Recording Capabilities Research Articles

Long‐Term Neural Recording Performance of PEDOT/CNT/Dexamethasone‐Coated Electrode Array Implanted in Visual Cortex of Rats

Implantable neural electrode arrays can be inserted in the brain to provide single‐cell electrophysiology recording for neuroscience research and brain–machine interface applications. However, maintaining signal quality over time is complicated by inflammatory tissue responses and degradation of electrode materials. Organic electrode coatings offer a solution by enhancing recording and stimulation capabilities, including reduced impedance, increased charge injection capacity, and the ability to incorporate and release anti‐inflammatory drugs. Herein, acid‐functionalized multiwalled carbon nanotubes (CNTs) loaded with dexamethasone (Dex) are incorporated into poly(3,4‐ethylendioxythiophene) (PEDOT) as electrode coatings. The electrochemical stability and recording performance of the PEDOT/CNT/Dex coating over an extended period of ≈18 months are investigated. Cyclic voltammetry (CV) stimulation is used to release Dex in half of the recording sites during the first 11 days of implantation to reduce the acute inflammation. The PEDOT/CNT/Dex‐coated floating microelectrode arrays demonstrate stable in vivo electrode impedance and successful detection of visually evoked neural activity from the rat visual cortex even at chronic time points. Additionally, the CV‐stimulated sites exhibit higher single‐unit (SU) recording yield, amplitudes, and signal‐to‐noise ratio compared to unstimulated sites. These results highlight the potential of anti‐inflammatory treatments to improve the quality and longevity of chronic neural recordings.

Remotely Operated Video Enhanced Receiver

The "Remotely Operated Video Enhanced Receiver (ROVER) is a versatile system designed for remote environmental monitoring and data acquisition, tailored for challenging terrains, including extraterrestrial surfaces such as the Moon. The project integrates multiple sensors and a real-time video system to provide precise and actionable insights. A soil moisture sensor detects the presence of water or moisture in the substrate, triggering an LED to blink as an indicator. Additionally, a smoke and gas detector identifies harmful gases or smoke in the air, with an LED notification to alert the user to environmental hazards. These features make the system highly effective for monitoring and exploration in remote or hazardous environments. The system also employs an LDR (Light Dependent Resistor) to automatically activate the solar panel, optimizing energy usage by harnessing sunlight when available. A camera module provides real-time video streaming and recording capabilities, enabling visual observation of the surroundings. Designed for remote operation, ROVER offers a practical solution for applications such as planetary exploration, environmental hazard monitoring, and autonomous research operations. The integration of sensors with automated alerts and video recording enhances its usability and reliability for various scientific and industrial purposes.

Responsive e-learning dynamic assessment structure using intelligent learning design

A previously created e-learning model and learning system research have been conducted based on the 'one size fits all' idea. This approach ignores the distinctions between learners and pupils, delivering the same educational content to each one. With the advent of a new R&D style, researchers' and students' demands and preferences will shift. These days, quick e-learning courses come with online videos, audios, and desktop recording capabilities that used to need separate software. In contrast to printed textual lectures, students learn more effectively and enhance their abilities using onscreen instructional materials. As a consequence, there is a need for more adaptable learning and knowledge-based e-learning model assessment. This article focusses mostly on the learner modelling module and illustrates an adaptable model for an e-learning system. Students who are modelling are accountable for meeting this criteria in order to assess the degree of performance of learners in an online learning environment and satisfy specific needs.

An assessment of clinical reception training using standard patient and dental simulator in prosthodontic dentistry for dental undergraduates: a historical control trial

