bluuebunny/crossref_metadata_2025_split huggingface dataset:
#Fail: the quality and accuracy of nutrition-related information by influential Australian Instagram accounts
Authors: Denniss Emily , Lindberg Rebecca , Marchese Laura E. , McNaughton Sarah A. 
Published: February 2024

Abstract
Background
Social media is a popular source of information about food and nutrition. There is a high degree of inaccurate and poor-quality nutrition-related information present online. The aim of this study was to evaluate the quality and accuracy of nutrition-related information posted by popular Australian Instagram accounts and examine trends in quality and accuracy based on author, topic, post engagement, account verification and number of followers.

Methods
A sample of posts by Australian Instagram accounts with ≥ 100,000 followers who primarily posted about nutrition was collected between September 2020 and September 2021. Posts containing nutrition-related information were evaluated to determine the quality and accuracy of the information. Quality was assessed using the Principles for Health-Related Information on Social Media tool and accuracy was assessed against information contained in the Australian Dietary Guidelines, Practice-based Evidence in Nutrition database, Nutrient Reference Values and Metafact.

Results
A total of 676 posts were evaluated for quality and 510 posts for accuracy, originating from 47 Instagram accounts. Overall, 34.8% of posts were classified as being of poor quality, 59.2% mediocre, 6.1% good and no posts were of excellent quality. A total of 44.7% of posts contained inaccuracies. Posts authored by nutritionists or dietitians were associated with higher quality scores (β, 17.8, CI 13.94–21.65; P < 0.001) and higher accuracy scores (OR 4.69, CI 1.81–12.14, P = 0.001) compared to brands and other accounts. Information about supplements was of lower accuracy (OR 0.23, CI 0.10–0.51, P < 0.001) compared to information about weight loss and other nutrition topics. Engagement tended to be higher for posts of lower quality (β -0.59, P = 0.012), as did engagement rate (β -0.57, P = 0.016). There was no relationship between followers or account verification and information quality or accuracy and no relationship between engagement and accuracy.

Conclusions
Nutrition-related information published by influential Australian Instagram accounts is often inaccurate and of suboptimal quality. Information about supplements and posts by brand accounts is of the lowest quality and accuracy and information posted by nutritionists and dietitians is of a higher standard. Instagram users are at risk of being misinformed when engaging with Australian Instagram content for information about nutrition.
Translation, reliability and validity of the Turkish versions of Norwich Patellar Instability score and The Banff Patellar Instability Instrument 2.0
Authors: Yilmaz Engin Turkay , Goymen Ibrahim Mehmet , Oral Melih , Tuncay Ozan , Dursun Gokay , Turhan Egemen , Tokgozoglu Ahmet Mazhar 
Published: February 2024

Abstract
Background
Current treatment options for patellofemoral (PF) instability have required functional scoring systems. The Banff Patellar Instability Instrument (BPII) 2.0 and Norwich Patellar Instability (NPI) scores were explicitly created to meet the need to evaluate PF instability. Different patient-reported outcome measurements (PROMs) are used to evaluate anterior knee problems.

Objectives
To test the validity and reliability of the Turkish version of the BPII 2.0 and NPI score.

Study design and methods
Fifty-one patients that operated for PF instability, older than eighteen years old, were included in this study. Turkish translation of the BPII 2.0 and NPI scores was undertaken through translation into Turkish by an independent translator. Two tests were repeated seven days apart. Intraclass correlation coefficient (ICC) was used for test–retest reliability. Internal consistency was analyzed using Cronbach's alpha. Validity was assessed by correlating the Kujala and Lysholm knee scores.

Results
Fifty-one patients (34 females/17 males), the average age was 25 ± 7, were included in this study. Cronbach's alpha value was 0.829 for BPII 2.0 and 0.843 for NPI for the first time answered by patients. ICC values applied to evaluate test–retest reliability were 0.904 (p < 0.05) for BPII 2.0 and 0.915 (p < 0.05) for NPI. There was a moderate correlation between the BPII 2.0 Turkish version and the Kujala score. There was a very high correlation between the Turkish version of the BPII 2.0 and Lysholm knee scores. An excellent negative correlation was found between Norwich and Kujala scores (r = −0.819, p < 0.05). The correlation coefficient between Norwich and Lysholm scores was −0.662, indicating a high negative correlation (p < 0.05). The correlation coefficients between the Turkish version of BPII 2.0 and NPI were −0.533 (p < 0.05).

