bluuebunny/crossref_metadata_2025_split huggingface dataset:
Ryugu Sample Database System (RS-DBS) on the Data Archives and Transmission System (DARTS) by the JAXA curation
Authors: Nishimura Masahiro , Nakato Aiko , Abe Masanao , Nagashima Kana , Soejima Hiromichi , Yada Toru , Yogata Kasumi , Miyazaki Akiko , Hatakeda Kentaro , Yoshitake Miwa , Iwamae Ayako , Pilorget Cedric , Brunetto Rosario , Loizeau Damien , Bibring Jean-Pierre , Riu Lucie , Yumoto Koki , Cho Yuichiro , Yabe Yuna , Sugita Seiji , Ito Motoo , Okada Tatsuaki , Tachibana Shogo , Usui Tomohiro 
Published: May 2023

Abstract
The JAXA Astromaterials Science Research Group developed a web-based database system for the Hayabusa2-returned sample from C-type asteroid Ryugu. The database (Ryugu Sample Database System; RS-DBS) is designed as an online catalog for users of wide scientific communities to choose their preferred samples and propose the sample loan through the JAXA Ryugu Sample Announcement of Opportunity. Ryugu samples can be sorted and given identification numbers as individual particles larger than 1 mm and aggregate samples consisting of less than 1 mm particle through the Phase1 curation (i.e., the initial description). The RS-DBS lists all samples with analytical data such as a microscopy image, size, weight, spectroscopic data, and shape model obtained by the initial description at the JAXA curation facility. The list also includes research results conducted by previous projects (i.e., the Hayabusa2 initial analysis team and Phase2 curation teams). The RS-DBS, built with open-source technologies, archives the data securely and long-term on the Data Archives and Transmission System (DARTS) at ISAS/JAXA.
Predictive value of the Adult Comorbidity Evaluation 27 on adverse surgical outcomes and survival in elderly with advanced epithelial ovarian cancer undergoing cytoreductive surgery
Authors: Zhao Mengna , Gao Yang , Yang Junyuan , He Hao , Su Min , Wan Shimeng , Feng Xiaoye , Wang Hua , Cai Hongbing 
Published: May 2023

Abstract
Objective: We aimed to evaluate the ability of Adult Comorbidity Evaluation 27 (ACE-27) to predict perioperative outcomes and survival in elderly women with advanced epithelial ovarian cancer (AEOC) that underwent cytoreductive surgery.
Methods: We collected patients with AEOC in our hospital between January 1, 2012 and January 1, 2021, excluding patients younger than 65 years or those with non-epithelial ovarian cancer. ACE-27 was applied retrospectively to evaluate comorbidities in the selected patients. The patients included were classified into two groups, low ACE-27 score group (none to mild) and high ACE-27 score group (moderate to severe).
Results: A total of 222 elderly women with AEOC were included, of whom 164 patients accepted debulking surgery. Among those who have undergone surgery, Clavien-Dindo grade III+ perioperative complications or unintended intensive care unit (ICU) admission occurred more often in patients of high ACE-27 score group, with statistically significant difference (odds ratio [OR]: 4.21, 95% confidence interval [CI], 1.28-14.35, p = 0.018). Kaplan-Meier survival curves analyzed by Log-Rank test showed that the overall survival (OS) of patients with severe comorbidities were shorter than with none to moderate (HR 3.25, 95%CI 1.55-6.79, p=0.002). Further stratified analyses by age, BMI, FIGO stage and pathology also prove that OS of patients graded severe was shorter than patients graded none to moderate in cohort of age < 70, BMI < 25 kg/m2, FIGO III stage and pathology of serous, respectively.
Conclusions: Our findings demonstrate the ability of ACE-27 to predict grade III+ perioperative complications or unintended ICU admission and survival in elderly patients with AEOC. This tool for comorbidity assessment may identify patients with AEOC at higher risk of adverse surgical outcomes, poor overall survival, and assist in decisions regarding treatment.
Direct Position Determination with Carrier Frequency Estimation of Multiple Unknown Sources Using LEO Satellites
Authors: Luo Di , Zhang Yasheng , Yin Canbin , Liu Sitong 
Published: May 2023