BackgroundClinical reception training plays a crucial role in developing undergraduates’ clinical thinking and competence. The study aimed to evaluate the effectiveness of clinical reception training conducted by standard patients (SPs) and dental simulators among undergraduate students.Materials and methodsIn the first week of the internship, sixty-five 5th-year undergraduate students were divided into two groups: SP group, which received traditional theoretical training along with clinical reception training, and control group that only received traditional theoretical training. After 2 weeks and 8 weeks of training, all students were assessed with real patients by experienced prosthodontists using Mini-CEX assessment score sheets. Statistical analysis was performed using independent-samples T test or repeated-measures ANOVA (P < 0.05).ResultsThe total performance of interns in the SP group was superior to that of the control group, particularly in history taking, physical examination, and doctor-patient communication (P < 0.05). There were no significant differences between the two groups in terms of clinical judgement, medical record, and overall capabilities. Both groups showed improved results after 8 weeks compared to those obtained after 2 weeks.ConclusionIntegrating SPs and dental simulators into clinical reception training can effectively enhance undergraduate students’ ability in history taking, physical examination, and doctor-patient communication. This training method effectively aids in mastering the reception process and is recommended for wider implementation in dental undergraduate education.

A Combined CNN-LSTM Network for Ship Classification on SAR Images.

Satellite SAR (synthetic aperture radar) imagery offers global coverage and all-weather recording capabilities, making it valuable for applications like remote sensing and maritime surveillance. However, its use in machine learning-based automatic target classification faces challenges, including the limited availability of SAR target training samples and the inherent constraints of SAR images, which provide less detailed features compared to natural images. These issues hinder the effective training of convolutional neural networks (CNNs) and complicate the transfer learning process due to the distinct imaging mechanisms of SAR and natural images. To address these challenges, we propose a shallow CNN architecture specifically designed to optimize performance on SAR datasets. Evaluations were performed on three datasets: FUSAR-Ship, OpenSARShip, and MSTAR. While the FUSAR-Ship and OpenSARShip datasets present difficulties due to their limited and imbalanced class distributions, MSTAR serves as a benchmark with balanced classes. To compare and optimize the proposed shallow architecture, we examine various properties of CNN components, such as the filter numbers and sizes in the convolution layers, to reduce redundancy, improve discrimination capability, and decrease network size and learning time. In the second phase of this paper, we combine the CNN with Long short-term memory (LSTM) networks to enhance SAR image classification. Comparative experiments with six state-of-the-art CNN architectures (VGG16, ResNet50, Xception, DenseNet121, EfficientNetB0, and MobileNetV2) demonstrate the superiority of the proposed approach, achieving competitive accuracy while significantly reducing training times and network complexity. This study underscores the potential of customized architectures to address SAR-specific challenges and enhance the efficiency of target classification.

Development of a Financial Management Application for Boarding Students Using the Waterfall Method An Effective Solution for Managing Budgets and Expenses

Financial management is a considerable difficulty for students residing in boarding homes, who often possess restricted revenue sources and diverse expenditure requirements. An extravagant lifestyle coupled with inadequate financial literacy frequently results in students encountering difficulties with budgeting and experiencing financial crises at month’s end. This study seeks to create a web-based financial management tool employing the Waterfall methodology, intended to assist students in documenting income and expenditures, managing budgets, and enhancing their financial literacy. The Waterfall technique is methodically executed through the phases of requirements analysis, design utilising UML, implementation employing tools such as Vscode and MySQL, and testing to verify the application's operation. This program has transaction recording capabilities, financial reporting, and profile management, enabling students to efficiently track cash flow and assess spending habits. The research findings indicate that this application assists students residing in boarding homes in managing their funds more systematically, mitigates the danger of extravagance, and enhances awareness of the significance of effective financial management. This application aims to enhance students' independence in money management and facilitate their preparation for a secure financial future

Label-Free Single-Cell Cancer Classification from the Spatial Distribution of Adhesion Contact Kinetics.

