bluuebunny/crossref_metadata_2025_split huggingface dataset:
Abstract C126: Exploring racial disparities on the association between allostatic load and cancer mortality: A retrospective cohort analysis of NHANES, 1988 through 2015
Authors: Andrzejak Sydney E. , Moore Justin X. , Bevel Malcom , Jones Samantha R. , Tingen Martha S. 
Published: January 2023

Abstract
Background: Several studies suggest that chronic stress may be associated with increased risk of cancer mortality. Our study sought to determine the association between allostatic load (AL), a measure of cumulative stress, and risk of cancer death; and whether these associations varied by race/ethnicity and age. Methods: We performed retrospective analysis using National Health and Nutrition Examination Survey (NHANES) years 1988 through 2010 linked with the National Death Index through December 31, 2015. We fit Fine & Gray Cox proportional hazards models to estimate sub-distribution hazard rates (sHRs) of cancer death between high and low AL status (adjusted for age, sociodemographics, and comorbidities). Results: In fully adjusted models, high AL was associated with a 23% increased risk of cancer death (adjusted (sHR): 1.23, 95% CI: 1.10-1.38) among all participants and a 24% increased risk of cancer death (sHR :1.24, 95% CI: 1.07-1.44) among Non-Hispanic Whites (NH-White). When further stratified by age (participants aged &lt;40 years), high AL was associated with a 74% increased risk (sHR: 1.74, 95% CI: 1.28 – 2.37) among all participants; a 2-fold increased risk (sHR: 2.02, 95% CI: 1.05 – 3.87) among NH-Whites; an 88% (sHR: 1.88, 95% CI: 1.09 – 3.23) increased risk among Non-Hispanic Blacks (NH-Black); and a 48% increased risk among Hispanics (sHR: 1.48, 95% CI: 0.89 – 2.45). Conclusions: Overall, when stratified by race, the risk of death attributed to cancer remained significant, however among NH-Blacks and Hispanics this association was slightly attenuated. Impact: High AL is associated with increased risk of overall cancer death, and future studies should delineate the association between AL and cancer-specific mortality to better understand the causal mechanisms between cumulative stress and cancer.
Citation Format: Sydney E. Andrzejak, Justin X. Moore, Malcom Bevel, Samantha R. Jones, Martha S. Tingen. Exploring racial disparities on the association between allostatic load and cancer mortality: A retrospective cohort analysis of NHANES, 1988 through 2015 [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr C126.
Abstract IA002: How patient advocates can make a difference in their research advocacy efforts and contributions and why it's important
Authors: Johnson Wenora Y. 
Published: January 2023

Abstract
Knowledge about cancer research has driven me to advocate on behalf of myself and others who need to know about their cancer risk, hereditary pre-disposition, prevention and survivorship. Understanding how Patient Advocates can make a difference is extremely important and valuable to research.
Citation Format: Wenora Y. Johnson. How patient advocates can make a difference in their research advocacy efforts and contributions and why it's important [abstract]. In: Proceedings of the 15th AACR Conference on the Science of Cancer Health Disparities in Racial/Ethnic Minorities and the Medically Underserved; 2022 Sep 16-19; Philadelphia, PA. Philadelphia (PA): AACR; Cancer Epidemiol Biomarkers Prev 2022;31(1 Suppl):Abstract nr IA002.
Reshaping Food Systems to improve Nutrition and Health in the Eastern Mediterranean Region
Authors: Al-Jawaldeh Ayoub , Meyer Alexa 
Published: January 2023

