bluuebunny/crossref_metadata_2025_split huggingface dataset:
Nursing students’ attitudes and intentions towards seeking professional psychological help: the mediating role of emotional intelligence
Authors: Alqhtani Samirh Said , Aldhafeeri Nouf Afit , Alotaibi Lina , Alanzi Huda , Alshamrani Wafa , Alqhtani Norah , Selim Abeer 
Published: February 2025

Abstract

Background
It has been proposed that nursing students experience emotional and mental issues due to their educational demands, which influence their academic success. This study aims to explore the relationship between students’ attitudes and intentions toward seeking professional psychological help and focus on exploring a mediating role of emotional intelligence.

Methods
This study used a descriptive correlational design. A convenience sample was used to recruit 514 undergraduate nursing students in the central region of Saudi Arabia. Data were collected using self-administered tools from three nursing colleges. Data were analyzed using both descriptive, inferential, and structural equation modeling statistics.

Results
The current study results indicate that university students had moderate positive attitudes, moderate positive intentions toward seeking help for mental health concerns, and a positive level of emotional intelligence. Attitudes toward seeking help and emotional intelligence had a significant positive relationship on professional mental help-seeking intentions. Other factors that predict students’ intention to seek help include the history of consulting a mental health professional and students who were unsure of the availability of the on-campus counseling center (p <.001). Emotional intelligence has a significant mediation effect on the relationship between mental help-seeking intention and mental help-seeking attitudes toward professional psychological help.

Conclusions
Based on the results, students with emotional intelligence and positive attitudes toward seeking mental help were significantly correlated to their intentions of seeking professional mental help. This study proposes the importance of implementing interventional programs to increase nursing students’ intentions to use the university counseling center for optimum mental health and well-being.
Comparison of artificial intelligence and logistic regression models for mortality prediction in acute respiratory distress syndrome: a systematic review and meta-analysis
Authors: He Yang , Liu Ning , Yang Jie , Hong Yucai , Ni Hongying , Zhang Zhongheng 
Published: February 2025

Abstract

Background
The application of artificial intelligence (AI) in predicting the mortality of acute respiratory distress syndrome (ARDS) has garnered significant attention. However, there is still a lack of evidence-based support for its specific diagnostic performance. Thus, this systematic review and meta-analysis was conducted to evaluate the effectiveness of AI algorithms in predicting ARDS mortality.

Method
We conducted a comprehensive electronic search across Web of Science, Embase, PubMed, Scopus, and EBSCO databases up to April 28, 2024. The QUADAS-2 tool was used to assess the risk of bias in the included articles. A bivariate mixed-effects model was applied for the meta-analysis. Sensitivity analysis, meta-regression analysis, and tests for heterogeneity were also performed.

Results
Eight studies were included in the analysis. The sensitivity, specificity, and summarized receiver operating characteristic (SROC) of the AI-based model in the validation set were 0.89 (95% CI 0.79–0.95), 0.72 (95% CI 0.65–0.78), and 0.84 (95% CI 0.80–0.87), respectively. For the logistic regression (LR) model, the sensitivity, specificity, and SROC were 0.78 (95% CI 0.74–0.82), 0.68 (95% CI 0.60–0.76), and 0.81 (95% CI 0.77–0.84). The AI model demonstrated superior predictive accuracy compared to the LR model. Notably, the predictive model performed better in patients with moderate to severe ARDS (SAUC: 0.84 [95% CI 0.80–0.87] vs. 0.81 [95% CI 0.77–0.84]).

