bluuebunny/crossref_metadata_2025_split huggingface dataset:
Learning complex representations from spatial phase statistics of natural scenes
Authors: MaBouDi HaDi , Subramani Krishna , Soltanian-Zadeh Hamid , Amari Shun-ichi , Shimazaki Hideaki 
Published: September 2023

Abstract
Natural scenes exhibit higher-order statistical structures encapsulated within their spatial phase information, contributing significantly to visual perception and neural coding. Despite this potential, comprehending the brain's adept representation of phase information and developing computational models to capture these processes remain areas of limited advancement. To address this gap and facilitate the capture of spatial phase patterns within the efficient coding hypothesis framework, we introduce a novel generative model for the representation of the phase images of visual scenes. We propose that images can be deconstructed into complex-valued features and independent source signals while integrating their non-uniform phase distributions. Expanding upon existing bilinear generative models, we provide a gradient-based optimization algorithm for estimating model parameters, firmly rooted in the principles of maximum-likelihood. Additionally, we introduce a technique to decorrelate the elements of each complex source signal. Through extensive simulations, we showcase the model's superiority in blind source separation of complex-valued signals compared to conventional models. The application of our model to amplitude-shuffled natural scenes, which preserves spatial phase statistics but loses amplitude information, uncovers learned complex features reminiscent of the receptive fields of visual cortex simple cells, characterized by distinct pairs of Gabor-like filter profiles. These findings emphasize the model's capacity to enhance goodness-of-fit beyond the limitations of models of natural scenes with uniform phase assumptions, shedding new light on how spatial phase patterns are encoded. Our findings highlight the significance of structured phase information within natural signals, further strengthening the proposition that phase-sensitive cells in the visual cortex play a fundamental role in reducing redundancy in the phase information of natural scenes.
Analytical model of interface crack in bonding quasi-brittle material between distinct elastic media
Authors: Kaminsky Anatoly , Dudyk Mykhailo , Chornoivan Yuri 
Published: September 2023

Abstract
The purpose of this work is to build an analytical model of an interfacial crack in piecewise homogeneous elastic bodies to predict the conditions of its initiation. The treatment is based on the concept of the process zone, which takes into account the existence of a local region with a high level of stresses and strains in the bonding material before the crack front. In the process zone, a quadratic strength criterion of the Mises-Hill type is assumed. The use of this criterion provides consideration of the quasi-brittle mechanism of the bonding material fracture. Using the Mellin integral transformation, the problem of calculating the parameters of the process zone in the bonding material at the tip of the interfacial crack within the framework of the proposed model is reduced to a vector functional equation, for which an exact analytical solution was found using the Wiener-Hopf method. From the solution found, a closed system of transcendental equations and relationships is derived for determining the length of the process zone, the phase angle of the load, and the energy release rate in the zone and the opening of the crack at its tip, which form an accessible algorithm for estimating the limit loads that precede propagation of the crack along the interface. Numerical analysis of the developed model is performed, and the possibility of its application in fracture studies of some composite materials is demonstrated.
Japanese preschool-aged children’s gratitude as a moral virtue: Is the development of gratitude culture-specific?
Authors: Kato-Shimizu Mayuko , Hinobayashi Toshihiko 
Published: September 2023

Abstract
The function of gratitude as a factor in forming reciprocal relationships has not yet been examined in preschool-aged children. This study examines how cultural differences may influence children’s expression and understanding of gratitude. Two vignettes involving a high- and low-cost situation of expressing gratitude were told to Japanese preschool-aged children, and their responses to the scenarios were recorded. Compared to American children, a certain number of Japanese children associated positive feelings with the benefactor when they helped, would help the benefactor if they were in need, and cited reciprocity as a reason for doing so. The findings confirmed that the sprouting of gratitude as a moral virtue is also observed in preschool children from non-Western countries, and commonalities in moral development across cultures were found. At the same time, depending on the cost incurred by the benefactor on offering help, we found cultural differences in various aspects of gratitude. The findings suggested that gratitude, which encompasses the norm of reciprocity, is triggered in Japanese children in response to the cost to the benefactor.
Temperature sensitive nanogel-stabilized pickering emulsion of fluoroalkane for ultrasound guiding vascular embolization therapy
Authors: Li Ling , Cao Yanyan , Zhang Haining , Zheng Min , Xing Jun , Zheng Chuansheng , Zhao Yanbing , Yang Xiangliang 
Published: September 2023

