bluuebunny/crossref_metadata_2025_split huggingface dataset:
Preference-based hiring decisions and incentives
Authors: Gioia Francesca , Immordino Giovanni 
Published: September 2023

AbstractThis article replicates an experiment by Coffman et al. (Manag Sci 67(6):3551–3569, 2021) who separated taste-based and statistical discrimination by comparing employer choices in one of two hiring environments (treatments). Both treatments were characterized by the same ability distributions of workers in tasks on which men are found to outperform women on average, but only one allowed for gender-specific considerations. We found statistical discrimination against women when they are presented to employers not as women, but as people belonging to a low-performance group, but discrimination in their favor when their gender is revealed to potential employers. This discrimination in favor of women was observed in both male and female employers. It was greater when employers were women and disappeared when monetary incentives to employ more productive workers were higher for employers.
Asymptotic Fermat for signatures (r, r, p) using the modular approach
Authors: Mocanu Diana 
Published: September 2023

AbstractLetKbe a totally real field, and$$r\ge 5$$r≥5a fixed rational prime. In this paper, we use the modular method as presented in the work of Freitas and Siksek to study non-trivial, primitive solutions$$(x,y,z) \in \mathcal {O}_K^3$$(x,y,z)∈OK3of the signature (r, r, p) equation$$x^r+y^r=z^p$$xr+yr=zp(wherepis a prime that varies). An adaptation of the modular method is needed, and we follow the work of Freitas which constructs Frey curves over totally real subfields of$$K(\zeta _r)$$K(ζr). When$$K=\mathbb {Q}$$K=Qwe get that for most of the primes$$r<150$$r<150with$$r \not \equiv 1 \mod 8$$r≢1mod8there are no non-trivial, primitive integer solutions (x, y, z) with 2|zfor signatures (r, r, p) whenpis sufficiently large. Similar results hold for quadratic fields, for example when$$K=\mathbb {Q}(\sqrt{2})$$K=Q(2)there are no non-trivial, primitive solutions$$(x,y,z)\in \mathcal {O}_K^3$$(x,y,z)∈OK3with$$\sqrt{2}|z$$2|zfor signatures (5, 5, p), (11, 11, p), (13, 13, p) and sufficiently largep.
Comparison of treatment with insulin detemir and NPH in women with gestational diabetes mellitus: glycemic control and pregnancy outcomes. A retrospective study
Authors: Kazakou Paraskevi , Paschou Stavroula A. , Mitropoulou Marina , Vasileiou Vasiliki , Sarantopoulou Vasiliki , Anastasiou Eleni 
Published: September 2023

Abstract
Purpose
The objective of this retrospective study was to compare glycemic control, pregnancy outcomes, and neonatal outcomes in women with gestational diabetes mellitus (GDM) treated with (a) insulin detemir and (b) insulin neutral protamine Hagedorn (NPH).

Methods
A total of 192 women with GDM were included in the analysis. Ninety-eight women received detemir, while 94 women received NPH. Data regarding medical history, glycemic control, and time and mode of delivery, as well as neonatal outcomes, were recorded.

Results
Baseline characteristics were comparable between the two groups. There were no differences with respect to the week of insulin initiation, total insulin dose, duration of insulin therapy, daily insulin dose/weight in early and late pregnancy, or the number of insulin injections per day. Maternal overall weight gain during pregnancy and weight gain per week did not differ either. The detemir group had slightly lower HbA1c levels at the end of gestation [median: det 5.2% (33 mmol/mol) vs NPH 5.4% (36 mmol/mol), p=0.035). There were no cases of hypoglycemia or allergic reactions in the two groups. There were also no differences regarding neonatal outcomes according to the available data, given that data in some cases were missing.

