Sampling Density Research Articles

PROGRAMMABLE BEHAVIOR OF THE METAMATERIAL BY KINDS OF UNIT CELLS CONNECTION

The paper is devoted to the numerical analysis of uniaxial loading of a sample of the mechanical metamaterial. The structure of the mechanical metamaterial is constructed of a ring and four ligaments, which make up a tetrachiral structure. The peculiarity of such a structure consists in torsion of the sample under the force load. Two methods of connecting cells in the metamaterial are considered: "adjoining" and "overlapping". The "adjoining" method of joining cells increases the thickness of the internal structure of the sample, which allows us to consider it as a topological defect of the metamaterial. The "overlapping" method saves the base material from which the tetrachiral structure is constructed. Differences in the structure when constructing a three-dimensional sample result in a significant change in the characteristics of the sample. Numerical solution of the problem is performed in a three-dimensional formulation using the finite element method. The constitutive relation describing the behavior of the model corresponds to Hooke's law. Numerical simulation of uniaxial loading made it possible to obtain the results of mechanical response and to analyze the effective properties of metamaterials. A topological defect in the form of a thickening of the internal structure elements led to a difference in the linear dimensions of the two samples. The increased thickness of the unit cell connection elements resulted in a decrease in the effective density of the metamaterial sample. The same sample showed a triple increase in the value of the elastic modulus. The greater ability to resist deformation resulted in a reduced twist effect compared to the sample whose cells were joined by the "overlapping" method. The results obtained will make it possible to program the mechanical behavior and properties of the metamaterial sample.

Presence of zooplankton, eggs, and resting stages in ballast water samples from the Laurentian Great Lakes

To minimize the introduction and spread of aquatic nuisance species, the United States Coast Guard (USCG) and the International Maritime Organization (IMO) regulate the allowed microbe, protist, and zooplankton densities present in ballast water discharged from commercial ships. However, the density of eggs and resting stages in ballast discharge are not routinely assessed when determining the effectiveness of ballast water treatment systems.While the density of eggs and resting stages found in residual sediment has been examined by various researchers, the density in ballast water uptake and discharge samples was previously unexamined. Untreated uptake and discharge ballast water samples from 2017, 2022, and 2023, collected on ships within the Laurentian Great Lakes from August through January, were analyzed for eggs and resting stages. The samples contained a total density of 325–140,859 eggs and resting stages per cubic meter. These results demonstrate that uncounted eggs and resting stages are present in ballast water, contributing to the risk of spreading aquatic nuisance species within the Great Lakes.

Tribological and radiation shielding response of novel titanium-boron nitride coatings for lunar structural components

Aluminum (Al) and titanium (Ti) lightweight alloys play a crucial role in space systems due to their exceptional strength-to-weight ratio. However, their premature failure in the presence of lunar regolith and their lack of neutron shielding ability are significant challenges. To address these issues, we have developed air and vacuum plasma-sprayed hBN (hexagonal Boron Nitride) -reinforced titanium coatings with 2 and 10 vol% of hBN. Tribological studies conducted with JSC-1 A lunar regolith simulant revealed a 90 % reduction in wear volume for the Ti/2 vol% hBN coatings compared to conventional materials due to the synergistic action of harder secondary phases and solid lubrication effect of hBN. Additionally, a 27 % enhancement in radiation shielding is obtained based on the mass absorption coefficient (radiation absorbed per sample density and thickness) for VPS Ti/2 vol% hBN coatings.

