Significant Stimuli Research Articles

Atherosclerosis treatment with nanoagent: potential targets, stimulus signals and drug delivery mechanisms.

Cardiovascular disease (CVDs) is the first killer of human health, and it caused up at least 31% of global deaths. Atherosclerosis is one of the main reasons caused CVDs. Oral drug therapy with statins and other lipid-regulating drugs is the conventional treatment strategies for atherosclerosis. However, conventional therapeutic strategies are constrained by low drug utilization and non-target organ injury problems. Micro-nano materials, including particles, liposomes, micelles and bubbles, have been developed as the revolutionized tools for CVDs detection and drug delivery, specifically atherosclerotic targeting treatment. Furthermore, the micro-nano materials also could be designed to intelligently and responsive targeting drug delivering, and then become a promising tool to achieve atherosclerosis precision treatment. This work reviewed the advances in atherosclerosis nanotherapy, including the materials carriers, target sites, responsive model and treatment results. These nanoagents precisely delivery the therapeutic agents to the target atherosclerosis sites, and intelligent and precise release of drugs, which could minimize the potential adverse effects and be more effective in atherosclerosis lesion.

Random noise test of analog-to-digital converters

The random noise test of analog to digital converters recommended by the IEEE 1057 Standard for digitizing waveform recorders is studied. The heuristically derived expression presented for the estimation of the random noise standard deviation is experimentally validated. The standard suggests a triangular stimulus signal. Here we will show how to use a sinusoidal stimulus signal to carry out the test. The influence of stimulus signal offset and amplitude on the estimation error is also analyzed and an expression is presented to compute the minimum amplitude value that guarantees an upper bound on the estimator bias.

Temperature Bias Drift Phase-Based Compensation for a MEMS Accelerometer with Stiffness-Tuning Double-Sided Parallel Plate Capacitors

This paper reports an approach of in-operation temperature bias drift compensation based on phase-based calibration for a stiffness-tunable MEMS accelerometer with double-sided parallel plate (DSPP) capacitors. The temperature drifts of the components of the accelerometer are characterized, and analytical models are built on the basis of the measured drift results. Results reveal that the temperature drift of the acceleration output bias is dominated by the sensitive mechanical stiffness. An out-of-bandwidth AC stimulus signal is introduced to excite the accelerometer, and the interference with the acceleration measurement is minimized. The demodulated phase of the excited response exhibits a monotonic relationship with the effective stiffness of the accelerometer. Through the proposed online compensation approach, the temperature drift of the effective stiffness can be detected by the demodulated phase and compensated in real time by adjusting the stiffness-tuning voltage of DSPP capacitors. The temperature drift coefficient (TDC) of the accelerometer is reduced from 0.54 to 0.29 mg/°C, and the Allan variance bias instability of about 2.8 μg is not adversely affected. Meanwhile, the pull-in resulting from the temperature drift of the effective stiffness can be prevented. TDC can be further reduced to 0.04 mg/°C through an additional offline calibration based on the demodulated carrier phase representing the temperature drift of the readout circuit.

Reliability of the P3 component in a 3-stimulus concealed information test with known and unknown stimuli

The parietal P3 amplitude of the event-related potential (ERP) has been highlighted to signal stimulus salience in concealed information tests (CITs) with known and unknown stimuli. To extend previous validity investigations in deception research, the reliability of the early parietal P3 amplitude in a 3-stimulus CIT including known and unknown stimuli has been investigated in a sample of N = 68 participants. Variations of Cronbach’s Alpha and split-half reliability (odd–even, 1st vs. 2nd half) of the early parietal P3 amplitude were considered for ERP quantification method (peak-to-peak, mean, baseline-to-peak), epoch selection strategies (chronological vs. random) and number of epochs (10–40) in three stimulus types (probe, target, irrelevant). Excellent reliability coefficients have been summarized for number of epochs, P3 quantifications, and epoch selection strategies. Moreover, the best-practice recommendations highlight mandatory combinations of epoch selection strategy, number of epochs and P3 quantifications to ensure robust and excellent reliabilities of the early parietal P3 amplitude in a 3-stimulus CIT with known (probe, target) and unknown (irrelevant) stimuli. The robustness of mandatory excellent reliability coefficients for the early parietal P3 has been discussed for two data tracks in single-case analyses.

