bluuebunny/crossref_metadata_2025_split huggingface dataset:
A head-to-head comparison of the measurement properties of EQ-5D-3L and EQ-5D-5L in family caregivers of cancer patients
Authors: Zhang Huan , Liu Bo , Gu Wen , Cao Yiyin , Xu Juan , Tan Rachel Lee-Yin , Chang Enxue , Zheng Wanji , Li Haofei , Zhou Lan , Jia Yanni , Yang Hongbin , Guo Sheng , Huang Weidong , Luo Nan 
Published: June 2023

Abstract
Background Although both EQ-5D-3L(3L) and EQ-5D-5L(5L) have demonstrated good measurement properties in several patient populations, there is currently limited evidence comparing the measurement properties of 3L and 5L in family caregivers (FCs) of cancer patients.
Purpose This study aimed to compare the measurement properties of 3L and 5L in a sample of family caregivers of cancer patients.
Methods A consecutive sample of FCs of cancer patients recruited from three tertiary hospitals were invited to complete the two versions of the EQ-5D in two rounds of interviews. We compared i) the ceiling effect using the McNemar’s test, ii) test-retest reliability using intraclass correlation coefficient (ICC) and Cohen’s Kappa, iii) convergent validity using Spearman’s rank correlation coefficient, iv) known-group validity using F-statistic, v) and discriminant capacity using ordinal logistic regression.
Results A total of 416 FCs completed the baseline questionnaire and 120 caregivers completed the follow-up questionnaire. Ceiling effects were smaller in 5L (12.5%) than in 3L (20.7%). The convergent validity (r=0.344-0.771), known-groups validity (Fratio5L/3L=2.06-4.09), discriminant capacity (ES=0.341-0.396), and test-retest reliability (Kappa = 0.619-0.722 and ICC= 0.725) of the 5L were slightly better than those of the 3L.
Conclusion The current study found both 3L and 5L to be suitable for use by FCs of cancer patients. However, 5L showed superior measurement properties compared to 3L and therefore could be the preferred instrument when EQ-5D data of cancer patients FCs is required.
Discovery of Ferroelectricity in Natural Product Androstane
Authors: Xiong Ren-Gen , Zhang Han-Yue , Jiang Huan-Huan 
Published: June 2023

Abstract
Progesterone and its derivatives attracted widespread interest because of their applications in medicine, health care and birth control, which is the main active ingredient of contraceptive pills known as one of the five chemistry discoveries that changed human life. Although the research of pharmacological effects on contraceptive pill-related compounds has been around for decades, their ferroelectricity has long been overlooked. Here, we report that 4-androsten-3-one-5-ene-17-carboxylic acid, a derivative of progesterone, is an organic single-component ferroelectric, as confirmed by the polarization − electric field hysteresis loops. It crystallizes in the monoclinic space group P21 with a polar packing structure and undergoes a reversible structural phase transition at a high temperature of 489 K. Thermal analysis revealed that its ferroelectricity can persist up to 533 K, giving a wide working temperature range. As the first ferroelectric in steroid biomaterials, 4-androsten-3-one-5-ene-17-carboxylic acid shows great potential in applications for flexible devices, biomedical devices, bio-machines and so on.
Objective image quality evaluation in a brain dedicated PET scanner
Authors: Teresa Gandia-Ferrero Maria , Irene Torres-Espallardo , Begoña Martínez-Sanchis , Constantino Morera-Ballester , Enrique Muñoz , Pablo Sopena-Novales , Gabriel González-Pavón , Luis Martí-Bonmatí 
Published: June 2023

Abstract
The image quality of a brain-dedicated PET system (CMB) compared to that of a whole-body PET/CT scanner has been evaluated. To that goal, Hoffman phantom and patient data were obtined with both devices. Since CMB does not use a CT for attenuation correction (AC) which is crucial for PET images quality, this study includes the evaluation of CMB PET images using emission-based or CT-based attenuation maps. PET images were compared using 34 image quality metrics. Moreover, a neural network was used to evaluate the degree of agreement between both devices on the patients diagnosis prediction. Overall, results showed that CMB images have higher contrast and recovery coefficient but higher noise than PET/CT images. Although SUVr values presented statistically significant differences in many brain regions, relative differences were low. An asymmetry between left and right hemispheres, however, was identified. Even so, the variations between the two devices were minor. Finally, there is a greater similarity between PET/CT and CMB CT-based AC PET images than between PET/CT and the CMB emission-based AC PET images.
Link prediction grounded upon complex networks based model, based on MJMI-RW
Authors: Bakhat Khush , Kifayat Kashif , Islam M Shujah , Islam M Mattah 
Published: June 2023

