Suitable Device Research Articles

MnCo2O4/activated carbon wheat husk (ACWH) as a novel electrode material for electrochemical capacitors

Supercapacitors are very suitable devices for energy storage in the coming years. Researches on the introduction of efficient, cost-effective, and environmentally friendly electrodes are still ongoing. In this investigation, we used wheat husk, which is an agricultural waste, for the preparation of carbon with excellent specific surface area to be used in supercapacitors' electrodes. The results of BET analysis showed a specific surface area of 339.04 m2 g−1. In addition to this efficient carbon electrode introduction, we reached the specific capacity of 1392 F/g at current density 1 A/g by the addition of MnCo2O4 composite to the activated carbon wheat husk (ACWH), hence, increasing the conductivity and decreasing the resistance. Also, the results of EIS analysis showed that the resistance due to charge transfer for the wheat husk electrode decreased from about 22 Ω to 3.8 Ω after adding the composite. Comparative investigations were done on the three-electrode system with wheat husk, MnCo2O4, and MnCo2O4/ACWH carbon electrodes. Results indicated that the synergistic effect of the synthesized carbon (with the excellent surface area) along with MnCo2O4 increases the number of active sites and, thus, the specific capacity. Furthermore, using a ACWH improved MnCo2O4 electrode stability so that the synthesized hybrid showed 90.8 % stability after 5000 consecutive cycles.

Proyecto Trazam: aplicación móvil para la trazabilidad de preparaciones elaboradas en un servicio de farmacia

IntroductionThe primary objective of this study is to describe the design and implementation of a mobile application (App) for tracking preparations compounded in the Pharmacy Department. Secondary objectives include evaluating the time spent on resolving incidents related to the distribution of preparations before and after implementation, assessing users satisfaction with the application, and establishing a panel of quality indicators based on the data extracted from the App. MethodsDefining application requirements, identifying drugs to be included in the software and outlining different workflows. Developing the App in collaboration with the supplier and integrating it with the computer programs involved in prescription and validation. Additionally, QR codes were created to identify delivery points at destination units, and suitable mobile devices were acquired. The initial phase involved user training in the application and a pilot test conducted in a hospital ward. The subsequent phase focused on expansion and consolidation. ResultsThe system includes 86.9% of all sterile preparations prepared in the Hospital Pharmacy, encompassing chemotherapy, adult parenteral nutrition, and other non-hazardous sterile preparations. Furthermore, the application has been implemented in all hospitalization wards, day care units and two external sites. On average, 5,403 preparations were tracked per month (SD = 297.3).The time required to address incidents related to the distribution of preparations has decreased by 83% (from 38.9 to 6.6 minutes per day). The App regularly provides valuable management data for optimizing workflow in the compounding area. Additionally, users have expressed satisfaction with the application. DiscusionThe proposed application enables hospital staff to easily and intuitively track preparations compounded in the pharmacy, irrespective of the computer program used for prescription. It has significantly reduced the need for manual record-keeping and has mitigated incidents associated with the distribution of sterile preparations.

Experimental Simulation of Thunderstorm Profiles in an Atmospheric Boundary Layer Wind Tunnel

Thunderstorms have different features in comparison with synoptic events, including a typical nose-shaped mean wind speed profile and non-stationary characteristics in time intervals from 10 min to 1 h. The simulation of thunderstorms in traditional wind tunnels requires suitable devices in order to replicate their peculiar characteristics. Disregarding the non-stationary characteristics of thunderstorm outflows, this paper aims to study the possibility of adopting a passive device such as a specially designed grid in order to reproduce the nose-shaped mean wind speed profile. A widely adopted model of the mean wind velocity profile from the literature is employed as a target profile for the verification of the experimental findings. The results obtained show a good agreement between the measured and target mean wind speed profiles and an acceptable turbulence intensity level compared with full-scale and experimental measurements. The proposed device offers a practical and cost-effective solution to simulate the main characteristics of a thunderstorm event in a traditional atmospheric boundary layer wind tunnel, which could be adopted to assess the significance of thunderstorm loading on civil engineering structures and define the requirement for ad hoc specialist studies.

