bluuebunny/crossref_metadata_2025_split huggingface dataset:
Clinical significance and biological roles of lncRNA CTBP1-AS in Polycystic Ovary Syndrome
Authors: Qin Li , Tian Chun , Huang Liying , Qin Xiao , Ling Shaohua , Wei Jingxi , Huang Bingsheng , Li Lining , Luo Xiaoqiong 
Published: November 2024

Abstract

Polycystic ovary syndrome (PCOS) is among the most prevalent endocrine and metabolic disorders affecting women of reproductive age. Multiple factors, including genetic predisposition, environmental influences, and lifestyle choices, are considered significant contributors to the development of PCOS. A kind of long noncoding RNA—C-Terminal binding protein 1 antisense (lncRNA CTBP1-AS) has been proven to be a new androgen receptor regulator. Previous studies showed that the lncRNA CTBP1-ASgene was highly expressed in a small sample of PCOS patients and was associated with the risk of PCOS, but its specific function and mechanism have not been clearly reported. In this study, the expression of lncRNA CTBP1-ASwas detected by real-time quantitative PCR (RT-qPCR) in PCOS patients. In addition, lncRNA CTBP1-AS was overexpressed in KGN cells to explore its effect on granulocyte function. The results showed that the expression levels of lncRNA CTBP1-AS were increased in serum single nucleated cells and follicular fluid granulosa cells of PCOS patients compared with controls, which correlated with androgen levels and sinus follicle number; overexpression of lncRNA CTBP1-AS increased apoptosis and decreased cell migration ability, thus promoting the progression of PCOS. This study explores new biomarkers and therapeutic targets for the clinical individualised diagnosis and treatment of PCOS.
Prediction of the endoleak risk after EVAR based on multimodal geometric characteristics before AAA surgery
Authors: He Wei , Peng Chen , Cai Yuzhou , Qiao Guanyu , Zhang Yaoyi , Wang Jun , Zhang Qing , Zhu Ting , Lin Feng , Fu Weiguo 
Published: November 2024

Abstract

Endovascular Aortic Aneurysm Repair (EVAR) can effectively prevent the continuous growth and rupture of Abdominal Aortic Aneurysms (AAA), but endoleak is a serious complication after the EVAR operation. Innovative techniques are presented in this work to solve this problem: (i) Local multi-dimensional anatomical features and global morphological features are conceptualized and extracted based on a statistical shape model (SSM), and (ii) Combined with morphological features and different machine learning (ML) methods, the occurrence of endoleak type I and II can be effectively predicted. The results show that the model using XGBoost achieves the best prediction performance for the occurrence of endoleak, with an AUC of 0.93 and accuracy of 0.85; further in type I and II endoleak predictions, the AUC achieves 0.90 and 0.80, and the accuracy of 0.81 and 0.74, respectively. Compared with the SOTA technologies, our ML-enabled multi-modal morphological feature extraction outperforms in predicting endoleak occurrence before surgery, avoiding excessive follow-up, and improving long-term management of patients in clinical practices.
Metagenomic insights into the mechanisms of protein degradation in the natural fermentation of cigar tobacco leaves
Authors: Wu Xue , Liu Tianze , Wang Tong , Gao Yumeng , Han Lu , Fang Song , Wang Qian , Ning Yang , Dou Yuqing 
Published: November 2024

Abstract

With the continuous expansion of cigar tobacco consumer groups, the sales of domestic cigar tobacco are rapidly rising, showing good development prospects, but at present, the enhancement of the aroma quality of domestic cigar raw materials is a major difficulty. In this study, macro-genomic technology was used to study the mechanism of protein degradation in cigar tobacco leaves, aiming to provide a reference for the aroma enhancement technology that achieves the fermentation effect through gene introduction into microorganisms. After 80 days of natural fermentation, proteases in cigar tobacco leaves convert proteins into amino acids. Microorganisms of the genera Sphingomonas and Pseudomonas were dominant in the protein degradation of cigar tobacco leaves, of which S14C1332, S19C1332, S25C119, S2C1332, S4C1332, and S7C1332 were functional genes, and the metabolic pathway revealed that there was a biotechnological potential of these genes to enhance the flavor of cigar tobacco leaves.
Pioneering Genome Editing in Parthenogenetic Stick Insects: CRISPR/Cas9-Mediated gene knockout in Medauroidea extradentata
Authors: Cristina Giulia Di , Dirksen Elina , Altenhein Benjamin , Büschges Ansgar , Korsching Sigrun I. 
Published: November 2024

