bluuebunny/crossref_metadata_2025_split huggingface dataset:
Proximal risk pathways of momentary alcohol urges and use: differences based on suicidal ideation history
Authors: Ammerman Brooke A. , Jacobucci Ross 
Published: June 2024

AbstractDespite alcohol use being a proximal risk factor for suicidality, there have been limited examinations of alcohol use risk pathways at the momentary level among those at elevated suicide risk. Thus, we aimed to investigate risk factors relevant to predicting alcohol use experiences among those with and without a history of suicidal ideation. Data from 51 participants with a probable alcohol or substance use disorder across 21 days of ecological momentary assessment was utilized. Participants reported relevant risk factors (i.e., affect, thwarted belongingness, perceived burdensomeness) and alcohol use experiences (i.e., urges, use) four times per day. Group-level analyses examining differences in momentary associations between risk factors and alcohol use experiences based on suicidal ideation history did not detect group differences in predicting alcohol use, but group differences emerged for concurrent and prospective prediction of alcohol urges. Individual-level analyses demonstrated heterogeneity in momentary associations between risk factors, alcohol urge, alcohol use, and suicidal thinking. Together, results demonstrate the role of negative emotion, thwarted belongingness, and perceived burdensomeness in understanding momentary alcohol use experiences. Findings also highlight the complexity of, and significant heterogeneity in, the alcohol use experience among those who have experienced suicidal ideation.
Economic Development and Adolescent Wellbeing in 139 Countries
Authors: Marquez Jose , Casas Ferran , Taylor Laura , De Neve Jan-Emmanuel 
Published: June 2024

AbstractThere is a positive association between the level of economic development and national levels of overall life satisfaction (OLS) in the adult population, with decreasing marginal returns. However, research shows no association in early adolescence and a negative association in middle adolescence. We hypothesize that this is due to the exclusion of low-income countries, where adolescent wellbeing is rarely collected. 2015–2019 Gallup World Poll data from 139 countries in middle adolescence (age 15–17; n 36,907) were analysed using linear regression to study the association between country levels of economic development and OLS, positive emotions (PE), and negative emotions (NE), and how this varies across economic development levels, and gender. Variations across economic development levels were compared with those observed in the adult population. Log per-capita GDP is positively associated with OLS and PE, although in high-income countries no association is observed for PE, and among females for OLS. For NE, a negative association is observed in lower-income countries and a positive association in higher-income countries. In this age group (age 15–17), the log per-capita GDP – OLS association is stronger in lower-income countries than in higher-income countries, but this pattern reverses with age in adulthood. A nuanced relationship exists between economic development and adolescent wellbeing, which varies across measures, levels of economic development, gender, and age -including notable differences compared to adults. Our study highlights the need for improving child and adolescent wellbeing data worldwide, especially in lower-income countries, to better understand how best to support wellbeing globally.
Design of an on-chip wavelength conversion device assisted by an erbium-ytterbium co-doped waveguide amplifier
Authors: Zhou Chen , He Xiwen , Xiao Mingyue , Ma Deyue , Chen Weibiao , Zhou Zhiping 
Published: June 2024

AbstractIn current documented studies, it has been observed that wavelength converters utilizing AlGaAsOI waveguides exhibit suboptimal on-chip wavelength conversion efficiency from the C-band to the 2 μm band, generally falling below −20.0 dB. To address this issue, we present a novel wavelength conversion device assisted by a waveguide amplifier, incorporating both AlGaAs wavelength converter and erbium-ytterbium co-doped waveguide amplifier, thereby achieving a notable conversion efficiency exceeding 0 dB. The noteworthy enhancement in efficiency can be attributed to the specific dispersion design of the AlGaAs wavelength converter, which enables an upsurge in conversion efficiency to −15.54 dB under 100 mW of pump power. Furthermore, the integration of an erbium-ytterbium co-doped waveguide amplifier facilitates a loss compensation of over 15 dB. Avoiding the use of external optical amplifiers, this device enables efficient and high-bandwidth wavelength conversion, showing promising applications in various fields, such as optical communication, sensing, imaging, and beyond.
Graphical Abstract
GATA2 deficiency: a mystery myelodysplasia
Authors: Shoaib Raqiya , Pinckney Ashley , Gawash Ahmed 
Published: June 2024

