bluuebunny/crossref_metadata_2025_split huggingface dataset:
Navigating parenthood in the face of amyotrophic lateral sclerosis: A qualitative exploration of partner experiences
Authors: Bergem Anne Kristine , Aamotsmo Trude 
Published: July 2024

AbstractIntroductionAmong people diagnosed with Amyotrophic Lateral Sclerosis (ALS), there are parents with children living at home. Children in families experiencing severe illness are exposed to stress and health risks. Since 2010, healthcare personnel in Norway must assess whether patients have children under 18 years of age and make sure the children's needs for support are met. A child's ability to cope with family life affected by a serious illness depends on how the parent without the disease manages the situation. Little is known about how the partner of someone affected by ALS manages being next of kin and a parent simultaneously, and what kind of support they need.MethodsDuring 2021–2022, six semi‐structured interviews were conducted with partners to persons with ALS, whom had children living at home. The interviews were transcribed verbatim and analysed through qualitative content analysis.ResultsThree themes with subthemes emerged: (1) Together, yet alone; (a) restricted home life, (b) missing the sharing of responsibilities and tasks as equal parents, and (c) caught between children's and partner's needs; (2) Experience of coping while waiting for death; (a) cherishing the moments, (b) sense of coping and concern, and (c) ensuring to get recharged; and (3) Support in times of need; (a) difficult to ask the network for help and (b) the healthcare system does not see the whole family.ConclusionsOur respondents felt alone, caught between the needs of their children and partner, without necessary support from the services, and were left to handle everyday life with all new challenges on their own. Future healthcare services need to consider the challenges faced by families dealing with life‐limiting illnesses. A family‐focused perspective is needed, so is peer support and interventions that address both emotional and practical aspects of life with an ill partner.
Minimax rate of estimation for invariant densities associated to continuous stochastic differential equations over anisotropic Hölder classes
Authors: Amorino Chiara , Gloter Arnaud 
Published: July 2024

AbstractWe study the problem of the nonparametric estimation for the density of the stationary distribution of a ‐dimensional stochastic differential equation . From the continuous observation of the sampling path on , we study the estimation of as goes to infinity. For , we characterize the minimax rate for the ‐risk in pointwise estimation over a class of anisotropic Hölder functions with regularity . For , our finding is that, having ordered the smoothness such that , the minimax rate depends on whether or . In the first case, this rate is , and in the second case, it is , where is an explicit exponent dependent on the dimension and , the harmonic mean of smoothness over the directions after excluding and , the smallest ones. We also demonstrate that kernel‐based estimators achieve the optimal minimax rate. Furthermore, we propose an adaptive procedure for both integrated and pointwise risk. In the two‐dimensional case, we show that kernel density estimators achieve the rate , which is optimal in the minimax sense. Finally we illustrate the validity of our theoretical findings by proposing numerical results.
Hurdle GARCH models for nonnegative time series
Authors: Hudecová Šárka , Pešta Michal 
Published: July 2024

The studied semi‐continuous time series contains a nonnegligible portion of observations equal to a single value (typically zero), whereas the remaining outcomes are strictly positive. A novel class of hurdle GARCH models having dependent zero occurrences is considered and the classical maximum likelihood estimation is employed. However, a distribution of the underlying time series innovations does not belong into the exponential family, which together with the dependence of innovations makes the whole inference nonstandard. Consistency and asymptotic normality of the estimator are derived. Efficiency of the estimation is elaborated and compared with the alternative quasi‐likelihood approach. A bootstrap prediction is also discussed. An analysis of sparse nonlife insurance claims is performed.
Exploring Firm Decision‐Making and Location Strategies in High‐Tech Manufacturing Relocation in Beijing: A Lifecycle Perspective
Authors: Zhang Peiyuan , Li Jiaming , Zhang Wenzhong 
Published: July 2024

