bluuebunny/crossref_metadata_2025_split huggingface dataset:
Disrupting the epistemic arrangements of nursing education canon: Reflections about a prelicensure Community Engagement series
Authors: Valderama‐Wallace Claire 
Published: July 2024

AbstractNursing education, as with professionalization projects, is fraught with epistemicide, false separations, and a focus on expertise over relations and accountability. This is a critical reflection of the first 5 years of a four‐semester prelicensure Community Engagement course series. As the course lead, I have consistently initiated adjustments, based on experiences teaching multiple sections and synthesizing comments and feedback from students and faculty, with an eye toward longstanding and pressing concerns in the world around us. Two broad epistemic arrangements emerge from this critical excavation: (1) naturalized hierarchy, false separations, and appraisals of relevance and (2) relationality and reflection as unsettling. There is a need for sustained collective examination and shift in how the nursing education and healthcare industries curate the meanings and practice of “community,” “health,” and “nursing,” peering out from the regulatory oversight of neoliberal forces. How might we situate student progression, program implementation, institutional contracts, and curricular standards within the contexts of nursing programs' responsibilities to local communities in light of unfolding events locally and globally and their historical antecedents? How are we all, as faculty, disrupting siloes, false separations, and the contradictions of professionalism and the biomedical model to intentionally advance health equity? May we continue to illuminate the presence of community as being everywhere, not merely in juxtaposition to acute care. May we unsettle the prevailing theorization and practices of community throughout nursing education and commit to imagining and practicing relational praxis.
Avoiding the use of long‐term parenteral support in patients without intestinal failure: A position paper from the European Society of Clinical Nutrition & Metabolism, the European Society of Neurogastroenterology and Motility and the Rome Foundation for Disorders of Gut–Brain Interaction
Authors: Lal S. , Paine P. , Tack J. , Aziz Q. , Barazzoni R. , Cuerda C. , Jeppesen P. , Joly F. , Lamprecht G. , Mundi M. , Schneider S. , Szczepanek K. , Van Gossum A. , Wanten G. , Vanuytsel T. , Pironi L. 
Published: July 2024

AbstractThe role of long‐term parenteral support in patients with underlying benign conditions who do not have intestinal failure (IF) is contentious, not least since there are clear benefits in utilising the oral or enteral route for nutritional support. Furthermore, the risks of long‐term home parenteral nutrition (HPN) are significant, with significant impacts on morbidity and mortality. There has, however, been a recent upsurge of the use of HPN in patients with conditions such as gastro‐intestinal neuromuscular disorders, opioid bowel dysfunction, disorders of gut–brain interaction and possibly eating disorders, who do not have IF. As a result, the European Society of Clinical Nutrition and Metabolism (ESPEN), the European Society of Neuro‐gastroenterology and Motility (ESNM) and the Rome Foundation for Disorders of Gut Brain Interaction felt that a position statement is required to clarify – and hopefully reduce the potential for harm associated with – the use of long‐term parenteral support in patients without IF. Consensus opinion is that HPN should not be prescribed for patients without IF, where the oral and/or enteral route can be utilised. On the rare occasions that PN commencement is required to treat life‐threatening malnutrition in conditions such as those listed above, it should only be prescribed for a time‐limited period to achieve nutritional safety, while the wider multi‐disciplinary team focus on more appropriate biopsychosocial holistic and rehabilitative approaches to manage the patient's primary underlying condition.
Maize zinc uptake is influenced by arbuscular mycorrhizal symbiosis under various soil phosphorus availabilities
Authors: Yu Baogang , Zhou Chengxiang , Wang Zhonghua , Bucher Marcel , Schaaf Gabriel , Sawers Ruairidh J. H. , Chen Xinping , Hochholdinger Frank , Zou Chunqin , Yu Peng 
Published: July 2024

Summary

The antagonistic interplay between phosphorus (P) and zinc (Zn) in plants is well established. However, the molecular mechanisms mediating those interactions as influenced by arbuscular mycorrhizal (AM) symbiosis remain unclear.

