bluuebunny/crossref_metadata_2025_split huggingface dataset:
2.5‐D Local Hybrid Simulations of Hot Flow Anomalies Under Various Magnetic Field Geometries
Authors: Vu Andrew , Liu Terry Z. , Angelopoulos Vassilis , Zhang Hui 
Published: May 2024

AbstractHot flow anomalies are ion kinetic phenomena that play an important role in geoeffects and particle acceleration. They form due to the currents driven by demagnetized foreshock ions around a tangential discontinuity (TD). To understand the profile of such currents around a TD with foreshock ions on both sides, we use 2.5‐D local hybrid simulations of TDs, interacting with a planar shock with various shock geometries. We find that the electric field direction relative to the TD plane provides information about how the foreshock ion‐driven currents affect the magnetic field around the TD. For TDs embedded in the quasi‐parallel shock on both sides, the foreshock ions from one side of TD can cross it determining the current profile on the other side. In contrast, for TDs embedded in the quasi‐perpendicular shock, sheath‐leaked ions enter the TD and determine the current profile. We find that the foreshock ultra‐low frequency waves can periodically modulate how foreshock ions interact with the TD and thus the current profile. Studying the effects of various magnetic field configurations allows us to build a more comprehensive model of hot flow anomalie formation.
Magnetic sensitivity enhancement via polarimetric excitation and detection of an ensemble of NV centers
Authors: Magaletti Simone , Mayer Ludovic , Le Xuan Phuc , Debuisschert Thierry 
Published: May 2024

AbstractThe negatively charged nitrogen-vacancy center (NV) presents remarkable spin-dependent optical properties that make it an interesting tool for magnetic field sensing. In this paper we exploit the polarization properties of the NV center absorption and emission processes to improve the magnetic sensitivity of an ensemble of NV centers. By simply equipping the experimental set-up of a half-wave plate in the excitation path and a polarizer in the detection path we demonstrate an improvement larger than a factor of two on the NV center magnetic sensitivity.
Down-regulation of KLRB1 is associated with increased cell growth, metastasis, poor prognosis, as well as a dysfunctional immune microenvironment in LUAD
Authors: Chen Jiu-Ling , Wu Chuang-Yan , Luo Xiang-Yu , Wang Xue-Ying , Wang Fang-Ming , Huang Xin , Yuan Wei , Guo Qiang 
Published: May 2024

AbstractKiller cell lectin-like receptor B1 (KLRB1) is implicated in cancer progression and immunity. In this study, we aimed to evaluate the expression levels of KLRB1 in lung adenocarcinoma (LUAD) and analyze the relationship between KLRB1 expression levels, LUAD progression, and the tumor immune microenvironment. KLRB1 levels in LUAD were analyzed using data from the TCGA and XENA databases. Additionally, the diagnostic values of KLRB1 were analyzed in patients with LUAD. Survival and meta-analyses were employed to investigate the relationship between KLRB1 levels and other prognostic factors in patients with LUAD. Bioinformatics and cellular experiments were used to understand the functions and mechanisms of KLRB1. In addition, correlation analysis was used to investigate the relationship between KLRB1 levels and the immune microenvironment in LUAD. Reduced KLRB1 expression in LUAD was found to positively correlate with tumor size, distant metastasis, pathological stage, age, overall survival, diagnostic value, and disease-specific survival in patients with LUAD (P < 0.05). Conversely, increased KLRB1 expression was found to positively correlate with the overall survival and disease-specific survival in patients with LUAD (P < 0.05). We also found that the overexpression of KLRB1 can inhibit the proliferation, migration, and invasion of LUAD cells and promote apoptosis. KLRB1 was involved in immune cell differentiation, NF-kB, PD-L1, and PD-1 checkpoint pathways and others. Additionally, KLRB1 expression was linked to tumor purity, stromal, immune, and estimate scores, the levels of immune cells including B cells, CD8+ T cells, and CD4+ T cells, and immune cell markers in LUAD. Reduced KLRB1 expression has a significant positive correlation with diagnosis, poor prognosis, and immunity to cancer in patients with LUAD. KLRB1 inhibited cell proliferation and migration in patients with LUAD. These results suggest that KLRB1 may serve as a potential therapeutic target in patients with LUAD.
Weathering increases the acute toxicity of plastic pellets leachates to sea-urchin larvae—a case study with environmental samples
Authors: Ferrari Michele , Laranjeiro Filipe , Sugrañes Marta , Oliva Jordi , Beiras Ricardo 
Published: May 2024

