bluuebunny/crossref_metadata_2025_split huggingface dataset:
Associations and Predictive Pathways Between Shared Governance, Autonomy, Magnet Status, Nurse-Sensitive Indicators, and Nurse Satisfaction
Authors: McGinnis Juli , Dee Vivien , Rondinelli June , Li Hong 
Published: September 2023

Background:
Evidence is limited to the effects of shared governance (SG) and autonomy on nurse-sensitive indicators (NSIs).

Purpose:
To explore the effects of SG, autonomy, and Magnet status on nurse and patient outcomes.

Methods:
A cross-sectional survey study was conducted using a convenience sample of 404 nurses from 4 hospitals. Descriptive analyses of variance (ANOVAs), and path analysis were conducted to identify hypothesized associations and predictive pathways among study variables.

Results:
Nurse managers reported higher perceptions of SG, autonomy, and satisfaction than staff nurses. SG and autonomy were significant predictors of patient falls and hospital-acquired pressure injuries. Nurses' autonomy, SG, and Magnet accreditation were significant predictors of nurse satisfaction.

Conclusions:
Leadership support of SG and autonomous practice are key strategies to improve nurse satisfaction and NSI outcomes.
Patient Safety Culture: Effects on Errors, Incident Reporting, and Patient Safety Grade
Authors: Kaya Sıdıka , Banaz Goncuoglu Merve , Mete Buse , Asilkan Zeliha , Mete Anı Hande , Akturan Saadet , Tuncer Nursel , Yukselir Alasirt Fatma , Toka Onur , Gunes Tugba , Gumus Rana 
Published: September 2023

Objectives
This study mainly examines the effects of patient safety culture dimensions on 4 outcomes (self-reported errors, witnessing errors, incident reporting, and patient safety grade).

Methods
The data were collected using the Turkish version of the Safety Attitudes Questionnaire, which consists of 6 dimensions (teamwork climate, safety climate, job satisfaction, stress recognition, perceptions of management, and working conditions). Of 1679 personnel working in 6 hospitals in Ankara, 860 were randomly selected. The data were analyzed using descriptive statistics, the Spearman correlation coefficient, and binary logistic regression analyses.

Results
The response rate was 62.7%. When the overall patient safety culture score increased by 1 point; the probability of witnessing an error was 2 times lower (P < 0.001), the probability of incident reporting was 4.22 times higher (P < 0.001), and the probability of assessing the patient safety grade as excellent was 29.86 times higher (P < 0.001). The teamwork climate was negatively related to making errors and witnessing errors (P < 0.001). The safety climate and working conditions were positively related to incident reporting and patient safety grade (P < 0.001). Job satisfaction was negatively related to incident reporting (P < 0.001). Perceptions of management were positively related to making errors and patient safety grade (P < 0.001).

Conclusions
The patient safety culture scores were positively correlated with incident reporting and patient safety grade but negatively correlated with the occurrence of errors. Each dimension of the patient safety culture, except stress recognition, affected different outcomes. Therefore, managers should focus on different dimensions of patient safety culture to improve different outcomes.
Continued selection on cryptic SARS-CoV-2 observed in Missouri wastewater
Authors: Gregory Devon A. , Rushford Clayton , Lin Chung-Ho , Darby Christie , Niehues Nicole , Semkiw Elizabeth , Reynolds Melissa , Wenzel Jeff , Johnson Marc C. 
Published: September 2023

AbstractDeep sequencing of wastewater to detect SARS-Cov-2 has been used during the COVID-19 pandemic to monitor viral variants as they appear and circulate in communities. SARS-CoV-2 lineages of an unknown source that have not been detected in clinical samples, referred to as cryptic lineages, are sometimes repeatedly detected in specific locations. We have continued to detect one such lineage previously seen in a Missouri site. This cryptic lineage has continued to evolve, indicating continued selective pressure similar to that observed in Omicron lineages.Author SummaryMonitoring sewage for SARS-CoV-2 has been an important part of understanding the dynamics of the virus’s spread and persistence within and across communities during the pandemic. We and others have also observed variants appearing in wastewater that do not appear in clinical sampling. Many of these variants not only possess genomic changes identical to or at the same position as those that have been observed in variants of concern, particularly currently circulating Omicron variants, but often acquire the changes before they have been observed in clinical samples. We report here the continued observation of a variant in Missouri wastewater, but not in clinical sampling, that has continued to evolve, gaining genomic changes that often are the same and predate changes seen in clinical samples. These observation add to our understanding of the selective pressures driving the evolution of SAR-CoV-2.
Selective refueling of CAR T cells using ADA1 and CD26 boosts antitumor immunity
Authors: Hu Yue , Sarkar Abhijit , Song Kevin , Michael Sara , Hook Magnus , Wang Ruoning , Heczey Andras , Song Xiaotong 
Published: September 2023

