Interface Device Research Articles

Importance of 3D presentation in the consumer's purchase intention

The article reviews existing literature to explore how 3D presentations can enhance the online shopping experience by providing consumers with a more realistic and engaging view of products. This includes discussing the technical requirements for implementing 3D presentations, such as output and input interface devices and interaction techniques, and examining case studies where 3D visuals have successfully improved consumer experience and sales in various sectors. The findings from the review suggest that 3D presentations can significantly impact consumer behavior, improving product understanding, engagement, and purchase intention. By providing an immersive and interactive experience, 3D presentations can overcome the limitations of physical inspection and social interaction typically missing from online shopping. The paper concludes by emphasizing the importance of businesses adopting 3D presentations as part of their marketing strategies to meet consumer demands and remain competitive in the digital marketplace. This review article offers valuable insights for marketers and e-commerce businesses looking to enhance their online presence and consumer engagement through 3D presentation technologies.

Internet of medical things-enabled CRISPR diagnostics for rapid detection of SARS-CoV-2 variants of concern.

Previous studies have highlighted CRISPR-based nucleic acid detection as rapid and sensitive diagnostic methods for severe acute respiratory syndrome coronavirus 2 (SARS-CoV-2). Here, we reported an optimized CRISPR-Cas12a diagnostic platform for the safe and rapid detection of SARS-CoV-2 variants of concern (VOCs). This platform, which was referred to as CALIBURN-v2, could complete the diagnosis on extracted RNA samples within 25 min in a closed-lid reaction mode and had 100-fold increase in detection sensitivity in comparison with previous platforms. Most importantly, by integrating a portable device and smartphone user interface, CALIBURN-v2 allowed for cloud server-based data collection and management, thus transforming the point-of-care testing (POCT) platform to internet of medical things (IoMT) applications. It was found that IoMT-enabled CALIBURN-v2 could achieve 95.56% (172 out of 180) sensitivity for SARS-CoV-2 wild type and 94.38% (84 out of 89) overall sensitivity for SARS-CoV-2 variants including Delta and Omicron strains. Therefore, our study provides a feasible approach for IoMT-enabled CRISPR diagnostics for the detection of SARS-CoV-2 VOCs.

All-Serotype Dengue Virus Detection through Multilayered Origami-Based Paper/Polymer Microfluidics.

The dengue virus (DENV) infection commonly triggers threatening seasonal outbreaks all around the globe (estimated yearly infections are in the order of 100 million, combining all the viral serotypes), testifying the need for early detection to facilitate disease management and patient recovery. The laboratory-based testing procedures for detecting DENV infection early enough are challenged by the need of resourced settings that result in inevitable cost penalty and unwarranted delay in obtaining the test results due to distance-related factors with respect to the patient's location. Recognizing that the introduction of alternative extreme point-of-care technologies for early detection may potentially mitigate this challenge largely, we develop here a multiplex paper/polymer-based detection strip that interfaces with an all-in-one simple portable device, synchronizing the pipeline of nucleic acid isolation, isothermal amplification, and colorimetric analytics as well as readout for detecting all the four serotypes of dengue viruses in around 30 min from about 50 μL of human blood serum with high specificity and sensitivity. Aligned with the mandatory guidelines of the World Health Organization, the ultralow-cost test is ideal for dissemination at different community centers via a user-friendly device interface, not only as a critical surveillance measure in recognizing the potential cocirculation of the infection across regions that are hyperendemic for all four DENV serotypes but also for facilitating effective monitoring of patients infected by any one of the particular viral serotypes as well as timely administration of life-saving measures on need.

Multifunctional Ionic Liquid as an Interfacial Modifier for High-Performance and Stable NiOx-Based Inverted Perovskite Solar Cells.

Interface instability has evolved into the primary aspect that limits the durability improvement of perovskite solar cells (PSCs). Interface modification with suitable molecules is widely considered an effective path for improving the interface state. Herein, an ionic liquid modified layer, 1-ethyl-3-methylimidazolium aminoacetate (EMIMAE), is brought to modify NiOx/perovskite interface. The EMIMAE layer can interact with the adjacent layer to regulate the perovskite growth, passivate defects in the film, and promote charge transport in PSCs. Eventually, the optimized device's efficiency rises to 18.6%, which is a substantial improvement over the control device. Particularly, after 1000 h of continuous maximum power point tracking, the device can still retain 95% of its initial efficiency. This work proposes a simple idea to ameliorate the device interface and boost the commercialization of NiOx based devices.

