bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comparison of three-dimensional imaging of the nose using three different 3D-photography systems: an observational study
Authors: Ritschl Lucas M. , Classen Carolina , Kilbertus Paul , Eufinger Julia , Storck Katharina , Fichter Andreas M. , Wolff Klaus-Dietrich , Grill Florian D. 
Published: January 2024

AbstractBackgroundNew 3D technologies for superficial soft tissue changes, especially in plastic and reconstructive surgical procedures, can improve the planning and documentation of facial surgeries. The purpose of this study was to compare and determine the applicability and feasibility of three different 3D-photography systems in clinical practice imaging the nose.MethodsA total of 16 healthy non-operated noses were included in this prospective study. A plaster model of each nose was produced, digitized, and converted to a .stl mesh (= ground truth model). Three-dimensional images of each nose were then taken using Artec Space Spider (gold standard), Planmeca ProFace®, and the Bellus3D Dental Pro application. All resulting .stl files were aligned to the ground truth model using MeshLab software, and the root mean square error (RMSE), mean surface distance (MSD), and Hausdorff distance (HD) were calculated.ResultsThe Artec Space Spider 3D-photography system showed significantly better results compared to the two other systems in regard to RMSE, MSD, and HD (eachp < 0.001). There was no significant difference between Planmeca ProFace® and Bellus3D Dental Pro in terms of RMSE, MSD, and HD. Overall, all three camera systems showed a clinically acceptable deviation to the reference model (range: -1.23–1.57 mm).ConclusionsThe three evaluated 3D-photography systems were suitable for nose imaging in the clinical routine. While Artec Space Spider showed the highest accuracy, the Bellus3D Dental Pro app may be the most feasible option for everyday clinical use due to its portability, ease of use, and low cost. This study presents three different systems, allowing readers to extrapolate to other systems when planning to introduce 3D photography in the clinical routine.
Ganoderma lucidum polysaccharide ameliorates cholesterol gallstone formation by modulating cholesterol and bile acid metabolism in an FXR-dependent manner
Authors: Huang Dan , Shen Shuang , Zhuang Qian , Ye Xin , Qian Yueqin , Dong Zhixia , Wan Xinjian 
Published: January 2024

Abstract
Background
Cholesterol gallstone (CG) disease is a worldwide common disease characterized by cholesterol supersaturation in gallbladder bile. Ganoderma lucidum polysaccharide (GLP) has been shown to possess various beneficial effects against metabolic disorders. However, the role and underlying mechanism of GLP in CG formation are still unknown. This study aimed to determine the role of GLP in ameliorating lithogenic diet (LD)-induced CG formation.

Methods
Mice were fed either a normal chow diet, a LD, or LD supplemented with GLP. Real-time quantitative polymerase chain reaction (RT-qPCR) and western blotting were used to detect the expression of genes involved in cholesterol and bile acid (BA) metabolism. The BA concentrations in the ileum were quantified by liquid chromatography-tandem mass spectrometry (LC–MS/MS). The microbiota in cecal contents were characterized using 16S ribosomal RNA (16S rRNA) gene sequencing.

Results
GLP effectively alleviated CG formation induced by LD. Specifically, GLP reduced the total cholesterol (TC) levels, increased the total BA levels, and decreased the cholesterol saturation index (CSI) in gallbladder bile. The protective effect of GLP was attributed to the inhibition of farnesoid X receptor (FXR) signaling, increased hepatic BA synthesis and decreased hepatic cholesterol synthesis and secretion. GLP also altered the BA composition in the ileum, reducing FXR-agonistic BAs and increasing FXR-antagonistic BAs, which may contribute to the inhibition of intestinal FXR signaling. Additionally, GLP improved dysbiosis of the intestinal flora and reduced the serum levels of hydrogen sulfide (H2S), a bacterial metabolite that can induce hepatic FXR, thereby inhibiting hepatic FXR signaling. Moreover, the protective effect of GLP against CG formation could be reversed by both the global and gut-restricted FXR agonists.