Abstract
X-ray imaging technologies, including CT, DSA and so on, are widely used in transcatheter arterial embolization (TAE) therapy on hepatocellular cancer (HCC) clinically. They still have some disadvantages, such as complex operation, ionizing radiation and others, though have high imaging contrast. Ultrasound imaging, which has the advantages of simple and fast operation, no ionizing radiation and real-time imaging, likely plays an important role on the field of medical diagnosis. Here, Poly (N-isopropylacrylamide-co-2,2,3,4,4,4-Hexafluorobutyl methacrylate) (PNF) nanogels were synthesized for stabilizing the Pickering emulsion of 2H, 3H-decafluoropentane (HDFP) named TGFPE. The emulsion had abilities of thermosensitive sol-gel transition and long-term ultrasound imaging in vitro. It was be conformed that the emulsion could achieve vascular embolization and long-term ultrasound imaging in vivo according to the results of the experiments of animal TAE therapy model. The flow and accumulation of the emulsion droplets were visualized under guidance of ultrasound imaging. In summary, the Pickering emulsion has potential to be used as ultrasound-guided embolization material for mediating TAE surgery.
The brain-bone marrow axis: Implications for chronic traumatic brain injury and age-related neurodegeneration
Authors: Wu Junfang , Ritzel Rodney , Li Yun , Jiao Yun , Doran Sarah , Khan Niaz , Henry Rebecca , Brunner Kavitha , Loane David , Faden Alan , Szeto Gregory 
Published: September 2023

Abstract
Introduction: It is well established that traumatic brain injury (TBI) causes acute and chronic alterations in systemic immune function and that systemic immune changes contribute to posttraumatic neuroinflammation and neurodegeneration. However, how TBI affects bone marrow (BM) hematopoietic stem cells/progenitors chronically and to what extent such changes may negatively impact innate immunity and neurological function has not been examined. Methods: To further understand the role of BM cell derivatives on TBI outcome, we generated BM chimeric mice by transplanting BM from chronically injured or sham (i.e., 90 days post-surgery) congenic donor mice into otherwise healthy, age-matched, irradiated hosts. Immune changes were evaluated by flow cytometry, multiplex ELISA, and NanoString technology. Moderate-to-severe TBI was induced by controlled cortical impact injury and neurological function was measured using a battery of behavioral tests.
Results: TBI induced chronic alterations in the transcriptome of BM lineage-c-Kit+Sca1+ (LSK+) cells in wild type (WT) mice, including modified epigenetic and senescence pathways. After 8 weeks of reconstitution, no changes in BM or blood leukocyte number or composition were observed in TBI→WT chimeric mice compared to either SH→WT or non-irradiated WT control mice, suggesting normal engraftment. However, peripheral myeloid cells from TBI→WT mice showed significantly higher oxidative stress levels and reduced phagocytic activity, consistent with previous findings in WT TBI mice. TBI→WT mice also showed higher plasma concentrations of chemokines and displayed significant deficits in neurological function. At eight months after reconstitution, TBI→WT chimeric mice were leukopenic, with continued altered phagocytosis and oxidative stress responses, as well as persistent neurological deficits. NanoString gene expression analysis revealed BM-driven changes in neuroinflammation and neuropathology after 8 weeks and 8 months of reconstitution, respectively. Chimeric mice subjected to TBI at 8 weeks and 8 months post-reconstitution showed that longer reconstitution periods (i.e., time post-injury) were associated with increased microgliosis and leukocyte infiltration. Pre-treatment with a senolytic agent, ABT-263, significantly improved behavioral performance of aged mice at baseline, although it did not attenuate neuroinflammation in the acutely injured brain.
Conclusion: TBI causes chronic activation and progressive dysfunction of the BM stem/progenitor cell pool, which drives long-term deficits in hematopoiesis, innate immunity, neurological function, as well as altered sensitivity to subsequent brain injury
Selenium Biomarkers and Their Relationship to Insulin Resistance in Women With Obesity
Authors: Soares Tamires da Cunha , Cardoso Bruna Emanuele Pereira , Dias Thaline Milany Silva , Morais Jennifer Beatriz Silva , Fontenelle Larissa Cristina , Melo Stéfany Rodrigues Sousa , Santos Loanne Rocha dos , Sousa Thayanne Gabryelle Visgueira , Sousa Mickael Paiva , Oliveira Emyle Horrana Serafim , Oliveira Francisco Erasmo , Henriques Gilberto Simeone , Marreiro Dilina do Nascimento 
Published: September 2023