Conclusions
The Turkish version of the BPII 2.0 and NPI score is a reliable and valid instrument for Turkish-speaking patients with patellofemoral instability.
Lived experiences of genetic diagnosis for rare disease patients: a qualitative interview study
Authors: Modelhart Antonia , Sturz Dominique , Kremslehner Lydia , Prainsack Barbara 
Published: February 2024

Abstract
Background
Genetic diagnosis is often understood as a single event within the care pathway of rare disease patients. Legal, policy and ethical scholarship focusing on rare diseases and genetic information discusses questions of how to best deal with the process of genetic diagnosis and the communication of genetic information within a given health system. We co-created a research design with rare disease patients and their families in Austria to explore in-depth the experiences of genetic diagnosis for people affected by rare diseases. Our objective was to trace the whole pathway of genetic testing and understand how rare disease patients experience genetic diagnosis as part of their care pathway in the healthcare system.

Results
Data was collected through in-depth semi-structured qualitative interviews with 14 patients with a suspected or diagnosed rare disease or their parents, focusing on their perception of the pathway of genetic diagnosis in Austria. This pathway included the initial triggering of genetic diagnosis, the process of testing and its immediate (communication of results, counselling) and long-term, wider aftermath. Patients missed a clear link to already established forms of care such as their primary care/treating physicians. They also advocate for an integrated and interdisciplinary care pathway.

Conclusions
Our study underscores the importance of a continuous care and communication pathway spanning from the initial genetic diagnosis process to post-test phases. It further shows the importance of exploring patients’ perspectives through qualitative research methods to understand the intricate workings of public health policies and tools. Integrating genetic diagnosis into a broader care trajectory is crucial for a holistic approach to care for rare disease patients who often rely on regular interactions with the healthcare system. Achieving this holistic approach requires collaboration between experts in specific rare disease areas, primary care physicians, and support networks.
EURO-NMD registry: federated FAIR infrastructure, innovative technologies and concepts of a patient-centred registry for rare neuromuscular disorders
Authors: Atalaia Antonio , Wandrei Dagmar , Lalout Nawel , Thompson Rachel , Tassoni Adrian , ’t Hoen Peter A. C. , Athanasiou Dimitrios , Baker Suzie-Ann , Sakellariou Paraskevi , Paliouras Georgios , D’Angelo Carla , Horvath Rita , Mancuso Michelangelo , van der Beek Nadine , Kornblum Cornelia , Kirschner Janbernd , Pareyson Davide , Bassez Guillaume , Blacas Laura , Jacoupy Maxime , Eng Catherine , Lamy François , Plançon Jean-Philippe , Haberlova Jana , Brusse Esther , Hoeijmakers Janneke G. J. , de Visser Marianne , Claeys Kristl G. , Paradas Carmen , Toscano Antonio , Silani Vincenzo , Gyenge Melinda , Reviers Evy , Hamroun Dalil , Vroom Elisabeth , Wilkinson Mark D. , Lochmuller Hanns , Evangelista Teresinha 
Published: February 2024

Abstract
Background
The EURO-NMD Registry collects data from all neuromuscular patients seen at EURO-NMD's expert centres. In-kind contributions from three patient organisations have ensured that the registry is patient-centred, meaningful, and impactful. The consenting process covers other uses, such as research, cohort finding and trial readiness.

Results
The registry has three-layered datasets, with European Commission-mandated data elements (EU-CDEs), a set of cross-neuromuscular data elements (NMD-CDEs) and a dataset of disease-specific data elements that function modularly (DS-DEs). The registry captures clinical, neuromuscular imaging, neuromuscular histopathology, biological and genetic data and patient-reported outcomes in a computer-interpretable format using selected ontologies and classifications. The EURO-NMD registry is connected to the EURO-NMD Registry Hub through an interoperability layer. The Hub provides an entry point to other neuromuscular registries that follow the FAIR data stewardship principles and enable GDPR-compliant information exchange. Four national or disease-specific patient registries are interoperable with the EURO-NMD Registry, allowing for federated analysis across these different resources.

