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Energy Consumption Forecasting for Smart Grids using Machine Learning for Resource Optimization
No full textThe optimization of the energy grid is critical for making it more sustainable and efficient. Deep machine learning techniques can help optimize the energy grid by predicting energy demand and supply, improving energy production and distribution, and making detecting and preventing energy fraud easier. The current study took a comprehensive strategy to model several machine learning models' performances in predicting smart grid stability augmentation. I followed a tight methodology in the research on applying machine learning models, such as decision trees, random forests, K-nearest neighbors, support vector machines, and logistic regression, to the smart grid for stability augmentation. During the smart grid stability augmentation procedure, I found significant disparities in prediction capability amongst the models. Finally, after a comprehensive and complete experimental investigation, I found considerable variances in prediction capabilities. The decision tree model performed optimally: it returned precision, recall, and F1-scores of 1.00 for both classes, which could be easily presented due to the model structure and interpretability. Random Forests performed admirably in accuracy, precision, recall, and overall accuracy, with 100% ideal performance ratings across both classes. The KNN, SVM, and Logistic Regression models had similar accuracies but differed somewhat in precision, recall, and F1-score, indicating some nuanced changes in the classifiers' predictive characteristics. These models demonstrated high accuracy and reliability while being investigated for their possible use in smart grid stability augmentation efforts. Future research should consider ensemble techniques for combining the strengths of individual models, feature engineering strategies to capture the more subtle relationships that may exist within the data, and the development of scalable solutions to handle the complexities of large smart grid systems
Credit Card Fraud Detection Using Machine Learning
Get PDFIn the modern digital economy, credit card fraud poses a significant challenge, necessitating the development of effective detection systems to mitigate substantial financial losses. This study leverages machine learning methods to enhance the accuracy of credit card fraud detection. Various algorithms, including logistic regression, decision trees, support vector machines, deep learning models, clustering algorithms, and anomaly detection techniques, are investigated to identify fraudulent transactions. The project includes feature engineering, comprehensive analysis of credit card transaction datasets, and model comparison based on relevant performance metrics. Additionally, this study explores real-time fraud detection, methods for managing imbalanced data, and emphasizes model interpretability through feature significance and explanation techniques. The findings contribute to bolstering transaction security and reducing instances of fraud
A culturally responsive school counseling group emphasizing a safe space for at-promise Latino 8th-grade boys
No full textMany middle school adolescents face challenges that significantly impact their personal and academic development. At-promise Latino 8th-grade boys are often misunderstood and lack access to the necessary resources to thrive both personally and academically. This culturally responsive school counseling group is designed to create a safe and supportive environment for at-promise Latino 8th-grade boys who are vulnerable to substance use, school dropout, and gang affiliation. Through targeted activities and discussions addressing the specific challenges they encounter, this group counseling intervention aims to equip participants with essential tools to recognize the importance of positive role models, self-efficacy, goal setting, mental health, and fostering connections
¡Hombres, Si Podemos! Men, Yes We Can!
No full textMany Latino adolescents go through stressful situations in their lives that significantly impact their mental health. However, as a man within the Latino culture, it is not so easy to make yourself emotionally vulnerable or communicate facing mental health distress. Additionally, there is a gap in terms of resources available for the Latino community, nor do many of them have the education to go out and seek professional support. This psychoeducational curriculum aims to provide Latino adolescents with the tools to understand the severity of mental health and the various factors that affect them within their environment; additionally, the knowledge to know when and where to receive help
Second Generation Oral History Project Audrey Nguyen . Exploring Cultural Identity through the Vietnamese American Experience
No full textAudrey Nguyen, a 23-year-old second-generation Vietnamese American, was interviewed about her upbringing, family background, cultural identity, and experiences as a Vietnamese American. She grew up in San Jose, California, and her parents were refugees from Vietnam who came to the U.S. In the 1980s. Audrey describes her parents as hardworking and supportive, but notes that she has struggled to fully connect with her Vietnamese heritage, as her family focused more on assimilation. She has experienced some discrimination and prejudice related to her ethnicity, but has generally had a positive experience growing up. Audrey is now making efforts to learn the Vietnamese language and better understand her cultural background, as she feels a stronger connection to her Vietnamese identity. She recognizes the challenges that can arise between first-generation and second-generation Vietnamese Americans, and hopes to bridge that gap for future generations
On the Four Orientations of Wang Yangming's Tenet of the Unity of Knowing and Acting
Get PDFWhen the Ming dynasty Confucian Wang Yangming (1472-1529) proposed his tenet of the unity of knowing and acting (zhi xing heyi 知行合一), he did so because he believed that Zhu Xi (1130-1200), his revered Song dynasty predecessor and architect of the School of Principle (Neo-Confucianism), had wrongly conceptually divided knowledge and action, and that this had led to profound problems of an existential nature for the individual with real-world consequences. For Wang Yangming, the relation between knowledge and action is fundamentally one of identity, an identity grounded in the inherent, true condition of the vital being of the individual, in a unity of mind and body. He called this identity the original condition and original form of knowing and acting, explaining it in various ways. This article first explains how Wang Yangming positioned his tenet in relation to Zhu Xi's conceptualization of the relation between knowledge and action, and then elucidates his conception of the unity of knowing and acting in four orientations, according to the different senses in which knowledge/knowing are understood: as perception, as awareness, as what is known, and as the innate knowing
