bluuebunny/crossref_metadata_2025_split huggingface dataset:
Multi-objective Optimization of a Cast-preform Shape for a Magnesium Alloy Forging Application
Authors: Kodippili Tharindu , Azqadan Erfan , Jahed Hamid , Lambert Stephan , Arami Arash 
Published: July 2023

Abstract
Careful consideration of the preform shape is essential when designing a forging process. A high-quality forging process must promote process-related grain refinement, and an unbroken grain flow devoid of cavities or folding besides minimizing the amount of generated flash while achieving a complete die fill. The desired forged part properties can be obtained by optimizing the preform shape. However, three-dimensional shape optimization presents challenges in design generation and design evaluation due to the resource-intensive demands of each task. To address these challenges, we propose a multi-objective optimization framework consisting of a parametric computer-aided design (CAD) model for shape generation, data-driven models for shape evaluation, and a multi-objective evolutionary optimization algorithm to search the design space effectively. This computational framework is used to evolve an optimal preform shape which was ultimately cast using permanent mould casting (PMC) and then hot forged under elevated temperature conditions. We compared the forging outcome of the optimal preform with a baseline cylindrical billet which was produced according to the same sequence of manufacturing steps. Comparative analysis of the laboratory-scale forging results revealed that the cast-preform and cast-billet produced about 6% and 12% flash material, respectively. Quasi-static tensile and stress-controlled cyclic tests were also conducted to evaluate mechanical properties. While comparable yield and ultimate tensile strengths were observed in both forgings, a significant increase in fracture strain was observed in the preform forging, suggesting improved toughness. In general, the forging outcome of the optimized preform proved to be superior to the billet forging.
A Nationwide Analysis of the Impact of Vasculopathies on COVID-19 Hospitalization Outcomes
Authors: Na Sean A. , Sangari Ayush , Pellegrini James R. , Guo William , Guiveses Zyrille , Lozeau Daniel 
Published: July 2023

Abstract
Background and Aims: The study investigated the short-term outcomes of COVID-19 in conjunction with vasculopathies, including vasculitides, for inpatient hospitalization encounters.
Methods: The 2020 National Inpatient Sample was used to identify hospitalizations presenting with a primary admitting diagnosis of COVID-19 with and without a secondary diagnosis of vasculopathy, including vasculitides. The primary outcomes of interest were mortality and mechanical ventilation use in COVID-19 hospitalizations with and without vasculopathies. Secondary outcomes were in-hospital length of stay and hospital charges.
Results: A total of 1,050,040 weighted hospitalizations were included in this study with a principal diagnosis of COVID-19. Among this population, 1,440 weighted hospitalizations had a concurrent diagnosis of vasculopathy, and 1,048,600 weighted hospitalizations had COVID-19 without a concurrent diagnosis of vasculopathy. Positive associations regarding mortality were found in Kawasaki disease (aOR 7.9115, 95% CI [1.4612 - 42.8362]; p = 0.0164), microscopic polyangiitis (aOR 3.5589, 95% CI [1.1356 - 11.1529]; p = 0.0295), thrombotic microangiopathy (aOR 3.9213, 95% CI [2.1959 - 7.0027]; p = 4.00E-06), other specified necrotizing vasculitis (aOR 20.9423, 95% CI [4.5566 - 96.2510]; p = 9.44E-05), unspecified necrotizing vasculopathy (aOR 16.6108 , 95% CI [2.0106 - 137.2299]; p = 0.0091), and cryoglobulinemia (aOR 8.5863 , 95% CI [2.2848 - 32.2669]; p = 0.0015). Positive associations regarding mechanical ventilation were found in microscopic polyangiitis (aOR 7.4010, 95% CI [2.9088 - 18.8311]; p = 2.72E-05), thrombotic microangiopathy (aOR 3.5112, 95% CI [2.1457 - 5.7459]; p = 6.06E-07), other specified necrotizing vasculitis (aOR 34.9851, 95% CI [6.5912 - 185.6968]; p = 3.06E-05), and unspecified necrotizing vasculopathy (aOR 18.3357, 95% CI [2.2010 - 152.7467]; p = 0.0072). Additionally, the relative difference in length of stay was 53% higher in COVID-19 hospitalizations with vasculopathies than those without (RD 1.53, 95% CI [1.35 - 1.74]; p = 6.18E-11); similarly, the relative difference in total hospital charges was 97% higher (RD 1.97, 95% CI [1.58 - 2.46]; p = 2.18E-09).
Conclusion: This study demonstrates significantly higher odds of morbidity and mortality among COVID-19 hospitalizations with vasculopathies substantiating previous claims in the literature.
A Certified Access Control Policy Language: TEpla
Authors: Eaman Amir , Felty Amy 
Published: July 2023