Fiber grating sensors and their recent applications in biomedical domain

Sensors play an important role in measuring various physio-chemical and biological parameters. Biomedical applications of sensors include early level diagnosis of diseases, treatment technique enhancement and also monitoring the effect of medical techniques using suitable biomedical devices. The sensors which are deemed suitable for biomedical applications need to be fast, accurate, flexible, small, and most importantly, biocompatible. The inherent advantages of fibre optic sensors, such as small foot print, electrical passiveness, multiplexing capability and fast response make them the most preferred for biomedical sensing applications. Fibre optics sensors are generally used in the measurement of parameters such as temperature, strain, pressure, displacement, angle, and force. And find applications in diverse regimes like structural health monitoring, shape sensing, seismic sensing; in the bio medical domain, they have been deployed in gait analysis, pulse rate monitoring, body joint angle measurements, acquisition of respiratory parameters, cardiovascular parameters and many more. Despite being a topic of significant interest in biomedical applications, the adoptablility of optical sensors in clinical practice is not very encouraging. Hence, there is a need to address the reasons for the same, and the present review aims to highlight some critical areas. The present review paper primarily discusses the optical fibre grating techniques: their fabrication methods, the applications of these sensors in biophysical and biomechanical measurements, bio proteins and biomarker detection in body fluids. The review also discusses the bottlenecks in the clinical application of these sensors. The comparison of the performance of the optical fibre sensors with other sensing techniques is also discussed in this review paper.

Automatic Pipeline Parallelism: A Parallel Inference Framework for Deep Learning Applications in 6G Mobile Communication Systems

With the rapid development of wireless communication, achieving the neXt generation Ultra-Reliable and Low-Latency Communications (xURLLC) in 6G mobile communication systems has become a critical problem. Among many applications in xURLLC, deep learning model inference requires improvement over its efficiency. Due to the heterogeneous hardware environment in 6G, parallel schedules from distributed machine learning and edge computing has been borrowed to tackle the efficiency problem. However, traditional parallel schedules suffer from high latency, low throughput, and low device utility. In this paper, we propose Automatic Pipeline Parallelism ( <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AP</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> ), a parallel inference framework for deep learning applications in 6G mobile communication systems, to improve the model inference efficiency while maintaining reliability. <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AP</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> contains three sub-modules. A task-device affinity predictor predicts a task’s expected execution time on a given device. The parallel inference arrangement optimizer finds the most suitable device for each task. The parallel inference scheduler converts the arrangement to a schedule that can be directly executed in the system. The experimental results show that <italic xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">AP</i> <sup xmlns:mml="http://www.w3.org/1998/Math/MathML" xmlns:xlink="http://www.w3.org/1999/xlink">2</sup> can achieve better latency, throughput, reliability, and device utility than other parallel schedules. Also, the priority of the sub-module designs has been approved through the experiments.

Enhancing rotating wick solar still performance with various porous breathable belt designs and nanofluid

The freshwater shortage problem is increasing day after day. Solar stills are suitable devices to overcome this problem for small families and remote areas. However, these devices suffer from their low productivity. Two different modified designs for spinning wick solar stills were tested here. One distiller contained a rotating wick belt with a path of “LC” character shape (LC-RWSS), and the other with a path of “L” shape (L-RWSS). Additionally, the wick type was studied for black cotton and jute wicks. Moreover, the influence of belt-rotation direction (counterclockwise and clockwise) on the performance of solar still has been investigated. The period of wick belt rotation was tested (ON = 5 min and different OFF times = zero, 10, 20, 30, 40, 50, and 60 min). Also, the impact of utilizing graphene quantum dots nanofluid on the performance of LC-RWSS was considered. In addition, the effects of external reflectors and exhaust fan were examined. Results indicated that the jute wick provided more distillate than the cotton cloth. Furthermore, the productivity of LC-RWSS with counterclockwise movement of wick belt was always larger than that with clockwise direction under all different OFF times. In addition, the best output yield of LC-RWSS (at 0.1 rpm with jute wick-counterclockwise) was achieved when operating the wick belt under 30 min OFF and 5 min ON times, the LC still had a daily distillate more than L still by 17%. The thermal efficiency of L still and LC still was 82% and 86%, under 30 min OFF period of belt. With reflectors, exhaust fan and nano, the best output yield of LC-RWSS was provided when operating the belt under 10 min OFF and 5 min ON times. The LC still had a total yield more than that of the L still by 28% with 87% thermal efficiency. Also, the cost of freshwater obtained is 0.016 for LC still with reflectors, fan and nanofluids.