Conclusion
The AI algorithms showed superior performance in predicting the mortality of ARDS patients and demonstrated strong potential for clinical application. Additionally, we found that for ARDS, a highly heterogeneous condition, the accuracy of the model is influenced by the severity of the disease.
Enhancing thermostability of Moloney murine leukemia virus reverse transcriptase through greedy combination of multiple mutant residues
Authors: Yang Youhui , Zhang Jie , Li Zhong , Qi Hao 
Published: February 2025

Abstract
Reverse transcription is crucial in bioengineering and biomedical fields, particularly for genome sequencing and virus diagnosis. Enhancing the thermostability of reverse transcriptase can significantly improve its efficiency and accuracy by enabling it to function at higher temperatures, thereby reducing RNA secondary structures and minimizing interference from contaminating enzymes, particularly in clinical samples. Here, using a combinatorial strategy, a variant of Moloney Murine Leukemia Virus reverse transcriptase (MMLV RT) with improved activity across a wide temperature range (30–50 °C) was identified and maintained 100% activity after incubation at 50 °C for 10 min. Eleven hot-spot residues were mutated in various combinations, and the mutant proteins were rapidly expressed in a cell-free system for reverse transcription activity testing. Variant M5, which carries five mutated residues (E47K/E280R/T284R/L413G/D631V), exhibited enhanced thermostability and activity compared to any variant with a single residue mutation. Using purified recombinant protein for precise characterization, the melting temperature (Tm) of M5 increased by 4.7 °C when assembled with a nucleotide template-primer (T/P). Consequently, the half-life of M5 at 50 °C extended to approximately 60 min, in contrast to less than 4 min for the wild type. These findings demonstrate that the epistasis of combining multiple mutant residues holds excellent potential for significantly enhancing enzyme activity, even with existing knowledge. This heat-stable MMLV RT variant M5 may potentially improve efficiency and accuracy in molecular biology research and clinical diagnostics.
Mapping of prostate cancer microvascular patterns using super-resolution ultrasound imaging
Authors: Butler Mairead B. , Papageorgiou Georgios , Kanoulas Evangelos D. , Voulgaridou Vasiliki , Wijkstra Hessel , Mischi Massimo , Mannaerts Christophe K. , McDougall Steven , Duncan William Colin , Lu Weiping , Sboros Vassilis 
Published: February 2025

Abstract

Background
Super-resolution ultrasound imaging (SRUI) is a rapidly expanding field with the potential to impact cancer management. Image processing algorithms applied to contrast-enhanced ultrasound (CEUS) video data can track the path of the contrast agent and produce high-resolution maps of vascular networks. Our aim was to develop SRUI for mapping prostate vascular dynamics and to assess the feasibility of identifying vascular patterns associated with prostate cancer.

Methods
Tracking algorithms for SRUI were developed using in silico data and validated in pre-clinical CEUS video collected from the sheep ovary. Algorithm performance was then assessed in a retrospective study of 54 image planes within 14 human prostates. CEUS data was collected for each plane, and regions of suspected cancer in each were identified from biopsy data.

Results
Of three algorithms assessed, utilising vascular knowledge was found to be the most robust method. Regions of suspected cancer were associated with increased blood flow volume and speed while avascular regions were also identified. Ten scan planes had confirmed Gleason 7 cancer; of these 10 planes, 7 had distinct regions of fast and high-volume flow, while 6 had both avascular and high flow regions. The cancer-free planes had more consistent, low blood flow values across the plane.

Conclusion
SRUI can be used to identify imaging biomarkers associated with vascular architecture and dynamics. These multiparameter biomarkers may be useful in pinpointing regions of significant prostate cancer.

Relevance statement
Super-resolution ultrasound imaging can generate microvascular maps of the prostate, revealing tissue patterns and presenting significant potential for the identification of multiple biomarkers associated with the localisation of prostate cancer.

Trial registration
Retrospectively registered NCT02831920, date 5/7/2016 https://www.clinicaltrials.gov/study/NCT02831920.

Key Points

An algorithm was developed and tested in synthetic pre-clinical and clinical data.

Maps of blood vessels were created using contrast-enhanced ultrasound imaging.

Specific presentations of vasculature at regions of prostate cancer have been identified.

