bluuebunny/crossref_metadata_2025_split huggingface dataset:
Real World Barriers to Diagnostic Cardiac Imaging in Adults with Duchenne Muscular Dystrophy Cardiomyopathy
Authors: Murray Peter C. , Pollock Ailis , Hewitt Katie , O'sullivan Jennifer , Sheahan Richard 
Published: March 2024

Abstract
Aims:
Cardiomyopathy is universally penetrant in young adults with Duchenne muscular dystrophy (DMD), and is increasingly the preponderant cause of death. We sought to determine the rates of, and reasons for, failed diagnostic cardiac imaging in our DMD multidisciplinary care centre as well as the level of agreement between imaging modalities, in order to guide the optimal strategy for cardiac imaging in these patients.
Methods and results:
We followed all patients attending a Comprehensive Multidisciplinary Adult DMD clinic over 4 years. All attendees underwent transthoracic echocardiography (TTE) and were offered referral for cardiac MRI (CMR). Age, cardiac medications, left ventricular ejection fraction (LVEF), ambulatory status, airway adjuncts and presence and degree of cardiac fibrosis were recorded. A total of 33 patients enrolled, median age 20, with mean follow-up of 3 years and 3 months. Mean LVEF was 51% at enrollment and 45% at follow-up. Presence of any degree of mitral regurgitation correlated strongly to left ventricular systolic dysfunction. CMR was completed in just 25% of patients, all of whom had extensive midwall fibrosis. Of those in whom CMR failed, 52% were unable to lie flat or position correctly for scanning, predominantly due to muscle contractures. Despite suboptimal TTE imaging in 75%, there was good agreement in LVEF between CMR and TTE.
Conclusion:
We found a high rate of failure to complete diagnostic cardiac imaging in this group of patients with impaired mobility. Our study highlights the importance of multimodality imaging, and practical strategies to overcome environmental obstacles to diagnostic imaging, to better guide aggressiveness of treatment for DMD and its inherent cardiomyopathy.
Novel Multi-factor Predictive Model for Postoperative Survival in Gallbladder Cancer: A Multi-Center Study
Authors: Deng Kaige , Xing Jiali , Xu Gang , Jin Bao , Leng Zijian , Wan Xueshuai , Xu Jingyong , Shi Xiaolei , Qiao Jiangchun , Song Jinghai , Yang Jiayin , Zheng Yongchang , Sang Xinting , Du Shunda 
Published: March 2024

Abstract
Background and study purpose:
Gallbladder cancer (GBC) is a highly aggressive malignancy, and surgery is the primary curative option. However, postoperative survival of patients with GBC remains limited. This study aimed to develop a practical model for predicting the postoperative overall survival (OS) of patients with GBC. The model aims to guide surgical decisions and benefit-risk assessments, addressing an unmet need in current practice.
Methods
A total of 287 patients from three medical institutions were analyzed. Univariate Cox regression analysis was used to screen for prognostic factors. Bidirectional stepwise multivariate Cox regression analysis was used for the feature selection. A nomogram was constructed to predict 1-, 3-, and 5-year postoperative survival rates. The predictive performance of the nomogram was assessed using Harrell's concordance index (C-index), receiver operating characteristic (ROC) curves, and calibration curves. Kaplan-Meier curves and log-rank tests were used to compare survival between the high-risk and low-risk groups determined by the nomogram. Decision curves were used to evaluate the clinical benefits of the nomograms. After training in one institution, internal and external validation were performed in the other two institutions to assess the reliability of the nomogram.
Results
Eight factors were selected via stepwise regression: TNM stage, serum carbohydrate antigen 125 (CA125), carbohydrate antigen 199 (CA199), R0 resection, body mass index (BMI), serum albumin, age-adjusted Charlson Comorbidity Index (aCCI), and serum platelet count. The C-index values were 0.770 and 0.757 before and after bootstrap resampling, respectively. The time-dependent C-index consistently exceeded 0.70 from 6 months to 5 years postoperatively, significantly outperforming TNM staging and CA199 levels. Time-dependent ROC analysis showed an area under the curve (AUC) of over 75% when predicting 1-, 3-, and 5-year postoperative survival. The calibration curves demonstrated good concordance between the predicted and observed 1-, 3-, and 5-year postoperative survival rates. The high-risk group identified by the nomogram exhibited significantly better survival than the low-risk group in both the overall population and in late-stage patients. Decision curves indicated the superior clinical benefits of the novel model compared to TNM staging and CA199 levels. The model performance in the validation process was comparable to that in the training process, demonstrating good reliability.
Conclusions
Our innovative multi-factor nomogram exhibits excellent discriminative and predictive efficacy, along with robust generalizability. The nomogram model has the potential to be a high-quality tool for forecasting postoperative survival in GBC, aiding clinical decision-making.
Predictive Role of Internalized Shame, Fear of Negative Evaluation on Social Anxiety among Transgenders
Authors: Babu Kiran , Joy Molly , Johnson Aksa , V Sukumar , R Chinnaiyan 
Published: March 2024