Моделирование эффективной силовой энергоустановки электромобиля с учетом нагрузочных циклов движения

The main problems of this study include an unstable load level, a large number of accelerations and decelerations, as well as a reverse operation of the traction motor. The goal is to develop an energy efficient drive based on the driving cycle to solve the above problems. In this work, an analysis of the WLTC driving cycle was carried out and its main characteristics were studied on the basis of test procedures under various operating conditions. The electric motor (EM) power is calculated based on the characteristics of the selected vehicle. Traction characteristics are built for various acceleration parameters and a specific engine model is selected. The traction drive was simulated based on the WLTC motion cycle in the “Matlab Simulink” software environment. The main model blocks are described and dependencies confirming the adequacy of mathematical modeling are displayed on oscilloscopes. A suitable energy storage device has been selected based on the battery comparison table. Ultimately, the power plant of an electric car was simulated taking into account the WLTC load cycle, under various input parameters and conditions.

Renewable energy driven electroreduction nitrate to ammonia and in-situ ammonia recovery via a flow-through coupled device

Green ammonia production from wastewater via electrochemical nitrate reduction contributes substantially to the realization of carbon neutrality. Nonetheless, the current electrochemical technology is largely limited by the lack of suitable device for efficient and continuous electroreduction nitrate into ammonia and in-situ ammonia recovery. Here, we report a flow-through coupled device composed of a compact electrocatalytic cell for efficient nitrate reduction and a unit to separate the produced ammonia without any pH adjustment and additional energy-input from the circulating nitrate-containing wastewater. Using an efficient and selective Cl-modified Cu foam electrode, nearly 100% NO3− electroreduction efficiency and over 82.5% NH3 Faradaic efficiency was realized for a wide range of nitrate-containing wastewater from 50 to 200 mg NO3−-N L−1. Moreover, this flow-through coupled device can continuingly operate at a large current of 800 mA over 100 h with a sustained NH3 yield rate of 420 μg h−1 cm−2 for nitrate-containing wastewater treatment (50 mg NO3−-N L−1). When driven by solar energy, the flow-through coupled device can also exhibit exceptional real wastewater treatment performance, delivering great potential for practical application. This work paves a new avenue for clean energy production and environmental sustainability as well as carbon neutrality.

Design of PFC Converter Based on Interleave Boost

Based on the principle of stagger boost PFC, this paper expounds the application value of stagger PFC theory by developing a scientific and feasible scheme and using Matlab simulation. According to the subject requirements, the use of UCC28070 to achieve PFC control function. And learn IC functions. Based on the theory of interlaced PFC, the most suitable electronic device is selected to adjust each part of the circuit. Finally, Solidworks and Protel software were used to draw the radiator and PCB boards, then the prototype was made and debugged, and the final result was obtained.

Evaluating the Applicability of Mainstream Wave Energy Converters in the South China Sea

Based on the past ten years of ERA5 wave field data, this study analyzed the distribution of wave energy resources in the coastal waters of each province around the South China Sea. In view of the single resource evaluation method, a regional classification method was established that comprehensively considered the three factors that impact wave energy resource reserves, the suitable water depth of the wave energy conversion device, and the device layout mode that affects energy absorption efficiency. From this information, the locations of key deployment stations around the coastal provinces were determined. Additionally, the CRITIC method was used to build indicators that can comprehensively evaluate the performance of different devices, and the most suitable devices for deployment in the five provinces were identified. The wave energy propagation direction of each key station was analyzed. The results show that the wave energy propagation direction of each station is relatively concentrated, which is convenient since this helps the device absorb and utilize energy more efficiently. Finally, the power generation performance and economic benefits of each key station’s most suitable device were analyzed. This article provides an assessment of the applicability of mainstream wave energy conversion devices in the nearshore area of the South China Sea, which is of great significance for the development and utilization of wave energy resources in the South China Sea’s nearshore waters. It provides a scientific basis for the selection, deployment, operation, and other practical operations of the follow-up devices in the South China Sea, as well as the power generation performance and economic benefits of the devices.

