Achieving optimal implant restoration hinges on both robust osseointegration as the structural foundation and favorable osseoperception for advanced masticatory function. The significance of nerve ...innervation in the peri‐implant environment as the cornerstone of osseointegration and osseoperception is often underestimated. Despite the integral role of endogenous electric fields (EFs) in the human body, particularly in electrosensitive tissues like nerve tissue, the current approach involving external electrical stimulation is invasive and not clinically applicable. The present study introduces a conductive hydrogel designed to respond to endogenous EFs, aiming to foster nerve regeneration around dental implants to coordinate both osseointegration and osseoperception. The hydrogel promotes neurite outgrowth by upregulating intracellular Ca2+ concentration and activating subsequent pathways. Furthermore, the enhanced release of neuropeptides from neurocells improves the osteogenesis of osteoblasts. The impact of the conductive hydrogel on osseointegration and osseoperception is also thoroughly investigated in vivo. This conductive hydrogel represents a unique strategy for enhancing osseointegration and osseoperception within the endogenous EFs of the peri‐implant environment. This advancement opens the door to achieving the physiological and psychological integration of dental implants.
The decreased osseoperception results in excessive forces exerted on the implant. This brings about a high failure rate of implant fracture or aggressive bone loss. Here an injectable conductive hydrogel is developed to promote nerve regeneration in the peri‐implant environment under endogenous electric field. The promotion of nerve regeneration enhances osseoperception and osseointegration simultaneously in vivo.
Manipulating ferroic orders and realizing their coupling in multiferroics at room temperature are promising for designing future multifunctional devices. Single external stimulation has been ...extensively proved to demonstrate the ability of ferroelastic switching in multiferroic oxides, which is crucial to bridge the ferroelectricity and magnetism. However, it is still challenging to directly realize multi‐field‐driven magnetoelectric coupling in multiferroic oxides as potential multifunctional electrical devices. Here, novel magneto–electric–optical coupling in multiferroic BiFeO3‐based thin films at room temperature mediated by deterministic ferroelastic switching using piezoresponse/magnetic force microscopy and aberration‐corrected transmission electron microscopy are shown. Reversible photoinduced ferroelastic switching exhibiting magnetoelectric responses is confirmed in BiFeO3‐based films, which works at flexible strain states. This work directly demonstrates room‐temperature magneto–electric–optical coupling in multiferroic films, which provides a framework for designing potential multi‐field‐driven magnetoelectric devices such as energy conservation memories.
The magneto–electric–optical coupling is realized in multiferroic BiFeO3‐based films at room temperature by engineering ferroelastic switching. The reversible ferroelastic switching is ubiquitous in BiFeO3‐based films with flexible strain states and domain patterns, which is determined by the photoinduced electric field and symmetry mismatch in films. This work provides a framework for multi‐field‐driven magnetoelectric memories with low power consumption.
State-of-art quantum key distribution (QKD) systems are performed with several GHz pulse rates, meanwhile privacy amplification (PA) with large scale inputs has to be performed to generate the final ...secure keys with quantified security. In this paper, we propose a fast Fourier transform (FFT) enhanced high-speed and large-scale (HiLS) PA scheme on commercial CPU platform without increasing dedicated computational devices. The long input weak secure key is divided into many blocks and the random seed for constructing Toeplitz matrix is shuffled to multiple sub-sequences respectively, then PA procedures are parallel implemented for all sub-key blocks with correlated sub-sequences, afterwards, the outcomes are merged as the final secure key. When the input scale is 128 Mb, our proposed HiLS PA scheme reaches 71.16 Mbps, 54.08 Mbps and 39.15 Mbps with the compression ratio equals to 0.125, 0.25 and 0.375 respectively, resulting achievable secure key generation rates close to the asymptotic limit. HiLS PA scheme can be applied to 10 GHz QKD systems with even larger input scales and the evaluated throughput is around 32.49 Mbps with the compression ratio equals to 0.125 and the input scale of 1 Gb, which is ten times larger than the previous works for QKD systems. Furthermore, with the limited computational resources, the achieved throughput of HiLS PA scheme is 0.44 Mbps with the compression ratio equals to 0.125, when the input scale equals up to 128 Gb. In theory, the PA of the randomness extraction in quantum random number generation (QRNG) is same as the PA procedure in QKD, and our work can also be efficiently performed in high-speed QRNG.
