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Research ArticleOpen accessEvery word in the titleImmunomodulatory and Antioxidant Properties of Kaurenoic Acid on Macrophages of BALB/c in VitroJuliana Aparecida Macri, Suelen Santos da Silva, Milena Menegazzo Miranda et al.Kaurenoic acid has been displaying anti-inflammatory effect described in different models. However, the per se immunomodulatory effects of kaurenoic acid remain to be investigated. Thus, the immunomodulatory and antioxidant effects of kaurenoic acid were investigated in vitro on peritoneal macrophages from BALB/c mice. Kaurenoic acid induced per se the production of pro-inflammatory cytokines such as TNFα, IL-1β and IFN-γ while … …American Journal of Immunology, Vol. 10, Issue 4 · 16 Feb 2015 · 7,883 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Design of MAC Model Based on the Separation of Duties and Data Coloring: DSDC-MACSoon-Book Lee, Yoo-Hwan Kim, Jin-Woo Kim, Chee-Yang SongAmong the access control methods for database security, there is Mandatory Access Control (MAC) model in which the security level is set to both the subject and the object to enhance the security control. Legacy MAC models have focused only on one thing, either confidentiality or integrity. Thus, it can cause collisions between security policies in supporting confidentiality and integrity … …Journal of Computer Science, Vol. 16, Issue 1 · 19 Jan 2020 · 7,459 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEmbedded Software Platform Used for Detection and Mitigation of a MAC Anomaly in IEEE 802.11n NetworksArgemiro Bevilacqua, Vitor Chaves de Oliveira, Gunnar Bedicks Jr. et al.IEEE 802.11 standard is largely used anywhere as a cheap way to access internet, but the majority of devices used does not provide a standard way to manage them. Mobile stations competing for access point may causes a general wireless network failure, known as the ''MAC Anomaly''. It is presented here an access point with modified firmware, that monitors wireless … …American Journal of Applied Sciences, Vol. 12, Issue 12 · 21 Nov 2015 · 6,509 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDesign a New Bidirectional Transmission Protocol to Improve the Performance of MAC Layer Based on Very High Speed WLANsAli Ahmad Milad, Zul Azri Bin Muhamad Noh, Abdul Samad Shibghatullah et al.This paper presents a new bidirectional transmission protocol with single data frame to computing the performance of MAC layer based on IEEE 802.11n. As high as 600 Mbps of physical data rate is achieved in IEEE 802.11n where high data rate the current MAC layer leads to high performance overhead and low performance of throughput and designing the MAC layer … …Journal of Computer Science, Vol. 11, Issue 5 · 23 Jun 2015 · 6,948 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleHistory Based Contention Window Control in IEEE 802.11 MAC Protocol in Error Prone ChannelAli Balador, Ali Movaghar, Sam JabbehdariProblem statement: IEEE 802.11 Medium Access Control (MAC) protocol is one of the most implemented protocols in this network. The IEEE 802.11 controls the access to the share wireless channel within competing stations. The IEEE 802.11 DCF doubles the Contention Window (CW) size for decreasing the collision within contending stations and to improve the network performances but it is not … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Jul 2010 · 7,662 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEarly Diagnosis of Parkinson's Disease Through Voice Analysis and Machine LearningAmrita Naik, Mohd Sahil Khan, Akhilesh Manoj Saraf et al.Parkinson’s Disease (PD) is a progressive neurological disorder, and its prevalence has increased considerably in recent years. Early and accurate diagnosis plays a crucial role in effective treatment, but identifying the disease in its early stages remains challenging, especially for non-specialist clinicians. This study presents a predictive analytics framework for detecting Parkinson's disease using voice-based features. To improve the diversity … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 637 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Machine Learning Framework for Strategic Gameplay Optimization in Scrabble Using Reinforcement LearningMohd Kaleem, Kanta Prasad Sharma, Tapsi Nagpal et al.This paper explores and compare various artificial intelligence-based techniques used for playing classic board game Scrabble. As the world is evolving around finding quick and efficient techniques for the solution of each problem using Machine learning, gaming industry is also a flourishing industry and has grown 9.8% compared to previous year and has generated a revenue of 26.14 billion dollars … …Journal of Computer Science, Vol. 22, Issue 9 · 22 Sep 2026 · 666 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleHuman Activity Recognition at the Edge: A Systematic Review of Machine Learning Models, Deployment Constraints, and Latency Energy Accuracy Trade offsJose Antonio Rojas Guillén, Wini Ebelin Quispe Bautista, Arturo Gamarra MorenoHuman Activity Recognition (HAR) has become a key component of intelligent healthcare monitoring, assisted living, sports analytics, smart environments, and wearable computing. However, the migration of HAR models from cloud-centered architectures to edge, embedded, mobile, and wearable platforms introduces constraints related to computational capacity, memory footprint, battery consumption, inference time, and real-time responsiveness. This study presents a systematic literature review … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 593 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMachine Learning Based Prediction of Catch Yields in Small Scale FisheriesEpifelward Niño Olaivar Amora, Patrick D. CernaSmall-scale fisheries are critical for food security and livelihoods but increasingly face threats from overfishing and environmental change. This study employed machine learning to predict catch yields in Cogtong Bay, Philippines, using 3,478 records collected in 2020–2021 that included species, gear, location, season, and weather data. Models developed in Python with scikit-learn and XGBoost compared Random Forest (RF), Extreme Gradient … …Journal of Computer Science, Vol. 22, Issue 8 · 24 Aug 2026 · 1,096 accessesView PDFCite