Towards a Sustainable Management of the Spotted-Wing Drosophila: Disclosing the Effects of Two Spider Venom Peptides on Drosophila suzukii.

The spotted-wing drosophila (Drosophila suzukii) is a polyphagous pest that causes severe damage and economic losses to soft-skinned fruit production. Current control methods are dominated by inefficient cultural practices and broad-spectrum insecticides that, in addition to having toxic effects on non-target organisms, are becoming less effective due to acquired resistance. The increasing awareness of the real impact of insecticides on health and the environment has promoted the exploration of new insecticidal compounds, addressing novel molecular targets. This study explores the efficacy of two orally delivered spider venom peptides (SVPs), J-atracotoxin-Hv1c (Hv1c) and µ-theraphotoxin-Hhn2b (TRTX), to manage D. suzukii, through survival assays and the evaluation of gene expression associated with detoxification pathways. Treatment with TRTX at 111.5 µM for 48 h enhanced fly longevity compared with the control group. Gene expression analysis suggests that detoxification and stress-related mechanisms, such as expression of P450 proteins and apoptotic stimuli signaling, are triggered in D. suzukii flies in response to these treatments. Our results highlight the potential interest of SVPs to control this pest, shedding light on how to ultimately develop improved target-specific formulations.

Parylene C as a Multipurpose Material for Electronics and Microfluidics.

Poly(p-xylylene) derivatives, widely known as Parylenes, have been considerably adopted by the scientific community for several applications, ranging from simple passive coatings to active device components. Here, we explore the thermal, structural, and electrical properties of Parylene C, and further present a variety of electronic devices featuring this polymer: transistors, capacitors, and digital microfluidic (DMF) devices. We evaluate transistors produced with Parylene C as a dielectric, substrate, and encapsulation layer, either semitransparent or fully transparent. Such transistors exhibit steep transfer curves and subthreshold slopes of 0.26 V/dec, negligible gate leak currents, and fair mobilities. Furthermore, we characterize MIM (metal-insulator-metal) structures with Parylene C as a dielectric and demonstrate the functionality of the polymer deposited in single and double layers under temperature and AC signal stimuli, mimicking the DMF stimuli. Applying temperature generally leads to a decrease in the capacitance of the dielectric layer, whereas applying an AC signal leads to an increase in said capacitance for double-layered Parylene C only. By applying the two stimuli, the capacitance seems to suffer from a balanced influence of both the separated stimuli. Lastly, we demonstrate that DMF devices with double-layered Parylene C allow for faster droplet motion and enable long nucleic acid amplification reactions.

Nanoplatforms Potentiated Ablation-Immune Synergistic Therapy through Improving Local Control and Suppressing Recurrent Metastasis.

Minimally invasive ablation has been widely applied for treatment of various solid tumors, including hepatocellular carcinoma, renal cell carcinoma, breast carcinomas, etc. In addition to removing the primary tumor lesion, ablative techniques are also capable of improving the anti-tumor immune response by inducing immunogenic tumor cell death and modulating the tumor immune microenvironment, which may be of great benefit to inhibit the recurrent metastasis of residual tumor. However, the short-acting activated anti-tumor immunity of post-ablation will rapidly reverse into an immunosuppressive state, and the recurrent metastasis owing to incomplete ablation is closely associated with a dismal prognosis for the patients. In recent years, numerous nanoplatforms have been developed to improve the local ablative effect through enhancing the targeting delivery and combining it with chemotherapy. Particularly, amplifying the anti-tumor immune stimulus signal, modulating the immunosuppressive microenvironment, and improving the anti-tumor immune response with the versatile nanoplatforms have heralded great application prospects for improving the local control and preventing tumor recurrence and distant metastasis. This review discusses recent advances in nanoplatform-potentiated ablation-immune synergistic tumor therapy, focusing on common ablation techniques including radiofrequency, microwave, laser, and high-intensity focused ultrasound ablation, cryoablation, and magnetic hyperthermia ablation, etc. We discuss the advantages and challenges of the corresponding therapies and propose possible directions for future research, which is expected to provide references for improving the traditional ablation efficacy.