SummaryGATA2 deficiency, arising from mutations in the GATA2 gene, is a rare genetic disorder with profound implications for hematopoiesis, immune function, and overall health. This case report provides a comprehensive exploration of the clinical manifestations, diagnostic challenges, and management of GATA2 deficiency, emphasizing the importance of early recognition and specialized care. A 55-year-old female presented with a complex clinical presentation that evolved from myalgias into a syndrome of symptoms, including fever, chest pain, dyspnea, and profound weakness. The diagnostic journey involved recurrent admissions, a delay in diagnosis, and the consideration of various differential diagnoses, reflecting the elusive nature of GATA2 deficiency. Pulmonary involvement, hematologic abnormalities, and the patient’s transfer to a specialized center further highlighted the multifaceted aspects of this disorder. This case underscores the diagnostic challenges and clinical heterogeneity of GATA2 deficiency. It emphasizes the need for a high index of suspicion, early diagnosis, and specialized care. The elusive nature of the disorder, pulmonary involvement, and the emergence of hematologic abnormalities exemplify the complexity of GATA2 deficiency. The case report advocates for enhanced awareness, early detection, and the importance of specialized expertise in managing this rare genetic condition.
Importance of a Lake-Wetland Complex for a Resilient Walleye Fishery
Authors: Cutler Logan M. , Chipps Steve R. , Blackwell Brian G. , Coulter Alison A. 
Published: June 2024

AbstractWetlands serve as unique habitats that can support high biodiversity. Large-scale loss of wetland habitats can threaten important linkages between lake and wetland habitats that could affect diversity and growth of aquatic organisms. In this study, we compare prey diversity and abundance as well as Walleye (Sander vitreus) diets and condition in a large glacial lake (Lake Kampeska, South Dakota) with a connected wetland to better understand seasonal changes in the benefits provided by each habitat. We examined seasonal differences (spring, summer, and fall) through two years (summer 2021 through fall 2022) between the habitats using prey fish catch per unit effort, richness, Shannon diversity, and Bray–Curtis dissimilarity as well as Walleye relative weight, percent of empty stomachs, diet weight, stomach fullness, diet energy, and diet taxa importance. The prey fish community was more diverse and abundant in the wetland, and Walleye consumed more prey (by weight) in the wetland during all seasons except spring. Wetland reconnection can be a tool for managers to improve water quality while providing seasonal habitat needs for fish. Additionally, the diversity of prey resources provided by wetlands, many of which are unique, support resilience in the face of ecological change. Protection of wetlands may be critical for maintaining healthy and resilient fisheries into the future.
The things students don’t say: theorising Narrative Identity to understand non-traditional students’ experiences in higher education
Authors: Tilley Myfanwy 
Published: June 2024

Abstract
A persistent challenge for Australian higher education policymakers and researchers has been to understand why policies and practices have met with limited success in widening the participation and attainment of non-traditional students. This paper explores theorising Narrative Identity as a constructive methodological framework for understanding non-traditional students’ experiences in higher education. Using this approach, I critically analyse the contrasting experiences of three non-traditional students who successfully transitioned to university via an enabling program but who had significantly different (and unanticipated) levels of engagement and success in their studies. ‘Transformation’ emerged as a recurring theme in students’ perceptions of becoming academically capable students. Applying a social constructionist lens, I explore the intersections and interactions between discourses of disadvantage and transformation within the context of neoliberal higher education structural discourses. Interview data conveys students’ changing values and behaviours, revealed in their rejection of prior ‘not capable’ identities and performance of their new ‘capable student’ identity. Students’ understandings of self provide insights relevant to the sustainability of their ‘capable student’ identity and, therefore, the quality of their engagement and success. The paper concludes with a consideration of Australian higher education policy and urges greater consideration of identity challenges faced by non-traditional HE students.
Myco-remediation of synthetic dyes: a comprehensive review on contaminant alleviation mechanism, kinetic study and toxicity analysis
Authors: Upadhyay R. , Przystaś W. , Dave B. 
Published: June 2024