Abstract
Access control is an information security process which guards protected resources against unauthorized access, as specified by restrictions in security policies. A variety of policy languages have been designed to specify security policies of systems. In this paper, we introduce a certified policy language, called TEpla, with formal semantics and simple language constructs, which we have leveraged to express and formally verify properties about complex security goals. In developing TEpla, we focus on security in operating systems and exploit security contexts used in the Type Enforcement mechanism of the SELinux security module. TEpla is certified in the sense that we have encoded the formal semantics and machine-checked the proofs of its properties using the Coq Proof Assistant. In order to express the desired properties, we first analyze the behavior of the language by defining different ordering relations on policies, queries, and decisions. These ordering relations enable us to evaluate how algorithms for deciding whether or not requests are granted by policies will react to changes in policies and queries. The machine-checked mathematical proofs guarantee that TEpla behaves as prescribed by the semantics. TEpla is a crucial step toward developing certifiably correct policy-related tools for Type Enforcement policies.
Channel Precoding for Compute and Forward relaying in Two way Relay Network model
Authors: Jeyalakshmi V , S Tamil Selvi 
Published: July 2023

Abstract
Physical layer network coding (PNC) is a promising strategy that aims to improve the spectral efficiency in relay based wireless transmission. In this paper, lattice based channel coding is employed at the source nodes for better performance during Multiple Access Channel (MAC) phase transmission. The achievable transmission rate in various PNC relaying such as Decode and Forward (DF), Amplify and Forward (AF) and Compute and Forward (CF) for the Two Way Relay Network model (TWRN) is derived and simulated through MATLAB software and analyzed. The analysis shows that rate performance of CF relaying outperforms other relaying techniques in Additive White Gaussian Noise (AWGN) channel, but it degrades for Rayleigh fading channel. To mitigate the effects of fading, channel aware precoding technique is employed at source nodes and Bit Error Rate (BER), symbol error rate performance are analyzed for CF relaying and Monte Carlo simulations are used to demonstrate the theoretical results. Channel precoding performance of CF relaying is compared with DF relaying.
Effect of running-in conditions on the super low EHD sliding friction of Si 3 N 4 ball and WC plate in glycerol-water solution
Authors: Cao Renshui , Liu Chenxu , Cao Hui , Li Yuanzhe , Khan Zulfiqar , Meng Yonggang 
Published: July 2023

Abstract
In water-based ultralow or super low friction experiments, a running-in period before achieving the ultralow or super low friction is necessary and important. However, the effect of the change in contact geometry has not been fully realised. In this paper, a series of running-in tests on a Si3N4 ball and a WC plate have been performed in glycerol-water mixtures with different concentrations. The shape of the wear scars and the chemical compositions of the worn surfaces were characterised in detail. A numerical EHD and mixed lubrication model was established to comprehensively analyze the effects of geometric profiles, surface roughness, and working / lubrication conditions on ultralow or super low sliding friction. The experiment and simulation results of the study have provided an in-depth understanding of the mechanism of super low friction of liquid lubricated sliding point contacts.
Player Performance Prediction in Football Game
Authors: Jha Rajiv , Rani Richa 
Published: July 2023