AbstractCAR T cell therapy has revolutionized the treatment of hematologic malignancies, but its efficacy in solid tumors remains limited due to the immunosuppressive nature of the tumor microenvironment and the inability of T cells to persist and traffic to the tumor site. While current strategies focus on enhancing CAR T cell activity through costimulatory molecules and cytokines, a critical yet often overlooked factor is the competition for nutrients between tumor cells and T cells in the nutrient-deprived tumor microenvironment. To address this challenge, we employed a selective metabolic refueling (MR) strategy by providing T cells with inosine as an alternative fuel source for growth and functionality. In this study, we engineered CAR T cells to co-express a membrane-bound CD26 and a cytoplasmic adenosine deaminase 1 (ADA1) fused to an anti-CD3 scFv. ADA1 irreversibly converts both intracellular and extracellular adenosine to inosine, overcoming adenosine-mediated immunosuppression and providing T cells with inosine for growth. The inclusion of an anti-CD3 scFv fusion partner and overexpressing CD26 boosts ADA1 capture in a membrane proximal manner, providing inosine for T cells and minimizing feeding the tumor cells. We demonstrate that ADA1 is conditionally secreted only in stress conditions and that it activates CAR T cells through trans-signaling in a tumor-specific manner. In addition, we show that, compared to unmodified CAR T cells, CD26-overexpressing CAR T cells have better migration capacity and are less susceptible to TGF-β1 suppression. Finally, we found that, in mice models of human hepatocellular carcinoma (GPC3-MR-CAR) and human non-small cell lung cancer (HER2-MR-CAR), metabolically refueled CAR T cells (MR-CAR) are more efficient in reducing tumor growth than unmodified CAR T cells. Thus, selective refueling CAR T cells using ADA1 and CD26 holds promise for improving the efficacy of CAR T cell therapy of solid tumors.
De novodesigned Hsp70 activator dissolves intracellular condensates
Authors: Zhang Jason Z , Greenwood Nathan , Hernandez Jason , Cuperus Josh T , Huang Buwei , Ryder Bryan D , Queitsch Christine , Gestwicki Jason E , Baker David 
Published: September 2023

AbstractProtein quality control (PQC) is carried out in part by the chaperone Hsp70, in concert with adapters of the J-domain protein (JDP) family. The JDPs, also called Hsp40s, are thought to recruit Hsp70 into complexes with specific client proteins. However, the molecular principles regulating this process are not well understood. We describe thede novodesign of a set of Hsp70 binding proteins that either inhibited or stimulated Hsp70’s ATPase activity; a stimulating design promoted the refolding of denatured luciferasein vitro, similar to native JDPs. Targeting of this design to intracellular condensates resulted in their nearly complete dissolution. The designs inform our understanding of chaperone structure-function relationships and provide a general and modular way to target PQC systems to condensates and other cellular targets.
A draft of human N-glycans of glycoRNA
Authors: Bi Ming , Zhang Zirui , Wang Tao , Liang Hongwei , Tian Zhixin 
Published: September 2023

AbstractIn addition to the backbone molecules of proteins and lipids, RNAs have recently been found to be N-glycosylated as well in cell models. Some overlap of N-glycans between RNA and protein exist in terms of monosaccharide composition. Here we report a draft of human tissue N-glycans of glycoRNA covering 12 typical organs as characterized by mass spectrometry-based N-glycomics. RNAs were first prepared, N-glycans were then enzymatically released, hydrophilically enriched, permethylated, analyzed by RPLC-MS/MS, and finally identified by N-glycan search engine GlySeeker. A total of 676 putative sequence structures with 236 monosaccharide compositions were identified across the 12 organs. Organ-specific similarity and heterogeneity of N-glycosylation in glycoRNAs were annotated. This first comprehensive draft of human glycoRNAs serves a foundation for future structural and functional studies.TOC Graphic
Knowledge, Attitude, and Practice towards Antibiotic Use among the Support Staff of a Tertiary Care Teaching Hospital in India
Authors: Nair Nayana , Kadhe Neha , Badhan Vrushali 
Published: September 2023

