IET Nanodielectrics最新文献

{"title":"Preparation of metal–organic framework nanosheets with electron-rich groups for SO2 adsorption","authors":"Hongsong Lian,&nbsp;Jin Huang,&nbsp;Yonghua Lai,&nbsp;Huixin Liu,&nbsp;Dongsheng Zheng,&nbsp;Song Xiao,&nbsp;Hongye Yuan","doi":"10.1049/nde2.12095","DOIUrl":"https://doi.org/10.1049/nde2.12095","url":null,"abstract":"<p>Metal–organic frameworks (MOFs), as a new type of porous crystalline materials, hold great promise for gas purification in electrical insulation equipment, especially for the selective capture of SO₂ produced from the decomposition of SF₆. However, challenges remain in the design and synthesis of MOF-based adsorbents with salient SO₂ adsorption performance due to the limited effective interactions with SO₂ molecules. This study reports the successful direct synthesis of two-dimensional (2D) MOFs nanosheets coordinated by Zr⁴⁺ and tridentate carboxylic organic ligands with nitrogen-containing electron-rich groups within the organic ligands. The resulting MOF nanosheets exhibit enhanced interactions with SO₂ molecules due to the spatial location and electronic properties of the nitrogen groups, thereby conducing to the adsorption of SO₂. Additionally, by precisely controlling the positioning of nitrogen groups, the Zr-BTB-NH₂ (BTB-NH₂: 1,1′:3′,1″-Terphenyl]-4,4″-dicarboxylic acid, 3,3″-diamino-5′-(3-amino-4-carboxyphenyl) and Zr-TPY (TPY: 4′-(4-carboxyphenyl)-[2,2′:6′,2″-terpyridine]-5,5″-dicarboxylic acid) MOFs synthesised in this study achieve differentiated SO₂ adsorption capacities of 39.3 cm³·g⁻¹ and 66.3 cm³·g⁻¹, respectively, surpassing those of several previously reported MOFs. This strategy provides a novel design strategy for developing efficient SO₂ absorbents and lays a foundation for the further development of absorbents promising for gas remediation in electrical insulation equipment.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"8 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12095","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113864","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Monitoring high-temperature sensor with optical performance using graphene in power plant industries","authors":"Hadi Sharifi,&nbsp;Aslan Nouri Moqadam,&nbsp;Omid Mohsen Daraei,&nbsp;Ali Pourziad,&nbsp;Mohammad Bemani","doi":"10.1049/nde2.12094","DOIUrl":"https://doi.org/10.1049/nde2.12094","url":null,"abstract":"<p>Optical sensors getting widespread usage in almost every field, especially industries. A high thermal optical sensor is proposed to predict the environmental temperature in power plants. A high sensitivity, accuracy, low cost, compact size, linear operation, and suitable transmission coefficient optical sensor in a wide thermal range is achieved that changing the surrounding temperature has a severe effect on the conductivity of graphene which changes the transmission power of the sensor. In this paper, the position of the graphene sheet affects the interaction of light and graphene, effectively. A maximum sensitivity of 17.47% is achieved in <span></span><math>\u0000 <semantics>\u0000 <mrow>\u0000 <mn>500</mn>\u0000 </mrow>\u0000 <annotation> $mathbf{500}$</annotation>\u0000 </semantics></math> K temperature deviation. The Cylindrical diameter is 4.1 lambda, the smallest in size among the references checked and has the desired performance up to 2000 K, indicating the suitable efficiency of the sensor and the fibre optic sensor with graphene coating has great potential in the field of measurement, especially in the temperature of the surrounding atmosphere in the industry.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"8 1","pages":""},"PeriodicalIF":3.8,"publicationDate":"2025-01-10","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12094","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143113863","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Thermal analysis of mineral oil-based nanofluids of distribution transformers exposed to simultaneous current and voltage harmonics","authors":"Ali Abdali,&nbsp;Kazem Mazlumi,&nbsp;Abbas Rabiee","doi":"10.1049/nde2.12093","DOIUrl":"https://doi.org/10.1049/nde2.12093","url":null,"abstract":"<p>The exact thermal evaluation of distribution transformers (DTs), which are critical and costly pieces of equipment for the power grids, may contribute to preventing the respective failures. Therefore, the present study non-uniformly investigated DT for correct anticipation of hotspot temperature (HST). Optical fibre sensors (OFSs) were applied for assessing our newly developed non-uniform 3D computational fluid dynamic (CFD)-based modelling while performing the temperature rise test (TRT). It should be noted that this new 3D CFD-based thermal analysis showed an error percentage of 0.11% (0.1°C) in comparison to the OFS measurement, reflecting the ideal efficiency and accuracy of the model. Moreover, thermography for both top-oil temperature (TOT) and bottom-oil temperature (BOT) was employed to validate the results from non-uniform 3D (three-dimensional) CFD-based thermal evaluations. The results indicated an acceptable level of relationship between thermography and thermal analysis of 3D CFD at the specified two spots, with an error percentage of &lt;0.65%, demonstrating the acceptable accuracy of the new non-uniform 3D CFD-based model. In the following, yet importantly, the new non-uniform 3D model was subjected to the total harmonic distortions (THD) for the current and voltage of 5%, 10%, and 15%, which raised the HST more than the original model without harmonics by 3.3°C, 7.1°C, and 10.3°C, respectively. Ultimately, different mineral oil-based nanofluids’, such as multi-walled carbon nanotubes (MWCNTs) and diamond nanoparticles, influence on the HST decrement of DT in simultaneous current and voltage harmonics was investigated.