Microstructure, mechanical properties, and corrosion behavior of TiVNbZrHf high entropy alloys fabricated by multi-step spark plasma sintering

The primary objective of this study was to produce a TiVNbZrHf high-entropy alloy through powder metallurgy process and characterize its properties. The effect of sintering temperature on the microstructure and mechanical properties of bulk TiVNbZrHf samples was investigated. The resulting microstructure of the bulk samples included two different phase structures: a body-centered cubic (BCC) phase with a composition rich in (Ti-V-Nb)-Hf and a hexagonal close-packed (HCP) phase with a composition rich in (Hf-Zr)-Ti. The particle size and relative density of the bulk sample increased with the rising sintering temperature. The bulk TiVNbZrHf sample exhibited the highest hardness and the lowest wear rate when sintered at 1400 °C. The corrosion resistance of the bulk samples submerged in a 3.5 wt% NaCl solution steadily improved with increasing sintering temperatures. This improvement is attributed to the increased relative density and diminished grain boundaries. Our research highlights the crucial role of precise temperature control during the sintering process to achieve the desired material properties of high-entropy alloys.

Analysis of optimization methods for nonparametric estimation of probability density in large volume samples

A method is proposed for selecting the blurriness coefficient of kernel functions for nonparametric estimation of the probability density of a one-dimensional random variable with large volumes of statistical data, for example, obtained by remote sensing of natural objects. In the proposed method for selecting the blurriness coefficient, a regression estimate of the probability density is used. A method for synthesizing a regression probability density estimate is presented. The synthesis of the estimate is based on compression of the initial sample by decomposition of the range of values of a random variable. To decompose the range of values of a random variable, the Heinhold-Gaede rule and the formula for optimal selection of the number of sampling intervals are applied. Two approaches to the selection of the blurriness coefficient of the regression estimation of probability density using the traditional and proposed by the authors optimization methods of nonparametric estimation of probability density are considered. The traditional method of optimizing nonparametric estimation of probability density is based on minimizing its mean square deviation. In the proposed method, the selection of the blurriness coefficients of the kernel functions is based on the conditions of the minimum error of approximation of the regression estimate of the desired probability density. The approximation properties of the regression estimation of probability density using two methods of its optimization are analyzed. The conditions of their competence in estimating the probability densities of random variables with a lognormal distribution law are established. The results obtained allow for development when optimizing a regression estimate of the probability density of a multidimensional random variable.

AI-IoT Low-Cost Pollution-Monitoring Sensor Network to Assist Citizens with Respiratory Problems

The proliferation and great variety of low-cost air quality (AQ) sensors, combined with their flexibility and energy efficiency, gives an opportunity to integrate them into Wireless Sensor Networks (WSN). However, with these sensors, AQ monitoring poses a significant challenge, as the data collection and analysis process is complex and prone to errors. Although these sensors do not meet the performance requirements for reference regulatory-equivalent monitoring, they can provide informative measurements and more if we can adjust and add further processing to their raw measurements. Therefore, the integration of these sensors aims to facilitate real-time monitoring and achieve a higher spatial and temporal sampling density, particularly in urban areas, where there is a strong interest in providing AQ surveillance services since there is an increase in respiratory/allergic issues among the population. Leveraging a network of low-cost sensors, supported by 5G communications in combination with Artificial Intelligence (AI) techniques (using Convolutional and Deep Neural Networks (CNN and DNN)) to predict 24-h-ahead readings is the goal of this article in order to be able to provide early warnings to the populations of hazards areas. We have evaluated four different neural network architectures: Multi-Linear prediction (with a dense Multi-Linear Neural Network (NN)), Multi-Dense network prediction, Multi-Convolutional network prediction, and Multi-Long Short-Term Memory (LSTM) network prediction. To perform the training of the prediction of the readings, we have prepared a significant dataset that is analyzed and processed for training and testing, achieving an estimation error for most of the predicted parameters of around 7.2% on average, with the best option being the Multi-LSTM network in the forthcoming 24 h. It is worth mentioning that some pollutants achieved lower estimation errors, such as CO2 with 0.1%, PM10 with 2.4% (as well as PM2.5 and PM1.0), and NO2 with 6.7%.

