bluuebunny/crossref_metadata_2025_split huggingface dataset:
Personalising dietary advice for disease prevention: concepts and experiences
Authors: Daniel Hannelore 
Published: January 2025

Abstract
Personalised nutrition (PN) as a new endeavour emerged in the background of the human genome project with the ease to analyse genetic heterogeneity. First commercial offers with recommendations for diet and lifestyle changes, usually based on a few polymorphisms, entered markets soon after the presentation of the human genome blueprint. Although PN has seen many attempts, meanwhile, with the inclusion of other biomedical measures such as microbiome and/or continuous glucose monitoring, scientific assessments of such approaches in various settings revealed limited success. Although personalisation improved general compliance over generic advice, particular benefits in referring to biomedical measures and individual risks did, in most cases, not provide any significant advantage. Moreover, scholars criticised such approaches as of limited impact from a public health perspective by attracting mainly technology-open individuals of high social status and proper financial capabilities. Based on these experiences, new avenues for personalising dietary advice are developed, and those are going beyond pure biomedical data by assessing the entire food environment of the individual with its capabilities and constraints in the given life setting. Embedded into digital environments for data collection but also for bidirectional communication, new possibilities emerge. Artificial intelligence methods allow for the multitude of input data and highly complex decision trees to be derived to customize advice. And that can be delivered on the spot and in time in any language whenever decisions are made on what to buy or what to eat. But systems can also be employed to increase physical activity levels and for the adoption of a more healthy lifestyle in general.
Access to child-appropriate medicines: an exploratory survey of the use of paediatric use marketing authorisation products in the UK
Authors: Wan Mandy , Houshian Amin , Tomlin Stephen , Rashed Asia N. 
Published: January 2025

Abstract
The Paediatric Use Marketing Authorisation (PUMA) was introduced in the European Union to incentivise the development of off-patent medicines in children. However, there is limited data on the accessibility of PUMA products at the healthcare provider level. This study aimed to identify factors affecting real-world accessibility to PUMA products in the United Kingdom (UK). Inductive thematic analyses of the archives of the Neonatal and Paediatric Pharmacy Group (NPPG) online forum were conducted. A web-based survey was also distributed to NPPG members in September 2022 regarding the availability of PUMA products in their organisations. Thematic analysis generated five themes: authorisation, availability, affordability, appropriateness and acceptability. Restricted scope of the product’s marketing authorisation, market access variation, higher cost of PUMA products, product appropriateness and patient acceptability were reasons for continued off-label use and use of unlicensed products in clinical practice. Conclusion: Despite targeted legislative efforts to bring off-label uses in children into authorised use, this study provides evidence that authorisation alone does not equate to market availability, which in turn does not guarantee patient access. The study findings also suggest that cost pressure drives local procurement decisions and overshadows the long-standing problems associated with off-label use and manipulation of medicines in children.

What is already known about this subject• The Paediatric Use Marketing Authorisation (PUMA) was introduced in the European Union (applied to the UK at the time) to incentivise the development of off-patient medicines exclusively for use in the paediatric population. • It is widely acknowledged that the PUMA concept has not achieved its intended goal, as evidenced by the few products authorised through this route.

What this study adds• This study shows inequalities in children's access to PUMA products in the UK.• Determinants impeding patient access to child-appropriate paediatric medicines can be categorised into five dimensions: authorisation, availability, affordability, appropriateness, and acceptability.
Model and mesh selection from a mCRE functional in the context of parameter identification with full-field measurements
Authors: Nguyen Hai Nam , Chamoin Ludovic 
Published: January 2025

