Recent advances in drug design and compound synthesis have highlighted the increasing need for effective methods of toxicity evaluation. A specialized force sensor, known as the light wavelength-encoded "Chinese ...
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Recent advances in drug design and compound synthesis have highlighted the increasing need for effective methods of toxicity evaluation. A specialized force sensor, known as the light wavelength-encoded "Chinese guzheng" is developed. This innovative sensor is equipped with optical fiber strings and utilizes a wavelength-encoded fiber Bragg grating (FBG) that is chemically etched to reduce its diameter. This design allows the sensor to detect minimal forces as low as l mu N. This sensor is successfully applied to monitor human-induced pluripotent stem cell-derived human-engineered heart tissue (hEHT) models that can self-assemble and contact optical fiber-based strings. The sensor detects micro newton contraction forces in real-time by measuring the wavelength drift resulting from hEHT contractions. In addition, the sensor is precise and durable, exhibiting a fatigue resistance of up to 800 000 cycles, making it suitable for long-term monitoring. The device effectively measured the contractile force of the hEHTs under various physiological conditions, including natural contraction, electrical stimulation, and stretching. Moreover, multichannel detection enables the study and demonstration of short- and long-term effectiveness of multiple drugs. This breakthrough sensor addresses the critical need for high-precision real-time monitoring in drug evaluation and provides a solid foundation for screening drugs to treat cardiomyopathy.
Wearable pressure sensors capable of adhering comfortably to the skin hold great promise in sound ***,current intelligent speech assistants based on pressure sensors can only recognize standard languages,which hampers...
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Wearable pressure sensors capable of adhering comfortably to the skin hold great promise in sound ***,current intelligent speech assistants based on pressure sensors can only recognize standard languages,which hampers effective communication for non-standard language ***,we prepare an ultralight Ti_(3)C_(2)T_(x)MXene/chitosan/polyvinylidene difluoride composite aerogel with a detection range of 6.25 Pa-1200 k Pa,rapid response/recovery time,and low hysteresis(13.69%).The wearable aerogel pressure sensor can detect speech information through the throat muscle vibrations without any interference,allowing for accurate recognition of six dialects(96.2%accuracy)and seven different words(96.6%accuracy)with the assistance of convolutional neural *** work represents a significant step forward in silent speech recognition for human–machine interaction and physiological signal monitoring.
Poor soil physical properties related to the least limiting water range (LLWR) limit the productivity of clayey red soil (Ultisol) under a subtropical monsoon climate in southern china. This study evaluated the effect...
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Poor soil physical properties related to the least limiting water range (LLWR) limit the productivity of clayey red soil (Ultisol) under a subtropical monsoon climate in southern china. This study evaluated the effects of bio-tillage on LLWR and identified the key factors influencing LLWR through a field experiment. The treatments included no plant, two cultivars of oilseed rape (Brassica napus L. cv. Huashuang 4 and Brassica napus L. cv. Xinan 28), one-year-old and perennial lucerne (Medicago sativa L. cv. Ladino), and one-year-old and perennial vetiver (Vetiveria zizanioides L. cv. Wild), used as cover crops prior to summer maize. key parameters measured included plant root morphological traits, and soil bulk density, field capacity (FC), wilting point (PWP), available water content (AWC), penetration resistance (PR) and air-filled porosity (AFP) were determined. The two rape cultivars exhibited the shallowest root distribution (limited to 20 cm depth) and the lowest root surface density (RSD, similar to 16.61 cm(2)cm(-)(3)) and root volume density (RVD, similar to 0.58 cm(3)cm(-)(3)). In contrast, lucerne and vetiver demonstrated greater root development, with deeper root penetration (>60 cm), and higher RSD and RVD, with vetiver showing the highest values (RSD similar to 24.01 cm(2)cm(-)(3), RVD similar to 0.96 cm(3)cm(-)(3)). Lucerne and vetiver treatments increased AWC and AFP but reduced PR. Soil planted with vetiver had lower FC (0.35-0.48 cm(3)cm(-3)) and PR (1362-3297 kPa) than soil planted with lucerne, while soil planted with lucerne had a lower PWP (0.25-0.35 cm(3)cm(-3)) than soil planted with vetiver. All crops improved LLWR at 0-20 cm depth, but vetiver increased LLWR below the depth of 20 cm due to its higher root length density (RLD) and RSD. Path analysis revealed that PR had the strongest direct negative effect on LLWR (coefficients from -1.0528 to -1.7642), while redundancy
Integrated CO2 capture and utilization (ICCU) emerges as an effective strategy for reducing CO2 emissions, offering benefits such as facility simplification and improved energy efficiency. To further optimize the perf...