The Influence of Disused ZSM-5 on the Performance of Phosphogypsum-Based Autoclaved Aerated Concrete

Zeolite Socony Mobil-5 (ZSM-5) is a commonly spent catalyst in the petrochemical industry; and phosphogypsum (PG) is a kind of industrial waste produced in the process of phosphoric acid production. The environmental issues caused by these two solid wastes are urgent and thus sustainable methodologies are required to dispose of and reutilize them. In this research, the waste ZSM-5 and waste PG were used to prepare a novel autoclaved aerated concrete. The effects of the different contents of disused ZSM-5 on the microstructures and performance of the PG-based AAC were determined. The results showed that the compressive strength and bulk density of the DZ4 sample were 2.6 MPa and 520 kg/m3, respectively. This study provides a novel and green approach to the reutilization of both waste PG and spent ZSM-5.

The Preparation of Nanosized Pd/ZSM-23 Bifunctional Catalysts for n-Hexadecane Hydroisomerization by Employing PHMB as the Growth Modifier

The development of highly effective metal–zeolite bifunctional catalysts for the hydroisomerization of n-alkanes is a paramount strategy to produce second-generation biofuels with high quality. In this study, polyhexamethylene biguanide hydrochloride (PHMB) is precisely added to the initial gel to synthesize nanosized ZSM-23 zeolites (Z23-xPH). Due to orientation adsorption and steric hindrance effects of PHMB, each sample of Z23-xPH demonstrates enhanced mesoporosity in comparison with the conventional Z23-C zeolite. Furthermore, the Brønsted acid density of the Z23-xPH samples is also significantly reduced due to a reduction in the distribution of framework Al at T2–T5 sites. The corresponding Pd/23-C and Pd/Z23-xPH bifunctional catalysts with 0.5 wt% Pd loading for n-hexadecane hydroisomerization are prepared by incorporating ZSM-23 zeolites as acid supports. According to the catalytic test results, the suitable addition of PHMB can effectively promote the iso-hexadecane yield. The Pd/Z23-2PH catalyst with an nPHMB/nSi molar ratio of 0.002 demonstrates the highest maximum iso-hexadecane yield of 74.1% at an n-hexadecane conversion of 88.3%. Therefore, the employment of PHMB has provided a simple route for the development of highly effective Pd/ZSM-23 catalysts for n-alkane hydroisomerization.

Role of morphology and composition in the transport properties of highly conducting CVD grown PtTex

Platinum telluride (PtTex), a metallic noble transition-metal dichalcogenide, has emerged as a central candidate for magnetic and optoelectronic applications. Recently, PtTex has drawn great attention because of its large positive magnetoresistance and broadband photodetection owing to its astounding electron transport properties. Here, we report the role of morphology, texture, and composition in the transport properties of CVD-grown highly conducting PtTex. Two different compositions of Te atoms, named tellurium stoichiometric (TS) and tellurium rich (TR), with different morphology have been obtained in the PtTex films. The highest longitudinal conductivity was found to be ∼ 3.57 × 107 and 3.83 × 106 S m−1 at 200 K in the TR and TS-PtTex samples, respectively. The maximum carrier density in TR and TS-PtTex samples was found to be of the order of 1022 and 1021 cm−3, respectively. Further, the negative magnetoresistance has also been found to be ∼ −2.2% at 300 K in the presence of an in-plane magnetic field of 9 T. Our results, reporting extremely high conductivity along with negative magnetoresistance, promise exciting applications of PtTex for nanoelectronic devices.

