bluuebunny/crossref_metadata_2025_split huggingface dataset:
Elucidating the context for implementing nonpharmacologic care for neonatal opioid withdrawal syndrome: a qualitative study of perinatal nurses
Authors: Shuman Clayton J. , Wilson Roxanne , VanAntwerp Katherine , Morgan Mikayla , Weber Ashley 
Published: November 2021

Abstract
Background
Up to 95% of neonates exposed to opioids in utero experience neonatal opioid withdrawal syndrome at birth. Nonpharmacologic approaches (e.g., breastfeeding; rooming-in; skin-to-skin care) are evidence-based and should be implemented. These approaches, especially breastfeeding, rely on engagement of the neonates’ mothers to help deliver them. However, little is known about the structural and social dynamic context barriers and facilitators to implementing maternal-delivered nonpharmacologic care.

Methods
Using a qualitative descriptive design, perinatal nurses from a Midwest United States hospital family birthing center, neonatal intensive care unit, and inpatient pediatric unit were interviewed. These units were involved in caring for mothers and neonates affected by opioid use. Telephone interviews followed a semi-structured interview guide developed for this study, were audio-recorded, and lasted about 30–60 min. Interviews were transcribed verbatim and independently analyzed by five investigators using the constant comparative method. Themes were discussed until reaching consensus and subsequently mapped to a conceptual model adapted for this study.

Results
Twenty-one nurses participated in this study (family birth center, n = 9; neonatal intensive care, n = 6; pediatrics, n = 6). Analysis resulted in four major themes: 1) Lack of education and resources provided to staff and mothers; 2) Importance of interdisciplinary and intradisciplinary care coordination; 3) Flexibility in nurse staffing models for neonatal opioid withdrawal syndrome; and 4) Unit architecture and layout affects maternal involvement. Minor themes supported each of the four major themes. All themes mapped to the conceptual model.

Conclusions
This study provides a more comprehensive understanding of the barriers and facilitators affecting implementation of maternal involvement in nonpharmacologic care of newborns with neonatal opioid withdrawal syndrome. Future efforts implementing nonpharmacologic approaches must consider the context factors affecting implementation, including structural and social factors within the units, hospital, and broader community.
Spatial patterns and determinants of undernutrition among late-adolescent girls in Ethiopia by using Ethiopian demographic and health surveys, 2000, 2005, 2011 and 2016: a spatial and multilevel analysis
Authors: Derseh Nebiyu Mekonnen , Gelaye Kassahun Alemu , Muluneh Atalay Goshu 
Published: November 2021

Abstract
Background
Undernutrition among late-adolescent girls (15–19 years) in Ethiopia is the highest among Southern and Eastern African countries. However, the spatial variation of undernutrition as a national context is not well understood in Ethiopia. This study aimed at the spatial patterns and determinants of undernutrition among late-adolescent girls in Ethiopia.

Methods
Secondary data analysis was conducted from women’s data of four consecutive Ethiopian Demographic and Health Surveys (EDHS) from 2000 to 2016. A total of 12,056 late-adolescent girls were included in this study. The global spatial autocorrelation was assessed using the Global Moran’s I autocorrelation to evaluate the presence of geographical clustering and variability of undernutrition. SaTScan cluster analysis by using the Bernoulli model to detect most likely SaTScan cluster areas of significant high-rate and low-rate of undernutrition was explored. A Multilevel binary logistic regression model with cluster-level random effects was fitted to determine factors associated with undernutrition among late-adolescent girls in Ethiopia.