Abstract
In the game of football (soccer), evaluation of players for transfers, scouting, team building, and strategic planning are essential. Due to the huge pool of grassroots players, brief career span, varying performance over the course of a person's career, various play circumstances, positions, and variable club resources, it is difficult to determine a player's total performance worth. In order to approach this difficult topic analytically, our Player Performance Prediction System draws knowledge from a range of football player abilities and traits. It takes into account the football player's skill set values and forecasts a performance value that shows the player's potential for progress as well as his or her capacity. The objective of this system is to help team managers and coaches both at the amateur and professional levels find the football players who have the best chance of succeeding in the future without being influenced by arbitrary variables like club finances, league competition, or player importance
Analyzing Risk Factors for Second Malignancies in Early Gastric Carcinoma from the SEER Database
Authors: Song Lei , Jin Long , Zhang Lijing , Zhao Zhifang , Zhao Yu , Wang Lu , Zhao Jin 
Published: July 2023

Abstract
A retrospective study was conducted based on a large population analyzing GC patients treated between 2010 and 2015 to elucidate the clinical features and predictive risk factors for developing secondary primary malignancies (SPMs). The cumulative incidence of SPM in patients was determined using Kaplan‒Meier analysis. Competing risk analyses adjusted for mortality were used after stratified Cox proportional hazard regression models and multivariate analyses to identify independent SPM predictors. A total of 3,289 of 167,747 GC sufferers were included in our analytic cohort. Of these, 155 patients were diagnosed with SPM. Histologic types other than adenocarcinoma (AC) and signet ring cell carcinoma (SRCC) were independent risk factors for developing SPM (hazard ratio [HR] of 2.262, 95% confidence interval [CI] of 1.146–4.465, P = 0.019) in multivariate Cox regression analysis. The surgical method, including both biopsy/local excision (HR of 2.3, CI of 1.291–4.095, P = 0.005) and subtotal/total resection (HR of 1.947, CI of 1.028–3.687, P = 0.041), chemotherapy (HR of 1.527, CI of 1.006–2.316, P = 0.047 and histologic type (HR of 2.318, CI of 1.193–4.504, P = 0.013)), were independent risk factors in the competitive risk model. Meanwhile, in subgroup analyses stratified by chemotherapy, an increased risk of developing SPM was associated with older age. Furthermore, we developed and internally validated a nomogram for predicting the cumulative incidence of SPM in GC patients (C-index = 0.73 for 72 months). These findings suggested that in specific histologic types of GC, the lymph node infiltration region missed after local surgical resection and concomitant chemotherapy would have an increased risk of SPM.
Integrated lipid metabolomics and proteomics analysis reveal the pathogenesis of polycystic ovary syndrome
Authors: Yu Qian , Zeng Yaqiong , Huang Jingyu , Liu Kailu , Xie Ying , Chen Juan , Gao Mengya , Liu Li , Zhao Juan , Hong Yanli , Nie Xiaowei 
Published: July 2023

Abstract
Background
Polycystic ovary syndrome (PCOS) is an endocrinological and metabolic disorder that can lead to female infertility. Lipid metabolomics and proteomics are the new disciplines in systems biology aimed to discover metabolic pathway changes in diseases and diagnosis of biomarkers. This study aims to reveal the features of PCOS to explore its pathogenesis at the protein and metabolic level.
Methods
We collected follicular fluid samples and granulosa cells of women with PCOS and normal women who underwent in vitro fertilization(IVF) and embryo transfer were recruited. The samples were for the lipidomic study and the proteomic study based on the latest metabolomics and proteomics research platform.
Results
Lipid metabolomic analysis revealed abnormal metabolism of glycerides, glycerophospholipids, and sphingomyelin in the FF of PCOS. Differential lipids were strongly linked with the rate of high-quality embryos. In total, 144 differentially expressed proteins were screened in ovarian granulosa cells in women with PCOS compared to controls. Go functional enrichment analysis showed that differential proteins were associated with blood coagulation and lead to follicular development disorders.
Conclusion
The results of lipid metabolomics and proteomics showed that the differential lipid metabolites and proteins in PCOS were closely related to follicle quality.
Numerical Investigation of Scour Around Monopile Foundation of Offshore Wind Farm
Authors: Otoo Ebenezer , Asumadu Richard , Boadii Gideon Kwabena , Zhang Jisheng , Boadu Solomon , Mattah Precious 
Published: July 2023

