bluuebunny/crossref_metadata_2025_split huggingface dataset:
Characterization of genetic resistance to cucumber mosaic virus (CMV) in spinach (Spinacia oleracea L.)
Authors: Wu Yue , Hirakawa Hideki , Masuta Chikara , Onodera Yasuyuki 
Published: July 2024

Abstract

Objective
Cucumber mosaic virus (CMV) is a significant pathogen causing quality loss in spinach. Although host genetic resistance is the primary method of managing CMV infection in this crop, CMV resistance genes are not widely utilized in spinach breeding programs as the genetic and molecular mechanisms underlying resistance are not yet fully understood. CMV infections were therefore studied in different lines of spinach plants, and their progeny, to develop a model of the genetic basis of CMV resistance.
Results
Visual observations and RT-PCR assays revealed that three monoecious lines (03-258, 03-263, and 03-336) were susceptible to CMV, while three germplasm accessions (PI 699741, PI 699746, and PI 699758) and a near-isogenic line (NIL-M) exhibited resistance. A dioecious line (03–009) consisted of susceptible and resistant plants. Notably, resistant plants did not exhibit the lesions typical of the hypersensitive response; instead, they tended to show extreme resistance. Genetic analysis of progeny from the cross NIL-M × 03-336 indicated that a single dominant allele (designated SRCm1) controlled CMV resistance; analysis of sib-cross progeny populations derived from line 03–009 supported this conclusion. These results offer a valuable model for CMV resistance in spinach and will enhance future breeding programs.
Right-wing backing a meat tax? Experimental evidence from Denmark, Germany and the Netherlands.
Authors: Morren Meike , Banerjee Sanchayan 
Published: July 2024

Abstract

Meat consumption and the willingness to reduce it is closely linked to one's political ideology and convictions. Contrary to standard beliefs suggesting that left-leaning individuals are predisposed towards meat reduction policies, more than those in the center or right, we show these political divisions depend on the specifics of the policy and shouldn't be taken as the absolute norm. Using a conjoint experiment involving nationally representative samples from Denmark, Germany, and the Netherlands (N=1,505), we find no significant differences in support for a hypothetical meat tax policy among participants of varying political ideologies. Interestingly, after controlling for country fixed effects and covariates, we find that right-wing voters support the meat tax policy significantly more than left-wing voters. Specifically, a shift towards the ideological right is only associated with diminished support when the policy includes a direct or indirect revenue recycling mechanism, accounts for the negative impacts of meat production in its costs, and emphasises environmental concerns over health. Predicted policy support can be further explained by differing levels of Schwartz's human values. Based on our findings, we argue that the politicisation of meat should acknowledge these nuanced differences, as electoral support may not uniformly align across all domains.
2-hydroxy-1- naphthaldehyde based Colorimetric probe for the Simultaneous detection of bivalent Copper and Nickel in an aqueous media
Authors: JOSEPH ABRAHAM , Arshad Muhammed 
Published: July 2024

Abstract

A neoteric colorimetric probe based on 2-hydroxy-1-naphthaldehyde (PMB3) was designed and synthesized for the real-time as well as on-site naked-eye detection of bivalent copper and nickel in aqueous medium. Various physicochemical methods were employed to characterize the probe, and its colorimetric response to different metal ions was meticulously investigated. The probe, PMB3, exhibited a sensitive colorimetric response to Cu2+ and Ni2+ ions among other competing metal ions, culminating in a prominent colour change from colourless to yellow. The stoichiometry of the ligand metal complexes was ascertained to be in a 1:1 ratio using Job's plot analysis, which was further corroborated by ESI-MS data. With detection limits of 4.56µM for Cu2+ and 2.68µM for Ni2+, the method was effectively extended to real sample analysis, ensuring propitious results that closely aligned with the actual values.
Comparative Assessment of Scientific Structure in Biomass-based Hydrogen from a Cross-domain Perspective
Authors: Okuda Kunihiko , Sasaki Hajime 
Published: July 2024