Conclusions
Taken together, GLP ameliorates CG formation by regulating cholesterol and BA metabolism in an FXR-dependent manner. Our study demonstrates that GLP may be a potential strategy for the prevention against CG disease.
Effect of immersive virtual reality-based cognitive remediation in patients with mood or psychosis spectrum disorders: study protocol for a randomized, controlled, double-blinded trial
Authors: Jespersen Andreas E. , Lumbye Anders , Vinberg Maj , Glenthøj Louise , Nordentoft Merete , Wæhrens Eva E. , Knudsen Gitte M. , Makransky Guido , Miskowiak Kamilla W. 
Published: January 2024

Abstract
Background
Cognitive impairments are prevalent across mood disorders and psychosis spectrum disorders, but there is a lack of real-life-like cognitive training programmes. Fully immersive virtual reality has the potential to ensure motivating and engaging cognitive training directly relevant to patients’ daily lives. We will examine the effect of a 4-week, intensive virtual reality-based cognitive remediation programme involving daily life challenges on cognition and daily life functioning in patients with mood disorders or psychosis spectrum disorders and explore the neuronal underpinnings of potential treatment efficacy.

Methods
The trial has a randomized, controlled, double-blinded, parallel-group design. We will include 66 symptomatically stable outpatients with mood disorders or psychosis spectrum disorders aged 18–55 years with objective and subjective cognitive impairment. Assessments encompassing a virtual reality test of daily life cognitive skills, neuropsychological testing, measures of daily life functioning, symptom ratings, questionnaires on subjective cognitive complaints, and quality of life are carried out at baseline, after the end of 4 weeks of treatment and at a 3-month follow-up after treatment completion. Functional magnetic resonance imaging scans are performed at baseline and at the end of treatment. The primary outcome is a broad cognitive composite score comprising five subtasks on a novel ecologically valid virtual reality test of daily life cognitive functions. Two complete data sets for 54 patients will provide a power of 80% to detect a clinically relevant between-group difference in the primary outcome. Behavioural data will be analysed using linear mixed models in SPSS, while MRI data will be analysed with the FMRIB Expert Analysis Tool (FEAT). Treatment-related changes in neural activity from baseline to end of treatment will be investigated for the dorsal prefrontal cortex and hippocampus as the regions of interest.

Discussion
The results will provide insight into whether virtual reality-based cognitive remediation has beneficial effects on cognition and functioning in symptomatically stable patients with mood disorders or psychosis spectrum disorders, which can aid future treatment development.

Trial registration
ClinicalTrials.gov NCT06038955. Registered on September 15, 2023.
Utilising electrodermal activity sensor signals to quantify nociceptive response during movement activities
Authors: Hamilton Rebecca I. , Garcia Ashly Alava , Bowd Jake , Hamilton David , Mason Deborah , Elliott Mark , Holt Cathy 
Published: January 2024

Abstract
Objective
With an increasingly ageing population and osteoarthritis prevalence, the quantification of nociceptive signals responsible for painful movements and individual responses could lead to better treatment and monitoring solutions. Changes in electrodermal activity (EDA) can be detected via changes in skin conductance (SC) and measured using finger electrodes on a wearable sensor, providing objective information for increased physiological stress response.

Results
To provide EDA response preliminary data, this was recorded with healthy volunteers on an array of activities while receiving a noxious stimulus. This provides a defined scenario that can be utilised as protocol feasibility testing. Raw signal extraction, processing and statistical analysis was performed using mean SC values on all participant data. The application of the stimuli resulted in a significant average increase (p < 0.05) in mean SC in four out of five activities with significant gender differences (p < 0.05) in SC and self-reported pain scores and large effect sizes. Though EDA parameters are a promising tool for nociceptive response indicators, limitations including motion artifact sensitivities and lack of previous movement-based EDA published data result in restricted analysis understanding. Refined processing pipelines with signal decomposition tools could be utilised in a protocol that quantifies nociceptive response clinically meaningfully.
Challenges in the diagnosis and management of a ruptured heterotopic gestation following ultrasound-guided embryo transfer in low resource settings: a case report
Authors: Oyeh Ernest , Ofori Samuel , Hiadzi Edem K. , Sefogah Promise E. 
Published: January 2024

Abstract
Background
Heterotopic pregnancies are increasing in incidence with the advent of rising prevalence of in vitro fertilization and embryo transfer (IVF-ET) globally. Although rare, this condition is a serious potentially life-threatening gynaecological complication.

Case presentation
We present the case of a 36-year-old Ghanaian woman who conceived following IVF and presented two weeks after confirmation of intrauterine gestation with sudden onset lower abdominal pain. A diagnosis of ruptured heterotopic pregnancy was made, laparotomy and salpingectomy was done followed with further management of the intrauterine gestation.