AbstractA strong economic foundation can be achieved by the growth of a number of businesses, including food, paper, clothes, leather, and textiles. However, because of improper waste management, industrialization and modernization have resulted in the massive disposal of water effluent laden with harmful substances like dyes and heavy metals, which has negatively impacted the ecosystem. A new green technology called myco-remediation has emerged to battle harmful toxins while promoting sustainable development effectively and economically. This review employed enzymatic degradation, biosorption, and their influencing parameters for optimization in order to highlight the invaluable potential of fungal bioremediation for dye degradation. Current perspectives on enzyme immobilization techniques and kinetic studies of dye removal have been reviewed, which can aid in the selection of quick and effective removal processes. This research offers new insight into a criterion that is often overlooked in favor of dye decolorization efficiency: the toxicity assessment of pure dye and post-process metabolites produced following myco-remediation. Our attention has been directed towards toxicity analysis at many levels, including genotoxicity, phytotoxicity, and zoo-toxicity. This is important to keep in mind when considering the extensive implications of myco-remediation for the recycling and reuse of industrial effluent. Enzyme engineering and omics technologies have been highlighted as potential future developments.
Enabling active visitor management: local, short-term occupancy prediction at a touristic point of interest
Authors: Bollenbach Jessica , Neubig Stefan , Hein Andreas , Keller Robert , Krcmar Helmut 
Published: June 2024

AbstractAfter the temporary shock of the Covid-19 pandemic, the rapid recovery and resumed growth of the tourism sectors accelerates unsustainable tourism, resulting in local (over-)crowding, environmental damage, increased emissions, and diminished tourism acceptance. Addressing these challenges requires an active visitor management system at points of interest (POI), which requires local and timely POI-specific occupancy predictions to predict and mitigate crowding. Therefore, we present a new approach to measure visitor movement at an open-spaced, and freely accessible POI and evaluate the prediction performance of multiple occupancy and visitor count machine learning prediction models. We analyze multiple case combinations regarding spatial granularity, time granularity, and prediction time horizons. With an analysis of the SHAP values we determine the influence of the most important features on the prediction and extract transferable knowledge for similar regions lacking visitor movement data. The results underline that POI-specific prediction is achievable with a moderate relation for occupancy prediction and a strong relation for visitor count prediction. Across all cases, XGBoost and Random Forest outperform other models, with prediction accuracy increasing as the prediction time horizon shortens. For effective active visitor management, combining multiple models with different spatial aggregations and prediction time horizons provides the best information basis to identify appropriate steering measures. This innovative application of digital technologies facilitates information exchange between destination management organizations and tourists, promoting sustainable destination development and enhancing tourism experience.
“It’s Time to see What I Can Do”: A Mixed-Methods Investigation into Trajectories of Resilience in Adolescents during the COVID-19 Pandemic
Authors: Fradley K , Bennett K. M. , Ellis R. E. , Gibson-Miller J. , Bentall R. P. , Levita L. 
Published: June 2024

AbstractThere is a concern that adolescent mental well-being and resilience has been adversely affected by the COVID-19 pandemic. Consequently, the aim of the current investigation was to track adolescents’ resilience from the initial months of the pandemic (T1) to approximately two years later (T2) using both qualitative and quantitative methods. Through interviews, thirty-one adolescents narrated their COVID-19 experiences and reflected on their mental well-being across this timespan. Using these accounts, we identified four groups of adolescents exhibiting one of the following trajectories of resilience: (1) Enduring resilience, (2) Reaching resilience, (3) Declining resilience and (4) Enduring non-resilience. Our findings revealed that most adolescents were able to maintain or develop good resilience on prolonged exposure to COVID-19 adversity (trajectories 1 and 2). This finding is contrary to the prevailing notion that the majority of adolescents’ mental well-being and hence resilience was adversely impacted by COVID-19 in the short and long term. Further qualitative analysis identified key factors that contributed to maintaining and developing greater levels of resilience during the pandemic: quality of friendships, quality of family relationships and regaining a sense of control. Lastly, we found a lack of congruence between quantitative and qualitative measures of mental well-being and resilience, suggesting that they might tap into different constructs/experiences. Significantly, our findings highlight that the majority of teens showed adaptive resilience during the pandemic and highlight the need for further longitudinal qualitative and quantitative research to assess both adaptive and maladaptive impacts of adversity on the adolescents’ mental well-being and resilience.
On the Computation of the Cohomological Invariants of Bott–Samelson Resolutions of Schubert Varieties
Authors: Franco Davide 
Published: June 2024