3D‐Printed Phase‐Change Artificial Muscles with Autonomous Vibration Control

AbstractCurrently, additive manufacturing is utilized to fabricate many different actuators suited for soft robots. However, an effective controller paradigm is essential to benefit from the advantages of soft robots in terms of power consumption, production costs, weight, and safety while operating near living systems. In this work, an artificial muscle is additively manufactured with soft silicone elastomer material capable of demonstrating several levels of stiffness. The 3D‐printed muscle is equipped with carbon fibers to receive a stimulus signal and develop a programmable joint that can present different stiffnesses. A nonlinear controller is developed to autonomously control the variable stiffness joint based on a reinforcement learning algorithm. The controller exhibits a slight increase in settling time; however, it demonstrates a decrease in fluctuation amplitude by 33% and a substantial reduction in power consumption by 41% in comparison to the optimized proportional integral derivative controller. At the same time, it is adaptable to and reliable in new conditions. The variable stiffness muscle is also used as a controllable mechanism to suppress the low frequency vibration. The study shows that the muscle can successfully attenuate the vibration autonomously when it is increased.

Mechanism of large-conductance calcium-activated potassium channel involved in inflammatory response in sepsis

To explore the mechanisms of large-conductance calcium-activated potassium channel (BKCa) involved in inflammatory response in sepsis. The serum levels of BKCa were measured by enzyme-linked immunosorbent assay (ELISA) in patients with sepsis (28 cases), patients with common infection (25 cases) and healthy people (25 cases). The relationship between levels of BKCa and acute physiology and chronic health evaluation II (APACHE II) were analyzed. Cultured RAW 264.7 cells were stimulated by lipopolysaccharide (LPS). In some experiments, a cell model of sepsis was constructed using Nigericin as the second stimulus signal. The mRNA and protein expressions of BKCa in RAW 264.7 cells stimulated with LPS (0, 50, 100, 1 000 μg/L) were measured by real-time fluorescence quantitative polymerase chain reaction (RT-qPCR) and Western blotting. RAW 264.7 cells were transfected with small interfering RNA of BKCa (siRNA-BKCa), and the levels of caspase-1 precursor (pro-caspase-1), interleukin-1β precursor (pro-IL-1β) in cell, and the levels of caspase-1 p20, IL-1β p17 of cell culture medium, and NOD-like receptor protein 3 (NLRP3), nuclear factor-κB (NF-κB) were measured by Western blotting. The apoptosis were detected by staining with propidium iodide (PI), the release rate of lactate dehydrogenase (LDH) were measured, and the expression of apoptotic protein Gasdermin D (GSDMD) was measured by Western blotting to evaluate the effect of silencing BKCa on cell pyrosis. The level of serum BKCa in patients with sepsis was significantly higher than that in patients with common infection and health peoples (ng/L: 165.2±25.9 vs. 102.5±25.9, 98.8±20.0, both P < 0.05). In addition, the level of serum BKCa in patients with sepsis was significantly positively correlated with APACHE II score (r = 0.453, P = 0.013). LPS could construct a sepsis cell model by which LPS could promote BKCa expression in mRNA and protein with a concentration-dependent manner. The mRNA and protein expressions of BKCa in the cells stimulated by 1 000 μg/L LPS were significantly higher than that in the blank group (0 μg/L) [BKCa mRNA (2-ΔΔCt): 3.00±0.36 vs. 1.00±0.16, BKCa/β-actin: 1.30±0.16 vs. 0.37±0.09, both P < 0.05]. Compared with the control group, the ratios of caspase-1 p20/pro-caspase-1 and IL-1β p17/pro-IL-1β in the model group were significantly increased (caspase-1 p20/pro-caspase-1: 0.83±0.12 vs. 0.27±0.05, IL-1β p17/pro-IL-1β: 0.77±0.12 vs. 0.23±0.12, both P < 0.05), however, transfection of siRNA-BKCa induced the decrease both of them (caspase-1 p20/pro-capase-1: 0.23±0.12 vs. 0.83±0.12, IL-1β p17/pro-IL-1β: 0.13±0.05 vs. 0.77±0.12, both P < 0.05). Compared with the control group, the number of apoptotic cells, LDH release rate and GSDMD expression in the model group were significantly increased [LDH release rate: (30.60±8.40)% vs. (15.20±7.10)%, GSDMD-N/GSDMD-FL: 2.10±0.16 vs. 1.00±0.16, both P < 0.05], however, transfection of siRNA-BKCa induced the decrease both of them [LDH release rate: (15.60±7.30)% vs. (30.60±8.40)%, GSDMD-N/GSDMD-FL: 1.13±0.17 vs. 2.10±0.16, both P < 0.05]. The mRNA and protein expressions of NLRP3 in sepsis cells were significantly higher than those in the control group [NLRP3 mRNA (2-ΔΔCt): 2.06±0.17 vs. 1.00±0.24, NLRP3/GAPDH: 0.46±0.05 vs. 0.15±0.04, both P < 0.05]. However, the expression of NLRP3 after siRNA-BKCa transfection was significantly lower than that in model group [NLRP3 mRNA (2-ΔΔCt): 1.57±0.09 vs. 2.06±0.17, NLRP3/GAPDH: 0.19±0.02 vs. 0.46±0.05, both P < 0.05]. Compared with the control group, the NF-κB p65 nuclear transfer of sepsis cell were significantly increased (NF-κB p65/Histone: 0.73±0.12 vs. 0.23±0.09, P < 0.05). However, the NF-κB p65 expression in the nucleus were decreased after siRNA-BKCa transfection (NF-κB p65/Histone: 0.20±0.03 vs. 0.73±0.12, P < 0.05). BKCa is involved in the pathogenesis of sepsis, and its possible mechanism is to activate NF-κB/NLRP3/caspase-1 signaling pathway to induce inflammatory factor production and cell death.