Planning a Waste Processing Site with the 3r Plus Principle in Kapur Village, Sungai Raya District, Kubu Raya Regency

Kapur Village is located in Sungai Raya District, Kubu Raya Regency. The existing condition of waste management has not been implemented properly due to the lack of waste management facilities, namely temporary waste disposal and other communal waste containers, so efforts are needed to handle the waste management system, by planning temporary waste disposal 3R plus. The aim of planning is to know, analyse existing condition of management waste, generation size, density, waste composition and planning the 3R temporary waste disposal design. The research method is sampling generation, density and composition of waste according to SNI-19-3964-1994, conducting interviews and questionnaires to obtain selected locations. The resulting waste generation is 0.35 kg/person/day. The density of domestic source waste is 142.09 kg/m3, while the largest density of non-domestic source waste is produced from restaurants at 113.32 kg/m3. The composition of domestic waste is dominated by organic waste with a percentage of 49.3%, while non-domestic waste is dominated by paper waste with a percentage of 30.60%. This 3R plus temporary waste disposal planning requires land of 1,112.3 m2. The planned waste management is is processing organic waste into composting using the hollow brick method, while inorganic waste in the form of plastics and bottles is processed into handicraft products.

Contributed Session III: The limits of resolution in the S-cone pathway.

The resolution of the S-cone pathway is first constrained by the density and arrangement of S-cones in the photoreceptor mosaic. Prior work comparing S-cone isolating visual acuity (sVA) to histological estimates of S-cone density has led to mixed conclusions, likely due to inter-individual differences in the S-cone sub-mosaic. We examined sVA in subjects with spectrally classified cone mosaics to test how the grain of the S-cone sub-mosaic limits resolution. Three observers whose cones were previously classified via adaptive optics (AO)-OCT based optoretinography participated in an sVA task at eccentricities ranging from 1.3° to 12.9° spread along all four cardinal meridians. Observers adapted to yellow light [CIE (0.45, 0.51); 200 cd/m2] for two minutes.Then, acuity was measured using a Tumbling 'E' task that showed blue [CIE (0.16, 0.044); 0.66 cd/m2) letters on the same yellow background, with an S-cone contrast of 0.93 (L/M-cone contrasts <0.01). Simultaneously recorded high-resolution AOSLO videos helped guide stimulus delivery to the spectrally classified retinal area. Measured sVAs were worse than predicted by the calculated S-cone Nyquist limit at all eccentricities, suggesting pooling of information from S-cones. Moreover, this pooling increased with eccentricity. While sVA does not follow the S-cone Nyquist limit, it is in good concordance with the Nyquist limit corresponding to known estimates of the sampling density of small bistratified retinal ganglion cells.

Shrinkage, microstructure, and mechanical properties of sintered 3D‐printed silica via stereolithography

AbstractStereolithography has been used to create ceramic parts with complex geometry that is difficult to achieve with conventional fabrication techniques. This study used stereolithography to print silica honeycomb structures with a commercial Formlabs Form2 printer. The printed samples were sintered at different temperatures, and the print shape was retained up to 1300°C, but significant distortion from partial melting occurred at 1400°C. Higher sintering temperatures lead to more shrinkage, but it is non‐uniform among directions, with the open cell plane shrinking more than the dense plane of the sample. As expected, the density of samples also increases with the sintering temperature. At higher sintering temperatures, there is an increase in cristobalite and a decrease in quartz, tridymite, and amorphous silica. Regarding mechanical properties, the out‐of‐plane compressive strength is approximately one order of magnitude higher than the in‐plane compressive strength. When compressed along the out‐of‐plane direction, the samples sintered at lower temperatures surprisingly exhibit higher strength, which is explained by the micro‐cracking mechanism. As expected, the samples sintered at higher temperatures display higher strength when compressed along the in‐plane direction.