This detailed and comprehensive study examines nutrition and health in the World Health Organization (WHO) Eastern Mediterranean Region, presenting the six game-changing food systems actions proposed by the WHO and the progress of their implementation in the region.
The WHO Eastern Mediterranean Region is a particularly complex place to study: an area of economic contrasts with changing dietary patterns and stark differences between high levels of malnutrition and a prevalence of overweight and obesity. As a result, actions to improve the nutritional situation of the population are urgently sought. The strategies explored in this book offer a unique opportunity to change food systems all over the world, addressing aspects including sustainable food production, the impact of marketing and labelling on behaviour, and the effect of global events such as climate change, war and the COVID-19 pandemic.
Reshaping Food Systems is an essential read at a time when malnutrition in all its forms, including undernourishment, micronutrient deficiencies and overweight and obesity, pose a serious threat to global health, and is of particular interest for policymakers working in nutrition and public health.
Water vapor transmission and electromagnetic shielding characteristics of stainless steel/viscose blended yarn woven fabrics
Authors: Rathour Rochak , Krishnasamy Jagatheesan , Das Apurba , Alagirusamy R 
Published: January 2023

In this study, stainless steel/viscose blended yarn was prepared and different structured woven fabrics were prepared for studying the moisture transmission and electromagnetic shielding behaviour. By doubling viscose spun yarn with SS filament yarn, the SS/viscose blended yarn was prepared. The woven fabrics were made in a sample loom using viscose yarn and SS/viscose blended yarn. By changing the metal content, thread density and conductive fibre proportions at different levels, the developed fabrics were analyzed for maximum shielding effectiveness in the frequency of 300 kHz to 1.5 GHz. The fabric having conductive threads in warp and weft directions showed larger shielding effectiveness (SE) compared to fabric having conductive threads in one direction. The increase in weft density, proportions of conductive threads (in weft direction) and metal content increases the shielding level of fabric. The highest SE of 56 dB was observed for plain woven fabric compared to 3/1 twill, 2/2 twill and 2/2 basket fabrics in the frequency of 700 MHz. The influence of environmental factors such as relative humidity and pH on shielding behaviour of fabrics were also studied. As the relative humidity was increased, the SE was also increased. The fabric treated with acidic (or) basic condition exhibited better SE than the fabric in neutral condition. Similarly, air permeability and water vapour transmission characteristics of the developed conductive fabrics were also analyzed. The air permeability of the fabric was higher when the metal content in the fabric was low. The fabric having more floats showed higher air permeability compared to fabrics with less floats. Similarly, the water vapour transmission rate was also high for long float fabrics. The developed conductive fabrics could be used as wall covering and personal protective clothing in defense industry.
Using transfer learning and dimensionality reduction techniques to improve generalisability of machine-learning predictions of mosquito ages from mid-infrared spectra
Authors: Mwanga Emmanuel P. , Siria Doreen J. , Mitton Joshua , Mshani Issa H. , González-Jiménez Mario , Selvaraj Prashanth , Wynne Klaas , Baldini Francesco , Okumu Fredros O. , Babayan Simon A. 
Published: January 2023

Abstract
Background
Old mosquitoes are more likely to transmit malaria than young ones. Therefore, accurate prediction of mosquito population age can drastically improve the evaluation of mosquito-targeted interventions. However, standard methods for age-grading mosquitoes are laborious and costly. We have shown that Mid-infrared spectroscopy (MIRS) can be used to detect age-specific patterns in mosquito cuticles and thus can be used to train age-grading machine learning models. However, these models tend to transfer poorly across populations. Here, we investigate whether applying dimensionality reduction and transfer learning to MIRS data can improve the transferability of MIRS-based predictions for mosquito ages.

Methods
We reared adults of the malaria vector Anopheles arabiensis in two insectaries. The heads and thoraces of female mosquitoes were scanned using an attenuated total reflection-Fourier transform infrared spectrometer, which were grouped into two different age classes. The dimensionality of the spectra data was reduced using unsupervised principal component analysis or t-distributed stochastic neighbour embedding, and then used to train deep learning and standard machine learning classifiers. Transfer learning was also evaluated to improve transferability of the models when predicting mosquito age classes from new populations.

Results
Model accuracies for predicting the age of mosquitoes from the same population as the training samples reached 99% for deep learning and 92% for standard machine learning. However, these models did not generalise to a different population, achieving only 46% and 48% accuracy for deep learning and standard machine learning, respectively. Dimensionality reduction did not improve model generalizability but reduced computational time. Transfer learning by updating pre-trained models with 2% of mosquitoes from the alternate population improved performance to ~ 98% accuracy for predicting mosquito age classes in the alternative population.

