bluuebunny/crossref_metadata_2025_split huggingface dataset:
Novavax NVX-COV2373 triggers neutralization of Omicron sub-lineages
Authors: Bhiman Jinal N. , Richardson Simone I. , Lambson Bronwen E. , Kgagudi Prudence , Mzindle Nonkululeko , Kaldine Haajira , Crowther Carol , Gray Glenda , Bekker Linda-Gail ,   Novavax trial clinical lead author group, Koen Anthonet , Fairlie Lee , Fouche Leon , Bhorat Qasim , Dheda Keertan , Tameris Michele , Masilela Mduduzi , Hoosain Zaheer , Singh Nishanta , Hanley Sherika , Archary Moherndran , Louw Cheryl , Grobbelaar Coert , Lalloo Umesh , Joseph Natasha , Kruger Gertruida , Shinde Vivek , Bennett Chijioke , Glenn Gregory M. , Madhi Shabir A. , Moore Penny L. 
Published: January 2023

AbstractThe SARS-CoV-2 Omicron (B.1.1.529) Variant of Concern (VOC) and its sub-lineages (including BA.2, BA.4, BA.5, BA.2.12.1) contain spike mutations that confer high level resistance to neutralizing antibodies induced by vaccination with ancestral spike or infection with previously circulating variants. The NVX-CoV2373 vaccine, a protein nanoparticle vaccine containing the ancestral spike sequence, has value in countries with constrained cold-chain requirements. Here we report neutralizing titers following two or three doses of NVX-CoV2373. We show that after two doses, Omicron sub-lineages BA.1 and BA.4/BA.5 were resistant to neutralization by 72% (21/29) and 59% (17/29) of samples respectively. However, after a third dose of NVX-CoV2373, we observed high titers against Omicron BA.1 (GMT: 1,197) and BA.4/BA.5 (GMT: 582), with responses similar in magnitude to those triggered by three doses of an mRNA vaccine. These data are of particular relevance as BA.4/BA.5 is dominating in multiple locations, and highlight the potential utility of the NVX-CoV2373 vaccine as a booster in resource-limited environments.
Precision agriculture management based on a surrogate model assisted multiobjective algorithmic framework
Authors: Cheng Du , Yao Yifei , Liu Renyun , Li Xiaoning , Guan Boxu , Yu Fanhua 
Published: January 2023

AbstractSustainable intensification needs to optimize irrigation and fertilization strategies while increasing crop yield. To enable more precision and effective agricultural management, a bi-level screening and bi-level optimization framework is proposed. Irrigation and fertilization dates are obtained by upper-level screening and upper-level optimization. Subsequently, due to the complexity of the problem, the lower-level optimization uses a data-driven evolutionary algorithm, which combines the fast non-dominated sorting genetic algorithm (NSGA-II), surrogate-assisted model of radial basis function and Decision Support System for Agrotechnology Transfer to handle the expensive objective problem and produce a set of optimal solutions representing a trade-off between conflicting objectives. Then, the lower-level screening quickly finds better irrigation and fertilization strategies among thousands of solutions. Finally, the experiment produces a better irrigation and fertilization strategy, with water consumption reduced by 44%, nitrogen application reduced by 37%, and economic benefits increased by 7 to 8%.
Efficient design and analysis of secure CMOS logic through logic encryption
Authors: Chandra Sai Srinivas , Kannan R. Jagadeesh , Balaji B. Saravana , Veeramachaneni Sreehari , Noor Mahammad Sk. 
Published: January 2023

AbstractUntrusted third parties and untrustworthy foundries highlighted the significance of hardware security in the present-day world. Because of the globalization of integrated circuit (IC) design flow in the semiconductor industry, hardware security issues must be taken to prevent intellectual property (IP) piracy. Logic encryption is an efficient method to protect circuits from IP piracy, reverse engineering, and malicious tampering of IC for Trojan insertion. Researchers have proposed many logic encryption methods, which lead to overhead in circuit design parameters such as area, power, and performance. This paper aims to bring a trade-off between these parameters, with security being the main key factor, and ensure the design metrics by proposing a novel transistor-level method of logic encryption for CMOS gates. Experimental results show that, on the usage of proposed encrypted key gates, the design overheads such as area, power, delay, and energy are reduced by an average of 42.94%, 37.37%, 26.79%, and 50.96%, respectively, over the existing logic encryption-based topologies.
New ternary powder metallurgy Ti alloys via eutectoid and isomorphous beta stabilisers additions
Authors: Paul M. , Alshammari Y. , Yang F. , Bolzoni L. 
Published: January 2023