Abstract
In this paper, we propose a general deterministic framework to question the relevance, assess the quality, and ultimately choose the features (in terms of model class and discretization mesh) of the employed computational mechanics model when performing parameter identification. The goal is to exploit both modeling and data at best, with optimized model accuracy and computational cost governed by the richness of available experimental information. Using the modified Constitutive Relation Error concept based on reliability of information and the construction of optimal admissible fields, we define rigorous quantitative error indicators that point out individual sources of error contained in the identified computational model with regards to (noisy) observations. An associated adaptive strategy is then proposed to automatically select, among a hierarchical list with increasing complexity, some parameterized mathematical model and finite element mesh which are consistent with the content of experimental data. In addition, the approach is computationally enhanced by the complementary use of model reduction techniques and specific nonlinear solvers. We focus here on experimental information given by full-field kinematic measurements, e.g. obtained by means of digital image correlation techniques, even though the proposed strategy would also apply to sparser data. The performance of the approach is analyzed and validated on several numerical experiments dealing with anisotropic linear elasticity or nonlinear elastoplastic models, and using synthetic or real observations.
Electrochemical aptasensor for the selective detection of vancomycin based on nanostructured “in-lab” printed electrodes
Authors: Bibani Malek , Casian Magdolna , Feier Bogdan , Bogdan Diana , Hosu-Stancioiu Oana , Ktari Nadia , Kalfat Rafik , Cristea Cecilia 
Published: January 2025

Abstract
A label-free, flexible, and disposable aptasensor was designed for the rapid on-site detection of vancomycin (VAN) levels. The electrochemical sensor was based on lab-printed carbon electrodes (C-PE) enriched with cauliflower-shaped gold nanostructures (AuNSs), on which VAN-specific aptamers were immobilized as biorecognition elements and short-chain thiols as blocking agents. The AuNSs, characterized by scanning electron microscopy (SEM) and atomic force microscopy (AFM), enhanced the electrochemical properties of the platform and the aptamer immobilization active sites. The developed disposable aptasensor allowed label-free detection of VAN via electrochemical impedance spectroscopy (EIS) across a wide range of concentrations (50–1000 nM), with a limit of detection (LOD) of 1.721 nM. The aptasensor presented good selectivity against some commonly found interferences in human serum and milk and was successfully applied to the analysis of these samples.

Graphical Abstract
Non-invasive fundoscopy as a tool to estimate intracranial pressure: a large animal model
Authors: Eriksen Niclas Lynge , Poulsen Frantz Rom , Andersen Mikkel Schou , Nortvig Mathias Just 
Published: January 2025

Abstract

Purpose
Intracranial pressure (ICP) monitoring is in most studies considered essential in avoiding secondary brain injury in patients with intracranial pathologies. Invasive monitoring of ICP is accurate but is unavailable in many clinical and prehospital settings. Non-invasive modalities have historically been difficult to implement clinically. The retinal arteriovenous ratio (A/V ratio) has shown promise through its relationship with ICP.
This study aimed to further elucidate the relationship between ICP, A/V ratio and the intraocular pressure (IOP) measured with non-invasive fundoscopy in a porcine model.

Methods
We achieved controlled values of ICP ranging from normal (5–15 mmHg) to elevated (> 20 mmHg) within the same animal subject. Six pigs were included. ICP and IOP was measured using an intraparenchymal pressure monitor and a tonometer, respectively. Fundoscopy was performed at baseline and at predefined ICP values.

Results
Mixed-effects linear regression revealed a significant inverse correlation between A/V ratio and ICP ≥ 20 mmHg (slope coefficient − 0.0026734 [95%-CI: −0.0039347 – (−0.0014121)], p < 0.001). For ICP < 20 mmHg there was no change in A/V ratio (p = 0.987). Similar results were seen for ICP > IOP with a mean IOP of 10 mmHg. A Wald test showed no significant difference between ICP > IOP and ICP ≥ 20 mmHg. ROC curve analysis revealed an AUC of 0.64 for ICP ≥ 20 mmHg and 0.71 for ICP > IOP.

Conclusion
The results support the hypothesis that an increase in ICP was associated with a decrease in A/V ratio. Although a slightly better fit, the model of ICP > IOP was deemed less clinically relevant than ICP ≥ 20 mmHg because of the subjects’ IOP.
Further research integrating multifactorial models and machine learning is needed to enhance the diagnostic accuracy of A/V ratio via fundoscopy, enabling it to serve as a cost-effective screening tool.
Evaluation of gingival phenotype: the role of gingival thickness measurements from different vertical gingival levels
Authors: Yildirim Bolat Sude , Lutfioglu Muge 
Published: January 2025

Abstract

Objectives
This study aimed to accurately assess the gingival phenotype by comparing the mean gingival thickness (GT) measured at various levels with a single-point GT measurement.