Abstract
Link prediction is the process of predicting the connection probability between two nodes based on observable network data, such as network structural topology and node properties. Despite the fact that traditional similarity-based methods are basic and effective, their generalisation performance varies greatly across networks. In this paper, we propose a novel link prediction approach, MJMI-RW, based on the Maxwell Jüttner distribution endowed by the Mutual Information, which recovers the probability of a node's connection by applying node characteristics to a system with less computation. Initially, the method investigates a comprehensive node feature representation by combining diverse structural topology information with node importance properties through feature construction and selection. The selected node features are then fed into a supervised learning task that solves the features matrix using the node features as input. The enhancements of MJMI-RW in terms of the average area under the curve and the precision of state-of-the-art algorithms compared to the finest baseline networks when compared to baseline methods. The limitation of MJMI-RW is its minimal computational complexity feature construction and substitution of complex features with semantic node attributes. Moreover, since inductive matrix completion is a supervised learning task in which the underlying low-rank matrix can be solved by representative nodes instead of all their nodes, it offers a potential link prediction solution for large-scale networks.
Effect of Alccofine on Water Absorption and Sorptivity of Engineered Cementitious Composites Containing Mono and Hybrid Synthetic Fibres
Authors: Ramdass Prashanthi , Kuppusamy Natarajan 
Published: June 2023

Abstract
Water ingression has major influence on durability of concrete materials. This paper deals with a study on influence of Alccofine and synthetic fibers on sorptivity and water absorption in ECC and Hybrid ECC. The sorptivity test measures the rate of movement of water through the concrete under capillary suction as per ASTM C 1585. Water absorption, density and volume of permeable pores in concrete were measured based on ASTM C 642. Based on the literatures, mix design was adopted and fly ash has been replaced by Alccofine and for the workability viscosity modifying agent was used at 0.6% of the binder for all the mixtures. Two types of synthetic fibers, uncoated polyvinyl alcohol (PVA) and polypropylene (PP) were used. The results show that, both ECC and HECC with Alccofine show lower absorption and not much variation in sorptivity than conventional concrete.
Association Between Periprocedural Myocardial Injury And Intra-intimal Microvessels：An Optical Coherence Tomography Study
Authors: Shen Youcheng , Liu Zhijiang , Rong Jidong , Shen Changyin , Zhang Wei , Gu Ning , Chen Panke , Wang Xi , Deng Yi , Deng Chancui , Ma Shuai , Zhao Yongchao , Zhao Ranzhun , Shi Bei 
Published: June 2023

Abstract
Purpose
The relationship between neointimal characteristics of in-stent restenosis (ISR) and periprocedural myocardial injury (PMI) remains unclear. Therefore, this study aimed to investigate the relationship between PMI and ISR neointimal characteristics by using optical coherence tomography (OCT).
Methods
We enrolled 140 patients diagnosed with ISR with normal or stable/falling increased baseline high-sensitivity troponin T levels who underwent OCT and subsequent percutaneous coronary intervention (PCI). Patients were subdivided into with PMI (n = 53) and non-PMI (n = 87) groups based on the 4th universal definition of myocardial infarction.
Results
The prevalence of intra-intimal microvessels in patients with PMI was higher than in those without PMI (58.5% vs. 32.2%, P = 0.003). Multivariable logistic regression analysis showed that intra-intimal microvessels (odds ratio [OR], 3.431; 95% confidence interval [CI], 1.451–8.116, P = 0.005) were independently associated with PMI. Compared with patients without intra-intimal microvessels, those with intra-intimal microvessels had a higher prevalence of intima-calcification (52.5% vs. 32.4%, P = 0.030), lipid rich plaques (LRPs) (68.9% vs. 50.6%, P = 0.030) and peri-strut microvessels (65.6% vs. 16.4%, P < 0.001).
Conclusions
In patients who underwent OCT before PCI for ISR, there was a significant association between intra-intimal microvessels and occurrence of PMI. Multivariable logistic regression analysis also showed intra-intimal microvessels were independently associated with PMI.
Severity-oriented Multi-objective Crowdsourced Test Reports Prioritization
Authors: Wu Yunhuan , Xiao Lei , Liao Jingjing 
Published: June 2023

