bluuebunny/crossref_metadata_2025_split huggingface dataset:
Comprehensive pan-cancer analysis of the prognostic value of LOXL1
Authors: Wu Qingqing , Cao Liyu 
Published: January 2024

Abstract
Lysyl oxidase-like 1 (LOXL1) is widely expression in a variety of human tissues and can regulate cell differentiation. However, its role in a variety of tumors is still unclear. In this study, we aimed to study the role of LOXL1 across cancer. First, we downloaded clinical data from the UCSC and TCGA databases, and studied the mRNA expression levels of LOXL1 in TCGA_GTEx samples, TCGA samples and paired samples of TCGA, respectively. Subsequently, Kaplan-Meier analysis was performed for 33 kinds of tumors in TCGA, and LOXL1 was found to affect the prognosis. Clinical correlation analysis and univariate Cox regression analysis were carried out. In addition, the representative cancer renal clear cell carcinoma (KIRC)which had a sample size of more than 500 was selected to construct a nomgram to confirm the prognostic value of LOXL1 in cancer. The association between LOXL1 and immune cell infiltration was also determined. Finally, functional enrichment analysis was carried out to explore the potential signaling pathways which LOXL1 may participate. In summary, our research shows that LOXL1 is differentially expressed in many kinds of tumors and is related to the clinical outcome and immune microenvironment of many tumors. LOXL1 may participate in the occurrence and development of tumors through the PI3K-AKT signaling pathway and immune-related pathways.
A high-precision automatic extraction method for shedding diseases of painted cultural relics based on three-dimensional fine color model
Authors: Hu Chunmei , Huang Xiangpei , XIA Guofang , LIU Xi , MA Xinjian 
Published: January 2024

Abstract

In recent years, with the development of three-dimensional digitization of cultural relics, most cultural relic protection units have a large number of fine three-dimensional data of cultural relics, especially complex geometric objects such as painted cultural relics. At present, how to automatically extract surface disease information from the fine three-dimensional color model of painted cultural relics and avoid the accuracy loss caused by reducing the dimension by conventional methods is an urgent problem to be solved in the investigation of cultural relics diseases.In view of the above problems, this paper proposes an automatic and high-precision extraction method for cultural relics surface shedding diseases based on three-dimensional fine data. Firstly, this paper designs a two-dimensional and three-dimensional integrated data conversion model based on OSG three-dimensional engine, which realizes the mutual conversion between three-dimensional color model texture and two-dimensional image. Secondly, a SLIC segmentation algorithm with adaptive K value is proposed, which solves the problem of superpixel K value setting and improves the accuracy of image segmentation. Finally, through the two-dimensional and three-dimensional integrated model, the disease is statistically analyzed and labeled on the three-dimensional model.Experiments show that for painted plastic objects with complex surfaces, the disease extraction method based on three-dimensional fine model proposed in this paper has improved geometric accuracy compared with the current popular orthophoto extraction method, and the disease investigation is more comprehensive ; compared with the current three-dimensional manual extraction method in commercial software, this method greatly improves the efficiency of disease extraction while ensuring the extraction accuracy. The research method of this paper activates a large number of existing three-dimensional fine data of cultural protection units, and converts data mining and analysis from conventional two-dimensional data to three-dimensional data, which is more in line with the scientific utilization of data in accuracy and efficiency, and has certain scientific research value, leading value and practical significance.
Design And Analysis of 2-Dof Flexure Based Micromanipulator With Bridge Type Amplifier
Authors: Fuad Abdullah Al , Siddiqui M.A. Shadab , Hossain Syed Mohammad 
Published: January 2024

Abstract

In this study, a novel 2-DOF flexure-based micromanipulator for applications requiring precise positioning is designed and analyzed. The micromanipulator has a bridge-type amplification mechanism and an in-plane XY micropositioning stage that make it very stiff and accurate. The findings of the mechanism's examination using finite element analysis (FEA) and simulations indicate that the workspace range is 22.2 mm and the natural frequency is 150 Hz. The study also looks into how the characteristics of the material affect the mechanism's performance. The micromanipulator is fabricated using Al 7075-T6, demonstrating a displacement amplification ratio of 9.68. Geometrical modeling is established. The result shows that a compliant parallel micromanipulator’s workspace is obtained at ± 191.81 µm× ±192.41 µm. The amplification ratio is 6.77 analytically and 6.19 computationally. The natural frequency was found to be 2134 Hz and validated analytically. The study's findings demonstrate the potential of flexure-based mechanisms for achieving precise positioning in micro-scale applications. Overall, the study shows the promise of flexure-based mechanisms for applications requiring precise positioning, representing a substantial leap in the field of micro-manipulation.
Complete genome sequence of a novel alternavirus isolated from the phytopathogenic fungus Colletotrichum fioriniae
Authors: xu xiaowen , Li Jincang , Hai Du , Wang Yixun , Li Jinying , Zha Yuping 
Published: January 2024

