bluuebunny/crossref_metadata_2025_split huggingface dataset:
Syrians' awareness of cardiovascular disease risk factors and warning indicators: a descriptive cross-sectional study
Authors: Swed Sarya , Alibrahim Hidar , Bohsas Haidara , Hafez Wael , Rais Mohammed Amir , Shoib Sheikh , Albazee Ebraheem , Elsayed Mohamed E. G. , Sawaf Bisher , Farwati Amr , Seijari Mohammed Najdat , Battikh Naim , Shaheen Nour , Ibrahem Nafeth , Alsaleh Ahmad , Lee Ka Yiu , Rakab Amine 
Published: April 2023

AbstractThe awareness of cardiovascular diseases (CVDs) contributes to the complications and fatality rates from these diseases among individuals; however, no previous study in Syria was conducted on this topic; thus, this study aims to assess Syrians' awareness of CVDs warning symptoms and risk factors. This online cross-sectional study was performed in Syria between the 1st and 25th of August 2022. The inclusion criteria for the sample were citizens of Syria over 18 who currently reside in Syria. The questionnaire included open- and closed-ended questions to assess the awareness of CVDs. A total of 1201 participants enrolled in the study with a response rate of 97.2%; more than half of the participants (61.4%) were aged 18–24. The most recognizable risk factors and warning signs when asking close-ended and open-ended questions were smoking (95.2%, 37.1%) and chest pain (87.8%, 24.8%), respectively. Overall knowledge scores for risk factors and warning signs were (61.5%). Regarding knowledge score of CVDs risk factors and warning signs, participants aged 45–54 scored higher than other age groups, and respondents with a university education level had a higher score than other educational levels (15.7 ± 0.3), (14.5 ± 0.1), respectively. Participants aged 45–54 have a higher probability of good knowledge of CVDs risk factors and warning signs than participants aged 18–24 (OR = 4.8, P value < 0.001), while participants living in the countryside were less likely to have good knowledge of CVDs risk factors and warning signs than city residents (OR = 0.6, P value < 0.05). According to our results, there is inadequate knowledge of the risk factors and warning signs of CVDs. Consequently, there is a greater need to raise CVD awareness and learning initiatives on the disease's risk factors and symptoms.
Evaluation of volatile compound profiles and sensory properties of dark and pale beers fermented by different strains of brewing yeast
Authors: Paszkot Justyna , Gasiński Alan , Kawa-Rygielska Joanna 
Published: April 2023

AbstractTo evaluate the differences in the volatile compound profile of dark and pale beers fermented by different strains of brewer's yeast, gas chromatography with flame ionization detection and gas chromatography mass spectrometry analysis of eight beers was carried out. The prevalent group of compounds in all the beers analysed were alcohols (56.41–72.17%), followed by esters (14.58–20.82%), aldehydes (8.35–20.52%), terpenes and terpenoids (1.22–6.57%) and ketones (0.42–1.00%). The dominant higher alcohols were 2-methylpropan-1-ol, 3-methylbutanol, phenethyl alcohol, among aldehydes furfural, decanal, nonanal, and among esters ethyl acetate, phenylethyl acetate and isoamyl acetate. Beers fermented by the top-fermenting yeast Saccharomyces cerevisiae var. diastaticus had the highest volatile content. The addition of dark malt in wort production process had no effect on the total content of volatiles, but for some beers it caused changes in the total content of esters, terpenes and terpenoids. Variations in the total volatile content between beers fermented by different yeast strains are mainly due to esters and alcohols identified. Sensory analysis of beers allowed us to identify the characteristics affected by the addition of dark speciality malts in the production of wort and yeast strains used in the fermentation process.
A novel medical image segmentation approach by using multi-branch segmentation network based on local and global information synchronous learning
Authors: Jin Shangzhu , Yu Sheng , Peng Jun , Wang Hongyi , Zhao Yan 
Published: April 2023

AbstractIn recent years, there have been several solutions to medical image segmentation, such as U-shaped structure, transformer-based network, and multi-scale feature learning method. However, their network parameters and real-time performance are often neglected and cannot segment boundary regions well. The main reason is that such networks have deep encoders, a large number of channels, and excessive attention to local information rather than global information, which is crucial to the accuracy of image segmentation. Therefore, we propose a novel multi-branch medical image segmentation network MBSNet. We first design two branches using a parallel residual mixer (PRM) module and dilate convolution block to capture the local and global information of the image. At the same time, a SE-Block and a new spatial attention module enhance the output features. Considering the different output features of the two branches, we adopt a cross-fusion method to effectively combine and complement the features between different layers. MBSNet was tested on five datasets ISIC2018, Kvasir, BUSI, COVID-19, and LGG. The combined results show that MBSNet is lighter, faster, and more accurate. Specifically, for a $$320 \times 320$$

