bluuebunny/crossref_metadata_2025_split huggingface dataset:
CircXPO6 promotes the progress of breast cancer through competitively inhibiting the ubiquitination degradation of c-Myc
Authors: Xu Aiqi , Li Xi , Zhang Jinhui , Yang Ciqiu , Yang Mei , Gao Hongfei , Cheng Minyi , Chen Xianzhe , Ji Fei , Tang Hailin , Wang Kun 
Published: February 2024

Abstract
Purpose
The number of breast cancer patients is increasing year by year, which poses a serious threat to human life and health. c-Myc is a transcription factor, studies have shown it is a very critical factor in tumor progression, but how it being regulated in breast cancer is still poorly understood.
Methods
The RIP chip sequence assay was performed to confirm CircXPO6. The function of CircXPO6 was verified by overexpression or knockdown of CircXPO6 in MDA-MB-231 and BT-549. RNA immunoprecipitation and co-immunoprecipitation were used to verify CircXPO6’s regulation of c-Myc and also used to verify the competitive binding relationship between CircXPO6 and SPOP. The influence of CircXPO6 on energy metabolism was evaluated by ATP, lactate detection, qRT-PCR, western blot, and immunohistochemistry. The relationship between CircXPO6 and clinical data, disease free survival (DFS), overall survival (OS) were also analyzed.
Results
We found CircXPO6 had a high affinity with c-Myc through RIP chip and was highly expressed in triple negative breast cancer (TNBC) tissues and cells. CircXPO6 overexpression promoted tumor proliferation and metastasis both in vitro and in vivo. Further, CircXPO6 significantly promoted the expression of glucose metabolism related genes such as GLUT1, HK2 and MCT4 in TNBC cells in vitro and in vivo. Finally, CircXPO6 high expression was closely related to malignant pathological factors such as tumor size, lymph node metastasis, TNM staging, and histopathological grading of TNBC. Mechanistically, CircXPO6 interacted with c-Myc to prevent speckle-type POZ-mediated c-Myc ubiquitination and degradation, thus promote TNBC progression.
Conclusion
Through c-Myc mediated signal transduction, CircXPO6 plays an important role in the progression of breast cancer. This discovery can provide new ideas for TNBC molecular targeted therapy.
Yield-trait and SSR-based genetic diversity and population structure analysis in Northeastern Himalayan germplasm collection of Job's tears (Coix lacryma-jobi L.)
Authors: Kumar Amit , Das SP , Pandey Avinash , Singh Shiv Poojan , Kaur Simardeep , Jaiswal Sandeep , W.S. Philanim , Touthang Letngam , Verma V.K. , Singh Binay K. , Mishra V.K. 
Published: February 2024

Abstract
The study characterized 34 Job's tears accessions from the Northeastern Himalayan region using yield-related traits and SSR markers. Genotyping with 17 SSR markers revealed an average of 3.18 alleles per locus, varying from 2 to 4. PIC values ranged from 0.27 to 0.52, averaging 0.41. Clustering and PCoA based on SSR markers grouped the accessions into three major groups. The first three principal coordinates in the PCoA cumulatively explained 41.96% of the variability present in the accessions, with the first and second principal coordinates explaining 22.51% and 10.39% of the molecular variability, respectively. The model-based genetic structure analysis detected the maximal ΔK (80.87) at K = 2, grouping the entire accessions into two subgroups. AMOVA indicated higher genetic variation within individuals (52.86%) than among individuals (47.14%). The high FST value (0.2) suggested significant differentiation between populations. Yield-trait-based analysis resulted in four clusters. Cluster I included six accessions with short height, Cluster II consisted of 12 accessions with high test weight, Cluster III comprised six accessions with high yield, and Cluster IV had nine accessions with early flowering, respectively. PCA extracted three components explaining 67.4% of total variation, with PC1 emphasizing yield and growth-related traits and PC2 highlighting days to flowering and panicle length. Most traits showed positive correlations with yield per plant, especially test weight (0.65, P ≤ 0.01). Path coefficient analysis revealed a strong positive direct effect of test weight and the number of internodes per plant on yield per plant. Cluster analysis and GT biplot analysis showed similar patterns among accessions. However, the Mantel test indicated no significant correlation between genetic and morphological distances (r2 = 0.010, P = 0.41). AMMI analysis and MTSI for yield-related traits identified three promising accessions (IC600638, IC540181, and IC540256) suitable for selection at 10% intensity in future breeding programs.
Scalability and Performance Evaluation of Federated Learning Frameworks: A Comparative Analysis
Authors: Soudan Bassel , Abbas Sohail , Kubba Ahmed , Talib Manar Abu Wasif , Nasir Qassim 
Published: February 2024

