bluuebunny/crossref_metadata_2025_split huggingface dataset:
Early Cancer Detection in Li–Fraumeni Syndrome with Cell-Free DNA
Authors: Wong Derek , Luo Ping , Oldfield Leslie E. , Gong Haifan , Brunga Ledia , Rabinowicz Ron , Subasri Vallijah , Chan Clarissa , Downs Tiana , Farncombe Kirsten M. , Luu Beatrice , Norman Maia , Sobotka Julia A. , Uju Precious , Eagles Jenna , Pedersen Stephanie , Wellum Johanna , Danesh Arnavaz , Prokopec Stephenie D. , Stutheit-Zhao Eric Y. , Znassi Nadia , Heisler Lawrence E. , Jovelin Richard , Lam Bernard , Lujan Toro Beatriz E. , Marsh Kayla , Sundaravadanam Yogi , Torti Dax , Man Carina , Goldenberg Anna , Xu Wei , Veit-Haibach Patrick , Doria Andrea S. , Malkin David , Kim Raymond H. , Pugh Trevor J. 
Published: October 2023

Abstract

People with Li–Fraumeni syndrome (LFS) harbor a germline pathogenic variant in the TP53 tumor suppressor gene, face a near 100% lifetime risk of cancer, and routinely undergo intensive surveillance protocols. Liquid biopsy has become an attractive tool for a range of clinical applications, including early cancer detection. Here, we provide a proof-of-principle for a multimodal liquid biopsy assay that integrates a targeted gene panel, shallow whole-genome, and cell-free methylated DNA immunoprecipitation sequencing for the early detection of cancer in a longitudinal cohort of 89 LFS patients. Multimodal analysis increased our detection rate in patients with an active cancer diagnosis over uni-modal analysis and was able to detect cancer-associated signal(s) in carriers prior to diagnosis with conventional screening (positive predictive value = 67.6%, negative predictive value = 96.5%). Although adoption of liquid biopsy into current surveillance will require further clinical validation, this study provides a framework for individuals with LFS.

Significance:
By utilizing an integrated cell-free DNA approach, liquid biopsy shows earlier detection of cancer in patients with LFS compared with current clinical surveillance methods such as imaging. Liquid biopsy provides improved accessibility and sensitivity, complementing current clinical surveillance methods to provide better care for these patients.
See related commentary by Latham et al., p. 23.
This article is featured in Selected Articles from This Issue, p. 5
Réception critique du triptyque romanesque de Samuel Beckett
Authors: Touron Eva 
Published: October 2023

Résumé
L’objet principal de cet article est de décrire la réception critique de la trilogie romanesque (Molloy, Malone meurt, L’Innommable) de Samuel Beckett dans la presse française des années 1951 à 1953. L’étude menée a pour vocation de proposer un inventaire de la critique littéraire de l’époque, et de mettre en avant un type de lectorat précis, à savoir le lecteur expert contemporain de Samuel Beckett, identifiable à travers l’écriture journalistique. Dans le dessein de proposer un compte-rendu aussi objectif que possible, notre démarche consistera tout d’abord à évaluer la valence lexicale des coupures de presse, déclinée selon trois modalités (méliorative, péjorative ou neutre) puis à l’articuler à plusieurs variables explicitées au cours de l’article.
The Good-for-Nothing
Authors: Furlani Andre 
Published: October 2023

Abstract
Forty years after Susan Sontag aptly called the great Swiss Modern Robert Walser “a good-humored, sweet Beckett” the writers’ affinities remain unappreciated, even as they both achieved belated recognition in the same year, 1953, Beckett of course with En attendant Godot and Walser with Carl Selig’s edition of Dichtungen in Prosa. In terms readily applicable to the author of the Trilogy, Nouvelles and Textes pour rien, Walser described his work as “a multifariously cut-up or ripped-apart book of the self.” This self-dismantling narrative self is typically a socially inassimilable good-for-nothing, a Taugenichts who reappears in Beckett as the deadbeat or propre-à-rien. The feverishly self-editing, impudently contradictory and provisional idiom of such later fiction as The Robber (Der Räuber, 1925) strikingly presages L’Innommable/The Unnamable.
Reimagining Godot
Authors: Nasir Muhammad Saeed 
Published: October 2023