This research aims to explore the latent effect of elementary student engagement in a Spherical Video-based Virtual Reality (SVVR) environment for a school-based course on higher level competence ...development. Student engagement and higher level competence development were investigated using a valid sample of 324 students from five elementary schools in China. Factor analysis and Structural Equation Modeling (SEM) were used to analyze the data. The fitness of the items for each scale of the student engagement survey and higher level competence development survey indicated a sufficient fit and also confirmed the questionnaire's structure. The relevant factors of student engagement promote their higher level competence development in the model. The SEM analysis shows that student engagement has a significant positive impact on higher level competence development. The findings could be a good reference for those who intend to develop a specific topic of school-based courses on technology for fostering students' higher level competence development.
Acute lung injury (ALI) is characterized by inflammation of the lung tissue and oxidative injury caused by excessive accumulation of reactive oxygen species. Studies have suggested that ...anti-inflammatory or antioxidant agents could be used for the treatment of ALI with a good outcome. Therefore, our study aimed to test whether the mycelium extract of
(SS-1), believed to exhibit antioxidant and anti-inflammatory properties, could be used against the excessive inflammatory response associated with lipopolysaccharides (LPS)-induced ALI in mice and to investigate its possible mechanism of action. The experimental results showed that the administration of SS-1 could inhibit LPS-induced inflammation. SS-1 could reduce the number of inflammatory cells, inhibit myeloperoxidase (MPO) activity, regulate the TLR4/PI3K/Akt/mTOR pathway and the signal transduction of NF-κB and MAPK pathways in the lung tissue, and inhibit high mobility group box-1 protein 1 (HNGB1) activity in BALF. In addition, SS-1 could affect the synthesis of antioxidant enzymes Heme oxygenase 1 (HO-1) and Thioredoxin-1 (Trx-1) in the lung tissue and regulate signal transduction in the KRAB-associated protein-1 (KAP1)/nuclear factor erythroid-2-related factor Nrf2/Kelch Like ECH associated Protein 1 (Keap1) pathway. Histological results showed that administration of SS-1 prior to induction could inhibit the large-scale LPS-induced neutrophil infiltration of the lung tissue. Therefore, based on all experimental results, we propose that SS-1 exhibits a protective effect against LPS-induced ALI in mice. The mycelium of
can potentially be used for the treatment or prevention of inflammation-related diseases.
While flipped learning has attempted to explain the benefits of technology applied to educational settings, this study aims to validate research questions and test the theory of the learning ...strategies in flipped learning. A self-designed questionnaire, consisting of 17 critical indicators of online self-regulation, project-based learning and 5-competence development, was administered to collect data from 87 college students in China. The partial least squares structural equation modeling (PLS-SEM) was used to analyze the relative factors. The results indicated that an integrated model, combining online self-regulation and project-based learning, provided a marginally better explanatory power; project-based learning had a better prediction of 5-competence development than online self-regulation. An integrated model is proposed to detect the latent relationships among the data with structural equation modeling (SEM). The SEM provides a clear picture of the relations among the variables, and shows that online "Help seeking" in MOOC lecture videos and engagement in "Teamwork" in class are the key indicators of student engagement in flipped learning. This study adopted an innovative approach which emphasizes the diagnosis of students' engagement, and proposes an integrated model combining online self-regulation and project-based learning constructs for a theoretical framework to predict learning performance in flipped learning.