Conclusion
To the best of our knowledge, this is the first reported case of heterotopic pregnancy in Ghana. A high index of suspicion for heterotopic pregnancy is required even in the presence of a confirmed intrauterine gestation following IVF-ET.
A new reverse Mulholland’s inequality with one partial sum in the kernel
Authors: Huang Xianyong , Luo Ricai , Yang Bicheng , Huang Xingshou 
Published: January 2024

AbstractBy means of the techniques of real analysis, applying some basic inequalities and formulas, a new reverse Mulholland’s inequality with one partial sum in the kernel is given. We obtain the equivalent conditions of the parameters related to the best value in the new inequality. As applications, we reduce to the equivalent forms and a few inequalities for particular parameters.
Predictive modeling for acute kidney injury after percutaneous coronary intervention in patients with acute coronary syndrome: a machine learning approach
Authors: Behnoush Amir Hossein , Shariatnia M. Moein , Khalaji Amirmohammad , Asadi Mahsa , Yaghoobi Alireza , Rezaee Malihe , Soleimani Hamidreza , Sheikhy Ali , Aein Afsaneh , Yadangi Somayeh , Jenab Yaser , Masoudkabir Farzad , Mehrani Mehdi , Iskander Mina , Hosseini Kaveh 
Published: January 2024

Abstract
Background
Acute kidney injury (AKI) is one of the preventable complications of percutaneous coronary intervention (PCI). This study aimed to develop machine learning (ML) models to predict AKI after PCI in patients with acute coronary syndrome (ACS).

Methods
This study was conducted at Tehran Heart Center from 2015 to 2020. Several variables were used to design five ML models: Naïve Bayes (NB), Logistic Regression (LR), CatBoost (CB), Multi-layer Perception (MLP), and Random Forest (RF). Feature importance was evaluated with the RF model, CB model, and LR coefficients while SHAP beeswarm plots based on the CB model were also used for deriving the importance of variables in the population using pre-procedural variables and all variables. Sensitivity, specificity, and the area under the receiver operating characteristics curve (ROC-AUC) were used as the evaluation measures.

Results
A total of 4592 patients were included, and 646 (14.1%) experienced AKI. The train data consisted of 3672 and the test data included 920 cases. The patient population had a mean age of 65.6 ± 11.2 years and 73.1% male predominance. Notably, left ventricular ejection fraction (LVEF) and fasting plasma glucose (FPG) had the highest feature importance when training the RF model on only pre-procedural features. SHAP plots for all features demonstrated LVEF and age as the top features. With pre-procedural variables only, CB had the highest AUC for the prediction of AKI (AUC 0.755, 95% CI 0.713 to 0.797), while RF had the highest sensitivity (75.9%) and MLP had the highest specificity (64.35%). However, when considering pre-procedural, procedural, and post-procedural features, RF outperformed other models (AUC: 0.775). In this analysis, CB achieved the highest sensitivity (82.95%) and NB had the highest specificity (82.93%).

Conclusion
Our analyses showed that ML models can predict AKI with acceptable performance. This has potential clinical utility for assessing the individualized risk of AKI in ACS patients undergoing PCI. Additionally, the identified features in the models may aid in mitigating these risk factors.

Graphical Abstract
METTL1 mediated tRNA m7G modification promotes leukaemogenesis of AML via tRNA regulated translational control
Authors: Zhao Pan , Xia Lin , Chen Dan , Xu Wei , Guo Huanping , Xu Yinying , Yan Bingbing , Wu Xiao , Li Yuxia , Zhang Yunfang , Zhang Xi 
Published: January 2024

Abstract
Background
RNA modifications have been proven to play fundamental roles in regulating cellular biology process. Recently, maladjusted N7-methylguanosine (m7G) modification and its modifiers METTL1/WDR4 have been confirmed an oncogene role in multiple cancers. However, the functions and molecular mechanisms of METTL1/WDR4 in acute myeloid leukemia (AML) remain to be determined.

Methods
METTL1/WDR4 expression levels were quantified using qRT-PCR, western blot analysis on AML clinical samples, and bioinformatics analysis on publicly available AML datasets. CCK-8 assays and cell count assays were performed to determine cell proliferation. Flow cytometry assays were conducted to assess cell cycle and apoptosis rates. Multiple techniques were used for mechanism studies in vitro assays, such as northern blotting, liquid chromatography-coupled mass spectrometry (LC–MS/MS), tRNA stability analysis, transcriptome sequencing, small non-coding RNA sequencing, quantitative proteomics, and protein synthesis measurements.