Abstract
Recent developments in the critical arena indicate that scholars are showing a keen interest in tracing Samuel Beckett’s influence on, or presence in, the non-Western world. They focus on how the Beckettian oeuvre is translated and adapted in various corners of the world. This study aims to contribute to this trend by examining the adaptations of Waiting for Godot in Pakistan. It operates on two interconnected levels. First, it explores how the metaphor of Godot was employed to adapt to Pakistan’s political context. Second, it posits that the adaptable structure of Waiting for Godot empowers artists to mirror the audience’s worldview, resulting in one-of-a-kind interpretations that contest the Eurocentric perspective. The pliability of Beckettian oeuvre encourages diverse literary responses.
Performance of Jukun Panegyrics
Authors: Magaji Maryam Yusuf , Chukwumah Ignatius , Ishaya Yusuf Tsojon 
Published: October 2023

Abstract
Although, from extant literature, Nigeria has been noted to have a considerable number of significant panegyrics, this variety seems to exclude the Jukun, an influential ethnic stock located in southern Taraba, along Nigeria’s northeastern corridor. This article describes Jukun panegyrics against their socio-cultural context. It uses Richard Bauman’s thought on performance as shared heritage peculiar to a people’s verbal art culture to describe how the performers of Jukun panegyrics establish linkages between themselves and their audience by heavily drawing on the lore peculiar and familiar to their audience and region to drive home their performative delivery. It is essential to draw on Bauman’s thought, given that it reveals how oral imagery invokes the lore and entire cosmology common to the Jukun. In conclusion, we find that although the Jukun panegyrics performer may display skills similar to other performers across the nation in establishing connections between the audience and himself, he greatly distinguishes himself through exhuming the lore of his audience and region and through the provision of insights into the historical, social and cultural factors that might have shaped the evolution and sustenance of the Jukun panegyric, thus enriching the reader’s understanding of the traditions and identity of the Jukun people.
On the Name of an Obscure Musical Instrument: What was the Kabithakanthion?
Authors: Panegyres Konstantine 
Published: October 2023

Abstract
There is uncertainty about the form and meaning of the word καβιθακάνθιον, the name of a type of aulos instrument mentioned in a Byzantine Greek alchemical treatise. The problem can be resolved if the word is interpreted as a hybrid bilingual compound of Late Latin cauitas (‘hollow’) and Greek ἀκάνθιον (‘little thorn’), meaning ‘hollow little thorn’. Aulos instruments were thought to be ‘hollow’ owing to the internal cavity through which the performer blows in order to produce sound; and ‘little thorn’ may refer to the shape and size of the instrument, being a small slender pipe.
Physics-Constrained Deep Learning Postprocessing of Temperature and Humidity
Authors: Zanetta Francesco , Nerini Daniele , Beucler Tom , Liniger Mark A. 
Published: October 2023

Abstract
Weather forecasting centers currently rely on statistical postprocessing methods to minimize forecast error. This improves skill but can lead to predictions that violate physical principles or disregard dependencies between variables, which can be problematic for downstream applications and for the trustworthiness of postprocessing models, especially when they are based on new machine learning approaches. Building on recent advances in physics-informed machine learning, we propose to achieve physical consistency in deep learning–based postprocessing models by integrating meteorological expertise in the form of analytic equations. Applied to the postprocessing of surface weather in Switzerland, we find that constraining a neural network to enforce thermodynamic state equations yields physically consistent predictions of temperature and humidity without compromising performance. Our approach is especially advantageous when data are scarce, and our findings suggest that incorporating domain expertise into postprocessing models allows the optimization of weather forecast information while satisfying application-specific requirements.