Abstract

This paper presents a systematic examination and experimental comparison of the prominent Federated Learning (FL) frameworks FedML, Flower, Substra, and OpenFL. The frameworks are evaluated experimentally by implementing federated learning over a varying number of clients, emphasizing a thorough analysis of scalability and key performance metrics. The study assesses the impact of increasing client counts on total training time, loss and accuracy values, and CPU and RAM usage. Results indicate distinct performance characteristics among the frameworks, with Flower displaying an unusually high loss, FedML achieving a notably low accuracy range of 66–79%, and Substra demonstrating good resource efficiency, albeit with an exponential growth in total training time. Notably, OpenFL emerges as the most scalable platform, demonstrating consistent accuracy, loss, and training time across different client counts. OpenFL’s stable CPU and RAM underscore its reliability in real-world scenarios. This comprehensive analysis provides valuable insights into the relative performance of FL frameworks, offering good understanding of their capabilities and providing guidance for their effective deployment across diverse user bases.
Evaluating the Impact of a Web-Based Gamified Approach on Pharmacology Education in Medical Students
Authors: Rendón-Valencia Laura M. , Pérez Hector J. , Rodriguez Carlos A. , Montoya-Giraldo Maria A. , Zuluaga Andres F. 
Published: February 2024

Abstract
Background
The safe use of drugs is global health concern, and good prescribing depends on the adequate undergraduate training of medical students. However, the extensive theoretical content of each drug, limited motivating didactic strategies and time constrains hamper proper training to minimize medication errors.
Methods
This study aimed to assess the usability of a web-based game designed for the non-traditional teaching of pharmacology, intending to stimulate guided competence among medical students. Additionally, the research aimed to compare the improvement in knowledge acquisition after the game's use. The usability of the web game was initially evaluated by 11 medical students from the University of Antioquia using the Mobile App Rating Scale. Subsequently, the academic performance of 21 students from the same university was assessed before and after using the digital tool.
Results
The usability test, involving 4 women and 7 men with an average age of 20 years, revealed an overall usability score of 4.09. Impressively, 92% of respondents recommended the application, and 50% expressed a willingness to pay for access. Evaluation of academic performance demonstrated a significant improvement in the percentage of correct answers obtained in an academic test using the web game compared to scores obtained prior to its use (median 90% vs 70%, P value = 0.023).
Conclusion
The use of a web game designed to stimulate guided competence holds promise for enhancing the learning experience in pharmacology.
Lung Ultrasound Score for Prediction of Surfactant Administration in Preterm Infants with Respiratory Failure
Authors: Kelner Jacob , Moote Douglas , Shah Rahul , Anuar Amirul , Golioto Annmarie 
Published: February 2024

Abstract

OBJECTIVE: We investigated the predictive value of a lung ultrasound score (LUS) for surfactant administration in a United States Level 4 Neonatal Intensive Care Unit.
STUDY DESIGN: 30 infants born at <37 weeks gestational age with respiratory distress syndrome associated respiratory failure requiring continuous positive airway pressure were included. A LUS was obtained within six hours of life. Surfactant administration in the first five days of life was tracked. Receiver operating characteristic analysis for LUS and surfactant administration was performed.
RESULTS: Median completed gestational age was 32 weeks (31-34w) and median birth weight was 2.0 kg (1.5-2.3kg). LUS for predicting an initial surfactant dose had an area under the receiver operating characteristic curve of 0.97. A score of >9 provided 100% sensitivity and 91% specificity for predicting administration of an initial surfactant dose.
CONCLUSION: A LUS >9 provided excellent sensitivity and specificity for predicting which infants received surfactant.
Associations of Sex Steroid Hormones with C-Reactive Protein Levels in American Children and Adolescents: Evidence from NHANES 2015-2016
Authors: Zhu Zhisheng , Lin Xingong , Wang Chaoyang , Zhu Shize , Zhou Xianying 
Published: February 2024