AbstractMicroplastics, particles under 5 mm, pervade aquatic environments, notably in Tarragona’s coastal region (NE Iberian Peninsula), hosting a major plastic production complex. To investigate weathering and yellowness impact on plastic pellets toxicity, sea-urchin embryo tests were conducted with pellets from three locations—near the source and at increasing distances. Strikingly, distant samples showed toxicity to invertebrate early stages, contrasting with innocuous results near the production site. Follow-up experiments highlighted the significance of weathering and yellowing in elevated pellet toxicity, with more weathered and colored pellets exhibiting toxicity. This research underscores the overlooked realm of plastic leachate impact on marine organisms while proposes that prolonged exposure of plastic pellets in the environment may lead to toxicity. Despite shedding light on potential chemical sorption as a toxicity source, further investigations are imperative to comprehend weathering, yellowing, and chemical accumulation in plastic particles.
Development of multi epitope subunit vaccines against emerging carp viruses Cyprinid herpesvirus 1 and 3 using immunoinformatics approach
Authors: Rani Nurul Amin , Robin Tanjin Barketullah , Prome Anindita Ash , Ahmed Nadim , Moin Abu Tayab , Patil Rajesh B. , Sikder Mohammad Nurul Azim , Bappy Md Nazmul Islam , Afrin Dilruba , Hossain Ferdaus Mohd Altaf , Islam Tofazzal , Zinnah Kazi Md. Ali 
Published: May 2024

AbstractCyprinid herpesvirus is a causative agent of a destructive disease in common and koi carp (Cyprinus carpio), which leads to substantial global financial losses in aquaculture industries. Among the strains of C. herpesvirus, C. herpesvirus 1 (CyHV-1) and C. herpesvirus 3 (CyHV-3) are known as highly pathogenic to carp fishes in Europe, Asia, and Africa. To date, no effective vaccine has been developed to combat these viruses. This study aimed to develop unique multi-epitope subunit vaccines targeting the CyHV-1 and CyHV-3 using a reverse vaccinology approach. The study began with a comprehensive literature review to identify the most critical proteins, which were then subjected to in silico analyses to predict highly antigenic epitopes. These analyses involved assessing antigenicity, transmembrane topology screening, allergenecity, toxicity, and molecular docking approaches. We constructed two multi-epitope-based vaccines incorporating a suitable adjuvant and appropriate linkers. It revealed that both the vaccines are non-toxic and immunogenic. The tertiary structures of the vaccine proteins were generated, refined, and validated to ensure their suitability. The binding affinity between the vaccine constructs and TLR3 and TLR5 receptors were assessed by molecular docking studies. Molecular dynamics simulations indicated that vaccine construct V1 exhibited greater stability with both TLR3 and TLR5 based on RMSD analysis. Hydrogen bond analysis revealed a stronger binding affinity between the vaccine constructs and TLR5 compared to TLR3. Furthermore, MM-PBSA analysis suggested that both vaccine constructs exhibited a better affinity for TLR5. Considering all aspects, the results suggest that in silico development of CyHV vaccines incorporating multiple epitopes holds promise for management of diseases caused by CyHV-1 and CyHV-3. However, further in vivo trials are highly recommended to validate the efficacies of these vaccines.
Trends in chlamydia prevalence in the United States, 2005–2016
Authors: Cheng Yu , Zheng Guanghao , Song Zhen , Zhang Gan , Rao Xuepeng , Zeng Tao 
Published: May 2024

AbstractIn the United States (US), chlamydia is the most frequently reported sexually transmitted infection that is nationally notifiable. We examined trends in chlamydia prevalence in the US in 2011–2016 compared with 2005–2010. Cross-sectional, nationally representative surveys, National Health and Nutrition Examination Surveys (NHANES), were used to compare national chlamydia prevalence estimates from 2011 to 2016 with those from 2005 to 2010, and changes in prevalence since 1999–2004 were also reviewed. Persons aged 18–39 years were included in these analyses. Prevalence of chlamydia was based on results from urine specimens. Results were weighted to represent the U.S. civilian, noninstitutionalized population. The baseline characteristics of the study population were similar in gender, age and race/ethnicity between the two groups (P > 0.05). The overall chlamydia prevalence was 1.88% (95% confidence interval [CI] 1.55–2.22%) in 2011–2016 and 1.57% (95% CI 1.27–1.87%) in 2005–2010, a relative increase of 19.7% (95% CI 0.2–39.2%; P < 0.05) between the two surveys. Increases in chlamydia prevalence was especially concentrated in persons who were male, aged 18 to 29 years, had > high school educational level, never married, age at first sex < 18 years, had 2–5 sexual partners in lifetime and had no past sexually transmitted diagnosis between 2005 and 2016 (P < 0.05). Multivariable logistic regression analysis demonstrated that chlamydia was more prevalent in those aged 18–29 years, being non-Hispanic Blacks, had high school educational level, being widowed/divorced/separated and had > 5 sexual partners. The chlamydia prevalence had an increasing trend from 2005–2010 to 2011–2016. Those with high chlamydia prevalence such as sexually active young adults and Non-Hispanic Black should be screened annually so that infected persons can be diagnosed and they and their sex partners can be treated promptly.
Biomechanical assessment of mandibular fracture fixation using finite element analysis validated by polymeric mandible mechanical testing
Authors: Daqiq Omid , Roossien Charlotte Christina , Wubs Frederik Wilhelm , van Minnen Baucke 
Published: May 2024