Abstract
Several studies have shown the importance of selenium in preventing relevant metabolic disorders associated with obesity, such as chronic inflammation, oxidative stress and insulin resistance. However, the results of these studies are still controversial. Thus, this study aimed to evaluate selenium biomarkers and their relationship to insulin resistance in women with obesity. This cross-sectional study included 213 women who were divided in two groups: case group (women with obesity, n = 84) and control group (eutrophic women, n = 129). Selenium intake were obtained from the 3-day food record. Evaluation of selenium in plasma, erythrocyte and urine was performed by inductively coupled plasma optical emission spectrometry. Serum glucose concentrations were determined according to the colorimetric enzymatic method. Fasting insulin and glycated hemoglobin were analyzed according to the chemiluminescence method. The mean values of dietary selenium intake (µg/kg/day) by women with obesity were lower than the control group (p < 0.001). Plasma and erythrocyte concentrations had reduced values in the individuals with obesity (p < 0.001), while selenium concentrations found in urine were higher (p < 0.001). There was no statistical difference between the groups regarding glycemic control parameters (p > 0.05). There was a positive correlation between dietary selenium intake (µg/day), fasting insulin, glycated hemoglobin and HOMA-β, as well as between dietary intake (µg/kg/day), fasting insulin and HOMA-β (p < 0.05). The evaluated women with obesity present alterations in the nutritional status regarding selenium. In addition, it evidences a positive relationship between dietary selenium and markers of glycemic control, which may reflect the possible negative action of selenium on insulin action signaling.
Predicting the risk and speed of drug resistance emerging in soil-transmitted helminths during preventive chemotherapy
Authors: Coffeng Luc , Stolk Wilma , de Vlas Sake J. 
Published: September 2023

Abstract
BACKGROUND: Control of soil-transmitted helminths (STH) relies heavily on regular large-scale deworming of high-risk groups (e.g., children) with benzimidazole derivatives. Although drug resistance has not yet been documented in human STH, regular deworming of cattle and sheep has led to widespread benzimidazole resistance in veterinary helminths.
METHODS: Using a newly developed individual-based model, we predict the population dynamics of human STH infections and drug resistance during regular preventive chemotherapy (PC). We do this for a 20-year time period, considering different PC strategies and genetic mechanisms behind resistance.
RESULTS: More intense PC strategies increase the prospects of STH elimination, but also increase selective pressure and thus the speed at which drug efficacy declines, especially when implementing community-based PC (population-wide deworming) instead of school-based PC (children only). The risk of resistance is highest when resistance is monogenic, especially with co-dominant or dominant inheritance.
DISCUSSION: Even with the current PC strategy of mainly targeting children in schools, drug resistance may evolve within a decade. More intensive PC strategies would even further increase the risk and speed of resistance emerging. As such, our findings are timely and highlight the need to develop and implement strategies to monitor and mitigate the evolution of benzimidazole resistance.
Impact of Left Ventricular Inflow-Outflow Angle on Heart Failure Readmission Post- Transcatheter Aortic Valve Implantation
Authors: Tsuda Masaki , Egami Yasuyuki , Kawanami Shodai , Kawamura Akito , Ukita Kohei , Yasumoto Koji , Okamoto Naotaka , Matsunaga-Lee Yasuharu , Yano Masamichi , Nishino Masami 
Published: September 2023