AbstractLet $$X\subseteq G/\mathcal {B}$$

X
⊆
G
/
B

be a Schubert variety in a flag manifold and let $$\pi : \tilde{X} \rightarrow X$$

π
:

X
~

→
X

be a Bott–Samelson resolution of X. In this paper, we prove an effective version of the decomposition theorem for the derived pushforward $$R \pi _{*} \mathbb {Q}_{\tilde{X}}$$

R

π

∗

Q

X
~

. As a by-product, we obtain recursive procedure to extract Kazhdan–Lusztig polynomials from the polynomials introduced by Deodhar [7], which does not require prior knowledge of a minimal set. We also observe that any family of equivariant resolutions of Schubert varieties allows to define a new basis in the Hecke algebra and we show a way to compute the transition matrix, from the Kazhdan–Lusztig basis to the new one.
Transdisciplinary approaches assessing unmanaged urban green spaces reveal benefits for biodiversity and people
Authors: Engemann Kristine , Breed Christina , Brom Peta , Pasgaard Maya 
Published: June 2024

AbstractRapid urbanization is projected for African cities at the cost of urban green space, which could jeopardize biodiversity and human benefits. Studies focusing specifically on human–green space relationships in the Global South are lacking, and the validity of extrapolating results from studies in the Global North remains questionable and cannot provide local context-specific design solutions. This study combines methods and perspectives from ecology and human geography with landscape design to better understand the benefits for biodiversity and people derived from unmanaged green spaces in the City of Tshwane, South Africa. Based on empirical data from two unmanaged green space areas in disadvantaged communities, we identify benefits for biodiversity and people and define guidelines for inclusive trans-disciplinary interventions. We combine information from a vegetation survey, a community survey of 200 respondents and a rapid assessment of multifunctional benefit provision to formulate in holistic landscape design proposals. We show that the sites have biodiversity value and provide habitat for > 169 different plant species, including protected species, and smaller wildlife. Residents use the spaces for utility, passive and active leisure, and > 76% of residents benefit from the use of these spaces. However, the integrity and provision of benefits from green spaces are threatened by pollution, safety concerns, biological invasions, and land conversion. Context-specific designs could be developed by merging methods across disciplines and involving local stakeholders to integrate the multifunctionality of socioecological benefits into landscape interventions. Collaboration across ecology, human geography and landscape design generates multifunctional perspectives of unmanaged green spaces that consider benefits for biodiversity and disadvantaged communities.
Multiple indicators-based assessment of rural food security status in landslide-prone areas of Southern Ethiopia
Authors: Tadesse Lemma , Uncha Abera , Toma Thomas 
Published: June 2024