Abstract
Local scour has been a major challenge facing stability of offshore wind farm foundations for years. This study uses a 3D numerical model to study the formation and development of scour at the foot of monopile foundations. The Reynolds-Averaged Navier-Stokes (RANS) with RNG k − ε turbulence model equations were used to study the interaction mechanism of the scour around the structure. The influence of flow velocity and particle size on the maximum scour depth and the extent of the scour footprint were examined. The results indicated that the diameter of the sediment also influences its susceptibility to scour. The finer the sediment, the more susceptible the bed is to scour, and the coarser the sediments are, the less susceptible they are to scour.
COX Inhibitor Use During Definitive Radiotherapy is Associated with Worse Hearing Preservation in Patients with Vestibular Schwannoma
Authors: Huerter Benjamin G , Johnson Kurtis C , Coutu Brendan G , Thedinger Britt , Bennion Nathan R , Zhang Chi 
Published: July 2023

Abstract
Purpose
Patients with vestibular schwannoma undergoing definitive radiotherapy commonly experience hearing loss due to tumor and treatment effects; however, there is limited data evaluating concurrent medication use and other clinicopathologic factors associated with hearing preservation during and after radiotherapy. We performed a retrospective cohort study reviewing consecutive patients from 2004 to 2019 treated with radiotherapy for vestibular schwannoma at our institution.
Methods
94 patients with concurrent medications, baseline audiograms, and post-radiotherapy audiograms available were evaluable. We performed chi-squared analyses of the frequency of various clinicopathologic factors and t-tests evaluating the degree of hearing loss based on audiograms.
Results
At a median follow-up of 35.7 months, the baseline pure-tone average (PTA) of the ipsilateral ear worsened from 34.3 dB to 55.3 dB following completion of radiotherapy (difference: 21.0, 95% CI: 15.8 – 26.1 dB, p<0.001). 36 patients (38.3%) reported use of cyclooxygenase (COX) inhibitors (including acetaminophen and NSAIDs) during radiotherapy. The mean increase in PTA was significantly higher for patients taking COX inhibitors (25.7 dB vs 18.2 dB, p=0.030) in the ipsilateral ear but not for the contralateral side. COX inhibitor use remained independently associated with worse PTA along with conventionally fractionated radiotherapy in the multivariate analysis.
Conclusion
COX inhibitor use during definitive radiotherapy is associated with worse hearing loss in the affected ear but not for the contralateral side. This suggests the ototoxic effects of COX inhibitors may be synergistic to the effects of radiotherapy. These results could have clinical implications and warrant further investigation.
On Novel Molecular Topological Characteristics of Polyphenylene Dendrimers
Authors: Ediz Süleyman 
Published: July 2023

Abstract
Hyperbranched monodisperse macromolecules with persistent shape and constrained size are called dendrimers. Topological indices are numerical parameters that relate the molecular structure's chemical, physical, and biological characteristics. We calculated the novel R, S, and Van molecular topological indices of polyphenylene dendrimer, which are degree-based molecular descriptors. Our findings contribute to a deeper comprehension of the characteristics of polyphenylene dendrimer that can be employed in medication development.
Comparitive Study Between Different Frequency Analysis Methods Over Tidal Data
Authors: Kumar Tanmay 
Published: July 2023

Abstract
In this paper, we compare the efficiency of three frequency analysis methods applied to tidal data from port 8443970 in Boston, Massachusetts1, USA. The effect of the Earth's rotation was evident through a RFFT2,3 frequency decomposition, revealing the highest contributing frequency of 2.0 times per day, which aligns with the sublunar/antipodal nature of tides. To assess the impact of lunar phase on the magnitude of tides, a lowpass Butterworth filter4,5 was applied to the mean normalized tidal data. Subsequently, the output data underwent RFFT analysis, uncovering the highest contributing frequency of 0.06896 times per day, approximately equivalent to twice a month. This aligns with the occurrence of two sets of neap and spring tides during a lunar cycle. We repeated the above process using Welch's Method6 and the Lomb-Scargle method. A comparative analysis of the computational efficiency of these three methods was performed utilizing a profiler.
Nomogram for Predicting Lateral Lymph Node Metastasis in Medullary Thyroid Carcinoma: A Retrospective Cohort Study of Single Clinical Center
Authors: Xu Jiankun , Li Rui , Zhang Wenjing , Zhou Luting , Wang Chaofu 
Published: July 2023