AbstractAims & ObjectivesAntimicrobial resistance is a global problem arising mainly due to the irrational use of antibiotics, selfmedication being one of the key contributors. Such practices are particularly common in developing countries where a large section of the population lacks awareness of the proper use of antibiotics.Many studies in the past have assessed knowledge and practices about antibiotic use in public and healthcare personnel. However, literature on the Indian population, specifically, about support staff hospital workers (aya, hamal, ward boy, sweeper) is scarce. The fact that these workers closely interact with both doctors and patients renders them crucial to spreading the right information in the community. This study aims to assess the knowledge, attitude, and practices towards antibiotic use in the support staff of a tertiary healthcare hospital and to identify the demographic factors that affect their knowledge, attitude, and practices towards antibiotic use.MethodologyA descriptive cross-sectional study was carried out using a self-administered, pretested, pre-validated structured questionnaire, in 403 support healthcare workers at a tertiary healthcare hospital. The questionnaire had 4 sections on demographic characteristics, knowledge of antibiotic use and resistance, attitude, and practices of antibiotic consumption.Individual responses were scored and classified as good, average, or poor.ResultsCategory-wise overall respondents’ scores were as follows: Knowledge (64.5% good, 27.8% average, 7.7% poor), Attitude (59.2% good, 33.9% average, 6.9% poor), and Practices (55.6% good, 44.1% average, 0.3% poor). Although 58% of respondents took antibiotics on doctor’s recommendation only, 93% did not use their leftover medication for family. 100% of people with age >50 years completed full courses of prescribed antibiotic therapy.Conclusion and SignificanceThe study showed an association between good Knowledge, Attitude, and Practices with better education and income. While >50% study population scored well on all 3 criterion, certain issues, such as using leftover antibiotics for family and taking antibiotics without a doctor’s recommendation, are heavily prevalent. More awareness is required to prevent such practices.
Prenatal cannabis exposure is associated with localized brain differences that partially mediate associations with increased adolescent psychopathology
Authors: Baranger David AA , Miller Alex P , Gorelik Aaron J , Paul Sarah E , Hatoum Alexander S , Johnson Emma C , Colbert Sarah MC , Smyser Christopher D , Rogers Cynthia E , Bijsterbosch Janine D , Agrawal Arpana , Bogdan Ryan 
Published: September 2023

AbstractPrenatal cannabis exposure (PCE) is associated with mental health problems, but the neurobiological mechanisms remain unknown. We find that PCE is associated with localized differences across neuroimaging metrics that longitudinally mediate associations with mental health in adolescence (n=9,322-10,186). Differences in brain development may contribute to PCE-related variability in adolescent mental health.
Exploring Degradation of Intrinsically Disordered Protein YAP induced by PROTACs
Authors: Zhou Chen , Sun Chunbao , Pi Liya , Li Chenglong 
Published: September 2023

AbstractYes-associated protein (YAP), a potent oncogene and a key player in the Hippo tumor suppression pathway, has long been considered challenging to target due to its partially intrinsically disordered nature. However, recent advances in High-throughput Screening (HTS) have led to the discovery of a few YAP binders. Building upon this progress, a novel approach utilizing Proteolysis-Targeting Chimera (PROTAC) technology was employed to design and synthesize a series of YAP degraders. Here, our degraders were created by linking NSC682769, a previously reported YAP binder, with either VHL ligand 2 or pomalidomide using various linkers of different lengths and types. The most promising degraderYZ-6recruits the E3 ligase VHL, inducing rapid and sustained YAP degradation leading to suppression of YAP/TEAD-led transcription in both YAP-dependent NCI-H226 and Huh7 cancer cell lines. In addition to its degradation capabilities,YZ-6also exhibited potent antiproliferative activity in both cell lines. Importantly,YZ-6efficiently suppresses tumor development in the Huh7 xenograft mouse model without adverse effects on the mice. These findings highlight the potential of PROTAC-mediated degradation as a viable strategy for reducing oncogenic YAP levels and attenuating downstream signaling in cancer cells. Moreover, the development of PROTACs based on NSC672869 holds promise for treating YAP-driven malignancies.
Adaptation of a Mutual Exclusivity Framework to Identify Driver Mutations within Biological Pathways
Authors: Wang Xinjun , Kostrzewa Caroline , Reiner Allison , Shen Ronglai , Begg Colin 
Published: September 2023