Abstract
The detection of electromagnetic signals by satellites often uses a two-step method. The proposed direct position determination (DPD) method has improved the accuracy of passive location. However, the DPD method requires the signal carrier frequency as an input parameter, and the carrier frequencies of multiple unknown signals are challenging to measure accurately. In this paper, we propose a DPD method with carrier frequency estimation of multiple unknown sources using low-earth orbit (LEO) satellites, which estimate the carrier frequencies of each source while localizing.
Development of IoT Smart Cities and Optimization of English Education Systems Based on 5G Networks
Authors: Li Conghui 
Published: May 2023

Abstract
In recent years, smart cities have become a popular research direction in the fields of natural and social sciences. This article analyzes the impact of 5G networks and the Internet of Things on smart life, speculates on the potential trends of the 5G era in people's daily lives, and explores methods based on the multiple situational changes in 5G life and how people can respond to these situations. Then, this article explores English education. In contemporary society, due to the rapid development of information technology and economic globalization, the importance of the universal language - English - is increasingly being valued. At present, the competition in English education in China is becoming more intense, and the requirements for English teachers and universities are becoming increasingly strict. This article adopts the methods of questionnaire survey and in-depth interview to manage and analyze the problems existing in the pre class, during class, and post class stages of English learning for college students. Attempt to use learning methods suitable for English universities to manage information systems, in order to improve the quality of teaching services and optimize English learning process management in various universities, in order to enhance industry competitiveness. This article aims to accelerate the development of smart cities by studying people's life experiences with 5G networks and the Internet of Things. It also analyzes the optimization of computer systems and applies them to English education systems.
Immunization with V987H-stabilized Spike glycoprotein protects K18-hACE2 and golden Syrian hamster upon SARS-CoV-2 infection.
Authors: Carrillo Jorge , Ávila-Nieto Carlos , Vergara-Alert Júlia , Amengual-Rigo Pep , Ainsua-Enrich Erola , Brustolin Marco , Concepción Maria Luisa Rodriguez de la , Pedreño-Lopez Nuria , Rodon Jordi , Urrea Victor , Pradenas Edwards , Marfil Silvia , Ballana Ester , Riveira-Muñoz Eva , Pérez Mónica , Roca Núria , Tarrés-Freixas Ferran , Cantero Guillermo , Pons-Grífols Anna , Rovirosa Carla , Aguilar-Gurrieri Carmen , Ortiz Raquel , Barajas Ana , Trinité Benjamin , Lepore Rosalba , Muñoz-Basagoiti Jordana , Perez-Zsolt Daniel , Izquierdo-Useros Nuria , Valencia Alfonso , Blanco Julià , Guallar Víctor , Clotet Bonaventura , Segalés Joaquim 
Published: May 2023

Abstract
Safe and effective severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2) vaccines have been crucial to fight against the coronavirus disease 2019 pandemic. Most vaccines are based on a mutated version of the Spike glycoprotein [K986P/V987P (S-2P)] with improved stability, yield and immunogenicity. However, S-2P is still produced at low levels. Here, we described a novel V987H mutation that increases by two-fold the production of the recombinant Spike and the exposure of the receptor binding domain (RBD). S-V987H immunogenicity was similar to S-2P in K18-hACE2 mice and golden Syrian hamsters, and superior to a monomeric RBD. Immunization with S-V987H, but not with S-2P or RBD, conferred full protection against severe disease in both animal models after SARS-CoV-2 challenge (D614G and B.1.351 variants). Furthermore, S-V987H immunized K18-hACE2 mice showed a faster tissue viral clearance than RBD- or S-2P-vaccinated animals. Thus, S-V987H protein provides an alternative to S-2P for future SARS-CoV-2 vaccines development.
No genetic causal association between polycystic ovary syndrome and the risk of cardiovascular diseases: A mendelian randomization study
Authors: Xiao Zhang , Huangfu Zhao , Wang Shaowei 
Published: May 2023

