bluuebunny/crossref_metadata_2025_split huggingface dataset:
Sex-specific differences in myocardial glucose metabolic rate in non-diabetic, pre-diabetic and type 2 diabetic subjects
Authors: Succurro Elena , Vizza Patrizia , Cicone Francesco , Cassano Velia , Massimino Mattia , Giofrè Federica , Fiorentino Teresa Vanessa , Perticone Maria , Sciacqua Angela , Guzzi Pietro Hiram , Veltri Pierangelo , Andreozzi Francesco , Cascini Giuseppe Lucio , Sesti Giorgio 
Published: November 2023

Abstract

Background
Evidence has shown that women with type 2 diabetes (T2DM) have a higher excess risk for cardiovascular disease (CVD) than men with T2DM. Subjects with either T2DM or prediabetes exhibit myocardial insulin resistance, but it is still unsettled whether sex-related differences in myocardial insulin resistance occur in diabetic and prediabetic subjects.
Methods
we aimed to evaluate sex-related differences in myocardial glucose metabolic rate (MRGlu), assessed using dynamic PET with 18F-FDG combined with euglycemic-hyperinsulinemic clamp, in subjects with normal glucose tolerance (NGT; n = 20), prediabetes (n = 11), and T2DM (n = 26).
Results
Women with prediabetes or T2DM exhibited greater relative differences in myocardial MRGlu than men with prediabetes or T2DM when compared with their NGT counterparts. As compared with women with NGT, those with prediabetes exhibited an age-adjusted 35% decrease in myocardial MRGlu (P = 0.04) and women with T2DM a 74% decrease (P = 0.006), respectively. Conversely, as compared with men with NGT, men with T2DM exhibited a 40% reduction in myocardial MRGlu (P = 0.004), while no significant difference was observed between men with NGT and prediabetes. The statistical test for interaction between sex and glucose tolerance on myocardial MRGlu (P < 0.0001) was significant suggesting a sex-specific association.
Conclusions
Our data suggest that deterioration of glucose homeostasis in women is associated with a greater impairment in myocardial glucose metabolism as compared with men. The sex-specific myocardial insulin resistance could be an important factor responsible for the greater effect of T2DM on the excess risk of cardiovascular disease in women than in men.
Prognostic value and drug sensitivity of FBXL6 in glioma
Authors: Lin Qingyuan , Zhu Jinchao , Zhu Weiyao , Zhu Honglin , Li Meijun , Zhao Jiaqi , Jia Shouqiang , Nie Shengdong 
Published: November 2023

Abstract
Purpose
Gliomas are highly malignant and invasive tumors that lack clear boundaries. Recent bioinformatics and experimental analyses have indicated that FBXL6, a protein crucial for the cell cycle and tumorigenesis, is highly expressed in certain tumors. This high expression of FBXL6 is thought to promote tumor growth and adversely affect patient survival. However, the molecular mechanism, prognostic value, and drug sensitivity of FBXL6 in gliomas still remain unclear.
Methods
To address these gaps, we conducted an extensive study on FBXL6 in gliomas, utilizing data from the TCGA and CGGA databases. Our analysis of FBXL6 mRNA expression, combined with factors such as age, sex, and tumor grade using the Kaplan-Meier plot and nomograms, revealed a strong correlation between FBXL6 expression and glioma progression. Co-expression networks provided further insights into FBXL6's biological functions. Additionally, using CIBERSORT and TISDB tools, we investigated FBXL6's correlation with tumor-infiltrating immune cells and immune genes, revealing significant interactions.
Results
We validated our findings by examining FBXL6 mRNA and protein levels in glioma tissues using various techniques, including Western blotting, RT-PCR, and immunohistochemistry. This confirmed the significant role of FBXL6 in glioma progression. Furthermore, drug sensitivity analysis demonstrated a strong correlation between FBXL6 expression and various drugs, indicating that FBXL6 is a promising therapeutic target in glioma treatment.
Conclusion
Our comprehensive study identified FBXL6 as a diagnostic and prognostic marker in patients with gliomas and highlights its critical role in glioma progression.
Efficient Numerical Algorithms for Multi-Precision and Multi-Accuracy Calculation of the Error Functions and Dawson Integral with Complex Arguments
Authors: ZAGHLOUL MOFREH R. 
Published: November 2023

