bluuebunny/crossref_metadata_2025_split huggingface dataset:
The draft genome sequence of the Japanese rhinoceros beetle Trypoxylus dichotomus septentrionalis towards an understanding of horn formation
Authors: Morita Shinichi , Shibata Tomoko F. , Nishiyama Tomoaki , Kobayashi Yuuki , Yamaguchi Katsushi , Toga Kouhei , Ohde Takahiro , Gotoh Hiroki , Kojima Takaaki , Weber Jesse N. , Salvemini Marco , Bino Takahiro , Mase Mutsuki , Nakata Moe , Mori Tomoko , Mori Shogo , Cornette Richard , Sakura Kazuki , Lavine Laura C. , Emlen Douglas J. , Niimi Teruyuki , Shigenobu Shuji 
Published: May 2023

AbstractThe Japanese rhinoceros beetle Trypoxylus dichotomus is a giant beetle with distinctive exaggerated horns present on the head and prothoracic regions of the male. T. dichotomus has been used as a research model in various fields such as evolutionary developmental biology, ecology, ethology, biomimetics, and drug discovery. In this study, de novo assembly of 615 Mb, representing 80% of the genome estimated by flow cytometry, was obtained using the 10 × Chromium platform. The scaffold N50 length of the genome assembly was 8.02 Mb, with repetitive elements predicted to comprise 49.5% of the assembly. In total, 23,987 protein-coding genes were predicted in the genome. In addition, de novo assembly of the mitochondrial genome yielded a contig of 20,217 bp. We also analyzed the transcriptome by generating 16 RNA-seq libraries from a variety of tissues of both sexes and developmental stages, which allowed us to identify 13 co-expressed gene modules. We focused on the genes related to horn formation and obtained new insights into the evolution of the gene repertoire and sexual dimorphism as exemplified by the sex-specific splicing pattern of the doublesex gene. This genomic information will be an excellent resource for further functional and evolutionary analyses, including the evolutionary origin and genetic regulation of beetle horns and the molecular mechanisms underlying sexual dimorphism.
Forty thousand kilometers under quantum protection
Authors: Kirsanov N. S. , Pastushenko V. A. , Kodukhov A. D. , Yarovikov M. V. , Sagingalieva A. B. , Kronberg D. A. , Pflitsch M. , Vinokur V. M. 
Published: May 2023

AbstractQuantum key distribution (QKD) is a revolutionary cryptography response to the rapidly growing cyberattacks threat posed by quantum computing. Yet, the roadblock limiting the vast expanse of secure quantum communication is the exponential decay of the transmitted quantum signal with the distance. Today’s quantum cryptography is trying to solve this problem by focusing on quantum repeaters. However, efficient and secure quantum repetition at sufficient distances is still far beyond modern technology. Here, we shift the paradigm and build the long-distance security of the QKD upon the quantum foundations of the Second Law of Thermodynamics and end-to-end physical oversight over the transmitted optical quantum states. Our approach enables us to realize quantum states’ repetition by optical amplifiers keeping states’ wave properties and phase coherence. The unprecedented secure distance range attainable through our approach opens the door for the development of scalable quantum-resistant communication networks of the future.
Cardiovascular characterisation of a novel mouse model that combines hypertension and diabetes co-morbidities
Authors: Sharma Arpeeta , Choi Judy S. Y. , Watson Anna M. D. , Li Leila , Sonntag Thomas , Lee Man K. S. , Murphy Andrew J. , De Blasio Miles , Head Geoffrey A. , Ritchie Rebecca H. , de Haan Judy B. 
Published: May 2023