Abstract
Objective Polycystic ovary syndrome (PCOS) is one of the risk factors for cardiovascular diseases (CVDs). However, the possible association between PCOS and common CVDs remains inconclusive. The aim of this study was to explore the potential relationship between PCOS and CVDs.Methods We conducted two-sample Mendelian randomization (MR) analyses. In our study, 14 single nucleotide polymorphisms (SNPs) in Europeans and another 13 SNPs in Asians were applied as instrumental variables for PCOS. The largest published meta-genome-wide association studies of European ancestry and the BioBank Japan Project of Asian ancestry were used to collect the outcome data. MR analysis was performed using inverse variance weighting as the primary method. Several sensitivity analyses and instrumental variable strength evaluations were also performed to verify the reliability of results.Results Our analysis revealed that any potential causal association between genetically-predicted PCOS and the risk of CVDs do not exist. These CVDs include peripheral artery disease, atrial fibrillation, arrhythmia, cardiovascular diseases, heart failure, peripheral vascular disease, hypertension, ischemic stroke, myocardial infarction and venous thromboembolisms. Associations could not be found even after the SNPs linked to these possible confounders (body mass index, waist-to-hip ratio, and serum testosterone) were deleted. Sensitivity analysis demonstrated no presence of horizontal pleiotropy or heterogeneity.Conclusion The present mendelian randomization study suggests that genetically-predicted PCOS may not be associated with the risk of CVDs.
Acute kidney injury in children: incidence, awareness and outcome – a retrospective cohort study
Authors: Chisavu Flavia , Gafencu Mihai , Stroescu Ramona , Motofelea Alexandru , Chisavu Lazar , Schiller Adalbert 
Published: May 2023

Abstract
Background
The primary objective was to determine the epidemiologic influence of AKI awareness among physicians in a mixt paediatric population, including neonates.
Methods
This single-centre, multiyear, observational retrospective study included all admitted patients between first of January 2014 until 31 December 2021. AKI was identified in 2194 patients out of the 128 036 hospital admissions with 129 936 serum creatinine measurements. Matching comparisons were used between AKI aware and AKI non-aware patients.
Results
The overall incidence of AKI was 1.65%. Stage 1 was identified in 24.24% of the AKI cases, stage 2 in 31.03% and stage 3 in 44.71%. The most prevalent cause of AKI was represented by prerenal AKI in 85.64% of the cases, followed by 12.16% renal causes respectively 2.18% postrenal causes. Exposure to sepsis, critical illness, hypovolemic shock and mechanical ventilation increased mortality by 2.09, 4.69, 4.64- and 4.93-times (p = 0.001). Cancer and heart failure increased mortality by 4.22 (p < 0.001) respectively 2.17 times (p = 0.001). The presence of AKI increased mortality by 79.11 times while only half of the AKI associated deaths were recognized by physicians. AKI increased hospitalization more than 4 times the average stay. AKI awareness was dependent of lower age and severity. Also, awareness increased mortality and prolonged hospitalization.
Conclusions
1 in 3 neonates and 1 in 4 children were AKI aware. The physician’s awareness of AKI diagnosis is in general low due to lack of appliance of current guidelines in exploring exposures and susceptibilities for AKI screening.
Quasi-resonant tunneling states in triangular double-barrier nanostructures
Authors: Elabsy Abdelsalam , Attia Mohamed 
Published: May 2023

Abstract
Quasi-resonant tunneling energy states and their corresponding lifetimes were examined in symmetric triangular double-barrier nanostructures composed of GaAs-AlyGa1-yAs. The present study employs the complex energy technique that involves solving two transcendental equations. One of these equations is associated with the even-energy state, while the other is associated with the odd-energy state of the resonant tunneling. The quasi- resonant tunneling energy is determined from the real part of the complex root while as the associated lifetime is found from the imaginary part of the complex root through the uncertainty energy-time relationship. The numerical investigation imposes a single wavefunction attributed to the spatial probability density of the electron inside the triangular barrier region. The results demonstrate that the quasi-resonant tunneling energies enhance by diminishing the well width and increasing the aluminum concentration within the barrier material for a fixed barrier thickness. In addition, enhancing both the aluminum concentration and the barrier thickness yield longer quasi-resonant tunneling lifetimes. The findings of the current study indicate that resonant tunneling energies and lifetimes align closely with the published data in the literature.
A Novel Surface Treatment to Selectively Harden TI6AL4V Surfaces
Authors: WEI QI , SI SHANSHAN , Ji Xiaochao , Ju Yulin 
Published: May 2023