Abstract

The parthenogenetic life cycle of the stick insect Medauroidea extradentata offers unique advantages for the generation of transgenic lines, as an isogenic and stable transgenic line can in principle be achieved already in the first generation. However, genetic tools for the manipulation of their genes had not been developed until now. Here, we successfully implement CRISPR/Cas9 as a technique to modify the genome of the stick insect Medauroidea extradentata. As proof-of-concept we targeted two genes involved in the ommochrome pathway of eye pigmentation (cinnabar and white, second and first exon, respectively), to generate knockout (KO) mutants. Microinjections were performed within 24h after oviposition, to focus on the monocellular (and haploid) stage of development. The KOs generated resulted in distinct eye and cuticle colour phenotypes for cinnabar and white. Homozygous cinnabar mutants showed pale pigmentation of eyes and cuticle, while homozygous white KO resulted in a completely unpigmented phenotype in developing embryos. In conclusion, we show that CRISPR/Cas9 can be successfully applied to the genome of M. extradentata by creating phenotypically different and viable animals. This genetic toolbox can now be employed to create stable genetically modified lines using a parthenogenetic non-model organism.
Effectiveness of a Remedial Educational Program on Enhancing Spelling Skills in Primary School Students with Learning Disabilities
Authors: Alamri Ayman 
Published: November 2024

Abstract

Background
Learning disabilities (LD) significantly challenge academic achievement, particularly in spelling proficiency among primary school students. Remedial educational programs aim to address these challenges by providing targeted interventions.
Objectives
This study aimed to assess the effectiveness of a remedial educational program on spelling skills among primary school students with learning disabilities. The objectives include comparing pre-test and post-test scores, investigating retention of spelling skills over time, exploring variations among subgroups, and identifying factors contributing to the program's effectiveness.
Method
A quasi-experimental design with a control group and an experimental group was utilized, involving (24) Primary students diagnosed with learning disabilities who participated in the study. The Learning Disabilities Spelling Scale (LDSS) and the program were used in the study, The statistical program (AMOS 26) and the SPSS statistical packages were used to compare the experimental and control groups in the pre-test, post-test, and follow-up, and evaluate the differences between the control and experimental groups.
Results
Findings revealed significant differences in post-test scores between the experimental and control groups indicating the effectiveness of the remedial educational program. Moreover, the experimental group showed no significant differences from post-test to follow-up assessments, supporting the sustained positive outcomes associated with the intervention.
Conclusion
The findings suggest that the Remedial Educational Program effectively enhances spelling skills among primary school students with learning disabilities. Future studies should replicate these findings with larger samples and explore the long-term effects of remedial interventions on various academic outcomes.
Menadione-mediated current amplification in yeast suspensions: Application to evaluation of metabolism inhibition and carbohydrate assimilation
Authors: Yamashoji Shiro , Mamun Md Arafat Al , Bari Md Latiful 
Published: November 2024

Abstract

In order to assess the activity of the live yeast, this study suggested measuring the menadione-mediated current in real-time following the addition of accelerators or inhibitors to the suspension of yeast cells. The study attempted to demonstrate the association between menadione reduction and proliferation of yeast by employing carbohydrates inciting NADH generation, substrates inhibiting NADH production, inhibitors suppressing NAD(P)H: menadione reductase, and membrane solubilizers. Amperometry technique was used to quantify the electric current generated when menadione is reduced by living yeast. The activity of the yeast can be evaluated by measuring the electric current created owing to transfer of electron to the anode by menadione reduced by active yeast cells. A current increased at a fixed voltage of 500 mV after the addition of menadione to yeast cell suspension, and the effects of carbohydrates, membrane solubilizers and inhibitors for glycolysis and NAD(P)H: menadione reductase were observed within 10 min. The inhibitory effects on the current were proportional to those on proliferation. This method is expected to be applicable to the quick determination of yeast cell activity under various stress conditions, as it was found that the current decreased in response to different types of damage to yeast.
Differential Gastric Motility, Gut Hormone, and Appetite Changes Following a Mixed Meal in People With Obesity and Healthy Controls
Authors: Hellström Per , Javidi Darius , Webb Dominic-Luc , Diaz Hetzel , Ud-din Moeen , Elias Khalid , Sundbom Magnus 
Published: November 2024