Technology and Peculiarities of Production of Large-format Ceramic Stones Based on Opoka-like Rocks

Introduction. One of the urgent tasks of the wall ceramics industry at present is the production of large-format ceramic stones with compressive strength of 10–15 MPa and thermal conductivity less than 0.12 W/(m·оС), while the market cost per 1 m3 should be competitive with gas-concrete blocks and be in the range of 5–6 thousand rubles per 1 m3. This problem can be solved by developing modern energy-efficient production technology and using opoko-like rocks and coal processing wastes as the main raw material as fuel and burnout additive.Materials and Methods. The opoka-like rocks — opokas from the deposits of southern Russia — Nagolnovskoye, Bakanskoye, Shakhtinskoye, Avilo-Fyodorovskoye, and coal cake produced by Pyramida LLC were used for research. The study of chemical and mineral composition was carried out by standard methods on prepared samples. The study of ceramic and technological properties (plasticity, molding moisture, degree of crushing, air and fire shrinkage, compressive strength, water absorption) of raw materials was carried out according to generally accepted methods on samples precrushed to a certain grain composition, since opokas, depending on the type, do not soak or slowly soak in water.Results. Pre-firing technological properties of opokas and their differences from traditional clay raw materials soaked in water were confirmed: increased molding moisture, small air shrinkage, low sensitivity to drying. The dependence of density and strength of samples on the degree of pulverization of opoka, firing temperature and the amount of carbon cake in the raw material mixture has been established. The influence of coal preparation wastes and their optimal amount on physical and mechanical properties of fired samples has been determined. The introduction of carbon cake allows to exclude the use of gas for firing or minimize its introduction. On the basis of the obtained results a simplified technological scheme for the production of large-format stones with minimum production cost has been developed.Discussion and Conclusion. The proposed technological scheme consists of two units of the main mass preparation equipment, molding of products is carried out by semi-rigid extrusion, drying of products is carried out directly on kiln cars, and for firing coal cake is used, which is introduced into the raw mix. These factors and technological methods allow to obtain products with low thermal conductivity, but with strength 3–5 times higher than that of aerated concrete blocks of similar density. The prime cost of ceramic stones will amount to 3–3.5 thousand rubles per 1 m3 of products. Rostov region, possessing opoka-like rocks and unclaimed reserves of technogenic coal raw materials, can become a center of production of large-format ceramic stones with low cost and provide the south and central part of the country with highquality wall materials.

Bone regeneration in critical-size defects of the mandible using biomechanically adapted CAD/CAM hybrid scaffolds: An in vivo study in miniature pigs

The study aimed to analyze bone regeneration in critical-size defects using hybrid scaffolds biomechanically adapted to the specific defect and adding the growth factor rhBMP-2.For this animal study, ten minipigs underwent bilateral defects in the corpus mandibulae and were subsequently treated with novel cylindrical hybrid scaffolds. These scaffolds were designed digitally to suit the biomechanical requirements of the mandibular defect, utilizing finite element analysis. The scaffolds comprised zirconium dioxide-tricalcium phosphate (ZrO2-TCP) support struts and TCP foam ceramics. One scaffold in each animal was loaded with rhBMP-2 (100 μg/cm³), while the other served as an unloaded negative control. Fluorescent dyes were administered every 2 weeks, and computed tomography (CT) scans were conducted every 4 weeks. Euthanasia was performed after 3 months, and samples were collected for examination using micro-CT and histological evaluation of both hard and soft tissue.Intravital CT examinations revealed minor changes in radiographic density from 4 to 12 weeks postoperatively. In the group treated with rhBMP-2, radiographic density shifted from 2513 ± 128 (mean ± SD) to 2606 ± 115 Hounsfield units (HU), while the group without rhBMP-2 showed a change from 2430 ± 131 to 2601 ± 67 HU. Prior to implantation, the radiological density of samples measured 1508 ± 30 mg HA/cm³, whereas post-mortem densities were 1346 ± 71 mg HA/cm³ in the rhBMP-2 group and 1282 ± 91 mg HA/cm³ in the control group (p = 0.045), as indicated by micro-CT measurements. The histological assessment demonstrated successful ossification in all specimens. The newly formed bone area proportion was significantly greater in the rhBMP-2 group (48 ± 10%) compared with the control group without rhBMP-2 (42 ± 9%, p = 0.03). The mean area proportion of remaining TCP foam was 23 ± 8% with rhBMP-2 and 24 ± 10% without rhBMP-2.Successful bone regeneration was accomplished by implanting hybrid scaffolds into critical-size mandibular defects. Loading these scaffolds with rhBMP-2 led to enhanced bone regeneration and a uniform distribution of new bone formation within the hybrid scaffolds. Further studies are required to determine the adaptability of hybrid scaffolds for larger and potentially segmental defects in the maxillofacial region.