320
×
320

input, MBSNet’s FLOPs is 10.68G, with an F1-Score of $$85.29\%$$

85.29
%

on the Kvasir test dataset, well above $$78.73\%$$

78.73
%

for UNet++ with FLOPs of 216.55G. We also use the multi-criteria decision making method TOPSIS based on F1-Score, IOU and Geometric-Mean (G-mean) for overall analysis. The proposed MBSNet model performs better than other competitive methods. Code is available at https://github.com/YuLionel/MBSNet.
An unbiased AAV-STARR-seq screen revealing the enhancer activity map of genomic regions in the mouse brain in vivo
Authors: Chan Ya-Chien , Kienle Eike , Oti Martin , Di Liddo Antonella , Mendez-Lago Maria , Aschauer Dominik F. , Peter Manuel , Pagani Michaela , Arnold Cosmas , Vonderheit Andreas , Schön Christian , Kreuz Sebastian , Stark Alexander , Rumpel Simon 
Published: April 2023

AbstractEnhancers are important cis-regulatory elements controlling cell-type specific expression patterns of genes. Furthermore, combinations of enhancers and minimal promoters are utilized to construct small, artificial promoters for gene delivery vectors. Large-scale functional screening methodology to construct genomic maps of enhancer activities has been successfully established in cultured cell lines, however, not yet applied to terminally differentiated cells and tissues in a living animal. Here, we transposed the Self-Transcribing Active Regulatory Region Sequencing (STARR-seq) technique to the mouse brain using adeno-associated-viruses (AAV) for the delivery of a highly complex screening library tiling entire genomic regions and covering in total 3 Mb of the mouse genome. We identified 483 sequences with enhancer activity, including sequences that were not predicted by DNA accessibility or histone marks. Characterizing the expression patterns of fluorescent reporters controlled by nine candidate sequences, we observed differential expression patterns also in sparse cell types. Together, our study provides an entry point for the unbiased study of enhancer activities in organisms during health and disease.
Rituximab treatment of adults with primary focal segmental glomerulosclerosis
Authors: Wang Liuwei , Yu Lu , Wang Yulin , Guo Yanhong , Zhai Zihan , Tang Lin 
Published: April 2023

AbstractTo evaluate the efficacy and safety of rituximab (RTX) in the treatment of primary focal segmental glomerulosclerosis (FSGS) in adults. The clinical data of patients with primary FSGS who received RTX treatment in the First Affiliated Hospital of Zhengzhou University were analyzed retrospectively. The selected patients received RTX twice or four times, with a single dose of 375 mg/m2, and the interval between two times of administration of RTX was 2–4 weeks. The treatment target is to achieve the clearance of B cells (peripheral blood B cell count < 5/μl). The primary outcome measures were remission and recurrence of renal disease, and the secondary outcome measures were adverse events and renal outcomes. A total of 14 FSGS patients were included, including 12 males, 9 with glucocorticoid-dependent or frequently relapsing nephrotic syndrome, and 3 with newly diagnosed nephrotic syndrome. After RTX treatment, 7 patients with glucocorticoid-dependent/recurrent nephrotic syndrome were completely relieved. At 6 months of follow-up, glucocorticoids were discontinued in all patients except 1 patient. The other 5 patients achieved partial remission (PR), of which 1 patient relapsed after PR, and 1 initial patient achieved complete remission. One patient progressed to end-stage renal disease (ESRD) after 4 months of follow-up. RTX in the treatment of adult glucocorticoid-dependent/relapsing FSGS can reduce the risk of recurrence and help to decline or discontinue the use of glucocorticoid and immunosuppressants.
Critically endangered Rice’s whales (Balaenoptera ricei) selectively feed on high-quality prey in the Gulf of Mexico
Authors: Kiszka Jeremy J. , Caputo Michelle , Vollenweider Johanna , Heithaus Michael R. , Aichinger Dias Laura , Garrison Lance P. 
Published: April 2023