Significance Statement
Postprocessing is a widely used approach to reduce forecast error using statistics, but it may lead to physical inconsistencies. This outcome can be problematic for trustworthiness and downstream applications. We present the first machine learning–based postprocessing method intentionally designed to strictly enforce physical laws. Our framework improves physical consistency without sacrificing performance and suggests that human expertise can be incorporated into postprocessing models via analytic equations.
The perceived social support, life events, and depressive features among patients with diabetes mellitus
Authors: Said Nizar B , Hayek Mohammed , Alsayed Aseel E 
Published: October 2023

Objective This study evaluated the relationship between life events, perceived social support, and depressive features among people with diabetes. Methods This study was a cross-sectional design using convenience sampling. Questionnaires were distributed to targeted patients in primary health care services in the Nablus district. Questionnaires used were The Holmes–Rahe Stress Inventory Scale, The Beck Depression Inventory, and The Multidimensional Scale of Perceived Social Support. Results About 120 diabetic patients participated in this study. Findings revealed that higher diabetes mellitus prevalence was among older ages (39.2% are 60 years or older). More than half of the participants were smokers. Regarding life events, 53.3% of the patients have a 50% chance of developing major breakdowns in the next two years. Depression was found to be normal among 32.5% of participants, while 22.5% were moderately depressed. More patients had a disagreement that they could find social support from their friends than their family members. Discussion People with diabetes are affected significantly by life events, depressive features, and perceived social support, hence, further attention is needed accompanied by frequent assessment for such factors for effective diabetes management.
Vote-Based Feature Selection Method for Stratigraphic Recognition in Tunnelling Process of Shield Machine
Authors: Yang Liman , Guo Xuze , Chen Jianfu , Wang Yixuan , Ma Huaixiang , Li Yunhua , Yang Zhiguo , Shi Yan 
Published: October 2023

AbstractShield machines are currently the main tool for underground tunnel construction. Due to the complexity and variability of the underground construction environment, it is necessary to accurately identify the ground in real-time during the tunnel construction process to match and adjust the tunnel parameters according to the geological conditions to ensure construction safety. Compared with the traditional method of stratum identification based on staged drilling sampling, the real-time stratum identification method based on construction data has the advantages of low cost and high precision. Due to the huge amount of sensor data of the ultra-large diameter mud-water balance shield machine, in order to balance the identification time and recognition accuracy of the formation, it is necessary to screen the multivariate data features collected by hundreds of sensors. In response to this problem, this paper proposes a voting-based feature extraction method (VFS), which integrates multiple feature extraction algorithms FSM, and the frequency of each feature in all feature extraction algorithms is the basis for voting. At the same time, in order to verify the wide applicability of the method, several commonly used classification models are used to train and test the obtained effective feature data, and the model accuracy and recognition time are used as evaluation indicators, and the classification with the best combination with VFS is obtained. The experimental results of shield machine data of 6 different geological structures show that the average accuracy of 13 features obtained by VFS combined with different classification algorithms is 91%; among them, the random forest model takes less time and has the highest recognition accuracy, reaching 93%, showing best compatibility with VFS. Therefore, the VFS algorithm proposed in this paper has high reliability and wide applicability for stratum identification in the process of tunnel construction, and can be matched with a variety of classifier algorithms. By combining 13 features selected from shield machine data features with random forest, the identification of the construction stratum environment of shield tunnels can be well realized, and further theoretical guidance for underground engineering construction can be provided.
Glial cell proteome using targeted quantitative methods for potential multi-diagnostic biomarkers
Authors: Kang Narae , Oh Hyun Jeong , Hong Ji Hye , Moon Hyo Eun , Kim Yona , Lee Hyeon-Jeong , Min Hophil , Park Hyeonji , Lee Sang Hun , Paek Sun Ha , Jin Jonghwa 
Published: October 2023