Abstract

Biomass-based hydrogen production is an innovative approach to realize carbon-neutral energy solutions. Despite their promise, both structures differ in terms of the biomass energy domain, which is at the entry point of the technology, and the hydrogen energy domain, which is at the exit point of the technology. In this study, we conducted structural and predictive analyses by cross domain bibliometric analysis to clarify the differences in the structures and perspectives of researchers in cross domains and to suggest ways to strengthen collaboration to promote innovation. Our study reveals that the hydrogen energy domain has a balanced discussion on realizing a hydrogen society using biomass-based hydrogen production technology, while the biomass energy domain has a strong interest in the process of processing biomass. We find that changing perspectives in any academic domain presents a different structure. This comparative analysis reveals the importance of synergistic progress through interdisciplinary efforts. By filling these gaps, our findings contribute to a roadmap for future research and policy development in renewable energy and highlight the importance of a unified approach to sustainable hydrogen production.
Simple Thermodynamic Model of Thermostats for a Liquid into a Tank: an Analytical Approach
Authors: Romero Robert Paul Salazar , Deaza Felipe , Zamudio José , García Leonardo 
Published: July 2024

Abstract

In this manuscript, we propose a simplified mathematical model based on the heat transfer laws to predict the temperature profiles of a liquid controlled by a simple thermostat. The model result in a set of linear ordinary differential equations ODEs with forcing which turn on and off at a priori unknown times TM = {ζ0, ζ1, . . . , ζM}. The p-th switch-time ζp ∈ Tp is calculated from the zeros of a function Q(χ) = Q(χ; ζ1, . . . , ζp−1) coming from analytical solutions of the system depending on the previous times ζ1, . . . , ζp−1. The mathematical problem can be solved by using standard techniques for solving ODEs once TM is calculated by M-successive iterations of the conditional expression Q(χ = ζp) = 0 and the Newton-Raphson method. We provide analytical expressions for the temperature as a function of time and TM considering direct (DC) and alternate (AC) feeding voltages. We solve the system using this numerical-analytical approach and compare it with the results of the 4th Runge–Kutta method finding a good agreement between both methods.
Taxonomy of high-pressure vibration spectra of zincblende semiconductor alloys – The percolation model applied to Cd(1-x)Zn(x)Te
Authors: Alhaddad Toni , Shoker Mohamad , Pages Olivier , Polian Alain , Torres Vitor , Godec Yann Le , Itie Jean Paul , Bellin Christophe , Beneut Keevin , Diliberto Sebastien , Michel Stephanie , Marasek Agnieszka , Strzalkowski Karol 
Published: July 2024

Abstract

Due to their simple structure (two bond species randomly arranged on a cubic lattice), the zincblende A(1-x)B(x)C semiconductor alloys (zb-SCA) set a benchmark to explore how physical properties are impacted by disorder. A longstanding controversy was whether the lattice dynamics (phonons), governed by the bond force constant, i.e., a local physical property, is “blind” to the alloy disorder or actually “sees” it. Over the past two decades, we introduced the percolation model (PM) that distinguishes between like bonds depending on whether they vibrate in “same” or “alien” environments (1-bond→2-phonon scheme). The PM seems to apply universally among zb-SCA, and hence would solve the controversy in favor of the second scenario. Here our aim is to take one step forward and complete in the main lines a PM-based taxonomy of high-pressure vibration spectra of zb-SCA. This might clarify how a disordered atomic alloy, seen by each bond species in terms of a “same/alien” composite (i.e., at the unusual mesoscopic scale) from the angle of the PM, behaves when the lattice shrinks under hydrostatic pressure. We focus on Cd(1-x)Zn(x)Te as the last sensitive pending case. This tidying-up exercise is attractive at the fundamental level and useful for projecting phonon-based devices involving zb-SCA.
Confident protein datasets for liquid-liquid phase separation studies
Authors: Pintado-Grima Carlos , Bárcenas Oriol , Iglesias Valentín , Arribas-Ruiz Eva , Burdukiewicz Michał , Ventura Salvador 
Published: July 2024