Results
Undernutrition was clustered nationally during each survey (Global Moran’s I = 0.009–0.045, Z-score = 5.55–27.24, p-value < 0.001). In the final model, individual and community level factors accounted for about 31.02% of the regional variations for undernutrition. The odds of undernutrition among 18–19 years of adolescent girls, was 57% (AOR = 0.43; 95% CI: (0.35–0.53) lower than those 15–17 years old. Late-adolescent girls with higher educational status were 4.40 times (AOR = 4.40; 95% CI: (1.64–11.76) more likely to be undernourished than those with no educational status. The odds of undernutrition among late-adolescent girls, with the occupation of sales, was 40% (AOR = 0.60; 95% CI: 0.43–0.84) lower than those with not working adolescents. The odds of undernutrition, among late-adolescent girls, having an unimproved latrine type, was 1.79 times (AOR = 1.79; 95% CI: 1.15–2.79) higher than those participants with improved latrine type. The odds of undernutrition among late-adolescent girls with rural residents was 2.33 times higher (AOR = 2.33; 95% CI: 1.29–4.22) than those with urban residents.

Conclusion
Undernutrition among late-adolescent girls was spatially clustered in Ethiopia. The local significant clusters with high prevalence of undernutrition was observed in Northern and Eastern Ethiopia. Those regions with a high prevalence of undernutrition should design interventions to combat undernutrition.
Bone metastasis from noninvasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP); a case report
Authors: Fakhar Yasaman , Khooei Alireza , Aghaee Atena , Mohammadzadeh Kosari Hadis , Wartofsky Leonard , Zakavi Seyed Rasoul 
Published: November 2021

Abstract
Background
The term non-invasive follicular thyroid neoplasm with papillary-like nuclear features (NIFTP) was recently proposed as a non-malignant thyroid lesion with indolent behavior that does not require post-operative radio-iodine treatment. We are reporting a case of NIFTP with bone metastasis that is the second case reported so far.

Case presentation
We describe a 38-year-old woman who presented with an indeterminate thyroid nodule and underwent total thyroidectomy with the finding of NIFTP on careful pathologic examination. However, her initial follow-up evaluation revealed a serum thyroglobulin level of > 300 ng/ml and a diagnostic whole body 131I scan demonstrated a focus of increased uptake in the left hemipelvis, confirmed on CT scan to be a lytic lesion in the left iliac bone. She was treated with 7.4GBq (200 mCi) of 131I and her follow-up 1 year later revealed an undetectable serum thyroglobulin and a negative whole body 131I scan with no visible uptake in the iliac bone indicating an excellent response.

Conclusion
This case presentation reminds us to be alert to the rare occurrence of distant metastasis in NIFTP and the need for a case by case analysis and continuing post-operative follow-up for detection of residual or recurrent disease.
Learning from low-rank multimodal representations for predicting disease-drug associations
Authors: Hu Pengwei , Huang Yu-an , Mei Jing , Leung Henry , Chen Zhan-heng , Kuang Ze-min , You Zhu-hong , Hu Lun 
Published: November 2021

Abstract
Background
Disease-drug associations provide essential information for drug discovery and disease treatment. Many disease-drug associations remain unobserved or unknown, and trials to confirm these associations are time-consuming and expensive. To better understand and explore these valuable associations, it would be useful to develop computational methods for predicting unobserved disease-drug associations. With the advent of various datasets describing diseases and drugs, it has become more feasible to build a model describing the potential correlation between disease and drugs.

Results
In this work, we propose a new prediction method, called LMFDA, which works in several stages. First, it studies the drug chemical structure, disease MeSH descriptors, disease-related phenotypic terms, and drug-drug interactions. On this basis, similarity networks of different sources are constructed to enrich the representation of drugs and diseases. Based on the fused disease similarity network and drug similarity network, LMFDA calculated the association score of each pair of diseases and drugs in the database. This method achieves good performance on Fdataset and Cdataset, AUROCs were 91.6% and 92.1% respectively, higher than many of the existing computational models.