AbstractGlioblastoma is one of the most malignant primary brain cancer. Despite surgical resection with modern technology followed by chemo-radiation therapy with temozolomide, resistance to the treatment and recurrence is common due to its aggressive and infiltrating nature of the tumor with high proliferation index. The median survival time of the patients with glioblastomas is less than 15 months. Till now there has been no report of molecular target specific for glioblastomas. Early diagnosis and development of molecular target specific for glioblastomas are essential for longer survival of the patients with glioblastomas. Development of biomarkers specific for glioblastomas is most important for early diagnosis, estimation of the prognosis, and molecular target therapy of glioblastomas. To that end, in this study, we have conducted a comprehensive proteome study using primary cells and tissues from patients with glioblastoma. In the discovery stage, we have identified 7429 glioblastoma-specific proteins, where 476 proteins were quantitated using Tandem Mass Tag (TMT) method; 228 and 248 proteins showed up and down-regulated pattern, respectively. In the validation stage (20 selected target proteins), we developed quantitative targeted method (MRM: Multiple reaction monitoring) using stable isotope standards (SIS) peptide. In this study, five proteins (CCT3, PCMT1, TKT, TOMM34, UBA1) showed the significantly different protein levels (t-test: p value ≤ 0.05, AUC ≥ 0.7) between control and cancer groups and the result of multiplex assay using logistic regression showed the 5-marker panel showed better sensitivity (0.80 and 0.90), specificity (0.92 and 1.00), error rate (10 and 2%), and AUC value (0.94 and 0.98) than the best single marker (TOMM34) in primary cells and tissues, respectively. Although we acknowledge that the model requires further validation in a large sample size, the 5 protein marker panel can be used as baseline data for the discovery of novel biomarkers of the glioblastoma.
Arterial spin labeling (ASL-MRI) versus fluorodeoxyglucose-PET (FDG-PET) in diagnosing dementia: a systematic review and meta-analysis
Authors: Haidar Hiba , Majzoub Rania El , Hajeer Shorouk , Abbas Linda Abou 
Published: October 2023

Abstract
Background
Dementia is generally caused by neurodegenerative diseases affecting the brain, which leads to a progressive neurocognitive decline characterized by inability to perform major higher functioning tasks. Fluorodeoxyglucose-positron emission tomography (FDG-PET) scan is one of the main imaging tests performed for diagnostic purposes. However, with FDG-PET being quite expensive and not widely available, an attempt to find an alternative is set. Arterial-spin-labelling magnetic resonance imaging (ASL-MRI) is an increasingly investigated substitute to FDG-PET for the diagnosis of dementia. Thereby, the main purpose of this systematic review and meta-analysis is to compare the diagnostic ability of FDG-PET and ASL-MRI in detecting dementia.

Methods
PRISMA checklist for diagnostic test accuracy was employed in outlining this paper. A literature search was done using several search engines including PubMed, Core, and Cochrane. Two researchers (HH and SH) extracted the essential information from all included articles. Risk of bias was evaluated by the Quality Assessment of Diagnostic Accuracy Studies tool, version 2 (QUADAS-2). A qualitative analysis and summary of studies’ results were provided. In addition, a meta-analysis was executed based on the studies which involved sensitivity and specificity measures of diagnostic accuracy.

Results
Fourteen total studies were included in the given review. Qualitative analysis of the articles showed that nine studies demonstrated an overlap between metabolic and perfused brain maps as derived by FDG-PET and ASL-MRI respectively, while the remaining five studies registered significant differences across both modalities, with superiority to FDG-PET. As for the meta-analysis implemented, summary ROC-curve analysis revealed that FDG-PET performed better than ASL-MRI, with pooled sensitivity being significantly higher for FDG-PET.

Conclusions
Comparing the diagnostic value of FDG-PET and ASL-MRI, the results of this systematic review and meta-analysis indicate that FDG-PET still has an advantage over ASL-MRI. Such implication could be related to the technical differences relating to both modalities, with ASL-MRI having lower temporal resolution. It’s worth mentioning that specificity was rather quite similar among both modalities and some studies found an overridden metabolic and perfused images. These findings call for future research to focus their scope of investigation while exploring the diagnostic value of ASL-MRI.
Prevalence of dental caries in pregnant Colombian women and its associated factors
Authors: Velosa-Porras Juliana , Rodríguez Malagón Nelcy 
Published: October 2023

Abstract
Objective
To identify the prevalence of dental caries in pregnant women in the Colombian population and its association with the medical history and social determinants, based on data from the fourth National Oral Health Survey (ENSAB IV).

Materials and methods
A total of 1,047 pregnant women from different areas of Colombia were evaluated. A dental evaluation was performed using a flat oral mirror and blunt-tipped probe (World Health Organization, 2007). For diagnosis of the dental condition, the DMFT index was used. A negative binomial regression analysis was performed to evaluate the association between social determinants and the DMFT index.

Results
The results of this national study show a 59% prevalence of caries in this population. Regarding the experience of caries, 89.9% of pregnant women showed having had caries.

