Research ArticleOpen accessIn the keywordsMultilevel Evaluation of Coulomb Lattice Sums of Charge SystemsV. Ilyin, A. Brandt, I. SuwanProblem statement: Due to the long range nature of interactions of the N-body systems, direct computation of the Coulomb potential energy involves O(N2) operations. To decrease such complexity, a simple Multilevel Summation method has been developed. Approach: In the frame of the Multilevel Summation method, the two-body interaction is decomposed into two parts: a local part and a smooth part. … …Journal of Mathematics and Statistics, Vol. 8, Issue 3 · 11 Sep 2012 · 7,377 accessesView PDFCite
Research ArticleOpen accessIn the keywordsTopic-Transformer for Document-Level Language UnderstandingOumaima Hourrane, El Habib BenlahmarAs long as natural language processing applications are considered prediction problems with insufficient context, usually referred to as a single sentence or paragraph, this does not reveal how humans perceive natural language. When reading a text, humans are sensitive to much more context, such as the rest or other relevant documents. This study focuses on simultaneously capturing syntax and global … …Journal of Computer Science, Vol. 18, Issue 1 · 22 Jan 2022 · 6,616 accessesView PDFCite
Research ArticleOpen accessIn the keywordsRecent Trends in Ozone and Particle Concentrations in the Sydney (Australia) AirshedMerched Azzi, Hiep DucAn overview is presented of changes in ground level ozone and atmospheric fine particles determined using ambient monitoring data collected at selected locations in Sydney, Australia. After removing seasonally, auto-regressive and moving average dependence from the selected time series, the trend of a selected series was modelled using the fractional long-term dependent component. The selected technique was able to detect … …American Journal of Environmental Sciences, Vol. 4, Issue 5 · 31 Oct 2008 · 6,682 accessesView PDFCite
Research ArticleOpen accessIn the keywordsVolatility in Malaysian Stock Market: An Empirical Study Using Fractionally Integrated ApproachChin Wen CheongThis study explores the fractionally integrated (FI) time series analysis in Malaysian stock market. Four proxies of latent volatility, namely the absolute return, squared return and range-based (Parkinson and Garman and Klass) volatilities are selected for the empirical studies. In addition, the well-known FI autoregressive conditional variance (ARCH) type model is also taken into account for comparison purposes. Our empirical … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 6,706 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Synergy: CNNs and Transformers for Epidemic Outbreak ForecastingAlexander R., Shakthi Priya V., Sumathi G. et al.An Accurate prediction of outbreaks is extremely crucial for taking proactive public health interventions, distributing limited resources, and controlling a disease. This paper assesses and also compares the performances of the available deep learning models, namely, Convolutional Neural Network (CNN), Long Short-Term Memory (LSTM) networks, and Bidirectional Long Short-Term Memory (BiLSTM) networks, in predicting. CNNs are best for feature extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 23 Jan 2026 · 2,113 accessesView PDFCite
Research ArticleOpen accessIn the abstractCrack Bridging and Deflection Toughening Mechanisms of Staggered Hydroxyapatite Lamellar Microstructure in BoneYuxi Liu, Xiaohui He, Shuge Li, Zhangdong SunThe observation experiment results of the microstructure of tibial cortical bone show that the cortical bone is a layered bio-ceramic composite material composed of Hydroxyapatite (HAP) and collagen arranged alternately. HAP is a reinforcing phase and accounts for a large proportion in cortical bone. These hydroxyapatites have long and thin sheet-like structures parallel to the outer surface of the bone, … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 31 Jul 2026 · 890 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnimal Health Prediction Using Hybrid CNN Based BiLSTM Classification Model: A Deep Learning ApproachJ. Rathi, A. SumathiAccurate prediction of animal diseases is vital in veterinary medicine, as it can substantially enhance animal health outcomes and mitigate economic losses, making it a critical task that warrants attention and innovative solutions. This paper proposes a novel approach to animal condition classification, leveraging an Auto-encoder-based feature selection process and an Improved Hybrid Convolutional Neural Networks (CNN) with Bidirectional (Bi-LSTM) … …Journal of Computer Science, Vol. 22, Issue 5 · 20 May 2026 · 1,481 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Deep Learning Model for Evaluating Subjective Answers Based on Semantic Textual SimilaritySiddhesh Kudtarkar, Kavita ShirsatSubjective answer evaluation requires accurately identifying semantic similarities between student and reference responses. This study introduces a Hybrid Deep Learning Model (HDLM) that integrates CNN, GRU, and LSTM architectures to assess Semantic Textual Similarity (STS) more effectively. The HDLM employs two parallel branches-CNN-GRU and CNN-LSTM to capture both local syntactic features and long-range contextual dependencies, followed by Manhattan distance for … …Journal of Computer Science, Vol. 22, Issue 4 · 7 Apr 2026 · 1,690 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffects of Vitamin E on Stress Resorption, Lipid Profile and Reproductive Performance of Sokoto Red GoatsKehinde Matthias OKUKPE, Ling Shing Wong, Geetha Subramaniam et al.Vitamin E (α-tocopherol) plays a critical role in animal nutrition as an antioxidant, contributing to anti-inflammatory responses, immune function, and gene expression regulation. This study aimed to determine the optimal dietary level of vitamin E to alleviate the effects of environmental stress in Sokoto Red Goats transported from their native dry savannah belt to the humid derived savanna belt of … …OnLine Journal of Biological Sciences, Vol. 26, Issue 1 · 20 Mar 2026 · 1,509 accessesView PDFCite