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32 articles for “Acquiring”

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Research ArticleOpen accessEvery word in the titleRisks and Realities: Rochester Area Lesbians' Perceived Risk of Acquiring Sexually Transmitted InfectionsDevika Singh, Nancy Chin, Theodore Brown, Sharon GlezenThere was limited information available in the clinical and public health communities about Sexually Transmitted Infections (STIs) among lesbians and bisexual women. This study intends to investigate perceived risks of acquiring STIs among lesbians in Rochester, New York. This research concludes that Rochester area lesbians do not perceive themselves at significant risk of acquiring STIs. A gap exists in the … …Journal of Social Sciences, Vol. 2, Issue 4 · 31 Dec 2006 · 7,829 accessesView PDFCite
Research ArticleOpen accessIn the keywordsSales Forecasting Models: Comparison between ARIMA, LSTM and ProphetDmitry BrykinSales forecasting is crucial for business planning and resource allocation. Data-driven approaches have become popular in this field. This study compares the performance of three forecasting models: Autoregressive Integrated Moving Average (ARIMA), Long Short-Term Memory (LSTM) and Prophet within the context of specific sales categories derived from acquiring data provided by a bank. This study uses a time series dataset … …Journal of Computer Science, Vol. 20, Issue 10 · 1 Aug 2024 · 7,981 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Comprehensive Review of Medical Image Denoising: Techniques, Challenges, Applications and Future DirectionsMohit Sharma, Ayush Dogra, Anita Gupta et al.The concept of noise reduction in medical images plays a vital role in improving image quality and accuracy associated with diagnosis, and facilitating reliable automated analysis. This survey presents a structured overview of medical image denoising, beginning with foundational definitions and noise models for modalities such as MRI and CT. We critically evaluate persistent gaps, including the limited generalizability of … …Journal of Computer Science, Vol. 22, Issue 3 · 28 Mar 2026 · 1,849 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Attention-Based Stacked Bi-LSTM Model for Automated MultiImage CaptioningPaspula Ravinder, Saravanan SrinivasanIn recent days, the process of medical image captioning is become a prominent field. The distinct characteristics of medical imaging data provide a number of challenges when captioning medical images. Also, the variability in image modalities makes it difficult to generate an effective captioning process. Thus, the proposed study aims to design a novel Multi-image Captioning Hybrid Attention Model to … …Journal of Computer Science, Vol. 21, Issue 4 · 8 Mar 2025 · 5,157 accessesView PDFCite
Literature ReviewOpen accessIn the abstractOn the Natural Intelligence and Consciousness of the Immune System and its Relationship with the BrainMarco Ruggiero, Akira HiratsukaIn this article, we consider the relationship between the brain and the immune system in the context of the Orchestrated Objective Reduction (Orch OR) theory of consciousness. Orch OR is a theory that postulates that consciousness arises from quantum computations occurring inside microtubules. The immune system is capable of acquiring, learning, and remembering information, thus showing all the attributes of … …American Journal of Immunology, Vol. 19, Issue 1 · 17 Apr 2024 · 11,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractLogic and the Mathematic Model of the Subject-Area Description for Corporate Information SystemsKonstantin Yurievich Maslenikov, Georgiy Ivanovich RevunkovAiming to build and receive a logic-mathematical substantiation and model of the process of constructing the description of any subject area for corporate information systems, the authors divided the subject area for building the system into constituent elements and the relationships between them. Using discrete mathematics methods to the graphs and two-seater predicates of the first order, we built an … …Journal of Computer Science, Vol. 18, Issue 1 · 2 Feb 2022 · 6,580 accessesView PDFCite
Research ArticleOpen accessIn the abstractTopic-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
Review ArticleOpen accessIn the abstractBig Data and its Future in Computational Biology: A Literature ReviewIman Ahmed ElSayed, Kamal ElDahshan, Hesham Hefny, Eman Karam ElSayedBig data technologies are used majorly for computational biology research nowadays due to the emerge of massive amounts of biological data that have been generated and collected at an unprecedented speed and scale and with different structures. As an example, the processing of billions of DNA sequence data per day represents the new generation of sequencing technologies. It is expected … …Journal of Computer Science, Vol. 17, Issue 12 · 31 Dec 2021 · 6,598 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Time Series Forecasting for the Cumulative Confirmed and Critical Cases of the Covid-19 Pandemic in Saudi Arabia using Autoregressive Integrated Moving Average (ARIMA) ModelSamer H. Atawneh, Osamah A.M. Ghaleb, Ahmad MohdAziz Hussein et al.Reviews at present, different machine learning techniques and algorithms have been applied for predicting significant factors of the Coronavirus Disease-2019 (COVID-19) such as the outbreak and diagnosis. In this study, the most accurate time series forecasting model, namely, the Autoregressive Integrated Moving Average (ARIMA) model is used to forecast the expected cumulative number of confirmed and critical cases in Saudi … …Journal of Computer Science, Vol. 16, Issue 9 · 30 Sep 2020 · 7,596 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Static Analysis of Android Source Code for Lifecycle Development Usage PatternsNoura Hoshieah, Samer Zein, Norsaremah Salleh, John GrundyBuilding robust Android apps is a non-trivial task that requires skilled developers to understand various Android platform peculiarities. However, among the Android developers community, a large fractions are considered to be novice and inexperienced developers. One of the main peculiarities in the Android app development is the activity lifecycle model. A developer needs to have deep understanding of the different … …Journal of Computer Science, Vol. 15, Issue 1 · 10 Jan 2019 · 8,661 accessesView PDFCite