AbstractOver the years, much research has focused on industrial relocations between countries resulting from globalisation and industrial modernisation. However, the relocation decisions of individual firms within metropolitan areas remain an insufficiently studied aspect of the relocation literature. This study aims to fill this gap by examining the relocation intentions and locations of high‐tech manufacturing firms at various stages of development in Beijing from the firm life cycle perspective. The results show that larger firms with more employees and higher property income are more willing to relocate. Interestingly, smaller firms do not follow the incubator theory, instead relocating to non‐agglomerated areas. As firms grow, however, they tend to move to areas with higher firm concentration. This indicates that not all industrial clusters in cities function as business incubators. Furthermore, it also confirms the influence of rootedness, regional accessibility and regional policies on the relocation of firms.
Combination of hyperspectral and LiDAR for aboveground biomass estimation using machine learning
Authors: Nik Effendi Nik Ahmad Faris , Mohd Zaki Nurul Ain , Abd Latif Zulkiflee , Abdul Khanan Mohd Faisal 
Published: July 2024

AbstractThe increase in greenhouse gases in the atmosphere is due to carbon dioxide (CO2), which has affected climate change. Therefore, the forest plays an essential role in carbon storage which absorbs the CO2 and releases oxygen (O2) to stabilize the earth's ecosystem. This research aims to estimate aboveground biomass (AGB) using a combination of airborne hyperspectral and LiDAR data with field observation in a tropical forest. The objective of this study is to test the ability of vegetation indices and topographic features derived from hyperspectral and LiDAR data using machine learning for AGB estimation and to identify the best machine learning algorithms for estimating AGB in tropical forest. In this research, artificial neural network (ANN) and random forest (RF) algorithm were used to predict the AGB using different models with different combinations of variables. During model selection, the best model fit was selected by calculating statistical parameters such as the residual of the coefficient of determination (R2) and root mean square error (RMSE). Based on the statistical indicators, the most suitable model is Model 4 using anRF algorithm with mtry = p, and a combination of field observation, LiDAR, hyperspectral, vegetation indices (VIs), and topography. This model produced R2 = 0.997 and RMSE = 30.653 kg/tree. Therefore, using a combination of field observation and remote sensing data with machine learning techniques is reliable in forest management to estimate AGB in tropical forest.
Complete genome sequence of
Pseudomonas aeruginosa
strain NCTR 501 isolated from the inner ear of a laboratory mouse (
Mus musculus
) diagnosed with otitis media
Authors: Kim Sung Guk , Wang Sharon X. , Foley Steve L. 
Published: July 2024

ABSTRACT

We report the circularized 6,427,509-bp genome of
Pseudomonas aeruginosa
isolated from the inner ear of a laboratory mouse (
Mus musculus
) diagnosed with otitis media. The genome of
P. aeruginosa
NCTR 501 has a circular chromosome of 6,420,288 bp and two plasmids of 4,042 and 3,179 bp, respectively.
Eight genome sequences of bacterial, environmental isolates from Canada Glacier, Antarctica
Authors: Smith Heidi J. , Dieser Markus , Foreman Christine M. 
Published: July 2024

ABSTRACT

Sediments in cryoconite holes and meltwater streams in the McMurdo Dry Valleys, Antarctica, provide both substrates and conditions that support life in an arid polar desert. Here, we report the genomic sequences of eight environmental, bacterial isolates from Canada Glacier cryoconite holes and stream. These isolates span three major phyla.
Unraveling the association between gut microbiota and chemotherapy efficacy: a two-sample Mendelian randomization study
Authors: Jia Zixuan , Liu Xiufeng , Liao Wei 
Published: July 2024