Abstract

Introduction:
Understanding meal-induced changes in gut hormones, gastric motility, and appetite is crucial for developing next generation obesity therapies employing permutations of gut hormone analogues. The goal of this study was to investigate how GLP-1, GIP, ghrelin, and motilin interact to influence appetite and gastric motility at physiologic conditions and elucidate differences between healthy individuals and individuals with obesity.
Methods
Fasted study subjects (healthy n = 41; obese n = 32) consumed a 270-kcal meal and wireless motility capsule. GIP, active GLP-1, acyl-ghrelin, and motilin were measured by electrochemiluminescence. MotiliGI and GIMS software were used for motility analysis, while visual analog scoring measured appetite.
Results
Gastric emptying was more rapid in individuals with obesity than healthy controls (p < 0.01). Gastric emptying time was negatively associated with both motility index and hunger contraction frequency (p < 0.01, p < 0.05) in the healthy but not in the obese In controls, gastric motility index correlated positively with ghrelin (p < 0.01) and motilin (p < 0.0001) and negatively with GIP (p < 0.05), but not GLP-1. In the obesity group, no gut hormones correlated with motility index. GIP and GLP-1 correlated with decreased hunger in both groups (p < 0.0001, p = 0.001) and (p < 0.0001, p < 0.05), along with increased satiety in controls (p < 0.0001, p = 0.001) and the obesity group (p = 0.049, p = 0.01). Ghrelin correlated positively with hunger (p < 0.0001) and negatively with satiety (p = 0.049) in controls, but not individuals with obesity. Motilin was neither associated with hunger nor satiety in either group.
Conclusion
In the gastric phase, individuals with obesity show rapid gastric emptying with altered flatline hormone and motility meal-responses. In healthy controls, GIP promotes satiety, and ghrelin and motilin promote hunger through actions on motility. Like GIP, GLP-1 promotes satiety along with trending suppression of postprandial gastric motility.
Factors associated with high fear of cancer recurrence in young- and middle-aged patients with lung cancer:A cross-sectional study applying the social-ecological model
Authors: Wang Qin , XIA Guanghui , Liu Feng , Yang Xiaoxin 
Published: November 2024

Abstract

Objectives
To identify the factors associated with FCR in young- and middle-aged patients with lung cancer (LC) by applying the social-ecological mode through a cross-sectional study design.
Methods A total of 16
5 patients aged 18–64 years at diagnosis, were recruited to completed the Fear of Progression Questionnaire-Short Form (FoP-Q-SF), Brief Illness Perception Questionnaire, Perceived Social Support Scale, Brief Fatigue Inventory, and Hospital Anxiety and Depression scale. Self-reported questionnaires and electronic medical records were used for collecting sociodemographic and clinical variables.
Results
The mean FoP-Q-SF score was 30.12 ± 10.12; 59 patients (35.8%) had high FCR as indicated by a score of ≥ 34. Multiple linear regression analyses showed that factors in the intrapersonal level including female ( p < 0.001), illness perception ( p < 0.01), and fatigue (p < 0.01), and factors in the interpersonal level including only child ( p < 0.01) and social support (p < 0.01), and the factor in the social-economic level including working status( p < 0.000), were independent predictors of high FCR.
Conclusions
Multiple factors influence FCR in young- and middle-aged patients with LC.We suggest screening and early detection of FCR based on the above predictors. Meanwhile,multidimensional perspectives, including intrapersonal, interpersonal, and social-economic levels, should be used to develop comprehensive FCR management strategies.
Dynamic Incremental Learning in Medical Imaging
Authors: Wang Xiaoyan , Wang Jianzhi , lan quan , Huang Chenxi , Xia Kaijian 
Published: November 2024