Conclusions
The novelty of LMFDA lies in the introduction of multimodal fusion using low-rank tensors to fuse multiple similar networks and combine matrix complement technology to predict potential association. We have demonstrated that LMFDA can display excellent network integration ability for accurate disease-drug association inferring and achieve substantial improvement over the advanced approach. Overall, experimental results on two real-world networks dataset demonstrate that LMFDA able to delivers an excellent detecting performance. Results also suggest that perfecting similar networks with as much domain knowledge as possible is a promising direction for drug repositioning.
Navigating medical assistance in dying from Bill C-14 to Bill C-7: a qualitative study
Authors: Pesut Barbara , Thorne Sally , Wright David Kenneth , Schiller Catharine , Huggins Madison , Puurveen Gloria , Chambaere Kenneth 
Published: November 2021

Abstract
Background
Even as healthcare providers and systems were settling into the processes required for Medical Assistance in Dying (MAID) under Bill C-14, new legislation was introduced (Bill C-7) that extended assisted death to persons whose natural death is not reasonably foreseeable. The purpose of this paper is to describe the experiences of nurses and nurse practitioners with the implementation and ongoing development of this transition.

Methods
This qualitative longitudinal descriptive study gathered data through semi-structured telephone interviews with nurses from across Canada; cross sectional data from 2020 to 2021 is reported here. The study received ethical approval and all participants provided written consent.

Findings
Participants included nurses (n = 34) and nurse practitioners (n = 16) with significant experience with MAID. Participants described how MAID had transitioned from a new, secretive, and anxiety-producing procedure to one that was increasingly visible and normalized, although this normalization did not necessarily mitigate the emotional impact. MAID was becoming more accessible, and participants were learning to trust the process. However, the work was becoming increasingly complex, labour intensive, and often poorly remunerated. Although many participants described a degree of integration between MAID and palliative care services, there remained ongoing tensions around equitable access to both. Participants described an evolving gestalt of determining persons’ eligibility for MAID that required a high degree of clinical judgement. Deeming someone ineligible was intensely stressful for all involved and so participants had learned to be resourceful in avoiding this possibility. The required 10-day waiting period was difficult emotionally, particularly if persons worried about losing capacity to give final consent. The implementation of C-7 was perceived to be particularly challenging due to the nature of the population that would seek MAID and the resultant complexity of trying to address the origins of their suffering within a resource-strapped system.

Conclusions
Significant social and system calibration must occur to accommodate assisted death as an end-of-life option. The transition to offering MAID for those whose natural death is not reasonably foreseeable will require intensive navigation of a sometimes siloed and inaccessible system. High quality MAID care should be both relational and dialogical and those who provide such care require expert communication skills and knowledge of the healthcare system.
Pathogens with potential impact on reproduction in captive and free-ranging European bison (Bison bonasus) in Poland - a serological survey
Authors: Didkowska Anna , Klich Daniel , Hapanowicz Anna , Orłowska Blanka , Gałązka Marta , Rzewuska Magdalena , Olech Wanda , Anusz Krzysztof 
Published: November 2021

Abstract
Background
The European bison is an endangered species, and as such it is extremely important to monitor herds for pathogens which can lead to reproductive failure. The aim of the present study was to determine the current prevalence of antibodies to pathogens known to potentially influence reproduction in European bison. Serum samples from 183 bison, originating from different parts of Poland, were tested using commercial ELISA tests for antibodies to Chlamydia spp., Coxiella burnetti, Leptospira interrogans, Neospora caninum and Toxoplasma gondii; the findings were compared between captive and main free-ranging herds, and with regard to the influence of demographic factors such as age and sex. The prevalence of seropositivity was also checked with regard to location and the animal species sharing it.

Results
Chlamydia spp. antibodies were present in 48 out of 130 (36.9%) tested samples. Coxiella burnetii was found in one sample out of 178 (0.58%). N. caninum in 36 out of 172 (20.9%) and T. gondii in 23 out of 172 (13.4%). No sample was positive for leptospirosis. Neither sex nor age appeared to have a significant effect on the occurrence of antibodies to the identified species. The prevalence of Chlamydia spp. in the samples varied significantly according to location; however, similar frequency ranges were observed between free ranging and captive herds. In contrast, antibodies to N. caninum were more common in free-ranging herds than captive herds, with the highest frequency observed in the Bieszczady Mountains.