Abstract
Background: The relationship between sex steroid hormones and high-sensitivity C-reactive protein(hs-CRP) levels in American children and adolescents is understudied. This research will examine this association.
Methods: The study conducted a data analysis from the National Health and Nutrition Examination Survey (NHANES) 2015-2016, adjusting multiple linear regression models with R 4.2.2 and EmpowerStats. A total of 1,768 children and adolescents were surveyed.Data collection involved measurements of serum levels of testosterone, estradiol, sex hormone-binding globulin (SHBG) and hs-CRP.
Results:With the increase in testosterone, a brief rise (β=0.082, P=0.047) followed by an overall decline (β=-0.028, P=0.023) in hs-CRP was observed in the Male Prepubertal population, while a continuous decline (β=-0.002, P<0.05) was seen in the Male Pubertal group. A positive correlation (β=0.047, P<0.05) was found between testosterone and hs-CRP in the Female Prepubertal population, whereas no significant association (β=0.002, P>0.05) was detected in the Female Pubertal group. A significant inverse correlation was observed between estradiol and hs-CRP solely in the Female Pubertal group (β=-0.002, P<0.05), while no association was found in other populations. An inverse relationship between SHBG and hs-CRP was consistently noted across all groups: Male Prepubertal, Male Pubertal, Female Prepubertal, and Female Pubertal.
Conclusions:This study highlighted sex steroid hormones as a vital indicator affecting high-sensitivity C-reactive protein levels in children and adolescents.
Single Document Text Summarization Based on the Modified Cat Swarm Optimization (Mcso) Algorithm
Authors: Rautaray Jyotirmayee , Panigrahi Sangram , Nayak Ajit Kumar 
Published: February 2024

Abstract
In today's digital age, the World Wide Web has provided us with an immense volume of online information. Consequently, the challenge of extracting relevant insights from this vast data has emerged. Recently, text summarization has gained recognition as a solution for distilling valuable orderas of extensive credentials. Depending on the number of credentialsmeasured in favor of summarization is partitioned as single-document and multi-document summarization, which is a complex challenge for researchers in achieving accurate summaries. This research methodology, considered single document summarization by using the following steps they are text-pre-processing, Feature extraction, vectorization, and Modified Cat Swarm Optimization (MCSO) algorithm. Initially, the input documents are pre-processed for cleaning the data and they contain sentence segmentation, word tokenization, stop word removal, and lemmatization. In feature extraction, a score of the sentence is computed using Time Frequency-Inverse Domain Frequency (TF-IDF) also then words are formed toward a vector. After that, the generated vectors are post-processed, and Finally, the Modified Cat Swarm Optimization (MCSO) algorithm is utilized toprovideasummary of the single document with its fitness function. The performance of the model was compared with existing approaches such as Spherical, Rastrigin, and Griewank. To assess their effectiveness, we use benchmark datasets of the Document Understanding Conference (DUC) and evaluate algorithms using diverse metrics such as ROUGE score, F score, and summary accuracy, as well as best-case, worst-case, and average-case analyses. The experimental analysis demonstrates that Rosenbork surpasses other summarization methods included in the study.
Synthesis, Electrical, Dielectric Characterization of PVC/PVA Blended Polymer Films at Various Ratios (0-50%) and Their Utilization in Antibacterial Applications
Authors: Landolssi Salma. , Hdidar Mahdi. , Mariem Chaari. , MAKRAM MEGDICHE , Mourad Arous 
Published: February 2024

Abstract
In this work, the solution casting process is used to create blends out of polyvinyl alcohol (PVA) and polyvinyl chloride (PVC). In the mix formulation, several PVA ratios (from 0–50%) were used. The resulting blends were thoroughly characterized using a variety of analytical methods, such as Fourier-Transform Infrared Spectroscopy (FTIR), Differential Scanning Calorimetry (DSC), and Impedance Spectroscopy. The polymer blend with 25% PVA exhibited the most favorable electrical and dielectric characteristics at room temperature, with electrical conductivity (σ'ac) measuring 4.44 x 10⁻⁷ S/cm and dielectric constant (ε') reaching 1.8 x 10⁶ SΙ. The doped blends were systematically assessed for their antibacterial effectiveness against a variety of pathogens. Results from the agar-well diffusion method indicated a significant improvement in the antibacterial activity of the pure polymers upon ZnOnps nanoparticle doping, with an inhibition zone measuring 18 mm against E. coli (Escherichia.Coli) and 19 mm against S. aureus (Staphylococus.aureus) for the nanocomposite (75 − 25%) PVC-PVA/10% ZnO. Overall, this research demonstrates the promising potential of PVA-PVC blends for antibacterial applications, with ZnONP doping showing to be an efficient technique for increasing their antibacterial activity. The thorough details of this work lay a solid platform for future research and development of these blended materials, which can be used in a variety of biotechnological and industrial domains.
Relaxin combined with transarterial chemoembolization achieved synergistic effect and inhibited metastases of liver cancer in rabbit VX2 model
Authors: Wang Fuquan , Zhu Licheng , Xiong Fu , Chai Bin , Wang Jihua , Zhou Guofeng , Cao Yanyan , Zheng Chuansheng 
Published: February 2024