Results
METTL1/WDR4 are significantly elevated in AML patients and associated with poor prognosis. METTL1 knockdown resulted in reduced cell proliferation and increased apoptosis in AML cells. Mechanically, METTL1 knockdown leads to significant decrease of m7G modification abundance on tRNA, which further destabilizes tRNAs and facilitates the biogenesis of tsRNAs in AML cells. In addition, profiling of nascent proteins revealed that METTL1 knockdown and transfection of total tRNAs that were isolated from METTL1 knockdown AML cells decreased global translation efficiency in AML cells.

Conclusions
Taken together, our study demonstrates the important role of METTL1/WDR4 in AML leukaemogenesis, which provides a promising target candidate for AML therapy.
Using a longitudinal network structure to subgroup depressive symptoms among adolescents
Authors: Liang Sugai , Huang Zejun , Wang Yiquan , Wu Yue , Chen Zhiyu , Zhang Yamin , Guo Wanjun , Zhao Zhenqing , Ford Sabrina D. , Palaniyappan Lena , Li Tao 
Published: January 2024

Abstract
Background
Network modeling has been proposed as an effective approach to examine complex associations among antecedents, mediators and symptoms. This study aimed to investigate whether the severity of depressive symptoms affects the multivariate relationships among symptoms and mediating factors over a 2-year longitudinal follow-up.

Methods
We recruited a school-based cohort of 1480 primary and secondary school students over four semesters from January 2020 to December 2021. The participants (n = 1145) were assessed at four time points (ages 10–13 years old at baseline). Based on a cut-off score of 5 on the 9-item Patient Health Questionnaire at each time point, the participants were categorized into the non-depressive symptom (NDS) and depressive symptom (DS) groups. We conducted network analysis to investigate the symptom-to-symptom influences in these two groups over time.

Results
The global network metrics did not differ statistically between the NDS and DS groups at four time points. However, network connection strength varied with symptom severity. The edge weights between learning anxiety and social anxiety were prominently in the NDS group over time. The central factors for NDS and DS were oversensitivity and impulsivity (3 out of 4 time points), respectively. Moreover, both node strength and closeness were stable over time in both groups.

Conclusions
Our study suggests that interrelationships among symptoms and contributing factors are generally stable in adolescents, but a higher severity of depressive symptoms may lead to increased stability in these relationships.
In-vitro evaluation of Indigofera heterantha extracts for antibacterial, antifungal and anthelmintic activities
Authors: Bhat Showkat Ahmad , Zargar Mohammed Iqbal , Wani Shahid Ud Din , Mohiuddin Ishfaq , Masoodi Mubashir Hussain , Shakeel Faiyaz , Ali Mohammad , Mehdi Seema 
Published: January 2024

Abstract
Background
Multidrug-resistant bacterial strains cause several serious infections that can be fatal, such as Enterococcus faecium, Staphylococcus aureus, Klebsiella pneumonia, Acinetobacter baumannii, Pseudomonas aeruginosa, and Enterobacteriaceae (often referred to as ESKAPE pathogens). Since ancient times, several indigenous medical systems in India have utilized diverse medicinal plants (approximately 80,000 species) as conventional treatments for a variety of illnesses. A member of the Fabaceae family, also referred to as “Himalayan indigo,” Indigofera heterantha Wall, is well known for its therapeutic properties.

Methods
The present study investigated the antibacterial, antifungal and antihelmintic properties of the roots, bark, leaves, and flowers of I. heterantha from the Kashmir Himalayas. The effectiveness of the extracts against bacteria, fungi, and earthworms. Three of the tested organisms for bacteria were ESKAPE pathogens, as they are responsible for creating fatal bacterial infections. The antifungal potency of I. heterantha aqueous and methanolic extracts was evaluated using the Agar Well Diffusion Assay. The antihelmintic activity was carried out on an adult Pheretima posthuma Indian earth worm, which shares physiological and anatomical similarities with human intestinal roundworm parasites.

Results
The methanolic extracts of root and bark have shown prominent activity against all bacterial strains, whereas aqueous extracts of flower, root, and leaves have shown promising activity against Staphylococcus aureus. The aqueous extract demonstrated good activity against S. cerevisiae at a concentration of 200 mg/ml with a zone of inhibition of 16 mm, while the methanolic extract displayed comparable activity against the fungal strains. The remaining two strains, P. crysogenum and A. fumigatus, were only moderately active in response to the extracts. All the extracts have shown anthelmintic activity except aqueous flower.

