bluuebunny/crossref_metadata_2025_split huggingface dataset:
Post-therapeutic support and rehabilitation for breast cancer women in complete remission in a thermal resort: study protocol for the PACThe Real-Life conditions observational trial
Authors: Godiveau Mélanie , Passildas Judith , Thivat Emilie , Casile Mélanie , Pinard Céleste , Giro Alexia , Mouret-Reynier Marie-Ange , Molnar Ioana , Abrial Catherine , Bouvier Claude-Eugène , Bignon Yves-Jean , Durando Xavier 
Published: January 2025

Abstract

Background
Over the past twenty years, the post-cancer rehabilitation has been developed, usually in a hospital setting. Although this allows better care organization and improved security, it is perceived as stressful and restrictive by the “cancer survivor”. Therefore, the transfer of benefits to everyday life is more difficult, or even uncertain. Staying in a thermal resort seemed to offer a good compromise: the security and structure of centralized reception in a thermal resort for treatment and medical supervision, and accommodation in a hotel with full dietary board. It combines institutional quality and security with the freedom of real life and the dynamics of a group formed under innovative conditions. This rehabilitation procedure was tested with the program PACThe (Program of Accompanying women after breast Cancer treatment completion in Thermal resorts) which was evaluated at one year in a randomized controlled trial involving 251 patients [1] and at five years in another study [2]. The results shown a significative improvement in many areas such as quality of life, functional abilities and sleep. The aim of this study is therefore to confirm the benefits of the PACThe program at six months for breast cancer women in complete remission in real-life conditions.

Methods
The project PACThe Real-Life conditions is an observational trial in which 400 breast cancer women in complete remission will be sent to a 3 week thermal “post-cancer rehabilitation” program. Primary objective is to assess the quality of life until 12 months. The outcome will be measured with the self-questionnaire SF-36 [3] at five timepoints (inclusion visit, end of thermal resort, 6 months post-cure, 12 months post-cure and 18 months post-cure). The duration of patient participation in the study will therefore be 18 months. The main analysis will consist of comparing the SF-36 global score at 6 months with the baseline.

Discussion
This study aims to investigate the improvements in quality of life of 3 weeks stay at thermal resort for breast cancer women in complete remission. The comprehensive overview of the program PACThe will likely contribute to enhancing thermal therapy post-cancer rehabilitation in this population in real life conditions.

Trial registration
The PACThe Real-Life conditions trial is a prospective observational study registered at the ANSM registry (2022-A00171-42) on March 1, 2022. This study has been registered on ClinicalTrials.gov: NCT05433077. Protocol: version 4, 22 December 2022.
Discriminatory power of trabeculectomy bleb internal reflectivity and morphology in surgical success using anterior segment optical coherence tomography
Authors: Tan Jeremy C.K. , Roney Matthew , Posarelli Matteo , Ansari Abdus Samad , Batterbury Mark , Vallabh Neeru A. 
Published: January 2025

Abstract

Background
The post-operative evaluation of trabeculectomy blebs has traditionally relied on subjective clinical grading systems performed at the slit-lamp. This study explores the use of swept source anterior-segment optical coherence tomography (AS-OCT) to objectively measure bleb internal reflectivity and morphology, and to distinguish blebs with surgical success vs. failure.

Methods
Cross-sectional study of patients with glaucoma who had undergone trabeculectomy at least one year prior. Swept source AS-OCT was used to capture filtering blebs in the sagittal plane. Standardised regions of interests on the sagittal plane were segmented, and pixel intensity values and bleb height were measured. Receiver operating characteristic curves were used to examine the discriminatory ability of pixel intensity values and bleb morphology to classify blebs with surgical success or failure.

Results
100 eyes of 65 patients were included, with a median post-operative follow up of 7.0 years (IQR 3.2–16 years). The proportion of complete success, qualified success and failure was 45%, 33%, and 22% respectively. The maximum bleb height was significantly greater in the blebs with complete success (1.74 vs. 1.25 vs. 1.23 mm in CS vs. QS vs. F, one-way ANOVA, p < 0.0001). Mean pixel intensity was significantly lower in blebs with complete success (150.8 vs. 157.4 vs. 167.4 in CS vs. QS vs. F, p = 0.0001). Bleb intensity standard deviation (AUC 0.81), maximal bleb height (AUC 0.76), mean pixel intensity (AUC 0.75) and minimum pixel intensity (AUC 0.75) offered the best discrimination between surgical success and failure.

