bluuebunny/crossref_metadata_2025_split huggingface dataset:
DP-Parse: Finding Word Boundaries from Raw Speech with an Instance Lexicon
Authors: Algayres Robin , Ricoul Tristan , Karadayi Julien , Laurençon Hugo , Zaiem Salah , Mohamed Abdelrahman , Sagot Benoît , Dupoux Emmanuel 
Published: September 2022

AbstractFinding word boundaries in continuous speech is challenging as there is little or no equivalent of a ‘space’ delimiter between words. Popular Bayesian non-parametric models for text segmentation (Goldwater et al., 2006, 2009) use a Dirichlet process to jointly segment sentences and build a lexicon of word types. We introduce DP-Parse, which uses similar principles but only relies on an instance lexicon of word tokens, avoiding the clustering errors that arise with a lexicon of word types. On the Zero Resource Speech Benchmark 2017, our model sets a new speech segmentation state-of-the-art in 5 languages. The algorithm monotonically improves with better input representations, achieving yet higher scores when fed with weakly supervised inputs. Despite lacking a type lexicon, DP-Parse can be pipelined to a language model and learn semantic and syntactic representations as assessed by a new spoken word embedding benchmark. 1
Evaluating Attribution in Dialogue Systems: The BEGIN Benchmark
Authors: Dziri Nouha , Rashkin Hannah , Linzen Tal , Reitter David 
Published: September 2022

Abstract
Knowledge-grounded dialogue systems powered by large language models often generate responses that, while fluent, are not attributable to a relevant source of information. Progress towards models that do not exhibit this issue requires evaluation metrics that can quantify its prevalence. To this end, we introduce the Benchmark for Evaluation of Grounded INteraction (Begin), comprising 12k dialogue turns generated by neural dialogue systems trained on three knowledge-grounded dialogue corpora. We collect human annotations assessing the extent to which the models’ responses can be attributed to the given background information. We then use Begin to analyze eight evaluation metrics. We find that these metrics rely on spurious correlations, do not reliably distinguish attributable abstractive responses from unattributable ones, and perform substantially worse when the knowledge source is longer. Our findings underscore the need for more sophisticated and robust evaluation metrics for knowledge-grounded dialogue. We make Begin publicly available at https://github.com/google/BEGIN-dataset.
Patterns of variation in dietary composition among four populations of Alpine salamanders (Salamandra atra prenjensis)
Authors: Šunje Emina , Courant Julien , Vesnić Adi , Koren Toni , Lukić Bilela Lada , Van Damme Raoul 
Published: September 2022

Abstract
In this paper we studied the diet in four allopatric populations of alpine salamanders in the Dinarides (Salamandra atra prenjensis). Food consumption was assessed by stomach flushing while food availability by pitfall traps and netting. We aimed to: (i) assess the realized dietary niche, (ii) investigate prey preferences, (ii) explore individual specialization, clustering and nestedness. All populations have an equally wide dietary span that is among the largest reported for terrestrial salamanders. On the other hand, the amount of ingested prey is rather low compared to other salamander species; the quantity of consumed prey did not differ among populations but younger individuals fed more than adults. Food composition somewhat differed among populations but not among sex/age classes. In all four populations, the bulk of diet consisted of beetles, spiders, snails and millipedes; except for beetles, such prey was also preffered together with centipedes and isopods. For most of the prey categories, the direction of the electivity indices was the same across populations. In none of the populations a nested pattern in the interindividual subdivision of dietary resources was registered. However, indications for individual specialization and modularity were observed disclosing that the broad niche of populations is composed of smaller individual niches that cluster along the dietary axis. Overall, the four populations have very similar structural characteristics of the dietary niche and there is little evidence for local dietary differentiation probably due to the absence of drivers for change.
Performance of saline and water gargling for SARS-CoV-2 reverse transcriptase PCR testing: a systematic review and meta-analysis
Authors: Tsang Nicole Ngai Yung , So Hau Chi , Cowling Benjamin J. , Leung Gabriel M. , Ip Dennis Kai Ming 
Published: September 2022