Abstract
Crowdsourced testing has been widely used to improve software quality since it can quickly obtain a vast number of test reports revealing various bugs. One of the most critical tasks in crowdsourced testing is determining how to inspect these valuable reports efficiently and quickly. In recent years, many automated techniques, like clustering and prioritizing, have arisen to assist in examining crowdsourced test reports. Due to the high repetition rate, most existing crowdsourced test report prioritization techniques concentrate on finding different bugs earlier while ignoring bug severity. The bug's severity reflects how detrimental the bug is to the quality of the software. In practice, developers should fix highly severe bugs as early as possible. In this paper, we propose a multi-objective prioritization technique for crowdsourced test reports that considers the diversity and severity of bugs. First, test reports are sorted in order of severity, and then the clustering results of test reports are used to adjust the first sorting sequence to ensure diversity. To acquire the clustering results, we first obtain the text feature vector and image feature vector of the test report separately, then fuse these two feature vectors. Finally, we use the density clustering algorithm to cluster the fused feature vectors. We conducted experiments on an industrial crowdsourced test report dataset from six mobile application projects to validate our method. The results show that our method can detect serious bugs earlier and different bugs faster than existing methods.
Methods for Controlling Heavy Metals in Environmental Soils Based on Artificial Neural Networks
Authors: Luo Ninglin 
Published: June 2023

Abstract
The problem of heavy metal pollution in soil has become a global environmental problem, and it is very important to predict and manage the heavy metals in the environmental soil in a timely manner. The changes in heavy metal content in soil have characteristics such as nonlinearity and large delay, making it difficult to predict heavy metals in soil using traditional methods. Traditional prediction methods are complex and cumbersome, which can lead to longer treatment time and easy secondary pollution. This article analyzed the Back Propagation neural network (BPNN) in artificial neural networks (ANN) and applied it to the prediction of heavy metals in environmental soils. BPNN has good nonlinear function approximation ability, so it can be well applied to complex problems such as soil heavy metal prediction. The use of BPNN can predict heavy metals in environmental soils through adaptive dynamic learning. However, the training time of the BPNN is relatively long and the convergence speed is relatively slow. Therefore, additional momentum terms were added to adjust the weights and thresholds of the network to improve the BPNN. In the experiment, the prediction performance of the improved BPNN was compared before and after the improvement. This article took 50 monitoring data of heavy metals in the same soil in a certain region in 2021 as sample data and predicted the content of heavy metals in the soil using improved and improved BPNN. Due to time constraints, this article only conducted experimental analysis on heavy metals such as lead and cadmium. The results showed that in the first experiment, when the soil sample data was 50, the prediction accuracy of the BPNN for cadmium before and after improvement was 75.95% and 89.56%, respectively. In the second experiment, when the soil sample data was 50, the prediction accuracy of the BPNN for cadmium before and after improvement was 77.99% and 89.85%, respectively. The improved BPNN has good prediction accuracy and can effectively predict the status of heavy metals in soil. The analysis in this article can provide scientific basis for the comprehensive prevention and control of heavy metals in regional soil, and also provide reference for the development of pollution-free agriculture and ensuring food safety.
Special Structures on General Rotational Surfaces in Pseudo-Euclidean 4-Space With Neutral Metric
Authors: Bejan Cornelia-Livia , Milousheva Velichka 
Published: June 2023

Abstract
On general rotational surfaces in the pseudo-Euclidean 4-dimensional space of neutral signature, we describe the behavior of geometric objects, such as Killing vectorfields (and in particular homothetic vector fields), divergence-free vector fields, co-closed and harmonic one-forms, and also harmonic functions. We classify geodesic and parallel vector fields, geodesic curves, concircular vector fields and concircular functions, and also concurrent vector fields and functions whose gradient is concurrent. Our results are new, as they have not been obtained in the Euclidean and Minkowski framework. The tools here are taken from both differential geometry and partial and ordinary differential equations. This topic could be of interest to many fields of mathematics, physics, engineering, architecture.
Identification of cytokine-predominant immunosuppressive class and prognostic risk signatures in glioma
Authors: Tian Ziyue , Yang Zhongyi , Jin Meng , Ding Ran , Wang Yuhan , Chai Yuying , Wu Jinpu , Yang Miao , Zhao Weimin 
Published: June 2023