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"226-240"},"PeriodicalIF":3.8,"publicationDate":"2024-12-07","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12093","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248840","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Enhancing power transformer health assessment through dimensional reduction and ensemble approaches in Dissolved Gas Analysis","authors":"Abdelmoumene Hechifa,&nbsp;Saurabh Dutta,&nbsp;Abdelaziz Lakehal,&nbsp;Hazlee Azil Illias,&nbsp;Arnaud Nanfak,&nbsp;Chouaib Labiod","doi":"10.1049/nde2.12092","DOIUrl":"https://doi.org/10.1049/nde2.12092","url":null,"abstract":"<p>Transformer health analysis using Dissolved Gas Analysis is crucial for diagnosing power transformer faults. This paper proposes an innovative approach to diagnose power transformer faults by integrating machine learning algorithms with Ensemble techniques. The method involves fusing reduced dimensional input features through Principal Component Analysis with Ensemble techniques such as Bagging, Decorate, and Boosting. Various machine learning algorithms, including Decision Tree (DT), K-Nearest Neighbours, Radial Basis Function Network, and Support Vector Machine, are employed in conjunction with Ensemble techniques. The long short-term memory algorithm was used to create synthetic data to solve the issue of data imbalance. A dataset of 683 samples is used in the study for training, testing, validation, and comparison with current techniques. The results highlight the effectiveness of Ensemble techniques, particularly Boosting, which demonstrates superior performance across all classification algorithms. The Boosting with DT algorithm achieves an impressive accuracy of 98.32%, surpassing alternative methods. In validation, the proposed Boosting Ensemble technique outperforms various approaches, showcasing its diagnostic accuracy and superiority over alternative methods. The research emphasises the model's effectiveness in smoothing input vectors, enhancing harmony with ensemble techniques, and overcoming limitations in prior methods.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"321-333"},"PeriodicalIF":3.8,"publicationDate":"2024-11-08","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12092","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248989","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Design and optimization of photonic crystal fibre THz bio-sensor for extremely impressible identification of dengue","authors":"Abu Hena Mohammad Iftekharul Ferdous,&nbsp;Mohammad Rasel Miah,&nbsp;Khalid Sifulla Noor,&nbsp;Mohammad Asaduzzaman,&nbsp;Mohammad Azizul Haque,&nbsp;Mosammot Momtahina Bani,&nbsp;Diponkar Kundu,&nbsp;Mohammad Feroz Ali","doi":"10.1049/nde2.12091","DOIUrl":"https://doi.org/10.1049/nde2.12091","url":null,"abstract":"<p>The detection of human diseases is a major application for biosensors. During this work, a 2D photonic crystal fibre (PCF) biosensor design for dengue virus detection has been suggested. This work presents the decagonal hollow core PCF-based dengue virus bio-sensor and quantitatively investigates it over the terahertz regime. The suggested biosensor's performance is assessed using COMSOL Multiphysics, a professional tool that uses the Finite Element Method. The simulation's outcomes show that the suggested sensor performed better than earlier research, with a high sensitivity of 98.79%, 97.96%, 97.71%, 98.58%, 96.99% and 97.47% with more less confinement loss 1.2766 × 10⁻¹² dB/m, 1.6385 × 10⁻¹² dB/m, 2.8015 × 10⁻¹³ dB/m, 1.1798 × 10⁻¹³ dB/m, 7.0336 × 10⁻¹² dB/m and 0.00 dB/m respectively for infected Haemoglobin (Hgb), Normal Haemoglobin (Hgb), Infected Platelets (Plt), Normal Platelets (Plt), Infected Plasma (Psm) and Normal Plasma (Psm) at 3.0 THz using the ideal geometric configuration. Very soon, its remarkable sensitivity and guiding capabilities will be crucial to dengue virus detection technology.