AbstractDetermining the drivers of prey selection in marine predators is critical when investigating ecosystem structure and function. The newly recognized Rice’s whale (Balaenoptera ricei) is one of the most critically endangered large whales in the world and endemic to the industrialized Gulf of Mexico. Here, we investigated the drivers of resource selection by Rice’s whales in relation to prey availability and energy density. Bayesian stable isotope (δ13C, δ15N) mixing models suggest that Rice’s whales feed primarily on a schooling fish, Ariomma bondi (66.8% relative contribution). Prey selection using the Chesson’s index revealed that active prey selection was found to be positive for three out of the four potential prey identified in the mixing model. A low degree of overlap between prey availability and diet inferred from the mixing model (Pianka Index: 0.333) suggests that prey abundance is not the primary driver of prey selection. Energy density data suggest that prey selection may be primarily driven by the energy content. Results from this study indicate that Rice’s whales are selective predators consuming schooling prey with the highest energy content. Environmental changes in the region have the potential to influence prey species that would make them less available to Rice’s whales.
Characteristics of online user-generated text predict the emotional intelligence of individuals
Authors: Dover Yaniv , Amichai-Hamburger Yair 
Published: April 2023

AbstractEmotional intelligence is a well-established indicator of performance and the ability to maintain successful social relationships. Moreover, it is potentially an important factor in social dynamics occurring on large digital platforms, e.g., opinion polarization, social conflict, and social influence. Users publicly exchange enormous amounts of text on digital platforms, which can potentially be used to extract real-life insights. Yet, currently, the prevalent approach to measuring emotional intelligence uses mainly self-report surveys and tasks—considerably limiting the feasibility of real-life large-scale studies. We analyze the online public texts of users, who also completed emotional intelligence measures, to find that characteristics of online public texts can be used to predict emotional intelligence at a level like that of commonly used psychometric indicators (e.g., SATs) to predict real-life outcomes. For example, we find that high emotional intelligence individuals consistently use more positive-affect language, less negative-affect language and use more social-oriented language than low emotional intelligence individuals. Our findings provide insight into the role of personality on digital platforms and open the possibility of studying emotional intelligence in large and diverse real-life data. To support the use of online public text as a tool to research emotional intelligence, we provide an anonymized version of the data.
Low-grade glioma risk SNP rs11706832 is associated with type I interferon response pathway genes in cell lines
Authors: Rosenbaum Adam , Dahlin Anna M. , Andersson Ulrika , Björkblom Benny , Wu Wendy Yi-Ying , Hedman Håkan , Wibom Carl , Melin Beatrice 
Published: April 2023

AbstractGenome-wide association studies (GWAS) have contributed to our understanding of glioma susceptibility. To date, 25 risk loci for development of any of the glioma subtypes are known. However, GWAS studies reveal little about the molecular processes that lead to increased risk, especially for non-coding single nucleotide polymorphisms (SNP). A particular SNP in intron 2 of LRIG1, rs11706832, has been shown to increase the susceptibility for IDH1 mutated low-grade gliomas (LGG). Leucine-rich repeats and immunoglobulin-like domains protein 1 (LRIG1) is important in cancer development as it negatively regulates the epidermal growth factor receptor (EGFR); however, the mechanism responsible for this particular risk SNP and its potential effect on LRIG1 are not known. Using CRISPR-CAS9, we edited rs11706832 in HEK293T cells. Four HEK293T clones with the risk allele were compared to four clones with the non-risk allele for LRIG1 and SLC25A26 gene expression using RT-qPCR, for global gene expression using RNA-seq, and for metabolites using gas chromatography-mass spectrometry (GC–MS). The experiment did not reveal any significant effect of the SNP on the expression levels or splicing patterns of LRIG1 or SLC25A26. The global gene expression analysis revealed that the risk allele C was associated with upregulation of several mitochondrial genes. Gene enrichment analysis of 74 differentially expressed genes in the genome revealed a significant enrichment of type I interferon response genes, where many genes were downregulated for the risk allele C. Gene expression data of IDH1 mutated LGGs from the cancer genome atlas (TCGA) revealed a similar under expression of type I interferon genes associated with the risk allele. This study found the expression levels and splicing patterns of LRIG1 and SLC25A26 were not affected by the SNP in HEK293T cells. However, the risk allele was associated with a downregulation of genes involved in the innate immune response both in the HEK293T cells and in the LGG data from TCGA.
Improving Josephson junction reproducibility for superconducting quantum circuits: junction area fluctuation
Authors: Pishchimova Anastasiya A. , Smirnov Nikita S. , Ezenkova Daria A. , Krivko Elizaveta A. , Zikiy Evgeniy V. , Moskalev Dmitry O. , Ivanov Anton I. , Korshakov Nikita D. , Rodionov Ilya A. 
Published: April 2023