Abstract
We present efficient algorithms for multi-precision and multi-accuracy calculation of error functions and the Dawson integral, all with complex arguments. These algorithms achieve exceptional accuracies, ranging from 26 significant digits (SD) up to 30 SD depending on the function. In addition to the Faddeyeva or Faddeeva function, w(z) or the scaled complementary error function, erfcx(z) = w(iz), the list of functions considered include the error function, erf(z), complementary error function, erfc(z), imaginary error function, erfi(z), and the Dawson integral Daw(z).
These algorithms are integrated into a modern Fortran module confirming the claimed accuracies and superior efficiency compared to other competitive codes in the literature. Additionally, we highlight an observation regarding the built-in “Erfc_Scaled(x)” function included in a widely used Fortran compiler, which exhibits a significant decline in accuracy when employed in quadruple precision arithmetic.
A case report of canine gigantic nasopharyngeal angiofibroma
Authors: Yu Chao , Wang Mingfeng , Liu Xiao 
Published: November 2023

Abstract
A six-year-old male Bichon Frise presents with a large head mass, intermittent nasal bleeding, and copious mucus discharge. Imaging examination shows that the mass fills the nasopharynx and frontal sinuses and invades the skull. Through histopathological biopsy, it is diagnosed as nasopharyngeal angiofibroma (NA) . Reports of dogs with this disease are quite rare. During the diagnosis process of nasopharyngeal masses in dogs, this disease should be entirely considered and differentiated.
Utilizing the AJCC staging 8th edition to discriminate survival outcomes in HPV-associated oropharyngeal squamous cell carcinoma: A population-based study using the SEER database
Authors: Kim Su Il , Lee Jung Woo , Eun Young-Gyu , Lee Young Chan 
Published: November 2023

Abstract
Background
The American Joint Committee on Cancer (AJCC) staging 8th edition introduced major changes in the TNM staging of oropharyngeal squamous cell carcinoma (OPSCC) based on the human papillomavirus (HPV) status. We aimed to observe how well the AJCC staging 8th edition precisely discriminate survival outcomes in patients with HPV (+) OPSCC than AJCC staging 7th edition using a large population database. Additionally, we observed survival outcomes when patients were further classified according to other clinical factors.
Methods
A total of 7448 patients with HPV (+) OPSCC were enrolled using the Surveillance, Epidemiology, and End Results database between 2010 and 2016. Patients diagnosed with OPSCC and tested positive for HPV with information on the TNM staging according to the AJCC staging 7th edition were selected. Next, T-, N-, and clinical staging were reconstructed based on the AJCC staging 8th edition. Survival probabilities in each edition were estimated and compared using Kaplan–Meier plots.
Results
Of the 7448 patients, 6960 patients (93.44%) were down-staged from the 7th to the 8th edition in patients with HPV (+) OPSCC. The AJCC staging 8th edition showed more discriminatory power in predicting survival of patients with HPV (+) OPSCC than the AJCC staging 7th edition, regardless of the primary subsites. Early clinical stage patients with HPV (+) OPSCC showed no significant differences according to the therapeutic methods, unlike those according to the AJCC 7th edition. However, clinical stage I patients with HPV (+) OPSCC according to the AJCC 8th edition showed better prognosis in case of high T staging than high N staging. Clinical staging according to the AJCC 8th edition compared to that of the 7th edition was an independent prognostic factor in patients with HPV (+) OPSCC.
Conclusion
This large population-based study emphasizes the advantages of the new classification system for discriminating survival in patients with HPV (+) OPSCC according to various factors.
A Cloud Container-Based Distributed Solving Approach to Superscale Colored Traveling Salesman Problems
Authors: Lin Zhicheng , Li Jun , Li Yongcui 
Published: November 2023