AbstractA group of new ternary Ti alloys bearing eutectoid and isomorphous beta stabilising elements was created to be manufactured through the conventional powder metallurgy route. The effect of the simultaneous addition of the same amount of Mn and Nb on the manufacturability, properties, and hardening behaviour was investigated. The ternary alloys are composed of the α-Ti and β-Ti phases and have a lamellar microstructure resulting from the slow cooling upon sintering. However, the size of the equiaxed α grains and of the α + β lamellae is monotonically reduced, especially the interlamellar spacing, as the amount of alloying elements increases. Due to their physical properties, Mn enhances and Nb hinders densification during sintering resulting in a decreasing trend of the relative density with the alloying elements content. Consequently, the resistance to plastic deformation increases (UTS, 514–726 MPa), the ductility decreases (elongation, 13.2–2.6%), and the fracture mode changes from intergranular to transgranular. The new ternary alloys share the same hardening mechanism, but the amount of deformation after necking is, generally, higher for lower amounts of Mn and Nb.
Comparing avian species richness estimates from structured and semi-structured citizen science data
Authors: Shen Fang-Yu , Ding Tzung-Su , Tsai Jo-Szu 
Published: January 2023

AbstractCitizen science, including structured and semi-structured forms, has become a powerful tool to collect biodiversity data. However, semi-structured citizen science data have been criticized for higher variability in quality, including less information to adjust for imperfect detection and uneven duration that bias the estimates of species richness. Species richness estimators may quantify bias in estimates. Here, we test the effectiveness of Chao1 estimator in eBird (semi-structured) by comparing it to averaged species richness in Breeding Bird Survey Taiwan, BBS (structured) and quantifying bias. We then fit a power function to compare bias while controlling for differences in count duration. The Chao1 estimator increased the species richness estimates of eBird data from 56 to 69% of the average observed BBS and from 47 to 59% of the average estimated BBS. Effects of incomplete short duration samples and variability in detectability skills of observers can lead to biased estimates. Using the Chao1 estimator improved estimates of species richness from semi-structured and structured data, but the strong effect of singleton species on bias, especially in short duration counts, should be evaluated in advance to reduce the uncertainty of estimation processes.
Current tobacco use and COVID-19 diagnoses in a cohort of adult clients of public dental clinics in Sweden
Authors: Galanti M. R. , Andersson F. , Caspersen I. H. , Peña S. , Karvonen S. , Magnus P. , Raffetti E. , Orsini N. , Magnusson C. , Shaaban A. N. , Hergens M. P. , Skott P. 
Published: January 2023

AbstractSmoking has been linked with both increased and decreased risk of COVID-19, prompting the hypothesis of a protective role of nicotine in the pathogenesis of the disease. Studies of the association between use of smokeless tobacco and COVID-19 would help refining this hypothesis. We analysed data from 424,386 residents in the Stockholm Region, Sweden, with information on smoking and smokeless tobacco (snus) use prior to the pandemic obtained from dental records. Diagnoses of COVID-19 between February and October 2020 were obtained from health-care registers. We estimated the risk of receiving a diagnosis of COVID-19 for current smokers and for current snus users relative to non-users of tobacco, adjusting for potential confounders (aRR). The aRR of COVID -19 was elevated for current snus users (1.09 ;95%CI = 0.99–1.21 among men and 1.15; 95%CI = 1.00–1.33 among women). The risk for women consuming more than 1 can/day was twice as high as among non-users of tobacco. Current smoking was negatively associated with risk of COVID-19 (aRR = 0.68; 95% CI = 0.61–0.75); including hospital admission (aRR = 0.60; 95% CI = 0.47–0.76) and intensive care (aRR = 0.43; 95% CI = 0.21–0.89). The hypothesis of a protective effect of tobacco nicotine on COVID-19 was not supported by the findings. The negative association between smoking and COVID-19 remains unexplained.
Adaptive physics-informed trajectory reconstruction exploiting driver behavior and car dynamics
Authors: Makridis Michail A. , Kouvelas Anastasios 
Published: January 2023

