9 research outputs found
Samrah Mahmoud and Edgar Aguilasocho
No full textSamrah Mahmoud and Edgar Aguilasocho are members of UCI Law’s Inaugural Class of 2012.https://scholarship.law.uci.edu/uci_law_stories_videos_video-interviews_alumniandstudents/1000/thumbnail.jp
01. Law Alumni Association Past Presidents with Erwin Chemerinsky
No full textThe first four presidents of the Law Alumni Association (LAA) receive plaques recognizing their service to the school at the 2016 Public Service Awards Dinner. From left: Alisa Hartz (\u2712), Jeffrey Wachs (\u2712), Isra Shah (\u2712), Mohammad Elayan (\u2712), and Erwin Chemerinsky. Not pictured, recent presidents Tracey Steele (\u2712) and Samrah Mahmoud (\u2712), and current president Stefanie Wilson (\u2714).https://scholarship.law.uci.edu/uci_law_stories_images_alumni/1000/thumbnail.jp
Determining the Appropriate Framework for Commuting Accommodations Under the Americans with Disabilities Act
No full textDetermining the Appropriate Framework for Commuting Accommodations Under the Americans with Disabilities Act
No full textOptimized Performance of Attacks Detection in WSN based on Machine Learning Algorithms
No full textWireless sensor networks (WSN) are a type of wireless network composed of numerous sensors that collaborate to sense, collect, process, and transmit information about the physical environment within the network’s geographical area. The information is ultimately received by the network owner. However, typical attacks such as Blackhole, Grayhole, Flooding, and Scheduling can pose a significant threat to the WSN, potentially causing significant damage to the system in a short period. Detection methods, such as snooping, have demonstrated low detection and high false alarm rates, and require significant computational resources. Additionally, they tend to produce redundant network data. To address these limitations, we propose a novel intervention approach called “Ensemble Bagged Trees,” which employs a squared backward sequence selection (SBS) algorithm to reduce data dimensionality and computational overhead in the feature space of native traffic data. The Ensemble Bagged Trees algorithm is then utilized to detect various network attacks. Experimental results using the WSN-DS dataset demonstrate that the proposed method outperforms typical machine learning detection algorithms, with a detection rate of 99.1% for the normal black hole, gray hole, flood, and tabulation attacks
Incidence, Characteristics, and Survival Trend of Cardiopulmonary Resuscitation Following In-Hospital Compared to Out-of-Hospital Cardiac Arrest in Northern Jordan
No full textPhonological and morphological variation in the speech of Fallahis in Karak (Jordan)
No full textEThOS - Electronic Theses Online ServiceGBUnited Kingdo
Influence of aluminum and vanadium oxides on copper borate glass: A physical/radiological study
No full textDue to the radiation released by commonly used isotopes, many nuclear, medical, and industrial facilities require proper radiation shielding. In this work, distinct copper borate glasses intercalated with varied aluminum and vanadium oxide (Al2O3 and V2O5) content have been synthesized and used against radiation (gamma rays and fast/thermal neutrons). The different percents were as follows: [60% B2O3 + 35% CuO + (5-x)% Al2O3 + xV2O5], where x = 0, 1, and 2.5 wt.%, which was coded as BCu(5-x)Al:xV. The synthesized glass samples were characterized using Fourier transforms, infrared, and X-Raydiffraction analysis. Experimentally, the radiation shielding possessions of the samples were established using an HPGe detector at the gamma energy lines 0.356 MeV, 0.661 MeV, 1.173 MeV, and 1.332 MeV. Also, the prepared glasses were investigated theoretically using the Monte Carlo code (MCNP5) at photon energies of 0.015–15 MeV. Also, the fast and thermal neutron macroscopic effective removal cross-sections were calculated using MRCsC and JANIS-4.1 software, respectively. The prepared sample BCu2.5Al:2.5V, which has a vanadium and aluminum content of 2.5%, has the highest linear attenuation coefficient as well as the highest removal cross-section for fast, and thermal neutrons
Nanoparticle's uptake and translocation mechanisms in plants via seed priming, foliar treatment, and root exposure: a review
No full textNanotechnology is one of the promising techniques and shares wide ranges of applications almost in every field of life. Nanomaterials are getting continuous attractions due to specific physical and chemical properties and being applied as multifunctional material. The use of nanomaterials/nanoparticles in agriculture sector for crop improvement and protection against various environmental threats have attained greater significance. Size and nature of nanoparticles, mode of application, environmental conditions, rhizospheric and phyllospheric environment, and plant species are major factors that influence the action of nanoparticles. The mode or method of nanoparticle applications to plants is attaining greater attentions. Recently, different methods for nanoparticle applications (seed priming, foliar, and root application) are being used to improve crop growth. It is of quite worth that which method is suitable for nanoparticle application, and how nanoparticles can possibly translocate to various plant tissues from root to shoot or vice versa. These information's are poorly understood and need more investigations to explore the comprehensive mechanism by which nanoparticles make their possible entry through different plant organs and how they transport to regulate various physiological and molecular functions in plant cells. Therefore, this study comprehensively provides the knowledge of nanoparticles uptake via seed priming, foliar exposure, and root application, and their possible translocation mechanism within plants influenced by various factors that has not clearly presented. This study will provide new insights to find out an actual uptake and translocation mechanism of nanoparticles that may help researchers to develop nanoparticle-based new strategies for plants to cope with various environmental challenges. This study also focuses on different soil factors or above ground factors that are involved in nanoparticles uptake and translocation and ultimately their functioning in plants.We acknowledge the online webtool “Biorender” to make significant figures to interpret the ideas and findings of the presented study in pictorial form. We acknowledge the State’s Key Project of Research and Development Plan (2019YFC0507702), the Gansu Provincial Science and Technology Major Projects (19ZD2NA002), the Chinese National Natural Science Foundation (31971751), the open projects of Key Laboratory of Superior Forage Germplasm in the Qinghai-Tibetan Plateau (2020-ZJ-Y03), the Foreign Youth Talent Project (QN2022175009L), and the Fundamental Research Fund for the Central Author Universities (lzujbky-2021-ct21) for providing funds for this work