Abstract
This study investigates how internalized guilt and fear of being judged negatively influence social anxiety in transgender people, using the Internalized Shame Scale [9] and the Fear of Negative Assessing [24] trans men and trans women and the Adult Social Anxiety Scale. People who identified as transgender participated in the study using a purposive sampling technique and a correlational research design. The research included only transgender women (n = 22) and men (n = 10). The age of participants from South Indian states varied between her 18 years and her 50 years (M = 27.12, SD = 6.22). The outcomes of the research show that the trans women experience moderate social anxiety and significant fear of being negatively evaluated and internalizing shame. Social anxiety, internalized shame, and Fear of receiving a poor grade is positively connected. The findings of a multiple regression analysis showed that social anxiety was strongly predicted by internalized guilt and fear of receiving a poor judgment. Talking to strangers, engaging with individuals of the opposite sex, public speaking, and interacting with powerful people can all cause anxiety and discomfort. Summary of the present findings reveal that uncertainty transgender persons are more likely to experience a range of problems, such as: Social anxiety, psychological discomfort, and agony from being associated with prejudice in many vocations on a regular basis. It has been noted that support from friends, family, and the social network can minimize mental health problems. The distinction between transman and transwoman may have been driven by internalized guilt, fear of being judged negatively, and social anxiety since changing to a female may cause greater losses than a transgender man does.
An Improved 3D Printing Extrusion Defect Detection Method Based On YOLO-v8
Authors: Cao Ming , Fu Lijun , Ai Fanrong , Zhou Kui 
Published: March 2024

Abstract
Additive manufacturing (AM) technology finds widespread use in consumer and industrial manufacturing. However, large-scale 3D printers in the manufacturing industry encounter challenges like extended printing times, high nozzle flow, and maintaining flow stability. Addressing these issues necessitates thorough research and optimization of 3D printers to enhance printing efficiency and stability. This study proposes a real-time monitoring system for identifying flow defects in large 3D printers using machine vision. The system comprises a camera capturing extrusion images, a computer processing real-time screens, and a lower computer within the monitoring system designed for real-time monitoring and correction of flow quality in large 3D printers. Defects are detected and image data captured by adjusting the extrusion speed, while an attention mechanism module optimizes the YOLOv8 model. The model is trained for deep learning using mAP50 as the performance evaluation index, achieving a mean average precision (mAP) of 92.1%. Subsequently, the optimized model is deployed on a host computer. Upon detecting flow defects, it sends commands to a Raspberry Pi, generating G-code commands to adjust extrusion speed and relay them to the 3D printer. This enables real-time monitoring and automatic calibration of the printing process. The study presents an effective solution for real-time monitoring and calibration in closed-loop processes within additive manufacturing.
Extremal trees with respect to bi-Wiener index
Authors: Chen Ximei , Karimi Sasan Karimi , Xu Kexiang , Lewinter Marty , Choi Eric , Delgado Anthony , Doslic Tomislav 
Published: March 2024

Abstract
In this paper we introduce and study a new graph-theoretic invariant called the bi-Wiener index. The bi-Wiener index Wb(G) of a bipartite graph G is defined as the sum of all (shortest-path) distances between two vertices from different parts of the bipartition of the vertex set of G. We start with providing a motivation connected with the potential uses of the new invariant in the QSAR/QSPR studies. Then we study its behavior for trees. We prove that, among all trees of order n ≥ 4, the minimum value of Wb is attained for the star Sn, and the maximum Wb is attained at Pn for even n, or at Pn and Bn(2) for odd n where Bn(2) is a broom with maximum degree 3. We also determine the extremal values of the ratio Wb(Tn)/W(Tn) over all trees on a given number of vertices n. At the end, we indicate some open problems and discuss some possible directions of further research.
AMS Subj. Class. (2020): 05C05, 05C09, 05C12, 05C92
Descriptive Analysis Study of the Total Sugar Content of Pre-packaged Beverages Available in Saudi Arabia
Authors: Almutairi Lulu , Alammari Nouf , Alqahtani Amani 
Published: March 2024