Abstract

Background
Proteins self-organize in dynamic cellular environments by assembling into reversible biomolecular condensates through liquid-liquid phase separation (LLPS). These condensates can comprise single or multiple proteins, with different roles in the ensemble’s structural and functional integrity. Driver proteins form condensates autonomously, while client proteins just localize within them. Although several databases exist to catalog proteins undergoing LLPS, they often contain divergent data that impedes interoperability between these resources. Additionally, there is a lack of consensus on selecting proteins without explicit experimental association with condensates (non-LLPS proteins or negative data). These two aspects have prevented the generation of reliable predictive models and fair benchmarks.
Results
In this work, we used an integrated biocuration protocol to analyze information from all relevant LLPS databases and generate confident datasets of client and driver proteins. Besides, we introduce standardized negative datasets, encompassing both globular and disordered proteins. To validate our datasets, we investigated specific physicochemical traits related to LLPS across different subsets of protein sequences. We observed significant differences not only between positive and negative instances but also among LLPS proteins themselves. The datasets from this study are publicly available as a website at https://llpsdatasets.ppmclab.com and as a data repository at https://github.com/PPMC-lab/llps-datasets.
Conclusions
Our datasets offer a reliable means for confidently assessing the specific roles of proteins in LLPS and identifying key differences in physicochemical properties underlying this process. These high-confidence datasets are poised to train a new generation of multilabel models, build more standardized benchmarks, and mitigate sequential biases associated with the presence of intrinsically disordered regions.
Identification of promising therapeutic targets for nonischemic cardiomyopathy: integrated analysis based on multiomics
Authors: Shi Kaijia , Chen Xu , Zhao Yangyang , Chai Jinxuan , Qiu Jianmin , Shen Zhihua , Guo Junli , Jie Wei 
Published: July 2024

Abstract

Background
Nonischemic cardiomyopathy (NISCM) is a clinical challenge with limited therapeutic targets. This study aims to identify promising drug targets for NISCM.
Methods
We utilized cis-pQTLs from public databases and SNPs from the Finnish database. Mendelian randomization (MR) analysis was performed to estimate the causal relationship between circulating plasma protein levels and NISCM risk. Proteins with significant associations underwent false discovery rate (FDR) correction, followed by Bayesian colocalization analysis. The expression of top two proteins, LILRA5 and NELL1, was further analyzed using various NISCM datasets. Descriptions from the Human Protein Atlas (HPA) validated protein expression. The impact of environmental exposures on LILRA5 was assessed using the Comparative Toxicogenomics Database (CTD), and molecular docking identified the potential small molecule interactions.
Results
MR analysis identified 255 circulating plasma proteins associated with NISCM, with 16 remaining significant after FDR correction. Bayesian colocalization analysis identified LILRA5 and NELL1 as significant, with PP.H4 > 0.8. LILRA5 has a protective effect (OR = 0.758, 95% CI, 0.670–0.857) while NELL displays the risk effect (OR = 1.290, 95% CI,1.199–1.387) in NISCM. Decreased LILRA5 expression was found in NISCM such as diabetic, hypertrophic, dilated, and inflammatory cardiomyopathy, while NELL1 expression increased in hypertrophic cardiomyopathy. HPA data indicated high LILRA5 expression in neutrophils within normal heart and limited NELL1 expression. Immune infiltration analysis revealed decreased neutrophil in diabetic cardiomyopathy. CTD analysis identified sets of small molecules affecting LILRA5 expression, parts could stably bind with LILRA5.
Conclusion
LILRA5 and NELL1 are potential key therapeutic targets for NISCM, with LILRA5 showing particularly promising prospects in diabetic cardiomyopathy. Several small molecules interact with LILRA5, implying potential clinical implication.
Comparative genomic analysis and genome sequence of Halomonas salifodinae strain A2, isolated from the Zapotitlán Salinas Valley Puebla, México
Authors: León-Lemus Alberto , -García Martha Martínez , Cabirol Nathalie , Campos Jorge E. , Monsalvo-Reyes Alejandro 
Published: July 2024