Model and data of optically controlled tunable capacitor in silicon single-photon avalanche diode

This paper reports the photocapacitance effect of silicon-based single-photon avalanche diodes (SPADs), and the frequency scattering phenomenon of capacitance. The test results of the small-signal capacitance–voltage method show that light can cause the capacitance of a SPAD device to increase under low-frequency conditions, and the photocapacitance exhibits frequency-dependent characteristics. Since the devices are fabricated based on the standard bipolar-CMOS-DMOS process, this study attributes the above results to the interfacial traps formed by Si–SiO2, and the illumination can effectively reduce the interfacial trap lifetime, leading to changes in the junction capacitance inside the SPAD. Accordingly, an equivalent circuit model considering the photocapacitance effect is also proposed in this paper. Accurate analysis of the capacitance characteristics of SPAD has important scientific significance and application value for studying the energy level distribution of device interface defect states and improving the interface quality.

Design and Implementation of a Regenerative Mode Electric Vehicle Test Platform for Engineering Education

In engineering education, traditional teaching approaches cannot sufficiently help students to learn electric vehicle (EV) concepts. In this study, the design of an educational test setup including all the components and all dynamics of EVs is implemented, and case studies for engineering education with practical applications are discussed. The proposed test and training platform not only provides hands-on experience for engineering students, but also the opportunity for expert users to test their own designed algorithms on the test setup through a computer and human–machine interface device. The aim of the study is to show students the effects of road slope, vehicle weight and energy recovery parameters on a light EV. In this context, five case studies have been carried out by the students, and a survey was conducted with them. The survey results show that the test setup can help them better comprehend any EV system and develop their professional knowledge and skills.

The protective effect and its mechanism for electrolyte additives on the anode interface in aqueous zinc-based energy storage devices

Aqueous-electrolyte-based zinc-ion batteries (ZIBs), which have significant advantages over other batteries, including low cost, high safety, high ionic conductivity, and a natural abundance of zinc, have been regarded as a potential alternative to lithium-ion batteries (LIBs). ZIBs still face some critical challenges, however, especially for building a reversible zinc anode. To address the reversibility of zinc anode, great efforts have been made on intrinsic anode engineering and anode interface modification. Less attention has been devoted to the electrolyte additives, however, which could not only significantly improve the reversibility of zinc anode, but also determine the viability and overall performance of ZIBs. This review aims to provide an overview of the two main functions of electrolyte additives, followed by details on six reasons why additives might improve the performance of ZIBs from the perspectives of creating new layers and regulating current plating/stripping processes. Furthermore, the remaining difficulties and potential directions for additives in aqueous ZIBs are also highlighted.

Improvement of the performance of graphene/Al(1 1 1) interface with defect mode and doped mode

We investigated the effects of vacancy defect and heteroatom doped (B, N, and Si) on the properties of the graphene/Al (111) interface by using density functional theory. The results show that the interface binding energy can be changed by vacancy defect and heteroatom doped. B-doped can reduce the interface interlayer distance. It is found that the defect or heteroatom doped can improve the charge transport and orbital hybridization ability in the interface. It shows that the bonding strength of the graphene/Al interface can be controlled by graphene modification, which can improve the performance of the graphene/Al interface for optoelectronic devices.