Conclusions
Collectively, the Registry Hub brings together data that are currently siloed and fragmented to improve healthcare and advance research for neuromuscular diseases.
Cai’s prescription inhibits granulosa cell apoptosis through ARHGAP4 on poor ovarian responders
Authors: Wang Zheng , Liu Denghao , Nie Yonghong , Zhang Qinhua 
Published: February 2024

Abstract
Purpose
Poor ovarian response (POR) is a big challenge for in vitro fertilization. The traditional Chinese medicine, Cai’s Prescription of Tonifying Kidney and Strengthening Vitals (Cai’s Prescription) has yielded satisfactory results for POR treatment clinically, but systematic scientific research of Cai’s Prescription is not well reported. This study aimed to investigate the clinical effect of Cai’s Prescription on poor ovarian responders and its biological mechanism.

Methods
Serum was collected from poor ovarian responders, and IL-1β, INFγ, FSH, E2 and AMH levels were analyzed by ELISA. Ovarian antral follicles were identified and counted using transvaginal ultrasound. The embryo quality grading were done on day 3 after retrieval. We used high-throughput sequencing of granulosa cells to investigate the gene transcription patterns of ovarian granulosa cells in poor ovarian responders after Cai’s Prescription pretreatment. The expression level of ARHGAP4 was analyzed by quantitative real-time PCR and western blot. The effects of ARHGAP4 for granulosa cells were analyzed by CCK-8 assay, annexin-V and PI staining, ELISA and western blot. The effects of Cai’s Prescription on the expression of PI3K-Akt pathway and apoptosis were analyzed by western blot.

Results
In this study, we found that Cai’s Prescription pretreatment had the tendency to improve the ovarian reserve function and could increase the number of high quality embryos for poor ovarian responders. Through high-throughput sequencing of mRNA in granulosa cells, we discovered ARHGAP4, which is a member of GTPase-activating proteins (GAPs) may be a candidate target for POR treatment. ARHGAP4 was significantly increased in poor ovarian responders and can be recovered after Cai’s Prescription pretreatment. Mechanically, combining the cell line model and clinical tissue samples, we found that ARHGAP4 can accelerate cell apoptosis and inflammation response in granulosa cells via PI3K-Akt signaling pathway. In addition, Cai’s Prescription pretreatment for three months significantly reduced the high level of ARHGAP4 in poor ovarian responders.

Conclusion
This study shows that the traditional Chinese medicine, Cai’s Prescription yielded satisfactory results for poor ovarian responders clinically and ARHGAP4 may be a candidate target for POR treatment.
O-RADS MRI risk stratification system: pearls and pitfalls
Authors: Nougaret Stephanie , Razakamanantsoa Leo , Sadowski Elizabeth A. , Stein Erica B. , Lakhman Yulia , Hindman Nicole M. , Jalaguier-Coudray Aurelie , Rockall Andrea G. , Thomassin-Naggara Isabelle 
Published: February 2024

AbstractIn 2021, the American College of Radiology (ACR) Ovarian-Adnexal Reporting and Data System (O-RADS) MRI Committee developed a risk stratification system and lexicon for assessing adnexal lesions using MRI. Like the BI-RADS classification, O-RADS MRI provides a standardized language for communication between radiologists and clinicians. It is essential for radiologists to be familiar with the O-RADS algorithmic approach to avoid misclassifications. Training, like that offered by International Ovarian Tumor Analysis (IOTA), is essential to ensure accurate and consistent application of the O-RADS MRI system. Tools such as the O-RADS MRI calculator aim to ensure an algorithmic approach. This review highlights the key teaching points, pearls, and pitfalls when using the O-RADS MRI risk stratification system.Critical relevance statement This article highlights the pearls and pitfalls of using the O-RADS MRI scoring system in clinical practice.Key points• Solid tissue is described as displaying post- contrast enhancement.• Endosalpingeal folds, fimbriated end of the tube, smooth wall, or septa are not solid tissue.• Low-risk TIC has no shoulder or plateau. An intermediate-risk TIC has a shoulder and plateau, though the shoulder is less steep compared to outer myometrium.
Graphical Abstract
Synthesis and evaluation of nanosystem containing chondroitinase ABCI based on hydroxyapatite
Authors: Afraei Fatemeh , Daneshjou Sara , Dabirmanesh Bahareh 
Published: February 2024