A group of clinically approved cancer therapeutic tyrosine kinase inhibitors was screened to test their effects on the expression of angiotensin-converting enzyme 2 (ACE2), the cell surface receptor ...for SARS-CoV-2. Here, we show that the receptor tyrosine kinase inhibitor imatinib (also known as STI571, Gleevec) can inhibit the expression of the endogenous ACE2 gene at both the transcript and protein levels. Treatment with imatinib resulted in inhibition of cell entry of the viral pseudoparticles (Vpps) in cell culture. In FVB mice orally fed imatinib, tissue expression of ACE2 was reduced, specifically in the lungs and renal tubules, but not in the parenchyma of other organs such as the heart and intestine. Our finding suggests that receptor tyrosine kinases play a role in COVID-19 infection and can be therapeutic targets with combined treatments of the best conventional care of COVID-19.
Edible bird's nest (EBN) is an expensive health food. There are many adulterants in the market. It remains challenging to discriminate EBN from its adulterants due to a lack of high-specificity ...markers. Besides, the current markers are confined to soluble fraction of EBN. Here, both soluble and insoluble fractions were analyzed by LC-QTOF-MS/MS. A total of 26 high-specificity peptides that were specific to EBN were selected as qualitative authentication markers. Among them, 10 markers can discriminate EBN from common adulterants, 13 markers discriminate white EBN from grass EBN/common adulterants, and 3 markers discriminate grass EBN from white EBN/common adulterants. Three of them, which showed high signal abundance (Peak area ≥ 10
) and satisfactory linearity (
≥ 0.995) with EBN references, were selected as the assay marker; and their peptide sequences were confidently identified by searching database/de novo sequencing. Based on these markers, a qualitative and quantitative analytical method was successfully developed and well-validated in terms of linearity, precision, repeatability, and accuracy. The method was subsequently applied to detect EBN products on the market. The results indicated that more than half of EBN products were not consistent with what the merchants claimed.
Donkey-hide gelatin, also called Ejiao (colla corii asini), is commonly used as a food health supplement and valuable Chinese medicine. Its growing popular demand and short supply make it a target ...for fraud, and many other animal gelatins can be found as adulterants. Authentication remains a quality concern. Peptide markers were developed by searching the protein database. However, donkeys and horses share the same database, and there is no specific marker for donkeys. Here, solutions are sought following a database-independent strategy. The peptide profiles of authentic samples of different animal gelatins were compared using LC-QTOF-MS/MS. Fourteen specific markers, including four donkey-specific, one horse-specific, three cattle-specific, and six pig-specific peptides, were successfully found. As these donkey-specific peptides are not included in the current proteomics database, their sequences were determined by de novo sequencing. A quantitative LC-QQQ multiple reaction monitoring (MRM) method was further developed to achieve highly sensitive and selective analysis. The specificity and applicability of these markers were confirmed by testing multiple authentic samples and 110 batches of commercial Ejiao products, 57 of which were found to be unqualified. These results suggest that these markers are specific and accurate for authentication purposes.
To determine the impact of cognitive style on change of concept of engagement in the flipped classroom, a sequential analysis from the perspective of Bloom's Taxonomy was conducted to establish if ...significant differences existed between the learning achievements and engagement of students with different cognitive styles. The participants were pre-service teachers who had registered for a school-based curriculum development methodology course in China, with a total of 53 students from two classes, who performed a total of 1,599 behaviors in the discussion sections. The results show that the concepts of "evaluate" (31.52%) and "analyze" (27.77%) were the two most frequent behaviors in the Bloom's Taxonomy. The "remember" and "evaluate" were the significant starting behaviors for all of the students; "remember" and "evaluate" were the significant starting behaviors for the intuitive-style students, while "understand" was a significant starting behavior for the analytical-style students. This confirms that the students with different cognitive styles implemented multiple strategies for learning. It is also found that the flipped learning promoted the students' achievement. The conclusions suggest that it is important to match the cognitive styles of students as well as the instructional methods in order to improve students' learning.
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