Abstract

Here, we report the genome sequence of strain A2. The genome size was 3,855,926 bp, the GC content was 67.4%, and it contains 3509 genes, 62 tRNA, eight rRNA, and four snRNA. Phylogenetic analysis of the 16 S rRNA gene in the RDP, NCBI, and TYGS databases indicates that strain A2 belongs to Halomonas salifodinae. Also, MLSA analysis confirms that A2 is closely related to H. salifodinae. Phylogenomic and comparative genomic analysis using the ANIs and dDDH indicators classify H. salifodinae A2 and Bisbaumannia pacifica NBRC 102220 in a separate phylogenetic group of the genus Halomonas. The phylogenomic and pangenome analysis support the above, placing H. salifodinae A2 in a separate group with B. pacifica NBRC 102220. The pangenomic analysis shows 136,122 genes that comprise the pangenome with 317 core genes, 3457 shell genes, 132,332 accessory genome, and 691 unique genes. We found 29 genes for secretion systems in the genome analysis, 23 for Na + and K + ion transport, 6 BGC groups, a total of 12 genomic islands, an 8.2Kb gene prophage region, 15 regions associated with CRISPR and one CAS-TypeIF cas gene cluster region, 12 genes of biotechnological importance, 38 unique genes essential for adaptability and biotechnological relevance, as well as, 35 genes for the synthesis of compatible solutes. Furthermore, we propose the reclassification of the species within the genus Bisbaumannia.
Effect of process variable on production of thermoplastic vulcanizates based on SEBS/PP/LLDPE via reactive extrusion
Authors: Dana Mehri , Nabid Mohammad Reza , Zohuri Gholam Hossein , Shahidi Saeid Asadi , Yazdanbakhsh Sohail 
Published: July 2024

Abstract

Properties of thermoplastic vulcanizates (TPVs) depend on their microstructure. Processing conditions including shear rate, processing temperature and shearing time can affect the final microstructure of TPVs. Morphological study of resultant TPVs was carried out using a scanning electron microscope (SEM). The object of this study is to investigate the effect of temperature (210–230°C, 170–190°C, 150–170°C and 140–160°C) and speed of production process on the properties of TPV based on poly(styrene-b-(ethylene-co-butylene)-b styrene) triblock copolymer (SEBS)/polypropylene (PP)/linear low-density polyethylene (LLDPE) prepared via reactive extrusion. Melt flow index (MFI) of the prepared samples was sharply decreased (from 24.4 to 2.63 g/10 min at 190°C, 10 kg) with decreasing temperature (from 210–230°C to 170–190°C). However, hardness of the prepared TPVs was increased to a limiting value (80 shore A) with decreasing the process temperature. Compression set sharply decreased (from 70–49% at 120°C, 70 h) and it has reached to a limiting value (46%). The process temperature, however, is not significantly affected on the tensile strength and tensile strength at 20% extension of the TPV. The elongation has the lowest value in 170–190°C. Result of elongation at break after aging was improved (from 12.2–3.3%) with decreasing process temperature (from 140–160°C to 210–230°C). The lowest value of tensile strength (4.1%) was obtained in 170–190°C after aging. Due to the increase in speeds of the twin screw extruder (180 to 250 rpm, in 140–160°C) surface quality was suitable and smooth. Also TPV samples were prepared by either one-step or two-step reactors using the extruder system and the results were compared. In the one-step method, a pronounced higher value in elongation at break (897%) and MFI (6.8 g/10 min at 190°C, 10 kg) were observed. It was found that the results of heat aging were improved using the two-step process. The two-step process led to higher tensile stress at 20% extension (from 2.7 to 3.3 MPa), too. In addition, a comprehensive experimental study was carried out to achieve the optimal process conditions for the production of TPVs using the two-step process. In one method (method A), the curing agent was added in the first step of the production. Other components such as PP, antioxidant, which may interfere with the peroxide curing were mixed in the second step of the process. In another method (method B), thermoplastic elastomer (TPE) was produced in the first step, and then curing agent was added in the second step of the productions. The TPV then was prepared in the second step of the process. Generally, the results show that the properties of the prepared TPV with the method B are superior to the method A.
High-quality quad-mesh generation for self-intersecting parametric surfaces
Authors: Nan Haolei , Xu Gang , Wu Haiyan , Gu Renshu , Xu Jinlan , Liu Yang 
Published: July 2024