Abstract
Purpose
Heart failure (HF) readmission post-transcatheter aortic valve implantation (TAVI) is common; however, its anatomical predictors remain unclear. This study aimed to assess the impact of the left ventricular inflow-outflow (LVIO) angle, evaluated using computed tomography, on HF readmission post-TAVI.
Methods
Consecutive patients who underwent transfemoral TAVI for native tricuspid aortic stenosis without histories of valve surgery or bicuspid aortic valve were assessed. The included patients were dichotomized into the small and large LVIO groups based on a mean systolic LVIO angle. The incidence of HF readmission within 1 year post-TAVI was compared between the two groups, in addition to patients’ and procedural characteristics and performance of transcatheter heart valves. Cox regressions were performed to identify predictors of HF readmission.
Results
Of 163 patients, 70 (43%) patients were classified as the small LVIO group. Additionally, 9 (5.5%) were readmitted for HF, and 7 (4.3%) died within 1 year post-TAVI. The small LVIO group had a significantly higher rate of HF readmission within 1 year post-TAVI than the large LVIO group (8 [11.4%] vs. 1 [1.1%], p < 0.01). However, the transvalvular mean gradient and residual aortic regurgitation post-TAVI did not differ between the two groups. Cox proportional hazard regression demonstrated that a small systolic LVIO angle was an independent predictor of HF readmission within 1 year post-TAVI (hazard ratio, 10.70; 95% confidence interval, 1.32–86.87; p = 0.03).
Conclusion
A small systolic LVIO angle was associated with HF readmission within 1 year post-TAVI. Patients with a small systolic LVIO angle may require close follow-up post-TAVI.
Control of Static Friction by Designing Grooves on Friction Surface
Authors: Iwashita Wataru , Matsukawa Hiroshi , Otsuki Michio 
Published: September 2023

Abstract
This study numerically investigated the friction of viscoelastic objects with grooves. A 3D viscoelastic block with grooves on a rigid substrate is slowly pushed from the lateral side under uniform pressure on the top surface. The local friction force at the interface between the block and the substrate obeys Amontons’ law. Numerical results obtained using the finite element method reveal that the static friction coefficient decreases with increasing groove width and depth. The propagation of the precursor slip is observed before bulk sliding. Furthermore, bulk sliding occurs when the area of slow precursor slip reaches a critical value, which decreases with increasing groove size. A theoretical analysis based on a simplified model reveals that the static friction coefficient is related to the critical area of the precursor, which is determined by the instability of the precursor. A scaling law for the critical area is theoretically predicted, and it indicates that the decrease in the effective viscosity due to the formation of the grooves leads to a decrease in the static friction coefficient. The validity of the theoretical prediction is numerically confirmed.
A Local-Global Feature Fusion Model For Aspect-Based Sentiment Classification
Authors: Mao GuoJun , Zhu JunXiong , Wang YongPeng , Jiang ChunMao 
Published: September 2023

Abstract
The goal of aspect-based sentiment analysis is to predict the emotional polarity of a specific aspect within a sentence. However, while most current research in this area focuses on modeling context and extracting features, it often fails to consider the contextual information of aspect words, which can negatively impact the overall classification performance of the model. To address this issue, we propose a new aspect sentiment analysis model called LGFF-BERT, which is based on the fusion of local and global features using BERT. Our model includes a local feature extraction module and a global feature extraction module. We use two masking matrices to extract local contextual information between aspect words and context based on the semantic relevance distance (SRD), and extract global feature information through multi-head attention and point-wise convolution. Additionally, we incorporate an RFF residual module to reduce information loss during feature fusion. We evaluated our model using three common ABSA datasets: the SemEval-2014 laptop and restaurant datasets, as well as the ACL Twitter dataset. Our experimental results show that LGFF-BERT outperforms the baseline model significantly. Furthermore, through ablation experiments and parameter selection, we demonstrate the significance and effectiveness of our model design.
Extraction, Phytochemical profile and Neuroprotective Activity of Phyllanthus emblica Fruit Extract Against Sodium Valproate-Induced Postnatal Autism in BALB/c Mice via modulation of 5-HT1D, 5-HT2A, D2 receptor protein, oxidative stress and inflammatory biomarkers
Authors: Gouda Balaji , Sinha Sukesh Narayan , Sangaraju Rajendra , Shashikala Patangay , Surekha Venkata Mullapudi , Mungamuri Sathish Kumar , Patil Pradeep B , Chary Periketi Madhusudhana , Sinha Rohan 
Published: September 2023

