bluuebunny/crossref_metadata_2025_split huggingface dataset:
The thickness of the ventral medial prefrontal cortex (vmPFC) predicts the self-prioritization effect (SPE) on the interaction between spatial reference frames and spatial domains
Authors: Huang Jie , Tang Xiaoyu , Wang Aijun , Zhang Ming 
Published: October 2021

Abstract
Neuropsychological studies have demonstrated that the preferential processing of near-space and egocentric representation is associated with the self-prioritization effect (SPE). However, relatively little is known concerning whether the SPE is superior to the representation of egocentric frames or near-space processing in the interaction between spatial reference frames and spatial domains. The present study adopted the variant of the shape-label matching task (i.e., color-label) to establish an SPE, combined with a spatial reference frame judgment task, to examine how the SPE leads to preferential processing of near-space or egocentric representations. Surface-based morphometry analysis was also adopted to extract the cortical thickness of the ventral medial prefrontal cortex (vmPFC) to examine whether it could predict differences in the SPE at the behavioral level. The results showed a significant SPE, manifested as the response of self-associated color being faster than that of stranger-associated color. Additionally, the SPE showed a preference for near-space processing, followed by egocentric representation. More importantly, the thickness of the vmPFC could predict the difference in the SPE on reference frames, particularly in the left frontal pole cortex and bilateral rostral anterior cingulate cortex. These findings indicated that the SPE showed a prior entry effect for information at the spatial level relative to the reference frame level, providing evidence to support the structural significance of the self-processing region. The present study also further clarified the priority in SPE processing and role of the SPE within the real spatial domain.
Serum Leukocyte Cell-derived Chemotaxin 2 (LECT2) Level is Associated with Osteoporosis
Authors: Wang Qiang , Xu Feng , He Wen-Ming M. , Chen Jiong , Xie Yan-Qing , Xu Su-Lin 
Published: October 2021

Abstract
BackgroundPrevious studies have shown that leukocyte cell-derived chemotaxin 2 (LECT2), a hepatokine, is associated with obesity and non-alcoholic fatty liver disease (NAFLD). It is well known that hepatokines play important roles in mediating interactions among bone, adipose tissue, and liver. We sought to examine serum LECT2 levels in subjects with osteoporosis (OP) to confirm its association with OP.MethodsFrom March 2019 to March 2020, a total of 96 adult subjects (52 OP patients and 44 controls) visiting the 2nd Spine Department of the Affiliated Hospital of School of Medicine of Ningbo University were recruited. The bone mineral density (BMD) of all subjects were assessed by dual-energy X-ray (DXA). Blood samples were collected for measurements of high-sensitivity C-reactive protein (hs-CRP), plasma glucose (PG), alanine aminotransferase (ALT), aspartate aminotransferase (AST), total cholesterol (TC), triglycerides (TG), creatinine and uric acid. Serum LECT2 levels of total 96 participants were measured by enzyme linked immunesorbent assay (ELISA). The relationships between serum LECT2 levels and biomedical parameters were analyzed using the Spearman correlation coefficient.ResultsSerum LECT2 levels in OP patients were significantly higher than that of healthy controls (29.57 ng/mL VS 19.82 ng/mL, P < 0.01). To confirm the role LECT2 played in OP, we found a significantly negative correlation in all subjects between serum levels of LECT2 and lumbar BMD, as well as femoralneck BMD. A significantly positive correlation in all was observed between serum levels of LECT2 and TC, whereas there was a significantly negative correlation between serum levels of LECT2 and creatinine. Meanwhile, serum LECT2 levels were measured to diagnose OP patient by plotting receiver-operating characteristic (ROC) curve, the area under the ROC curve was 0.729(P < 0.01). The optimal cutoff point for LECT2 concentration to diagnose OP patient was 16.44 ng/mL.ConclusionsWe showed that serum LECT2 levels were significantly up-regulated in OP patients, and LECT2 levels were significant positively associated with total cholesterol and negatively associated with creatinine. It could be a potential biomarker for OP diagnosis.
miR-1273h-5p Suppresses the Penetration and Pervasion of Gastric Cancer Cells via Suppressing CXCL12 Expression
Authors: Wang Yi-Chen , Lu Song , Zhou Xiao-Jiang , Yang Li , liu ping , Zhang Lan , Hu Yuan , Dong Xian-Zhe 
Published: October 2021