Low-Cost Indirect Measurements for Power-Efficient In-Field Optimization of Configurable Analog Front-Ends with Self-X Properties: A Hardware Implementation

This paper presents a practical implementation and measurement results of power-efficient chip performance optimization, utilizing low-cost indirect measurement methods to support self-X properties (self-calibration, self-healing, self-optimization, etc.) for in-field optimization of analog front-end sensory electronics with XFAB 0.35 µm complementary metal oxide semiconductor (CMOS) technology. The reconfigurable, fully differential indirect current-feedback instrumentation amplifier (CFIA) performance is intrinsically optimized by employing a single test sinusoidal signal stimulus and measuring the total harmonic distortion (THD) at the output. To enhance the optimization process, the experience replay particle swarm optimization (ERPSO) algorithm is utilized as an artificial intelligence (AI) agent, implemented at the hardware level, to optimize the performance characteristics of the CFIA. The ERPSO algorithm extends the selection producer capabilities of the classical PSO methodology by incorporating an experience replay buffer to mitigate the likelihood of being trapped in local optima. Furthermore, the CFIA circuit has been integrated with a simple power-monitoring module to assess the power consumption of the optimization solution, to achieve a power-efficient and reliable configuration. The optimized chip performance showed an approximate 34% increase in power efficiency while achieving a targeted THD value of −72 dB, utilizing a 1 Vp-p differential input signal with a frequency of 1 MHz, and consuming approximately 53 mW of power. Preliminary tests conducted on the fabricated chip, using the default configuration pattern extrapolated from post-layout simulations, revealed an unacceptable performance behavior of the CFIA. Nevertheless, the proposed in-field optimization successfully restored the circuit’s performance, resulting in a robust design that meets the performance achieved in the design phase.