Conclusions
Chlamydia spp., N. caninum and T. gondii might have a similar impact on the reproductive potential of European bison as they have on cattle. The high occurrence of antibodies to N. caninum in bison from the Bieszczady Mountains may be associated with the relatively high density of the wolf population in the area.
RHBDF2 gene functions are correlated to facilitated renal clear cell carcinoma progression
Authors: Wang Lei , Liu Xiu-Xiu , Yang Yu-Meng , Wang Yan , Song Yuan-Yuan , Gao Shan , Li Lu-Yuan , Zhang Zhi-Song 
Published: November 2021

Abstract
Background
The rhomboids are a family of multi-transmembrane proteins, many of which have been implicated in facilitating tumor progression. Little is yet known, however, about rhomboid-associated biomarkers in cancers. An analysis of such biomarkers could yield important insights into the role of the rhomboids in cancer pathology.

Methods
In this study, we carried out the univariate Cox regression analysis and compared gene expression patterns of several rhomboid genes in 30 types of cancers by using The Cancer Genome Atlas (TCGA) database and the methods delineated in Gene Expression Profiling Interactive Analysis (GEPIA). We then used datasets GSE47032, GSE126964, GSE68417 and 75 paired pathological specimens to verify the influences of the rhomboid genes in cancer progression. Moreover, we carried out Weighted Gene Correlation Network Analysis (WGCNA) to investigate gene-related functions and we exploited potential correlations between rhomboid genes expression and immune cell infiltration in cancer tissues. Furthermore, we constructed gene-knockdown cancer cell lines to investigate rhomboid gene functions.

Results
We find that kidney renal clear cell carcinoma (KIRC) disease progression is affected by fluctuations in the expression of a number of the rhomboid family of genes and, more specifically, high levels of RHBDF2 gene expression are a good indicator of poor prognosis of the disease, as patients with high RHBDF2 expression levels exhibit less favorable survival rates compared to those with low RHBDF2 levels. Silencing of the RHBDF2 gene in KIRC cell lines leads to significantly diminished cell proliferation and migration; this is in good agreement with the identification of an enhanced presence of a number of cell growth and migration promoting signaling molecules in KIRC tumors. We found that, although high level of RHBDF2 correlated with increased infiltration of lymphocytes in cancer tissues, artificially overexpressed RHBDF2 led to an inhibition of the activity of the infiltrated immune cells through sustaining PD-L1 protein level. Furthermore, we show that RHBDF2 related cell migration and PD-L1 regulation were potentially mediated by EGFR signaling pathway.

Conclusions
RHBDF2 gene functions are correlated to facilitated renal clear cell carcinoma progression and may serve as a critical prognostic biomarker for the disease.
Development and validation of ferroptosis-related lncRNAs prognosis signatures in kidney renal clear cell carcinoma
Authors: Xing Xiao-Liang , Yao Zhi-Yong , Ou Jialan , Xing Chaoqun , Li Feng 
Published: November 2021

Abstract
Background
Ferroptosis is a recently recognised new type of cell death which may be a potential target for cancer therapy. In the present study, we aimed to screen ferroptosis-related differentially expressed long non-coding RNAs as biomarkers to predict the outcome of kidney renal clear cell carcinoma.

Methods
RNAseq count data and corresponding clinical information were obtained from the Cancer Genome Atlas database. Lists of ferroptosis-related genes and long non-coding RNAs were obtained from the FerrDb and GENCODE databases, respectively. The candidate prognostic signatures were screened by Cox regression analyses and least absolute shrinkage and selection operator analyses.

Results
Three ferroptosis-related long non-coding RNAs (DUXAP8, LINC02609, and LUCAT1) were significantly correlated with the overall survival of kidney renal clear cell carcinoma independently. Kidney renal clear cell carcinoma patients with high-risk values displayed worse OS. Meanwhile, the expression of these three ferroptosis-related long non-coding RNAs and their risk scores were significantly correlated with clinicopathological features. Principal component analyses showed that patients with kidney renal clear cell carcinoma have differential risk values were well distinguished by the three ferroptosis-related long non-coding RNAs.