Abstract
Purpose: microRNAs (miRNAs), which may function as oncogenes or tumor suppressors, have been verified in the development of breast carcinoma, melanoma, and some other tumors. The dysregulated miR-1273h-5p in tissue samples of gastric cancer (GC) may be involved in the progression of GC. The aim of this study was to verify the biological function of miR-1273h-5p in GC progression.Method: The differential expression of microRNAs between GC and tumor-adjacent normal tissues was detected by microarrays, and polymerase chain reaction (PCR) analysis was used for miR-1273h-5p and chemokine (C-X-C motif) ligand 12 (CXCL12) mRNA expressions. The effect of miR-1273h-5p on cell proliferation and apoptosis was evaluated by CCK-8 assay and flow cytometry; cell migration and invasion were observed by using the transwell method. In addition, protein levels were determined by Western blot. SGC-7901 cell transfected gene sequences were injected into BALB/c-nu mice to establish a xenograft model in order to validate the biological function of miR-1273h-5p in vivo.Results: Compared to tumor-adjacent normal tissue and GES-1 cells, miR-1273h-5p was significantly down-regulated in tissues and cells of GC. The overexpression of miR-1273h-5p could inhibit cell proliferation, migration, invasion, and promote cell apoptosis; in contrast, inhibition of miR-1273h-5p expression could reverse this process. Moreover, a significant up-regulation of CXCL12 was observed when the miR-1273h-5p was down-regulated in GC cells. Additionally, tumor tissues were collected from mice after 21 days of feeding, revealing that miR-1273h-5p significantly reduces tumor volume and tumor weight. Conclusions: miR-1273h-5p regulates cell proliferation, migration, invasion, and apoptosis during GC progression by directly binding to CXCL12 mRNA 3'-UTR, thus can be used as a potential diagnostic and a novel therapeutic target for GC in clinical practice.
Oldest Leaf-Mine Trace Fossil from East Asia and Stoichiometric Footprint: Insight Into Ancient Nutritional Flow in a Plant–Herbivore Interaction
Authors: Imada Yume , Oyama Nozomu , Shinoda Kenji , Takahashi Fumio , Yukawa Hirokazu 
Published: October 2021

Abstract
The Late Triassic saw a flourish of plant–arthropod interactions. By the Late Triassic, insects had developed all distinct strategies of herbivory, notably including some of the earliest occurrences of leaf-mining. Herein we describe exceptionally well-preserved leaf-mine trace fossils on a Cladophlebis fern pinnule from the Momonoki Formation, Mine Group, Japan (Middle Carnian), representing the oldest unequivocal leaf-mines from East Asia. The mines all display a distinctive frass trail – a continuous meandering line, which later becomes a broad blotch containing spheroidal particles – demonstrating larval development. The shapes of these mines generally resemble those of nepticuloid moths, although they are absent from extant fern-mining assemblages. Furthermore, elemental analyses by X-ray fluorescence (XRF) reveals that the frass trail comprises phosphate coprolites. The quantitative variations in P, S, and Si between coprolites and leaf veins may reflect physiological processes (consumption, absorption, and excretion) mediated by plant chemicals. Our findings reinforce the idea that leaf-mining had become a pervasive feeding strategy of herbivorous insects by the Late Triassic.
Chitosan Oligomer and Zinc Oxide Nanoparticles for Treating
Wastewaters: US20190134086 Patent Evaluation
Authors: Valverde Fernanda Guimarães , Droppa-Almeida Daniela , Padilha Francine Ferreira 
Published: October 2021