AbstractDistinguishing genomic alterations in cancer genes that have functional impact on tumor growth and disease progression from the ones that are passengers and confer no fitness advantage has important clinical implications. Evidence-based methods for nominating drivers are limited by existing knowledge on the oncogenic effects and therapeutic benefits of specific variants from clinical trials or experimental settings. As clinical sequencing becomes a mainstay of patient care, applying computational methods to mine the rapidly growing clinical genomic data holds promise in uncovering novel functional candidates beyond the existing knowledge-base and expanding the patient population that could potentially benefit from genetically targeted therapies. We propose a statistical and computational method (MAGPIE) that builds on a likelihood approach leveraging the mutual exclusivity pattern within an oncogenic pathway for identifying probabilistically both the specific genes within a pathway and the individual mutations within such genes that are truly the drivers. Alterations in a cancer gene are assumed to be a mixture of driver and passenger mutations with the passenger rates modeled in relationship to tumor mutational burden. A limited memory BFGS algorithm is used to facilitate large scale optimization. We use simulations to study the operating characteristics of the method and assess false positive and false negative rates in driver nomination. When applied to a large study of primary melanomas the method accurately identified the known driver genes within the RTK-RAS pathway and nominated a number of rare variants with previously unknown biological and clinical relevance as prime candidates for functional validation.
Energetic Demands Regulate Sleep-Wake Rhythm Circuit Development
Authors: Poe Amy R. , Zhu Lucy , Tang Si Hao , Valencia Ella , Kayser Matthew S. 
Published: September 2023

AbstractSleep and feeding patterns lack strong daily rhythms during early life. As diurnal animals mature, feeding is consolidated to the day and sleep to the night. InDrosophila, circadian sleep patterns are initiated with formation of a circuit connecting the central clock to arousal output neurons; emergence of circadian sleep also enables long-term memory (LTM). However, the cues that trigger the development of this clock-arousal circuit are unknown. Here, we identify a role for nutritional status in driving sleep-wake rhythm development inDrosophilalarvae. We find that in the 2ndinstar larval period (L2), sleep and feeding are spread across the day; these behaviors become organized into daily patterns by the 3rdinstar larval stage (L3). Forcing mature (L3) animals to adopt immature (L2) feeding strategies disrupts sleep-wake rhythms and the ability to exhibit LTM. In addition, the development of the clock (DN1a)-arousal (Dh44) circuit itself is influenced by the larval nutritional environment. Finally, we demonstrate that larval arousal Dh44 neurons act through glucose metabolic genes to drive onset of daily sleep-wake rhythms. Together, our data suggest that changes to energetic demands in developing organisms trigger the formation of sleep-circadian circuits and behaviors.
Fossil-calibrated inference of divergence times among the Volvocine algae enables reconstruction of the steps that led to differentiated multicellularity
Authors: Lindsey Charles Ross , Knoll Andrew H. , Herron Matthew D. , Rosenzweig Frank 
Published: September 2023