AbstractJosephson superconducting qubits and parametric amplifiers are prominent examples of superconducting quantum circuits that have shown rapid progress in recent years. As such devices become more complex, the requirements for reproducibility of their electrical properties across a chip are being tightened. Critical current of the Josephson junction Ic is the essential electrical parameter in a chip. So, its variation is to be minimized. According to the Ambegaokar–Baratoff formula, critical current is related to normal-state resistance, which can be measured at room temperature. In this study, we focused on the dominant source of non-uniformity for the Josephson junction critical current–junction area variation. We optimized Josephson junction fabrication process and demonstrated resistance variation of 9.8–4.4% and 4.8–2.3% across 22 × 22 mm2 and 5 × 10 mm2 chip areas, respectively. For a wide range of junction areas from 0.008 to 0.12 μm2, we ensure a small linewidth standard deviation of 4 nm measured over 4500 junctions with linear dimensions from 80 to 680 nm. We found that the dominate source of junction area variation limiting $${\mathrm{I}}_{\mathrm{c}}$$

I
c

reproducibility is the imperfection of the evaporation system. The developed fabrication process was tested on superconducting highly coherent transmon qubits (T1 > 100 μs) and a nonlinear asymmetric inductive element parametric amplifier.
Initiation of scutellum-derived callus is regulated by an embryo-like developmental pathway in rice
Authors: Guo Fu , Wang Hua , Lian Guiwei , Cai Gui , Liu Wu , Zhang Haidao , Li Dandan , Zhou Chun , Han Ning , Zhu Muyuan , Su Yinghua , Seo Pil Joon , Xu Lin , Bian Hongwu 
Published: April 2023

AbstractIn rice (Oryza sativa) tissue culture, callus can be induced from the scutellum in embryo or from the vasculature of non-embryonic organs such as leaves, nodes, or roots. Here we show that the auxin signaling pathway triggers cell division in the epidermis of the scutellum to form an embryo-like structure, which leads to callus formation. Our transcriptome data show that embryo-, stem cell-, and auxin-related genes are upregulated during scutellum-derived callus initiation. Among those genes, the embryo-specific gene OsLEC1 is activated by auxin and involved in scutellum-derived callus initiation. However, OsLEC1 is not required for vasculature-derived callus initiation from roots. In addition, OsIAA11 and OsCRL1, which are involved in root development, are required for vasculature-derived callus formation but not for scutellum-derived callus formation. Overall, our data indicate that scutellum-derived callus initiation is regulated by an embryo-like development program, and this is different from vasculature-derived callus initiation which borrows a root development program.
Topological resonances in a Möbius ring resonator
Authors: Chen Yao , Hou Jiankun , Zhao Guolin , Chen Xianfeng , Wan Wenjie 
Published: April 2023

AbstractA Möbius strip, fascinating for its unique topological property of being a one-side nonorientable surface, has inspired mathematicians, physicists, engineers, and artists for many centuries. In a coherent system, coherent waves on the nonorientable surfaces reveal rich topological dynamics due to the interplay of coherence and topology. Here we experimentally observe topological resonances in a Möbius ring resonator formed in a twisted optical fiber loop. The twisted polarization-maintaining fiber ring encourages the hybridization of two polarization states, giving rise to the crucial Berry phase. This geometrical phase leads to the frequency shifts of fiber resonant modes with a non-trivial fractional mode number. Moreover, the resonant modes are topological, only resonating with certain polarized modes with circular chirality. These topological features introduce geometrical factors into coherent wave resonances, paving the way for topological information processing for quantum information, and coherent wave dynamics.
Synthesis of ABCBA-type miktoarm H-shaped copolymers with poly(3-hexylthiophene) segments and their application to intrinsically stretchable photonic transistor memory
Authors: Inagaki Shin , Sung Chih-Yuan , Chang Ai-Chun , Lin Yan-Cheng , Chen Wen-Chang , Higashihara Tomoya 
Published: April 2023