AbstractThe clinical finite element analysis (FEA) application in maxillofacial surgery for mandibular fracture is limited due to the lack of a validated FEA model. Therefore, this study aims to develop a validated FEA model for mandibular fracture treatment, by assessing non-comminuted mandibular fracture fixation. FEA models were created for mandibles with single simple symphysis, parasymphysis, and angle fractures; fixated with 2.0 mm 4-hole titanium miniplates located at three different configurations with clinically known differences in stability, namely: superior border, inferior border, and two plate combinations. The FEA models were validated with series of Synbone polymeric mandible mechanical testing (PMMT) using a mechanical test bench with an identical test set-up. The first outcome was that the current understanding of stable simple mandibular fracture fixation was reproducible in both the FEA and PMMT. Optimal fracture stability was achieved with the two plate combination, followed by superior border, and then inferior border plating. Second, the FEA and the PMMT findings were consistent and comparable (a total displacement difference of 1.13 mm). In conclusion, the FEA and the PMMT outcomes were similar, and hence suitable for simple mandibular fracture treatment analyses. The FEA model can possibly be applied for non-routine complex mandibular fracture management.
Automatic segmentation and classification of frontal sinuses for sex determination from CBCT scans using a two-stage anatomy-guided attention network
Authors: da Silva Renan Lucio Berbel , Yang Su , Kim DaEl , Kim Jun Ho , Lim Sang-Heon , Han Jiyong , Kim Jun-Min , Kim Jo-Eun , Huh Kyung-Hoe , Lee Sam-Sun , Heo Min-Suk , Yi Won-Jin 
Published: May 2024

AbstractSex determination is essential for identifying unidentified individuals, particularly in forensic contexts. Traditional methods for sex determination involve manual measurements of skeletal features on CBCT scans. However, these manual measurements are labor-intensive, time-consuming, and error-prone. The purpose of this study was to automatically and accurately determine sex on a CBCT scan using a two-stage anatomy-guided attention network (SDetNet). SDetNet consisted of a 2D frontal sinus segmentation network (FSNet) and a 3D anatomy-guided attention network (SDNet). FSNet segmented frontal sinus regions in the CBCT images and extracted regions of interest (ROIs) near them. Then, the ROIs were fed into SDNet to predict sex accurately. To improve sex determination performance, we proposed multi-channel inputs (MSIs) and an anatomy-guided attention module (AGAM), which encouraged SDetNet to learn differences in the anatomical context of the frontal sinus between males and females. SDetNet showed superior sex determination performance in the area under the receiver operating characteristic curve, accuracy, Brier score, and specificity compared with the other 3D CNNs. Moreover, the results of ablation studies showed a notable improvement in sex determination with the embedding of both MSI and AGAM. Consequently, SDetNet demonstrated automatic and accurate sex determination by learning the anatomical context information of the frontal sinus on CBCT scans.
The impact of psychopathic traits on anxiety-related behaviors in a mixed reality environment
Authors: Voulgaris Alexander , Biedermann Sarah V. , Biedermann Daniel , Bründl Susanne , Roth Lateefah , Wiessner Christian , Briken Peer , Fuss Johannes 
Published: May 2024

AbstractThere is an ongoing debate about anxiety deficits in psychopathy and their possible impact on individual behavior. Data on actual anxiety- and threat-related behavior associated with psychopathy is still limited. We performed a mixed reality study using the elevated plus-maze (EPM) in a non-clinical sample (N = 160) to test anxiety-related behavior in relation to psychopathic personality traits measured through the Brief Questionnaire of Psychopathic Personality Traits (FPP). The psychopathy sum score correlated significantly with all measures of anxiety-related behavior on the EPM. Sensation seeking, but not general levels of acrophobia was moreover associated with psychopathic traits. Multivariate analyses revealed that the subscales Fearlessness and Lack of Empathy of the FPP predicted anxious behavior. Our findings are the first to demonstrate the relationship between psychopathic traits and actual behavior in an anxiety-inducing environment. This supports the low-anxiety hypothesis in psychopathy research. Implications for potentially harmful or risky behavior are discussed.
Classification and identification of tea diseases based on improved YOLOv7 model of MobileNeXt
Authors: Xia Yuxin , Yuan Wenxia , Zhang Shihao , Wang Qiaomei , Liu Xiaohui , Wang Houqiao , Wu Yamin , Yang Chunhua , Xu Jiayi , Li Lei , He Junjie , Cao Zhiyong , Wang Zejun , Zhao Zihua , Wang Baijuan 
Published: May 2024