Conclusion
Combining dimensionality reduction and transfer learning can reduce computational costs and improve the transferability of both deep learning and standard machine learning models for predicting the age of mosquitoes. Future studies should investigate the optimal quantities and diversity of training data necessary for transfer learning and the implications for broader generalisability to unseen datasets.
DM-MOGA: a multi-objective optimization genetic algorithm for identifying disease modules of non-small cell lung cancer
Authors: Shang Junliang , Zhu Xuhui , Sun Yan , Li Feng , Kong Xiangzhen , Liu Jin-Xing 
Published: January 2023

AbstractBackgroundConstructing molecular interaction networks from microarray data and then identifying disease module biomarkers can provide insight into the underlying pathogenic mechanisms of non-small cell lung cancer. A promising approach for identifying disease modules in the network is community detection.ResultsIn order to identify disease modules from gene co-expression networks, a community detection method is proposed based on multi-objective optimization genetic algorithm with decomposition. The method is named DM-MOGA and possesses two highlights. First, the boundary correction strategy is designed for the modules obtained in the process of local module detection and pre-simplification. Second, during the evolution, we introduce Davies–Bouldin index and clustering coefficient as fitness functions which are improved and migrated to weighted networks. In order to identify modules that are more relevant to diseases, the above strategies are designed to consider the network topology of genes and the strength of connections with other genes at the same time. Experimental results of different gene expression datasets of non-small cell lung cancer demonstrate that the core modules obtained by DM-MOGA are more effective than those obtained by several other advanced module identification methods.ConclusionsThe proposed method identifies disease-relevant modules by optimizing two novel fitness functions to simultaneously consider the local topology of each gene and its connection strength with other genes. The association of the identified core modules with lung cancer has been confirmed by pathway and gene ontology enrichment analysis.
Genetic architecture of fresh-market tomato yield
Authors: Bhandari Prashant , Kim Juhee , Lee Tong Geon 
Published: January 2023

AbstractBackgroundThe fresh-market tomato (Solanum lycopersicum) is bred for direct consumption and is selected for a high yield of large fruits. To understand the genetic variations (distinct types of DNA sequence polymorphism) that influence the yield, we collected the phenotypic variations in the yields of total fruit, extra-large-sized fruit, small-sized fruit, or red-colored fruit from 68 core inbred contemporary U.S. fresh-market tomatoes for three consecutive years and the genomic information in 8,289,741 single nucleotide polymorphism (SNP) positions from the whole-genome resequencing of these tomatoes.ResultsGenome-wide association (GWA) mapping using the SNP data with or without SNP filtering steps using the regularization methods, validated with quantitative trait loci (QTL) linkage mapping, identified 18 significant association signals for traits evaluated. Among them, 10 of which were not located within genomic regions previously identified as being associated with fruit size/shape. When mapping-driven association signals [558 SNPs associated with 28 yield (component) traits] were used to calculate genomic estimated breeding values (GEBVs) of evaluated traits, the prediction accuracies of the extra-large-sized fruit and small-sized fruit yields were higher than those of the total and red-colored fruit yields, as we tested the generated breeding values in inbred tomatoes and F2populations. Improved accuracy in GEBV calculation of evaluated traits was achieved by using 364 SNPs identified using the regularization methods.ConclusionsTogether, these results provide an understanding of the genetic variations underlying the heritable phenotypic variability in yield in contemporary tomato breeding and the information necessary for improving such economically important and complex quantitative trait through breeding.
Electrophysiology lab efficiency comparison between cryoballoon and point-by-point radiofrequency ablation: a German sub-analysis of the FREEZE Cohort study
Authors: Metzner Andreas , Straube Florian , Tilz Roland R. , Kuniss Malte , Noelker Georg , Tebbenjohanns Juergen , Andresen Dietrich , Wieneke Heinrich , Stellbrink Christoph , Franke Jennifer , Dorwarth Uwe , Carion Phuong Lien , Holbrook Reece , Hochadel Matthias , Senges Jochen , Hoffmann Ellen , Kuck Karl-Heinz ,   for the FREEZE Cohort Study Investigators, Wu L. Q. , Garcia-Alberola A. , Massa T. , Sabin G. , Franke A. , Souza J. J. , Stanley A. , Spitzer S. G. , Willems S. , Dierk T. , Chun K. R. J. , Borchard R. , Seidl K. H. , Zahn R. , Groschup G. , Obel I. W. P. , Brachmann J. , Gerds-Li J. H. , Gopal R. R. , Schrickel J. , Lewalter T. , Stanley A. , Moshage W. , Eckardt L. , Jung W. , Kremer P. , Lubinski A. , Schumacher B. , Lickfett L. , Münzel T. , Steinwender C. , Efremidis M. , Deneke T. , Nguyen D. Q. 
Published: January 2023