AbstractEpidemiologic data suggest that the prevalence of hypertension in patients with diabetes mellitus is ∼1.5–2.0 times greater than in matched non-diabetic patients. This co-existent disease burden exacerbates cardiac and vascular injury, leading to structural and functional changes to the myocardium, impaired cardiac function and heart failure. Oxidative stress and persistent low-grade inflammation underlie both conditions, and are identified as major contributors to pathological cardiac remodelling. There is an urgent need for effective therapies that specifically target oxidative stress and inflammation to protect against cardiac remodelling. Animal models are a valuable tool for testing emerging therapeutics, however, there is a notable lack of appropriate animal models of co-morbid diabetes and hypertension. In this study, we describe a novel preclinical mouse model combining diabetes and hypertension to investigate cardiac and vascular pathology of co-morbid disease. Type 1 diabetes was induced in spontaneously hypertensive, 8-week old, male Schlager (BPH/2) mice via 5 consecutive, daily injections of streptozotocin (55 mg/kg in citrate buffer; i.p.). Non-diabetic mice received citrate buffer only. After 10 weeks of diabetes induction, cardiac function was assessed by echocardiography prior to post-mortem evaluation of cardiomyocyte hypertrophy, interstitial fibrosis and inflammation by histology, RT-PCR and flow cytometry. We focussed on the oxidative and inflammatory stress pathways that contribute to cardiovascular remodelling. In particular, we demonstrate that markers of inflammation (monocyte chemoattractant protein; MCP-1), oxidative stress (urinary 8-isoprostanes) and fibrosis (connective tissue growth factor; CTGF) are significantly increased, whilst diastolic dysfunction, as indicated by prolonged isovolumic relaxation time (IVRT), is elevated in this diabetic and hypertensive mouse model. In summary, this pre-clinical mouse model provides researchers with a tool to test therapeutic strategies unique to co-morbid diabetes and hypertension, thereby facilitating the emergence of novel therapeutics to combat the cardiovascular consequences of these debilitating co-morbidities.
An interaction and feedback mechanism-based group decision-making for emergency medical supplies supplier selection using T-spherical fuzzy information
Authors: Gurmani Shahid Hussain , Zhang Zhao , Zulqarnain Rana Muhammad , Askar Sameh 
Published: May 2023

AbstractSelecting a supplier for emergency medical supplies during disasters can be considered a typical multiple attribute group decision-making (MAGDM) problem. MAGDM is an intriguing common problem that is rife with ambiguity and uncertainty. It becomes much more challenging when governments and medical care enterprises adjust their priorities in response to the escalating problems and the effectiveness of the actions taken in different countries. As decision-making problems become increasingly complicated nowadays, a growing number of experts are likely to use T-spherical fuzzy sets (T-SFSs) rather than exact numbers. T-SFS is a novel extension of fuzzy sets that can fully convey ambiguous and complicated information in MAGDM. The objective of this paper is to propose a MAGDM methodology based on interaction and feedback mechanism (IFM) and T-SFS theory. In it, we first introduce T-SF partitioned Bonferroni mean (T-SFPBM) and T-SF weighted partitioned Bonferroni mean (T-SFWPBM) operators to fuse the evaluation information provided by experts. Then, an IFM is designed to achieve a consensus between multiple experts. In the meantime, we also find the weights of experts by using T-SF information. Furthermore, in light of the combination of IFM and T-SFWPBM operator, an MAGDM algorithm is designed. Finally, an example of supplier selection for emergency medical supplies is provided to demonstrate the viability of the suggested approach. The influence of parameters on decision results and comparative analysis with the existing methods confirmed the reliability and accuracy of the suggested approach.
Transcriptional analysis reveals that the intracellular lipid accumulation impairs gene expression profiles involved in insulin response-associated cardiac functionality
Authors: Actis Dato Virginia , Paz María C. , Rey Federico E. , Sánchez María C. , Llorente-Cortés Vicenta , Chiabrando Gustavo A. , Ceschin Danilo G. 
Published: May 2023

AbstractCardiovascular disease (CVD) is a multisystemic and multicellular pathology that is generally associated with high levels of atherogenic lipoproteins in circulation. These lipoproteins tend to be retained and modified, for example, aggregated low-density lipoprotein (aggLDL), in the extracellular matrix of different tissues, such as the vascular wall and heart. The uptake of aggLDL generates a significant increase in cholesteryl ester (CE) in these tissues. We previously found that the accumulation of CE generates alterations in the insulin response in the heart. Although the insulin response is mainly associated with the uptake and metabolism of glucose, other studies have shown that insulin would fulfill functions in this tissue, such as regulating the calcium cycle and cardiac contractility. Here, we found that aggLDL induced-lipid accumulation altered the gene expression profile involved in processes essential for cardiac functionality, including insulin response and glucose uptake (Insr, Ins1, Pik3ip1, Slc2a4 gene expression), calcium cycle (Cacna1s and Gjc2 gene expression) and calcium-dependent cardiac contractility (Myh3), and cholesterol efflux (Abca1), in HL-1 cardiomyocytes. These observations were recapitulated using an in vivo model of hypercholesterolemic ApoE-KO mice. Altogether, these results may explain the deleterious effect of lipid accumulation in the myocardium, with important implications for lipid-overloaded associated CVD, including impaired insulin response, disrupted lipid metabolism, altered cardiac structure, and increased susceptibility to cardiovascular events.
Investigation of variables affecting the immunogenicity of blood group antigens using a calculation formula
Authors: Chung Yousun , Kim Han Joo , Kim Hyungsuk , Hwang Sang-Hyun , Oh Heung-Bum , Ko Dae-Hyun 
Published: May 2023

