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The function and susceptibility of various drugs are tested with renal proximal tubular epithelial cells; yet, replicating the morphology and kidneys function using the currently available in vitro models remains difficult. To overcome this difficulty, in the study presented in this paper, a device and a three-layer microfluidic chip were developed, which provides a simulated environment for kidney organs. This device includes two parts: (1) microfluidic drug concentration gradient generator and (2) a flow-temperature controlled platform for culturing of kidney cells. In chip study, renal proximal tubular epithelial cells (RPTECs) and peritubular capillary endothelial cells (PCECs) were screened with the drugs to assess the drug-induced nephrotoxicity. Unlike cells cultured in petri dishes, cells cultured in the microfluidic device exhibited higher performance in terms of both cell growth and drug nephrotoxicity evaluation. It is worth mentioning that a significant decrease in cisplatin-induced nephrotoxicity was found because of the intervention of cimetidine in the microfluidic device. In conclusion, the different in the cell performance between the microfluidic device and the petri dishes demonstrates the physiological relevance of the nephrotoxicity screening technology along with the microfluidic device developed in this study. Furthermore, this technology can also facilitate the development of reliable kidney drugs and serve as a useful and efficient test-bed for further investigation of the drug nephrotoxicity evaluation.

This paper provides a critical review of tactile and thermal sensors which are built from carbon nanomaterial-filled polymer composites (CNPCs). To make the review more comprehensive and systematic, the sensors are viewed as a system, and a general knowledge architecture for a system called function-context-behavior-principle-state-structure (FCBPSS) is employed to classify information as well as knowledge related to CNPC sensors. FCBPSS contains six basic concepts, namely, F: function, C: context, B: behavior, P: principle, and SS: state and structure. As such, the principle that explains why such composites can work as temperature and pressure sensors, various structures of the CNPC sensor, which realize the principle, and the behavior and performance of CNPC sensors are discussed in this review. This review also discusses the fabrication of the CNPC sensor. Based on the critical review and analysis, the future directions of research on the CNPC sensor are discussed; in particular, the need to have a network of CNPC sensors that can be installed on curved bodies such as those of robots is elaborated.

Micro-/nano-robots (MNRs) have impressive potential in minimally invasive targeted therapeutics through blood vessels, which has disruptive impact to improving human health. However, the clinical use of MNRs has yet to happen due to intrinsic limitations, such as overcoming blood flow. These bottlenecks have not been empirically solved. To tackle them, a full understanding of MNR behaviors is necessary as the first step. The common movement principle of MNRs is corkscrew motion with a helical structure. The existing dynamic model is only applicable to standard helical MNRs. In this paper, we propose a dynamic model for general MNRs without structure limitations. Comprehensive simulations and experiments were conducted, which shows the validity and accuracy of our model. Such a model can serve as a reliable basis for the design, optimization, and control of MNRs and as a powerful tool for gaining fluid dynamic insights, thus accelerating the development of the field. Micro-/nano-robots (MNRs) hold potential for minimally invasive targeted therapies through blood vessels, but clinical use is hindered by challenges such as overcoming blood flow. This study proposes a dynamic model for general MNRs without structural limitations, validated through simulations and experiments, to facilitate their design, optimization, and control.

The study of cultural changes associated with the emergence of complex societies in Ancient China has heavily relied on evidence from ceramics, lithic technologies, changes in settlement pattern, burial practices, and prestige goods. However, it remains unclear whether, and if so to what extent, other aspects of material culture follow similar evolutionary trajectories. Here, we analyze a large bone tool assemblage found in Longshan (n = 76) and Yueshi (n = 124) contexts at Yinjiacheng, a key site from the Haidai region. These two cultural entities are of particular interest as they allow to investigate cultural change dynamics in the Haidai region during the transition between the Late Neolithic and early Bronze Age. Our assessment allows us to document changes in bone technology along three lines of evidence: typological diversity, technological know-how, and morphometric standardization. From a typological standpoint, we document an increased diversity in tool types during the Yueshi period compared to Longshan. However, the techniques used to manufacture bone tools during the Longshan and Yueshi periods remain broadly the same. Furthermore, we identify the persistence of specific reduction sequences for the manufacture of some awl and projectile point sub-types shared by the two cultural systems. Morphometrically, Longshan domestic tools are generally more standardized than Yueshi tools, while Yueshi hunting implements show a higher degree of standardization compared to their Longshan counterparts. We argue this pattern reflects the preservation of a common know-how among Longshan and Yueshi settlers at Yinjiacheng. We interpret the typological diversification of Yueshi hunting implements and changes in the standardization of Yueshi bone tools as a proxy for the articulation of this knowledge through applying less rigid rules of production to meet new emerging needs.

The study of cultural changes associated with the emergence of complex societies in Ancient China has heavily relied on evidence from ceramics, lithic technologies, changes in settlement pattern, burial practices, and prestige goods. However, it remains unclear whether, and if so to what extent, other aspects of material culture follow similar evolutionary trajectories. Here, we analyze a large bone tool assemblage found in Longshan (n = 76) and Yueshi (n = 124) contexts at Yinjiacheng, a key site from the Haidai region. These two cultural entities are of particular interest as they allow to investigate cultural change dynamics in the Haidai region during the transition between the Late Neolithic and early Bronze Age. Our assessment allows us to document changes in bone technology along three lines of evidence: typological diversity, technological know-how, and morphometric standardization. From a typological standpoint, we document an increased diversity in tool types during the Yueshi period compared to Longshan. However, the techniques used to manufacture bone tools during the Longshan and Yueshi periods remain broadly the same. Furthermore, we identify the persistence of specific reduction sequences for the manufacture of some awl and projectile point sub-types shared by the two cultural systems. Morphometrically, Longshan domestic tools are generally more standardized than Yueshi tools, while Yueshi hunting implements show a higher degree of standardization compared to their Longshan counterparts. We argue this pattern reflects the preservation of a common know-how among Longshan and Yueshi settlers at Yinjiacheng. We interpret the typological diversification of Yueshi hunting implements and changes in the standardization of Yueshi bone tools as a proxy for the articulation of this knowledge through applying less rigid rules of production to meet new emerging needs.