Abstract
Various surface treatments have been developed on Ti and its alloy to improve their tribological properties. However, for some components, only specific surfaces need to be hardened rather than the whole surfaces. This study develops a duplex heat treatment including selective surface hardening by pre-painting TiO2 powder and thermal oxidation. It is found TiO2 powdered layer can be used as an oxygen reservoir for boost diffusion treatment at a temperature of 800–900°C. The abundance of oxygen provides high potential and accelerates the diffusion process, deeply hardening the surface case. Moreover, the duplex treatment is optimal for selectively hardened surfaces with high load-bearing capacity and much improved tribological properties. Pre-painting the surfaces that need to be hardened is easily operated and has good potential to be applied in industry.
Bio-adsorption of heavy metals from aqueous solution using the ZnO-modified date pits
Authors: Hummadi Khalid Khazzal , zhu Lin , He Songbo 
Published: May 2023

Abstract
The bio-adsorption of Cu2+, Ni2+, and Zn2+ in aqueous solution using the ZnO-modified date pits (MDP) as the bio-adsorbent are investigated. The fresh and used bio-adsorbents were characterized by FT-IR, SEM, BET, and XRD. The bio-adsorption parameters (including the pH of solution, the particle size of MDP, the shaking speed, the initial concentration of heavy metals, the dosing of MDP, the adsorption time, and the adsorption temperature) were screened and the data were used to optimize the bio-adsorption process and to study the bio-adsorption isotherms, kinetics, and thermodynamics. Two adsorption models (Langmuir isotherm model and Freundlich isotherm model) and three kinetic models (pseudo-first-order model, pseudo-second-order model, and intra-particle diffusion model) were applied to model the experimental data. Results show that the maximum adsorption amount of Cu2+, Ni2+, and Zn2+ on a complete monolayer of MDP are 82.4, 71.9, and 66.3 mg g-1, which are over 4 times of those of date pits-based bio-adsorbents reported in literature. The bio-adsorption of heavy metals on MDP is spontaneous and exothermic, and is regulated by chemical adsorption on the homogeneous and heterogeneous adsorption sites of MDP surface. This work demonstrates an effective modification protocol for the date pits-based bio-adsorbent for improved bio-adsorption performance.
Edge effects on tree architecture exacerbate biomass loss of fragmented Amazonian forests
Authors: Nunes Matheus , Vaz Marcel , Camargo José Luís , Laurance William , de Andrade Ana , Vicentini Alberto , Laurance Susan , Raumonen Pasi , Jackson Toby , Zuquim Gabriela , Wu JIn , Penuelas Josep , Chave Jerome , Maeda Eduardo 
Published: May 2023

Abstract
Trees adjust their architecture to acclimate to various external stressors, which regulates ecological functions that are needed for growth, reproduction, and survival. Human activities, however, are fragmenting natural habitats apace and could affect tree architecture and allometry, but quantitative assessments remain lacking. Here, we leverage ground surveys of terrestrial LiDAR in Central Amazonia to comprehensively assess forest edge effects on tree architecture and allometry, and their associated impacts on the forest biomass 40 years after fragmentation. We found that young trees colonising the forest fragments have thicker branches and architectural traits that maximise light capture, and can produce 50% more wood than their counterparts of similar stem size and height in interior forests. Large trees that have survived disturbances arising from forest fragmentation are able to acclimate and maintain their wood production, but damages that reduce tree height near the edges can lead to a 30% decline of their woody volume. Despite the large wood production of colonising trees, changes in tree architecture lead to a net loss of 6.6 Mg ha-1 of the forest aboveground biomass, which account for 20% of all edge-related aboveground biomass losses of fragmented Amazonian forests (34.3 Mg ha-1). Our findings show a strong influence of edge effects on tree architecture and allometry, and reveal an additional unaccounted factor that exacerbates carbon losses in fragmented forests.
Detection of Disseminated Tumor Cells in Patients with Early Breast Cancer is Associated with 21-Gene-Assay: Results from the Impact of Recurrence Score ® Result on Adjuvant Treatment Decisions and Tumor Cell Dissemination in Estrogen Receptor-Positive and HER2-Negative Patients with Early Breast Cancer (IRMA) Trial
Authors: Volmer Lea L. , Dannehl Dominik , Engler Tobias , Hahn Markus , Walter Christina B. , Wallwiener Markus , Brucker Sara Y. , Taran Florin-Andrei , Hartkopf Andreas D. 
Published: May 2023