A two-dimensional mid-infrared optoelectronic retina enabling simultaneous perception and encoding

Infrared machine vision system for object perception and recognition is becoming increasingly important in the Internet of Things era. However, the current system suffers from bulkiness and inefficiency as compared to the human retina with the intelligent and compact neural architecture. Here, we present a retina-inspired mid-infrared (MIR) optoelectronic device based on a two-dimensional (2D) heterostructure for simultaneous data perception and encoding. A single device can perceive the illumination intensity of a MIR stimulus signal, while encoding the intensity into a spike train based on a rate encoding algorithm for subsequent neuromorphic computing with the assistance of an all-optical excitation mechanism, a stochastic near-infrared (NIR) sampling terminal. The device features wide dynamic working range, high encoding precision, and flexible adaption ability to the MIR intensity. Moreover, an inference accuracy more than 96% to MIR MNIST data set encoded by the device is achieved using a trained spiking neural network (SNN).

2,3-Dihydroxynaphthalene invoked surface oxygen vacancy effect on Fe2O3 nanorods for photoanodic signal transduction tactic

The state-of-art signal transduction mechanism of anodic photoelectrochemistry is constrained to the hole oxidation reaction, which greatly hinders its application for prospective biosensing applications. Herein, we present an innovative strategy for signal transduction by exploiting the in situ formation of surface oxygen vacancies (VOs) on Fe2O3 nanorods (NRs) through the self-coordination of 2,3-dihydroxynaphthalene (2,3-DHN) on their surfaces. The 2,3-DHN was connected with Fe(Ⅲ) on the surface of Fe2O3 NRs vis the formation of the five-membered ring structures accompanied by the generation of VOs. And the generated VOs introduced a new defect energy level for trapping the photogenerated holes, which enhanced the charge separation and realized the enhancement of photocurrent signal. The developed signal transduction strategy was validated by the first photoelectrochemical (PEC) sensing platform for β-glucoside (β-Glu) and lipase (LPS), which can catalyze the hydrolysis of 3-hydroxy-2-naphthalenyl-β-D-glucoside and naphthalene-2,3-diol diacetate, respectively, to produce 2,3-DHN for signal stimuli. The β-Glu and LPS were detected with linear ranges of 0.01–10.0 U/mL and 0.001–5.0 mg/mL, respectively. Detection limits of 3.3 × 10−3 U/mL and 0.32 μg/mL (S/N = 3) were achieved, for β-Glu and LPS, respectively. The present study not only provides a new strategy for spontaneous induction of VOs in situ for n-type semiconductors, but also innovates the anodic PEC signal transduction strategy with broadened biosensing applications.

Effect of sound masking using child-friendly masker sounds on the perception of the dental drill noise in pediatric dental practice

Background: Dental anxiety is significantly influenced by the fear and annoyance brought on by the sound of a dental drill. As a result, the welcoming atmosphere at pediatric dental offices is likely to entice young children to come in for examination and treatment. Aim: The aim of this study was to compare the masking effect of dental drill noise with the sound maskers on the annoyance rate of pediatric dental patients. Materials and Methods: To evaluate the stimuli in the annoyance experiment, 40 children (20 boys and 20 girls) were enlisted. As masker sounds, dragonfly and whistle sounds were chosen, and the functioning dental drill noise was blended with the original sound level. The participants rated each audio stimulus signal delivered to them in a random order, with the level of annoyance indicated by a color scale corresponding to the intensity of their psychological sense. The mean comparison between the acoustic stimuli was made using the Friedman's test. Based on gender, the mean comparison between acoustic stimuli was made using the Mann–Whitney U-test. Results: The mean annoyance rate of dental drill noise dragonfly sound and whistle sound was 4.83, 1.15, and 3.82, respectively. Gender has a significant effect on masking effect in nonacoustic factor outcomes. Conclusion: The dragonfly sound had the best impact and the most significant reduction in annoyance compared to the sound of the drill. Typically, girls felt more at ease around the dragonfly sound than boys did.

Value-modulated attentional capture is augmented by win-related sensory cues.