AbstractAs more and more trajectory data become available, their analysis creates unprecedented opportunities for traffic flow investigations. However, observed physical quantities like speed or acceleration are often measured having unrealistic values. Furthermore, observation devices have different hardware and software specifications leading to heterogeneity in noise levels and limiting the efficiency of trajectory reconstruction methods. Typical strategies prune, smooth, or locally modify vehicle trajectories to infer physically plausible quantities. The filtering strength is usually heuristic. Once the physical quantities reach plausible values, additional improvement is impossible without ground truth data. This paper proposes an adaptive physics-informed trajectory reconstruction framework that iteratively detects the optimal filtering magnitude, minimizing local acceleration variance under stable conditions and ensuring compatibility with feasible vehicle acceleration dynamics and common driver behavior characteristics. Assessment is performed using both synthetic and real-world data. Results show a significant reduction in the speed error and invariability of the framework to different data acquisition devices. The last contribution enables the objective comparison between drivers with different sensing equipment.
Unidirectional motion of C60-based nanovehicles using hybrid substrates with temperature gradient
Authors: Kianezhad Mohammad , Youzi Mehrdad , Vaezi Mehran , Nejat Pishkenari Hossein 
Published: January 2023

AbstractWith the synthesis of nanocar structures the idea of transporting energy and payloads on the surface became closer to reality. To eliminate the concern of diffusive surface motion of nanocars, in this study, we evaluate the motion of C60 and C60-based nanovehicles on graphene and hexagonal boron-nitride (BN) surfaces using molecular dynamics simulations and potential energy analysis. Utilizing the graphene-hBN hybrid substrate, it has been indicated that C60 is more stable on boron-nitride impurity regions in the hybrid substrate and an energy barrier restricts the motion to the boron-nitride impurity. Increasing the temperature causes the molecule to overcome the energy barrier frequently. A nanoroad of boron-nitride with graphene sideways is designed to confine the surface motion of C60 and nanovehicles at 300 K. As expected, the motion of all surface molecules is limited to the boron-nitride nanoroads. Although the motion is restricted to the boron-nitride nanoroad, the diffusive motion is still noticeable in lateral directions. To obtain the unidirectional motion for C60 and nanocars on the surface, a temperature gradient is applied to the surface. The unidirectional transport to the nanoroad regions with a lower temperature occurs in a short period of time due to the lower energies of molecules on the colder parts.
Improving the efficiency of using multivalued logic tools
Authors: Suleimenov Ibragim E. , Vitulyova Yelizaveta S. , Kabdushev Sherniyaz B. , Bakirov Akhat S. 
Published: January 2023

AbstractMultivalued logics are becoming one of the most important tools of information technology. They are in great demand for creation of artificial intelligence systems that are close to human intelligence, since the functioning of the latter cannot be reduced to the operations of binary logic. At the same time, the problem of improving the efficiency of using the results of research in multivalued logics, as well as the problem of interpreting variables of multivalued logic, is acute. These problems create certain interdisciplinary barriers and make it difficult to implement the results of research in the field of multivalued logics in other fields of knowledge. It is shown that the problem of interpreting multivalued logic variables can be removed by establishing correspondence with fuzzy logic variables. Improving the efficiency of using of operations of multivalued logics and their variables can be provided by using their close connection to Galois fields. This connection, among other things, makes it possible to reduce any operations of multivalued logics, the number of variables in which is equal to a prime number, to algebraic functions whose arguments take values in Galois fields. This allows, among other things, to eliminate the very cumbersome constructions used in works on multivalued logic and make its apparatus convenient for use in related scientific disciplines in information technology. Direct verification of the adequacy of algorithms based on the use of Galois fields can be carried out by means of radio-electronic circuits, examples of which are presented in the present paper.
Predicting and elucidating the post-printing behavior of 3D printed cancer cells in hydrogel structures by integrating in-vitro and in-silico experiments
Authors: Mohammadrezaei Dorsa , Moghimi Nafiseh , Vandvajdi Shadi , Powathil Gibin , Hamis Sara , Kohandel Mohammad 
Published: January 2023