:
With the utilisation of algae, wastewater reuse is becoming a viable option
for the energy industry, especially green energy. The growth of these algae
in these wastewaters provides an alternative source for bioenergetics, however,
the growth of other microorganisms can directly affect the production of bioenergy,
requiring the removal and reduction of contaminants in these waters, in addition
to being a source of contamination for workers. Therefore, the use of nanoparticles
in bioremediation has been an alternative to mitigate the contamination
of these wastewaters that have microorganisms capable of reducing the algae
growth capacity. The objective of this work was to verify in the United States Patent
and Trademarker office database (USPTO) patents that used chitosan nanoparticles
as a form of wastewater treatment and to carry out the analysis of patent
US20190134086, which addresses the use of zinc oxide nanoparticles associated
with chitosan that was developed and used to evaluate their antibacterial activity
against resistant microorganisms and biofilm producers present in wastewater.
Escherichia coli, Enterococcus faecium, and/or Pseudomonas aeruginosa are the
microorganisms involved in the evaluated invention, bacteria present in the gastrointestinal
tract, of clinical and environmental importance. The synthesized
nanoparticles are arranged as a pharmaceutically acceptable and toxic vehicle
against resistant bacteria, thus being described as nanoremediators. Given the analyzed
patent, it was possible to verify the importance of alternatives to reduce
the impact that pollution, in general, has on the environment, in addition to the
proposed technology serving to maintain the survival and development capacity
of the algae that will be able to produce green energy, the nanoparticles with
antibacterial potential can help indirectly reduce these pathogenic strains with resistance
to several antibiotics in the environment.
Machine Learning–Based Predictive Modeling of Anxiety and Depressive Symptoms During 8 Months of the COVID-19 Global Pandemic: Repeated Cross-sectional Survey Study
Authors: Hueniken Katrina , Somé Nibene Habib , Abdelhack Mohamed , Taylor Graham , Elton Marshall Tara , Wickens Christine M , Hamilton Hayley A , Wells Samantha , Felsky Daniel 
Published: October 2021

Background
The COVID-19 global pandemic has increased the burden of mental illness on Canadian adults. However, the complex combination of demographic, economic, and lifestyle factors and perceived health risks contributing to patterns of anxiety and depression has not been explored.

Objective
The aim of this study is to harness flexible machine learning methods to identify constellations of factors related to symptoms of mental illness and to understand their changes over time during the COVID-19 pandemic.

Methods
Cross-sectional samples of Canadian adults (aged ≥18 years) completed web-based surveys in 6 waves from May to December 2020 (N=6021), and quota sampling strategies were used to match the English-speaking Canadian population in age, gender, and region. The surveys measured anxiety and depression symptoms, sociodemographic characteristics, substance use, and perceived COVID-19 risks and worries. First, principal component analysis was used to condense highly comorbid anxiety and depression symptoms into a single data-driven measure of emotional distress. Second, eXtreme Gradient Boosting (XGBoost), a machine learning algorithm that can model nonlinear and interactive relationships, was used to regress this measure on all included explanatory variables. Variable importance and effects across time were explored using SHapley Additive exPlanations (SHAP).

Results
Principal component analysis of responses to 9 anxiety and depression questions on an ordinal scale revealed a primary latent factor, termed “emotional distress,” that explained 76% of the variation in all 9 measures. Our XGBoost model explained a substantial proportion of variance in emotional distress (r2=0.39). The 3 most important items predicting elevated emotional distress were increased worries about finances (SHAP=0.17), worries about getting COVID-19 (SHAP=0.17), and younger age (SHAP=0.13). Hopefulness was associated with emotional distress and moderated the impacts of several other factors. Predicted emotional distress exhibited a nonlinear pattern over time, with the highest predicted symptoms in May and November and the lowest in June.

Conclusions
Our results highlight factors that may exacerbate emotional distress during the current pandemic and possible future pandemics, including a role of hopefulness in moderating distressing effects of other factors. The pandemic disproportionately affected emotional distress among younger adults and those economically impacted.
Educação do Campo em tempos de pandemia em Bom Jesus da Lapa-BA: impactos, desafios e percepções
Authors: Sousa Ruth de Oliveira , Moreira Antônio Domingos , Santos Arlete Ramos dos 
Published: October 2021

Resumo: O presente artigo tem por objetivos discutir os desafios, impactos e as possibilidades da Educação do Campo no município de Bom jesus da Lapa, Bahia, com a chegada da pandemia da Covid-19 e a retomada do ensino emergencial. Nesse sentido, analisamos os impactos da utilização das tecnologias educacionais por meio do ensino remoto nas atividades escolares do campo de Bom Jesus da Lapa. Para isso, foi realizado um estudo sobre a Educação do Campo em tempos de Covid-19, observando os regimentos legislativos, bem como a regulamentação educacional com a propagação do novo Coronavírus. O percurso metodológico se deu a partir de questionários, aplicados entre os dias 16 a 25 de junho de 2021, por meio de uma plataforma de comunicação virtual, o (e-mail) e teve como respondentes os profissionais da Educação do Campo, envolvidos no processo metodológico/pedagógico (06 Professores) e um gestor escolar (01 Diretor). Os resultados da pesquisa constataram carências nos investimentos de políticas públicas educacionais e, principalmente, na Educação do Campo. Além disso, está claro a predominância da precarização do trabalho docente, por meio de cargas horárias excessivas, saúde emocional abalada, ausência do estado em proporcionar condições básicas para que as aulas remotas aconteçam em um momento tão caótico que o sistema determina.
Numerical Study on the Effect of 185/65R14 Tire Rim Width on Dynamic Performance of a B Class Vehicle Model
Authors: Vaseli Shahab , Esfahanian Mohsen 
Published: October 2021