Conclusions
The results of this national study on pregnant women show a high prevalence of dental caries. The women’s level of education is an important factor associated with dental caries and filled teeth, so the role of oral health education and dental check-ups are important.

Clinical relevance
The findings of this study show the oral health situation of pregnant women, with a high prevalence of dental caries. This leads to the development and strengthening of oral health education strategies that empower pregnant women in their care. In addition, dental checkups during pregnancy should be implemented and reinforced to prevent and treat oral pathologies and thus prevent complications during this stage.
Association between oral contraceptives with lipid profile: results from Hoveyzeh cohort study (HCS)
Authors: Hashemi Seyed Jalal , Khezri Rozhan , Saki Nader , Nasehi Nahal , Hosseini Seyed Ahmad , Harizi Mahmood , Rahimi Zahra 
Published: October 2023

Abstract
Background
Oral contraceptives (OCs) affect lipid metabolism, which can cause hyperlipidemia, a risk factor for cardiovascular diseases. The study was designed to evaluate the possible changes in lipid profile due to using OCs.

Methods
A cross-sectional study was conducted from April 2016 to August 2018 among women from the baseline phase Hoveyzeh cohort study (HCS). Sociodemographic data, anthropometric measurements, physical activity, and biochemical blood tests were measured for every participant. Multiple logistic regression was used to adjust the potential confounders.

Results
Among 2272 participants, 1549 women were OC users, and 723 women were non-user OCs. The mean lipid profile levels were higher in OC users than in non-user OCs. Odds of abnormal Total cholesterol (TC) in OC users were significantly higher than those of non-users OCs [OR = 1.29 (95% CI;1.05 to 1.58)]. Also, the Odds of abnormal low-density lipoprotein (LDL) in OC users was 12% higher than in non-user OCs. However, no significant relationship between abnormal LDL with Oral Contraceptive Pills (OCPs) was observed.

Conclusions
The mean lipid profile was higher in OC users compared to non-user OCs. This finding highlights the need for public health strategies to prevent and detect hyperlipidemia in user OCs.
Methylglyoxal, a highly reactive dicarbonyl compound, as a threat for blood brain barrier integrity
Authors: Berends Eline , van Oostenbrugge Robert J , Foulquier Sébastien , Schalkwijk Casper G 
Published: October 2023

AbstractThe brain is a highly metabolically active organ requiring a large amount of glucose. Methylglyoxal (MGO), a by-product of glucose metabolism, is known to be involved in microvascular dysfunction and is associated with reduced cognitive function. Maintenance of the blood-brain barrier (BBB) is essential to maintain optimal brain function and a large amount of evidence indicates negative effects of MGO on BBB integrity. In this review, we summarized the current literature on the effect of MGO on the different cell types forming the BBB. BBB damage by MGO most likely occurs in brain endothelial cells and mural cells, while astrocytes are most resistant to MGO. Microglia on the other hand appear to be not directly influenced by MGO but rather produce MGO upon activation. Although there is clear evidence that MGO affects components of the BBB, the impact of MGO on the BBB as a multicellular system warrants further investigation. Diminishing MGO stress can potentially form the basis for new treatment strategies for maintaining optimal brain function.
CRISPR screening in hematology research: from bulk to single-cell level
Authors: Meyers Sarah , Demeyer Sofie , Cools Jan 
Published: October 2023

AbstractThe CRISPR genome editing technology has revolutionized the way gene function is studied. Genome editing can be achieved in single genes or for thousands of genes simultaneously in sensitive genetic screens. While conventional genetic screens are limited to bulk measurements of cell behavior, recent developments in single-cell technologies make it possible to combine CRISPR screening with single-cell profiling. In this way, cell behavior and gene expression can be monitored simultaneously, with the additional possibility of including data on chromatin accessibility and protein levels. Moreover, the availability of various Cas proteins leading to inactivation, activation, or other effects on gene function further broadens the scope of such screens. The integration of single-cell multi-omics approaches with CRISPR screening open the path to high-content information on the impact of genetic perturbations at single-cell resolution. Current limitations in cell throughput and data density need to be taken into consideration, but new technologies are rapidly evolving and are likely to easily overcome these limitations. In this review, we discuss the use of bulk CRISPR screening in hematology research, as well as the emergence of single-cell CRISPR screening and its added value to the field.