Abstract
A novel double-strand RNA(dsRNA) mycovirus, named “Colletotrichum fioriniae alternavirus1(CfAV1)”, was isolated from the strain CX7 of Colletotrichum fioriniae, the causal agent of Walnut anthracnose. The complete genome of CfAV1 is composed of three dsRNA segments, dsRNA1(3528nt), dsRNA2(2485nt), and dsRNA3(2481nt). RNA-dependent RNA polymerase (RdRp) is encoded by dsRNA1, and dsRNA2 and dsRNA3, respectively, encode two hypothetical proteins. Based on multiple sequence alignments and phylogenetic analysis, CfAV1 was identified as a new member of the proposed family Alternaviridae. This is the first report of an alternavirus that infects phytopathogenic fungus C. fioriniae.
Maternal and perinatal outcomes after prenatal or postnatal surgical repair of myelomeningocele
Authors: Callou Rebeca Torquato , Faquini Silvia de Lourdes Dutra Loreto , Santos-Neto Orlando Gomes , Faquini Igor , Furtado Geraldo , Furtado Maria de Fátima Quintas , Souza Gustavo Fonseca de Albuquerque , Lira Marcela Maria Cavalcante , Souza Alex Sandro Rolland 
Published: January 2024

Abstract
Purpose
To evaluate maternal and perinatal outcomes following modified open fetal or postnatal surgery to repair myelomeningocele at a pioneering referral center for prenatal surgery in northeastern Brazil.
Methods
This observational, retrospective cohort study assessed data recorded at the Instituto de Medicina Integral Prof. Fernando Figueira between December 2014 and May 2020. Pregnant women with fetuses diagnosed with myelomeningocele were enrolled. Exclusion criteria consisted of cases for which medical records were unavailable and those for which intrauterine repair was not recommended. Student’s t-test, Welch’s t-test, the chi-square test and Fisher’s exact test were used, as appropriate, in the statistical analysis. Significance level was 5%. Risk ratios (RR) and their 95% confidence intervals (95%CI) were calculated.
Results
Of the 134 pregnant women identified in the database, 45 were included: 26 women underwent fetal surgery and 19 infants were operated after birth. Pregnancy complications were more common in the fetal surgery group, including premature rupture of membranes (RR: 14.0; 95%CI: 0.8-263.5; p = 0.027) and other complications (RR: 5.3; 95%CI: 1.2–22.8; p = 0.025). Fetal surgery was significantly longer than postnatal surgery (mean duration 226 x 71 minutes, respectively; p < 0.001). Prematurity was more common with fetal (79.2%) compared to postnatal surgery (13.3%) (RR: 5.9; 95%CI: 1.4–25.5; p = 0.017). Although ventriculoperitoneal shunts were more common in the postnatal (18.2%) compared to the prenatal group (0%), the two groups were statistically similar (p = 0.50).
Conclusion
Prenatal myelomeningocele repair was associated with more cases of adverse pregnancy outcomes and prematurity. Conversely, no cases of open fetal surgery required ventriculoperitoneal shunting.
The effectiveness of the STOP-X training program on the knee valgus angle and balance in female basketball players with dynamic knee valgus
Authors: Rostami Mohadeseh , Sedaghati Parisa , Daneshmandi Hassan 
Published: January 2024