ABSTRACT

Emerging evidence has underscored the complex link between gut microbiota and chemotherapy efficacy; however, establishing causality remains elusive due to confounding factors. This study, leveraging bidirectional two-sample Mendelian randomization (MR) analyses, explores the casual relationship between gut microbiota and chemotherapy efficacy. Utilizing genome-wide association study (GWAS) data from the MiBioGen consortium for gut microbiota and IEU Open GWAS for chemotherapy efficacy, we employed genetic variants as instrumental variables (IVs). The inverse variance weighted (IVW) method, weighted median estimator (WME), and MR-Egger regression method were applied, with sensitivity analyses ensuring robustness. Furthermore, we conducted reverse MR analyses between chemotherapy efficacy and identified significant gut microbial taxa. The results indicated that
genus Butyricicoccus
(OR = 3.7908, 95% CI: 1.4464–9.9350,
P
= 0.01),
Dorea
(OR = 3.3295, 95% CI: 1.2794–8.6643,
P
= 0.01),
Hungatella
(OR = 2.6284, 95% CI: 1.0548–6.5498,
P
= 0.04), and
Turicibacter
(OR = 2.5694, 95% CI: 1.0392–6.3526,
P
= 0.04) were positively associated with chemotherapy efficacy using the IVW method. Conversely,
family Porphyromonadaceae
(OR = 0.2283, 95% CI: 0.0699–0.7461,
P
= 0.01) and
genus Eggerthella
(OR = 0.4953, 95% CI: 0.2443–1.0043,
P
= 0.05) exhibited negative associations. WME demonstrated consistent results with IVW method only for
genus Eggerthella
(OR = 0.3343, 95% CI: 0.1298–0.8610,
P
= 0.02). No significant heterogeneity or horizontal pleiotropy was observed. Reverse MR analyses revealed no significant causal effect of chemotherapy on identified gut microbiota. This study sheds light on the intricate relationship between gut microbiota, with a particular emphasis on the
genus Eggerthella
, and chemotherapy efficacy, offering valuable insights for refining cancer treatment strategies.

IMPORTANCE

Global advancements in cancer treatment, particularly in chemotherapy, have notably decreased mortality rates in recent years. However, the correlation between gut microbiota and chemotherapy efficacy remains elusive. Our study, emphasizing the role of
genus Eggerthella
, represented a crucial advance in elucidating this intricate interplay. The identified associations offer potential therapeutic targets, contributing to global efforts for enhanced treatment precision and improved patient outcomes. Furthermore, our findings hold promise for personalized therapeutic interventions, shaping improved strategies in the ever-evolving landscape of cancer treatment.
A colorimetric biosensor with infrared sterilization based on CuSe nanoparticles for the detection of
E. coli
O157:H7 in food samples
Authors: Guo Yulan , Zhao Jinbin , Ma Xueer , Cai Ming , Liu Shitong , Sun Chunmeng , Chi Yuyang , Xu Kun 
Published: July 2024

ABSTRACT

It is critical to develop quick, accurate, and efficient sterilization for detecting
Escherichia coli
O157:H7 in order to prevent infections and outbreaks of foodborne illnesses. Herein, we established a colorimetric biosensor with sterilizing properties using copper selenide nanoparticles to detect
E. coli
O157:H7. The sample was mixed with magnetic nanoprobes and nanozyme probes to form a sandwich structure, and then the unbound nanozyme probes were collected by magnetic separation. Finally, the 2,2′-azino-bis(3-ethylbenzothiazoline-6-sulfonate)-hydrogen peroxide (H
2
O
2
) reporting system was added for signal amplification. The change from colorless to green can be seen with the naked eye. Under the optimal conditions, the detection range of
E. coli
O157:H7 was 10
2
–10
6
CFU/mL, and the detection limit was 0.35 × 10
2
CFU/mL. The total detection time was 80 minutes, which can be successfully applied to milk and mineral water. In addition, the colorimetric sensor can kill the target bacteria by irradiating it under a 980-nm laser for 5 minutes. In conclusion, this sensor is a promising tool for rapidly detecting foodborne pathogens and promptly eliminating bacteria.