AbstractPrevious studies on the immunogenicity of blood group antigens have utilized a formula incorporating antigen frequencies and relative frequencies of unexpected antibodies to the corresponding antigens. This study was aimed at investigating other variables potentially affecting the estimation of immunogenicity using this formula. We examined the effect of multiple transfusions, as there are more chance for a recipient to receive repeated transfusions rather than only once; the effect of antigen density, which may vary depending on homozygote/heterozygote; and the effect of unreliability of the observed frequency of rare antibodies and antigens. For multiple transfusions, the expected antibody frequency increased as the number of transfusions increased. For antigen density, the immunogenicity was falsely low for the low-prevalence antigen, and this tendency intensified as the effect of antigen density increased. Expected antibody frequencies were significantly affected by the uncertainties caused by estimation of small numbers. This study showed that the effects of various factors on the immunogenicity of blood group antigens depended on the antigen frequency. Estimating the immunogenicity of blood group antigens requires acknowledging the diverse factors that can affect it and interpreting the findings with caution.
Atmospheric aerosol size distribution impacts radiative effects over the Himalayas via modulating aerosol single-scattering albedo
Authors: Tian Pengfei , Yu Zeren , Cui Chen , Huang Jianping , Kang Chenliang , Shi Jinsen , Cao Xianjie , Zhang Lei 
Published: May 2023

AbstractThe single-scattering albedo (SSA) of atmospheric aerosols is a key parameter that controls aerosol radiative effects. The variation of SSA is thought to be mainly regulated by aerosol absorption in the Himalayas and South Asia, but observations contradict this idea. In situ field campaigns conducted over two Himalayan sites revealed that SSA was strongly dependent on scattering but weakly correlated with absorption. Observational results combined with the Mie theory further illustrated that SSA was primarily modulated by size distribution rather than absorption. Aerosol Robotic Network (AERONET) data showed similar impacts of size distribution on SSA and that aerosol radiative forcing efficiencies were significantly dependent on SSA. Aerosol size distribution therefore considerably affects radiative forcing by modulating aerosol SSA over the Himalayas. This study highlighted the influence of aerosol size distribution on radiative forcing over the Himalayas, which has important implications for understanding aerosol radiative effects globally.
Future climate change will increase risk to mangrove health in Northern Australia
Authors: Chung Christine T. Y. , Hope Pandora , Hutley Lindsay B. , Brown Josephine , Duke Norman C. 
Published: May 2023

AbstractMangroves of the wet-dry tropical Gulf of Carpentaria, Australia, survive in a harsh environment. One of the worst recorded mangrove dieback events occurred during the El Niño of 2015 following an extreme, two-year sea level drop, illustrating that enhanced climate variability can exacerbate major stressors for these ecosystems. As well as sea level variability, maximum daily temperatures in the Gulf of Carpentaria are also linked to climate variability and change, and may play an important role in overall mangrove health. Here we address how these two factors: sea level variability and maximum daily temperatures, are projected to change under several future emissions scenarios. Climate projections from the sixth generation of Coupled Model Intercomparison Project indicate an increased occurrence of anomalously low and high sea level events in the coming century. This, alongside enhanced temperature stress, is likely to significantly increase risk to mangrove health in this region. The rate of increase of low and high sea level events, and high temperature events, is scenario-dependent, and is largest for a high-emissions scenario.
Rapid digital pathology of H&E-stained fresh human brain specimens as an alternative to frozen biopsy
Authors: Borah Bhaskar Jyoti , Tseng Yao-Chen , Wang Kuo-Chuan , Wang Huan-Chih , Huang Hsin-Yi , Chang Koping , Lin Jhih Rong , Liao Yi-Hua , Sun Chi-Kuang 
Published: May 2023

Abstract
Background
Hematoxylin and Eosin (H&E)-based frozen section (FS) pathology is presently the global standard for intraoperative tumor assessment (ITA). Preparation of frozen section is labor intensive, which might consume up-to 30 minutes, and is susceptible to freezing artifacts. An FS-alternative technique is thus necessary, which is sectioning-free, artifact-free, fast, accurate, and reliably deployable without machine learning and/or additional interpretation training.