AbstractA key feature distinguishing 3D bioprinting from other 3D cell culture techniques is its precise control over created structures. This property allows for the high-resolution fabrication of biomimetic structures with controlled structural and mechanical properties such as porosity, permeability, and stiffness. However, analyzing post-printing cellular dynamics and optimizing their functions within the 3D fabricated environment is only possible through trial and error and replicating several experiments. This issue motivated the development of a cellular automata model for the first time to simulate post-printing cell behaviour within the 3D bioprinted construct. To improve our model, we bioprinted a 3D construct using MDA-MB-231 cell-laden hydrogel and evaluated cellular functions, including viability and proliferation in 11 days. The results showed that our model successfully simulated the 3D bioprinted structure and captured in-vitro observations. We demonstrated that in-silico model could predict and elucidate post-printing biological functions for different initial cell numbers in bioink and different bioink formulations with gelatine and alginate, without replicating several costly and time-consuming in-vitro measurements. We believe such a computational framework will substantially impact 3D bioprinting's future application. We hope this study inspires researchers to further realize how an in-silico model might be utilized to advance in-vitro 3D bioprinting research.
Effect analysis of different methods on radial neck fracture in children
Authors: Meng Hailiang , Li Min , Jie Qiang , Wu Yongtao 
Published: January 2023

AbstractTo analyze the curative effect of varying treatment types in 75 pediatric cases of radial neck fracture and explore the prognosis-related factors. Clinical data of 75 children with radial neck fractures treated in our hospital from January 2015 to December 2016 were retrospectively collected. The relationship between age, fracture type, treatment method, X-ray examination after reduction, and prognosis was analyzed. Age was related to prognosis. The excellent and good rate of treatment was 89.25% for children with age ≤ 10 and 57.89% for children over 10 years old. The type of fracture was closely related to the curative effect, 95.0% of O’Brien type I fractures had good curative effects, and the excellent and good rates of O’Brien II type and III type fractures were 87.0 and 66.7%, respectively. According to the type of fracture, the excellent and good rate of patients treated with plaster fixation was the highest (96.42%), but the excellent and good rate was 72.3% in the patients who needed to be reduced by Kirschner wire or elastic intramedullary nail. Although open reduction is superior to closed reduction in imaging evaluation, the excellent and good rate is only 50%.The prognosis of children with radial neck fracture is related to age, type of fracture, and treatment method. In pediatric patients less than 10 years with light, shifted fractures, the excellent and good prognosis rate is higher with less operative intervention. We recommend treating patients with closed reduction and elastic nail fixation according to different fracture types.
Walk-on-Hemispheres first-passage algorithm
Authors: Son Jinseong , Shin Dongheyon , Hwang Chi-Ok 
Published: January 2023

AbstractDue to the isomorphism between an electrostatic problem and the corresponding Brownian diffusion one, the induced charge density on a conducting surface by a charge is isomorphic to the first-passage probability of the diffusion initiated at the location of the charge. Based on the isomorphism, many diffusion algorithms such as “Walk-on-Spheres” (WOS), “Walk-on-Planes” and so on have been developed. Among them, for fast diffusion simulations WOS algorithm is generally applied with an $$\varepsilon $$
ε
-layer, which is used for diffusion convergence on the boundary but induces another error from the $$\varepsilon $$
ε
-layer in addition to the intrinsic Monte Carlo error. However, for a finite flat boundary it is possible to terminate a diffusion process via “Walk-on-Hemispheres” (WOH) algorithm without the $$\varepsilon $$
ε
-layer. In this paper, we implement and demonstrate this algorithm for the induced charge density distribution on parallel infinite planes when a unit charge is between the plates. In addition, we apply it to the mutual capacitance of two circular parallel plates. In both simulations, WOH algorithm shows much better performance than the previous WOS algorithm.
Sulforaphane ameliorates bisphenol A-induced hepatic lipid accumulation by inhibiting endoplasmic reticulum stress
Authors: Hong Lixia , Xu Yide , Wang Dongdong , Zhang Qi , Li Xiaoting , Xie Chunfeng , Wu Jieshu , Zhong Caiyun , Fu Jinyan , Geng Shanshan 
Published: January 2023