Abstract
Purpose: The advent of immune checkpoint blockade (ICB) therapies this year has changed the way glioblastoma (GBM) is treated. Meanwhile, some patients with strong PD-L1 expression remain immune checkpoint resistant. To better understand the molecular processes that influence the immune environment, there is an urgent need to characterize the immunosuppressive tumor microenvironment and identify biomarkers to predict patient survival outcomes.
Patients and methods: Our study analyzed RNA-sequencing data from 178 GBM samples. Their unique gene expression patterns in the tumor microenvironment were analyzed by an unsupervised clustering algorithm. Through these expression patterns, a panel of T-cell exhaustion signatures, immunosuppressive cells, and clinical features correlates with immunotherapy response. The presence or absence of immune status and prognostic signatures was then validated with the test dataset.
Results: 38.2% of GBM patients showed increased expression of anti-inflammatory cytokines, significant enrichment of T cell exhaustion signals, higher proportion of immunosuppressive cells (macrophages and CD4 regulatory T cells) and nine inhibitory checkpoints (CTLA4, PDCD1, LAG3, BTLA, TIGIT, HAVCR2, IDO1, SIGLEC7, and VISTA). The immunodepleted class (IDC) was used to classify these immunocompromised individuals. Despite the high density of tumor-infiltrating lymphocytes shown by IDC, such patients have a poor prognosis. Although PD-L1 was highly expressed in IDC, it suggested that there might be ICB resistance. There are many IDC predictive signatures to discover.
Conclusion: PD-1 is strongly expressed in a novel immunosuppressive class of GBM, but this cluster may be resistant to ICB therapy. A comprehensive description of this drug-resistant tumor microenvironment could provide new insights into drug resistance mechanisms and improved immunotherapy techniques.
An anoikis-based gene signature for predicting prognosis in malignant pleural mesothelioma and revealing immune infiltration
Authors: Shi Jiaxin , Peng Bo , Zhou Xiang , Wang Chenghao , Xu Ran , Lu Tong , Chang Xiaoyan , Shen Zhiping , Wang Kaiyu , Xu Chengyu , Zhang Linyou 
Published: June 2023

Abstract
Introduction: Malignant pleural mesothelioma (MPM) is an aggressive, treatment-resistant tumor. Anoikis is a particular type of programmed apoptosis brought on by the separation of cell-cell or extracellular matrix (ECM). Anoikis has been recognized as a crucial element in the development of tumors. However, few studies have comprehensively examined the role of anoikis-related genes (ARGs) in malignant mesothelioma.
Methods: ARGs were gathered from the GeneCard database and the Harmonizome portals. We obtained differentially expressed genes (DEGs) using the GEO database. Univariate Cox regression analysis, and the least absolute shrinkage and selection operator (LASSO) algorithm were utilized to select ARGs associated with the prognosis of MPM. We then developed a risk model, and time-dependent receiver operating characteristic (ROC) analysis and calibration curves were employed to confirm the ability of the model. The patients were divided into various subgroups using consensus clustering analysis. Based on the median risk score, patients were divided into low- and high-risk groups. Functional analysis and immune cell infiltration analysis were conducted to estimate molecular mechanisms and the immune infiltration landscape of patients. Lastly, drug sensitivity analysis and tumor microenvironment landscape were further explored.
Results: A novel risk model was constructed based on the six ARGs. The patients were successfully divided into two subgroups by consensus clustering analysis, with a striking difference in the prognosis and landscape of immune infiltration. The Kaplan-Meier survival analysis indicated that the OS rate of the low-risk group was significantly higher than the high-risk group. Functional analysis, immune cell infiltration analysis, and drug sensitivity analysis showed that high- and low-risk groups had different immune statuses and drug sensitivity.
Conclusions: In summary, we developed a novel risk model to predict MPM prognosis based on six selected ARGs, which could broaden comprehension of personalized and precise therapy approaches for MPM.
Analogue of Ramanujan's function k(τ) for the continued fraction of order six
Authors: Guadalupe Russelle , Aricheta Victor Manuel 
Published: June 2023