Abstract

Background
Since beverages are a major source of sugar, most efforts to reduce sugar consumption focus on limiting sugary drinks. Measuring the sugar content in beverages can assist public health organizations in regulating the total and added sugar content in pre-packaged beverages, leading to better public health outcomes. Therefore, this study aims to provide a descriptive analysis of total sugar content and determine the sugar/sweetener types in a representative sample of pre-packaged beverages available in Saudi Arabia.
Methods
This is a descriptive observational analysis study of pre-packaged beverages within the Saudi branded food database. The analysis covered 12 beverage categories and 28 types of commonly available sugars in beverages. Moreover, the product's source of data, the product's origin, and the amount of total sugar and added sugar in the beverages categories were described. The beverages' median total sugar was also determined and assessed based on the World Health Organization (WHO) recommended upper limit of sugar intake and the multiple traffic light labeling (MTL) criteria. Different analyses were performed including frequencies and median to determine the categories with high sugar content and non-parametric tests to compare the median of the total sugar among categories.
Results
We included 1400 beverages in this study; the median total sugar content in beverage products in the Saudi market was 11 g/100 mL, and fruit juices and soft drinks had the highest median of total sugar 12–11g/100mL, respectively. The top sugar terms found are (Sucrose, High-fructose corn Syrup, and Glucose syrup) were found in 110 beverage products (7.8%), collectively. The median total sugar in our study amounts to 20% of the WHO upper limit recommendation for a person on a 2000-calorie diet, and 46.22% of the beverage products would receive a ‘red’ (high) label for sugar content per 100mL based on the MTL criteria.
Conclusion
Sugar content in the pre-packaged beverages is high compared to the recommended daily limit of sugar. To promote healthy dietary choices, we suggest that public health specialists launch educational campaigns to inform consumers about the risks associated with higher sugar intake and how to interpret labels effectively.
Anti-depressant like effects of Aethoscytus foveolus oil by improving stress-mediated alterations of monoamine oxidase, oxidative stress, and neuroinflammation in-vivo
Authors: Rao Lavisha , Verma Vartika , Jain Smita , Pinapati Kishore Kumar , Bhagyawant Sameer S , Sharma Swapnil , Srivast Nidhi 
Published: March 2024

Abstract
Background: Depression is a neuropsychological disorder with a complex pathophysiology and its pharmacotherapy is compromised with adverse side effects. Addressing the need for effective treatment for depression, the current study aims to characterize the antidepressant activity of oil extract derived from Aethoscytus foveolus, bugs that are widely available in India, in a mice model of stress-induced depression.
Approach and Results: Chemical moieties characterized by GC-MS of A. foveolus oil extract have shown good affinity for monoamine oxidase A (MAO-A) in-silico. In-vitro MAO-inhibitory assay using mouse brain homogenates also showed similar results at IC50 1.363 nM (R2=0.981, SD±0.05, n=3) of it. These results encouraged us to investigate the antidepressant potential of this oil extract in vivo. Stress-exposed mice (Swiss Albino, either sex, 25-30 gm) were administered 5 and 10 mg/kg doses of oil extract and classified as separate groups (N=6 per group). Behavioral tests like the forced-swim test, tail-suspension test, and open-field test demonstrated significant attenuation of stress-induced depressive-like behaviors in mice by both doses (p<0.0001 with positive control group i.e., stress group), while biochemical tests on mice brain tissues showed amelioration of stress-induced hyperactivation of MAO (p<0.0001) and oxidative stress (by increasing Superoxide dismutase and catalase, while reducing lipid peroxidase and nitric oxide) (p<0.0001). The altered mRNA expression of proinflammatory cytokines (NF-𝜅B, IL-6, IL-12, and TNF-α) (p<0.015) was also improved by this oil extract. In addition, histopathology of hippocampus tissues of mice supports that this oil recovers stress-mediated structural changes of the brain.
Conclusion: Our findings suggest that oil derived from A. foveolus could be beneficial in the alleviation of stress-mediated depressive-like behaviors of mice, and in our knowledge, this is the first report identifying anti-neurodegenerative potential of A. foveolus.
Targeted glomerular mesangium transfection by antifibrotic gene nanocarriers inhibits kidney fibrosis and promotes regeneration
Authors: Tai Yifan , Liu Zhen , Wang Yanrong , Zhang Xinyan , Li Ruifang , Yu Jiangyue , Chen Yao , Zhao Lili , Li Jia , Bai Xueyuan , Kong Deling , Midgley Adam C. 
Published: March 2024