AbstractTo address the issues of low accuracy and slow response speed in tea disease classification and identification, an improved YOLOv7 lightweight model was proposed in this study. The lightweight MobileNeXt was used as the backbone network to reduce computational load and enhance efficiency. Additionally, a dual-layer routing attention mechanism was introduced to enhance the model’s ability to capture crucial details and textures in disease images, thereby improving accuracy. The SIoU loss function was employed to mitigate missed and erroneous judgments, resulting in improved recognition amidst complex image backgrounds.The revised model achieved precision, recall, and average precision of 93.5%, 89.9%, and 92.1%, respectively, representing increases of 4.5%, 1.9%, and 2.6% over the original model. Furthermore, the model’s volum was reduced by 24.69M, the total param was reduced by 12.88M, while detection speed was increased by 24.41 frames per second. This enhanced model efficiently and accurately identifies tea disease types, offering the benefits of lower parameter count and faster detection, thereby establishing a robust foundation for tea disease monitoring and prevention efforts.
Climate change impact on groundwater resources in sandbar aquifers in southern Baltic coast
Authors: Gumuła-Kawęcka Anna , Jaworska-Szulc Beata , Jefimow Maciej 
Published: May 2024

AbstractShallow coastal aquifers are vulnerable hydrosystems controlled by many factors, related to climate, seawater-freshwater interactions and human activity. Given on-going climate change, sea level rise and increasing human impact, it is especially true for groundwater resources situated in sandbars. We developed numerical models of unsaturated zone water flow for two sandbars in northern Poland: the Vistula Spit and the Hel Spit using HYDRUS-1D. The simulations were performed for three types of land use: pine forest, grass cover and bare soil, for 2024–2100 based on weather data and sea level rise forecasts for two emissions scenarios (RCP 4.5 and RCP 8.5). The results present prognosis of groundwater recharge, water table level and water content changeability in near-term (2023–2040), mid-term (2041–2060), and long-term period (2081–2100). Expected sea level rise and decreasing hydraulic gradient of the sandbar aquifers will probably cause in-land movement of the freshwater–saltwater interface, leading to significant decrease or complete salinization of groundwater resources. The study shows that holistic monitoring including groundwater level and salinization, sea level rise, and metheorological data (precipitation amount and variability, temperature) is crucial for sustainable management of vulnerable aquifers located in sandbars.
Integrated analysis identified the role of three family members of ARHGAP in pancreatic adenocarcinoma
Authors: Fei Haoran , Shi Xiao , Sun Dan , Yang Haishen , Wang Dali , Li Kai , Si Xinxin , Hu Wei 
Published: May 2024

AbstractThe Rho GTPase activating protein family (ARHGAPs) is expressed in pancreatic adenocarcinoma (PAAD) but its function is unclear. The aim of this study was to explore the role and potential clinical value of ARHGAPs in PAAD. Using TCGA and GEO databases to analyze expression of ARHGAPs in PAAD and normal tissues. Survival curve was drawn by Kaplan–Meier. ARHGAPs were integrated analyzed by GEPIA2, TIMER, UCLCAN, cBioPortal and R language. Protein level and prognostic value were evaluated via IHC staining or survival analysis. We totally identify 18 differentially expressed (DE) ARHGAPs in PAAD. Among the 18 DE genes, 8 were positively correlated with tumor grade; abnorrmal expression of 5 was positively correlated with copy number variation; expression of 4 was positively correlated with promoter hypomethylation. Multivariate Cox regression identified ARHGAP5, ARHGAP11A, and ARHGAP12 as independent prognostic factors of PAAD. The function of ARHGAPs was mainly related to GTPase activity and signaling, axon guidance, proteoglycans in cancer and focal adhesion. Expression of 7 ARHGAPs was strongly correlated with immune infiltration. Immunohistochemistry showed increased protein levels of ARHGAP5, ARHGAP11A, and ARHGAP12 in PAAD tissues. Survival analysis confirmed a negative correlation between ARHGAP5, ARHGAP11A, and ARHGAP12 expression and patient prognosis. Multivariate Cox regression proved ARHGAP5, ARHGAP11A, and ARHGAP12 could serve as independent prognostic indicators for PAAD. Finally, this study verified ARHGAP5, ARHGAP11A, and ARHGAP12 as independent prognostic factors in PAAD, suggesting their significance for the diagnosis and treatment of PAAD.
Comparative chloroplast genomics, phylogenetic relationships and molecular markers development of Aglaonema commutatum and seven green cultivars of Aglaonema
Authors: Li Dong-Mei , Pan Yan-Gu , Wu Xiao-Ye , Zou Shui-Ping , Wang Lan , Zhu Gen-Fa 
Published: May 2024