Conclusions
Swept-source AS-OCT can be used to quantify bleb internal reflectivity and morphology, which can be used to distinguish between well vs. poorly functioning blebs. These parameters may assist surgeons in the objective evaluation of post-operative bleb outcomes.
Exploring socio-demographic determinants of obesity in Jordanian women of reproductive age: insights from a nationwide survey
Authors: Shaaban Abdelgalil Mahmoud , El-Farargy Sara Hosny , Dowidar Mohamed Adel , Abd-ElGawad Mohamed 
Published: January 2025

Abstract

Background
In Jordan, obesity has emerged as a significant public health concern, particularly among females, with a prevalence of 43.1%. This rising trend, exacerbates the burden of non-communicable diseases and places increasing strain on the healthcare system.

Aim
We aimed to explore the predictors associated with obesity among adult ever-married Jordanian women aged 20–49 years based on the Jordanian Population and Family Health Survey (JPFHS).

Method
Our study analyzed data from the JPFHS conducted in 2017-18, which initially included 14,689 ever-married women. We performed multivariable analyses to determine the socio-demographic predictors of obesity among these women.

Result
We included 4,339 Jordanian women in our study, of whom 2,189 were classified as obese and 2,150 had a normal body mass index (BMI). Multivariable analysis indicated that increasing age and living in Tafilahwere significantly associated with higher odds of developing obesity (p < 0.05). Conversely, factors such as being in the wealthiest category, residing in Ma’an and Aqaba, and smoking every day were significantly linked to reduced odds of obesity (p < 0.05). Additionally, no significant associations were found between obesity development and variables such as the type of place of residence, educational level, frequency of reading newspapers or magazines, radio listening, television watching, or internet use in the past month (p > 0.05).

Conclusion
Appropriate and targeted interventions should be developed for Jordanian women to address obesity and its related health issues. Policymakers should adopt a multilevel approach that focuses on high-risk subgroups, including older women, and those living in Tafilh. Efforts should be made to raise awareness and provide preventative measures tailored to these groups to effectively reduce obesity and its associated complications.
Enhancing the role of mass media in the translation of evidence from health policy and systems research in Nigeria
Authors: Agwu Prince , Mbachu Chinyere , Onwujekwe Obinna 
Published: January 2025

Abstract

Background
There are massive gaps in communication between health researchers and policy-makers in Nigeria, which constrains the use of research evidence for policy-making. Mass media can help in bridging the gaps, especially since the media has the reach and a reputation for presenting information in ways that elicit actions from the public and policy-makers.

Objective
There is a small body of emerging literature from Nigeria and sub-Saharan Africa, evidencing the usefulness of the media to encourage evidence translation in the health sector; and even evidence translation theories are light on dissemination. This paper adds to knowledge on how academia and media can be linked for effective dissemination of evidence for policy impact.

Method
Data were sourced from group discussions in a communications workshop with 27 participants comprising researchers in health systems and policy and media professionals with several years of experience.

Results
It was found that health research evidence conducted using quality procedures and published in quality academic journals barely make it to public and policy-making conversations because of the restrictiveness that characterizes academic outputs in traditional academic dissemination outlets. On the basis of the cultivation theory, the media was found instrumental in feedback of research results to communities, securing policy-makers’ reactions and stimulating policy actions.

Conclusions
In line with message system analysis, researchers must be strategic in the use of mass media, and our results showed how it can be done. In all, media usage for evidence translation has enormous potential to strengthen the health system.
Motor modules are largely unaffected by pathological walking biomechanics: a simulation study
Authors: Rahimi Goloujeh Mohammad , Allen Jessica L. 
Published: January 2025

Abstract

Background
Motor module (a.k.a. muscle synergy) analysis has frequently been used to provide insight into changes in muscle coordination associated with declines in walking performance, to evaluate the effect of different rehabilitation interventions, and more recently, to control exoskeletons and prosthetic devices. However, it remains unclear whether changes in muscle coordination revealed via motor module analysis stem from abnormal walking biomechanics or neural control. This distinction has important implications for the use of motor module analysis for rehabilitation interventions and device design. Thus, this study aims to elucidate the extent to which motor modules emerge from pathological walking biomechanics, i.e. abnormal walking biomechanics commonly observed in individuals with neurological disease and/or injury.