Abstract
The colored traveling salesman problem (CTSP) generalizes the well-known multiple traveling salesman problem (MTSP) by utilizing colors to describe the accessibility of cities to individual salesmen. Many serial algorithms have been developed to solve CTSP instances. This work presents a distributed solving method for CTSP for the first time. First, a cloud container-based distributed solving framework for CTSP is designed and implemented in a pipeline style. A superscale CTSP can be decomposed into many TSPs to solve in parallel to reduce computational complexity dramatically. Second, following the framework, we develop a distributed Delaunay-triangulation-based variable neighborhood search (DDVNS) algorithm. In DDVNS, a two-stage initialization is exploited to generate each TSP solution. Then, Delaunay-triangulation-based variable neighborhood search (DVNS) is applied to search for the local TSP optima within a neighborhood delicately. In addition, the solutions are improved further by reallocating the multicolor cities and repeating the search progress. Finally, the extensive experiments show that DDVNS outperforms the state-of-the-art serial algorithms regarding search efficiency and solution quality. Notably, We can achieve a satisfactory solution in a superscale case of 16 salesmen and 160000 cities within 15 minutes, which breaks the existing solving record of CTSPs.
Trends and Determinants of Catastrophic Health Expenditure among Low-income Group (B40) in Malaysia (2014-2019)
Authors: Manual Adilius , Hamid Jabrullah Ab , Nordin Awatef Amer , Jawahir Suhana , Noh Sarah Nurain Mohd , Rahim Iqbal Ab , Mutalib Nur Elina Abdul , Aravind Dinash , Sararaks Sondi 
Published: November 2023

Abstract
Background
Malaysia has performed strongly in protecting its population against severe financial risk from out-of-pocket (OOP) or catastrophic health expenditure (CHE). As the country leaps forward towards the status of a developed status nation, income inequality may exacerbate incidence of financial hardship among the B40 or the poorest 40% of the population. Our objectives are therefore to analyze the incidence of CHE in the past 5 years addressing potential determinants among the B40 population using normative spending method.
Methods
We analyzed data from the last three rounds of the Household Income and Expenditure Surveys conducted in 2014, 2016 and 2019. To identify CHE, the approach we adopted was normative spending on food, housing, and utilities (capacity-to-pay or CTP method), at the 40% threshold and compared this with the budget share method. Descriptive and logistics regression analyses were carried out using Stata.
Results
The two approaches produced diverging estimates with the household CTP approach showing significant increasing trend of CHE between 2014 and 2019, while the budget share method showed a much lower increase (1.78% versus 5.48%). Pharmaceuticals/medicines represented the highest mean monthly spending. Almost all factors in the final model are significant including spatial (state and rural status) and socio-demographic factors. For the socio-demographic profiles of head of household, higher likelihoods of CHE were observed among the non-Chinese, 35–54 and 55–64 age categories, lowest education level and among female and with divorced/widowed head of households. Larger households and older adults-only households have the largest odds ratio of CHE.
Conclusions
Although Malaysia has achieved improved financial protection for its population, greater attention to the poorest households is still needed. Higher estimations of CHE were found using the CTP approach. Therefore, it is important to consider the significant determinants of both spatial and sociodemographic characteristics found in this study when strengthening financial risk protection against CHE among Malaysia's B40.
Fabrication and Characterization of Biopolymer based Silver Loaded Padded Cotton Bandage
Authors: Tauseef Muhammad , Azam Farooq , Ahmad Sheraz , Rasheed Abher , Ahmad Faheem , Masood Rashid 
Published: November 2023

Abstract
The regular utilization of medical bandages has the potential to expedite the healing process. In this research study, we explored the creation of an innovative medical textile in the form of a padded cotton bandage, engineered from a combination of agricultural biopolymers, with a focus on sustainability and eco-friendliness. To produce a cotton-based bandage, cotton fabric was treated with Arabic gum and xanthan gum loaded with Ag NPs. The resulting samples underwent assessment for air permeability, antibacterial attributes, tensile strength, and wicking properties across various biopolymer blend compositions. Furthermore, their characteristics were analyzed using Tensile strength Tester, SEM, and FTIR. Our study identified that a blend of 0.5% xanthan gum and 1% gum Arabic demonstrated the highest air permeability. Additionally, the analysis of tensile strength revealed that the sample with the highest GSM exhibited superior strength. SEM and FTIR analyses have verified the presence of the Ag-loaded biopolymer layer on cotton fabric. The 50 GSM sample exhibits superior wicking properties compared to the 100 GSM samples. This research presents a promising avenue for developing biopolymer-based padded cotton bandages with enhanced air permeability, antibacterial efficacy, tensile strength, and moisture-wicking properties, crucial for effective and comfortable medical textiles.
FESAR：Detection Model Based on Local Spatial Relationship Capture and Fused Convolution Enhancement
Authors: Liu chong , Yan Chunman 
Published: November 2023