Energy-Efficient Wake-Up Signalling for Machine-Type Devices Based on Traffic-Aware Long Short-Term Memory Prediction

Reducing energy consumption is a pressing issue in low-power machine-type communication (MTC) networks. In this regard, the Wake-up Signal (WuS) technology, which aims to minimize the energy consumed by the radio interface of the machine-type devices (MTDs), stands as a promising solution. However, state-of-the-art WuS mechanisms use static operational parameters, so they cannot efficiently adapt to the system dynamics. To overcome this, we design a simple but efficient neural network to predict MTC traffic patterns and configure WuS accordingly. Our proposed forecasting WuS (FWuS) leverages an accurate long-short term memory (LSTM)- based traffic prediction that allows extending the sleep time of MTDs by avoiding frequent page monitoring occasions in idle state. Simulation results show the effectiveness of our approach. The traffic prediction errors are shown to be below 4%, being false alarm and miss-detection probabilities respectively below 8.8% and 1.3%. In terms of energy consumption reduction, FWuS can outperform the best benchmark mechanism in up to 32%. Finally, we certify the ability of FWuS to dynamically adapt to traffic density changes, promoting low-power MTC scalability

Evaluation of motor learning in predictable loading task using a force sense presentation device.

Neural circuits connecting the cerebellum with the cerebral cortex are important for both motor and cognitive functions. Therefore, assessment of cerebellar function is clinically important for patients with various motor and cognitive dysfunctions. Cerebellum-dependent motor learning has been studied using various tasks. The most widely used tasks are visuomotor adaptation tasks, in which subjects are required to make movements in two dimensions. Studies using simpler tasks of one-dimensional movement, which are easier for patients with motor problems to perform, have suggested that anticipatory responses in these tasks are useful to evaluate cerebellum-dependent motor control or motor learning. In this study, we examined whether the motor learning process can be evaluated in a simple loading task. Using space interface device for artificial reality (SPIDAR), a constant downward force was loaded to subjects' hands in a predictable condition, and the vertical movement of the hand was recorded. The hand deflection from the initial position was displayed on a screen for visual feedback information. We examined effects of repeated loading task training (90 times) on hand movements, by analyzing a small upward movement just before loading (anticipatory response) and a large downward movement after loading in each trial. We found that the repeated training lowered the time constant of upward movement and reduced the amplitude and time-to-peak of downward movement. These training effects were maintained into the next day. Furthermore, we found that loading task training with eyes closed was also effective, which indicates that proprioceptive information is enough for improvement of performance.

Hand gestures recognition classification

The use of hand gestures for human-machine interaction offers an enticing alternative to bulky interface devices. The current study discusses the classification of gestures in real time and aims to create an algorithm capable of classifying gestural control commands accurately. For the classification of a gesture vocabulary of eight dynamic hand gestures, two separate classifiers were created. The established classifiers were: K-means + rule-based classifier and classifier of to test the accuracy of classification recognition in which a test set of 180 trajectories was categorized, an experiment was conducted. The accuracies obtained for the K-means and Learning classifier systems( LCS ) classifiers, respectively, are 90 and 94 percent.

(Invited) Soft Wearable Biosensors and Bioelectronics for Human Healthcare

In this talk, Dr. Yeo will discuss the fundamental study in soft materials, flexible mechanics, nanomanufacturing, machine learning, and system packaging to develop nanomembrane-based intelligent soft wearable biosensors and bioelectronics. He will also talk about how fundamental science and knowledge can be applied to create various types of wearable soft sensors, circuits, and integrated bioelectronics. Afterward, he will share application examples of the wearable soft system as a portable health monitoring device, disease diagnostic device, therapeutic system, and human-machine interface system. Details of a device design, manufacturing, optimization, signal processing, and classification will be shared at high levels.

Robotic observation pipeline for small bodies in the solar system based on open-source software and commercially available telescope hardware