There is an increasing need for simple-to-use, noninvasive, and rapid tools to identify and separate various cell types or subtypes at the single-cell level with sufficient throughput. Often, the selection of cells based on their direct biological activity would be advantageous. These steps are critical in immune therapy, regenerative medicine, cancer diagnostics, and effective treatment. Today, live cell selection procedures incorporate some kind of biomolecular labeling or other invasive measures, which may impact cellular functionality or cause damage to the cells. In this study, we first introduce a highly accurate single-cell segmentation methodology by combining the high spatial resolution of a phase-contrast microscope with the adhesion kinetic recording capability of a resonant waveguide grating (RWG) biosensor. We present a classification workflow that incorporates the semiautomatic separation and classification of single cells from the measurement data captured by an RWG-based biosensor for adhesion kinetics data and a phase-contrast microscope for highly accurate spatial resolution. The methodology was tested with one healthy and six cancer cell types recorded with two functionalized coatings. The data set contains over 5000 single-cell samples for each surface and over 12,000 samples in total. We compare and evaluate the classification using these two types of surfaces (fibronectin and noncoated) with different segmentation strategies and measurement timespans applied to our classifiers. The overall classification performance reached nearly 95% with the best models showing that our proof-of-concept methodology could be adapted for real-life automatic diagnostics use cases. The label-free measurement technique has no impact on cellular functionality, directly measures cellular activity, and can be easily tuned to a specific application by varying the sensor coating. These features make it suitable for applications requiring further processing of selected cells.

PENERAPAN APLIKASI CLICK EXCEL ACCOUNTING DALAM PENGELOLAAN KEUANGAN PADA UMKM DEPOT AIR VIAR

Depot Air VIAR is a business providing drinking water refilling services, which faces challenges in financial recording and management using manual methods. This results in slow, less accurate record-keeping and difficulties for the owner in preparing timely financial reports. Based on interviews with the owner, two main issues were identified: limited financial recording capabilities and difficulties in preparing accurate financial reports. To address these issues, this project aims to assist Depot Air VIAR by implementing the Click Excel Accounting (CEA) Application for more effective financial recording and more accurate and timely financial reporting. Through observation, interviews, consultations, and report preparation, the CEA application was implemented to record transactions and generate automated financial reports. This application enables more structured, accurate, and efficient transaction recording. The results of this project demonstrate a significant improvement in the financial management of Depot Air VIAR, with better record-keeping and more timely financial reports, supporting more effective decision-making and business development.

Chronic implantable flexible serpentine probe reveals impaired spatial coding of place cells in epilepsy.

The development of minimally invasive and reliable electrode probes for neural signal recording is crucial for advancing neuroscience and treating major brain disorders. Flexible neural probes offer superior long-term recording capabilities over traditional rigid probes. This study introduces a parylene-based serpentine electrode probe for stable, long-term neural monitoring. Inspired by the flexibility and morphology of snakes, the serpentine design of the probe ensures stable anchorage within the brain tissue during subject movement. The probe features a hydrophilic surface and is combined with a biodegradable silk fibroin-polyethylene glycol coating, significantly enhancing biocompatibility and mitigating inflammatory responses. In vivo experiments demonstrate that these probes enable stable, high-quality neural recordings for >8months. The probes are also used to investigate the neural bases of epilepsy-induced cognitive deficits. By analysing place-cell dynamics in mice pre- and post-epileptic events, we identified the correlation between impaired spatial encoding and the observed cognitive deficits in epileptic mice. This study highlights the potential of our flexible probes in neurological research and medical applications.

Analysis of Energy Transfer in the Ignition System for High-Speed Combustion Engines

In order to produce reliable and reproducible ignition of lean fuel–air mixtures and highly stratified mixtures, it is necessary to ensure a high concentration of spark discharge energy and to provide a strong energy impulse for the triggering of chain processes of chemical decomposition of fuel molecules. For this reason, studies have been undertaken on the flow of electrical energy from the ignition system to the spark plug and on the formation of an electric discharge arc with a high concentration of thermal energy. The experimental results were obtained using an ignition coil energy test stand and a constant volume chamber with high-speed spark discharge recording capability. It was confirmed that increasing the charging time of the ignition coil from 0.5 ms to 5.0 ms increases the energy delivered to the coil from 9.5 mJ to 330 mJ. In the same range, the energy generated by the coil was recorded to range from 4.2 mJ to 70 mJ. The coil’s efficiency was found to decrease with increasing charging time from 45% up to 20.5%. Further energy losses were presented when the spark discharge energy was analyzed. In the paper, the results of investigations concerning electric discharge arc development have been presented, illustrated by a few exemplary photos, and discussed. The mathematical interpretation of the electrical energy flux in the ignition system resulting from the energy of the discharge arc has been conducted and illustrated by some functional independences and relationships.