Graphical Abstract
Orthogonal GHz harmonic dual-comb generation in monolithic fiber cavity for acquisition speed multiplication
Authors: Wang Guorui , Ding Zixuan , Xu Fei 
Published: February 2025

Abstract
Asynchronous dual-comb generated in single laser cavity offer potent tools for simplified coherent measurements, owing to the common mode rejection which spares the sophisticated locking systems. However, the limited dimensional inhomogeneity in monolithic cavity induces relatively small repetition-rate-difference, hindering high-speed measurements. Here, a monolithic linear fiber laser with integrated multifunctional device employing polarization multiplexing is proposed and demonstrated for dual-comb acquisition speed enhancement. By tuning the inherent polarization-dependent degrees of freedom within the device, optical intensity distribution between orthogonal polarizations can be finely manipulated, thus boosting controllable asynchronous harmonic mode-locking. The two sets of harmonic mode-locked pulses enable the multiplication of the equivalent repetition-rate-difference and produce more temporal interferograms via least common multiple principles. With a fundamental-repetition-rate of 383 MHz, harmonic-repetition-rate up to 2.3 GHz and acquisition speed over 244 kHz are obtained in experiments, faster by 2 orders of magnitudes than previous single-fiber-cavity dual-combs. Equivalent repetition-rate-difference up to 400 kHz is also achieved with shorter laser cavity. This orthogonally polarized GHz harmonic dual-comb laser offers insights for a novel dual-comb generation paradigm and provides a single-fiber-integrated solution for acquisition boosting in wide measurement applications.
Prediction of the sound absorption performance for micro-perforated panel based on machine learning
Authors: Yuan Binxia , You Tianqi , Jiang Huanhuan , Qian Hong , Cao Lan , Zhu Rui 
Published: February 2025

Abstract
The sound absorption coefficient is a crucial indicator of the sound absorption performance of micro-perforated panels. Achieving data-driven predictions for micro-perforated panels is of significant importance for selecting panels with ideal sound absorption properties. In the paper, the dataset is established for the structure and sound absorption coefficient of perforated panels. The structural parameters of perforated panels include plate thickness, cavity depth, and perforation ratio. Each sound absorption coefficient curve needs to be discretized during dataset construction. Six feature frequencies, including 100, 200, 300, 400, 500, and 600 Hz, are taken. The importance index across the six frequencies is analyzed by the RF model. Subsequently, GA-SVR, PSO-SVR, CNN, and RF four models are employed to conduct comparative predictive analysis on the 2000 dataset. The prediction performance, stability, and generalization ability of the four predictive models are evaluated using R
2, MAE, and RMSE. The results indicate the GA-SVR model demonstrates the best predictive capability across all frequencies on both the training and test sets.
Socioeconomic Burden of Ovarian Cancer in 11 Countries
Authors: Hutchinson Brian , Euripides Mikis , Reid Frances , Allman Gavin , Morrell Lily , Spencer Garrison , Ilbawi Andre , Meheus Filip , Gaafar Hesham , Casolino Raffaella 
Published: February 2025

PURPOSE
Ovarian cancer remains among the most aggressive tumors with the lowest survival probability. Projections are that ovarian cancer will claim more than 8 million lives between 2022 and 2050 without better prevention or control measures.

METHODS
We built an Excel-based instrument that uses a prevalence-based cost-of-illness approach and a societal perspective to estimate the burden of ovarian cancer. The instrument leverages data from editions of the World Ovarian Cancer Coalition's Every Woman Study, contains a micro-costing framework to assess the resources and costs of providing care, and uses data from novel systematic reviews and meta-analyses conducted to estimate the effect of ovarian cancer on patient labor productivity outcomes and the time caregivers devote to caring for people living with the disease.

RESULTS
Across 11 countries, we estimated US dollars 70 billion in socioeconomic losses attributable to ovarian cancer. Health expenditures to cover treatment in the first 2 years after diagnosis were 7, 41, and 118 times total health spending per capita in high-, upper-middle-, and low- and lower-middle countries, respectively. Patients spent 3,663 years traveling to or receiving treatment. Women lost labor productivity equivalent to 2.5 million workdays due to ill-health from ovarian cancer, and 9,403 women living with ovarian cancer or survivors were estimated to be missing from the workforce. Caregivers spent 17,112 person-years providing practical support to patients—an average of 33 days per woman living with ovarian cancer.