Materials and methods
Fifty participants were divided into thin and thick gingival phenotype groups according to two different classifications. The first classification was based on the GT measured at the base of the gingival sulcus (GT1), whereas the second classification was based on the mean of the GT (GTm) measured at the base of the gingival sulcus (GT1 point) and 1 mm apical (GT2 point) and 2 mm apical to the base of the gingival sulcus (GT3 point). The GT was measured using the transgingival method from the buccal region of 1195 teeth, including the incisors, canines, premolars, and first molars, and was statistically analyzed.

Results
The mean GT was 0.95 ± 0.25 mm for GT1, 0.97 ± 0.3 mm for GT2, 0.81 ± 0.22 mm for GT3, and 0.91 ± 0.22 mm for the overall GTm. Good agreement was found between the GTm and GT1 and GT2 (k = 0.712; k = 0.758, p < 0.001for both), and moderate agreement was found between the GTm and GT3 (k = 0.534, p < 0.001). In both classifications, the effect of the dental arch location on the GT was found to be statistically significant.

Conclusion
Standardized methods are required to minimize the differences in measurements from different vertical levels, which can influence gingival phenotype classification.

Clinical trial registration
ClinicalTrials.gov identifier: NCT06369506.

Clinical relevance
Multiple gingival thickness measurements showed that gingival phenotype varied depending on the vertical level of the gingiva measurement point. Gingival phenotype assessment based on the mean of multiple gingival thickness measurements provided precise results, emphasizing the clinical importance of multiple measurements.
Evaluation of keratinized tissue augmentation using amnion/chorion allograft vs. autogenous connective tissue in implant therapy: a retrospective study
Authors: De Angelis Nicola , Pesce Paolo , Kassim Zethy Hanum , Yumang Catherine , Baldi Domenico , Menini Maria 
Published: January 2025

Abstract

Objectives
Successful implant therapy must also ensure the integration of the soft tissues around the crown/abutment emergence profile. The existing literature does not consistently agree on the necessity of a minimal amount of keratinized tissue (KT), though it appears advantageous for the long-term stability and aesthetics of implants. The purpose of this clinical retrospective study is to compare the effectiveness of amnion/chorion membrane and autogenous subepithelial connective tissue in increasing the keratinized mucosa and maintaining it over a 5-year follow-up.

Methods
Twenty patients who had previously undergone implant surgery were included in the study. Ten patients had received the allograft (Group 1) and ten had received autogenous connective tissue (Group 2).An independent examiner retrospectively analyzed the patient records at 7, 15, and 60 days, and five years post-procedure. Data from these observations were collected and analyzed using SPSS Statistics, version 25. Descriptive statistical analysis was conducted.

Results
All patients exhibited an increase in KT. For Group 1, the mean KT width measurements were 1.27 ± 0.46 mm at the initial evaluation, increasing to 2.00 ± 0.38 mm, 2.80 ± 0.78 mm, 3.27 ± 0.80 mm, and 3.01 ± 0.68 mm at 7, 15, and 60 days post-surgery (with prosthesis delivery on day 60), and five years after prosthetic rehabilitation, respectively.

Conclusions
Within the limitations of this retrospective clinical study, both amnion/chorion and connective tissue show significant potential for KT expansion when used in conjunction with implant surgery.

Clinical relevance
The use of allografts, due their low morbidity, and acceptable results should be considered as a viable option for soft tissues augmentations.
Genomic highlights of the phylogenetically unique halophilic purple nonsulfur bacterium, Rhodothalassium salexigens
Authors: Madigan Michael T. , Bender Kelly S. , Parenteau Mary N. , Kimura Yukihiro , Wang-Otomo Zheng-Yu , Sattley W. Matthew 
Published: January 2025