Bacterial Density in Soil Samples Collected from Hospital Wastes Dumping Site at Chukwuemeka Odumegwu Ojukwu Medical Centre, Uli, Anambra State, Nigeria.

The soil quality is characterized by adequate nutrients as a result of abundant nutrients cycling bacteria. Most soil in Nigeria has been subjected to different kinds of pollutants resulting from anthropogenic activities which have become a major threatening factor to the quality of soil. This study was carried out to evaluate bacterial density in soil samples collected from hospital wastes dumping site at Chukwuemeka Odumegwu Ojukwu Medical Centre, Uli, Anambra State. A total of 30 composite soil samples were aseptically collected from the site using a sterile soil auger. The samples were analyzed for total heterotrophic bacterial count (THBC) and phosphate solubilizing bacterial count (PSBC) using standard plate technique. The predominant bacterial isolates that aided nutrients cycling were appropriately characterized, and their densities in both impacted and non-impacted soil samples were enumerated. Also, the bacterial isolates were characterized based on morphology, microscopy, and biochemical characteristics. There was an increase in the THBC and PSBC in the impacted soil, and Gram negative rods such as Pseudomonas, Klebsiella, and Micrococcus species (Gram positive) were the bacterial isolates. The study has revealed that wastes generated from hospital enhances microbial proliferation in the soil, which invariably increases soil fertility. Keywords: Bacterial Density, Soil Samples, Hospital Wastes and Dumping Site

Comparison of maps of species richness and endemism produced directly from species occurrences with those produced by stacked species distribution modelling

Abstract Knowledge of the spatial patterns of biodiversity is essential for identifying conservation hotspots. Two commonly used methods of biodiversity assessments are point-to-grid maps and habitat suitability maps generated by stacked species distribution modelling (S-SDM). We compared these two types of maps using three metrics: species richness, weighted endemism (WE), and corrected weighted endemism (CWE) produced for three monocot genera (Allium, Tulipa and Eremurus) in Uzbekistan. Also, we asked how close the patterns of species richness and weighted endemism predicted by S-SDM will be if the sampling density is significantly reduced. To answer this question, we compared the maps of species richness and WE produced using the entire dataset, with one in which species occurrences were thinned to no more than ten occurrences per species. The patterns of species richness and WE in point-to-grid maps and maps generated by S-SDM were very similar for all three genera. However, the spatial distribution of CWE generated by S-SDM was dramatically different from that of point-to-grid maps, and this difference was consistent across the three genera. For species richness and WE, the maps produced by S-SDM from the reduced and complete datasets were similar and close to the analogous point-to-grid maps. These results suggest that even incomplete surveys can provide valuable data for elucidating spatial biodiversity patterns and that for conservationists, S-SDM should be an essential part of their toolbox. However, the use of CWE in S-SDM applications should be avoided.

Latent go-explore with area as unit

The trade-off between exploration and exploitation has been one of the main challenges for ensuring sampling efficiency, optimal solution, and transferability of reinforcement learning. Based on the Go-Explore framework, which is currently the most effective framework for the environments with sparse reward, latent go-explore (LGE) can overcome the complexity of manually designing state features. However, its state feature space is not effective enough for measuring the sampling density, and the exploration mode with a single state as a unit is inefficient. To this end, this paper proposes the LGE with the state area as a unit, named ALGE, which can encode the real environment distance into the state feature space and realize the exploration mode with the state area as a unit to further improve exploring efficiency. The proposed ALGE is verified by a series of experiments in multiple hard-exploration environments including a continuous-maze environment, a robot environment and two Atari environments. The experiment results demonstrate that the ALGE can respectively improve the explored space coverage rate by 12 % and 27 % in the continuous-maze and robot environments and outperformance the state-of-the-art algorithms of go-explore framework in terms of pure exploration in these hard-exploration environments including Montezuma's Revenge and Pitfall.