Methods
We conducted a series of computer simulations using OpenSim Moco to simulate pathological walking biomechanics by manipulating speed, asymmetry, and step width in a three-dimensional musculoskeletal model. We focused on these spatiotemporal metrics because they are commonly altered in individuals with Parkinson’s disease, stroke survivors, etc. and have been associated with changes in motor module number and structure. We extracted motor modules using nonnegative matrix factorization from the muscle activations from each simulation. We then examined how alterations in walking biomechanics influenced the number and structure of extracted motor modules and compared the findings to previous experimental studies.

Results
The motor modules identified from our simulations were similar to those identified from previously published experiments of non-pathological walking. Moreover, our findings indicate that the same motor modules can be used to generate a range of pathological-like waking biomechanics by modulating their recruitment over the gait cycle. These results contrast with experimental studies in which pathological-like walking biomechanics are accompanied by a reduction in motor module number and alterations in their structure.

Conclusions
This study highlights that pathological walking biomechanics do not necessarily require abnormal motor modules. In other words, changes in number and structure of motor modules can be a valuable indicator of alterations in neuromuscular control and may therefore be useful for guiding rehabilitation interventions and controlling exoskeletons and prosthetic devices in individuals with impaired walking function due to neurological disease or injury.
Testing the psychometric properties of the risk-rescue rating scale: a lethality measure for suicide attempts
Authors: Stangeland Tormod , Hanssen-Bauer Ketil , Siqveland Johan 
Published: January 2025

Abstract
Health personnel lack a common standard for assessing lethality of suicide attempts. This may lead to inconsistent assessments and unclear reports about suicide attempts. We argue that the Risk-Rescue Rating Scale (RRRS) may help in resolving this problem. It is a measure based on observable indications of the medical danger of a suicide attempt and of the patient’s efforts to avoid or achieve rescue. The instrument is a clinician-rated supplement to self-reports and can be administered in a few minutes and learned in a single brief teaching session. We adapted the RRRS for contemporary use in a Norwegian acute adolescent mental health service clinic. We developed a training program for clinicians, a user manual, and a series of five video-based role-played interview cases for reliability testing. In this study, we recruited 28 clinicians with professional backgrounds typical of Norwegian mental health personnel. They rated five role-played video interviews using the RRRS and the well-established interview instrument the Suicide Intent Scale (SIS) and obtained 140 sets of scores. We estimated the interrater reliability (intraclass correlation coefficient [ICC]) to be .93 for the RRRS and .94 for the SIS, both excellent levels. Correlation was .80 between the RRRS and SIS items that were similar to the RRRS and .53 for SIS items measuring other topics, indicating good concurrent and discriminant validity. Adopting a common standard for communicating about suicide attempts can improve clinical practice, and the RRRS may prove to be a reliable and practical candidate for this task.
The value of MRI in differentiating ovarian clear cell carcinoma from other adnexal masses with O-RADS MRI scores of 4–5
Authors: Lin Lingling , Fu Le , Wu Huawei , Cheng Saiming , Chen Guangquan , Chen Lei , Zhu Jun , Wang Yu , Cheng Jiejun 
Published: January 2025

Abstract

Objective
To assess the utility of clinical and MRI features in distinguishing ovarian clear cell carcinoma (CCC) from adnexal masses with ovarian-adnexal reporting and data system (O-RADS) MRI scores of 4–5.

Methods
This retrospective study included 850 patients with indeterminate adnexal masses on ultrasound. Two radiologists evaluated all preoperative MRIs using the O-RADS MRI risk stratification system. Patients with O-RADS MRI scores of 4–5 were divided into a training set (n = 135, hospital A) and a test set (n = 86, hospital B). Clinical and MRI features were compared between CCC and non-CCC patients. Analysis of variance and support vector machine were used to develop four CCC prediction models. Tenfold cross-validation was applied to determine the hyperparameters. Model performance was evaluated by the area under the curve (AUC) and decision curve.

