Multi-directional gated recurrent unit and convolutional neural network for load and energy forecasting: A novel hybridization

Energy operations and schedules are significantly impacted by load and energy forecasting systems. An effective system is a requirement for a sustainable and equitable environment. Additionally, a trustworthy forecasting management system enhances the resilience of power systems by cutting power and load-forecast flaws. However, due to the numerous inherent nonlinear properties of huge and diverse data, the classical statistical methodology cannot appropriately learn this non-linearity in data. Energy systems can appropriately evaluate data and regulate energy consumption because of advanced techniques. In comparison to machine learning, deep learning techniques have lately been used to predict energy consumption as well as to learn long-term dependencies. In this work, a fusion of novel multi-directional gated recurrent unit (MD-GRU) with convolutional neural network (CNN) using global average pooling (GAP) as hybridization is being proposed for load and energy forecasting. The spatial and temporal aspects, along with the high dimensionality of the data, are addressed by employing the capabilities of MD-GRU and CNN integration. The obtained results are compared to baseline algorithms including CNN, Long Short-Term Memory (LSTM), Bidirectional Long Short-Term Memory (Bi-LSTM), Gated Recurrent Unit (GRU), and Bidirectional Gated Recurrent Unit (Bi-GRU). The experimental findings indicate that the proposed approach surpasses conventional approaches in terms of accuracy, Mean Absolute Percentage Error (MAPE), and Root Mean Square Error (RSME).</p> </abstract&gt

Prognostic indicators of childhood acute viral encephalitis

Objective: To devise a set of clinical signs and laboratory parameters that would help clinicians assess prognosis in patients and plan appropriate management.Methods: Medical records of 147 paediatric cases (with a discharge diagnosis of acute viral encephalitis) admitted over a ten year period from 1987 to 1997 were reviewed and relevant information collected on a data extraction form.Results: Of 147 patients, 24 (16.3%) died and 48 (32.7%) were left with severe neurological deficits. A GCS (Glasgow Coma Scale) score between 6-10 had an association with poor outcome (OR = 2.62, Chi-square = 5.57, p-value = 0.018) and that a GCS score of \u3e or = 5 was even more strongly suggestive of poor outcome (OR = 5.49, Chi-square = 12.08, p-value = 0.0005). A history of having seizures, for more than 3 days, also showed a strong association with poor outcome (OR = 3.66, Chi-square = 5.46, p-value = 0.019).CONCLUSION: Patients with an increased risk of death and severe disability can be identified using a few guidelines. Of these, a history of seizures of \u3e 3 days and/or impaired consciousness (GCS \u3c or = 10), at the time of presentation to the hospital, constitute high risk. These cases must be identified promptly and aggressive therapy initiated in order to improve long term outcome

Towards the Formalization of Fractional Calculus in Higher-Order Logic

Fractional calculus is a generalization of classical theories of integration and differentiation to arbitrary order (i.e., real or complex numbers). In the last two decades, this new mathematical modeling approach has been widely used to analyze a wide class of physical systems in various fields of science and engineering. In this paper, we describe an ongoing project which aims at formalizing the basic theories of fractional calculus in the HOL Light theorem prover. Mainly, we present the motivation and application of such formalization efforts, a roadmap to achieve our goals, current status of the project and future milestones.Comment: 9 page

A study of random laser modes in disordered photonic crystals

We studied lasing modes in a disordered photonic crystal. The scaling of the lasing threshold with the system size depends on the strength of disorder. For sufficiently large size, the minimum of the lasing threshold occurs at some finite value of disorder strength. The highest random cavity quality factor was comparable to that of an intentionally introduced single defect. At the minimum, the lasing threshold showed a super-exponential decrease with the size of the system. We explain it through a migration of the lasing mode frequencies toward the photonic bandgap center, where the localization length takes the minimum value. Random lasers with exponentially low thresholds are predicted.Comment: 4 pages, 4 figure

Infection of hepatitis C virus genotypes in hepatocellular carcinoma patients from rural areas of Faisalabad region, Pakistan

The aim of this retrospective study was to investigate the infection of hepatitis C virus (HCV) genotypes in hepatocellular carcinoma (HCC) patients from rural areas of Faisalabad region. Among 179 HCC subjects, men and women were 51 and 49%, respectively. All samples positive for HCV RNA by qualitative PCR were genotyped, applying genotype-specific PCR. They were confirmed using HCV 5’ non-coding region sequence analytical data. Major risk factor for HCC development and progression was identified to be chronic HCV. It was found among 56.5 ± 2.1 years of age. All these HCC cases were HCV-related and no case was linked with other types of viruses. Using genotype specific primers, HCV genotype 3a (55.3%) was significantly (P<0.0001) higher, followed by 3b (15.8%), 1 (9.24%), 4 (8.05%) and 2 (7.15%). Other genotypes, namely 5a and 6a were only 1.19 and 1.05% among the HCC patients. About 1.05% remained un-typed because of minute viral load. HCV genotype 3a was strongly linked with HCC, followed by 3b. Moreover, HCC was linked with liver cirrhosis (81%). It is suggested that genotyping may be recommended before starting interferon therapy.Key words: Etiology, genotyping, hepatitis C virus, hepatocellular carcinoma, prevalence, α-fetoprotein