Conclusion
The use of insulin detemir was found to be equally effective and safe compared to NPH in women with GDM.
A machine learning approach to predict the parameters of COVID‐19 severity to improve the diagnosis protocol in Oman
Authors: Al Shaqsi Jamil , Borghan Mohamed , Drogham Osama , Al Whahaibi Salim 
Published: September 2023

AbstractThe purpose of this study is to utilize a Machine Learning-based methodology for predicting the key parameters contributing to severe COVID-19 cases among patients in Oman. To carry out the investigation, a comprehensive dataset of patient information, encompassing a range of blood parameters, was acquired from major government hospitals in Oman. Diverse machine learning algorithms were deployed to uncover underlying trends within the acquired dataset. The outcomes of this research delineated the determinants of severe cases into two categories: non-blood-related parameters and blood-related parameters. Among non-blood-related factors, advanced age, gender, and the presence of chronic kidney disease emerged as risk factors contributing to unfavorable prognoses, particularly in elderly patients. In the realm of blood parameters, male patients with blood types O-positive and A-positive exhibited heightened susceptibility to severe illness compared to their female counterparts. Additionally, deviations in Hemoglobin levels, Mean Cell Volume, and Eosinophil counts were identified as drivers of poor prognoses among elderly patients. The implications of these research findings extend to aiding healthcare decision-makers in quantifying the associated risks, health benefits, and cost-effectiveness pertaining to COVID-19. Furthermore, the acquired insights can empower decision-makers to refine the management of COVID-19, expediting treatment protocols and minimizing the risk of mortality. Interestingly, the study unveiled a correlation linking blood type to disease progression. A notable finding indicated that a staggering 96.5% of patients succumbed to the disease even when their blood sodium levels remained in the standard range of 136–145 mmol/L. These insights hold immense value for healthcare institution decision-makers, allowing a more in-depth evaluation of the risks, health benefits, and the cost-effectiveness related to COVID-19. Consequently, the findings offer a guiding light for implementing pivotal measures, optimizing treatment protocols, and substantially reducing mortality risks associated with the virus.
Keepers of the flame: songspirals are a university for us
Authors: Country Bawaka 
Published: September 2023

Abstract“Songspirals are a university for us, they are a map of understandings” (Gay’wu Group of Women, 2019, p. 33).This paper is authored by Bawaka Country, acknowledging Country’s ability to teach and share. Country is homeland and place. Country is everything and the relationships that bring everything to life. Country is knowledge. This paper is shaped and enabled by songspirals. Songspirals are sung and cried by Yolŋu people in north east Arnhem Land, Australia, to awaken Country, to make and remake the life-giving connections between people and place.The Goŋ-gurtha songspiral leads this paper, showing us how a Yolŋu Country-led pedagogy centres Country’s active agency by learning through, with, and as Country. This pedagogy shares with us the ongoing connections within and between generations to ensure that knowledge remains strong and that sharing is done the right way, according to Yolŋu Rom, Law/Lore. This learning is predicated on relationality and responsibility. It is a more-than-human learning in which human knowing is decentred and Country is knowledgeable. It is a learning which recognises and respects its limits and it is a learning in which the ongoing sovereignty of Yolŋu people is front and centre.
Learning to care for Dangaba
Authors: Poelina Anne , Paradies Yin , Wooltorton Sandra , Mulligan Edwin Lee , Guimond Laurie , Jackson-Barrett Libby , Blaise Mindy 
Published: September 2023

AbstractIn a Kimberley place-based cultural story, Dangaba is a woman whose Country holds poison gas. Her story shows the importance of cultural ways of understanding and caring for Country, especially hazardous places. The authors contrast this with a corporate story of fossil fuel, illustrating the divergent discourses and approaches to place. Indigenous and local peoples and their knowledge, cultures, laws, philosophies and practices are vitally important to Indigenous lifeways and livelihoods, and critically significant to the long-term health and well-being of people and place in our locality, region and world. We call for storying and narratives from the pluriverse of sociocultural voices to be a meaningful part of environmental education and to be implemented in multiple places of learning. To know how to hear, understand and apply the learnings from place-based story is to know how to move beyond a normalised worldview of separation, alienation, individualism, infinite growth, consumption, extraction, commodification and craving. To know how to see, feel, describe and reflect upon experience, concepts and practice is to find ways to move towards radical generosity, mutuality of becoming, embodied kinship, wisdom, humility and respect.
Low infectivity among asymptomatic patients with a positive SARS-CoV-2 admission test at a tertiary-care center, 2020–2022
Authors: Tayyar Ralph , Kiener Melanie , Liang Jane W. , Anez Gustavo Contreras , Nava Guillermo Rodriguez , Zimmet Alex , Contag Caitlin A. , Srinivasan Krithika , Tompkins Lucy , Subramanian Aruna , Shepard John , Pinsky Benjamin A. , Salinas Jorge 
Published: September 2023