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"307-320"},"PeriodicalIF":3.8,"publicationDate":"2024-10-29","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12091","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143253462","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Impact of silicon carbide, boron nitride, and zirconium dioxide nanoparticles on ester-based dielectric fluids","authors":"Syed Ahmad Khan,&nbsp;Suhaib Ahmad Khan,&nbsp;Obaidur Rahman,&nbsp;Aejaz Masood,&nbsp;Asfar Ali Khan,&nbsp;Mujib Ullah Zuberi,&nbsp;Farhad Ilahi Bakhsh,&nbsp;Md. Rasidul Islam","doi":"10.1049/nde2.12090","DOIUrl":"https://doi.org/10.1049/nde2.12090","url":null,"abstract":"<p>This research study investigates the influence of various nanoparticles on the dielectric breakdown voltage, oil dissipation factor, viscosity, and thermal conductivity of nanofluids. Nanofluids were prepared using synthetic ester oil as the base fluid, and three nanoparticles, silicon carbide (SiC), boron nitride (BN), and zirconium dioxide (ZrO₂), were added at different concentrations (0.125 wt%, 0.250 wt%, and 0.375 wt%), which are basically the nano-sized powder that can be blended in the oil. The dielectric breakdown voltage testing was conducted to evaluate the electrical performance of the nanofluids. Additionally, rheological measurements were performed to study the kinematic viscosity, while thermal conductivity was determined using appropriate techniques. The enhancements in each property were evaluated and compared for the different nanoparticle concentrations and types. Previous studies focused only on the investigation of the electrical properties of nanofluids. However, in the present study, the electrical as well as thermo-physical characterisation of nanofluids is performed and analysed as they directly affect the cooling performance of transformers. The results provide dielectric and thermo-physical characterisation that exhibit excellent insulation and cooling functionalities and valuable insights into the potential applications of nanofluids as dielectrics in various high-voltage electrical equipment. ZrO₂ and SiC nanoparticles exhibited a reduction in the oil dissipation factor. SiC consistently improved breakdown voltage (Bdv), while ZrO₂ nanoparticles showed concentration-dependent effects, enhancing Bdv at low concentrations but degrading it at higher ones. Unexpectedly, nanoparticle dispersion and lubrication effects can lead to viscosity reductions, countering conventional expectations. Surprisingly, at the highest concentration, the thermal conductivity decreases compared to the lower nano-concentrations in synthetic ester oil.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"296-306"},"PeriodicalIF":3.8,"publicationDate":"2024-09-01","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12090","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143248281","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"An improved approach for the evaluation of the environmental impact of nano-modified insulating oils in electrical transformers","authors":"Ioannis Chronis,&nbsp;Chao Tang,&nbsp;Constantinos S. Psomopoulos","doi":"10.1049/nde2.12089","DOIUrl":"https://doi.org/10.1049/nde2.12089","url":null,"abstract":"<p>Nano-modified electrical insulating fluids are a promising new family of insulating oils with enhanced characteristics. They can significantly improve many properties, such as fire point, breakdown voltage, partial discharge inception voltage and thermal conductivity etc. However, nanoparticles have raised concerns about the possible harm to human health and the ecosystems, but the environmental impact of nano-modified insulating oils is far more complicated than that. Following the recent research results on the stability of nano-modified particles, the authors introduce environmental aspects that have not attracted attention so far, such as the possible loss of stability of the insulating oil, mechanical erosion problems in parts of the electrical transformer and problems in recycling processes that may turn waste nano-modified insulating oils into an unwanted feed stock for recycling industries. An improved method for the environmental risk assessment (RA) of nano-modified insulating oils, based on an existing model for the RA of nanoparticles, is proposed. The authors reflect the complicated nature of the nanoliquids, mainly due to the stability of the element, which seems to have a paramount role on their environmental impact and is neglected by the current approach in RA.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"216-225"},"PeriodicalIF":3.8,"publicationDate":"2024-08-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12089","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252783","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"A combined technique for power transformer fault diagnosis based on k-means clustering and support vector machine","authors":"Arnaud Nanfak,&nbsp;Abdelmoumene Hechifa,&nbsp;Samuel Eke,&nbsp;Abdelaziz Lakehal,&nbsp;Charles Hubert Kom,&nbsp;Sherif S. M. Ghoneim","doi":"10.1049/nde2.12088","DOIUrl":"10.1049/nde2.12088","url":null,"abstract":"<p>This contribution presents a two-step hybrid diagnostic approach, combining <i>k</i>-means clustering for subset formation, followed by subset analysis conducted by human experts. As the feature input vector has a significant influence on the performance of unsupervised machine learning algorithms, seven feature input vectors derived from traditional methods, including Duval pentagon method, Rogers ratio method, three ratios technique, Denkyoken method, ensemble gas characteristics method, Duval triangle method, and Gouda triangle method were explored for the subset formation stage. The seven proposed individual methods, corresponding to the seven feature input vectors, were implemented using a dataset of 595 DGA samples and tested on an additional 254 DGA samples. Furthermore, a combined technique based on a support vector machine was introduced, utilising the diagnostic results of the individual methods as input features. From training and testing, with diagnostic outcomes of 91.09% and 90.94%, the combined technique demonstrated the highest overall diagnostic accuracies. Using the IEC TC10 database, the diagnosis accuracies of the proposed diagnostic methods were compared to existing methods of literature. From the results obtained, the combined technique outperformed the proposed individual methods and existing methods used for comparison.