Fully Implantable Wireless Cardiac Pacing and Sensing System Integrated with Hydrogel Electrodes.

Cardiac pacemakers play a crucial role in arrhythmia treatment. Existing devices typically rely on rigid electrode components, leading to potential issues such as heart damage and detachment during prolonged cardiac motion due to the mechanical mismatch with cardiac tissue. Additionally, traditional pacemakers, with their batteries and percutaneous leads, introduce infection risks and limit freedom of movement. A wireless, battery-free multifunctional bioelectronic device for cardiac pacing is developed. This device integrates highly conductive (160Sm-1), flexible (Young's modulus of 80kPa is similar to that of mammalian heart tissue), and stretchable (270%) soft hydrogel electrodes, providing high signal-to-noise ratio (≈28dB) electrocardiogram (ECG)recordings and effective pacing of the beating heart. The versatile device detects physiological and biochemical signals in the cardiac environment and allows for adjustable pacing in vivo studies. Remarkably, it maintained recording and pacing capabilities 31 days post-implantation in rats. Additionally, the wireless bioelectronic device can be fully implanted in rabbits for pacing. By addressing a major shortcoming of conventional pacemakers, this device paves the way for implantable flexible bioelectronics, which offers promising opportunities for advanced cardiac therapies.

Assessing the Earthquake Recording Capability of an Ocean-Bottom Distributed Acoustic Sensing Array in the Sanriku Region, Japan

Assessing the Earthquake Recording Capability of an Ocean-Bottom Distributed Acoustic Sensing Array in the Sanriku Region, Japan

Utilization of in-situ self-supporting materials for the preparation of flexible and stretchable electrodes for the detection of nitric oxide released from cells

Real-time monitoring of nitric oxide from endogenously cells released is crucial for revealing their physiological activities or pathological processes. However, designing electrochemical sensors for real-time monitoring at the cellular level is challenging due to the simultaneous requirements of sensitivity, transient recording capability, and biocompatibility. Combining the universally self-supported grown highly active materials with stretchable conductive flexible substrates holds promise for achieving sensitive detection of cells and real-time monitoring of mechanically induced biomolecular release. However, existing manufacturing strategies for highly sensitive stretchable flexible electrochemical sensors still face significant challenges due to low material activity, high processing requirements, and the complexity of further designing membrane electrodes. Here, we designed a method of in-situ self-supported growth to grow Co-doped Ni(OH)2 structures on rigid Ti foil. Leveraging the synergistic effect of Co and Ni, sensitive detection of NO was achieved, enabling real-time monitoring of trace amounts of NO released by Raw 264.7 cells. Based on this material, using catalytic ink method, it was transferred to low-resistance flexible ITO film (LIF), enabling real-time monitoring of mechanically induced NO release from Human Umbilical Vein Endothelial Cells (HUVECs) cells.

An Integrated Optogenetic and Bioelectronic Platform for Regulating Cardiomyocyte Function.

Bioelectronic medicine is emerging as a powerful approach for restoring lost endogenous functions and addressing life-altering maladies such as cardiac disorders. Systems that incorporate both modulation of cellular function and recording capabilities can enhance the utility of these approaches and their customization to the needs of each patient. Here we report an integrated optogenetic and bioelectronic platform for stable and long-term stimulation and monitoring of cardiomyocyte function in vitro. Optical inputs are achieved through the expression of a photoactivatable adenylyl cyclase, that when irradiated with blue light causes a dose-dependent and time-limited increase in the secondary messenger cyclic adenosine monophosphate with subsequent rise in autonomous cardiomyocyte beating rate. Bioelectronic readouts are obtained through a multi-electrode array that measures real-time electrophysiological responses at 32 spatially-distinct locations. Irradiation at 27 µW mm-2 results in a 14% elevation of the beating rate within 20-25 min, which remains stable for at least 2 h. The beating rate can be cycled through "on" and "off" light states, and its magnitude is a monotonic function of irradiation intensity. The integrated platform can be extended to stretchable and flexible substrates, and can open new avenues in bioelectronic medicine, including closed-loop systems for cardiac regulation and intervention, for example, in the context of arrythmias.