Abstract
The aim of this study was to evaluate the neuroprotective effect of ethyl acetate fraction of amla (EAFA) extract against sodium valproate or valproic acid (VPA)-induced autism in postnatal BALB/c mice and explore its mechanism of action on serotonergic and dopaminergic systems as well as oxidative stress. In this in vitro study, EAFA extract had a higher total antioxidant activity than the 70% methanol amla extract by the ferric-reducing antioxidant power test (FRAP), and the EAFA extract showed more potent NO free radical scavenging activity than the 70% methanol amla extract. In this study, phytochemical constituents were identified by UPLC-Q-TOF-MSE from the EAFA extract, as a result, major compounds were quantified by using UPLC-MS/MS analysis. In the present in vivo study, treated with EAFA extract 100 mg/kg BW from postnatal day13 (PND13) to PND 40 against VPA-induced postnatal autism (VPA single dose 400 mg/kg BW s.c. PND 14). All experimental groups were subjected to batteries of behavioural parameters from PND 23 to PND 40, and all animals were sacrificed on PND 41. The brain was isolated for further analysis, such as biochemical analysis, pro-inflammatory markers, histopathological analysis, IHC and western blot analysis. The VPA-alone group showed significantly increased the disease hallmarks in autism-like disease markers and pathogenesis compared to the control group. Our study highlights the protective effect of EAFA extract on improving behavioural alterations, significantly restore the anti-oxidative enzymes such as GST, GR and reduced the MDA and NO levels. Furthermore, the EAFA treated group significantly lowering the pro-inflammatory markers (IL-1β and TNF-α), and the expression of up-regulated 5-HT1D, 5-HT2A, and D2 receptor proteins. Based on histopathological studies, the percentage of neuronal injury in the EAFA-treated group was reduced. According to this study's findings, EAFA extract's ameliorating activity is due to its anti-oxidant and neuroprotective efficacy against VPA-induced autism.
Comparative study on the magnetic properties of Fe-substituted Co2Sn1-xFexO4 spinel oxides and its exchange bias effect
Authors: Ali Wajahat , Xinghan Chen , Hongxia Yin , Zhilong Zheng , Songliu Yuan 
Published: September 2023

Abstract

Herein, we report the Fe-substituted Co2Sn1 − xFexO4 (0 ≤ x ≤ 0.4) inverse spinel’s oxide using the solid-state reaction method. X-ray reveals the single-phase cubic structure with space group Fd3m. With increasing Fe in Co2Sn1 − xFexO4 spinel oxide, the transition temperature rise. The ac susceptibility at different frequencies also confirms a spin-glassy state at lower temperatures. The strong exchange bias effect appears in the sample having Fe substitution (x = 0.2) under the presence of constant temperature ~ 10 K. The high-temperature susceptibility of Curie-Wise fitting shows that the system changes from antiferromagnetic exchange (x < 0.2) to ferromagnetic exchange (x > 0.2).
Paremia: Proverb Geocoding and Linguistic Path Mining
Authors: Pavlopoulos John , Louridas Panos 
Published: September 2023

Abstract

Proverbs carry wisdom transferred orally from generation to generation. Based on the place they were recorded, this study organised more than one hundred thousand Greek proverbs into a machine-actionable dataset, which we analysed using linguistic distance as our lens. By focusing on the most widespread proverbs, our analysis showed that proverbs transferred not only over time but also spatially, existing exactly the same in different, far away locations. In order to study the travels of proverbs, we devised an algorithm based on the shortest linguistic path and the reverse triangular inequality, which we applied to the most widespread proverb, discussing our findings. By focusing on the least widespread proverbs, we benchmarked geographical attribution, using text classification and text geocoding. Our classification results showed that although this is a challenging task (33% in macro-averaged F1), proverbs of specific areas can be attributed with more than 80% F1. They also showed that in this task, transformer-based transfer learning can be outperformed by standard machine learning on top of frequency-based features. The same finding stands for the relatively easier latitudinal prediction in proverb geocoding. Finally, by using important features as a means, we presented words moving our regression predictions toward the east, west, south, and north.