Effect of Al2O3-CeO2 molar ratio on mechanical properties of SiC ceramics

In the present work, SiC ceramic samples with Al2O3 and CeO2 sintering additives were prepared by spark plasma sintering (SPS). The effects of Al2O3 to CeO2 molar ratio from 6.25:3.75 to 5:5, 4:6 and 3:7 on sintering behavior, microstructure, Vickers hardness, and fracture toughness of the SiC ceramic samples were investigated and compared. The results showed that, the relative density of SiC ceramic samples increased from 97.8% to 99.2%, and the Vickers hardness increased from 19.72 ± 0.41 GPa to 21.18 ± 0.92 GPa as the CeO2 molar ratio increased. The increase in CeO2 molar ratio effectively improved the densification and hardness of SiC ceramics.

Adaptive kernel density estimation weighted twin support vector machine and its sample screening method

SummaryIn twin support vector machines (TSVM), noise blurs the boundary between positive and negative samples, increasing the probability of classification errors. In this article, we propose an adaptive kernel density estimation weighted twin support vector machine(AKWTSVM). AKWTSVM uses KDE based on K‐nearest neighbor estimation to calculate the probability density of samples. It automatically selects the optimal bandwidth based on the local density of the samples to improve the robustness of the algorithm. However, TSVM has high time complexity, to reduce the time costs, a sample screening method is proposed for AKWTSVM, named AKWTSVM‐SSM, which is based on the overall distance and local density, and reduces the time costs of the algorithm by reducing the sample size while ensuring the accuracy of the algorithm. The experiment with differently scaled noise environments of 0%, 5%, 10%, 15%, and 20% on 12 UCI datasets validate the accuracy and running time of AKWTSVM and AKWTSVM‐SSM. Experimental results prove the effectiveness and robustness of AKWTSVM, the robustness of AKWTSVM‐SSM, and its applicability to large‐scale datasets.

High energy density electrodes based on solution intercalated, self-stabilised dispersion polymerised polyaniline/MWCNT hybrids for supercapacitors

Worldwide technological advancements have stimulated the need for efficient energy storage devices that can deliver high energy and power densities. This can be achieved by incorporating efficient electroactive materials like conducting polymers (CPs) and multi-walled carbon nanotubes (MWCNTs) and adopting different strategies for the preparation of electrodes. Hybrids of CPs with CNTs exhibit synergistic effects and are excellent choices as supercapacitor electrodes. In this work, polyaniline (PANI) is prepared using the self-stabilised dispersion polymerisation (SSDP) method. The PANI/MWCNT hybrid electrodes are prepared using the conventional in-situ method and a unique method that involves secondary doping followed by solution intercalation. The optimised electrode (PCM 1:1) displays a high specific capacitance of 1017 F g−1 at a current density of 0.5 A g−1. A symmetric supercapacitor fabricated using PCM 1:1 electrode delivers an energy density of 46.69 Wh kg−1 at a power density of 1 kW kg−1, one of the best reported values for similar composite materials. The device delivers an energy density of 27.86 Wh kg−1 even at a high-power density of 5 kW kg−1. The symmetric supercapacitor retains 93.3 % of its initial capacitance even after 10,000 continuous charge-discharge cycles at a current density of 5 A g−1. Interestingly, the electrodes and devices fabricated using the hybrid samples prepared by the solution intercalation method outperform those of the in-situ samples. The superior electrochemical performance, cycle stability and improved energy density of this hybrid sample offer ample scope for developing efficient and robust supercapacitors for futuristic energy storage devices.