AbstractThroughout its nearly four-billion-year history, life has undergone evolutionary transitions in which simpler subunits have become integrated to form a more complex whole. Many of these transitions opened the door to innovations that resulted in increased biodiversity and/or organismal efficiency. The evolution of multicellularity from unicellular forms represents one such transition, one that paved the way for cellular differentiation, including differentiation of male and female gametes. A useful model for studying the evolution of multicellularity and cellular differentiation is the volvocine algae, a clade of freshwater green algae whose members range from unicellular to colonial, from undifferentiated to completely differentiated, and whose gamete types can be isogamous, anisogamous, or oogamous. To better understand how multicellularity, differentiation, and gametes evolved in this group, we used comparative genomics and fossil data to establish a geologically calibrated roadmap of when these innovations occurred. Our results, presented as ancestral-state reconstructions, show that multicellularity arose independently twice in this clade. Our chronograms indicate multicellularity evolved during the Carboniferous-Triassic periods in Goniaceae + Volvocaceae, and possibly as early as the Cretaceous in Tetrabaenaceae. Using divergence time estimates we inferred when, and in what order, specific developmental changes occurred that led to differentiated multicellularity and oogamy. We find that in the volvocine algae the temporal sequence of developmental changes leading to differentiated multicellularity is much as proposed by David Kirk, and that multicellularity is correlated with the acquisition of anisogamy and oogamy. Lastly, morphological, molecular, and divergence time data suggest the possibility of cryptic species in Tetrabaenaceae.
Save GPU RAM Usage in Convolutional Layers to Load Larger Histopathological Images
Authors: Ando Takumi 
Published: September 2023

AbstractImage recognition models have evolved tremendously. Despite the progress for general images, histopathological images are not easy targets. One of the reasons is that histopathological images can be 100000-200000px in height and width which are often too large for a deep neural network model to handle directly because the RAM of the GPU is limited. Mitigating the obstacle is expected to be a progress in the histopathological image analysis. In this study, we save the RAM consumption in a convolutional layer by allocating only the required data to GPU only when needed and by dividing the calculation into per channel. This RAM Saving Convolutional layer (RSConv) can load larger images than a normal convolutional layer. The code is available athttps://github.com/tand826/RAMSavingConv2d.
Caring for Terminally Ill Cancer Patients: A Systematic Review of Literature on the Stress Experienced by Family Caregivers
Authors: Jhang Kaijyun , Luh Dih-Ling 
Published: September 2023

ABSTRACTObjectiveThis research takes previous study, Cancer family caregivers during the palliative, hospice, and bereavement phases: A review of the descriptive psychosocial literature, limited in recent decade, as methodology template. The purpose of this review was to organize the literature as compared to the different result of previous study.MethodAs a systematic review, major databases were searched for non-intervention descriptive studies. Psychosocial variables of family caregivers to adults with cancer during the different phases would be included.ResultThe 23 studies reviewed were conducted in ten countries and varied considerably by samples, outcome measures, and results. Despite limiting several conditions, results, such as age, gender, and relationship to the patient, were inconsistent. Across the 23 studies, 53 unique instruments were used; 13 of which were no psychometric testing. The family caregivers who were younger and faced level of daily life impairment tended to be burden, anxious, depress. To summarize the different factors influencing caregivers’ status, complicated grief was consistent with their situation.ConclusionAs comparewith previous study, it demonstrated inconsistent results, which were spouse, gender and age, affecting family caregivers’ status. However, regarding to measurement instruments using, it was much more rigorous than before. Also, it had been changed in the major study site and the number of study. As a consequence of physical and psychosocial status of family caregivers, they were in high risk population.
PCR-based amplification of acox1mini-DNA barcode gene from feces: A non-invasive molecular technique to identify environmental DNA samples of maritime shrew (Sorex maritimensis)
Authors: Jalilvand Golnar , Stewart Donald T. 
Published: September 2023

AbstractThe Maritime Shrew (Sorex maritimensis) is endemic to Canada and found only in Nova Scotia and New Brunswick. The Maritime Shrew has been identified as one of the vertebrate species in Nova Scotia that is most susceptible to the effects of climate change and global warming, and it is listed by NatureServe as Vulnerable (category G3). While generally regarded as a wetland specialist, relatively little is known about their specific habitat preferences. Non-invasive methods of sampling have proven valuable in identifying and monitoring such rare species. The objective of this study was to optimize a non-invasive method to document presence of Maritime Shrews using non-invasively collected fecal DNA and to develop a PCR-based protocol to amplify a short, ∼120 base pair section of thecox1gene using shrew-specific primers. We used baited feeding tubes to collect shrew feces. Cox1PCR primers were designed to preferentially amplify this mini-DNA barcode for shrews in samples that may contain feces from rodents as well. The primers were designed to amplify a small amplicon to increase the likelihood of successful amplification from degraded DNA. This technique is likely to be effective for documenting the distribution and habitat preferences of this relatively rare shrew in Nova Scotia and New Brunswick.