ABSTRACT
In this study, the effect of a passenger car radial tire rim width on its force and moment characteristics (behavior) and subsequently on a vehicle dynamic performance is investigated. The study on the sensitivity of tire behavior to changing its rim width was carried out using the finite element method with the help of Abaqus. For this purpose, the finite element models of a 185/65R14 tire with two rim widths of 5.5″ and 6″ were created and compared in terms of steady-state longitudinal, steady-state lateral, transient longitudinal, and transient lateral behavior, by simulation of stiffness measuring and slip tests. To investigate the effect of rim width on vehicle dynamic performance, several road tests were simulated using a full vehicle dynamic model from CarSim. In each test, at least one of the parameters associated with the discussion of vehicle dynamic performance evaluation including brake distance, understeer gradient, vehicle slip angle, lateral deviation, and roll angle is measured. The vehicle model used is one of the B class instant vehicle models from CarSim, for which this tire size is appropriate. For all subsystems except tires, the same default values were used. For tires, the Pacejka 5.2 tire model is used. Numerical values of the coefficients of this tire model are calculated by fitting the curves of the tire forces and moments obtained from the finite element simulation of required tire tests. The results of the road test simulations have shown that the vehicle with the narrower rim has the better braking ability, but its other behavioral aspects are weaker.
Application of Transient- and Steady-State Acceleration Signals in Intelligent Tires
Authors: Zhao Tong , Liang Guanqun , Wang Yan , Wei Yintao 
Published: October 2021

ABSTRACT
The accelerometer-based intelligent tire has gained focus in recent years for its ability to obtain both kinematics and dynamics-related information of the tire. This paper extends the previous steady-state applications of acceleration signals, which mainly estimate tire force, sideslip, and friction coefficient from the steady-state features of acceleration waveforms, to transient acceleration applications. By using the proposed tire mixed Euler–Lagrange rolling model, it is analytically demonstrated that tire rolling acceleration can be decomposed into steady-state and transient-state components from the perspective of kinematics. It is hard to analyze the transient-state component theoretically or split it from the measured signals on real road surfaces; thus, a learning-based algorithm is developed to automatically extract discriminative features without any physical models. With this method, essential information associated with tire transient acceleration could be inferred to help improve driving safety and performance.
As the application, tire wear identification with an artificial neural network is validated to be feasible based on complete acceleration signals. The prediction accuracy reaches 98.2% under different test conditions. The proposed acceleration formation mechanism is proved to be effective in explaining tire rolling acceleration as well as guiding to acquire vital information about the tire to improve vehicle safety and performance.
Effect of Different Road Obstacles on the Structural Behavior of a Honeycomb Nonpneumatic Tire
Authors: Ashofteh Afshin , Shahdadi Amirhossein 
Published: October 2021

ABSTRACTThe nonpneumatic tire (NPT), as the name suggests, is a type of tire that does not use air to support the load. Because of their outstanding advantages, such as durability and low rolling resistance, these tires have attracted much interest. The study of NPTs has drawn considerable recent attention, and some research was conducted to investigate their mechanical response. However, these studies did not consider an analysis of an NPT against obstacles. Therefore, in this article, the static and dynamic behaviors of an NPT with honeycomb structures rolling over different obstacles are investigated using numerical simulation. The flexible spokes, which are the most important part of NPTs, are assumed to have a honeycomb structure with the same cell wall thickness and angle. Based on the mesostructures hypothesis, these spokes are considered to be made of polyurethane material. To perform a more precise analysis, various parameters such as nonlinear properties of the material and contact condition are taken into account to establish the finite element model. The results, which can be used as a benchmark and are suitable for design purposes, are presented elaborately.
Self-Excited Full-Vehicle Oscillations Caused by Tire–Road Interaction: Virtual and Real-World Experimental Investigation
Authors: Engel Dirk 
Published: October 2021