Abstract

We propose a method for the high-quality quadrangulation of an input self-intersecting parametric surface. We first compute the algebraic representation of self-intersecting curves and cusp curves of the surface by the moving plane method. Sampling points are then generated on the singular curves and the boundary over the parameter domain. In order to ensure the correctness of mesh intersection topology, we compute feature points and the pair-points of the curve sampling points, which are fixed strictly throughout our method. A triangle mesh is generated over the domain with the singular curves as constraint lines, which is the input of quadrilateral mesh generation. We compute a cross-field aligned with the feature lines and construct a coarse layout of quad patches relying on the cross-field. As T-junctions are allowed in the layout, we solve an Integer Linear Program (ILP) problem to determine the number of edges, thereby ensuring that the generated mesh is conforming. Feature lines are preserved perfectly throughout the pipeline by imposing constraints. In conclusion, our method guarantees the neighborhood coordination of mesh intersections, while still producing high-quality quadrilateral meshes.
Extensive, reversible, and Controllable Reduction in Friction of Atomically Thin Two-Dimensional Materials through High-Stress Pre-Rubbing
Authors: Peng Yitian , Haoyang Su , Honglin Zhang , Lang Haojie , Zou Kun , Sun Junhui 
Published: July 2024

Abstract

Great efforts have been made to further reduce the friction on atomically thin Two-dimensional (2D) materials as solid lubricants due to their exceptional tribological properties and mechanical strength. In this work, the friction of atomically thin graphene has been extensively and controllably reduced through pre-rubbing under high stress, resulting in a reduction of the friction coefficient by up to a factor of six compared to the pristine graphene. Also, this reduction can be reversed by reciprocating friction under moderate stress. Furthermore, high-stress pre-rubbing allows for patterning intentional lubricating features on atomically thin graphene, such as nanometer-sized letters. This reduction in friction is attributed to a decrease in the maximum sliding potential barrier, induced by enhanced interactions between graphene and the substrate due to charge transfer at the interface undergoing high stress, as revealed by density functional theory (DFT) calculations. These findings present a practical methodology for optimizing and controlling the performance of atomically thin 2D materials, with significant implications for applications in engineering and nanofabrication, and even in information storage.
Effect of temperature on total lipid content and fatty acid composition in six strains of Chrysophyta
Authors: Shen Shichang , Peng Ruibing , Jiang Xiamin 
Published: July 2024

Abstract

To determine the suitable temperature of and total lipid content and fatty acid composition in six strains of Chrysophyta and provide a scientific basis for its comprehensive utilization and development. The effects of temperatures on the growth were studied and their total lipid content and fatty acid composition were analyzed. The results showed that the most suitable growth temperature range of I. galbana (Tahitianstrain) H29 was 25 ~ 30 ℃, I. galbana 3011 was 25 ~ 30 ℃, I. galbana 3010 and I. zhanjiangensis were 25 ~ 35 ℃, I. galbana 8701 was 15 ℃, and I. galbana (daxidi) was 20 ~ 25 ℃. There were significant differences in total lipids and fatty acids contents in six strains of Chrysophyta. The contents of total lipids in the six strains of Chrysophyta were 17.47%~29.73%. Seventeen kinds of fatty acids were detected in six Chrysophyta, PUFAs accounted for 34.64%~57.03% of the total fatty acids. DHA accounted for 12.96 ~ 21.54%.
Misinformation in Conversations about Ticks and Tick-borne Disease in Public Facebook Groups
Authors: McDonald Kaitlin M. , Warzecha Haley , McDonald Emily M. , May Maxwell Le , Cottingham Kathryn L. 
Published: July 2024

Abstract

Background
Health-related misinformation on social media can negatively impact public health outcomes. Effective interventions to combat misinformation require an understanding of the underlying topics and their associated misperceptions. Ticks and the pathogens they carry are increasing worldwide, raising concerns about the disease burden these pathogens cause. Our goal is to identify prevalent misconceptions about ticks and tick-borne diseases to inform and restructure public health education efforts, thereby reducing the health burden related to tick-borne diseases.
Methods
We collected public Facebook posts and comments during summer 2021 and used summative content analysis to characterize misinformation themes. In total, 170 posts and 2483 comments were analyzed.
Results
A total of 30 posts (17% of the total) contained misinformation, the majority of which (78%) occurred in the context of tick biology and ecology and 5% and 4% were about repelling and removing ticks, respectively.
Conclusions
These findings suggest that public health education campaigns should focus on dispelling common misperceptions related to tick biology, ecology, and species identification.