We investigated Zn concentrations, root AM symbiosis, and transcriptome profiles of maize roots grown under field conditions upon different P levels. We also validated genotype‐dependent P–Zn uptake in selected genotypes from a MAGIC population and conducted mycorrhizal inoculation experiments using mycorrhizal‐defective mutant pht1;6 to elucidate the significance of AM symbiosis in P–Zn antagonism. Finally, we assessed how P supply affects Zn transporters and Zn uptake in extraradical hyphae within a three‐compartment system.

Elevated P levels led to a significant reduction in maize Zn concentration across the population, correlating with a marked decline in AM symbiosis, thus elucidating the P–Zn antagonism. We also identified ZmPht1;6 is crucial for AM symbiosis and confirmed that P–Zn antagonistic uptake is dependent on AM symbiosis. Moreover, we found that high P suppressed the expression of the fungal RiZRT1 and RiZnT1 genes, potentially impacting hyphal Zn uptake.

We conclude that high P exerts systemic regulation over root and AM hyphae‐mediated Zn uptake in maize. These findings hold implications for breeding Zn deficiency‐tolerant maize varieties.
Cross‐national governmental treatment toward atheists since 1816
Authors: Huft Justin , Fields Ben 
Published: July 2024

AbstractAs the atheist population grows globally, understanding how governments treat the growing population is vital. Two theories, group threat theory (GTT) and world society theory (WST), offer differing predictions. GTT suggests increasing atheists may face unfavorable treatment because religious groups perceive them as a threat. Conversely, WST proposes that a more interconnected world culture advances secularism, which promotes positive treatment for atheists. This study explores the interplay between these theories and sheds light on how governments treat atheists across countries. Utilizing a comprehensive panel dataset spanning nearly 200 years, we investigate governmental treatment toward atheists, analyzing data from diverse countries and tracking changes over time. Our results reveal that as the proportion of atheists increases, their treatment by governments becomes more favorable, challenging the tenets of GTT. We also find that embeddedness in political or economic networks is related to more favorable treatment of atheists.
A spatial model for the representation of emotional landscapes
Authors: Anderson Christopher J. , Giordano Alberto 
Published: July 2024

AbstractThis article proposes a cartographic solution to represent the emotional landscapes of evasion for a Holocaust survivor, specifically his perceptions of safety or danger during his escape. The victim's emotional landscapes are spatially interpolated using techniques for vectors of both travel direction and magnitude (of perceptions of safety or danger). The implications for the spatial representation of emotions are that emotional landscapes might be better understood by going through an interpolation process, as the statistical analysis reveals spatial trends and autocorrelation. This may help in understanding how the abstract notion of space and the human valence of place vary in relation to each other (or not), and whether and how that variation differs based on distance and direction.
Mapping of specialized metabolite terms onto a plant phylogeny using text mining and large language models
Authors: Busta Lucas , Hall Drew , Johnson Braidon , Schaut Madelyn , Hanson Caroline M. , Gupta Anika , Gundrum Megan , Wang Yuer , A. Maeda Hiroshi 
Published: July 2024

SUMMARYPlants produce a staggering array of chemicals that are the basis for organismal function and important human nutrients and medicines. However, it is poorly defined how these compounds evolved and are distributed across the plant kingdom, hindering a systematic view and understanding of plant chemical diversity. Recent advances in plant genome/transcriptome sequencing have provided a well‐defined molecular phylogeny of plants, on which the presence of diverse natural products can be mapped to systematically determine their phylogenetic distribution. Here, we built a proof‐of‐concept workflow where previously reported diverse tyrosine‐derived plant natural products were mapped onto the plant tree of life. Plant chemical‐species associations were mined from literature, filtered, evaluated through manual inspection of over 2500 scientific articles, and mapped onto the plant phylogeny. The resulting “phylochemical” map confirmed several highly lineage‐specific compound class distributions, such as betalain pigments and Amaryllidaceae alkaloids. The map also highlighted several lineages enriched in dopamine‐derived compounds, including the orders Caryophyllales, Liliales, and Fabales. Additionally, the application of large language models, using our manually curated data as a ground truth set, showed that post‐mining processing can largely be automated with a low false‐positive rate, critical for generating a reliable phylochemical map. Although a high false‐negative rate remains a challenge, our study demonstrates that combining text mining with language model‐based processing can generate broader phylochemical maps, which will serve as a valuable community resource to uncover key evolutionary events that underlie plant chemical diversity and enable system‐level views of nature's millions of years of chemical experimentation.
Advancements in machine learning modelling for energy and emissions optimization in wastewater treatment plants: A systematic review
Authors: Abunama Taher , Dellieu Antoine , Nonet Stéphane 
Published: July 2024