The performance of gargling for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) reverse transcriptase (RT)-PCR testing has not been previously reviewed. This review systematically assessed the performance of saline and water gargling for SARS-CoV-2 RT-PCR testing in the settings of diagnosing and monitoring viral shedding.We included original studies comparing the performance of gargling and (oropharyngeal–)nasopharyngeal swabs for SARS-CoV-2 RT-PCR testing. Studies conducted in either suspected individuals or confirmed cases were included and analysed separately. The sensitivity, specificity, positive predictive value (PPV) and negative predictive value (NPV) were examined using random-effects models.Gargles achieved a high overall sensitivity (91%), specificity (97%), PPV (95%) and NPV (91%) for SARS-CoV-2 RT-PCR testing. Studies using saline gargle and water gargle have an overall sensitivity of 97% and 86%, respectively. The sensitivity values were largely maintained for saline and water gargling on stratified analysis, for both diagnosis (96% and 92%) and viral shedding monitoring (98% and 78%). A higher sensitivity was also reported by studies using sterile saline (100%), a smaller amount of gargling solution (92%versus87%) and a longer gargling duration (95%versus86%).Our results supported the use of gargling as a sampling approach for SARS-CoV-2 RT-PCR testing, which achieved a high sensitivity for both diagnosis and viral shedding monitoring purposes. Further investigation on the comparative performance of different gargling mediums is needed to draw a definitive conclusion.
Metal Electrode-Free Halide Perovskite-Based Flexible Ultraviolet-C Photodetector with Large Area
Authors: Nguyen Thi My Huyen , Garner Sean M. , Bark Chung Wung 
Published: September 2022

AbstractUltraviolet-C (UVC) photodetector has appealed to a numerous number of research owing to its manifold applications in wireless communication, flame monitoring, and medicine. However, in addition to superior performance and high stability of recent studies, scalability and production cost are important factors for commercialization and practical implementation. In this study, a halide perovskite-based UVC photodetector was fabricated using spin-coating process and low-temperature annealing. Corning® Willow® Glass was selected as the substrate for the bottom-illuminated device due to its flexibility and exceptional optical transmission (approximately 60%) in the deep-UV region. The device had a vertical structure with a large active area (1 cm2) owing to the judicious utilization of electrodes. Under bent state with a curvature radius of 25 mm, the as-fabricated device exhibited high response and repeatability with an on/off ratio of 9.57 × 103, a fast response speed of 45/46 ms (rise/fall times) at zero bias under the illumination of a 254-nm UV lamp. The results are based on a flexible and lightweight photodetector without the utilization of notable metal electrodes.
Evaluation of classification in single cell atac-seq data with machine learning methods
Authors: Guo Hongzhe , Yang Zhongbo , Jiang Tao , Liu Shiqi , Wang Yadong , Cui Zhe 
Published: September 2022

Abstract
Background
The technologies advances of single-cell Assay for Transposase Accessible Chromatin using sequencing (scATAC-seq) allowed to generate thousands of single cells in a relatively easy and economic manner and it is rapidly advancing the understanding of the cellular composition of complex organisms and tissues. The data structure and feature in scRNA-seq is similar to that in scATAC-seq, therefore, it’s encouraged to identify and classify the cell types in scATAC-seq through traditional supervised machine learning methods, which are proved reliable in scRNA-seq datasets.

Results
In this study, we evaluated the classification performance of 6 well-known machine learning methods on scATAC-seq. A total of 4 public scATAC-seq datasets vary in tissues, sizes and technologies were applied to the evaluation of the performance of the methods. We assessed these methods using a 5-folds cross validation experiment, called intra-dataset experiment, based on recall, precision and the percentage of correctly predicted cells. The results show that these methods performed well in some specific types of the cell in a specific scATAC-seq dataset, while the overall performance is not as well as that in scRNA-seq analysis. In addition, we evaluated the classification performance of these methods by training and predicting in different datasets generated from same sample, called inter-datasets experiments, which may help us to assess the performance of these methods in more realistic scenarios.