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 3","pages":"175-187"},"PeriodicalIF":3.8,"publicationDate":"2024-07-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12088","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"141684788","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"Microbial adhesion and nanocomposite-loaded antifouling applications of insulating polymers in transmission lines-a review","authors":"Shifang Yang,&nbsp;Zexuan Zhang,&nbsp;Mingxi Zhu,&nbsp;Yunpeng Liu,&nbsp;Fangcheng Lv","doi":"10.1049/nde2.12087","DOIUrl":"https://doi.org/10.1049/nde2.12087","url":null,"abstract":"<p>In regions characterised by high humidity and abundant vegetation, the external insulation materials utilised in high-voltage transmission and transformation are frequently fouled with a multitude of microorganisms, thereby jeopardising the reliable operation of the power grid. A comprehensive overview of the periodic growth regulation of parasitic algae is presented upon insulating composites across various regions of the world. Additionally, it highlights the methods for quantitative evaluation and accurate prediction of algae coverage degree. Also, the biological contaminates coating process and the artificial flashover test method are summarised, and the effects of algae on the reliability of inorganic and organic materials used for external insulation are compared. It emphasises the dynamic hygroscopic characteristics and cytoelectronegativity of cell secretions as the critical factors that negatively affect the hydrophobicity and flashover performance of silicone rubber insulators by algae. Furthermore, valuable insights into the long-term inhibition of algae growth on polymeric insulators are provided using eco-friendly antibiotic-loaded silica aerogel nanocomposites.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"241-254"},"PeriodicalIF":3.8,"publicationDate":"2024-06-19","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12087","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252921","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}

{"title":"High-performance photonic crystal fibre biosensor for identifying Jurkat cells by refractive index analysis","authors":"Most. Momtahina Bani,&nbsp;Khalid Sifulla Noor,&nbsp;A. H. M. Iftekharul Ferdous,&nbsp;Md. Shamim Anower","doi":"10.1049/nde2.12086","DOIUrl":"https://doi.org/10.1049/nde2.12086","url":null,"abstract":"<p>Jurkat cells are immortalised lines of human T lymphocyte cells widely used in research to study leukaemia, signalling of T cells, and immune responses. These cells can be used as models to define the mechanisms of leukaemia and to develop mechanism-based therapies. Jurkat cells can be detected with remarkable accuracy using the recently created Photonic Crystal Fibre (PCF). The suggested design has a hybrid arrangement on its clad surface and a rectangular core. The recently released PCF analyser displays a maximum Relative Sensitivity are 95.81% for Jurkat (type I) and 94.93% for Jurkat (type II), respectively. The Effective Material Loss of 0.0070 cm⁻¹, 0.0080 cm⁻¹, and the Confinement Loss of 9.11 × 10⁻⁹ dB/m, 9.15 × 10⁻⁸ dB/m were also examined for the previously described units. Jurkat cells represent a model of leukaemia that is very malignant and proliferative, representative of aggressive T-cell acute lymphoblastic leukaemia with the ability to progress rapidly and hence poor prognosis for patients. The benefit of applying a suggested PCF sensor to Jurkat cell detection lies in the high sensitivity to refractive index changes, allowing label-free and real-time monitoring of cell interaction. This PCF sensor can offer high light-matter interaction, custom geometry, and biocompatibility for specific and reliable detection of deadly Jurkat cells in biomedical research and clinical diagnostics.</p>","PeriodicalId":36855,"journal":{"name":"IET Nanodielectrics","volume":"7 4","pages":"282-295"},"PeriodicalIF":3.8,"publicationDate":"2024-06-18","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"https://onlinelibrary.wiley.com/doi/epdf/10.1049/nde2.12086","citationCount":null,"resultStr":null,"platform":"Semanticscholar","paperid":"143252900","PeriodicalName":null,"FirstCategoryId":null,"ListUrlMain":null,"RegionNum":0,"RegionCategory":"","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":"OA","EPubDate":null,"PubModel":null,"JCR":null,"JCRName":null,"Score":null,"Total":0}