AbstractBackgroundPulmonary vein isolation (PVI) is recommended to treat paroxysmal and persistent atrial fibrillation (AF). This analysis aimed to assess the hospital efficiency of single-shot cryoballoon ablation (CBA) and point-by-point radiofrequency ablation (RFA).MethodsThe discrete event simulation used PVI procedure times from the FREEZE Cohort study to establish the electrophysiology (EP) lab occupancy time. 1000 EP lab days were simulated according to an illustrative German hospital, including 3 PVI cases per day using CBA at one site and RFA at the other.ResultsThe analysis included 1560 CBA patients and 1344 RFA patients from the FREEZE Cohort. Some baseline patients’ characteristics were different between groups (age, AF type, and some concomitant diseases), without being statistically associated to ablation procedure time. Mean procedure time was 122.2 ± 39.4 min for CBA and 160.3 ± 53.5 min for RFA (p < 0.0001). RFA was associated with a more than five-fold increase of cumulative overtime compared to CBA over the simulated period (1285 h with RFA and 253 h with CBA). 70.7% of RFA lab days included overtime versus 25.7% for CBA. CBA was associated with more days with an additional hour at the end of the EP lab shift compared to RFA (47.8% vs 11.5% days with one hour left, respectively).ConclusionCBA is faster and more predictable than point-by-point RFA, and enables improvements in EP lab efficiency, including: fewer cumulative overtime hours, more days where overtime is avoided and more days with remaining time for the staff or for any EP lab usage.Clinical trial registrationNCT01360008 (first registration 25/05/2011).
Exploring cultural determinants to be integrated into preterm infant care in the neonatal intensive care unit: an integrative literature review
Authors: Nyaloko Madimetja , Lubbe Welma , Moloko-Phiri Salaminah S. , Shopo Khumoetsile D. 
Published: January 2023

Abstract
Background
Cultural practices are an integral part of childrearing and remain a significant aspect for healthcare professionals to ensure culturally sensitive care, particularly in the neonatal intensive care unit.

Objective
To synthesise literature on the cultural determinants that can be integrated into care of preterm infants admitted into the neonatal intensive care unit.

Methods
The current review followed the integrative literature review steps proposed by Lubbe and colleagues. The registration of the review protocol was in PROSPERO. There was a literature search conducted in the EBSCOhost, PubMed, ScienceDirect and Scopus databases using the search string developed in collaboration with the librarian. Three reviewers employed a three-step screening strategy to screen the articles published in English between 2011 and 2021 that focused on culturally sensitive care. The Johns Hopkins Nursing Evidence-Based Practice Evidence critical appraisal toolkit assessed the methodological quality of the articles included at the full-text screening level.

Results
There were 141 articles retrieved, and 20 included on the full-text screening level; the exclusion of one article was due to a low critical appraisal grade. Four topical themes emerged from 19 articles: spiritual care practices, intragenerational infant-rearing practices, infant physical care practices, and combining treatment practices.

