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BackgroundThe COVID-19 pandemic has become a global public health event, attracting worldwide attention. As a tool to monitor public awareness, internet search engines have been widely used in public health emergencies. ObjectiveThis study aims to use online search data (Baidu Index) to monitor the public’s attention and verify internet search engines’ function in public attention monitoring of public health emergencies. MethodsWe collected the Baidu Index and the case monitoring data from January 20, 2020, to April 20, 2020. We combined the Baidu Index of keywords related to COVID-19 to describe the public attention’s temporal trend and spatial distribution, and conducted the time lag cross-correlation analysis. ResultsThe Baidu Index temporal trend indicated that the changes of the Baidu Index had a clear correspondence with the development time node of the pandemic. The Baidu Index spatial distribution showed that in the regions of central and eastern China, with denser populations, larger internet user bases, and higher economic development levels, the public was more concerned about COVID-19. In addition, the Baidu Index was significantly correlated with six case indicators of new confirmed cases, new death cases, new cured discharge cases, cumulative confirmed cases, cumulative death cases, and cumulative cured discharge cases. Moreover, the Baidu Index was 0-4 days earlier than new confirmed and new death cases, and about 20 days earlier than new cured and discharged cases while 3-5 days later than the change of cumulative cases. ConclusionsThe national public’s demand for epidemic information is urgent regardless of whether it is located in the hardest hit area. The public was more sensitive to the daily new case data that represents the progress of the epidemic, but the public’s attention to the epidemic situation in other areas may lag behind. We could set the Baidu Index as the sentinel and the database in the online infoveillance system for infectious disease and public health emergencies. According to the monitoring data, the government needs to prevent and control the possible outbreak in advance and communicate the risks to the public so as to ensure the physical and psychological health of the public in the epidemic.

Background: Zoomorphism, an obverse of conventional anthropomorphism, has been shown in many cases to be a powerful tool with respect to the metaphorical use of animals. Objectives: This study introduced zoomorphism into the instructional video design of pedagogical agents (PAs). Method: We first developed three image sets, each of which corresponded to a type of zoomorphic PA image construct (full panda, a human face with a panda body, and a human body with panda head imagery). Then, we conducted an image-screening experiment in which 177 second-grade students from a primary school were asked to select their favourite PA image for each image construct set. We used a realistic human PA as the baseline. Next, 114 second-grade students from another school were randomly assigned to learn instructional videos on the topic of pandas using a PA with one of four imageries. Results and Conclusions: ANOVA and Kruskal-Wallis tests indicated that students presented with PAs with full-panda imagery achieved significantly higher learning performance, learning experience, social presence, and learning interest than those presented with other imageries of PAs. The regression results showed that the effect of zoomorphic PAs with full-panda imagery on learning performance was exerted in a direct way and that its effect on learning experience was mediated by social presence and learning interest. Implications: Our findings suggest that zoomorphic appearance is an essential quality for video learning that merits further investigation for the efficient imagery construction of PAs.

Understanding the relationship between the fabrication process and the dielectric behavior of thermo-responsive dielectric materials and accordingly optimizing the dielectric response behavior through simple regulation is critical to advancing their practical applications. For this purpose, we systematically analyze and demonstrate the effects of blow-spinning process parameters, the feed rate and airflow pressure, on the orientation of poly(vinylidene fluoride) (PVDF) chains, the individual phase fractions of PVDF, the structure of the core-sheath nanofibers, the mechanical properties, and the dielectric pulsing properties in polyethylene glycol (PEG)-PVDF core-sheath fiber films, and achieve the goal of effectively regulating the thermo-responsive dielectric behavior. In particular, by increasing the airflow pressure, the polar phase fraction of the PVDF can be effectively increased, thus strengthening the dielectric pulsing effect. The significant influence of the processing parameters on the nanofiber structure also allows us to tailor the strength and toughness of the nanofiber films over a wide range by adjusting the feed rate and airflow pressure. Our work shows that the regulation of feed rate and airflow pressure can be used as an effective strategy to optimize the dielectric pulsing and mechanical properties of PEG-PVDF films, enabling a simple and low-cost performance optimization of thermo-responsive dielectric materials. Highlights * Effective regulation of thermal dielectric behavior by tuning process parameters. * Simple tuning of mechanical properties of nanofiber films over a wide range. * High ratio of [beta]- and [gamma]-phases of PVDF by solution blow spinning. * Major polar phases contribute to improved mechanical and dielectric properties. KEYWORDS blow spinning, coaxial nanofiber, dielectric pulse, processing, PVDF, 1 | INTRODUCTION Nowadays, electrical energy storage and conversion, sensing, information storage, and communication are the most important actual and potential applications for dielectric materials. (1-6) In particular, electrical energy [...]

Abstract Background Spermatogonial stem cells (SSCs) are the foundation cells for continual spermatogenesis and germline regeneration in mammals. SSC activities reside in the undifferentiated spermatogonial population, and currently, the molecular identities of SSCs and their committed progenitors remain unclear. Results We performed single-cell transcriptome analysis on isolated undifferentiated spermatogonia from mice to decipher the molecular signatures of SSC fate transitions. Through comprehensive analysis, we delineated the developmental trajectory and identified candidate transcription factors (TFs) involved in the fate transitions of SSCs and their progenitors in distinct states. Specifically, we characterized the Asingle spermatogonial subtype marked by the expression of Eomes. Eomes+ cells contained enriched transplantable SSCs, and more than 90% of the cells remained in the quiescent state. Conditional deletion of Eomes in the germline did not impact steady-state spermatogenesis but enhanced SSC regeneration. Forced expression of Eomes in spermatogenic cells disrupted spermatogenesis mainly by affecting the cell cycle progression of undifferentiated spermatogonia. After injury, Eomes+ cells re-enter the cell cycle and divide to expand the SSC pool. Eomes+ cells consisted of 7 different subsets of cells at single-cell resolution, and genes enriched in glycolysis/gluconeogenesis and the PI3/Akt signaling pathway participated in the SSC regeneration process. Conclusions In this study, we explored the molecular characteristics and critical regulators of subpopulations of undifferentiated spermatogonia. The findings of the present study described a quiescent SSC subpopulation, Eomes+ spermatogonia, and provided a dynamic transcriptional map of SSC fate determination.