Abstract
Disseminated tumor cells (DTCs) in the bone marrow (BM) are known to be of prognostic value for patients with early breast cancer (EBC). In addition to histopathological features, multigene expression assays, such as the commercially available 21-gene Breast Recurrence Score® assay, have been validated for evaluating prognosis and making decisions concerning adjuvant treatment in EBC. In a previous retrospective study from our group, the 21-gene assay was shown to be associated with DTC-detection. A key endpoint of the prospective IRMA trial was to evaluate the association between Recurrence Score® (RS) result and tumor cell dissemination in patients with EBC. DTC-status and RS result were assessed in patients with ER-positive/HER2-negative EBC with 0–3 pathologic lymph nodes who underwent primary surgical treatment at the Department for Women’s Health of Tuebingen University, Germany. Patients with a high RS result (≥ 26) were more frequently DTC-positive (22.6%) than patients with a low RS result (8.6%, p=0.034). The odds for DTC-positivity increased with rising RS values (p= 0.047). We therefore confirm that a high genomic risk is associated with tumor cell dissemination into the BM. Further trials are needed to investigate whether therapeutic decisions could be further individualized by combining DTC-status and prognostic gene signature testing.
Optimization of hydrothermal synthesis of nickel oxide with flower-like structure
Authors: Tran Thuy Thi Bich , Park Eui-Jeong , son jong tae 
Published: May 2023

Abstract
Herein, nano-flower NiO is successfully fabricated via a simple hydrothermal process using urea and nickel(II) nitrate as reactants, followed by a calcination reaction. Final products with different morphologies are obtained by varying the molar ratio of the reactants, varying the solvent, and using a surfactant. The results reveal that the NiO particles obtained using a molar ratio of 1:2 (Ni: urea) in a mixture of water and ethanol as the solvent and in the presence of cetyl trimethyl ammonium bromide (CTAB) exhibit the best uniformity and an excellent BET specific surface area of 62.97 m2 g–1. The increase in uniformity and decrease in particle size can be attributed to the ethanol in the solvent, which slows ion diffusion in the solution and CTAB, thereby controlling the growth of particles.
Dual-trait pleiotropic analysis in highly stratified natural populations using genome-wide association summary statistics
Authors: Shen Xia , Feng Xiao , Zan Yanjun , Ning Zheng , Xu Weilin , Wan Qianhui , Zeng Dongyu , Zeng Ziyi , Liu Yang 
Published: May 2023

Abstract

Genome-wide association analysis is a powerful tool to identify genomic loci underlying complex traits. However, the application in natural populations comes with challenges, especially power loss due to population stratification. Here, we introduce a bivariate analysis approach to a GWAS dataset of Arabidopsis thaliana. We demonstrate the efficiency of double-phenotype analysis to uncover hidden genetic loci masked by population structure via a series of simulations. In real data analysis, a common allele, strongly confounded with population structure, is discovered to be associated with late flowering and slow maturation of the plant. The discovered genetic effect on flowering time is further replicated in independent datasets. Using Mendelian randomization analysis based on summary statistics from our GWAS and expression QTL scans, we predicted and replicated a candidate gene AT1G11560 that potentially causes this association. Further analysis indicates that this locus is co-selected with flowering-time-related genes. The discovered pleiotropic genotype-phenotype map provides new insights into understanding the genetic correlation of complex traits.