CONCLUSION
This study is the first to quantify the social and economic burden of ovarian cancer in 11 countries and highlights its significant cost and defines actions needed to improve ovarian cancer outcomes.
Scoping Review of the Impact of Culture on the Effectiveness of Quality Improvement Programs
Authors: Pinto Carlos Frederico , Jones Robin , Gutierrez-Delgado Francisco , Tomkins Julia , Santos Neto Martins Fideles 
Published: February 2025

PURPOSE
Cultural differences and their effect on international collaboration have been studied in several industries but only recently in health care. Understanding these differences can significantly influence the outcomes of ASCO's international co-operation initiatives focused on quality improvement.

METHODS
This manuscript is a scoping literature review examining how cultural differences influence the quality and safety of oncology care, and what strategies can be implemented to improve quality and outcomes in multicultural settings using cultural traits outlined by Hofstede's dimensions of culture. Power distance index (PDI; the ability to speak up without embarrassment) emerged in other industries as the most relevant trait affecting quality and team performance.

RESULTS
Few publications are available addressing such perspective, and the literature to date revealed that cultures with small PDI tend to perform better in health care safety and quality, and leadership behavior is a dominant feature in this condition. New techniques adopting psychological safety practices can mitigate cultural traits like PDI that hinder quality practices in oncology.

CONCLUSION
The authors consider that psychological safety practices are a culturally sensitive strategy to ASCO's Quality Programs that can mitigate local cultural barriers and develop leadership behaviors that enable safety and quality strategies, and foster more effective international collaboration in ASCO Quality Programs in the future.
Perspectives of Lymphoma Survivors and Oncology Care Providers on Survivorship Care: A Qualitative Study
Authors: Ferrante Jeanne M. , Macenat Myneka , Howard Jenna , Patel Nimi , Mahesh Jaanvi , Bissett Meghan , Peram Jacintha J. , Solleder Justin D. , Grosso Marissa , Hudson Shawna V. , O'Malley Dena , Devine Katie A. , Matasar Matthew , Evens Andrew M. , Manne Sharon L. 
Published: February 2025

PURPOSE
To explore lymphoma survivors' care experiences and needs post-treatment and to determine optimal information and services for a lymphoma survivorship program from the perspectives of both survivors and oncologists.

METHODS
We conducted in-depth semi-structured interviews with 32 lymphoma survivors and 13 lymphoma oncology providers. Interviews were analyzed using a template organizing style and iterative immersion/crystallization analysis of retrieved coded segments. Our thematic analysis focused on identifying commonalities and variations of themes related to lymphoma survivors' post-treatment needs, transition from oncology to primary care, and survivors' and providers' recommendations for improving survivorship care for patients with lymphoma.

RESULTS
Three main themes emerged. (1) A predominant unmet need was how to manage the profound fear of recurrence and anxiety post-treatment. Survivors desired more information about signs and symptoms of recurrence and reassurance from their cancer team. (2) There were diverse views regarding the importance of transition from oncologist to primary care providers. Some survivors and oncologists did not value the importance of transitioning to primary care, whereas others recognized the need for primary care but found difficulty with accessing primary care. (3) Psychosocial support, wellness services, and assistance with financial and employment programs are needed for an ideal survivorship program.