Methods
We develop a training-free true-H&E Rapid Fresh digital-Pathology (the-RFP) technique which is 4 times faster than the conventional preparation of frozen sections. The-RFP is assisted by a mesoscale Nonlinear Optical Gigascope (mNLOG) platform with a streamlined rapid artifact-compensated 2D large-field mosaic-stitching (rac2D-LMS) approach. A sub-6-minute True-H&E Rapid whole-mount-Soft-Tissue Staining (the-RSTS) protocol is introduced for soft/frangible fresh brain specimens. The mNLOG platform utilizes third harmonic generation (THG) and two-photon excitation fluorescence (TPEF) signals from H and E dyes, respectively, to yield the-RFP images.

Results
We demonstrate the-RFP technique on fresh excised human brain specimens. The-RFP enables optically-sectioned high-resolution 2D scanning and digital display of a 1 cm2 area in <120 seconds with 3.6 Gigapixels at a sustained effective throughput of >700 M bits/sec, with zero post-acquisition data/image processing. Training-free blind tests considering 50 normal and tumor-specific brain specimens obtained from 8 participants reveal 100% match to the respective formalin-fixed paraffin-embedded (FFPE)-biopsy outcomes.

Conclusions
We provide a digital ITA solution: the-RFP, which is potentially a fast and reliable alternative to FS-pathology. With H&E-compatibility, the-RFP eliminates color- and morphology-specific additional interpretation training for a pathologist, and the-RFP-assessed specimen can reliably undergo FFPE-biopsy confirmation.
Sketch face recognition based on light semantic Transformer network
Authors: Cao Lin , Yin Jianqiang , Guo Yanan , Du Kangning , Zhang Fan 
Published: May 2023

AbstractSketch face recognition has a wide range of applications in criminal investigation, but it remains a challenging task due to the small‐scale sample and the semantic deficiencies caused by cross‐modality differences. The authors propose a light semantic Transformer network to extract and model the semantic information of cross‐modality images. First, the authors employ a meta‐learning training strategy to obtain task‐related training samples to solve the small sample problem. Then to solve the contradiction between the high complexity of the Transformer and the small sample problem of sketch face recognition, the authors build the light semantic transformer network by proposing a hierarchical group linear transformation and introducing parameter sharing, which can extract highly discriminative semantic features on small–scale datasets. Finally, the authors propose a domain‐adaptive focal loss to reduce the cross‐modality differences between sketches and photos and improve the training effect of the light semantic Transformer network. Extensive experiments have shown that the features extracted by the proposed method have significant discriminative effects. The authors’ method improves the recognition rate by 7.6% on the UoM‐SGFSv2 dataset, and the recognition rate reaches 92.59% on the CUFSF dataset.
Toward the Total Synthesis of Schinortriterpenoids: Construction of the All-cis-Substituted Cyclopropane Unit
Authors: Tsukano Chihiro , Yagita Ryotaro , Irie Kazuhiro 
Published: May 2023

AbstractAs a step toward a total synthesis of pre-schisanartanins and arisanlactones, we successfully synthesized a right fragment of Schisandra nortriterpenoids bearing a distorting all-cis-substituted cyclopropane from a chiral lactone. The key step in this synthesis was the diastereoselective construction of an all-cis-substituted cyclopropane through a Negishi coupling using an amide as a directing group.
Depression, Anxiety, and Stress with and without COVID-19 Infection
Authors: Sinha Snigdha , Jose K Alphonsa , Baboo Smitha 
Published: May 2023