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Integrated CO2 capture and utilization (ICCU) emerges as an effective strategy for reducing CO2 emissions, offering benefits such as facility simplification and improved energy efficiency. To further optimize the performance of ICCU-methanation dual-function materials (DFMs), a Ni/CeNiCa DFM featuring a Ce promoter and Ni pre-doping was synthesized using a one-pot method and impregnation technique. This resulted in an impressive CO2 capture capacity of 11 964 mu mol gDFM-1 and a CH4 production yield of 11 061 mu mol gDFM-1. The pre-doping of Ni serves as a promoter and catalyst, whereas the impregnation-loaded Ni enhances the catalytic effectiveness of the DFM. Despite its impact on the reduction of NiO, the Ce doping proves valuable by modulating the active crystal surface of Ni, thus enhancing the methane production rate. In addition, 3% O2 addition barely influences the CO2 capture capacity and CH4 production yield but slightly inhibits the CH4 production rate. Furthermore, 500 ppm NOx can have severe irreversible effects on the adsorbent, indicating that DeNOx facilities are necessary for the application of the ICCU system.
LiNixMnyCo1-x-yO2 (NMC) cathode materials with Ni >= 0.8 have garnered significant interest for their potential in high energy-density lithium metal batteries (LMBs). However, their performance at low temperatures ...
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LiNixMnyCo1-x-yO2 (NMC) cathode materials with Ni >= 0.8 have garnered significant interest for their potential in high energy-density lithium metal batteries (LMBs). However, their performance at low temperatures (-20 degrees C and below) is hindered by increased resistance encountered by Li+ transport within the bulk electrolyte and across the electrolyte/electrode interfaces, resulting in capacity loss and battery failures. Acetonitrile (AN) is a well-known organic solvent with low viscosity, low melting point and high dielectric constant. However, the incompatibility issue of AN with anode and cathode materials hindered its application. Herein, we have developed a localized high-concentration AN-based electrolyte (LHCE) comprising lithium bis(fluorosulfonyl) imide (LiFSI) salt, AN solvent and 1,1,2,2-tetrafluoroethyl-2,2,3,3-tetrafluoropropyl ether (TTE) diluent. The LHCE promotes the formation of an anion-derived cathode-electrolyte interface (CEI) on the NMC811 surface, thereby reducing the charge transfer resistance and facilitating Li+ transport at sub-zero temperatures. The exemplary electrolyte enables NMC811-based LMBs to achieve excellent cycling stability at -30 degrees C and superior low-temperature charge-discharge performance down to -40 degrees C with a discharge specific capacity of 113 mA h g-1 at 0.1C rate. An acetonitrile-based localized high concentration electrolyte has been developed for low temperature lithium metal batteries. The corresponding Li/NMC811 cell delivers a high capacity of 113 mA h g-1 at -40 degrees C with 85.5% capacity retention.
The excitation errors are unavoidable problems in applications of active electronically scanned arrays (AESAs). At present, the effect of excitation errors on the jamming performance of AESA-based cross-eye jammers an...
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The excitation errors are unavoidable problems in applications of active electronically scanned arrays (AESAs). At present, the effect of excitation errors on the jamming performance of AESA-based cross-eye jammers and the tolerances for excitation errors are unclear. In this letter, the effect of excitation errors on the jamming performance is revealed. And the tolerances for excitation errors are determined through statistical analysis. The verification results show that the expected performance of AESA-based cross-eye jammers is guaranteed under the proposed tolerances for excitation errors.
About one-third of alloys show a phase diagram with a miscibility gap in the liquid *** solidifications of these alloys proceed with a liquid-liquid decomposition and have great potential in the development of high-pe...