Abstract
Synthetic Aperture Radar (SAR) plays a crucial role in ship monitoring due to its all-weather and high-resolution capabilities. In SAR images, ship targets often exhibit blurred or mixed boundaries with the background, and there may be occlusion or partial occlusion. Furthermore, the multi-scale transformation and the presence of small targets pose challenges to ship detection. To address these challenges, a novel SAR ship detection model, FESar, is proposed. First, to address the problem of large-scale transformations in ship detection, a network FCEM with fused convolutional enhancement is proposed, in which different convolutional branches are designed to capture local and global features, respectively, and are fused and enhanced. Secondly, an FPE module containing a spatial-mixing layer is designed to capture and analyze local spatial relationships in the image, and effectively combine local information to discriminate the feature information between ship targets and the background. Finally, a new backbone network, SPD-YOLO, is designed to perform deep downsampling for the comprehensive extraction of semantic information related to ships. To validate the performance of the model, experiments are conducted on the publicly available dataset LS-SSSDD-v1.0, and the experimental results show that the performance of the proposed FESar model outperforms many SOTA models, and based on the base model, FESar improves the AP by 5.5% on the dataset LS-SSDD-v1.0. Compared with the SAR ship detection model on the SSDD dataset, the comprehensive performance of FESAR is better than other SAR ship detection models. To verify the generalization of the model, we experiment with FESAR with numerous SOTA models on the dataset HRSID, and the experimental results show that, based on the base model, the FESAR model improves AP by 2.6% on the dataset HRSID.
Topographic and Biomechanical Characteristics of Cornea in Patients with Angioid Streaks
Authors: Gurelik Gokhan , Uysal Betul Seher , Yilmaz Merve Nur , Ozdemir Huseyin Baran , Bilgihan Kamil 
Published: November 2023

Abstract
Purpose
To evaluate corneal biomechanics obtained with Corvis ST and topographic characteristics of the cornea measured with Pentacam topography in individuals with angioid streaks and to compare them with healthy subjects.
Methods
Thirty-six eyes of 18 patients with angioid streaks (study group) and 46 eyes of 23 healthy subjects (control group) were included in the study. Corneal topography with Pentacam was performed and the parameters obtained were as follows; flattest keratometry, steepest keratometry, mean keratometry, maximum keratometry, topographic cylinder value, central corneal thickness, and total deviation value of Belin-Ambrósio enhanced ectasia display. The biomechanical parameters, IOP with non-contact tonometer (IOPnct), and biomechanical corrected IOP (bIOP) were measured with Corvis ST.
Results
All topographic parameters were comparable between the study and control groups (all P > 0.05). Corneal ectasia was not observed in any patient. In patients with angioid streaks, statistically significant longer applanation 1 (A1) time, lower A2 velocity, lower deformation amplitude (DA) and DA ratio (2 mm), higher stiffness parameter A1, and lower Corvis biomechanical index (CBI) values indicated higher corneal stiffness compared to the control group (all P < 0.05). IOPcnt value was significantly increased in the study group, while the bIOP value was similar in both groups (P = 0.041, and P = 0.075, respectively).
Conclusions
Normal corneal topographic properties and increased corneal stiffness have been demonstrated in eyes with angioid streaks. These findings may be crucial in patients with angioid streaks when planning corneal refractive surgery or when precise IOP measurement is needed for the diagnosis or follow-up of glaucoma.
WITHDRAWN: Crop management and distribution by linear programming method using the Excel software for planning the agricultural production
Authors: Fytilis Konstantinos , Karaouzas Ioannis 
Published: November 2023