Physical stimuli play an important role in one tissue engineering. Mechanical stimuli, such as ultrasound with cyclic loading, are widely used to promote bone osteogenesis; however, the inflammatory response under physical stimuli has not been well studied. In this paper, the signaling pathways related to inflammatory responses in bone tissue engineering are evaluated, and the application of physical stimulation to promote osteogenesis and its related mechanisms are reviewed in detail; in particular, how physical stimulation alleviates inflammatory responses during transplantation when employing a bone scaffolding strategy is discussed. It is concluded that physical stimulation (e.g., ultrasound and cyclic stress) helps to promote osteogenesis while reducing the inflammatory response. In addition, apart from 2D cell culture, more consideration should be given to the mechanical stimuli applied to 3D scaffolds and the effects of different force moduli while evaluating inflammatory responses. This will facilitate the application of physiotherapy in bone tissue engineering.

Background Minimally invasive glaucoma surgery (MIGS) has experienced a surge in popularity in recent years. Glaucoma micro-stents serve as the foundation for these minimally invasive procedures. Nevertheless, the utilization of these stents still presents certain short-term and long-term complications. This study aims to elucidate the creation of a novel drainage stent implant featuring a diverging channel, produced through microfluidic template processing technology. Additionally, an analysis of the mechanical properties, biocompatibility, and feasibility of implantation is conducted. Results The stress concentration value of the proposed stent is significantly lower, approximately two to three times smaller, compared to the currently available commercial XEN gel stent. This indicates a stronger resistance to bending in theory. Theoretical calculations further reveal that the initial drainage efficiency of the gradient diverging drainage stent is approximately 5.76 times higher than that of XEN stents. Notably, in vivo experiments conducted at the third month demonstrate a favorable biocompatibility profile without any observed cytotoxicity. Additionally, the drainage stent exhibits excellent material stability in an in vitro simulation environment. Conclusions In summary, the diverging drainage stent presents a novel approach to the cost-effective and efficient preparation process of minimally invasive glaucoma surgery (MIGS) devices, offering additional filtering treatment options for glaucoma.

Flexible piezoresistive sensors built by printing nanoparticles onto soft substrates are crucial for continuous health monitoring and wearable devices. In this study, a mechanomyography (MMG) sensor was developed using a flexible piezoresistive MMG signal sensor based on a pyramidal polydimethylsiloxane (PDMS) microarray sprayed with carbon nanotubes (CNTs). The experiment was conducted, and the results show that the sensitivity of the sensor can reach 0.4 kPa−1 in the measurement range of 0~1.5 kPa, and the correlation reached 96%. This has further implications for the possibility that muscle activation can be converted into mechanical movement. The integrity of the sensor in terms of its MMG signal acquisition was tested based on five subjects who were performing arm bending and arm extending movements. The results of this test were promising.

The rapid miniaturization of electronic devices has fueled unprecedented demand for flexible, high-performance sensors across fields ranging from medical devices to robotics. Despite advances in fabrication techniques, the development of micro- and nano-scale flexible force sensors with superior sensitivity, stability, and biocompatibility remains a formidable challenge. In this study, we developed a novel conductive photosensitive resin specifically designed for two-photon polymerization, systematically optimized its printing parameters, and improved its structural design, thereby enabling the fabrication of high-precision micro-spring force sensors (MSFS). The proposed photosensitive resin, doped with MXene nanomaterials, combines exceptional mechanical strength and conductivity, overcoming limitations of traditional materials. Using a support vector machine model in machine learning techniques, we optimized the polymerizability of the resin under varied laser parameters, achieving a predictive accuracy of 92.66%. This model significantly reduced trial-and-error in the TPP process, accelerating the discovery of ideal fabrication conditions. Finite element analysis was employed to design and simulate the performance of the MSFS, guiding structural optimization to achieve high sensitivity and mechanical stability. The fabricated MSFS demonstrated outstanding electromechanical performance, with a sensitivity coefficient of 5.65 and a fabrication accuracy within ±50 nm, setting a new standard for MSFS precision. This work not only pushes the boundaries of sensor miniaturization but also introduces a scalable, efficient pathway for the rapid design and fabrication of high-performance flexible sensors. The development of flexible, high-performance microscale force sensors remains a critical challenge for next-generation biomedical and wearable electronics. Here, we report a novel micro-spring force sensor fabricated via two-photon polymerization using a custom-designed conductive photosensitive resin doped with MXene nanosheets. The resin formulation was optimized to balance mechanical strength and electrical conductivity while ensuring high-resolution printability. To accelerate parameter optimization, a support vector machine model was trained to predict polymerization outcomes based on laser conditions and material compositions, achieving a prediction accuracy of 92.66%. Finite element analysis guided the design of the MSFS structure, enabling tunable electromechanical performance. The fabricated MSFS exhibited excellent sensitivity high fabrication precision and long-term stability. These results demonstrate the potential of integrating machine learning, functional nanomaterials, and TPP microfabrication to enable scalable, high-precision production of intelligent microsensors for biomedical and soft robotic applications.