Abstract

Renal fibrosis and loss of kidney function are key characteristics of chronic kidney disease (CKD). To address the lack of effective treatments, multifunctional layer-by-layer (LbL) assembled polymeric gene-carrier nanoparticles (PCHS-NP) are prepared to realize preferential accumulation and retention within the renal mesangium, thereby effectively leveraging cortically localized structures for the synthesis and paracrine secretion of the antifibrotic growth factor, bone morphogenetic protein-7 (BMP7). PCHS-NP have stable homogenous morphologies, kidney-targeting functionality, antioxidative effects, and high transfection efficiency. In unilateral ureteral obstruction (UUO)-induced renal fibrosis, a single systemic injection of PCHS-NP prevents tubular atrophy and interstitial fibrosis, and the resultant tissue microenvironment is more conducive to tubular regeneration driven by the upregulation of proliferative SOX9-expressing tubular cells. In longer-term folic acid (FA)-induced renal fibrosis, we show that repeat systemic injections restore kidney health and function. This study indicates that PCHS-NP accomplish a promising therapeutic option for the treatment of CKD.
Responsible Leadership: A Bibliometric Analysis
Authors: Sharma Priti , Gulia Karambir , Gupta Shivani , Sanjana  
Published: March 2024

Abstract
This study aims to trace the magnitude of the number of publications in the field of Responsible Leadership. This study also aims to gauge the Annual Scientific production, most relevant contributors in the field of Responsible Leadership with their citations, Author Productivity through Lotka’s Law, most relevant journals, Journal production over time, Affiliation of the country, Corresponding author's country, Keywords used in the publications with their frequency, trendy topics, collaboration network of the authors, co-citation network and Factorial analysis. The outcomes of the study not only contribute to the existing literature but also prove to be a great help in doing a Systematic Literature Review. Future research in the field will also be easy to decide with the help of this study.
Exploring psychotic experiences in borderline versus schizophrenic patients through a quali-quantitative method: The role of situational dysphoria
Authors: D'Agostino Alessandra , Gagliardi Chiara , Pagani Ariela F. , Monti Mario Rossi 
Published: March 2024

Abstract
Psychotic symptoms in patients with borderline personality disorder (BPD) are common, distressing, and challenging to treat. Yet, little is known about their specific characteristics. The objective of this study was to investigate psychotic experiences in borderline patients comparing them with those of psychotic patients and paying particular attention to the role of dysphoria. Two groups of adult psychiatric patients (aged 18-65 years), one with BPD and the other with schizophrenia, were administered a questionnaire assessing the presence and phenomenology of psychotic experiences (QPE), together with self-reports measuring other dimensions. Results showed that BPD patients had more heterogeneous hallucinations in terms of sensory modality, higher prevalence but lower severity of paranoid delusions, and, especially, a higher degree of situational dysphoria particularly triggered by recent interpersonal events. This suggests that psychotic symptoms in borderline patients begin to show a specific psychopathological profile, which deserves more attention from the scientific community.
HAEMATO-BIOCHEMCIAL STUDIES OF NANOPARTICLE-BASED VACCINE AGAINST R2B STRAIN OF NEW CASTLE DISEASE IN CHICKS
Authors: TOMAR RUHI , YADAV SHIVANI , CHAUHAN DUSHYANT K. 
Published: March 2024

Objective: The goal of the current study is to create a Newcastle disease vaccine based on green synthesised metal oxide nanoparticles and to study the haematological and biochemical effects of this vaccine in chicks.
Methods: Copper Oxide Nanoparticles (CuONPs) from Momordica charantia were synthesised biologically. These copper oxide nanoparticles were combined with a commercially available freeze-dried Newcastle Di0sease (ND) vaccination of the live R2B strain to use it as a vaccine delivery method in the current work. Haematological and biochemical parameters were investigated in pre-challenged and post-challenged chicks.
Results: After the injection of copper nanoparticles-based vaccines, it was found that the pre-challenged animals and post challeneged animals showed highly significant difference (P<0.05) in their total White Blood Cells (WBC) counts, hemoglobin concentration, hematocrit value, and Erythrocyte Sedimentation Rate (ESR) in comparison to control and live vaccinated groups. It was also investigated that for biochemical parameters After the injection of copper nanoparticles-based vaccines, both pre-challenged animals and post challeneged animals showed highly significant difference (P<0.05) in their blood glucose level, serum total protein, creatinine, serum alkaline phosphatase, Aspartate Amino Transferase (ALT) and Alanine Amino Transferasse (AST) in comparison to control and live vaccinated groups.
Conclusion: The vaccine not only makes chicks healthier, but also shields them from the virus that causes Newcastle disease
WILD PTERIDOPHYTA THAT CAN BE USED AS DECORATIVE PLANTS BY THE SOCIALITY
Authors: Nursyahra Nursyahra , Putri Lola Dwi , Zural Mimin Mardhiah , Meriko Lince 
Published: March 2024