Abstract
Objectives Coronavirus disease 2019 (COVID-19) affects the respiratory system predominantly. However, post-COVID recovery, many manifested neurological and psychological symptoms, unrelated to the respiratory system. We aimed to estimate psychological impairment in individuals who were infected with COVID-19 in comparison with two uninfected control groups, and between different age cohorts.
Materials and Methods We compared three groups with respect to COVID-19—those infected, those not infected but witness to someone infected, and those neither infected nor witness to anyone infected, along with age cohort comparison. The standard Depression, Anxiety and Stress Scale - 42 items (DASS 42) questionnaire, with additional questions were answered by 301 participants.
Statistical Analysis SPSS was used for analyses, with Mann–Whitney U test, Kruskal–Wallis test, and Tukey's post hoc test.
Results Significantly higher levels of depression, anxiety, and stress were found in the infected group than in the uninfected groups, and significant difference was found between the older age cohorts (50 and above) of each group. The percentages of the infected group with severe to very severe depression, anxiety, and stress were higher than the other groups.
Conclusion There is greater psychological impairment in individuals post-COVID recovery, and there is higher impairment in the older age cohort that is recovered, compared to controls.
Mapping the field of cultural evolutionary theory and methods in archaeology using bibliometric methods
Authors: Matzig David N. , Schmid Clemens , Riede Felix 
Published: May 2023

AbstractBibliometrics offers powerful means of visualising and understanding trends within research domains. We here present a first exploratory bibliometric analysis of cultural evolutionary theory and attendant methods as applied specifically within archaeology across the last four decades (1981–2021). Bibliographic coupling network analysis shows that there exists a broadly successive series of author clusters making up the core of this research domain. A broader vernacular version of cultural evolution is also commonly used in thematic or regional research traditions that fall outside of cultural evolutionary studies in the strict sense. Our bibliometric networks trace the development of evolutionary archaeology over the last four decades and while they demonstrate the centrality of computational models, they also suggest a stagnation in the application of precisely that suite of methods—phylogenetics—that is central to evolutionary archaeology’s biological counterpart palaeontology. Recent methodological innovations in palaeobiology are, however, offering new ways of integrating artefact shape data directly with phylogenetic applications. This development may usher in a renaissance in artefact phylogenetics and appropriately marco-scale applications of cultural evolutionary theory in archaeology.
Internet use, market transformation, and individual tolerance: Evidence from China
Authors: Zhang Yunliang , Chen Xueli , Shen Zhiyang 
Published: May 2023

AbstractEarlier literature studies the relationship between Internet use and individual tolerance, but little research explores these links in the context of China. This article analyzes the impact of Internet use on individuals’ tolerance using Chinese national social survey data from 2015 to 2021. The results find that Internet use has a significant positive effect on individual social tolerance (ST) and moral tolerance (MT), and this effect is still valid after dealing with the endogenous problem by instrumental variables and the propensity score matching method. Moreover, the division of university education, unit system, and Hukou moderate the relationship between Internet use and individual social tolerance. Last, opportunity fairness and outcome fairness play the suppressing effects, not mediating effects. This article clarifies the role of digital technology in the development of high-quality economics and proposes that the government should pay more attention to changes in social attitudes.
P2P lending: Moderation of desirability of control on risk-taking decisions of Indonesian borrowers
Authors: Isaputra Samuel Adiprasetya , Sumaryono  
Published: May 2023

AbstractThe number of users of peer-to-peer (P2P) lending applications in Indonesia continues to grow rapidly even though it is followed by increased cases of alleged criminal violations in the financial sector. Users continue to use these financial technologies despite being aware of the high risks and potential negative consequences they may receive. Meanwhile, the results of previous research in the context of financial technology show that the higher the risk perceived by users, the more discouraged they are from using financial technology. In addition, the number of studies that discuss decision-making at the user group level is still limited. Tests using the structural equation model (SEM) method showed that the desirability of control moderates the negative effect of perceived risk on P2P lending usage intention. The desirability of control is proven to weaken the effect of perceived risk on the intention to use P2P lending. As a result, borrowers with high desirability of control tend to ignore the high risk of using online lending providers so they will continue to take these actions. Meanwhile, borrowers with low desirability of control try to maintain their control by avoiding the use of P2P lending. In addition, the Bollen–Stine bootstrap procedure also showed that the model meets the goodness of fit even though the data was not normally distributed in multivariate analysis. The results of this study also imply that the government needs to formulate regulations to tighten lending procedures to minimize the potential for defaults on debt that harm the community and online lending providers.