AbstractAglaonema commutatum is a famous species in the Aglaonema genus, which has important ornamental and economic value. However, its chloroplast genome information and phylogenetic relationships among popular green cultivars of Aglaonema in southern China have not been reported. Herein, chloroplast genomes of one variety of A. commutatum and seven green cultivars of Aglaonema, namely, A. commutatum ‘San Remo’, ‘Kai Sa’, ‘Pattaya Beauty’, ‘Sapphire’, ‘Silver Queen’, ‘Snow White’, ‘White Gem’, and ‘White Horse Prince’, were sequenced and assembled for comparative analysis and phylogeny. These eight genomes possessed a typical quadripartite structure that consisted of a LSC region (90,799–91,486 bp), an SSC region (20,508–21,137 bp) and a pair of IR regions (26,661–26,750 bp). Each genome contained 112 different genes, comprising 79 protein-coding genes, 29 tRNA genes and 4 rRNA genes. The gene orders, GC contents, codon usage frequency, and IR/SC boundaries were highly conserved among these eight genomes. Long repeats, SSRs, SNPs and indels were analyzed among these eight genomes. Comparative analysis of 15 Aglaonema chloroplast genomes identified 7 highly variable regions, including trnH-GUG-exon1-psbA, trnS-GCU-trnG-UCC-exon1, trnY-GUA-trnE-UUC, psbC-trnS-UGA, trnF-GAA-ndhJ, ccsA-ndhD, and rps15-ycf1-D2. Reconstruction of the phylogenetic trees based on chloroplast genomes, strongly supported that Aglaonema was a sister to Anchomanes, and that the Aglaonema genus was classified into two sister clades including clade I and clade II, which corresponded to two sections, Aglaonema and Chamaecaulon, respectively. One variety and five cultivars, including A. commutatum ‘San Remo’, ‘Kai Sa’, ‘Pattaya Beauty’, ‘Silver Queen’, ‘Snow White’, and ‘White Horse Prince’, were classified into clade I; and the rest of the two cultivars, including ‘Sapphire’ and ‘White Gem’, were classified into clade II. Positive selection was observed in 34 protein-coding genes at the level of the amino acid sites among 77 chloroplast genomes of the Araceae family. Based on the highly variable regions and SSRs, 4 DNA markers were developed to differentiate the clade I and clade II in Aglaonema. In conclusion, this study provided chloroplast genomic resources for Aglaonema, which were useful for its classification and phylogeny.
Multiple factor assessment for determining resting metabolic rate in young adults
Authors: Zhou Wanqing , Su Hong , Tong Jiali , Du Wenwen , Wang Bo , Chen Pei , Wan Hua , Zhou Ming 
Published: May 2024

AbstractExisting formulas cannot fully explain the variation of resting metabolic rate (RMR). This study aims to examine potential influencing factors beyond anthropometric measurements and develop more accurate equations using accessible parameters. 324 healthy adults (230 females; 18–32 years old) participated in the study. Height, fat-free mass (FFM), fat mass (FM) and RMR were measured. Menstrual cycle, stress levels, living habits, and frequency of consuming caffeinated foods were collected. Measured RMR were compared with predictive values of the new equations and previous 11 equations. Mean RMR for men and women was 1825.2 ± 248.8 and 1345.1 ± 178.7 kcal/day, respectively. RMR adjusted for FFM0.66FM0.066 was positively correlated with BMI. The multiple regression model showed that RMR can be predicted in this population with model 1 (with FFM, FM, age, sex and daily sun exposure duration) or model 2 (with weight and height replacing FFM and FM). The accuracy was 75.31% in the population for predictive model 1 and 70.68% for predictive model 2. The new equations had overall improved performance when compared with existing equations. The predictive formula that consider daily sun exposure duration improve RMR prediction in young adults. Additional investigation is required among individuals in the middle-aged and elderly demographic.