Abstract
Background
Medullary thyroid carcinoma (MTC) is a neuroendocrine tumor originating from parafollicular C cells of the thyroid, accounting for only 5% of all thyroid carcinomas. Lateral lymph nodes metastasis (LLNM) are the most important indicator of distant metastasis and clinical outcomes. Surgery is the only curative treatment for MTC, which is recommended to remove all lesions in the neck. We aim to establish a nomogram assessing risk factors of LLNM in MTC patients, and help surgeons make preoperative therapeutic decisions.
Materials and Methods
Totally 63 patients of a single clinical center between January 2013 and December 2020 were studied. Univariate and multivariate analysis were performed to examine risk factors associated with central lymph node metastasis (CNM) and LLNM. A nomogram for predicting LLNM was established.
Results
Several preoperative clinical features were found to be significantly associated with LLNM and were used to construct the model, including diameter > 1.6cm, calcitonin (CT) > 658.87 pg/mL, carcinoembryonic antigen (CEA) > 60 ng/ml. The nomogram had good discrimination with a concordance index of 0.961 (95% confidence interval [CI], 0.916 to 1). A decision curve analysis was made to evaluate the nomogram.
Conclusions
A nomogram was made to predict the probability of LLNM in patients presenting with MTC, which would help surgeons make appropriate therapeutic decisions.
Urban flooding risk assessment from an categorical regression-analytic hierarchy process
Authors: Ren Dong-Feng , Wei Xin , Wang Fei-Yue , Wang Jia-Long 
Published: July 2023

Abstract

The rapid development of urbanization and the impact of human activities have increased the impermeability of urban underlying surfaces, and the drainage capacity of urban drainage systems cannot meet the needs of cities, leading to frequent urban waterlogging. Taking the main urban area of Fuxin City in Liaoning Province as an example, this paper establishes a coupled hydrodynamic model based on Infoworks ICM model to simulate urban waterlogging. Six index factors are chosen for categorical regression(CATREG) and the analytic hierarchy process(AHP) to establish a model for waterlogging risk assessment by analyzing the three components of the urban waterlogging disaster system, the hazard-causing factors, the hazard-forming environment, and the disaster-affected body. The scenario simulation results and the index system technique are used to develop an urban waterlogging risk assessment model, and GIS spatial analysis technology is used to create an intuitive risk assessment map. The findings reveal that: (1) the optimal coupling of several risk assessment models for urban flooding risk assessment improves the assessment results' comprehensiveness and integration, and can provide a stable foundation for urban flooding management. (2) The dense distribution of pipelines in the study area's city center and the distribution of water outlets in the city's southern part have resulted in the distribution of flood-prone spots in the city's southern part, and reconstruction of underground pipeline networks and the construction of drainage pumping stations should be completed around it to reduce the risk level of this area.
Dual hollow-core anti-resonant fiber polarization beam splitter with excellent single-mode characteristics for ultra-broadband
Authors: Zhou Jingkai , Lu Yan , Jiang Anying , Chen Yu , Xu Jian Jie , Su Wei , Zou Hui 
Published: July 2023

Abstract
In this paper, we propose an ultra-wideband polarization beam splitter for a dual hollow-core anti-resonant fiber. We use a finite element algorithm to analyze the effects of each parameter of the dual hollow-core anti-resonant fiber on the coupling length, coupling length ratio and higher-order mode extinction ratio for x-polarized and y-polarized modes in detail. The final simulation structure shows that the designed dual hollow-core anti-resonant fiber polarization beam splitter possesses an ultra-wide bandwidth of up to 510 nm in the range of 1430–1940 nm and also exhibits outstanding single-mode characteristics in the corresponding range. We believe that the proposed dual hollow-core anti-resonant fiber polarization beam splitter has broad development and application prospects in fiber optic communication, fiber optic gyroscope, fiber optic sensing, etc.