PK-12 leaders use gender- and sexuality-inclusivity professional development (IPD) as a tool to improve the school climate for LGBTQ+ students, but IPD programs vary widely in their scope, breadth, duration, instructional approach, and content. In this paper, we present the IPD conceptual framework, which proposes a sustained, intensive, and expansive approach to PD can influence student outcomes through changes in educators' beliefs, attitudes, skills, and knowledge concerning gender and sexuality. Using a large, Midwestern school district as a case study, we examine characteristics of schools participating in an intensive IPD program and whether participation contributed to school disciplinary rates. Using 2018-2019 administrative and program data from the district and state department of instruction, we: (1) describe demographic and program differences between IPD and non-IPD schools, and (2) evaluate the contribution of IPD on disciplinary outcomes using OLS regression analysis controlling for selection characteristics. Our analysis reveals less racial and ethnically-diverse and better financially-resourced schools participate in the IPD program. The regression analysis suggests schools participating in IPD have lower suspension rates, assault rates, and endangering behavior rates compared to non-IPD schools. Several studies indicate supportive leaders and IPD improves school climates for LGBTQ+ students; however, quantitative descriptions of how IPD may influence student behavior remain scarce. Policymakers and educational leaders may be interested in this study's results suggesting a decrease in disciplinary actions among schools committed to IPD with core components of the IPD framework.

Speech processing requires extracting meaning from acoustic patterns using a set of intermediate representations based on a dynamic segmentation of the speech stream. Using whole brain mapping obtained in fMRI, we investigate the locus of cortical phonemic processing not only for single phonemes but also for short combinations made of diphones and triphones. We find that phonemic processing areas are much larger than previously described: they include not only the classical areas in the dorsal superior temporal gyrus but also a larger region in the lateral temporal cortex where diphone features are best represented. These identified phonemic regions overlap with the lexical retrieval region, but we show that short word retrieval is not sufficient to explain the observed responses to diphones. Behavioral studies have shown that phonemic processing and lexical retrieval are intertwined. Here, we also have identified candidate regions within the speech cortical network where this joint processing occurs.

High-quality rice flour is the foundation for the production of various rice-based products. Milling is an essential step in obtaining rice flour, during which significant changes occur in the physicochemical and quality characteristics of the flour. Although rice flour obtained through mainstream wet milling methods exhibits superior quality, low production efficiency and wastewater discharge limit the development of the industry. Dry milling, on the other hand, conserves water resources, but adversely affects flour performance due to excessive heat generation. As an emerging powder-making technique, semi-dry milling offers a promising solution by enhancing flour quality and reducing environmental impact. This is achieved by minimizing soaking time through hot air treatment while reducing mechanical energy consumption to reach saturated water absorption levels. However, continuous production remains a challenge. This comprehensive review summarizes the effects of various milling technologies on rice flour properties and product qualities. It also discusses key control indicators and technical considerations for rice flour processing equipment and processes.

RATIONALE: Vascular smooth muscle cells (VSMCs) phenotype switch from contractile to proliferative phenotype is a pathological hallmark in various cardiovascular diseases. Recently, a subset of long noncoding RNAs was identified to produce functional polypeptides. However, the functional impact and regulatory mechanisms of long noncoding RNAs in VSMCs phenotype switching remain to be fully elucidated. OBJECTIVES: To illustrate the biological function and mechanism of a VSMC-enriched long noncoding RNA and its encoded peptide in VSMC phenotype switching and vascular remodeling. RESULTS: We identified a VSMC-enriched transcript encoded by a previously uncharacterized gene, which we called phenotype switching regulator (PSR), which was markedly upregulated during vascular remodeling. Although PSR was annotated as a long noncoding RNA, we demonstrated that the lncPSR (PSR transcript) also encoded a protein, which we named arteridin. In VSMCs, both arteridin and lncPSR were necessary and sufficient to induce phenotype switching. Mechanistically, arteridin and lncPSR regulate downstream genes by directly interacting with a transcription factor YBX1 (Y-box binding protein 1) and modulating its nuclear translocation and chromatin targeting. Intriguingly, the PSR transcription was also robustly induced by arteridin. More importantly, the loss of PSR gene or arteridin protein significantly attenuated the vascular remodeling induced by carotid arterial injury. In addition, VSMC-specific inhibition of lncPSR using adeno-associated virus attenuated Ang II (angiotensin II)-induced hypertensive vascular remodeling. CONCLUSIONS: PSR is a VSMC-enriched gene, and its transcript IncPSR and encoded protein (arteridin) coordinately regulate transcriptional reprogramming through a shared interacting partner, YBX1. This is a previously uncharacterized regulatory circuit in VSMC phenotype switching during vascular remodeling, with lncPSR/arteridin as potential therapeutic targets for the treatment of VSMC phenotype switching-related vascular remodeling.