The observation of small bodies in the Space Environment is an ongoing important task in astronomy. While nowadays new objects are mostly detected in larger sky surveys, several follow-up observations are usually needed for each object to improve the accuracy of orbit determination. In particular objects orbiting close to Earth, so called Near-Earth Objects (NEOs) are of special concern as a small but not negligible fraction of them can have a non-zero impact probability with Earth. Additionally, the observation of manmade space debris and tracking of satellites falls in the same class measurements. Telescopes for these follow-up observations are mainly in a aperture class between 1 m down to approximately 25 cm. These telescopes are often hosted by amateur observatories or dedicated companies like 6ROADS specialized on this type of observation. With upcoming new NEO search campaigns by very wide field of view telescopes, like the Vera C. Rubin Observatory, NASA’s NEO surveyor space mission and ESA’s Flyeye telescopes, the number of NEO discoveries will increase dramatically. This will require an increasing number of useful telescopes for follow-up observations at different geographical locations. While well-equipped amateur astronomers often host instruments which might be capable of creating useful measurements, both observation planning and scheduling, and also analysis are still a major challenge for many observers. In this work we present a fully robotic planning, scheduling and observation pipeline that extends the widely used open-source cross-platform software KStars/Ekos for Instrument Neutral Distributed Interface (INDI) devices. The method consists of algorithms which automatically select NEO candidates with priority according to ESA’s Near-Earth Object Coordination Centre (NEOCC). It then analyses detectable objects (based on limiting magnitudes, geographical position, and time) with preliminary ephemeris from the Minor Planet Center (MPC). Optimal observing slots during the night are calculated and scheduled. Immediately before the measurement the accurate position of the minor body is recalculated and finally the images are taken. Besides the detailed description of all components, we will show a complete robotic hard- and software solution based on our methods.

30.1: Invited Paper: Device Physics and Compact Modeling of Metal Oxide Thin‐Film Transistors

30.1: <i>Invited Paper:</i> Device Physics and Compact Modeling of Metal Oxide Thin‐Film Transistors

Evaluation of thermophysical properties and structure of heat dissipation sheets as thermal interface materials

Thermal interface materials (TIMs) are used in the mounting of semiconductor devices for rapid heat transfer from heat source to heat sink. The advantages of using TIMs include a lower total cost, elimination of liquid cooling, lower system cooling, lower power consumption, longer operating life and safety, and improved performance. However, there exist various interfaces called “air gaps” between the heat source and heat sink, resulting in reduced heat transfer at the interface depending on the thermal conductivity of the air layer. In this study, the structure of a typical heat dissipation sheet was examined, and the results were correlated with the distribution characteristics of the thermophysical properties. The distribution of the thermal diffusivity depended on the dispersion and orientation of graphite in the resin, making it difficult to obtain uniform thermal properties. These results suggest the need to develop new TIMs that can adequately fill the voids at the device interface, especially in a heat-dissipating adhesive that is in the liquid form at the time of use.

Research on grid-connected interoperability technology of battery storage power station

In the context of the large-scale application of energy storage, the PCS and BMS systems of the battery energy storage system need to be connected to the communication network, the communication interaction efficiency is low, and the process is complicated. In order to solve this problem, this paper researches the information exchange mechanism of grid connection to the common problems existing in the information flow level of battery storage power stations connected to the regional power grid. Through the analysis of the function of the battery storage power station, the self-discovery technology and the interoperability technology of the information interface device are mainly studied to solve the technical problem of the plug-and-play information level of the battery storage power station. As a result, the battery storage power station can directly jump from restricted access to orderly access, and the adaptability of battery storage power stations in different application scenarios can be improved.

Supramolecular Interfaces and Reconfigurable Liquids Derived from Cucurbit[7]uril Surfactants.

Nanoparticle surfactants (NPSs) offer a powerful means to stabilize the oil-water interface and construct all-liquid devices with advanced functions. However, as the nanoparticle size decreases to molecular-scale, the binding energy of the NPS to the interface reduces significantly, leading to a dynamic adsorption of NPS and "liquid-like" state of the interfacial assemblies. Here, by using the host-guest recognition between a water-soluble small molecule, cucurbit[7]uril (CB[7]) and an oil-soluble polymer ligand, methyl viologen-terminated polystyrene, a supramolecular NPS model, termed CB[7] surfactant, is described. CB[7] surfactants form and assemble rapidly at the oil-water interface, generating an elastic film with excellent mechanical properties. The binding energy of CB[7] surfactant to the interface is sufficiently high to hold it in a jammed state, transforming the interfacial assemblies from a "liquid-like" to "solid-like" state, enabling the structuring of liquids. With CB[7] surfactants as the emulsifier, O/W, W/O and O/W/O emulsions can be prepared in one step. Owing to the guest-competitive responsiveness of CB[7] surfactants, the assembly/disassembly and jamming/unjamming of CB[7] surfactants can be well controlled, leading to the reconfiguration of all-liquid constructs.

