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Mesenchymal stem cell-based therapy has become an effective therapeutic approach for bone regeneration. However, there are still limitations in successful clinical translation. Recently, the secretome of mesenchymal stem cells, especially exosome, plays a critical role in promoting bone repair and regeneration. Exosomes are nanosized, lipid bilayer-enclosed structures carrying proteins, lipids, RNAs, metabolites, growth factors, and cytokines and have attracted great attention for their potential application in bone regenerative medicine. In addition, preconditioning of parental cells and exosome engineering can enhance the regenerative potential of exosomes for treating bone defects. Moreover, with recent advancements in various biomaterials to enhance the therapeutic functions of exosomes, biomaterial-assisted exosomes have become a promising strategy for bone regeneration. This review discusses different insights regarding the roles of exosomes in bone regeneration and summarizes the applications of engineering exosomes and biomaterial-assisted exosomes as safe and versatile bone regeneration agent delivery platforms. The current hurdles of transitioning exosomes from bench to bedside are also discussed.

To assess the efficacy of acceptance and commitment therapy (ACT) for patients with chronic pain. The research conducted a systematic search of the Cochrane Library, Web of Science, PubMed, EMBASE, PsycINFO, and Cumulative Index of Nursing and Allied Health Literature (CINAHL) databases following the PRISMA guidelines. The retrieval time limit was from the establishment of the database to October 2023. A meta-analysis was carried out for the randomized controlled trials (RCTs) that meet the inclusion and exclusion criteria by using RevMan 5.3. Twenty-one RCTs were included. At post-treatment, a significant medium effect size (ES) was found in measuring pain interference, functional impairment, pain acceptance, psychological inflexibility, and depression; Pain intensity, anxiety, and quality of life (QOL) had a small ES. At three months post-treatment, a large ES was found in measuring functional impairment, and a medium ES was found in the other indicators. The researchers provided evidence for the effectiveness of ACT as an intervention for patients with chronic pain, which can be applied by clinicians or nurses in practice. Future research should explore the applicability of ACT to different pain conditions and modalities. Post-treatment data highlight the efficacy of ACT in moderating pain-related outcomes. Clinical nurses are encouraged to incorporate ACT into routine patient education and interventions, including promoting pain acceptance, promoting mindfulness practices, and using cognitive stress reduction techniques. Standardized follow-up after an ACT intervention for patients with chronic pain is critical, including regular assessment, feedback, and realignment of treatment strategies. Overall, ACT became an important tool for nurses to improve the lives of patients with chronic pain.

The process of acquiring a second language is a complex undertaking that necessitates a multifaceted approach to instruction. Contemporary pedagogical strategies have increasingly emphasized interactive and communicative methods, recognizing the importance of engaging learners in meaningful and authentic use of the language. This article delves into the various instructional techniques that are currently favored in the field of second language education. Notably, the comprehensibility of input, which refers to the accessibility of language presented to learners, is paramount; methods designed to ensure that learners can understand and process language are essential for facilitating acquisition. Moreover, the aspect of learner interaction is scrutinized, as it is critical for providing L2 students with the opportunity to practice and develop their language skills in social contexts. Feedback mechanisms play an instrumental role in L2 learning, serving as a bridge between understanding and production, helping learners to refine their language use through correction and guidance. Task-based learning is another significant pedagogical approach that warrants discussion. It focuses on the completion of meaningful tasks that mirror real-world language use, rather than on the rote memorization of language forms. Furthermore, the integration of technology in language learning environments has opened up new and dynamic avenues for enhancing learners' engagement and exposure to the target language. The article weighs the efficacy of these diverse strategies by reviewing empirical studies and theoretical perspectives that underline their benefits in promoting second language proficiency. The conclusion weaves together the significant insights from the analysis, reflecting on the practical implications these strategies hold for learners and educators alike. It also calls for further research to optimize L2 teaching methodologies, thereby enriching our understanding of second language acquisition in the digital age.

Infrared deflectometry is an efficient and accurate measuring method for curved surfaces fabricated via grinding or finish milling. The emitting properties and geometrical configurations of the infrared light source is a core component governing the measurement performance. In this paper, an infrared slit light source is designed based on the cavity structure of a polyimide heating film. This design ensures good stability and uniformity of the light source whilst effectively reducing background noise. Additionally, the light source can be applied as a calibration board for calibrating infrared cameras. The light source is aligned using a theodolite and cubic prism to control the positional deviations during scanning. Experimental results demonstrate that the proposed slit light source and calibration method can achieve a measurement accuracy of 1 µm RMS, which can meet the needs of rapid measurement in grinding. This approach provides a reliable, cost-effective, and efficient tool for surface quality assessments in optical workshops and has a broad application potential.