AbstractThe bacterial enzyme chondroitinase ABCI (chABCI), which has been isolated from Proteus Vulgaris, is crucial in the treatment of spinal cord injuries. However, due to its short lifespan, the maintenance and clinical application of this enzyme are very constrained. In this study, the immobilization of this enzyme on hydroxyapatite has been carried out and assessed with the aim of enhancing the characteristics and efficiency of chABCI. Hydroxyapatite particles (HAPs) are a potential candidate for drug-delivery carriers because of their excellent biocompatibility, shape controllability, and high adsorption. The use of the nanometer scale allows efficient access to the enzyme's substrate. It demonstrates important biological application capabilities in this way. Field emission gun-scanning electron microscopy (FEG-SEM), X-ray diffraction (XRD), infrared spectroscopy (FT-IR), in vitro release study, and cytotoxicity test were used to characterize the drug nanosystem's properties. According to the findings, electrostatic bindings was formed between charged groups of the enzyme and hydroxyapatite nanoparticles. The results also demonstrated that immobilized chABCI on hydroxyapatite has beneficial properties, such as more manageable drug release, minimal toxicity and side effects, and a high potential to enhance the efficacy of drug delivery and decrease the need for repeated injections.
Joint data power control and LSFD design in distributed cell-free massive MIMO under non-ideal UE hardware
Authors: Li Ning , Fan Pingzhi 
Published: February 2024

AbstractThis paper investigates distributed cell-free massive multiple-input multiple-output with non-ideal user equipment hardware under spatially correlated channels. By employing the use-and-then-forget technique, a lower capacity bound is derived based on the established generalized UE hardware impairments model. In addition, maximum ratio combining can be used to derive a closed-form expression of the spectral efficiency (SE), which offers novel insights into the impact of non-ideal UE hardware on network performance. Furthermore, a max–min SE fairness problem with UE hardware impairments is established where the optimization variables are data power and large-scale fading decoding (LSFD) vectors. Since this is a non-convex problem, we devise an iterative alternating optimization algorithm based on the bisection search to acquire the globally optimal solution. Numerical results indicate that the recommended joint data power control and LSFD design algorithm provides higher SE for the weakest UE, thus significantly enhancing the total SE of the network.
A systematic review of school-based weight-related interventions in the Gulf Cooperation Council countries
Authors: Banany Mohammed , Kang Melissa , Gebel Klaus , Sibbritt David 
Published: February 2024

Abstract
Background
The prevalence of childhood overweight and obesity has increased at alarming levels in the Gulf Cooperation Council (GCC) countries (Saudi Arabia, United Arab Emirates (UAE), Kuwait, Bahrain, Oman, and Qatar). Weight-related interventions are urgently required in these countries to tackle childhood overweight and obesity and their-related consequences. To date, no systematic review has synthesised school-based weight-related interventions in the six GCC countries. This study aims to systematically review school-based, weight-related interventions conducted in the GCC countries, investigating the intervention characteristics, components, and outcomes.

Methods
Medline, Scopus, and ProQuest databases were searched for peer-reviewed literature published in English without date restriction and Google Scholar for grey literature using combined Medical Subject Heading (MeSH) terms and keywords under five relevant concepts including population, setting, interventions, outcomes, and geographical location. Following the Preferred Reporting Items for Systematic Reviews and Meta-Analyses (PRISMA), records were identified, screened for eligibility, and included in this review. Using the Effective Public Health Practice Project tool, the methodological quality of the included studies was assessed independently by two authors.