The Influence of Development of Tourist Object Locations on the Economic Growth of Umkm with the Capability of Financial Recording According to Sak Etab as an Intervening Variable

The Influence of Development of Tourist Object Locations on the Economic Growth of Umkm with the Capability of Financial Recording According to Sak Etab as an Intervening Variable

Utilizing Technology to Fill the Ambulatory Care Communicable Disease Practice Gap

Background: Infection Prevention (IP) practices in ambulatory care are often reactive and many communicable diseases in the community often do not fall onto IP’s radar until the patient becomes ill enough to seek inpatient services. The gap between ambulatory and inpatient care can lead to increased transmission and illness severity. Early identification has substantial impacts on timely implementation of IP mitigation strategies, appropriate handoff upon entry into other care settings, and timely reporting to public health organizations. Current IP processes underutilize electronic health record (EHR) capabilities by relying upon lab driven notifications. This project sought to redesign the IP’s workflows, advancing the health system beyond the acute care setting and into the ambulatory care setting by adding the power of diagnosis codes to close a practice gap. Method: Infection Prevention and Information Technology collaborated to build silent best practice advisories (BPAs) in the EHR that utilized diagnosis codes related to Varicella zoster (VZV) infection charted by ambulatory care providers. These BPAs function by triggering infection statuses that populate the patient chart and include instructions to front line staff on personal protective equipment (PPE) requirements. These BPAs also trigger real-time notifications to the IP team to determine the validity of the infection status and exposure work-up necessity. Chart reviews of diagnosis codes utilized in pre and post intervention timeframes were completed to understand the impact of the silent BPAs. Percentages of patients captured, and Healthcare Worker (HCW) exposure reviews reported were evaluated to demonstrate effectiveness. Plan, Do, Study, Act (PDSA) was utilized to respond to gaps, increase efficiency, and limit erroneous infection statuses. Result: The one-year pre-intervention period revealed 36 total diagnosis codes used for Varicella zoster (VZV) infection; 3% of these infection cases were captured and 4% of eligible cases were reported for HCW exposure review. The one-year post intervention period revealed 40 total diagnosis codes used for VZV infection; 80% of these infection cases were captured and 70% of eligible cases were reported for HCW exposure review. PDSA quality improvement cycles allowed for refinement of the BPA logic that further increased infection cases captured to 100% with 100% of eligible cases reported for HCW exposure review. Conclusion: Utilizing the EHR, the organization appreciated enhanced identification of patients in real-time with VZV infection that allowed for appropriate mitigation strategies to be implemented. This proactive workflow design helps minimize the risk of transmission between ambulatory and acute settings and facilitated HCW exposure reviews.

Improving Digital Sales and Marketing Recording Capabilities for UMKM Carving Craftsmen in Sumita Village, Gianyar Regency, Bali Province

Kuliah Kerja Nyata (KKN) is an extracurricular activity and community service program that students carry out. This program is typically part of the university curriculum and is required to complete an undergraduate degree. Sumita Village is one of the villages that has established a partnership with Warmadewa University. During the KKN, students identified several issues SMEs (Small and medium enterprises) faced regarding carving artisans in Sumita Village. The main problem in Sumita Village is adequate sales record-keeping among the carving artisans and their limited understanding of digital sales concepts. These issues have prevented the artisans in Sumita Village from expanding their sales to reach a broader market. Based on these findings, the KKN activities in Sumita Village designed a program to provide training on sales record-keeping and online sales. After implementing this program, the impact on the community included an increased understanding of the importance of sales record-keeping among the partners, who have also been able to create simple sales records. Additionally, the partners understood the concept of online sales, enabling them to apply this system to expand their market reach.

A 382nVrms 100GΩ@50Hz Active Electrode for Dry-Electrode EEG Recording.