Abstract
Background: Dynamic knee valgus (DKV) accompanied by poor balance is the cause of anterior cruciate ligament (ACL) injury in athletes, and the identification and correction of these factors are always of interest to researchers. Therefore, the purpose of this research was to investigate the effect of the STOP-X program on the knee valgus angle and on static and dynamic balance in female basketball players with DKV defects.
Methods: The present study was a quasi-experimental study. The samples of this research included 30 female basketball players with DKV defects who were purposefully selected from the statistical population of female basketball players and were randomly assigned to two control (n=15) and experimental (n=15) groups. Dynamic knee valgus status was evaluated with the single-leg landing (SLL) test, static balance status was evaluated with the BASS STICK test, and dynamic balance status was evaluated with the Y-balance test (YBT). As a warm-up program, the experimental group performed the STOP-X program for 25-40 minutes for eight weeks (three times per week), and the control group performed their traditional warm-up program. The data were analyzed by ANCOVA and paired-samples t tests with SPSS version 26.
Results: The results showed that with the use of the STOP-X program, there was a significant difference between the experimental and control groups in terms of the knee valgus angle (η2=0.72, P=0.001), static balance (η2=0.47, P=0.001), and total dynamic balance score (η2 = 0.74, P = 0.001). Therefore, the experimental group performed better than the control group.
Conclusion: In addition to reducing the knee valgus angle, applying STOP-X preventive warm-up exercises can improve static and dynamic balance in female basketball players with DKV defects. Therefore, it can be recommended that sports trainers benefit from these advantages by substituting STOP-X preventive exercises instead of traditional warm-up.
Revealing static and dynamic biomarkers from postprandial metabolomics data through coupled matrix and tensor factorizations
Authors: Li Lu , Yan Shi , Horner David , Rasmussen Morten A. , Smilde Age K. , Acar Evrim 
Published: January 2024

Abstract

Introduction. Longitudinal metabolomics data from a meal challenge test contains both fasting and dynamic signals, that may be related to metabolic health and diseases. Recent work has explored the multiway structure of time-resolved metabolomics data by arranging it as a three-way array with modes: subjects, metabolites, and time. The analysis of such dynamic data (where the fasting data is subtracted from postprandial states) reveals dynamic markers of various phenotypes, and differences between fasting and dynamic states. However, there is still limited success in terms of extracting static and dynamic biomarkers for the same subject stratifications.
Objectives. Through joint analysis of fasting and dynamic metabolomics data, our goal is to capture static and dynamic biomarkers of a phenotype for the same subject stratifications providing a complete picture, that will be more effective for precision health.
Methods. We jointly analyze fasting and dynamic metabolomics data collected during a meal challenge test from the COPSAC2000 cohort using coupled matrix and tensor factorizations (CMTF), where the dynamic data (subjects by metabolites by time) is coupled with the fasting data (subjects by metabolites) in the subjects mode.
Results. The proposed data fusion approach extracts shared subject stratifications in terms of BMI (body mass index) from fasting and dynamic signals as well as the static and dynamic metabolic biomarker patterns corresponding to those stratifications. Specifically, we observe a subject stratification showing the positive association with all fasting VLDLs and higher BMI. For the same subject stratification, a subset of dynamic VLDLs (mainly the smaller sizes) correlates negatively with higher BMI. Higher correlations of the subject quantifications with the phenotype of interest are observed using such a data fusion approach compared to individual analyses of the fasting and postprandial state.
Conclusion. The CMTF-based approach provides a complete picture of static and dynamic biomarkers for the same subject stratifications - when markers are present in both fasting and dynamic states.
Sparse Friendly Distillation Using Feature Decoupling
Authors: He WeiHong , Fu YuLi , Xiang Youjun 
Published: January 2024

Abstract
In our paper, we introduce the sparse-friendly distillation framework as an effective training strategy for knowledge distillation. While model sparsity techniques have been widely adopted to reduce training overhead, sparse student models often struggle to achieve good performance in knowledge distillation. To address this issue, our framework leverages the observation that sparse student models exhibit different behaviors in foreground and background features. We separate these features using different pooling techniques and apply separate mean squared error (MSE) feature distillation. Furthermore, we dynamically adjust the weights of the two loss components to optimize performance. Experimental results on CIFAR-10 and CIFAR-100 benchmarks demonstrate significant performance improvements, validating the effectiveness of our methodology. Additionally, we provide a comprehensive analysis of our experimental results, further validating the effectiveness of our approach.
Maternal smoking around birth and psychiatric disorders of offspring: A Mendelian Randomization Study
Authors: Zhang Zheng , Luo Huirong , Wang Xueqian , Zhang Yinlin , Li Junyao , Hu Renqin , Guo Yanwei , Tan Jinglan , Li Jiazheng , Wang Yating , Luo Qinghua 
Published: January 2024