Experiment and numerical study on combustion characteristics of low-nitrogen burners

Low nitrogen combustion has always been an essential topic in energy conservation and environmental protection. This paper proposes a new type of low-nitrogen burner, which aims to optimize the burner structure and reduce NOx emission. Fuel and air staged combustion and central swirl technology are adopted in the burner to reduce local high-temperature areas and NOx generation. The effects of the new low-nitrogen burner's structural parameters and operating parameters on the temperature distribution, velocity distribution and NOx concentration distribution in the furnace are analyzed by cold state experiment and numerical simulation. The results show that: the cyclone blade deflection angle of 30 and the main combustion stage gas nozzle of 3 are the optimal structural parameters. The secondary combustion stage gas ratio of 0.1, the excess air coefficient of 1.05, and the air preheating temperature of 298 K are the optimal working condition parameters. At this moment, the furnace has the highest average temperature, the best combustion efficiency and the lowest NOx emission. These indicates that the novel low-nitrogen burner can be a suitable device for reducing NOx emission.

Does the last 20years paradigm of clinical research using volatile organic compounds to non-invasively diagnose cancer need to change? Challenges and future direction.

Volatile organic compounds (VOCs) have shown great potential as novel biomarkers for cancer detection; however, comprehensive quantitative analysis is lacking. In this study, we performed a bibliometric analysis of non-invasive cancer diagnosis using VOCs to better characterise international trends and to predict future hotspots in this field, and then we focussed on human studies to analyse clinical characteristics for presenting the current controversies and future perspectives of further clinical work. Publications, from 2002 to 2022, were retrieved from the Web of Science Core Collection database. CiteSpace and VOSviewer were used to generate network maps and identify the annual publications, top countries, authors, institutions, journals, references, and keywords. Then, we further screened clinical trials, and the key information was extracted into Microsoft Excel for further systematical analysis. Six hundred and forty-one articles were identified to evaluate research trends, of which 301 clinical trials were selected for further systematical analysis. Overall, the annual publications in this area increased, with an overall upward trend, while the quality of clinical research remains remarkably uneven. The study of non-invasive cancer diagnosis using VOCs would continue to be an active field. However, without stringent clinical design criteria, most suitable acquisition and analysis devices and statistical approaches, a list of exclusive, specific, reliable and reproducible VOCs to identify a disease and these VOCs appearing in a breath at detectable levels at early stage disease, the clinical utility of VOC tests will be difficult to have any breakthroughs.

English Students' Perception Toward E-Learning during COVID-19 in University Level at Surabaya

In COVID-19 pandemic, many activities cannot be carried out as normal, especially in the field of education. Therefore, the government has determined that offline learning is temporarily suspended and learning is carried out online. However, E-learning has many conveniences, there are also obstacles that give rise to various student perceptions. The purpose of this study was to describe student perceptions of E-learning during the COVID-19 period at the university level in Surabaya. This research method uses descriptive qualitative research. The informants in this study were 17 English students in the year 2020 from classes A, B, and E, at PGRI Adi Buana University, Surabaya. Data collection techniques used in this study were questionnaires and interviews. The analytical technique used is the descriptive analysis technique. The results of the study revealed that most of the students had negative perceptions at first. This is due to constraints in infrastructure and connectivity such as poor internet, limited internet data and lack of suitable devices. Students have difficulty understanding the material because unstable connections affect their understanding of the material. In addition, not all lecturers have a good strategy for teaching using E-Learning, and some students feel bored. One of the students also felt stressed with homework. In addition, they have difficulty communicating with their friends and lecturers. Overall, students consider E-learning effective during the pandemic because it is able to overcome obstacles such as connectivity problems, operate LMS (Zoom Meeting, Google Meet, Virlenda) and also all applications (Kahoot, WordWall).

Designing and Reliability Analysis of Radiation Hardened Stacked Gate Junctionless FinFET and CMOS Inverter

