The distribution of toxic sources in Louisiana by Djoundourian, Salpie Sarkis

“…The results reveal that income levels in communities that host toxic sources are consistently and significantly lower than the state averages. …”
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Cluster-based anonymity model and algorithm for 1:1 dataset with a single sensitive attribute using machine learning technique by J. Jayapradha (21323774)

“…Privacy-preserving data publishing is significant as privacy violations in the patient’s data may have an adverse effect on the individual positive reputation. …”

Renewable Energy, Coal as a Baseload Power Source, and Greenhouse Gas Emissions: Evidence from U.S. State-Level Data by Squalli, Jay

“…After accounting for the role of coal as a baseload power source, an increase in the share of renewable energy is estimated to mitigate N2O emissions at the U.S. state level only if states individually decrease their share of coal use to levels below 41.47%. …”
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Assessing the Electricity Production Capacities of Emerging Markets for the Sustainable Investments by Tamer Aksoy (17947802)

Assessment of the use of dolomite for the recovery of ammonia from field landfill leachate. (c2019) by Rayshouni, Hussein

“…However, using dolomite calcined at 950 °C with the same phosphate source showed a significant decrease in removal efficiency to 44%, while using dolomite calcined at 750 °C (under continuous CO2 injection) resulted in a removal efficiency of 37%. …”
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A Hybrid Intrusion Detection Model Using EGA-PSO and Improved Random Forest Method by Amit Kumar Balyan (18288964)

“…Due to a limited training dataset, an ML-based IDS generates a higher false detection ratio and encounters data imbalance issues. …”

The impact of taxation, technological innovation and trade openness on renewable energy investment: Evidence from the top renewable energy producing countries by Ebaidalla M. Ebaidalla (16960008)

“…Conversely, innovation and trade openness exhibit a positive and significant influence on clean energy investment. …”

Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy, Mallah

“…Oncology nurses, having a direct significant contact with these patients, could be the first information source concerning food safety and play a pivotal role in reducing these risks. …”
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PSYCHOLOGICAL EMOTION RECOGNITION OF STUDENTS USING MACHINE LEARNING BASED CHATBOT by Khalil Assayed, Suha

“…In this paper, we propose a chatbot for detecting the students feeling by using machine-learning algorithms. The authors used a dataset of tweets from Kaggle’s paltform, and it includes 41157 tweets that are all related to the COVID 19. …”
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Time series analysis of environmental quality in the state of Qatar by Ammar, Abulibdeh

“…The results indicate that electricity consumption, energy consumption, and the crop production index have a positive and significant relationship with GHGs, while economic growth has a negative and significant relationship in the long term with these gases. …”
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Time series analysis of environmental quality in the state of Qatar by Ammar Abulibdeh (15785928)

“…The results indicate that electricity consumption, energy consumption, and the crop production index have a positive and significant relationship with GHGs, while economic growth has a negative and significant relationship in the long term with these gases. …”

Tragopogon porrifolius water extract. (c2010) by Saab, Lea Elias

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Exploring the dynamics of algae-associated microbiome during the scale-up process of Tetraselmis sp. microalgae: A metagenomics approach by Hoda, Hosseini

“…Microbial profiling of each successive stage revealed lower abundance of eukaryotic organisms, whereas bacterial abundance increased notably resulting in a significant decrease in Tetraselmis sp. abundance. Furthermore, several bacteria with algae growth-promoting properties were found throughout the various culture stages including Balneola, Roseovarius, and Marinobacter. …”
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Arabic Hotel Reviews Sentiment Analysis Using Deep Learning by ALMANSOORI, MOHAMMAD

“…Arabic Hotel Feedback sentiment analysis plays a significant role in understanding the opinions and sentiments expressed by customers in their reviews. …”
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Artificial Intelligence Frameworks for Sentiment Variations’ Reasoning and Emerging Topic Detection by ALATTAR, FUAD ABDELWAHAB ABDELQADER

“…Subsequently, the selected classifier is applied on a real-life large Twitter dataset, which includes around two million tweets, to extract positive/negative/neutral sentiments. …”
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Exploring the dynamics of algae-associated microbiome during the scale-up process of Tetraselmis sp. microalgae: A metagenomics approach by Hoda Hosseini (16932462)

“…Microbial profiling of each successive stage revealed lower abundance of eukaryotic organisms, whereas bacterial abundance increased notably resulting in a significant decrease in Tetraselmis sp. abundance. Furthermore, several bacteria with algae growth-promoting properties were found throughout the various culture stages including Balneola, Roseovarius, and Marinobacter. …”

Food safety knowledge attitude and practices of oncology nurses, in Lebanese hospitals by Angy Mallah (17831954)

“…Oncology nurses, having a direct significant contact with these patients, could be the first information source concerning food safety and play a pivotal role in reducing these risks.…”

A Comparative study of Technical Efficiency in GCC Islamic Financial Institutions during the Global financial Crisis using Malmquist-Type Data Envelopment analysis by Al Hammadi, Khalid Faisal

“…The results suggest that generally GCC and non-GCC IFIs efficiency was not significantly affected by the financial crisis. However, Individual IFIs result showed that some bank has experienced increase or decrease of efficiency after the crisis. …”
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Not all crops are equal: the impacts of agricultural investment on job creation by crop type and investor type by Habiba Mohammed Yimam (16946568)

“…<p dir="ltr">Significant agricultural investment has taken place across Africa over the most recent two decades. …”

A Comparative Evaluation of Speech-Text Effective Approaches for Arabic Sentiment Analysis by HADEED, MARIAM SUHAIL

“…Specifically, the study compares Arabic speech sentiment analysis with its transcript analysis, employing CNN, LSTM, BI-LSTM, and GRU models. A diverse dataset comprising Arabic speech and text samples, encompassing positive, negative, and neutral sentiments, was meticulously curated for this purpose. …”
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