Abstract
Objective: To investigate the causal effect of maternal smoking around birth on the risk of four psychiatric disorders in offspring using Mendelian randomization (MR);
Methods Genome-wide association studies (GWAS) data were extracted from published data on maternal maternal smoking around birth and four psychiatric disorders, including attention deficit hyperactivity disorder (ADHD), autism spectrum disorder (ASD), bipolar disorder (BD) and major depressive disorder (MDD). Inverse variance weighting (IVW), weighted median (WM), and MR-PRESSO methods were applied, and a comprehensive MR analysis and sensitivity analysis were conducted to explore the causal relationship between maternal smoking around birth and the risk of developing the four psychiatric disorders, using the dominance ratio (OR) as an evaluation index;
Results Smoking before and after delivery was associated with ADHD (IVW: OR=12.299, 95% CI=3.341-45.27, P<0.001) and MDD (IVW: OR=5.789, 95% CI=2.576-13.011, P<0.001);
Conclusion Our study is based on genetic data, revealing a potential causal relationship between maternal smoking before and after birth and the incidence of attention deficit hyperactivity disorder and severe depression in offspring.
Wind farm impact on climate, based on weather observation in two European locations.
Authors: Kuca Mikolaj 
Published: January 2024

Abstract
The unprecedented scale of wind farm development on the coasts of Europe and America overlaps with observable climate change in the context of declining summer precipitation. In search of methods to trace this correlation and in an effort to precisely assess the impact, I chose specific locations where the phenomenon is observable in the form of altered meteorological data. Similarly to the increases in atmospheric CO2, the effect is very small, but its long-term impact will eventually lead to significant climate devastation in these densely populated areas. Minor changes are difficult to grasp. When standing on the seashore, it's not easy to notice any deviations, those must be looked for inland. My research is the first attempt of estimating the impact of the widely erected offshore wind farms, and it is being conveyed in order to start a debate on the environmental viability of such projects. Based on the analysis of meteorological data in these precisely selected European locations, I am presenting the results indicating the degrading impact of the offshore wind farms on climate in the form of inland dehydration leading to desertification in particular.
Investigating the efficacy of purified tannin extracts from underutilized temperate forages in reducing enteric methane emissions in vitro
Authors: Verma Supriya , Akpensuen Tersur Theophilus , Wolffram Siegfried , Salminen Juha-Pekka , Taube Friedhelm , Blank Ralf , Kluß Christof , Malisch Carsten Stefan 
Published: January 2024

Abstract
The study investigated how the concentration and composition of purified tannin extracts, at various inclusion rates, affect the ruminal in vitro fermentation parameters. Tannin extracts were isolated from four different forage species, birdsfoot trefoil (Lotus corniculatus), sulla (Hedysarum coronarium), big trefoil (Lotus pedunculatus), and salad burnet (Sanguisorba minor). Plants extracts were purified by Sephadex LH-20 gel chromatography and analyzed by UPLC-ESI-MS/ MS. The results showed a large variation among the extracts from different species in terms of tannin composition and structural features. The extracts from salad burnet were dominated by hydrolysable tannins (HTs), comprising mainly ellagitannins. The extracts derived from sulla and big trefoil contained predominantly proanthocyanidins (PA), primarily composed of prodelphinidins (PDs) with high mean degree of polymerisation (mDP). Birdsfoot trefoil extracts comprised procyanidin-rich PAs with low mDP. To determine whether the combined presence of tannins and flavonoid together lead to synergistic or antagonistic effects, the tannin extracts were incubated both with or without rutin at concentrations of 10, 20, and 30 g/kg DM, using a base substrate of perennial ryegrass (Lolium perenne, control). In general, all the tannin extracts decreased methane (CH4) production compared to the control, while no significant effect of rutin was observed on both gas (GP) and CH4 production, neither pure, nor in the simultaneous presence of tannins. The highest CH4 reduction (15%, at 30g/kg DM) was observed from sulla and big trefoil extracts compared to control, but this was also supplemented with a concomitant reduction in GP (11%) indicating a reduction in feed digestibility. The extracts from birdsfoot trefoil and salad burnet reduced CH4 up to 12% without significantly reducing GP (4%), indicating the importance of tannin composition on ruminal fermentation.
IGF-1R mediates crosstalk between nasopharyngeal carcinoma cells and osteoclasts and promotes tumor bone metastasis
Authors: Yang Kaifan , Hu Yanjun , Feng Yuanyuan , Li Kaiqun , Zhu Ziyan , Liu Shuyi , Lin Yanling , Yu Bin 
Published: January 2024