Along with radiation sensing, necessity to study and design reliable radiation hardened devices is also increasing now-a-days. These devices are tolerant to high dosage of radiations without causing any physical damage, logic damage or data loss. In the current work, stacked gate Junctionless FinFET (SG JL FinFET) is analyzed as radiation hardened device by studying the impact of radiation of Linear Energy Transfer (LET) values ranging from 2MeV.cm/mg to 10MeV.cm/mg on the device performance. The proposed radiation hardened FinFET is experimentally calibrated with pre and post irradiation data. Single event upset (SEU) study using transient analysis is carried out to study the performance of proposed radiation hardened device at microwave frequency. High-k material-hafnium dioxide is used as gate oxide material to improve radiation hardness of SG JL FinFET. Electrical parameters-drain current, surface potential and SEU generation rate are studied to analyze device characteristics. Optimization of gate oxide, doping concentration, gate metals and temperature is carried out to enhance the reliability of device in terms of radiation hardness. SG JL FinFET is exposed to different types of waves-UV rays, X-ray, and Gamma rays to study the response of device at different frequencies. The comparison of SG JL and SG Inversion Mode (IM) FinFET has been performed. Comparison of SG JL FinFET with previously reported Inverted mode FinFET, L-shaped tunnel FET and Fully Depleted Silicon on Insulator (FD-SOI) MOSFET is carried out to find most suitable device which can provide highest immunity to radiation exposure. Response of JL FinFET based CMOS inverter in presence of radiation is studied and is also compared with other available CMOS inverters.

Estimating Load Transfer Efficiency for Jointed Pavements from TSD Deflection Velocity Measurements

Transverse joints are the weakest element of jointed pavements, and when these joints lack structural capacity, the onset of load-related distress is imminent. The most widespread measurement of the joints’ structural performance is the Load Transfer Efficiency Index (LTE), a ratio of the deflection of the two adjoining slabs. LTE can easily be assessed with a falling weight deflectometer, but this test procedure is not advisable for evaluation at the network level because of user safety concerns and because it can be excessively time-consuming. Traffic speed deflection devices like the traffic speed deflectometer (TSD) are suitable devices for network-level pavement structural evaluation. Yet, as of today, no interpretation technique to get structural health metrics for jointed pavements from TSD data has been published. In this paper, a backcalculation scheme based on slab theory is proposed to estimate the joints’ LTE from TSD deflection velocity measurements. The backcalculation problem formulation and its numerical solution using fast procedures are described in detail. The approach is tested with TSD data collected on the MnROAD test track. Overall, it was found that the backcalculation converges to reasonable estimates of the pavement structural properties and can furnish LTE estimates for most transverse joints from 5 cm-resolution TSD data, all at a reasonable computational cost. This allows for corridor-wide LTE assessment of a pavement’s joints using TSD measurements.

Design and Experiment of Lightweight Dual-Mode Automatic Variable-Rate Fertilization Device and Control System

China’s agricultural facilities are developing rapidly and are mainly operated through household contracting. Due to a lack of suitable variable-rate fertilization devices, manual and blind fertilization still widely exists, resulting in fertilizer waste and environmental pollution. Meanwhile, existing fertilization devices cannot simultaneously meet the needs of different fertilization methods for crop cultivation, increasing the cost of mechanized fertilization. This study developed a lightweight dual-mode automatic variable-rate fertilization device and control system for strip fertilization and spreading fertilization. The least squares method was used to analyze the amount of fertilizer discharged per second at different volumes and rotational speeds of the fertilization device. The quadratic polynomial model fits well, with determination coefficients greater than 0.99. The automatic variable strip fertilization and spreading fertilization control models were established. Experiments with strip fertilization and spreading fertilization were carried out. The results of strip fertilization experiments show that the maximum relative error (Re) for granular nitrogen fertilizer (NF) was 6.81%, compound fertilizer (CF) was 6.2%, organic compound fertilizer (OCF) was 6.83%, and the maximum coefficient of variation (Cv) of uniformity was 8.91%. The results of spreading fertilization experiments show that the maximum Re of granular NF was 7.31%, granular CF was 6.76%, granular OCF was 7.43%, the Cv of lateral uniformity was 9.88%, and the Cv of total uniformity was 14.17%. The developed fertilization device and control system can meet the needs of different fertilization amounts, types, and methods for facility crop cultivation at different stages. This study’s results can provide a theoretical basis and technical support for designing and optimizing multifunctional precision variable-rate fertilization devices and control systems.