IMPORTANCE

Escherichia coli
O157:H7 is a major threat to public health. At present, the detection methods for
E. coli
O157:H7 mainly include traditional bacterial culture, immunology (enzyme-linked immune-sorbent assay) and molecular biology techniques (polymerase chain reaction). These methods have the limitations of professional operation, waste of time and energy, and high cost. Therefore, we have developed a simple, fast, bactericidal colorimetric biosensor to detect
E. coli.
O157:H7. The entire process was completed in 80 minutes. The method has been successfully applied to milk and mineral water samples with satisfactory results, proving that the method is an effective method for real-time detection and inactivation of bacteria.
Supporting victim-survivors during investigations of health practitioner misconduct: early learnings from a trauma-informed service
Authors: Evans Jacinta , Piech Katherine , Saar Eva , Anderson Sarah 
Published: July 2024

ObjectiveIn 2021, the Australian Health Practitioner Regulation Agency established a support service to provide additional assistance to victim-survivors involved in complaints related to sexual boundary violations. This study evaluates the first stages of service delivery to understand participants’ experiences with the service, gauge the service’s reception, and improve support provided in future.DesignProgramme data was analysed descriptively to understand uptake and participant engagement since inception. Semistructured interviews with a purposive convenience sample of participants who had recently completed service engagement were conducted over 6 months and analysed using reflexive thematic analysis. Findings were triangulated to judge the effectiveness of the support provided by the service and highlight learning and development opportunities.ResultsDuring the study period, 275 participants were referred to the programme and 175 (64%) of those referred had engaged with the service. At the time of analysis, less than a quarter (21%) had refused support or disengaged following referral. Participants reported appreciation of and satisfaction with the support they received from the service and strongly reiterated the need for support in this context. Flexibility and quality communication as part of the service model was associated with participants feeling supported through three main themes: safety and connection, guidance and process navigation and representation and advocacy.ConclusionGood uptake of the service and positive feedback from participants suggests that the programme has been a valuable and well-received initiative. Exploration of engagement trends as well as a more nuanced analysis of the benefits of support provided would augment these findings.
Leadership development programmes in healthcare research: a systematic review, meta-analysis and meta-aggregation
Authors: Kingsley-Smith Harry , Farrier Christian E , Foran Daniel , Kotze Koot , Mahtani Kamal , Short Sarah , Scott Anna Mae , Lyons Oscar 
Published: July 2024

BackgroundAcademic institutions benefit from researchers adopting leadership positions and, subsequently, leadership development programmes are of increasing importance. Despite this, no evaluation of the evidence basis for leadership development programmes for healthcare researchers has been conducted. In this study, the authors reviewed leadership development programmes for healthcare researchers and aimed to identify their impact and the factors which influenced this impact.MethodsThe authors searched MEDLINE, EMBASE, CINAHL and PsycINFO between January 2000 and January 2023 for evaluations of leadership development programmes with healthcare researchers. The authors synthesised results through exploratory meta-analysis and meta-aggregation and used the Medical Education Research Study Quality Instrument (MERSQI) and Joanna Briggs Institute (JBI) Checklist for Qualitative Studies to identify higher-reliability studies.Results48 studies met inclusion criteria, of which approximately half (22) met the criteria for higher reliability. The median critical appraisal score was 10.5/18 for the MERSQI and 3.5/10 for the JBI. Common causes of low study quality appraisal related to study design, data analysis and reporting. Evaluations principally consisted of questionnaires measuring self-assessed outcomes. Interventions were primarily focused on junior academics. Overall, 163/168 categorised programme outcomes were positive. Coaching, experiential learning/project work and mentoring were associated with increased organisational outcomes.ConclusionEducational methods appeared to be more important for organisational outcomes than specific educational content. To facilitate organisational outcomes, educational methods should include coaching, project work and mentoring. Programmes delivered by external faculty were less likely to be associated with organisational outcomes than those with internal or mixed faculty, but this needs further investigation. Finally, improving evaluation design will allow educators and evaluators to more effectively understand factors which are reliably associated with organisational outcomes of leadership development.
Building towards organisational resilience and complexity leadership: a case study of impacts and changes in a Dutch blood establishment during COVID-19
Authors: Langi Sasongko Praiseldy K , Janssen Mart , de Bruijne Martine 
Published: July 2024