Abstract
Background: Nasopharyngeal carcinoma (NPC) poses a significant health burden in specific Asian regions, with radiotherapy substantially improving early-stage survival. However, bone metastasis remains a formidable challenge. This study aims to unravel the complex role of insulin-like growth factor 1 receptor (IGF-1R) in NPC bone metastasis, offering insights into potential therapeutic targets.
Methods: We assessed IGF-1R expression in NPC cells and explored its correlation with bone metastasis. Experiments investigated the impact of osteoclast-secreted IGF-1 on the IGF-1R/AKT/S6 pathway in promoting NPC cell proliferation within the bone marrow. Additionally, the reciprocal influence of tumor-secreted Granulocyte-macrophage colony-stimulating factor (GM-CSF) on osteoclast differentiation and bone resorption was examined. The effects of IGF-1 neutralizing antibody, IGF-1R specific inhibitor (NVP-AEW541) and mTORC inhibitor (rapamycin) on nasopharyngeal carcinoma bone metastasis were also explored in animal experiments.
Results: Elevated IGF-1R expression in NPC cells correlated with an increased tendency for bone metastasis. IGF-1, secreted by osteoclasts, activated the IGF-1R/AKT/S6 pathway, promoting NPC cell proliferation in the bone marrow. Tumor-secreted GM-CSF further stimulated osteoclast differentiation, exacerbating bone resorption. The IGF-1 neutralizing antibody, NVP-AEW541 and rapamycin were respectively effective in slowing down the rate of bone metastasis and reducing bone destruction.
Conclusion: The intricate interplay among IGF-1R, IGF-1, and GM-CSF highlights potential therapeutic targets for precise control of NPC bone metastasis, providing valuable insights for developing targeted interventions.
Multi-label Text Classification on TextCNN fused BiLSTM with Attention Mechanism
Authors: Duan Aihua , RAGA RODOLFO C. 
Published: January 2024

Abstract
In order to effectively manage and utilize the network text information and realize the automatic labeling of text content, this paper proposes to use a variety of deep learning models to study multi-label text classification. In this paper, GloVe is used to obtain the semantic features of text data, and the convolutional neural network and BiLSTM neural network are fused. The latter introduces the Attention mechanism to form a parallel neural network model of TextCNN and BiLSTM_Attention. Experimental results show that TextCNN and BiLSTM_Attention model structures combine the advantages of convolutional neural network model and recurrent neural network, and can better understand local and global semantic information. The Attention mechanism is more reasonable for text feature extraction, so that the model focuses its attention on the features that contribute more to the text classification task, and the classification effect is better.
Application of endoscopic ultrasound in the treatment of mesenchymal tumors of digestive tract by endoscopic submucosal dissection
Authors: Li Linzhen , Yin Hui , Cao Huiru , Wang Jing 
Published: January 2024

Abstract
Background and purpose
In cinical, some mesenchymal tumors of the digestive tract require endoscopic submucosal dissection (ESD). Endoscopic ultrasound (EUS) is required to evaluate tumor nature, size, and origin layer before ESD. The purpose of this study was to investigate the accuracy of EUS in evaluating the nature of tumors, and the relationship between tumor size, origin layer and ESD-related complications.
Patients and Methods:
All the 207 patients should undergo EUS before ESD. EUS should record the nature, location, origin layer and size of the tumor. ESD-related complications should also be recorded.
Results
In the 207 patients, EUS accurately identified the tumor nature of 158 (76.33%) patients. Thirty patients had perforation. Twenty-five (83.33%) patients occurred in stomach, 3 (10%) patients in esophagus, and 2 (6.67%) patients in rectum. The lesions of 28 (93.33%) perforated patients were located in muscularis propria under EUS, 2 (6.67%) patients were located in submucosa. In order to study the relationship between perforation and tumer size, 207 patients were divided into perforation group and non-perforation group. There was a significant difference in tumor size between the two groups (P = 0.047). A total of 11 patients had tumors larger than 20mm, 6 (54.55%) of them had perforation, and most of the perforated patients had tumors located in the muscularis propria.
Conclusions
The accuracy of EUS in evaluating mesenchymal tumors of the digestive tract is high. It is necessary to evaluate the layer and size of tumors by EUS before ESD.