Conclusions
Both in intra-dataset and in inter-dataset experiment, SVM and NMC are overall outperformed others across all 4 datasets. Thus, we recommend researchers to use SVM and NMC as the underlying classifier when developing an automatic cell-type classification method for scATAC-seq.
Fear of recurrence in elderly patients with coronary heart disease: the current situation and influencing factors according to a questionnaire analysis
Authors: Zhen Jing , Wang Jing , Wang Yi-Lin , Jiao Jin , Li Jing , Du Xiao-Jing , Li Yan-Ling 
Published: September 2022

Abstract
Objective
Fear of recurrence is a common psychosocial sequela among patients with heart disease. Analyses of coronary heart disease, particularly in elderly patients, are relatively rare. This study aimed to investigate the current situation in this context, as well as the influencing fear factors concerning recurrence in elderly patients with coronary heart disease.

Methods
A total of 200 elderly outpatients with coronary heart disease were recruited to participate in this survey from a tertiary hospital in Baoding (China). The questionnaires included items from the Disease Progression Simplified Scale, the Simplified Coping Style Questionnaire, and the Social Support Rating Scale (SSRS). Univariate and multivariate regression analyses were adopted to investigate the influencing factors on the fear of recurrence.

Results
The fear of recurrence score in elderly patients with coronary heart disease was (38.46 ± 8.13), among which 119 cases (59.5%) scored higher than 34 points. The SSRS total average score was (34.89 ± 9.83) points. Positive coping style and social support were negatively correlated with the total score of recurrence fear (r =  − 0.621, − 0.413, both P < 0.001). There was a positive correlation between negative coping style and the total score of recurrence fear (r = 0.232, P < 0.001). Multiple linear regression analysis showed that the course of the disease, the number of disease recurrence cases, active coping, and social support were relevant factors in fear of recurrence (all P < 0.05).

Conclusion
The detection rate of fear of recurrence in elderly patients with coronary heart disease was relatively high but could be reduced by active interventions and enhancing social support.
Systemic immune-inflammation index could be associated with pseudophakic cystoid macular edema after an uneventful phacoemulsification surgery in patients without risk factors
Authors: Kocamış Sücattin İlker , Boz Ali Altan Ertan , Özdemir İbrahim 
Published: September 2022

Abstract
Background
To evaluate the association between serum biomarkers and pseudophakic cystoid macular edema (PCME) in eyes without risk factors after uneventful phacoemulsification cataract surgery.

Methods
This is a case–control study. Patients without risk factors and who developed clinically significant PCME after uncomplicated phacoemulsification surgery were enrolled in the study. The age- and sex-matched control group that had normal fundus examination findings and 10/10 visual acuity in the first week, first month and following postoperative control visits was randomly recruited from the same study cohort. The neutrophil-to-lymphocyte ratio (NLR), platelet-to-lymphocyte ratio (PLR), and systemic immune-inflammation index (SII) were obtained from the preoperative complete blood count (CBC) test and compared between the two groups. Linear regression analysis was used to assess the relationship between central macular thickness (CMT) and biomarkers. A binary logistic regression model was generated to evaluate the significance of the biomarkers in predicting PCME. The receiver operating characteristic (ROC) curves of the significant parameters in the logistic regression model were presented to detect the area under the curve (AUC), the cut-off point, the sensitivity and the specificity.

Results
The study cohort included 5352 patients. Of these patients, 52 (0.97%) met the inclusion criteria, and 60 age- and sex-matched patients were recruited as the control group. PLR, NLR, and SII were significantly different between the two groups (p = 0.006, p = 0.002, p < 0.001, respectively). According to the linear regression analysis, SII was found to have a significant relationship with CMT (p < 0.001). Only SII was assessed as significant in the logistic regression model (p = 0.046). In the ROC curve, the AUC of SII was 0.709. The sensitivity and specificity of SII for PCME prediction were 65.38% and 75%, respectively, and the cut-off point was 433.70.