AbstractWastewater treatment plants (WWTPs) are high‐energy consumers and major Greenhouse Gas (GHG) emitters. This review offers a comprehensive global overview of the current utilization of machine learning (ML) to optimize energy usage and reduce emissions in WWTPs. It compiles and analyses findings from over a hundred studies primarily conducted within the last decade. These studies are organized into five primary areas: energy consumption (EC), aeration energy (AE), pumping energy (PE), sludge treatment energy (STE) and greenhouse gas (GHG). Additionally, they are further categorized based on learning type, the scale of application, geographic location, year, performance metrics, software, etc. ANNs emerged as the most prevalent, closely trailed by FL and RF. While GA and PSO are the predominant metaheuristic approaches. Despite increasing complexity, researchers are inclined towards employing hybrid models to enhance performance. Reported reductions in energy consumption or GHG emissions spanned various ranges, falling within the 0–10%, 10–20% and >20% brackets.
A survey of patient practices regarding leftover antibiotics reveals a potential source of antibiotic overuse
Authors: Shah Jesal , Trautner Barbara W. , Olmeda Kiara , Laytner Lindsey A. , Faustinella Fabrizia , Paasche-Orlow Michael K. , Grigoryan Larissa 
Published: July 2024

ABSTRACT

Taking leftover prescribed antibiotics without consulting a healthcare professional is problematic for the efficacy, safety, and antibiotic stewardship. We conducted a cross-sectional survey of adult patients in English and Spanish between January 2020 and June 2021 in six safety-net primary care clinics and two private emergency departments. We assessed the reasons for stopping prescribed antibiotics early and what was done with the leftover antibiotics. Additionally, we determined 1) prior leftover antibiotic use, 2) intention for future use of leftover antibiotics, and 3) sociodemographic factors. Of 564 survey respondents (median age of 51), 45% (251/564) reported a history of stopping antibiotics early, with 171/409 (42%) from safety net and 80/155 (52%) from the private clinics. The most common reason for stopping prescribed antibiotics early was “because you felt better” (194/251, 77%). Among survey participants, prior use of leftover antibiotics was reported by 149/564 (26%) and intention for future use of leftover antibiotics was reported by 284/564 (51%). In addition, higher education was associated with a higher likelihood of prior leftover use. Intention for future use of leftover antibiotics was more likely for those with transportation or language barriers to medical care and less likely for respondents with private insurance. Stopping prescribed antibiotics early was mostly ascribed to feeling better, and saving remaining antibiotics for future use was commonly reported. To curb nonprescription antibiotic use, all facets of the leftover antibiotic use continuum, from overprescribing to hoarding, need to be addressed.
A deep cut into early cryptococcal pathogenesis
Authors: Davis J. Muse 
Published: July 2024