This article describes a low noise and ultra-high input impedance active electrode (AE) interface chip for dry-electrode EEG recording. To compensate the input parasitic capacitance and the ESD leakage, power/ground/ESD bootstrapping is proposed. This design integrates chopping stabilization technique to suppress flicker noise of the amplifier which has never been tackled in previous bootstrapped AE design. Both on-chip and off-chip input routing is active shielded to minimize wire parasitic. Fabricated in a 0.18μm CMOS process, the AE core occupies about 0.056mm2 and draws 17.95μA from a 1.8V supply. The proposed AE achieves 100GΩ input impedance at 50Hz and over 1GΩ at 1kHz with a low input-referred noise of 382nVrms integrated from 0.5Hz to 70Hz. This design is the first 100GΩ@50Hz input impedance chopper stabilized AE compared to the state-of-the-art. Dry-electrode EEG recording capability of the proposed AE are verified on three types of experiments including spontaneous α-wave, event related potential and steady-state visual evoked potential.

Monolayer, open-mesh, pristine PEDOT:PSS-based conformal brain implants for fully MRI-compatible neural interfaces

Understanding brain function is essential for advancing our comprehension of human cognition, behavior, and neurological disorders. Magnetic resonance imaging (MRI) stands out as a powerful tool for exploring brain function, providing detailed insights into its structure and physiology. Combining MRI technology with electrophysiological recording system can enhance the comprehension of brain functionality through synergistic effects. However, the integration of neural implants with MRI technology presents challenges because of its strong electromagnetic (EM) energy during MRI scans. Therefore, MRI-compatible neural implants should facilitate detailed investigation of neural activities and brain functions in real-time in high resolution, without compromising patient safety and imaging quality. Here, we introduce the fully MRI-compatible monolayer open-mesh pristine PEDOT:PSS neural interface. This approach addresses the challenges encountered while using traditional metal-based electrodes in the MRI environment such as induced heat or imaging artifacts. PEDOT:PSS has a diamagnetic property with low electrical conductivity and negative magnetic susceptibility similar to human tissues. Furthermore, by adopting the optimized open-mesh structure, the induced currents generated by EM energy are significantly diminished, leading to optimized MRI compatibility. Through simulations and experiments, our PEDOT:PSS-based open-mesh electrodes showed improved performance in reducing heat generation and eliminating imaging artifacts in an MRI environment. The electrophysiological recording capability was also validated by measuring the local field potential (LFP) from the somatosensory cortex with an in vivo experiment. The development of neural implants with maximized MRI compatibility indicates the possibility of potential tools for future neural diagnostics.

Assessment of chemotherapeutic effects on cancer cells using adhesion noise spectroscopy.

With cancer as one of the leading causes of death worldwide, there is a need for the development of accurate, cost-effective, easy-to-use, and fast drug-testing assays. While the NCI 60 cell-line screening as the gold standard is based on a colorimetric assay, monitoring cells electrically constitutes a label-free and non-invasive tool to assess the cytotoxic effects of a chemotherapeutic treatment on cancer cells. For decades, impedance-based cellular assays extensively investigated various cell characteristics affected by drug treatment but lack spatiotemporal resolution. With progress in microelectrode fabrication, high-density Complementary Metal Oxide Semiconductor (CMOS)-based microelectrode arrays (MEAs) with subcellular resolution and time-continuous recording capability emerged as a potent alternative. In this article, we present a new cell adhesion noise (CAN)-based electrical imaging technique to expand CMOS MEA cell-biology applications: CAN spectroscopy enables drug screening quantification with single-cell spatial resolution. The chemotherapeutic agent 5-Fluorouracil exerts a cytotoxic effect on colorectal cancer (CRC) cells hampering cell proliferation and lowering cell viability. For proof-of-concept, we found sufficient accuracy and reproducibility for CAN spectroscopy compared to a commercially available standard colorimetric biological assay. This label-free, non-invasive, and fast electrical imaging technique complements standardized cancer screening methods with significant advances over established impedance-based approaches.