Abstract

Rhodothalassium (Rts.) salexigens is a halophilic purple nonsulfur bacterium and the sole species in the genus Rhodothalassium, which is itself the sole genus in the family Rhodothalassiaceae and sole family in the order Rhodothalassiales (class Alphaproteobacteria). The genome of this phylogenetically unique phototroph comprises 3.35 Mb and is highly chimeric, with nearly half of its genes originating from families other than the Rhodothalassiaceae, many of which lack phototrophic species. Photosynthesis genes in Rts. salexigens are not arranged in a typical photosynthesis gene cluster but are scattered across the genome, suggesting an origin from horizontal transfers. Despite an encoded RuBisCO, autotrophy has not been observed in Rts. salexigens, and enzymes that oxidize common inorganic electron donors are not encoded. Phospholipid biosynthesis in Rts. salexigens is restricted, and phosphoglycerolipids are the only phospholipids present in its intracytoplasmic membranes. Rts. salexigens fixes nitrogen using a Mo-containing nitrogenase and uses ammonia despite previous results that indicated it was a glutamate auxotroph. Glycine betaine is the sole osmolyte in Rts. salexigens, and enzymes are encoded that facilitate both its uptake and its biosynthesis from glycine. The genomic data also support chemotactic swimming motility, growth over a range of salinities, and the production of membrane-strengthening hopanoids.
Assessing the accuracy and usefulness of YouTube videos on small incision lenticule extraction (SMILE) surgery for patients and healthcare professionals
Authors: Ahmet Sibel , Balci Ali Safa , Atik Burcu Kemer , Topçu Hüsna , Kırgız Ahmet 
Published: January 2025

Abstract
To evaluate the quality, usefulness, and reliability of videos about Small Incision Lenticule Extraction (SMILE) surgery on the YouTube platform. On January 19, 2022, a search was performed on YouTube (www.youtube.com) with the keywords ‘small incision lenticule extraction’, ‘SMILE refractive surgery’, and ‘ReLex SMILE Surgery’. The default search option was “sort videos by relevance”. The duration of videos (seconds), the number of views, the source of videos (surgeons/medical organizations-health channels/patients-others), the number of subscribers, the number of likes and dislikes, like ratio (like × 100/[like + dislike]), the number of comments, the time since upload date (days), the video content (surgery/theoretical information), the content of surgical videos (real surgery/animation), mode of expression (verbal narration/subtitle), and the presence of a conflict of interest (yes/no) were recorded. The videos were blindly evaluated by two refractive surgeons (SA and AK) using DISCERN, the Journal of the American Medical Association (JAMA), and the Global Quality Score (GQS). A total of 101 videos were analyzed, 38 (37.6%) of which were uploaded by surgeons. The mean DISCERN, JAMA, and GQS were 37.73 ± 7.49; 1.90 ± 0.57; and 2.20 ± 0.73, respectively. The JAMA score, GQS, and video duration were all significantly correlated with the DISCERN score. The GQS was significantly correlated with all parameters except the JAMA score. Overall, SMILE surgery videos on the YouTube platform may provide cursory information to non-ophthalmologists; however, when the videos are evaluated using tools such as DISCERN, JAMA, and GQS, they are of low quality in terms of refractive surgery education for ophthalmologists. Experts should evaluate and review content uploaded to websites such as YouTube.
rs762855 single nucleotide polymorphism modulates the risk for diffuse-type gastric cancer in females: a genome-wide association study in the Korean population
Authors: Park Kyungtaek , Shin Cheol Min , Kim Nayoung , Won Sungho , Song Chin-Hee , Ohn Jung Hun , Lee Sejoon , Park Ji Hyun , Yie Ga-Eun , Kang Seung Joo , Kim Joo Sung , Lee Dong Ho 
Published: January 2025

Abstract

Background
Intestinal-type gastric cancer (IGC) and diffuse-type gastric cancer (DGC) exhibit different prevalence rates between sexes. While environmental factors like Helicobacter pylori infection and alcohol consumption contribute to these differences, they do not fully account for them, suggesting a role for host genetic factors.

Methods
We conducted a meta-analysis to explore associations between single nucleotide polymorphisms (SNPs) and the risk of IGC or DGC. The analysis included the SNUBH cohort (998 participants: 159 DGCs, 303 IGCs, 4,962,361 variants) and the GC_HC cohort (6,233 participants: 389 DGCs, 405 IGCs, 4,541,617 variants). Significant variants were validated in the SNUBH2_AA cohort (5,511 participants: 40 DGCs, 49 IGCs, 3,668,632 variants).