Results
221 patients were included (30 CCCs, 191 non-CCCs). CA125, HE4, CEA, ROMA, endometriosis, shape, parity, unilocular, component, the growth pattern of mural nodules, high signal on T1WI, number of nodules, the ratio of signal intensity, and the ADC value were significantly different between CCCs and non-CCCs. The kappa and interobserver correlation coefficient of each MRI feature exceeded 0.85. The comprehensive model combining clinical and MRI features had a greater AUC than the clinical model and tumour maker model (0.92 vs 0.66 and 0.78 in the test set; both p < 0.05), displaying improved net benefit.

Conclusions
The comprehensive model combining clinical and MRI features can effectively differentiate CCC from adnexal masses with O-RADS MRI scores of 4–5.

Critical relevance statement
CCC has a high incidence rate in Asians and has limited sensitivity to platinum chemotherapy. This comprehensive model improves CCC prediction ability and clinical applicability for facilitating individualised clinical decision-making.

Key Points

Identifying ovarian CCC preoperatively is beneficial for treatment planning.

Ovarian CCC tends to be high-signal on T1WI, unilocular, big size, with endometriosis and low CEA.

This model, integrating clinical and MRI features, can differentiate ovarian CCC from adnexal masses with O-RADS MRI scores 4–5.

Graphical Abstract
Upskilling or deskilling? Measurable role of an AI-supported training for radiology residents: a lesson from the pandemic
Authors: Savardi Mattia , Signoroni Alberto , Benini Sergio , Vaccher Filippo , Alberti Matteo , Ciolli Pietro , Di Meo Nunzia , Falcone Teresa , Ramanzin Marco , Romano Barbara , Sozzi Federica , Farina Davide 
Published: January 2025

Abstract

Objectives
This article aims to evaluate the use and effects of an artificial intelligence system supporting a critical diagnostic task during radiology resident training, addressing a research gap in this field.

Materials and methods
We involved eight residents evaluating 150 CXRs in three scenarios: no AI, on-demand AI, and integrated-AI. The considered task was the assessment of a multi-regional severity score of lung compromise in patients affected by COVID-19. The chosen artificial intelligence tool, fully integrated in the RIS/PACS, demonstrated superior performance in scoring compared to the average radiologist. Using quantitative metrics and questionnaires, we measured the ‘upskilling’ effects of using AI support and residents’ resilience to ‘deskilling,’ i.e., their ability to overcome AI errors.

Results
Residents required AI in 70% of cases when left free to choose. AI support significantly reduced severity score errors and increased inter-rater agreement by 22%. Residents were resilient to AI errors above an acceptability threshold. Questionnaires indicated high tool usefulness, reliability, and explainability, with a preference for collaborative AI scenarios.

Conclusion
With this work, we gathered quantitative and qualitative evidence of the beneficial use of a high-performance AI tool that is well integrated into the diagnostic workflow as a training aid for radiology residents.

Critical relevance statement
Balancing educational benefits and deskilling risks is essential to exploit AI systems as effective learning tools in radiology residency programs. Our work highlights metrics for evaluating these aspects.

Key Points

Insights into AI tools’ effects in radiology resident training are lacking.

Metrics were defined to observe residents using an AI tool in different settings.

This approach is advisable for evaluating AI tools in radiology training.

Graphical Abstract
Development and psychometric evaluation of the Brief Parenting Questionnaire
Authors: Miller Kenneth E. , Chen Alexandra , Bakolis Ioannis , Koppenol-Gonzalez Gabriela V. , Arnous Maguy , Tossyeh Fadila , Al-Ogaily Dalia , Jordans Mark J. D. 
Published: January 2025

Abstract

Background
There is a paucity of brief self-report parenting measures validated for use in low- and middle-income countries (LMICs). We developed the Brief Parenting Questionnaire (BPQ), a 24-item self-report measure for use with parents of children ages 3–12.

Objective
We describe the development and evaluation of the psychometric properties of the BPQ, which was designed to include two subscales: warm and responsive parenting (WRP) and harsh parenting (HP).