Abstract
Objective To explore the effect and mechanism of relaxin (RLX) in the growth and metastasis of liver cancer after combination treatment with transarterial chemoembolization (TACE).
Materials and methods HCCLM3 cells and Huh-7 cells were adopted to evaluate the effect of tumor proliferation, migration, and invasion after RLX administration in vitro. The rabbit VX2 model was used to evaluate the biosafety, doxorubicin penetration, local tumor response, synergistic effect and survival benefit of RLX combined with TACE treatment. The effect of RLX combined with TACE on tumor metastasis was also evaluated.
Results RLX had not alternated the proliferation, migration, and invasion of HCCLM3 cells and Huh-7 cells, and the expression of E-cadherin and HIF-1α also remained unchanged but only upregulated the MMP-9 protein in vitro. In the rabbit VX2 model, compared to the received normal saline group (NS) and received TACE mono-therapy group (TACE), the group that received TACE combined with RLX (TACE+RLX) showed improved local tumor response and survival benefit. Furthermore, TACE combined with RLX was found to reduce tumor metastasis. This combination therapy reduced the fibrotic extracellular matrix in the tumor microenvironment, allowing for better penetration of doxorubicin and improved infiltration of CD8+ T cells. Additionally, RLX combined with TACE was able to decrease the expression of HIF-1α. The biosafety of TACE combined with RLX was also confirmed.
Conclusion RLX synergized with TACE by mitigating fibrotic extracellular matrix and tumor hypoxic microenvironment, improving therapeutic effect and inhibiting metastases for the treatment of liver cancer.
Large contribution of the sea-ice zone to Southern Ocean carbon export revealed by BGC-Argo floats
Authors: Liniger Guillaume , Moreau Sébastien , Lannuzel Delphine , Strutton Peter 
Published: February 2024

Abstract
The Southern Ocean (south of 30°S) contributes significantly to global ocean carbon uptake through the solubility pump and phytoplankton productivity. Many studies have estimated carbon export to the deep ocean, but very few have attempted a basin-scale perspective. In this study, we use an extensive array of BGC-Argo floats to improve previous estimates of carbon export across basins and frontal zones, with a focus on the seasonal ice zone (SIZ). We find that the SIZ contributes 33% of the total circumpolar carbon export of 5.08 PgC y− 1. We also show that subsurface carbon respiration, not flux out of the surface ocean, contributes most strongly to the temporal and spatial variability of subsurface particulate organic carbon. Our work highlights the importance of closely monitoring the SIZ, because it is an area prone to extreme events and strong interannual variability, but also for more accurately quantifying the total Southern Ocean carbon sink. Tightening these estimates and their drivers ultimately impacts our understanding of climate variability at the global ocean scale.
Minimum dietary level and mix ratio of krill meal and fish meal to elicit feed intake and growth performance in juvenile Penaeus vannamei
Authors: Nunes Alberto J.P. , Leite Jordana Sampaio , Gomes Caio Gabriel Dantas , Burri Lena 
Published: February 2024