Results
The meta-analysis identified that rs762855 (chr4:3,074,795; hg19) is significantly associated with DGC risk in females (OR [95% CI]: 1.758 [1.438–2.150], P = 3.91 × 10–8), a finding replicated in the SNUBH2_AA datasets (OR [95% CI]: 3.356 [1.031–10.92], P = 4.43 × 10–2). Gene-set and transcriptomic analyses revealed that the Myb/SANT DNA Binding Domain Containing 1 (MSANTD1) gene is significantly linked to DGC susceptibility in females. In addition, Mendelian randomization analyses suggested that increased serum total protein and non-albumin protein (NAP) levels elevate DGC risk in females (P < 0.05), but not in males.

Conclusion
The rs762855 SNP, MSANTD1, and serum NAP levels are associated with DGC risk in Korean females.
New Luminescence and Radiocarbon Dates for Kanem-Borno Fired-Brick Elite Sites in Kanem, Chad: Bayesian Chronological Modelling of Settlement Construction
Authors: Magnavita Carlos , Lindauer Susanne , Adjbane Adoum Casimir 
Published: January 2025

Abstract
Five fired-brick sites, tentatively attributed to the Kanem-Borno State, were test-excavated, and samples of fired bricks and wood charcoal were dated using optically stimulated luminescence (OSL) and accelerator mass spectrometry (AMS). Although OSL yielded larger standard deviations compared to radiocarbon dating, both methods produced chronologically significant results. In addition to confirming that the sites were constructed during Kanem-Borno’s rule over Kanem, the new dates support earlier suggestions of multi-phase construction of similar nearby locations. To systematically analyze the growing body of chronometric data from Kanem, we employed Bayesian chronological modelling. This method not only identifies potential stratigraphic and chronological outliers but also provides probabilistic evidence for the multi-phase development of these sites.
Deep learning techniques for atmospheric turbulence removal: a review
Authors: Hill Paul , Anantrasirichai Nantheera , Achim Alin , Bull David 
Published: January 2025

Abstract
Atmospheric turbulence significantly complicates the interpretation and analysis of images by distorting them, making it hard to classify and track objects within a scene using traditional methods. This distortion arises from unpredictable, spatially varying disturbances, challenging the effectiveness of standard model-based techniques. These methods often become impractical due to their complexity and high memory demands, further complicating the task of restoring scenes affected by atmospheric turbulence. Deep learning approaches offer faster operation and are capable of implementation on small devices. This paper reviews the characteristics of atmospheric turbulence and its impact on acquired imagery. It compares performances of a range of state-of-the-art deep neural networks, including Transformers, SWIN and MAMBA, when used to mitigate spatio-temporal image distortions. Furthermore, this review presents: a list of available datasets; applicable metrics for evaluation of mitigation methods; an exhaustive list of state-of-the-art and historical mitigation methods. Finally, a critical statistical analysis of a range of example models is included. This review provides a roadmap of how datasets and metrics together with currently used and newly developed deep learning methods could be used to develop the next generation of turbulence mitigation techniques.
A comprehensive review of deep learning-based hyperspectral image reconstruction for agri-food quality appraisal
Authors: Ahmed Md. Toukir , Monjur Ocean , Khaliduzzaman Alin , Kamruzzaman Mohammed 
Published: January 2025

Abstract
Hyperspectral imaging (HSI) has recently emerged as a promising tool for various agricultural applications. However, high equipment cost, instrumentation complexity, and data-intensive nature have limited its widespread adoption. To overcome these challenges, reconstructing hyperspectral data from simple, cost-effective color or RGB (red-green-blue) images using advanced deep learning algorithms offers a practically attractive solution for a wide range of applications in food quality control and assurance. Through advanced deep learning algorithms, it is possible to capture and reconstruct spectral information from simple, cost-effective RGB imaging to create a reliable, efficient, and scalable system with accuracy comparable to dedicated, expensive HSI systems. This review provides a comprehensive overview of recent advances in deep learning techniques for HSI reconstruction and highlights the transformative impact of deep learning-based hyperspectral image reconstruction on agricultural and food products and anticipates a future where these innovations will lead to more advanced and widespread applications in the agri-food industry.