Abstract
The need for appropriate crop management/distribution to increase the economic yield of crops is a major challenge for farmers. Linear programming is a mathematical model that solves such problems with great success for the purpose of crop maximization or minimization. In this study the method of linear programming is used in Sperchios river basin to increase crop efficiency and consequently to increase the economic returns of the crops by maximizing crop mass. Several constraints are taken into account, which determines the final result (e.g. fertilization requirements, irrigation, labor, land use). The main objective is to evaluate the distribution of crops in the study area and the use of the historical constraint, a constraint that is being introduced for the first time. Then a comparison is made of the results obtained from the use and non-use of the historical constraint (in combination with the other constraints). The method used is that of linear programming. In particular, by using the software excel uses the solver tool that solves linear problems. Currently, in the Sperchios river basin 26 crops are being cultivated. If the historical constraint is included, the number of crops remain 26. Otherwise, the optimal solution suggests the exploitation of 6 crops. Also, depending on the constraints , the needs for irrigation, fertilization, labor and land use differ. The excel software suggested the optimal solution to obtain the maximum crop yield considering certain constraints. Thus, we conclude that linear programming can be used as a decision support making – a decision support system (DSS) in crop management.
Advancements in Biotransformation Pathway Prediction: Enhancements, Datasets, and Novel Functionalities in enviPath
Authors: Hafner Jasmin , Lorsbach Tim , Schmidt Sebastian , Brydon Liam , Dost Katharina , Zhang Kunyang , Fenner Kathrin , Wicker Jörg Simon 
Published: November 2023

Abstract

enviPath is a widely used database and prediction system for microbial biotransformation pathways of primarily xenobiotic compounds. Data and prediction system are freely available both via a web interface and a public REST API. Since its initial release in 2016, we extended the data available in enviPath and improved the performance of the prediction system and usability of the overall system. We now provide three diverse data sets, covering microbial biotransformation in different environments and under different experimental conditions. This also enabled developing a pathway prediction model that is applicable to a more diverse set of chemicals. In the prediction engine, we implemented a new evaluation tailored towards pathway prediction, which returns a more honest and holistic view on the performance. We also implemented a novel applicability domain algorithm, which allows the user to estimate how well the model will perform on their data. Finally, we improved the implementation to speed up the overall system and provide new functionality via a plugin system. Overall, enviPath has developed into a reliable database and prediction system with a unique use case in research in microbial biotransformations.
Evolution of Poroelastic Characteristics and Permeability in Artificial Sandstones Undergoing Inelastic Deformation
Authors: Hajzaman Mostafa , Moosavi Mahdi 
Published: November 2023

Abstract
This study investigates saturated artificial sandstones' Poroelastic and permeability properties. Artificial sandstones were preferred because they were capable of manipulating porosity, particle size, and cement content. Various methods were developed to investigate drained jacketed Poroelastic parameter evolution in both elastic and inelastic domains, including Biot's coefficient, permeability, bulk, pore, and solid constituent moduli. Poroelastic characteristics are stress-dependent and nonlinear, up to 10 MPa effective stress. After the first stage, linear volumetric compaction and elastic moduli degradation continue until pore collapse. Porosity-stress graphs of some samples show inflection points that match the Hertzian fracture theory's prediction for grain crushing and pore collapse. The nonlinearity of Poroelastic moduli and permeability progression upon pore collapse has been demonstrated. Following the pore collapse, the primary factor influencing the bulk compressibility is the solid matrix deformation. Comparing Biot's coefficient values from two paths proves that solid components' jacketed bulk modulus is identical to the sample's unjacketed bulk modulus. Rock permeability is periodically measured based on effective stress, showing a greater drop at low effective stresses due to microcrack closure. Permeability sensitivity to effective stress (ɣ) and porosity (α) exponents were measured. The results show that effective stress affects permeability primarily through pore compressibility. The study found a numerical value of 0.67<γ×10-2<4.45 and 1.83<α<4.84 before pore collapse, and 3<γ×10-2<24 and 4.61<α<17.63 following pore collapse. Results show that GAMA is more stress-dependent than α post-pore collapse. This observation suggests that the permeability in high-stress conditions is predominantly influenced by cumulative damage rather than the compressibility of pores.