ObjectivesThis study examined how one large blood-related establishment coped and adapted during the first 1.5 years of the pandemic by evaluating the impacts and changes on its resources, communication, collaborations, and monitoring and feedback. Furthermore, we explored whether elements of complexity leadership emerged during this time.DesignDuchek’s organisational resilience framework was primarily used. We followed a three-step sequential approach: (1) a document analysis of over 150 intranet, internet and internal reports; (2) 31 semistructured interviews with employees and (3) four feedback sessions.SettingSanquin is known as the Dutch national blood bank and a large multidivisional expertise organisation in the Netherlands.ResultsSanquin coped well. Respondents accepted the crisis and catalysed many collaborations to implement solutions, which were communicated to the public. There were many positive aspects related to internal collaborations, yet challenges remained related to its historical siloed structure and culture. Sanquin adapted partially. Many respondents experienced the organisation becoming more connected and flexible during the pandemic. However, Sanquin was not permanently changed due to significant leadership changes and organisational restructuring occurring simultaneously. Respondents reflected on lessons learnt, including the need for continual collaboration and improvements in Sanquin’s culture. An important driver in the successful coping was management’s enabling attitude and the adaptations occurring within and through the collaborative groups.ConclusionsSanquin improved its organisational resilience by exhibiting elements of adaptive spaces, enabling leadership and (temporary) emergence from complexity leadership. This illuminates how the organisation could continue benefiting from complexity leadership for non-crises and for future uncertainties.
Primary Conjunctival Basal Cell Carcinoma Mimicking an Ocular Surface Squamous Neoplasia in a Young Adult Filipino: A Case Report and Literature Review
Authors: Mangahas Lorenz Jacob , Reyes Rowena Wea , Siazon Richmond 
Published: July 2024

Objective: To describe the morphological and histopathological features of primary conjunctival basal cell carcinoma (BCC) in a young adult Filipino.Introduction: Malignant conjunctival tumors arise from different cells, the most common of which are squamous cell carcinomas (SCCs), (including ocular surface squamous neoplasia [OSSN]), melanomas, and lymphomas. Primary conjunctival BCC is rare and can mimic the clinical features of OSSN. Only seven reported cases were published. Most cases are in the 6th–8th decades of life, and we report the first case in a young adult male.Case Summary: A 37/M, HIV‐seronegative, presenting with a 3‐year history of enlarging fleshy, pedunculated mass on the right eye measuring 8.5 mm × 8.0 mm at the superonasal limbus encroaching on the cornea, with prominent feeder vessels. Whitish‐to‐grayish plaques were observed on the surface of the lesions. Wide excision of the mass using the no‐touch technique was performed under local anesthesia. Four cycles of mitomycin C (0.02%) were administered as chemoadjuvant therapy. Histopathology showed basaloid cells with peripheral palisading, most consistent with BCC. Immunohistochemistry was positive for Bcl‐2 and CD10 markers and negative for epithelial membrane antigen (EMA) and carcinoembryonic antigen (CEA), confirming conjunctival BCC. Eight weeks postoperatively, fibrovascular tissue proliferation was noted at the excision site. Anterior segment‐optical coherence tomography (AS‐OCT) revealed a thickened hyperreflective band that was continuous with the epithelium, indicating possible recurrence. Resection with rush frozen section revealed fibrotic tissue that was negative for tumor cells. The bare sclera was covered with conjunctival autograft. There was no recurrence of the lesion after 16 months of follow‐up.Conclusion: Primary BCC of the conjunctiva is rarely encountered, especially in young individuals, mimicking squamous neoplasia both in morphology and histopathology. Therefore, this should be considered in the differential diagnosis of OSSN. Immunostaining is crucial in differentiating between the two conditions and confirming the diagnosis. In most cases, wide surgical excision is sufficient. In addition, adjuvant therapies may be beneficial in preventing tumor recurrence.