ABSTRACTIn this article, self-excited full-vehicle oscillations (power-hops) are introduced. Initially, results of full-vehicle measurements are shown followed by the presentation of a specially build test rig (longitudinal dynamics test rig). Subsequently, these oscillations are investigated by using simulation-based tools within multibody simulation–related full-vehicle modeling. Tire–road interaction is evaluated in this process either by characteristic curves or by a proprietary quasistatic tire model that returns overall tangential forces by evaluating the state of every discretized element within the footprint area.
Research on the Contradiction Mechanism of Tire Rolling Resistance and Grip Performance
Authors: Liang Chen , Li Haowen , Wang Guolin , Yu Kangying 
Published: October 2021

ABSTRACTIn order to clarify the contradictory mechanism between tire rolling resistance and grip performance, 10 205/55 R16 radial tires with different tread patterns were selected as the research objects. Based on digital image correlation method, the pressure and deformation distribution in the contact area of test tires were obtained and the relevant grounding parameters were extracted. The partial least square regression (PLSR) method was used to establish the relationship between the identified grounding parameters and tire performance indicators. Using the bootstrap resampling method, the significance test of the PLSR coefficients were carried out, and the grounding characteristic parameters with significant explanatory effect on the performances were selected, identifying the main function area for the two performances. The results show that in order to improve the grip performance of the tire, it is necessary to reduce the transverse tensile strain of the tread in the contact area and increase the longitudinal tensile strain of the tread; but, with the increase of the longitudinal tensile strain, the rolling resistance of the tire will also increase, which leads to the contradiction between tire rolling resistance and grip performance.
Pengembangan Model Pembelajaran Aktivitas Jasmani Melalui Permainan Tradisional bagi Siswa Sekolah Dasar
Authors: Lestari Dyah Frika 
Published: October 2021

Pada penelitian ini bertujuan untuk (1). Menghasilkan model pengembangan pembelajaran berbasis aktivitas jasmani dalam karakter disiplin yang disajikan sesuai dengan tema pembelajaran kelas III SD, (2) Menguji keterlaksanaan model pengembangan pembelajaran berbasis aktivitas jasmani dalam karakter disiplin yang disajikan sesuai dengan tema pembelajaran kelas III sekolah dasar, (3) Menguji ketertarikan peserta didik terhadap model pengembangan pembelajaran berbasis aktivitas jasmani dalam karakter disiplin yang disajikan sesuai dengan tema pembelajaran kelas III sekolah dasar. Teknik pengumpulan data menggunakan pedoman observasi Pengumpulan data yaitu dengan observasi, terhadap pembelajaran Pendidikan Jasmani di SD N Sendangmulyo 01 Semarang Kelas III, Wawancara kepada guru Pendidikan PJOK,studi dokumentasi, angket atau kuisioner, rekaman vidio kegiatan pembelajaran ketika dilapangan kemudian di konversikan ke data pengembangan kualitatif. Subjek penelitian adalah siswa kelas III di SD N 01 Sendangmulyo Semarang. Penelitian ini menunjukkan bahwa hasil validasi yang dilakukan diperoleh persentase rata-rata penilaian sebesar 85,25% diterima dengan baik. Berdasarkan hasil peneltian dan pembahasan dapat disimpulkan bahwa model pembelajaran aktivitas jasmani melalui permainan tradisional bagi siswa sekolah dasar dapat meningkatkan rasa senang dan percaya diri pada siswa.
Perkembangan Kecerdasan Logika Matematika Melalui Renang Artistik
Authors: Danardani Wasti , Soegiyanto Soegiyanto , Setijono Hari , Sulaiman Sulaiman 
Published: October 2021

Tujuan penelitian adalah melihat perkembangan kecerdasan logical-matematika pada atlet renang artistik sebagai efek dari hasil latihan yang dijalani. Cabor renang artistik merupakan olahraga yang tidak terukur dengan tingkat subjektifitas tinggi. Menampilkan keterampilan gerak, musik pengiring, dan keselarasan diantaranya. Penelitian ini menggunakan metode grounded theory kualitatif. Metode pengumpulan data dalam penelitian ini melalui catatan lapangan, wawancara kepada informan dengan mencatat dan mencatat informasi. Subjek penelitian adalah anggota tim nasional terdiri dari 10 perenang berusia 12-24 tahun. Hasil peneitian Keterampilan gerak perkembangan kognitif khususnya ingatan terkini. Kekhasan tampilan renang artistik dapat membantu perkembangan kecerdasan logika –matematika pada perenang artistic.