Background: Many hospitals have implemented admission SARS-CoV-2 testing to evaluate for the need for transmission-based precautions. However, a positive test in an asymptomatic patient may represent (1) active infection, signifying infectiousness; (2) false positivity; or (3) past infection with prolonged viral shedding. We used a strand-specific SARS-CoV-2 reverse real-time polymerase chain reaction (rRT-PCR) assay to assess infectivity among asymptomatic patients with a positive SARS-CoV-2 PCR admission test. Methods: We used a 2-step rRT-PCR specific to the minus strand of the SARS-CoV-2 envelope gene. We reviewed records of patients with a positive SARS-CoV-2 PCR who were also tested for the strand-specific SARS-CoV-2 PCR within 2 days of admission at Stanford Health Care during July 2020–April 2022. We restricted our analysis to each patient’s first test. We calculated the percentage of detectable minus strand-specific tests among asymptomatic patients over time and gathered descriptive statistics for age, sex, and immunocompromised state. Results: In total, 848 admitted patients had strand-specific SARS-CoV-2 assays performed. Of 532 patients with a strand-specific assay done within 2 days of admission, 242 (45%) were asymp
tomatic. Among asymptomatic patients, the mean age was 56 years (range, 19–99), 133 (55%) were male, 50 (21%) had immunocompromising conditions, and 30 (12%) were admitted for a surgical procedure. In total, 21 (9%; range, 4%–25% per quarter) had detectable minus strand-specific assays (Fig. 1). Conclusions: Most asymptomatic patients tested for SARS-CoV-2 on admission were not infectious. Hospitals using SARS-CoV-2 PCR admission testing may need to re-evaluate the continued use of this practice.Fig. 1. Minus strand-specific SARS-CoV-2 assay percentage positivity per quarter among asymptomatic patients tested within 2 days of admission. The peak positivity in November 2021–January 2022 quarter coincided with the SARS-CoV-2 omicron variant surge in our county.Disclosure: None
Hospital-onset COVID-19: Associations with population- and hospital-level measures to guide infection prevention efforts
Authors: Schmitz Emily , Anderson Laura , Hatas Gabrielle , Schweizer Marin , Safdar Nasia , Shirley Daniel 
Published: September 2023

Objective: To characterize hospital-onset COVID-19 cases and to investigate the associations between these rates and population and hospital-level rates including trends in healthcare worker infections (HCW), community cases, and COVID-19 wastewater data. Design: Retrospective cohort study from January 1, 2021, to November 23, 2022. Setting: This study was conducted at a 589-bed urban Midwestern tertiary-care hospital system. Participants and interventions: The infection prevention team reviewed the electronic medical records (EMR) of patients who were admitted for >48 hours and subsequently tested positive for SARS-CoV-2 to determine whether COVID-19 was likely to be hospital-onset illness. Each case was further categorized as definite, probable, or possible based on viral sequencing, caregiver tracing analysis, symptoms, and cycle threshold values. Patients were excluded if there was a known exposure prior to admission. Clinical data including vaccination status were collected from the EMR. HCW case data were collected via our institution’s employee health services. Community cases and wastewater data were collected via the Wisconsin Department of Health Services database. Additionally, we evaluated the timing of changes in infection prevention guidance such as visitor restrictions. Results: In total, 156 patients met criteria for hospital-onset COVID-19. Overall, 6% of cases were categorized as definite, 24% were probable, and 70% were possible hospital-onset illness. Most patients were tested prior to a procedure (31%), for new symptoms (30%), and for discharge planning (30%). Also, 53% were symptomatic and 41% received treatment for their COVID-19. Overall, 38% of patients were immunocompromised and 27% were unvaccinated. Overall, 12% of patients died within 1 month of their positive SARS-CoV-2 test, and 11% required ICU admission during their hospital stay. Hospital-onset COVID-19 increased in fall of 2022. Specifically, October 2022 had 16 cases, whereas fall of 2021 (September–November) only had 3 cases total. Finally, similar peaks were observed in total cases by week between healthcare workers, county cases, and COVID-19 wastewater levels. These peaks correspond with the SARS-CoV-2 delta and omicron variant surges, respectively. Conclusions: Hospital-onset cases followed similar trends as population and hospital-level data throughout the study period. However, hospital-onset rate did not correlate as strongly in the second half of 2022 when cases were disproportionately high. Given that hospital-onset cases can result in significant morbidity, continued enhanced infection prevention efforts and low threshold for testing are warranted in the inpatient environment.Disclosure: None
Assessment of ventilation in low-resource healthcare settings: Montserrado County, Liberia—2022−2023
Authors: Srinivasan Krithika , Arthur Ronan , Styczynski Ashley , Bell Ethan , Baer Thomas , Salinas Jorge 
Published: September 2023