CONCLUSION
This study provides critical insights into optimal survivorship care for patients with lymphoma. Further research is needed to better understand cost-effective models of care for this unique and complex population of lymphoma survivors.
Geckos running with dynamic adhesion: towards integration of ecology, energetics and biomechanics
Authors: Higham Timothy E. , Russell Anthony P. 
Published: February 2025

ABSTRACT
Morphological specializations often enable animals to deal with challenges in nature, a prime example being the adhesive system of geckos. With this, geckos can access smooth and vertical (and even inverted) areas of the habitat that most other animals cannot. However, what is known about how geckos cling stems primarily from laboratory studies of static adhesion, with an emphasis on the integumentary component of the adhesive apparatus. In reality, the system is hierarchical, with complex musculotendinous, vascular and sensory systems that are crucial for achieving attachment, modulation of attachment strength and ultimately, detachment. Experiments examining these additional components are virtually non-existent. Additionally, there is a paucity of information about the surfaces on which geckos move, how geckos move in their natural habitat and how the adhesive system is controlled during running over complex surfaces. It is unclear whether having an adhesive system reduces the energetic costs of running compared with lizards that lack the system. We propose a complimentary set of laboratory and field studies to fill major gaps in our understanding of gecko adhesion and locomotion. Key outstanding questions are: (1) How does surface structure influence locomotion? (2) How might geckos modulate adhesion through physiological mechanisms? (3) How do geckos locomote in complex natural habitats that vary in structural properties? (4) What are the underlying energetic costs of moving dynamically in nature with an adhesive system? We address these questions and generate a roadmap for future work, including the framing of testable hypotheses. The results of such studies will help us to understand the evolution of fast locomotion in small ectothermic vertebrates and the energetic costs of moving in complex habitats. In addition, they may inform the development of small adhesive robots.
Integrating biomechanics, energetics and ecology perspectives in locomotion
Authors: Biewener Andrew A. , Wilson Alan M. 
Published: February 2025

ABSTRACT
Scientific fields evolve a culture and vocabulary that create a group identity but may result in reduced understanding by people in apparently adjacent but different fields. Here, a series of articles written by scientists active in biomechanics, energetics and ecology relevant to locomotion forms the basis of researchers striving to bridge those divides and providing a common language and perspective.
The Impact of Preoperative Invasive Nodal Staging on Unexpected Mediastinal Upstaging in Early-Stage Non-small Cell Lung Cancer
Authors: Banks Kian C. , Sarovar Varada , Sun Angela , Wile Rachel K. , Barnes Katherine E. , Velotta Jeffrey B. 
Published: February 2025

Abstract

Introduction
Preoperative invasive nodal staging is standard of care for early-stage non-small cell lung cancer (NSCLC). Complications and delays in care are not negligible and diagnostic accuracy varies. In our system, invasive nodal staging is performed for clear radiographic indications (node > 1.0 cm short axis or standardized uptake value > 3.0, tumor > 4.0 cm). This study assessed whether unexpected mediastinal upstaging was less common in patients receiving preoperative invasive nodal staging.

Methods
This retrospective study evaluated nodal upstaging, defined as pathological N2 or IIIA+ disease, based on receipt or non-receipt of invasive nodal staging. Clinical stage I–II NSCLC patients who underwent resection (2009–2019) were identified from our cancer registry. Stage and preoperative nodal staging information were confirmed through chart review. Associations between patient characteristics, invasive nodal staging receipt, and clinical to pathological stage changes were analyzed.

Results
Among 2576 patients, 18.7% (n = 481) underwent invasive nodal staging. After resection, 6.2% of all patients had nodal upstaging and 24.9% had TNM upstaging. Only 0.3% (n = 9) were upstaged to N2 and 0.5% (n = 13) were upstaged to IIIA+. Lack of preoperative nodal sampling was not associated with N2 or IIIA+ upstaging. Findings were consistent in subanalyses of patients with surgical specimens meeting Commission on Cancer nodal sampling criteria and with clinical IB+ disease.

Conclusions
Although most patients did not undergo invasive nodal staging, <1% had unexpected N2 on surgical pathology. There was no association between lack of preoperative invasive nodal sampling and N2 nodal upstaging. Preoperative invasive nodal staging did not increase pathologic N2 nodal upstaging in early-stage NSCLC patients in our integrated health system.