Abstract

The foundational models such as YOLO, Faster R-CNN, and SSD have demonstrated substantial potential in computer vision, particularly in object detection. However, their application in medical imaging faces significant challenges due to the need for fine-grained recognition of small lesions and the continuous emergence of new disease types. Directly extending these models to medical image object detection is difficult, as they often struggle with generalizing to unseen radiological findings. Additionally, incremental learning in this domain is hampered by issues such as catastrophic forgetting and background shift. Our study proposes an incremental learning-based approach to enhance the performance and stability of medical image object detection models. This method addresses the unique challenges of medical imaging, including small lesion detection and low visual contrast, by combining dynamic weighted loss, augmented pseudo labels, and confidence score distillation. Incremental learning allows the model to adapt to new data without forgetting previously learned knowledge, which is essential given the limited size and evolving nature of medical imaging datasets. The main contributions of this study include the development of a dynamic weighted loss and network tailored for medical images, which improves detection accuracy. We also generate reliable pseudo-labels and apply data augmentation to address background shift and sample imbalance. Furthermore, we introduce an object confidence knowledge distillation method to enhance detection stability. Our approach demonstrates significant improvements in detection performance, showcasing its potential for practical clinical application and its implications for future medical image analysis and diagnosis.
Evaluating the Efficacy of Fuzheng Shengjin Decoction in Lung Cancer Treatment: A Clinical Study
Authors: Liu Boning , Liu Jian 
Published: November 2024

Abstract

Background: Lung cancer is a leading cause of cancer-related death worldwide, with growing interest in complementary and alternative medicine (CAM) approaches to improve patient outcomes. This study aimed to evaluate the safety and efficacy of the traditional Chinese medicine (TCM) formulation, Fuzheng Shengjin Decoction, in lung cancer treatment.
Methods: Fifty patients diagnosed with lung cancer received Fuzheng Shengjin Decoction. Primary outcomes included changes in lung function indices, symptom improvement, and quality of life, assessed via validated questionnaires (EORTC QLQ-C30 and QLQ-LC13). Symptom improvements in hemoptysis (42%), sputum production (68%), and cough (75%) were recorded. Lung function showed a mean increase of 0.25 liters in FEV1 and 0.18 liters in FVC. Quality of life improved, with a mean gain of 12.5 points in the EORTC QLQ-C30 Global Health Status and a mean decrease of 15.2 points in the EORTC QLQ-LC13 Lung Cancer Symptom Scale.
Results: The decoction was well tolerated, with mild side effects such as diarrhea (16%) and nausea (20%) being the most common.
Conclusion: This observational study suggests that Fuzheng Shengjin Decoction may be a promising complementary treatment for lung cancer, potentially improving symptoms, lung function, and quality of life. However, larger randomized controlled trials are necessary to confirm these findings
First evaluation of [ 68 Ga]Ga-NOTA-(TMVP1) 2 for imaging VEGFR-3 in ovarian cancer patients
Authors: Chen Xi , Li Fei , Si Yao , Dai Jun , Xi Ling 
Published: November 2024

Abstract

Objective
To evaluate the safety and VEGFR-3 imaging effects of [68Ga]Ga-NOTA-(TMVP1)2 in ovarian cancer patients.
Methods
13 patients with ovarian cancer were recruited and underwent radionuclide imaging with [68Ga]Ga-NOTA-(TMVP1)2. The safety of [68Ga]Ga-NOTA-(TMVP1)2 was assessed in vivo (including vital signs, biochemical indices, ECG, allergic reactions, etc.) and its imaging effect on VEGFR-3 was explored.
Results
A total of 1 patient with primary ovarian cancer and 12 patients with recurrent ovarian cancer, with an age range of 41–54 years, were included in the study. 13 ovarian cancer patients had a total of 49 18F-FDG-positive lesions, 63.3% of which were positive for [68Ga]Ga-NOTA-(TMVP1)2. The higher expression of VEGFR-3 in [68Ga]Ga-NOTA-(TMVP1)2 -positive ovarian cancer lesions was found by immunohistochemical staining, which was positively correlated. Meanwhile, [68Ga]Ga-NOTA-(TMVP1)2 is a safe radiotracer as no significant side effects have been found in the human.
Conclusions
In conclusion, [68Ga]Ga-NOTA-(TMVP1)2 enables precise molecular imaging of VEGFR-3 in ovarian cancer patients with a favourable safety profile, providing a new tool for the in vivo assessment of VEGFR-3 in ovarian cancer.
Synchronization Induction Based on Precise Identification of Cell Cycle Progression to Enhancing Polyploid Induction
Authors: Ling Aoyu , Xia Yufei , Jin Yijia , Jiang Shenxiu , Shu Jianghai , Du Kang , zhang pingdong , kang xiangyang 
Published: November 2024

