding perioperative pembro maintained HRQoL in both the neoadj and adj settings versus neoadj chemo and surgery alone in pts with resectable early-stage NSCLC. Together with the significant efficacy improvements and absence of new safety signals, HRQoL data support the perioperative pembro regimen as a new standard of care. Clinical trial information: NCT03425643 . [Table: see text]