Conclusion
SII is associated with the occurrence of PCME in eyes without risk factors after uneventful phacoemulsification surgery. SII could be a useful tool to predict PCME in eyes without risk factors.
Evaluating the validity of the Amharic Brief Pain Inventory among people with chronic primary musculoskeletal pain in Ethiopia
Authors: Abebe Abey Bekele , Ayele Tadesse Awoke , Miller Jordan 
Published: September 2022

Abstract
Background
The Brief Pain Inventory (BPI) is a multidimensional pain assessment tool used to evaluate pain severity and pain interference. The BPI has been translated and validity estimated across multiple languages and patient populations for clinical and research settings. This study aimed to assess the reliability and validity of Amharic BPI test scores among patients with chronic primary musculoskeletal pain living in Ethiopia.

Methods
This study had two parts: cognitive interviews and psychometric testing. An expert committee reviewed the Amharic BPI, and fifteen participants participated in the cognitive interviews. The results from the cognitive interviews were evaluated, and the committee approved recommendations for the tool prior to psychometric testing. Two hundred and sixty-nine patients were recruited from three sites for the psychometric testing. The results were summarised using descriptive statistics. Cronbach’s alpha was calculated to estimate the internal consistency. To assess test-retest reliability, the intraclass coefficient was examined, and a Bland-Altman plot was created. Construct validity was determined using confirmatory factor analysis by testing BPI’s previously suggested two or three-factor dimensionalities. Convergent validity was assessed by estimating the correlation between the Amharic BPI and SF-36 subscales.

Results
The Amharic BPI scores showed a good internal consistency using a 2-factor model with α = 0.89 for pain severity and α = 0.91 for pain interference. Good internal consistency was also observed in the 3-factor model, with α = 0.89 for pain severity, α = 0.84 for activity interference, and α = 0.86 for affective interference items. The test-retest reliability testing resulted in an ICC = 0.82 for pain severity and ICC = 0.90 for the pain interference. The severity scale had the highest correlation with bodily pain subscale of the SF-36 at r = − 0.44, and the interference scale with Physical functioning scale of SF-36 at r = − 0.63. Confirmatory factor analysis support rating Amharic BPI using a two-factor approach.

Conclusions
Our findings showed that Amharic BPI scores demonstrate internal consistency, test-retest reliability, and construct validity among patients with chronic primary musculoskeletal pain in Ethiopia. Accordingly, the tool can be used in clinical practice or research in similar settings.
Availability and readiness of healthcare facilities and their effects on long-acting modern contraceptive use in Bangladesh: analysis of linked data
Authors: Khan Md Nuruzzaman , Akter Shahinoor , Islam M. Mofizul 
Published: September 2022

Abstract
Aim
Increasing access to long-acting modern contraceptives (LMAC) is one of the key factors in preventing unintended pregnancy and protecting women’s health rights. However, the availability and accessibility of health facilities and their impacts on LAMC utilisation (implant, intrauterine devices, sterilisation) in low- and middle-income countries is an understudied topic. This study aimed to examine the association between the availability and readiness of health facilities and the use of LAMC in Bangladesh.

Methods
In this survey study, we linked the 2017/18 Bangladesh Demographic and Health Survey data with the 2017 Bangladesh Health Facility Survey data using the administrative-boundary linkage method. Mixed-effect multilevel logistic regressions were conducted. The sample comprised 10,938 married women of 15–49 years age range who were fertile but did not desire a child within 2 years of the date of survey. The outcome variable was the current use of LAMC (yes, no), and the explanatory variables were health facility-, individual-, household- and community-level factors.

Results
Nearly 34% of participants used LAMCs with significant variations across areas in Bangladesh. The average scores of the health facility management and health facility infrastructure were 0.79 and 0.83, respectively. Of the facilities where LAMCs were available, 69% of them were functional and ready to provide LAMCs to the respondents. The increase in scores for the management (adjusted odds ratio (aOR), 1.59; 95% CI, 1.21–2.42) and infrastructure (aOR, 1.44; 95% CI, 1.01–1.69) of health facilities was positively associated with the overall uptake of LAMC. For per unit increase in the availability and readiness scores to provide LAMC at the nearest health facilities, the aORs for women to report using LAMC were 2.16 (95% CI, 1.18–3.21) and 1.74 (95% CI, 1.15–3.20), respectively. A nearly 27% decline in the likelihood of LAMC uptake was observed for every kilometre increase in the average regional-level distance between women’s homes and the nearest health facilities.