Conclusion
Overall, the findings indicated that parental cultural beliefs and practices mostly influenced infant-rearing practices, emphasising the significance of integrating cultural practices when rendering healthcare services. The recommendation is that healthcare professionals understand various cultural determinants, mainly those specific to the community they serve, to provide culturally sensitive care.
The Fast Cognitive Evaluation (FaCE): a screening tool to detect cognitive impairment in patients with cancer
Authors: Baghdadli Amel , Arcuri Giovanni G. , Green Clarence G. , Gauthier Lynn R. , Gagnon Pierre , Gagnon Bruno 
Published: January 2023

AbstractCancer-related cognitive impairment (CRCI) is one of the most concerning conditions experienced by patients living with cancer and has a major impact on their quality of life. Available cognitive assessment tools are too time consuming for day-to-day clinical setting assessments. Importantly, although shorter, screening tools such as the Montreal Cognitive Assessment or the Mini-Mental State Evaluation have demonstrated a ceiling effect in persons with cancer, and thus fail to detect subtle cognitive changes expected in patients with CRCI. This study addresses this lack of cognitive screening tools by developing a novel tool, the Fast Cognitive Evaluation (FaCE).A population of 245 patients with 11 types of cancer at different illness and treatment time-points was enrolled for the analysis. FaCE was developed using Rasch Measurement Theory, a model that establishes the conditions for a measurement tool to be considered a rating scale.FaCE shows excellent psychometric properties. The population size was large enough to test the set of items (item-reliability-index=0.96). Person-reliability (0.65) and person-separation (1.37) indexes indicate excellent internal consistency. FaCE’s scale is accurate (reliable) with high discriminant ability between cognitive levels. Within the average testing time of five minutes, FaCE assesses the main cognitive domains affected in CRCI.FaCE is a rapid, reliable, and sensitive tool for detecting even minimal cognitive changes over time. This can contribute to early and appropriate interventions for better quality of life in patients with CRCI. In addition, FaCE could be used as a measurement tool in research exploring cognitive disorders in cancer survivors.
The association between reattempted suicide and incoming calls to the brief contact intervention service, VigilanS: a study of the clinical profile of callers
Authors: Rusé Jeanne , Clenet Adeline , Vaiva Guillaume , Debien Christophe , Arbus Christophe , Salles Juliette 
Published: January 2023

Abstract
Background
Suicide is a major health problem globally. As attempted suicide is a major risk factor for suicide, specific prevention strategies have been designed for use thereafter. An example is the brief contact intervention (BCI). In this regard, France employs a composite BCI, VigilanS, which utilizes three types of contact: phone calls, postcards and a ‘who to contact in a crisis’ card. Previous studies have found that this system is effective at preventing suicide. Nevertheless, VigilanS was not effective in the same way for all the patients included. This observation raises the question of specific adaptation during follow-up for populations that were less receptive to the service. In consideration of this issue, we identified one study which found that incoming calls to the service were linked with a higher risk of suicide reattempts. However, this study did not document the profiles of the patients who made these calls. Better understanding of why this population is more at risk is important in terms of identifying factors that could be targeted to improve follow-up. This research therefore aims to bring together such data.

Methods
We performed a retrospective analysis of 579 patients referred to VigilanS by Toulouse University Hospital (France). We examined the sociodemographics, clinical characteristics, and follow-ups in place and compared the patients who made incoming calls to the service versus those who did not. Subsequently, we conducted a regression analysis using the significantly associated element of patients calling VigilanS. Then, in order to better understand this association, we analyzed the factors, including such calls, that were linked to the risk of suicide reattempts.

Results
We found that 22% of the patients in our sample called the VigilanS service. These individuals: were older, at 41.4 years versus 37.9 years for the non-callers; were more likely to have a borderline personality disorder (BPD) diagnosis (28.9% versus 19.3%); and had a history of suicide attempts (71.9% versus 54.6%). Our analysis confirmed that incoming calls to VigilanS (OR = 2.9) were associated with reattempted suicide, as were BPD (OR = 1.8) and a history of suicide attempts (OR = 1.7).

Conclusion
There was a high risk that the patients calling VigilanS would make another suicide attempt. However, this association was present regardless of the clinical profile. We postulate that this link between incoming calls and reattempted suicide may arise because this form of contact is, in fact, a way in which patients signal that a further attempt will be made.