Abstract

This study determined the minimum dietary level of fish meal (FML) and krill meal (KRM) and their mix ratio to elicit feed intake and growth performance in Penaeus vannamei. Ten diets were formulated with graded FML (90, 60, 30 g kg− 1) in combination with 15, 30, and 45 g kg− 1 KRM, and a control diet with 120 g kg− 1 FML. Shrimp (1.28 ± 0.08 g body weight, BW) were stocked in seventy 1-m3 tanks (135 animals m− 2) and after 88 days their growth performance was determined. Feed preference was assessed through two-by-two comparisons in twenty 0.5-m3 tanks over four weeks. No significant differences in survival (93.9 ± 4.5%), gained yield (1,235 ± 92 g m− 2), and feed conversion ratio (1.47 ± 0.09) were observed. Diets with 60 g kg− 1 FML led to faster growth and higher feed intake than 30, 90 and 120 g kg− 1 FML. Shrimp on 30 g kg− 1 FML diets had the lowest BW, especially with 30 − 15 (FML-KRM) and 30–30 diets. Diets with 90 g kg− 1 FML outperformed 30 g kg− 1 FML. The control diet had higher body weight than diets 30 − 15 and 30–30, showing similar results to other diets except 60 − 15. Feed preference was influenced by KRM inclusion, with 15 g kg− 1 KRM resulting in higher apparent feed intake than 30 and 45 g kg− 1. The findings indicate that higher levels of KRM and FML in combination do not contribute to greater feeding stimuli or enhanced growth performance. These results enable the reduction of their utilization, from 120 to 60 g kg− 1 FML and from 45 to 15 g kg− 1 KRM, while still stimulating feed intake and growth performance in whiteleg shrimp.
Factors affecting quality of life in cancer patients with medication related osteonecrosis of the jaw- A cross sectional study- Part 1.
Authors: Gurav Sandeep , Dholam Kanchan , Singh Gurkaran Preet , Sharma Madhura , Rane Pallavi , Jagtiani Kiran 
Published: February 2024

Abstract
Purpose. In recent years, the occurrence of medication related osteonecrosis of the jaw (MRONJ) in cancer patients has garnered increasing attention. In the Indian subcontinent, a scarcity of literature exists on MRONJ-related Quality of Life (QoL). Addressing this critical knowledge gap, our objective was to evaluate the influence of various patient socio-demographic, disease and MRONJ related factors on patient’s QoL.
Methods. Following Institutional Ethic Committee approval and informed consent, a cross-sectional study was conducted enrolling thirty adult cancer patients with MRONJ. The comprehensive evaluation encompassed data collection on socio-demographic, medical history, dental history and MRONJ-related characteristics. To assess various dimensions of QoL, we employed EORTC QLQ-C30 and H&N35 questionnaires to assess the patient's overall and site-specific QoL respectively. Correlational analysis was performed to assess the association of various variables and QoL.
Results. Age, sex, education, tobacco chewing, smoking habits, trismus exhibited no significant correlation with QoL scores. Our findings indicated significant decline in global health status with advancing MRONJ stages and intravenous drug administration. Maxillary MRONJ exhibited significantly better emotional well-being compared to mandibular involvement. Significant association were observed between presence of comorbidities, bone metastasis, extraoral swelling, dental extraction, and adverse scores in various domains of EORTC QLQ-H&N35.
Conclusion. Our results highlight the distinctive challenges encountered by MRONJ patients, emphasizing the potential influence of MRONJ site, stage, and various systemic and local factors on the quality of life in cancer patients. Further exploration in larger, prospective studies are essential, offering valuable insights for long-term follow-up of these patient subgroups.
A novel method for classification of 3D point clouds based on the improved PointNet++
Authors: 刘 子铭 , Li Guoguang , Wang Beibei , Yan Bin , Gao Ruizhen 
Published: February 2024

Abstract
In the field of deep learning, point clouds are used as the basic input format for 3D data, which can provide detailed geometric information about objects in the original 3D space. PointNet + + is a deep learning network that uses point cloud data as an input format, which avoids the losses associated with the previous conversion of point cloud into 3D voxelization as well as a collection of 2D images. Although PointNet + + can directly process point cloud data in various ways, due to the disordered, irregular and unevenly distributed nature of point cloud data, the effect of extracting point cloud features is not ideal, and due to the large amount of point cloud data, it also leads to the training model falling into the local optimal solution, which affects the training results. To address these problems, some effective methods and strategies have emerged in recent years. In this thesis, three methods are proposed on the basis of PointNet + + network: feature similarity-based attention pooling, adaptive regularization term and fixed random seed method to improve the performance of PointNet + + network. Experiments show that the improvement methods proposed in this paper effectively improve the feature extraction accuracy, which in turn improves the accuracy of PointNet + + network for classification on Modelnet40 dataset, with an overall improvement of 0.68% compared with PointNet++.