In recent years, the impact of professional training on brain structure has sparked extensive research interest. Research into pilots as a high-demand, high-load, and high-cost occupation holds significant academic and economic value. The aim of this study is to investigate the effects of flight training on the brain structure and cognitive functions of flying cadets. The structural magnetic resonance imaging (sMRI) data from 39 flying cadets and 37 general college students underwent analysis using voxel-based morphometry (VBM) and surface-based morphometry (SBM) methods to quantitatively detect and compute multiple indicators, including gray matter volume (GMV), curvature, mean curvature of the white matter surface (MC-WMS), the percentage of surface white matter gray matter (WM-GM percentage), surface Jacobi (S-Jacobi), and Gaussian curvature of white matter surface (GC-WMS). At the voxel level, the GMV in the left temporal pole: middle temporal gyrus region of flying cadets significantly decreased (Gaussian random field, GRF, P < 0.05). At the surface level, there was a significant increase in curvature, MC-WMS, and S-Jacobi in the lateral occipital region of flight cadets (Monte Carlo block level correction, MCBLC, P<0.05), a significant increase in WM-GM percentage in the cuneus region of flight cadets (MCBLC, P<0.05), and a significant increase in GC-WMS in the middle temporal region of flight cadets (MCBLC, P<0.05). In addition, these changes were correlated with behavioral tests. Research suggested that flight training might induce changes in certain brain regions of flying cadets, enabling them to adapt to evolving training content and environments, thereby enhancing their problem-solving and flight abilities. By analyzing multiple indicators at the voxel and surface levels in an integrated manner, it advances our understanding of brain structure, function, and plasticity, while also facilitating a more profound exploration of the neural mechanisms within the pilot’s brain.

The rapid advancement of the civil aviation industry has attracted significant attention to research on pilots. However, the brain changes experienced by flight cadets following their training remain, to some extent, an unexplored territory compared to those of the general population. The aim of this study was to examine the impact of flight training on brain function by employing machine learning(ML) techniques. We collected resting-state functional magnetic resonance imaging (resting-state fMRI) data from 79 flight cadets and ground program cadets, extracting blood oxygenation level-dependent (BOLD) signal, amplitude of low frequency fluctuation (ALFF), regional homogeneity (ReHo), and functional connectivity (FC) metrics as feature inputs for ML models. After conducting feature selection using a two-sample t-test, we established various ML classification models, including Extreme Gradient Boosting (XGBoost), Logistic Regression (LR), Random Forest (RF), Support Vector Machine (SVM), and Gaussian Naive Bayes (GNB). Comparative analysis of the model results revealed that the LR classifier based on BOLD signals could accurately distinguish flight cadets from the general population, achieving an AUC of 83.75% and an accuracy of 0.93. Furthermore, an analysis of the features contributing significantly to the ML classification models indicated that these features were predominantly located in brain regions associated with auditory-visual processing, motor function, emotional regulation, and cognition, primarily within the Default Mode Network (DMN), Visual Network (VN), and SomatoMotor Network (SMN). These findings suggest that flight-trained cadets may exhibit enhanced functional dynamics and cognitive flexibility.

Mammals exhibit different rates of cancer, with long-lived species generally showing greater resistance. Although bats have been suggested to be resistant to cancer due to their longevity, this has yet to be systematically examined. Here, we investigate cancer resistance across seven bat species by activating oncogenic genes in their primary cells. Both in vitro and in vivo experiments suggest that Myotis pilosus (MPI) is particularly resistant to cancer. The transcriptomic and functional analyses reveal that the downregulation of three genes ( HIF1A , COPS5 , and RPS3 ) largely contributes to cancer resistance in MPI. Further, we identify the loss of a potential enhancer containing the HIF1A binding site upstream of COPS5 in MPI, resulting in the downregulation of COPS5 . These findings not only provide direct experimental evidence for cancer resistance in a bat species but also offer insights into the natural mechanisms of cancer resistance in mammals. Bats have been suggested to be resistant to cancer due to mechanisms related to their evolved longevity, but the associated molecular drivers are still understudied. Here, the authors examine cancer resistance mechanisms across seven bat species using in vitro and in vivo models, and identify HIF1A, COPS5, and RPS3 as related genes.

Grafting of C7 from the nonparalyzed to the paralyzed side in patients with arm paralysis resulted in greater improvements in power, spasticity, and function at 12 months than rehabilitation therapy alone, and functional connection to the ipsilateral cerebral hemisphere developed.

Following publication, concerns were raised regarding the relevance of a few references in this publication [...].Following publication, concerns were raised regarding the relevance of a few references in this publication [...].

Jiawei Xu, Lu YeThe Third Affiliated Hospital of Zhejiang, Chinese Medical University, Hangzhou, Zhejiang, People’s Republic of ChinaCorrespondence: Lu Ye, The Third Affiliated Hospital of Zhejiang, Chinese Medical University, Hangzhou, Zhejiang, 310009, People’s Republic of China, Email [email protected]View the original paper by Dr Feng and colleagues