Conclusion
These results will pave the way for the bioassay-guided isolation of bioactive constituents that may act as hits for further development as potential antibacterial agents against drug-resistant microbial and helminthic infections.
Recommendations for initial diabetic retinopathy screening of diabetic patients using large language model-based artificial intelligence in real-life case scenarios
Authors: Gopalakrishnan Nikhil , Joshi Aishwarya , Chhablani Jay , Yadav Naresh Kumar , Reddy Nikitha Gurram , Rani Padmaja Kumari , Pulipaka Ram Snehith , Shetty Rohit , Sinha Shivani , Prabhu Vishma , Venkatesh Ramesh 
Published: January 2024

Abstract
Purpose
To study the role of artificial intelligence (AI) to identify key risk factors for diabetic retinopathy (DR) screening and develop recommendations based on clinician and large language model (LLM) based AI platform opinions for newly detected diabetes mellitus (DM) cases.

Methods
Five clinicians and three AI applications were given 20 AI-generated hypothetical case scenarios to assess DR screening timing. We calculated inter-rater agreements between clinicians, AI-platforms, and the “majority clinician response” (defined as the maximum number of identical responses provided by the clinicians) and “majority AI-platform” (defined as the maximum number of identical responses among the 3 distinct AI). Scoring was used to identify risk factors of different severity. Three, two, and one points were given to risk factors requiring screening immediately, within a year, and within five years, respectively. After calculating a cumulative screening score, categories were assigned.

Results
Clinicians, AI platforms, and the “majority clinician response” and “majority AI response” had fair inter-rater reliability (k value: 0.21–0.40). Uncontrolled DM and systemic co-morbidities required immediate screening, while family history of DM and a co-existing pregnancy required screening within a year. The absence of these risk factors required screening within 5 years of DM diagnosis. Screening scores in this study were between 0 and 10. Cases with screening scores of 0–2 needed screening within 5 years, 3–5 within 1 year, and 6–12 immediately.

Conclusion
Based on the findings of this study, AI could play a critical role in DR screening of newly diagnosed DM patients by developing a novel DR screening score. Future studies would be required to validate the DR screening score before it could be used as a reference in real-life clinical situations.

Clinical trial registration
Not applicable.
Percutaneous full-endoscopic transforaminal discectomy versus open microdiscectomy in the treatment of lumbar disc herniation: randomized controlled trial
Authors: Kandeel Moustafa Mohamed , Yousef Magdy Gamal Abdel Kader , Saoud Abdelfattah Mohamed Fathy , Abu-Elghait Zakaria Hassan Ibrahim 
Published: January 2024

Abstract
Background
Lumbar disc herniation is one of the most common degenerative spine conditions. In our center, the standard surgical technique for treatment of lumbar disc herniation is open microdiscectomy. The full-endoscopic transforaminal discectomy is done for selective cases of lumbar disc herniation under local anesthesia, achieving good results. This study aims to compare the clinical outcomes, operative data, and complications of the treatment of lumbar disc herniation with “percutaneous full-endoscopic transforaminal discectomy” (TED) and the gold standard “open microdiscectomy" (MD). This was a randomized controlled trial that included 65 patients with lumbar disc herniation: 32 in the TED group and 33 in the MD group.

Results
There was no statistically significant difference between the two groups with regard to the visual analogue scale (VAS) for leg pain, the VAS for back pain, or the Oswestry Low Back Pain Disability Questionnaire (ODI) score at the end of the 1-year follow-up. The operative time in minutes was statistically shorter in the TED group, with a mean value of 50.38 (± 11.65) and 61.09 (± 12.32) in the MD group. The blood loss was 77.33 CC (± 23.14) in the TED group and 170 CC (± 56.06) in the MD group. The mean duration of hospital stay in days was statistically shorter in the TED group. Exposure to radiation in minutes was higher in the TED group: 1.09 (± 0.33) and 0.18 (± 0.08) in the TED group and MD group, respectively. There was no statistically significant difference in the rate of complications.

Conclusion
TED showed superiority over MD with regard to blood loss, operative time and shorter hospital stays, but with increased radiation exposure. There was no difference in clinical outcomes regarding VAS for leg and back pain and ODI score at 1 year follow-up with no significant difference in complications.