ABSTRACT

Dissemination from one organ system to another is common to many pathogens and often the key process separating simple illness from fatal infection. The pathogenic
Cryptococcus
species offer a prime example. Cryptococcal infection is thought to begin in the lungs, as a mild or asymptomatic pneumonia. However, bloodborne dissemination from the lungs to the brain is responsible for the most devastating forms of infection. As with other disseminating infections, the transition likely depends on rare but crucial events, such as the crossing of a tissue barrier. By their nature, these events are difficult to study. Francis et al. (mBio 15:e03078-23, 2024,
https://doi.org/10.1128/mbio.03078-23
) have addressed this difficulty by developing a powerful imaging pipeline to scan through unprecedented volumes of tissue from mice infected with
Cryptococcus
at multiple stages of infection. Their observations challenge some of our basic assumptions about cryptococcal pathogenesis, including when and how the organism reaches the bloodstream and the central nervous system.
Proactive advance care planning conversations in general practice: a quality improvement project
Authors: Winnifrith Tabitha , Millington-Sanders Catherine , Husbands Emma , Haros Jane , Ballinger Helen 
Published: July 2024

Advance care planning (ACP) is a process of discussion, reflection and communication, enabling planning for future medical treatment. Despite evidence of benefits of ACP to patients, families and the healthcare system, many die without an opportunity for such conversations, particularly those living with progressive non-malignant conditions. The Royal College of General Practitioners and Marie Curie Daffodil Standards launched in 2020 provide primary care with a structure for improving end-of-life care, including delivery of ACP. Proactive identification of patients is integral to the approach.We report on a quality improvement project which aimed to assess the take-up rate and acceptability in general practice of a timely and personalised ACP conversation using a ‘What matters to you’ (WMTY) framework, and to ensure that different diagnostic and demographic groups were included.Patients without previous ACP and potentially in the last year of life were offered an ACP conversation; a survey sought feedback.81% accepted the offer and in most cases, future care guidance was documented using the recognised format in Gloucestershire for recording ACP conversations, the Recommended Summary for Emergency Care and Treatment (ReSPECT) plan. Clinician and patient satisfaction was high.We concluded that an ACP discussion using a ‘WMTY’ format was highly acceptable to most. With recognised enablers in place and known barriers minimised, valuable personalised conversations occurred. Reframing the conversation to focus on how someone wants to live, while including their priorities for death, could alter how such conversations are perceived by clinicians and the public. It could remove negative associations (such as linking these conversations with an imminent death), which may increase motivation for all to initiate discussions.ACP conversations are evidenced best practice and could become routine in general practice with adjustments to practice processes and clinician education; the Daffodil Standards facilitate continued quality improvement.
Themes associated with uncollected paediatric prescriptions at a large tertiary children’s hospital: a retrospective, observational study
Authors: Williams Chloe Elizabeth Charlotte , Bracken Louise , Gill Andrea , Oni Louise 
Published: July 2024

ObjectiveThis study aimed to assess the number of prescriptions that were uncollected by caregivers to identify any predisposing systemic themes that may act as barriers to children receiving medications.Study design and settingData were retrospectively collected on uncollected prescriptions at a single, tertiary paediatric centre over a 2-month period. This included type and classification of the drug, prescriber specialty, the timing of prescription and the child’s registered postcode. Key themes were identified.ResultsA total of 124 uncollected prescriptions involving 94 patients were included. 103 (83%) of these were clinic prescriptions, and azathioprine was the most frequently uncollected prescription (n=6, 5%). The uncollected prescriptions most commonly fell under the ‘gastrointestinal system’ (n=26, 21%) and ‘skin’ (n=24, 19%) categories, and similarly, 24 (19%) were prescribed by the gastroenterology department and 18 (15%) by dermatology. The mean distance from the child’s registered postcode was 8.5±11.8 miles (range 0.5–73.4) with a considerable number of children having a registered postcode greater than 10 miles from the hospital (n=24, 27%). Many children lived in areas corresponding to the lowest decile of the Index of Multiple Deprivation (IMD) (n=38, 42%).ConclusionUrgent interventions and further prospective studies are needed to minimise the barriers that caregivers face in collecting their child’s prescription.
Changes in all-cause and cause-specific mortality by occupational skill during COVID-19 epidemic in Spain
Authors: González-Beltrán Damián , Donat Marta , Politi Julieta , Ronda Elena , Barrio Gregorio , Belza María José , Regidor Enrique 
Published: July 2024

Background
There is little information on the differential impact of the COVID-19 pandemic on mortality by occupation. The objective was to examine changes in mortality during the COVID-19 period compared with the prepandemic period in different occupational groups in Spain.