Attentional prioritisation of stimuli in the environment plays an important role in overt choice. Previous research shows that prioritisation is influenced by the magnitude of paired rewards, in that stimuli signalling high-value rewards are more likely to capture attention than stimuli signalling low-value rewards; and this attentional bias has been proposed to play a role in addictive and compulsive behaviours. A separate line of research has shown that win-related sensory cues can bias overt choices. However, the role that these cues play in attentional selection is yet to be investigated. Participants in this study completed a visual search task in which they responded to a target shape in order to earn reward. The colour of a distractor signalled the magnitude of reward and type of feedback on each trial. Participants were slower to respond to the target when the distractor signalled high reward compared to when the distractor signalled low reward, suggesting that the high-reward distractors had increased attentional priority. Critically, the magnitude of this reward-related attentional bias was further increased for a high-reward distractor with post-trial feedback accompanied by win-related sensory cues. Participants also demonstrated an overt choice preference for the distractor that was associated with win-related sensory cues. These findings demonstrate that stimuli paired with win-related sensory cues are prioritised by the attention system over stimuli with equivalent physical salience and learned value. This attentional prioritisation may have downstream implications for overt choices, especially in gambling contexts where win-related sensory cues are common.

Cerebellar nuclei neurons projecting to the lateral parabrachial nucleus modulate classical fear conditioning

Multiple brain regions are engaged in classical fear conditioning. Despite evidence for cerebellar involvement in fear conditioning, the mechanisms by which cerebellar outputs modulate fear learning and memory remain unclear. We identify a population of deep cerebellar nucleus (DCN) neurons with monosynaptic glutamatergic projections to the lateral parabrachial nucleus (lPBN) (DCN→lPBN neurons) in mice. While optogenetic suppression of DCN→lPBN neurons impairs auditory fear memory, activation of DCN→lPBN neurons elicits freezing behavior only after auditory fear conditioning. Moreover, auditory fear conditioning potentiates DCN-lPBN synapses, and subsequently, auditory cue activates lPBN neurons after fear conditioning. Furthermore, DCN→lPBN neuron activation can replace the auditory cue but not footshock in fear conditioning. These findings demonstrate that cerebellar nuclei modulate auditory fear conditioning via transmitting conditioned stimuli signals to the lPBN. Collectively, our findings suggest that the DCN-lPBN circuit is a part of neuronal substrates within interconnected brain regions underscoring auditory fear memory.

Development of Bi-Stable Vibration Energy Harvesting System Using Duffing-Type Motion Model

Vibration power generation is an important issue in development of renewable energy. If a vibration system with a maximum possible amplitude is designed, it can be advantageous in improving the vibration power generation efficiency. In this study, we propose a Duffing-type bi-stable vibration energy harvesting system that utilizes the stochastic resonance phenomenon, which can significantly expand the vibration amplitude. We designed the motion rail shape of the bistable vibration model using the Duffing function, and created a Duffing-type wave-shaped motion rail using an acrylic plate. An electromagnetic motor was installed in place of the four rotating wheels below the mass block that moves on the wave-shaped motion rail. When the mass block moves on the rail, it can output a voltage directly from the electromagnetic motor. To verify the performance of the proposed bi-stable vibration energy-harvesting system, a vibration experiment was conducted by combining a random excitation signal that simulates an actual natural environment and intentional periodic excitation signal. Using the experimental results, the stochastic resonance phenomenon and vibration power generation performance of the bi-stable vibration energy-harvesting system were investigated. The stochastic resonance phenomenon can be reliably generated using the bi-stable vibration system proposed in this study, and a large amplitude expansion effect can be obtained in the response vibration of the mass block. In addition, using random signals simulating the natural environment and periodic signals as stimulus signals, vibration experiments were conducted separately for two measurement cases: single excitation and joint excitation. The measurement results showed that under the same input excitation energy, the simultaneous excitation of the two signals generated 82.99% more power than that generated by separate excitation of the two signals. The generation of the stochastic resonance phenomenon by exciting two signals simultaneously has a significant effect on the improvement of the power generation efficiency of the bi-stable vibration energy harvesting system.