Participants and setting
The sample included an equal number of male and female caregivers (n = 480) from 240 families in North Lebanon that took part in a randomized controlled trial (RCT) of the Caregiver Support Intervention. Study participants were primarily Syrian (95.2%); others were Lebanese (4.2%) and Palestinian (0.6%).

Methods
The development of the BPQ is described. To assess its psychometric properties, we used data from the RCT for which the instrument was developed. Confirmatory factor analysis (CFA) was used to examine the factor structure of the BPQ. The reliability of the BPQ and its potential subscales was assessed by examining the internal consistency using Cronbach’s alpha and McDonald’s omega. Multi-group CFA was conducted to identify if the same two constructs were being measured across mothers and fathers.

Results
A two-factor model best fit the data, with 16 items loading on WRP and seven items on HP, corresponding to the two parenting dimensions the scale was designed to assess. Internal consistency was good: full scale ɑ=0.83, WRP ɑ=0.86, and HP ɑ=0.76. One item not loading on either subscale was retained for theoretical reasons.

Conclusions
The BPQ is a brief culturally grounded self-report measure of parenting validated for use with Middle Eastern Arabic speaking parents. The data for this paper come from a pre-registered trial: ISRCTN33665023.
Integrating hydro-geomorphological adjustments into flood mapping for enhanced risk assessment
Authors: Mukherjee Tuhin , Goel N. K. , Arya D. S. , Arora Manohar 
Published: January 2025

Abstract
Accurate flood risk assessment is essential for effective risk management, especially as extreme rainfall trends have increased flood frequency and inundation globally. However, rainfall data alone often becomes insufficient in dynamic floodplains, where geomorphological changes are critical. The Shilabati River basin in West Bengal, India, illustrates such a landscape, having experienced severe floods in 1959, 1967, 1968, 1973, 1978, 1999, 2000, 2007, 2013, and 2021. For this basin, mapping landform variability is key to understanding erosion and landscape denudation processes. The Digital Elevation Model (DEM)-based technique known as DEM of Difference (DoD) enables the detection of terrain changes over time by comparing DEMs from distinct periods, offering insight into floodplain erosion. However, DEM-based analysis is prone to spatially correlated errors, which can propagate false topographic features, hindering accurate flood mapping. Our study employs the Elevation Deviation Index (EDI), a DEM comparison method that normalizes and mitigates spatially correlated errors across terrain. Using EDI, we mapped geomorphological changes in the Shilabati floodplain, revealing substantial erosion and elevation loss. Our findings demonstrate a strong positive correlation between EDI values and increased flood extent. These results underscore the importance of incorporating geomorphological analysis in flood risk assessment, as hydrological data alone may overlook critical terrain changes. We recommend a Preliminary Flood Risk Assessment (PFRA) to strengthen flood resilience in the region, targeting vulnerable zones for enhanced, adaptive flood mitigation strategies.
Optically levitated nanoparticles as receiving antennas for low frequency wireless communication
Authors: Fu Zhenhai , Xu Jinsheng , Zhu Shaochong , He Chaoxiong , Zhu Xunming , Gao Xiaowen , Cai Han , He Peitong , Chen Zhiming , Zhang Yizhou , Li Nan , Chen Xingfan , Dong Ying , Zhu Shiyao , Liu Cheng , Hu Huizhu 
Published: January 2025

Abstract
Low-frequency (LF) wireless communications play a crucial role in ensuring anti-interference, long-range, and efficient communication across various environments. However, in conventional LF communication systems, their antenna size is required to be inversely proportional to the frequency, so that their mobility and flexibility are greatly limited. Here we introduce a novel prototype of LF receiving antennas based on optically levitated nanoparticles, which overcomes the size-frequency limitation to reduce the antenna size to the hundred-nanometer scale. These charged particles are extremely sensitive to external electric field as mechanical resonators, and their resonant frequencies are adjustable. The effectiveness of these antennas was experimentally demonstrated by using the frequency shift keying (2FSK) modulation scheme. The experimental results indicate a correlation between error rate and factors such as transmission rate, signal strength, and vacuum degree with a signal strength of approximately 0.1V/m and a bit error rate below 0.1%. We extend the application of levitated particle mechanical resonators as an entirely new type of compact LF antennas, which may be utilized in long-distance communications in extreme environments.