Results
Out of 1303 initially identified records, eight peer-reviewed articles and three doctoral theses were included in this review. The age of the students in the included studies ranged between 5 to 19 years, and the sample sizes between 28 and 3,967 students. The studies included between one and thirty public and private schools. Of the included studies, six were randomised controlled trials, four pre-post studies and one used a post-study design. Only four of the eleven studies were theory based. The included studies reported various improvements in the students’ weight or weight-related lifestyle behaviours, such as healthier dietary choices, increased physical activity, and decreased sedentary behaviour.

Conclusions
This review suggests the potential effectiveness of school-based interventions in the GCC countries. However, a thorough evaluation of these studies revealed significant methodological limitations that must be acknowledged in interpreting these results. Future studies in this field should be theory-based and use more rigorous evaluation methods.

Systematic review registration
PROSPERO registration number: CRD42020156535.
The impact of crop diversification on food security of farmers in Northern Bangladesh
Authors: Nahar Nazmun , Rahman M. Wakilur , Miah M. A. Monayem , Hasan Md Mahfuzul 
Published: February 2024

Abstract
Background
Crop diversification is the potential for greater dietary diversity, and reduced micronutrient deficiencies and malnutrition. Despite the increasing global concern of improving food security, the nature and extent of food security at the household level in rural areas are not well-documented. This paper determines the factors that influence crop diversification and its association with food security which helps policy maker to take proper steps in norther part of Bangladesh.

Methods
The effect of crop diversification on household food security in northern Bangladesh was measured by adopting the Herfindahl index (HI). Food Consumption Score (FCS) and Household Food Insecurity Access Score (HFIAS) were used to determine the food security status. The binary logistic regression model and multinominal logit model were performed to identify the factors influencing crop diversification and food security, respectively. All these analyses were performed based on 609 household samples collected from six northern districts of Bangladesh.

Results
Descriptive statistics show that the majority of farmers in the study districts reported 12–13 different crops, while only farmers in Bogura mentioned 19 different crops grown in their field. After calculating crop diversification using HI index, it is apparent that about 64% respondents irrespective of region produced different types of crops and around one third of them possessed in the middle categories neither they were fully crop diversified nor non crop-diversified. About 40% households had better Food Consumption Score lead to only 3.28% belonged to below poverty line and rest of the household fall in borderline. The analysis confirm that the crop diversified households were found to be more food secured or marginal food secured then that of less crop diversified households.

Conclusion and policy recommendation
We may infer from the factor analysis that, in line with the government policy to raise significantly the standard of living of the farmers, government should facilitate and encourage farmers to grow several crops rather than just one and provide training opportunities. In addition, food insecure people as well as the low food secure group might overcome their circumstances if the government places greater emphasis on education, training, and off-farm activities by providing financial support.
DeepMPTB: a vaginal microbiome-based deep neural network as artificial intelligence strategy for efficient preterm birth prediction
Authors: Chakoory Oshma , Barra Vincent , Rochette Emmanuelle , Blanchon Loïc , Sapin Vincent , Merlin Etienne , Pons Maguelonne , Gallot Denis , Comtet-Marre Sophie , Peyret Pierre 
Published: February 2024

AbstractIn recent decades, preterm birth (PTB) has become a significant research focus in the healthcare field, as it is a leading cause of neonatal mortality worldwide. Using five independent study cohorts including 1290 vaginal samples from 561 pregnant women who delivered at term (n = 1029) or prematurely (n = 261), we analysed vaginal metagenomics data for precise microbiome structure characterization. Then, a deep neural network (DNN) was trained to predict term birth (TB) and PTB with an accuracy of 84.10% and an area under the receiver operating characteristic curve (AUROC) of 0.875 ± 0.11. During a benchmarking process, we demonstrated that our DL model outperformed seven currently used machine learning algorithms. Finally, our results indicate that overall diversity of the vaginal microbiota should be taken in account to predict PTB and not specific species. This artificial-intelligence based strategy should be highly helpful for clinicians in predicting preterm birth risk, allowing personalized assistance to address various health issues. DeepMPTB is open source and free for academic use. It is licensed under a GNU Affero General Public License 3.0 and is available at https://deepmptb.streamlit.app/. Source code is available at https://github.com/oschakoory/DeepMPTB and can be easily installed using Docker (https://www.docker.com/).