AbstractLandslide hazards significantly threaten rural communities, impacting various aspects of livelihoods, including food security. The Gamo Highlands in southern Ethiopia is vulnerable to landslide hazards. Therefore, this research aims to investigate the effect of landslide hazards on rural households’ food security status in the Gacho Baba district, Gamo Highlands, southern Ethiopia. The study employed a mixed approach, to collect and analyze data collected from 289 households, community leaders, and early warning and food security experts. Purposive and multistage sampling techniques were deployed. Both descriptive and inferential statistics were used to analyze the data. Household Food Insecurity Access Scale (HFIAS), Food Consumption Score (FCS), and Reducing Coping Strategies Index (RCSI) were food in/security indicators used. The HFIAS reveals significant worries regarding stable access and availability of food, with 62% of sample households categorized as mildly, moderately, and severely food-insecure. FCS indicates prevalent challenges in achieving adequate food consumption levels among the surveyed households, with a significant portion falling into the poor consumption category (51.3%). while the investigation of coping strategies using RCSI categorized (53.3%) of study samples into high coping strategies. The study also reveals varying levels of awareness and preparedness among households, with a significant proportion expressing uncertainty about landslide occurrence and prevention mechanisms. The findings underscore the need for targeted educational and awareness initiatives, as well as comprehensive risk reduction strategies, to enhance household resilience and safeguard food security in landslide-prone areas.
Comparing the performance of machine learning models for predicting the compressive strength of concrete
Authors: Loureiro Arthur Afonso Bitencourt , Stefani Ricardo 
Published: June 2024

AbstractThis work aimed to investigate and compare the performance of different machine learning models in predicting the compressive strength of concrete using a data set of 1234 compressive strength values. The predictive variables were selected based on their relevance using the SelectKBest method, resulting in an analysis of eight and six predictive variables. The evaluation was conducted through linear correlation studies via simple linear regression and non-linear correlation studies using support vector regression (SVR), random forest (RF), gradient boosting (GB), and artificial neural networks (ANN). The results showed a coefficient of determination (R2) = 0.897 and a root mean square error (RMSE) = 6.535 MPa for SVR, R2 = 0.885 and RMSE = 5.437 MPa for GB, R2 = 0.868 and RMSE = 5.859 MPa for GB and R2 = 0.894 and RMSE = 5.192 MPa for ANN, all for test set and eight predictor variables. The comparison between the machine learning methods revealed significant differences. For instance, ANN stood out with a higher R2 value, demonstrating its remarkable ability to explain the variability in the data. ANN also showed the lowest RMSE value, indicating notable accuracy in the predictions. Although ANN has demonstrated higher performance, GB shows a closer performance, which no differences from a practical application. The choice between these approaches depends on considerations regarding the balance between explainability and accuracy. While GB provides a more in-depth understanding of the relationship between variables, ANN stands out for the accuracy of its predictions.
Implementation of multifaceted diagnostic stewardship for Clostridioides difficile infection during the COVID-19 pandemic at a small Japanese hospital
Authors: Sasaki Yasuhiro , Yano Masataka , Umehara Ayumi , Tagashira Yasuaki 
Published: June 2024

Abstract

Objective:
Clostridioides difficile infection (CDI) is a common, healthcare-associated infection. However, in Japan, testing for CDI is infrequent, suggesting that its incidence may be underestimated. This study aimed to examine the implementation of a multifaceted, diagnostic stewardship (DS) for CDI in a small Japanese hospital during the coronavirus 2019 pandemic.

Design:
Before-after study.

Setting:
A small Japanese community hospital.

Participants:
Healthcare workers including physicians, nurses, and pharmacists.

Interventions:
A multifaceted intervention including (1) the addition of CD testing criteria to the hospital guidelines; (2) provision of a tutorial on CD testing to physicians, nurses, and pharmacists; (3) assessment by clinical pharmacists and nurses of the need for CD testing in patients with nosocomial diarrhea and issuance of recommendations for CD testing to physicians; (4) reporting of data on the CD testing rate and CDI incidence in the study center.

Results:
The CD testing rate increased before the pandemic (+0.16/10,000 patient-days (PD); P = .28), decreased significantly during the pandemic (−0.79/10,000 PD; P = .02), and then increased significantly immediately after the implementation of the intervention (+29.6/10,000 PD; P < .01). Similarly, the CDI incidence increased significantly before the pandemic (+0.26/10,000 PD; P = .02) and decreased significantly during the pandemic (−0.49/10,000 PD; P = .01). Implementation of the intervention resulted in an immediate and significant increase in the CDI incidence (+6.2/10,000 PD; P < .01).

Conclusion:
Multifaceted DS involving multidisciplinary specialists was effective in improving CD testing, suggesting that appropriate testing can contribute to diagnosing CDI accurately.