Abstract. Fern is a plant that is spread so widely that it can be found from the lowlands to the highlands, has a high diversity of Indonesian flora groups and many grow in moist areas such as oil palm plantations, forests, hills and even river flows. In the river there are fern plants that grow attached to the stone. The study was conducted in July-August 2019 and aims to find out the types of fern plants that are used as decorative plants by sociality. The method used in this study is a descriptive survey by field observation and direct collection. Collections obtained were identified using with plant taxonomy books and field guides. Analysis of research data was done descriptively. The results showed that there were 6 types of decorative fern plants consisting of 1 class, 1 nation, 5 tribes, and 6 clans.Keywords: Pteridophyta, The Benefits of Fern
PENERAPAN MODEL PEMBELAJARAN KOOPERATIF TIPE TEAM ASSISTED INDIVIDUALIZATION UNTUK MENINGKATKAN PEMAHAMAN KONSEP MATEMATIS SISWA
Authors: Mardiyah Ainil , Muslim Audra Pramitha , Syari Engla Devia 
Published: March 2024

Penelitian ini dilatarbelakangi oleh pemahaman konsep matematis siswa yang masih rendah dan tingginya sikap individual siswa yang berkemampuan tinggi. Tujuan penelitian ini yaitu untuk mengetahui apakah pemahaman konsep matematis siswa dengan penerapan model pembelajaran kooperatif tipe Team Assisted Individualization (TAI) lebih baik daripada kemampuan pemahaman konsep matematis siswa dengan menerapkan pembelajaran konvensional siswa kelas XI IPA SMAN 2 Bayang. Jenis penelitian ini adalah penelitian eksperimen dengan rancangan penelitian random terhadap subjek. Populasi penelitian ini adalah siswa kelas XI IPA SMAN 2 Bayang yang terdiri dari lima kelas. Teknik pengambilan sampel dilakukan secara acak, dimana kelas XI IPA 4 sebagai kelas eksperimen dan kelas XI IPA 5 sebagai kelas kontrol. Instrumen yang digunakan adalah tes akhir yang berbentuk esai dengan reliabilitas 0,76. Berdasarkan tes akhir yang diperoleh, kedua kelas sampel berdistribusi normal dan homogen. Statistik uji yang digunakan untuk pengujian hipotesis penelitian adalah uji t satu pihak dengan thitung = 1,79 dan ttabel = 1,67 karena thitung > ttabel maka hipotesis diterima. Sehingga dapat disimpulkan pemahaman konsep matematis siswa dengan penerapan model pembelajaran kooperatif tipe TAI lebih baik daripada pemahaman konsep matematis siswa dengan menerapkan pembelajaran konvensional siswa kelas XI IPA SMAN 2 Bayang.
Android-Based Learning Media Using MIT App Inventor on Algebra Materials for Junior High School Student
Authors: Amri Arif Rahman , Anggraini Villia , Fitri Dewi Yuliana 
Published: March 2024

During the Covid-19 pandemic, the learning system in Indonesia was carried out online. In the context of learning mathematics for junior high school students, especially algebra material, this online learning system makes students confused and do not focus on the learning material. As a result, students are unable to answer or complete or solve the algebra problems given. This situation then has a big impact on learning outcomes. For that reason, this research propose Android-Based Learning Media using MIT App Inventor on Algebra Materials. This research designed as part of development which conducted the assessment phase. Based on data analysis, it can be concluded that Android-Based Learning Media using MIT App Inventor on Algebra Materials obtained a value of 89.67% with the valid category from the expert, practicality test results scored 82.44% students with very practical categories. As the conclusion the android-based MIT App Inventor learning media on algebra material is appropriate for use in the learning process.