Methods
Average mortality in the entire period 2020–2021, and each of its semesters, was compared, respectively, with the average mortality in the entire period 2017–2019, and the corresponding semester (first or second) of this last period, across occupational skill levels. For this, age-standardised death rates and age-adjusted mortality rate ratios (MRRs) obtained through Poisson regression were used. Data were obtained from the National Institute of Statistics and the Labour Force Survey.

Results
The excess all-cause mortality during the 2020–2021 pandemic period by the MRR was higher in low-skilled (1.18, 95% CI 1.16 to 1.20) and medium-skilled workers (1.14; 95% CI 1.13 to 1.15) than high-skilled workers (1.04; 95% CI 1.02 to 1.05). However, the greatest excess mortality was observed in low-skilled workers in 2020 and in medium-skilled workers in 2021. Focusing on causes of death other than COVID-19, low-skilled workers showed the highest MRR from cardiovascular diseases (1.31; 95% CI 1.26 to 1.36) and high-skilled workers the lowest (1.02; 95% CI 0.98 to 1.02). However, this pattern was reversed for mortality from external causes, with low-skilled workers showing the lowest MRR (1.04; 95% CI 0.97 to 1.09) and high-skilled workers the highest (1.08; 95% CI 1.03 to 1.13).

Conclusion
Globally, in Spain, during the 2020–2021 COVID-19 epidemic period, low-skilled workers experienced a greater excess all-cause mortality than other occupational groups, but this was not the case during the entire epidemic period or for all causes of death.
Harnessing lipid metabolism modulation for improved immunotherapy outcomes in lung adenocarcinoma
Authors: Chen Yang , Zhou Yu , Ren Ran , Chen Yu , Lei Juan , Li Yongsheng 
Published: July 2024

BackgroundWhile anti-programmed cell death protein-1 (PD-1) monotherapy has shown effectiveness in treating lung cancer, its response rate is limited to approximately 20%. Recent research suggests that abnormal lipid metabolism in patients with lung adenocarcinoma may hinder the efficacy of anti-PD-1 monotherapy.MethodsHere, we delved into the patterns of lipid metabolism in patients with The Cancer Genome Atlas (TCGA)-lung adenocarcinoma (LUAD) and their correlation with the immune microenvironment’s cellular infiltration characteristics of the tumor. Furthermore, the lipid metabolism score (LMS) system was constructed, and based on the LMS system, we further performed screening for potential agents targeting lipid metabolism. The mechanism of MK1775 was further validated using RNA sequencing, co-culture technology, andin vivoexperiments.ResultsWe developed an LSM system and identified a potential sensitizing agent, MK1775, which targets lipid metabolism and enhances the effects of anti-PD-1 treatment. Our results demonstrate that MK1775 inhibits tumor progression by influencing lipid crosstalk between tumor cells and tumor-associated macrophages and CD8+T cells, thereby increasing the effectiveness of anti-PD-1 treatment. Further, we found that MK1775 inhibited the phosphatidylinositol 3-kinase(PI3K)/AKT/mammalian target of rapamycin (mTOR) signaling pathway, which on one hand downregulated FASN-mediated synthesis of fatty acids (FAs) to inhibit fatty acid oxidation of tumor-associated macrophages, and on the other hand, promoted IRF-mediated secretion of CXCL10 and CXCL11 to facilitate the infiltration of CD8+T cells.ConclusionsThese findings emphasize the important role of lipid metabolism in shaping the complex tumor microenvironment. By manipulating the intricate intricacies of lipid metabolism within the tumor microenvironment, we can uncover and develop promising strategies to sensitize immunotherapy, potentially revolutionizing cancer treatment approaches.