Background: Mitigating the risk of nosocomial respiratory disease transmission in the healthcare facilities of low- and middle−income countries (LMICs) poses unique challenges because mechanical ventilation and mixed−mode strategies are often unavailable. Carbon dioxide (CO2) can serve as a proxy for ventilation and, hence, airborne infectious disease transmission risk in naturally ventilated spaces. We assessed the adequacy of ventilation in Liberian hospitals. Methods: We sampled 3 hospitals, both urban and rural, in Montserrado County, Liberia. Moreover, 3 CO2 meters were concurrently utilized to measure CO2 levels at a 1-meter height in every patient-care room in each facility. We recorded temperature, humidity, room dimensions, and number of people in the rooms. From these variables, we calculated absolute ventilation using the ASHRAE equation to determine areas with the highest risk of nosocomial respiratory disease transmission. We also recorded qualitative observations about the sampled spaces. Results: From August 2022 to February 2023, 39 rooms in 3 healthcare facilities were sampled. Initial quantitative findings show that only 8 rooms (21%) met the WHO-recommended ventilation rate of 60 L per second per person. The average ventilation rate per person in the adequately ventilated settings was 86 L per second per patient, compared to 19 liters per second per patient in inadequately ventilated rooms. Additionally, 467 ppm mean CO2 was noted in well-ventilated rooms compared to 895 ppm mean CO2 in inadequately ventilated rooms.Initial qualitative observations showed that facilities with lower CO2 readings tended to be older constructions that likely had been constructed with airborne disease such as tuberculosis in mind. Willingness to open windows was limited by lack of window screens for malaria prevention, and there was a pervasive fallacy that air conditioning was a source of ventilation. Correspondingly, of the 31 inadequately ventilated rooms, 22 (71%) had operating air conditioning units compared with 4 (50%) of the 8 adequately ventilated rooms. Overall, of the 13 rooms without air conditioning, 7 (54%) were more frequently characterized by open windows compared to only 5 of 26 (28%) of rooms that did have air conditioners. Conclusions: Being prepared for the next respiratory disease outbreak and creating more resilient healthcare systems in LMICs requires a frameshift of prevention strategies. Measuring CO2 provides a simple strategy for identifying areas at highest risk for nosocomial respiratory disease transmission, which can be prioritized for low-cost environmental interventions, such as provision of window screens, as part of routine infection prevention and control efforts.Disclosure: None
Carbapenemase genes and mortality in patients with carbapenem-resistant Enterobacterales, Atlanta, Georgia, 2011–2020
Authors: Witt Lucy , Babike Ahmed , Smith Gillian , Satola Sarah , Sexton Mary Elizabeth , Jacob Jesse 
Published: September 2023