Modelling Li+ Ion Battery Electrode Properties

We formulated two detailed models for an electrolytic cell with particulate electrodes based on a lithium atom concentration dependent Butler-Volmer condition at the interface between electrode particles and the electrolyte. The first was based on a dilute-ion assumption for the electrolyte, while the second assumed that Li ions are present in excess. For the first, we used the method of multiple scales to homogenize this model over the microstructure, formed by the small lithium particles in the electrodes. For the second, we gave rigorous bounds for the effective electrochemical conductivity for a linearized case. We expect similar results and bounds for the "full nonlinear problem" because variational results are generally not adversely affected by a sinh term. Finally we used the asymptotic methods, based on parameters estimated from the literature, to attain a greatly simplified one-dimensional version of the original homogenized model. This simplified model accounts for the fact that diffusion of lithium atoms within individual electrode particles is relatively much faster than that of lithium ions across the whole cell so that lithium ion diffusion is what limits the performance of the battery. However, since most of the potential drop occurs across the Debye layers surrounding each electrode particle, lithium ion diffusion only significantly affects cell performance if there is more or less complete depletion of lithium ions in some region of the electrolyte which causes a break in the current flowing across the cell. This causes catastrophic failure. Providing such failure does not occur the potential drop across the cell is determined by the concentration of lithium atoms in the electrode particles. Within each electrode lithium atom concentration is, to leading order, a function of time only and not of position within the electrode. The depletion of electrode lithium atom concentration is directly proportional to the current being drawn off the cell. This leads one to expect that the potential of the cell gradually drops as current is drawn of it. We would like to emphasize that all the homogenization methods employed in this work give a systematic approach for investigating the effect that changes in the microstructure have on the behaviour of the battery. However, due to lack of time, we have not used this method to investigate particular particle geometries

Recent Advances in Heat Transfer Enhancements: A Review Report

Different heat transfer enhancers are reviewed. They are (a) fins and microfins, (b) porous media, (c) large particles suspensions, (d) nanofluids, (e) phase-change devices, (f) flexible seals, (g) flexible complex seals, (h) vortex generators, (i) protrusions, and (j) ultra high thermal conductivity composite materials. Most of heat transfer augmentation methods presented in the literature that assists fins and microfins in enhancing heat transfer are reviewed. Among these are using joint-fins, fin roots, fin networks, biconvections, permeable fins, porous fins, capsulated liquid metal fins, and helical microfins. It is found that not much agreement exists between works of the different authors regarding single phase heat transfer augmented with microfins. However, too many works having sufficient agreements have been done in the case of two phase heat transfer augmented with microfins. With respect to nanofluids, there are still many conflicts among the published works about both heat transfer enhancement levels and the corresponding mechanisms of augmentations. The reasons beyond these conflicts are reviewed. In addition, this paper describes flow and heat transfer in porous media as a well-modeled passive enhancement method. It is found that there are very few works which dealt with heat transfer enhancements using systems supported with flexible/flexible-complex seals. Eventually, many recent works related to passive augmentations of heat transfer using vortex generators, protrusions, and ultra high thermal conductivity composite material are reviewed. Finally, theoretical enhancement factors along with many heat transfer correlations are presented in this paper for each enhancer

A Novel Derivatization Ultraviolet Spectrophotometric Method for the Determination of Amlodipine Besylate Using Benzoyl Chloride

The present research work aims to develop a novel ultraviolet UV spectrophotometric method for the determination of Amlodipine Besylate using Benzoyl Chloride as a derivatizing agent, which is simple, rapid, sensitive, selective, and accurate method for the spectrophotometric determination of Amlodipine Besylate in powder form.  Synthesis is based upon the Schotten Baumann Reaction. In this method, derivatization of aliphatic amine group of Amlodipine Besylate carried out with benzoyl chloride and aqueous sodium hydroxide (NaOH).The λmax was found to be 237 and 226nm for assay of Amlodipine Besylate and synthesised product respectively. The linearity was found in concentration range of 1-10 μg/ml. The correlation coefficient (r2)was found 0.9985. The regression equation, intercept (a) and slope (b) was found as Y=0.0762x - 0.0077, 0.0077 and 0.0762 respectively. Method was developed and validated as per ICH guidelines for linearity, accuracy, precision, LOD, LOQ, interday and intraday. The LOD and LOQ for estimation of Amlodipine besylate were found as 0.2367, 0.7178 respectively. Recovery of Amlodipine besylate was found to be 93.30%.The proposed method is found to be simple, rapid, selective and highly sensitive than most of the Spectrophotometric methods available in literature. Keywords: Derivatization, Ultraviolet spectrophotometry, Amlodipine besylate, Validation, Synthesis