About one-third of alloys show a phase diagram with a miscibility gap in the liquid *** solidifications of these alloys proceed with a liquid-liquid decomposition and have great potential in the development of high-performance in-situ particulate composites,and composites with a core/shell ***,these alloys generally show a phase segregated microstructure when solidified on the *** the 1960s,
Strain measurement is crucial for the safety and stability of engineering activities. With the increasing demand for sensors and large strain measurement in engineering monitoring, the study on the large strain measur...
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Strain measurement is crucial for the safety and stability of engineering activities. With the increasing demand for sensors and large strain measurement in engineering monitoring, the study on the large strain measurement is deepening. However, the conventional strain sensors based on rigid conductive materials have limited flexibility and low stretchability, and the research of large strain and flexible sensors in engineering still lacks. In this work, a highly stretchable and sensitive flexible strain sensor based on liquid metal-Nickle microparticles (LMN) composite is developed to detect large strain. The LMN composite, featuring uniformly dispersed Nickle microparticles within the liquid metal matrix, is deposited onto the elastomer Ecoflex base *** LMN composite based-sensor exhibits high sensitivity (GF = 16.14644 at strain of 200%), large stretchability (up to 200%) and low hysteresis. The theoretical relationship between the relative resistance changes and strain is derived, and the theoretical derivation is compared with experimental data to verify the accuracy of theoretical derivation. Additionally, the LMN composite based-sensors can be used to detect pressure and bending signals in engineering. This work highlights the potential of LMN composite in broad applications and can facilitate the application of flexible sensing devices in engineering. In this work, a highly stretchable and sensitive flexible strain sensor based on liquid metal-nickel microparticles (LMN) composite is developed. The relationship between the resistance and strain is derived, and theoretical relative resistance is compared with experimental relative resistance to verify the accuracy of theoretical derivations. Finally, the extensive application potential of LMN composites is *** (c) 2024 WILEY-VCH GmbH
The cloudification of fifth-generation (5G) networks enhances flexibility and scalability while simultaneously introducing new security challenges, especially co-resident threats. This type of attack exploits the virt...
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The cloudification of fifth-generation (5G) networks enhances flexibility and scalability while simultaneously introducing new security challenges, especially co-resident threats. This type of attack exploits the virtualization environment, allowing attackers to deploy malicious Virtual Machines (VMs) on the same physical host as critical 5G network element VMs, thereby initiating an attack. Existing techniques for improving isolation and access control are costly, while methods that detect abnormal VM behavior have gained research attention. However, most existing methods rely on static features of VMs and fail to effectively capture the hidden behaviors of attackers, leading to low classification and detection accuracy, as well as a higher likelihood of misclassification. In this paper, we propose a co-resident attack detection method based on behavioral feature vectors and machine learning. The method constructs behavioral feature vectors by integrating attackers' stealthy behavior patterns and applies K-means clustering for user classification and labeling, followed by manual verification and adjustment. A Random Forest (RF) algorithm optimized with Bayesian techniques is then employed for attack detection. Experimental results on the Microsoft Azure dataset demonstrate that this method outperforms static feature-based approaches, achieving an accuracy of 99.48% and significantly enhancing the detection of potential attackers. Future work could consider integrating this method into a broader 5G security framework to adapt to the ever-evolving threat environment, further enhancing the security and reliability of 5G networks.
Covalent organic framework(COF)nanocrystals are useful in biological applications;however,their hydrophobic nature makes them aggregate into clusters in aqueous *** this work,we show that by modifying the crystal surf...
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Covalent organic framework(COF)nanocrystals are useful in biological applications;however,their hydrophobic nature makes them aggregate into clusters in aqueous *** this work,we show that by modifying the crystal surface with hydrophilic functional groups,these nanocrystals can maintain in the monodispersed form in aqueous ***,three COFs,TPB-DMTP COF,TAPB-PDA COF and TAPB-BPDA COF were synthesized using organic Lewis acid as the catalyst,to generate nanoparticles with the size ranging from 180 nm to 1μm.2-Aminoethanesulfonic acid(AESA)was applied to react with the terminal aldehyde functional groups exposed at the surface of COF *** resulting negatively charged surface keeps these nanocrystals apart from each other in aqueous solution for at least 48 *** mesopore of these COF nanocrystals allows the entering of single-strand DNA molecules and the release in the presence of complementary DNA.
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