Abstract

Asynchrony in the cell cycle is a critical limiting factor in the efficiency of polyploid induction. While cell cycle inhibitors can increase the proportion of cells suitable for chromosome doubling, efficient polyploid induction through synchronization requires precise identification of cell cycle progression. The present study, flow cytometry and EdU fluorescence labeling were used to precisely track the cell cycle progression of differentiated explants during in vitro culture. Results showed that the increase in the S phase began two days after differentiation, while the G2/M phase started on day four. Based on this, optimal treatment time points for synchronization were identified. Comet assays and other techniques were used to determine the appropriate concentration (1.5 mM) and duration (24 hours) of 5-aminouracil, which narrowed down the range of subsequent orthogonal experiments. This optimization significantly (p < 0.05) improved synchronization efficiency and increased the tetraploid induction rate to an average of 40.90%. These findings demonstrate that by precisely identifying key cell cycle phases, synchronization techniques can be efficiently optimized to enhance polyploid induction. Our findings offers a systematic method for improving breeding efficiency in woody plants and could advance the development of more efficient polyploid induction systems in plant breeding.
Research on the Improvement of Bacterial Foraging Algorithm for Flexible Job shop Scheduling Problem
Authors: Wang Xiaoyan , Wang Shuaiwen , Wang Taoliang 
Published: November 2024

Abstract

Machine workload is an important factor to be considered in flexible job shop scheduling, and the existing research has achieved certain results in optimizing the total workload and the maximum machine workload, but the workload balancing among machines is insufficiently considered, the workload imbalance will lead to problems such as underutilization of production potential and machine overload failure. Therefore, this paper first proposes a flexible job shop scheduling problem that considers workload balancing, and an optimization model was established with the goal of minimizing the maximum completion time(Makespan) and minimizing the workload balancing factor, aiming to fully unleash the production potential while avoiding machine overload and further improve the production efficiency. In order to effectively solve the proposed problem, a series of improvements were made to optimize the defects of the bacterial foraging optimization algorithm(BFOA), such as easy to precocious convergence and the “escape” of elite individuals, an improved bacterial foraging optimization algorithm(IBFOA) was proposed. The proposed algorithm designs and introduces Logistic-Circle chaos mapping to enhance the quality of the initial population;An adaptive dynamic step size is designed to ensure the optimization efficiency and accuracy; Improved reproduction operation to avoid precocious convergence; An adaptive migration probability is designed to avoid the "escape" of elite individuals. The results of the case testing show the effectiveness of the proposed model and the superiority of the improved algorithm.
Immunomodulatory Effects of Risperidone and Methylphenidate on Dendritic Cells in Methamphetamine Addicts: Insights from a Detoxification Study
Authors: Mosayebi Ghasem , Moazzeni Seyed Mohammad , Farahani Hadiseh , Solhi Hassan , Rafiei Mohammad , Ghazavi Ali 
Published: November 2024

Abstract

Background and aim:
Drug abuse can impact the function of immune cells, leading to a compromised immune system response. This study aimed to investigate the immunomodulatory effects of methamphetamine and its detoxification agents on peripheral blood dendritic cells.
Methods:
Thirty individuals with methamphetamine addiction were divided into two groups. One group received treatment with Risperidone, while the second group was treated with a combination of Risperidone and Methylphenidate. The percentages of myeloid and plasmacytoid dendritic cells, as well as their surface markers, were assessed before and after the detoxification program.
Results:
The percentages of both CD11c+ and CD123+ dendritic cells in peripheral blood were significantly lower in methamphetamine addicts compared to the control group. Detoxification with Risperidone corrected this reduction, while the combination of Risperidone and Methylphenidate produced adverse effects. The expression of HLA-DR, CD11c, and CD123 markers was downregulated in the dendritic cells of methamphetamine addicts. Treatment with Risperidone restored these markers, whereas the combination therapy further exacerbated the downregulation of these markers.
Conclusion:
The findings suggest that detoxification with Risperidone may help ameliorate the immunological disorders associated with methamphetamine use.