Abstract
We study the modularity of the function w(τ ) = X(τ )X(3τ ), where X(τ ) is the continued fraction of order six introduced by Vasuki, Bhaskar and Sharath (2010). The function w(τ ) is an analogue of Ramanujan’s function k(τ ) = r(τ )r(2τ ) 2 , where r(τ ) is the RogersRamanujan continued fraction. We prove that w(τ ) is an η-quotient that generates the field of all modular functions on the congruence subgroup Γ0(18), and express X(τ ) and X(3τ ) in terms of w(τ ). We also show that there is a modular equation for w(τ ) of any level, and provide explicitly the modular equations of level p for primes p ≤ 13. We finally show that w( τ 3 ) generates the ray class field K(3) over an imaginary quadratic field K modulo 3 for some suitable τ ∈ K.
Media formulation for cellulase mediated biotransformation of cellulose from wood sawdust waste: Screening, Extracellular production and Optimization of cellulase from a newly isolated Fungal strain C-2 for prospective industrial use
Authors: Bibi Zainab , Khan Sehar , Aslam Huroom 
Published: June 2023

Abstract
Microorganisms populate the most extreme environments due to their incredible capacities of adaptation and biotransformation, based on a genetic potential and biosynthetic pathways of a great diversity. Industrial or agricultural residues are generated in large quantity all over the world and contribute to the global pollution of our biosphere. The current study implies the recycling and the valorization of agro-industrial carbon wastes to produce industrially valuable extracellular cellulase from a newly isolated fungal strain C-2. Cellulase has numerous applications in various food based bioprocesses such as fruit juices clarification and synthesis of single cell protein, glucose syrup, bioethanol and confectioneries. In the present study, fungal strain C-2 extracellularly released high quantity of cellulase at 30°C and pH-03 after 120 min. Among various agro-industrial wastes, 0.2% wood sawdust proved best inducer for cellulase production. It was noticed that the production of cellulase increased when 0.1% yeast extract and ammonium sulfate were used as nitrogen sources. The productivity of cellulase significantly improved after the addition of 0.1% dihydrogen potassium phosphate, 0.2% sodium chloride, 0.002% iron sulfate and 0.02% magnesium sulfate in fermentation medium. It is evident from this study that the newly synthesized cellulase from fungal strain C-2 can be exploited to meet the increasing demand of various industries.
Aggressive surgical intervention may improve prognosis in patients with ovarian metastasis from colorectal cancer
Authors: Nomura Masatoshi , Tei Mitsuyoshi , Nishida Kentaro , Mori Soichiro , Yasuyama Akinobu , Yoshikawa Yukihiro , Tamai Koki , Hamakawa Takuya , Takiuchi Daisuke , Tsujie Masanori , Akamaru Yusuke 
Published: June 2023

Abstract
Purpose: The current study aimed to investigate the prognostic clinicopathological factors of synchronous and metachronous ovarian metastasis (OM) from colorectal cancer (CRC) in patients with and without oophorectomy.
Methods: Female patients with OM from CRC who underwent primary tumor resection at our institution from January 2013 to December 2020 were evaluated.
Results: Of 661 female patients, 22 (3.3%) were diagnosed with OM. Among 22 patients with OM, 12 underwent OM resection. Twenty (91%) patients had extra OM upon diagnosis. Thirteen (59%) patients in the non-surgery group had peritoneal dissemination at surgery or on computed tomography scan or positron emission tomography-computed tomography. Two patients in the OM surgery group had emergency surgery because of abdominal pain. Four patients had postoperative complications, and the median duration of hospital admission was 16.5 days. The median survival time from OM diagnosis to mortality was 20.9 months. Then, the association between the clinicopathological factors and overall survival (OS) was investigated. Tumor location and surgery were found to be related to OS (p = 0.03, 0.006, respectively) in the univariate analysis. However, only surgery was associated with OS (p = 0.02) in the multivariate analysis.
Conclusion: Surgery is an important prognostic clinicopathological factor of OM from CRC. OM tumors should be resected because OM surgery is less likely to cause complications and symptoms.