Conclusions
The present study suggests that the risk assessment model constructed by these three ferroptosis-related long non-coding RNAs could accurately predict the outcome of kidney renal clear cell carcinoma. We also provide a novel perspective for cancer prognosis screening.
Model constructions of chemosensitivity and prognosis of high grade serous ovarian cancer based on evaluation of immune microenvironment and immune response
Authors: Zhang Han , Wu Yijun , Li Hao , Sun Liping , Meng Xiangkai 
Published: November 2021

Abstract
Background
The prognosis of high grade serous ovarian cancer (HGSOC) patients is closely related to the immune microenvironment and immune response. Based on this, the purpose of this study was to construct a model to predict chemosensitivity and prognosis, and provide novel biomarkers for immunotherapy and prognosis evaluation of HGSOC.

Methods
GSE40595 (38 samples), GSE18520 (63 samples), GSE26712 (195 samples), TCGA (321 samples) and GTEx (88 samples) were integrated to screen differential expressed genes (DEGs) of HGSOC. The prognosis related DEGs (DEPGs) were screened through overall survival analysis. The DEGs-encoded protein–protein interaction network was constructed and hub genes of DEPGs (DEPHGs) were generated by STRING. Immune characteristics of the samples were judged by ssGSEA, ESTIMATE and CYBERSORT. TIMER was used to analyze the relationship between DEPHGs and tumor-infiltrating immunocytes, as well as the immune checkpoint genes, finally immune-related DEPHGs (IDEPHGs) were determined, and whose expression in 12 pairs of HGSOC tissues and tumor-adjacent tissues were analyzed by histological verification. Furthermore, the chemosensitivity genes in IDEPHGs were screened according to GSE15622 (n = 65). Finally, two prediction models of paclitaxel sensitivity score (PTX score) and carboplatin sensitivity score (CBP score) were constructed by lasso algorithm. The area under curve was calculated to estimate the accuracy of candidate gene models in evaluating chemotherapy sensitivity.

Results
491 DEGs were screened and 37 DEGs were identified as DEPGs, and 11 DEPHGs were further identified. Among them, CXCL13, IDO1, PI3, SPP1 and TRIM22 were screened as IDEPHGs and verified in the human tissues. Further analysis showed that IDO1, PI3 and TRIM22 could independently affect the chemotherapy sensitivity of HGSOC patients. The PTX score was significantly better than TRIM22, PI3, SPP1, IDO1 and CXCL13 in predicting paclitaxel sensitivity, so was CBP score in predicting carboplatin sensitivity. What’s more, both of the HGSOC patients with high PTX score or high CBP score had longer survival time.

Conclusions
Five IDEPHGs identified through comprehensive bioinformatics analysis were closely related with the prognosis, immune microenvironment and chemotherapy sensitivity of HGSOC. Two prediction models based on IDEPHGs might have potential application of chemotherapy sensitivity and prognosis for patients with HGSOC.
Mesenchymal stem cells in cancer progression and anticancer therapeutic resistance
Authors: Xuan Xiuyun , Tian Chunxia , Zhao Mengjie , Sun Yanhong , Huang Changzheng 
Published: November 2021

AbstractIncreasing evidence indicates that the tumor microenvironment appears to play an increasingly important role in cancer progression and therapeutic resistance. Several types of cells within the tumor stroma had distinct impacts on cancer progression, either promoting or inhibiting cancer cell growth. Mesenchymal stem cells (MSCs) are a distinct type of cells that is linked to tumor development. MSCs are recognized for homing to tumor locations and promoting or inhibiting cancer cell proliferation, angiogenesis and metastasis. Moreover, emerging studies suggests that MSCs are also involved in therapeutic resistance. In this review, we analyzed the existing researches and elaborate on the functions of MSCs in cancer progression and anticancer therapeutic resistance, demonstrating that MSCs may be a viable cancer therapeutic target.