Biomolecule-friendly conducting PEDOT interface for long-term bioelectronic devices

One of the main challenges in biosensing devices is the development of a biocompatible and stable long-term biosensing interface to efficiently convert biological information into detectable electrical signals. Herein, we propose a facile and universal strategy to fabricate protein-encapsulated poly(3,4-ethylenedioxythiophene) polystyrene sulfonate (PEDOT:PSS) materials for signal transduction using the biopolymer chitosan as both the crosslinker of PEDOT:PSS and the bioprotectant of proteins. The solid electrostatic interaction between chitosan and PSS was verified using Fourier-transform infrared spectroscopy (FT-IR) and X-ray diffraction (XRD), which makes PEDOT:PSS curable at room temperature, with good film formability and excellent aqueous stability. Electrochemical measurements revealed a low impedance for electron communication of the PEDOT:PSS/chitosan electrode through the solid-liquid interface. Notably, the bioactivity test using glucose oxidase (GOx) as a model protein encapsulated in PEDOT:PSS/chitosan demonstrated its exceptionally high bioactivity retention (94 % of their original catalytic activity), leading to a biosensor with high sensitivity and stability. Consequently, the developed glucose biosensor demonstrated a broad response range from 0.05 to 36.53 mM and a low limit of detection of 0.02 mM, with favorable long-term stability. To confirm its versatility, the proposed PEDOT:PSS/chitosan platform was successfully employed to detect lactate and epinephrine, which are the main components of biofluids. This work provides a straightforward and effective method for the fabrication of bio-device interfaces, demonstrating significant potential for applications in biosensors, biofuel cells, and other biosensing devices.

Development of a Three-Dimensional Nerve Stretch Growth Device towards an Implantable Neural Interface.

Because of rising traumatic accidents and diseases, the number of patients suffering from nerve injury is increasing. Without effective rehabilitation therapy, the patients will get motor or sensory function losses or even a lifelong disability. As for amputees, neural interface technology can be used to splice nerves and electrical wires together in a way that allows them to control an artificial limb as if it was a natural extension of the body. However, the means the need for an autologous nerve to stimulate axonal regeneration and extension into target tissues, which are limited by the supply of donor nerves. Based on the principle of mechanical force regulating axon growth, in this paper, we developed a three-dimensional nerve stretch growth device for an implantable neural interface. The device consists of three motors controlled by single chip microcomputer and some mechanical parts. The stability and reliability of the device were tested. Then, we used neurons derived from human pluripotent stem cells by small chemical molecules to explore the optimal three-dimensional stretch culture parameters. Furthermore, we found that the axons were intact through 10 rotations per day and 1 mm of horizontal pulling per day. The results of this research will provide convenience for patients treated through an implantable neural interface.

Intuitive assessment of spatial navigation beyond episodic memory: Feasibility and proof of concept in middle-aged and elderly individuals.

Deficits in spatial navigation in three-dimensional space are prevalent in various neurological disorders and are a sensitive cognitive marker for prodromal Alzheimer's disease, but are also associated with non-pathological aging. However, standard neuropsychological tests used in clinical settings lack ecological validity to adequately assess spatial navigation. Experimental paradigms, on the other hand, are often too difficult for seniors or patients with cognitive or motor impairments since most require operating a human interface device (HID) or use complex episodic memory tasks. Here, we introduce an intuitive navigation assessment, which is conceptualized using cognitive models of spatial navigation and designed to account for the limited technical experience and diverging impairments of elderly participants and neurological patients. The brief computer paradigm uses videos of hallways filmed with eye tracking glasses, without employing an episodic memory task or requiring participants to operate a HID. Proof of concept data from 34 healthy, middle-aged and elderly participants (56-78 years) provide evidence for the assessment's feasibility and construct validity as a navigation paradigm. Test performance showed normal distribution and was sensitive to age and education, which needs to be considered when investigating the assessment's psychometric properties in larger samples and clinical populations. Correlations of the navigation assessment with other neuropsychological tests confirmed its dependence on visuospatial skills rather than visual episodic memory, with age driving the association with working memory. The novel paradigm is suitable for a differentiated investigation of spatial navigation in elderly individuals and promising for experimental research in clinical settings.