AbstractThe aim of the present study was to investigate the role of endoplasmic reticulum (ER) stress in bisphenol A (BPA) – induced hepatic lipid accumulation as well as the protective effects of Sulforaphane (SFN) in this process. Human hepatocyte cell line (LO2) and C57/BL6J mice were used to examine BPA-triggered hepatic lipid accumulation and the underlying mechanism. Hepatic lipid accumulation, triglycerides (TGs) levels, the expression levels of lipogenesis-related genes and proteins in the ER stress pathway were measured. It was revealed that BPA treatment increased the number of lipid droplets, the levels of TG and mRNAs expression of lipogenesis-related genes, and activated the ER stress pathway. These changes were inhibited by an ER stress inhibitor 4-phenylbutyric acid. SFN treatment abrogated BPA-altered hepatic lipid metabolism and ameliorated BPA-induced ER stress-related markers. Together, these findings suggested that BPA activated ER stress to promote hepatic lipid accumulation, and that SFN reversed those BPA effects by alleviating ER stress.
Food insecurity and health outcomes among community-dwelling middle-aged and older adults in India
Authors: Pengpid Supa , Peltzer Karl 
Published: January 2023

AbstractThe study assessed associations between food insecurity and mental, physical, and behavioural health outcomes in India. The study analysed national cross-sectional population-based data (N = 72,262;  ≥ 45 years) from in India in 2017–2018. The overall prevalence of food insecurity was 9.7%. Food insecurity was significantly positively associated with poor mental health [low life satisfaction (AOR: 2.75, 95% CI 2.35–3.23), low self-reported health (AOR: 1.61, 95% CI 1.11–1.42), insomnia symptoms (AOR: 1.64, 95% CI 1.45–1.85), depressive symptoms (AOR: 2.21, 95% CI 1.97–2.48), major depressive disorder (AOR: 2.37, 95% CI 2.03–2.77), Alzheimer’s/dementia (AOR: 1.75, 95% CI 1.13–2.69), and poorer cognitive functioning (AOR: 0.68, 95% CI 0.49–0.93)], poor physical health [bone or joint disease (AOR: 1.18, 95% CI 1.04–1.34), angina (AOR: 1.80, 95% CI 1.58–2.06), underweight (AOR: 1.28, 95% CI 1.16–1.40), chronic lung disease (AOR: 1.22, 95% CI 1.03–1.45), and functional disability (AOR: 1.68, 95% CI 1.47–1.92)], and health risk behaviour [tobacco use (AOR: 1.13, 95% CI 1.01–1.25), heavy episodic drinking (AOR: 1.45, 95% CI 1.10–1.91) and physical inactivity (AOR: 1.42, 95% CI 1.21–1.67)]. Furthermore, food insecurity was negatively associated with overweight/obesity (AOR: 0.80, 95% CI 0.73–0.88). Food insecurity was associated with seven poor mental health indicators, five poor physical health conditions, and three health risk behaviours. Programmes and policies that improve food availability may help improve mental and physical health among middle-aged and older adults in India.
Comparing the transcriptome of developing native and iPSC-derived mouse retinae by single cell RNA sequencing
Authors: Georges Anouk , Lavergne Arnaud , Mandai Michiko , Lepiemme Fanny , Karim Latifa , Demeulenaere Loic , Aguilar Diego , Schyns Michael , Nguyen Laurent , Rakic Jean-Marie , Takahashi Masayo , Georges Michel , Takeda Haruko 
Published: January 2023

AbstractWe report the generation and analysis of single-cell RNA-Seq data (> 38,000 cells) from mouse native retinae and induced pluripotent stem cell (iPSC)-derived retinal organoids at four matched stages of development spanning the emergence of the major retinal cell types. We combine information from temporal sampling, visualization of 3D UMAP manifolds, pseudo-time and RNA velocity analyses, to show that iPSC-derived 3D retinal organoids broadly recapitulate the native developmental trajectories. However, we observe relaxation of spatial and temporal transcriptome control, premature emergence and dominance of photoreceptor precursor cells, and susceptibility of dynamically regulated pathways and transcription factors to culture conditions in retinal organoids. We demonstrate that genes causing human retinopathies are enriched in cell-type specifying genes and identify a subset of disease-causing genes with expression profiles that are highly conserved between human retinae and murine retinal organoids. This study provides a resource to the community that will be useful to assess and further improve protocols for ex vivo recapitulation and study of retinal development.