Technology-enhanced or Technology-exhausted Learning in Adult Migrant Literacy Education in Finland: Exploring Teachers’ Experiences and Views in Pre-pandemic and Pandemic Times

This exploratory mixed data study investigated the role of technology in adult migrant language and late literacy education in Finland. In addition to an online pre-pandemic survey targeted at Finnish language and literacy teachers, four in-service teachers were interviewed during the COVID-19 pandemic in late 2020. With means of qualitative content analysis an account of teachers’ individual experiences and views of technology-equipped language and literacy learning was generated. Problematic issues were the use of devices for educational purposes, lacking user experience, inadequate provision of suitable devices, IT courses, and insufficient support for learners and teachers, causing inequality. Teachers reported of various ways to ensure and enable device access and learning opportunities, resulting particularly during pandemic times in high workloads. The emergency remote teaching circumstances during this global health crisis posed an enormous additional challenge for teachers and students. Findings raise questions about the pedagogical cost of the pandemic for adult migrant literacy education in Finland and call for discussions on post-pandemic changes on a national and international level.

White Light to Near-IR Chargeable Single Component Photocapacitor Based on Donor-chromophore-Acceptor Dyes.

Power sources that can be charged anytime and anywhere are highly desirable for mobile devices. The most suitable device for achieving such wireless charging is a photocapacitor, which utilizes light as a renewable energy source instead of electricity from the grid. Sunlight on Earth is intermittent and unstable, so photocapacitors that can be charged by the day or room light and near-infrared (near-IR) radiation are needed to ensure the uninterrupted operation of the equipment. We employ a single dye-sensitized solar cell as a photocapacitor without adding any additional charge storage components to reduce the cost and complexity of device manufacturing. To realize such photocapacitors, this work presents a family of new isoindigo-based D-π-A photoactive dyes with good visible and near-IR absorption. Notably, LF15 has a higher molar absorbance coefficient and enhanced dye-loading than LF23, which is consistent with the higher photocurrent of photocapacitors based on the former. Photocapacitors based on these three dyes achieve photovoltages up to 0.74 V, area-specific capacitances of 2.87 mF cm-2 , and excellent charge-discharge stability. The devices can be charged in both visible and near-IR conditions, exhibiting typical capacitor behavior.

Ultrathin AlO x layer modified ferroelectric organic field-effect transistor for artificial synaptic characteristics

The challenges associated with autonomous information processing and storage will be resolved by neuromorphic computing, which takes inspiration from neural networks in the human brain. To create suitable artificial synaptic devices for artificial intelligence, it is essential to look for approaches to improve device performance. In the present study, we suggest a method to address this problem by inserting an ultrathin AlO X layer at the side of ferroelectric film for the prepared ferroelectric organic effect transistor (Fe-OFET) to modify a ferroelectric polymer film with a low coercive field. The transistors parameters are greatly improved (large memory window exceeding 14 V, high on-off current ratio of 103, and hole mobility up to 10−2 cm2 V−1 s−1). Furthermore, the optimized high-performance Fe-OFET with 2 nm thickness of AlO X layer is found to have synaptic behaviors including postsynaptic current, short-term/long-term plasticity, spike-amplitude-dependent plasticity, spike-duration-dependent plasticity, paired-pulse facilitation, spike-rate-dependent plasticity, and spike-number-dependent plasticity. An outstanding learning accuracy of 87.5% is demonstrated by an imitated artificial neural network made up of Fe-OFET for a big image version of handwritten digits (28 × 28 pixel) from the Modified National Institute of Standards and Technology dataset. By improving synaptic transistor performance in this way, a new generation of neuromorphic computing systems is set to be developed.

Orthovanillin azine ester as a potential functional material for organic electronic devices

The present study reports the synthesis of OVAE, an ester of ortho-vanillin azine, and its structural characterization using spectral and single crystal-XRD studies. Intermolecular interactions of OVAE are investigated using the Hirshfield surface analysis, 3D Hirshfield surface maps, 2D fingerprint plots, and electrostatic energy frameworks. Good thermal stability in thermogravimetric analysis, irreversible redox peaks in electrochemical studies, high carrier concentration and dielectric constant in electrical measurements, uniform films observed upon surface morphology examination, fabrication of a diode, the obtained current-voltage characteristics, dielectric constant and frequency-dependent AC conductivities directed towards the use of OVAE as a potential semiconducting functional material in suitable electronic devices. Based on cyclic voltammetry and AC impedance response, the performance of OVAE as an electrode material is explored by constructing a supercapacitor, which exhibited a specific capacitance of 56 Fg−1 at 10 mV s−1.