Quantification of Force/Tactile Sensation

The force/tactile sensation (hereafter referred to as f/t sensation) has not been well defined for a long time. In the applications of real haptics, it is necessary to quantitatively evaluate the quality of the f/t sensation. The paper proposes the definition of f/t sensation as the stimulus signal. Accordingly, the instantaneous value of the stimulus signal of the f/t sensation represents the simultaneous ratio of the value of reaction force and the value of velocity. If the contact target is modeled as an inertia-damper-spring model, the stimulus signal of the f/t sensation is expressed as the equivalent circuit of the sum of the impedance (or admittance) and the voltage source (or the current source). The definition of the stimulus signal of the f/t sensation in frequency area clarifies the physical meaning. The paper presents the experimental results that confirm the viability of this novel definition on the stimulus signal of the f/t sensation.

The effects of preceding sound on three measures related to gain reduction

The medial olivocochlear reflex (MOCR) decreases the gain of the cochlear active process in response to sound. We have used psychoacoustic techniques to show behavioral effects of gain reduction, which could be consistent with the MOCR. We have used forward masking paradigms understood to measure frequency selectivity and the input/output function at the level of the cochlea using stimuli (masker and signal) that should be too short to evoke the MOCR. A precursor sound is then presented before these stimuli to evoke the MOCR. In previous studies, we have shown that a precursor: (1) increases signal threshold more after an off-frequency masker than the on-frequency one for forward maskers matched in effectiveness to increase signal threshold to 5 dB SL, (2) may increase on-frequency masker threshold required to mask a signal of 15-20 dB SL, and (3) may decrease suppression in forward masking. All of these effects would be consistent with a reduction in gain by the precursor, possibly by the MOCR. In the current study, these effects are all measured within the same listeners, using a more effective precursor than has been used in previous studies. The relationship between the measures will be discussed.

Thermal-Response Proton Conduction in Schiff Base-Incorporated Metal-Organic Framework Hybrid Membranes under Low Humidity Based on the Excited-State Intramolecular Proton Transfer Mechanism.

Stimulus-responsive proton conduction materials have attracted enormous interest as a new kind of "smart material". It is desirable to develop the appropriate stimulus signal and high proton-conducting materials with an excellent proton-conducting switch ratio (γ), but it remains a great challenge. Here, it can be found for the first time that 4-((2-hydroxybenzylidene)amino)benzenesulfonic acid (HBABSA) has obvious thermal isomerization when porous solids act as matrixes at the ambient temperatures, which is different from that in the crystalline state at 77 K. Therefore, we proposed a host-guest metal-organic framework (MOF) composite, namely, MOF-808 incorporated with HBABSA (HBABSA@MOF-808), which has a proton-conducting switch ratio (γ) of 16 between 338 and 343 K due to the thermally induced isomerization of HBABSA molecules in the MOF pores. The strong binding between the keto-type HBABSA and MOF at the relatively low temperatures can efficiently suppress the proton conduction, while the enol-type one provides more mobile protons for conduction at the high temperatures due to the excited-state intramolecular proton transfer mechanism. Further, the HBABSA@MOF-808 as a filler is blended into polyvinyl alcohol and poly(2-acrylamide-2-methyl-1-propane sulfonic acid) to form hybrid membranes. The hybrid membrane with the highest content of the MOF composite displays a high proton conductivity of 5.57 × 10-3 S·cm-1 under 353 K and 57% RH along with a good switch ratio of 5.4. The development of thermal-response proton-conducting MOF materials is opening up a unique pathway for remote control, thermal sensing, intelligent batteries, and other fields.

A DNA Finite-State Machine Based on the Programmable Allosteric Strategy of DNAzyme.

Living organisms can produce corresponding functions by responding to external and internal stimuli, and this irritability plays a pivotal role in nature. Inspired by such natural temporal responses, the development and design of nanodevices with the ability to process time-related information could facilitate the development of molecular information processing systems. Here, we proposed a DNA finite-state machine that can dynamically respond to sequential stimuli signals. To build this state machine, a programmable allosteric strategy of DNAzyme was developed. This strategy performs the programmable control of DNAzyme conformation using a reconfigurable DNA hairpin. Based on this strategy, we first implemented a finite-state machine with two states. Through the modular design of the strategy, we further realized the finite-state machine with five states. The DNA finite-state machine endows molecular information systems with the ability of reversible logic control and order detection, which can be extended to more complex DNA computing and nanomachines to promote the development of dynamic nanotechnology.