Women Cleverness in Premchand's Stories
Get PDFPremchand is also called the Indian Shakespeare. He is a social novelist and storyteller. Women are physically weaker than men. In the society of men, cleverness is the quality that protects them. Since ancient times, we have been hearing stories of women's cleverness. Cleverness means skill and grace in dealing with others. Since ancient times, the world has admired women's tendency to be talkative and eloquent. In the Hindi literary tradition, where women were not present as more than just characters in the stories, Premchand made the political advisory expression of his female characters possible by placing them on a solid socio-economic basis. Literary critics and historians have tried to understand the voice of women in Premchand's literature, and every time, our understanding of Premchand's literature has increased. The community of female characters formed in Premchand's fiction can be broadly included in four categories. The first category is of women who have taken the ideal form of womanhood, the second category is of women who are influenced by Western culture and are not at all perfect women, the third category is of those who are exploited and suppressed, and the fourth category is of women who are rebels or raise their voice and are clever. Premchand has depicted clever women in his stories who avoid being exploited by their cleverness. They not only protect themselves but also rescue their loved ones from trouble. In many places, women have misused their cleverness, and instead of helping other women, they have been put in more trouble. Premchand has described the cleverness of women in his stories with outstanding balance. Women are clever by nature. The only thing is that they should not let their emotions dominate their cleverness
Atropisomerism in 1-aryl and 1,3-Diaryl Benzimidazole Systems
Get PDFN-aryl benzimidazole compounds were synthesized using copper C-N arylation reactions. This approach used aryl halides and a copper catalyst to mono-arylate benzimidazoles with yields ranging from 40-85%. Then, a second arylation was performed using iodonium salts as strong electrophiles, with yields ranging from 43-65%. Additional methods of arylating were also pursued for some of the bulkier aryl groups producing yields from 37.8-66% for compounds that could not be synthesized using aryl halides/iodonium salts. Both mono-arylated and di-arylated compounds were then investigated to determine the barrier of rotation of the N-aryl groups. Molecular modeling was performed to gain insight into the rotations and dihedral angles of these compounds. X-ray crystallography was used to confirm structures and determine the dihedral angles between the benzimidazole and the aryl groups. Dynamic 1HNMR was used to determine a coalescence temperature and identify chemical shifts that could be used to analyze the barriers of rotation. Rotational barriers for various 2-substituted aryl groups showed similar results for most compounds tested
DNA Major Versus Minor Groove Occupancy of Monomeric and Dimeric Crystal Violet Derivatives
No full textDNA, a biopolymer that houses vast amounts of biological information in genes composed of multiple deoxynucleotides, typically adopts a B-form double helical structure featuring major and minor grooves. Proteins, including transcription factors, primarily engage with the major groove of DNA, highlighting their role in genetic disease development. Inhibiting protein interactions with the major groove holds promise for disease treatment, and therefore designing sequence-specific small molecules capable of major groove binding could be pivotal in genetic disorder therapy. Our research focuses on assessing synthetic small molecules' ability to associate with DNA's major groove. This study examines 11 synthetic ligands and their potential as major groove binders, building upon prior experiments revealing their binding modes. Assessment of these compounds' binding to Calf Thymus DNA through competitive fluorescent intercalator displacement (FID) assays, viscosity experiments, and UV and CD spectroscopy indicates that monomeric derivative 1a and dimeric derivative 2d likely bind to the major groove of DNA, whereas dimeric derivatives 2a and 2e likely bind to the minor groove of DNA. This work serves to enhance our comprehension of DNA binding interactions with small molecules, providing deeper insights that bring us closer to designing sequence-specific major groove binders. Such binders hold potential for aiding in the treatment of genetic diseases
Investigating the Kinetics of Flavin N5-oxide Formation During Catalysis by DszA
No full textDszA is a class C flavin dependent monooxygenase (FMO) that participates in the 4S biodesulfurization pathway in Rhodococcus erythropolis. The mechanism by which DszA catalyzes the conversion of dibenzothiophene sulfone into 2'hydroxybiphenyl-2-sulfonic acid is not fully understood. Recent studies into DszA have shown that flavin oxidizes to form a flavin N5-oxide (FlN5O) that is typically unseen in most FMOs. This observation puts DszA into a newly identified subclass of FMOs that use FlN5O in catalysis. FlN5O formation occurs by oxygen addition to N5 and is primarily influenced by the presence of a re-face oxygen binding pocket centered on this position. Additionally, some FMOs contain amino acid residues that donate hydrogen bonds to N1 and C2=O of the isoalloxazine which shifts electron spin density towards N5. Based on homology models, the Ser139 residue appears to be the only amino acid close enough to interact with flavin's isoalloxazine ring. Accordingly, we expect this residue to influence FlN5O formation. This residue was investigated by SDM (to generate the S139A-DszA mutant protein) in combination with biochemical analysis. Wild type DszA and S139A-DszA were then assessed for activity, their affinity for FMNH-, the formation of FlN5O and its dependence on substrate, and the rate of FlN5O or flavin oxidation. HPLC endpoint assays showed that DszA was active and S139A was inactive. Stopped-flow titration experiments were used to determine flavin dissociation constants of 27.54 ± 4.94 µM (DszA) and 101.07 ± 6.416 µM (S139A-DszA), a 3.67-fold decrease in flavin affinity. FlN5O formation was witnessed in DszA but not in S139A-DszA, which occurred in a two-step substrate dependent process with first order rate constants of 12.69 s-1 and 1.71 s-1, for steps one and two respectively. In S139A-DszA, flavin directly oxidized in a two-step substrate independent process with first order rate constants of 2.96 s-1 and 0.14 s-1, for steps one and two respectively. The results of this study conclude that FlN5O forms in DszA and requires the presence of substrate, similar to the mechanisms observed in RutA and EncM. Additionally, Ser139 is an important residue that affects the strength of flavin binding and FlN5O formation