Background: Carbapenemase genes in carbapenem-resistant Enterobacterales (CP-CRE) may be transmitted between patients and bacteria. Reported rates of carbapenemase genes vary widely, and it is unclear whether having a carbapenemase gene portends worse outcomes given that all patients with CRE infections have limited treatment options. Methods: Using active population- and laboratory-based active surveillance data collected by the US CDC-funded Georgia Emerging Infections Program from 2011 to 2020, we assessed the frequency of carbapenemase genes in a convenience sample of CRE isolates using whole-genome sequencing (WGS), and we investigated risk factors for carbapenemase positivity. Only the first isolate per patient in a 30-day period was included. We compared characteristics of patients with CP-CRE and non–CP-CRE. Using multivariable log binomial regression, we assessed the association of carbapenemase gene positivity and 90-day mortality. Results: Of 284 CRE isolates, 171 isolates (60.2%) possessed a carbapenemase gene (Table 1), and KPC-3 was the most common carbapenemase gene (80.7%), with only 7 isolates possessing NDM (Table 2). No isolates possessed >1 carbapenemase gene, and most isolates were from urine (82.4%) (Table 1). Carbapenemase gene positivity was associated with lower age, male sex, black race, infection with Klebsiella pneumoniae, polymicrobial infection, having an indwelling medical device, receiving chronic dialysis, and prior stay in a long-term acute-care hospital, long-term care facility, and/or prior hospitalization in the last year. The 90-day mortality rates were similar in patients with non–CP-CRE and CP-CRE: 24.8% versus 25.7% (P = .86). In multivariable analysis, carbapenemase gene presence was not associated with 90-day mortality (adjusted risk ratio, 0.82; 95% CI, 0.50–1.35) when adjusting for CCI, infection with Klebsiella pneumoniae, and chronic dialysis use. Conclusions: The frequency of CP-CRE among CRE was high in this study, but unlike prior studies, the 90-day mortality rates wer similar in patients with CP-CRE compared to non–CP-CRE. Our results provide novel associations (eg, lower age, male sex, infection with Klebsiella pneumoniae, and indwelling medical devices) that infection preventionists could use to target high-risk patients for screening or isolation prior to CP-CRE detection.Disclosure: None
Overview of infection control in nursing research in Korea over the last 10 years: Text network analysis and topic modeling
Authors: Kim EunJo , Kang JaHyun 
Published: September 2023

Background: With the emergence of new infectious diseases, infection control nursing (ICN) in hospitals has become increasingly significant. Consequently, research on ICN has been actively performed. We examined the knowledge structure and trends addressed in Korean ICN research. Methods: From 5 web-based Korean academic databases (DBpia, KISS, KMbase, KoreaMed, and RISS), 2,244 studies published between 2013 and 2022 were retrieved using ICN-related search terms (eg, “nurse” or “nursing” along with “infection control,” “infection prevention,” “healthcare-associated infection,” or “standard precautions”). After deleting duplicates, the authors assessed titles and abstracts and included 250 research abstracts in this study. Using NetMiner 4.4 software (Cyram, Seoul, Korea), words from abstracts of published articles were extracted and refined, then text network analysis and topic modeling were performed. A text network was structured based on the co-occurrence matrix of key words (semantic morphemes) and was analyzed to identify the main key words. Through topic modeling using the Latent Dirichlet Allocation algorithm, latent topics in the research abstracts were extracted. The authors verified the key words comprising the topic and the result of classifying the documents by topic and named topics. Results: The number of studies, which increased following the outbreak of Middle East respiratory syndrome in 2015, has declined over time but peaked in 2021 with the COVID-19 pandemic. The text network composed of the key words of the research abstracts was generated and visualized (Fig. 1). As a result of text network analysis, the 5 most common key words were ‘nurse,’ ‘infection control,’ ‘nursing care,’ ‘practice,’ and ‘perception’ in terms of degree and betweenness centrality. Other prominent main keywords were also identified: ‘knowledge,’ ‘compliance,’ ‘education,’ ‘intervention,’ ‘intention,’ and ‘safety.’ With the application of topic modeling to the research abstracts, 5 topics were derived and named as follows (Fig. 2): “infection control in nursing care for patient safety,” “infection control measures for healthcare personnel safety,” “burdens and obstacles for infection control among nurses,” “infection control for multidrug-resistant organisms,” and “knowledge, attitude, practice for infection control among nurses.” Conclusions: By applying text-network analysis and topic modeling, we obtained insights into Korean ICN research trends. To explore global ICN research trends, further study is necessary to analyze internationally published studies reflecting each country’s nursing work conditions.Disclosure: None