Conclusion
The proximity of health facilities and their improved management, infrastructure, and readiness to provide LAMCs to women significantly increase their uptake. Policies and programs should prioritise improving health facility readiness to increase LAMC uptake.
“It’s all about asking from those who have walked the path”: Patient and stakeholder perspectives on how peers may shift substance use stigma in HIV care in South Africa
Authors: Magidson Jessica F. , Rose Alexandra L. , Regenauer Kristen S. , Brooke-Sumner Carrie , Anvari Morgan S. , Jack Helen E. , Johnson Kim , Belus Jennifer M. , Joska John , Bassett Ingrid V. , Sibeko Goodman , Myers Bronwyn 
Published: September 2022

Abstract
Background
South Africa has the highest number of people with HIV (PWH) globally and a significant burden of co-occurring substance use disorder (SUD). Health care worker (HCW) stigma towards SUD is a key barrier to HIV care engagement among PWH with SUD. Support from peers—individuals with lived experience of SUD—may be a promising solution for addressing SUD stigma, while also improving engagement in HIV care. We evaluated the perceived acceptability of integrating a peer role into community-based HIV care teams as a strategy to address SUD stigma at multiple levels and improve patient engagement in HIV care.

Methods
Patients and stakeholders (N = 40) were recruited from publicly-funded HIV and SUD organizations in Cape Town, South Africa. We conducted a quantitative assessment of stigma among stakeholders using an adapted Social Distance Scale (SDS) and patient perceptions of working with a peer, as well as semi-structured interviews focused on experiences of SUD stigma, acceptability of a peer model integrated into community-based HIV care, and potential peer roles.

Results
On the SDS, 75% of stakeholders had high stigma towards a patient with SUD, yet 90% had low stigma when in recovery for at least 2 years. All patients endorsed feeling comfortable talking to someone in recovery and wanting them on their HIV care team. Three main themes emerged from the qualitative data: (1) patient-reported experiences of enacted SUD and HIV stigmas were common and impacted HIV care engagement; (2) both patients and stakeholders considered a peer model highly acceptable for integration into HIV care to support engagement and address SUD stigma; and (3) patients and stakeholders identified both individual-level and systems-level roles for peers, how peers could work alongside other providers to improve patient care, and key characteristics that peers would need to be successful in these roles.

Conclusions
Findings from this formative work point to the promise of a peer model for reducing SUD stigma among patients and HCWs within community-based HIV care teams in SA.
The mental representation of occupational stereotypes is driven as much by their affective as by their semantic content
Authors: Kocsor Ferenc , Ferencz Tas , Kisander Zsolt , Tizedes Gitta , Schaadt Blanka , Kertész Rita , Kozma Luca , Vincze Orsolya , Láng András 
Published: September 2022

Abstract
Background
Studies on person perception showed that stereotypes can be activated by presenting either characteristic traits of group members, or labels associated to these groups. However, it is not clear whether these pieces of semantic information activate negative and positive stereotypes directly, or via an indirect cognitive pathway leading through brain regions responsible for affective responses. Our main objective with this study was to disentangle the effects of semantic and affective contents. To this end, we intended to scrutinize whether the representation of occupational labels is independent of the emotions they evoke.

Methods
Participants (N = 73, M = 27.0, SD = 9.1, 31 men 42 women,) were asked to complete two tasks presented online. In the first task they had to arrange 20 occupational labels—randomly chosen from a pool of 60 items—in a two-dimensional space, moving the mouse pointer along two undefined axes. In a second task the axes’ names were defined a priori. Subjects were asked to arrange the labels according to valence, the extent to which the word evoked pleasant or unpleasant feelings, and arousal, the extent to which the word evoked excitement or calmness.

Results
Based on the final coordinates of the labels, two cluster analyses were carried out separately in the two tasks. The two clusters were compared with Fisher’s exact test, which revealed that the cluster structures overlap significantly.

Conclusions
The results suggest that the spontaneous categorization and the semantic representation of occupations rely largely on the affective state they evoke. We propose that affective content might have a primacy over detailed semantic information in many aspects of person perception, including social categorization.