A series of novel ABCBA-type miktoarm H-shaped copolymers with poly(3-hexylthiophene) segments have been synthesized and applied to phototransistor memory device materials, showing excellent memory properties and ductility/elasticity.
Assessment and evaluation of Chitosan‐Metamizole nanoparticles for the fracture healing and analgesic effect: Preclinical study in rat model
Authors: Yin Li , Yuan Liyong , Peng Chunling , Wang Qionghua 
Published: April 2023

AbstractTo assess and evaluate Chitosan‐Metamizole nanoparticles for fracture healing and analgesic potential, nanoparticles were formulated using the ionotropic gelation method. The nanoparticles were evaluated for particle size, zeta potential, polydispersity index, loading efficiency, surface characteristics and drug release properties. The analgesic activity was determined in carrageenan‐induced arthritic male Wister rats. Further fracture healing potency, mechanical testing, radiographic examination and bone histology of the femur were studied. The drug loading efficiency of 11.38%–17.45%, particle size of 140–220 nm, and zeta potential of 19.12–23.14 mV were observed with a spherical, smooth appearance. Nanoparticles showed sustained release behaviour over a longer period. Nearly 4‐fold inhibition of oedema was observed in animals treated with nanoparticles with excellent fracture healing potential. The femurs treated with nanoparticles required greater force to fracture. Nanoparticles significantly improved the strength and healing process. Histopathological studies showed the potential of nanoparticles in the healing process. The study confirmed the potential of nanoparticles in fracture healing and enhancement of analgesic activity.
Heuristic adaptive threshold detection method for neuronal spikes
Authors: Zhao Dechun , Jiao Shuyang , Chen Huan , Hou Xiaorong 
Published: April 2023

AbstractIn recent years, the development of microelectrode arrays and multichannel recordings has provided opportunities for high‐precision detection in signal processing. The study of neuronal frontal potentials has been rapidly emerging as an important component in brain‐computer interface and neuroscience research. Neuronal spike detection provides a basis for neuronal discharge analysis and nucleus cluster identification; its accuracy depends on feature extraction and classification, which affect neuronal decoding analysis. However, improving the detection accuracy of spike potentials in highly noisy signals remains a problem. IThe authors propose a heuristic adaptive threshold spike‐detection algorithm that removes noise and reduces the phase shift using a zero‐phase Butterworth infinite impulse response filter. Next, heuristic thresholding is applied to obtain spike points, remove repetitions, and achieve robust spike detection. The proposed algorithm achieved an average accuracy of 95.40% using extracellular spiked datasets and effectively detected spikes.
Bilateral Implantation of Multifocal Intraocular Lenses: 10-Year Follow-Up
Authors: Giglio Rosa , De Giacinto Chiara , Inferrera Leandro , Fanni Daniela , Milan Serena , Cuna Alessandra , Toro Mario Damiano , Zweifel Sandrine , Ravalico Giuseppe , Tognetto Daniele 
Published: April 2023

Abstract
Purpose To evaluate and compare the long-term results after bilateral implantation of different multifocal intraocular lenses (MIOLs).
Methods This retrospective comparative study included 42 patients who underwent cataract surgery with bilateral MIOL implantation. Patients were divided into 5 groups: Group 1
received a refractive ReZoom NGX1 IOL (AMO), Group 2 a diffractive Acrysof ReSTOR SA60D3 IOL (Alcon), and Group 3 a diffractive Tecnis ZM900 IOL (AMO). Group 4 and Group 5 were implanted
using the mix and match approach with refractive ReZoom-diffractive ReSTOR IOL and refractive ReZoom-diffractive Tecnis ZM900 IOL, respectively. Primary outcome measures were distance, near,
and intermediate distance visual acuity measured 6 months (T0) and 10 years (T1) after surgery. Secondary outcomes were defocus curves, contrast sensitivity, patientsʼ satisfaction, and
spectacle independence.
Results All patients achieved best-corrected distance visual acuity (BCDVA) greater than 0.11 logMAR and uncorrected distance visual acuity (UCDVA) greater than 0.14 logMAR at both
time points. A decrease in contrast sensitivity was evident, particularly at high spatial frequencies; at T1, Group 4 reported statistically higher values than Group 2 at 12 cycles/degree
and 18 cycles/degree and statistically higher values than Group 3 at 18 cycles/degree. Great overall satisfaction was reported even in the presence of dysphotopsia. Tecnis ZM900 IOL showed
the lowest incidence of posterior capsular opacification.
Conclusion MIOLs could provide adequate functional vision and patient satisfaction, despite the incidence of side effects, in carefully selected patients desiring spectacle
independence.