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Longitudinal Impacts of Religious Profiles on Substance Abuse Among Emerging Adults: A Fusion of Unsupervised and Supervised Learning Approach
No full textThis study aims to assess the longitudinal patterns of multifaceted religious profiles and their relationships with illegal substance abuse among young people transitioning from late adolescence to early adulthood. A novel longitudinal approach integrating the cutting-edge unsupervised and supervised learning techniques is proposed to analyze the data from the National Longitudinal Survey of Youth 1997. The results show that emerging adults who are highly religious in either subjective (e.g., religious beliefs) or objective (e.g., religious attendance) domain are much less likely to abuse illegal substances than their religiously disengaged peers. Religiosity, regardless of subjective or objective, tends to be protective, but its effect is most prominent among young people most profoundly devoted to both religious beliefs and behaviors. Nevertheless, possessing strong commitment to religious beliefs without accompanying frequent religious behaviors may put emerging adults at greater risk for illicit substance abuse, compared to those who hold high level of religious beliefs but do not engage in corresponding religious behaviors frequently
Having a Disability and Identifying as LGBTQ+: Are Educational Professionals Prepared for this Intersectional Experience?
No full textThis article examines the perceptions, attitudes, understanding, and knowledge of special education case managers in the United States working with students with disabilities who identify as LGBTQ+. Through a qualitative descriptive study grounded in descriptive phenomenological theory, the study examines the case managers’ personal experiences working with students with disabilities identifying as LGBTQ+, and it examines their preparedness to best support these students. Discussions of IEP development, IEP transition planning, knowledge of resources and agencies are examined. After data collection, a thematic analysis was conducted, which yielded five themes: creation of a safe space; understanding while learning; supportive of all students; more training and professional development; and need for resources. This study contributes to the literature in understanding the intersectional realities of having a disability and identifying as LGBTQ+. More specifically, this study reveals a strong need for more training and support for educational professionals to better work with students living this intersectional experience. Implications are discussed and resources are provided to help case managers in their work, as well as providing insight to school districts and educational preparation programs to better prepare professionals in this area
A Study of Real-Time Scheduling Algorithms in Cluster Environment Based on Machine Learning
No full textMachine Learning is on the rise and is transforming industries across the board, from climate forecasting to stock price evaluation. In this study, we explore the use of machine learning in real-Time scheduling algorithms for cluster environments. Using the \u27GWA-T-4 Auver Grid\u27 dataset, we predict burst times of processes with an accuracy of over 87%. We then compare the performance of the FCFS and SJF scheduling algorithms using these predictions, and find that while SJF performs better, it is better suited for short processes, while FCFS is better for longer ones. Our results provide insight into the potential of machine learning in the realm of real-Time scheduling algorithms for cluster environments
The relationship between IPOs and macroeconomic factors in the Chinese stock market
No full textThe objective of this study is to examine the relationship between external macroeconomic factors and the number of monthly IPOs in the Chinese stock market using data from the Shanghai Stock Exchange (SSE). The study investigated four macroeconomic variables: industrial production (economic activity), long-term interest rates, stock market return, and market volatility. In simplistic terms, these four macroeconomic factors constitute the independent variables, and the number of monthly IPOs for the Chinese market constitutes the dependent variables. As stated, the data were obtained from the Shanghai Stock Exchange and consisted of Monthly IPOs from 2010 to 2020. The study also split the data set into two time periods, 2010–2013 and 2014–2020, to examine the effects of the global financial crisis of 2007–2008 on the Chinese IPO market. The period from 2010 to 2013 represents the “aftershock period,” and the period from 2014 to 2020 represents the “stability period.” By employing several econometric models, research results indicate that all four macroeconomic variables impacted IPOs in the Chinese stock market during the 10-year period under consideration
SMILES and Quasi-SMILES in QSAR Modeling for Prediction of Physicochemical and Biochemical Properties
No full textQSAR modeling of diverse physicochemical and biochemical properties of organic chemicals and nanomaterials utilizing the simplified molecular-input line-entry system (SMILES) and quasi-SMILES representation is quite a popular approach nowadays. Along with the SMILES, the quasi-SMILES approach offers the likelihood to identify and weigh the statistical importance of various eclectic data accessible for computational systematization and analysis. Therefore, the quasi-SMILES can be helpful as a tool for drug design, environmental risk assessment, and regulation caused by applying nanomaterials and organic chemicals as the method gives the possibility to consider building up corresponding models. The Monte Carlo method is applied to build up the QSAR modeling employing information collected from SMILES and quasi-SMILES. The model can be freely developed using open-access CORrelation And Logic (CORAL) software. The quasi-SMILES is an ideal approach for complex chemical systems like nanomaterials where there is no limitation to choose the list of eclectic data to make a reliable, efficient, and predictive QSAR model. In the present book chapter, we will talk about the fundamental of SMILES and quasi-SMILES-based QSAR models and their major applications in physicochemical and biochemical properties prediction
Structure-based drug design-guided identification of estrogen receptor binders
No full textCancer is one of the life-threatening diseases and the second leading cause of death in the world. The estrogen receptor can be considered as one of the significant drug targets for cancer. A large number of clinically used anticancer drugs were identified from phytochemicals. Multiple literatures suggested that extracts of Datura sp. significantly inhibit estrogen receptors associated with human cancer. In the present study, all reported natural products present in Datura sp. were subjected to molecular docking against estrogen receptors. The top hits were shortlisted based on binding orientation and docking score and subjected to molecular dynamics simulation to explore the conformational stability followed by binding energy calculation. The ligand [(1S,5R)-8-Methyl-8-Azabicyclo [3.2.1] Octan-3-yl] (2R)-3-Hydroxy-2-Phenylpropanoate depicts highly acceptable MD simulations outcomes and drug-likeness profile. Knowledge-based de novo design and similar ligand screening were executed using the structural information. The designed ligand DL-50 exhibited satisfactory binding, drug-likeness profile, and well-accepted ADMET profile followed by easy synthetic accessibility which further requires experimental validation. Graphical abstract: [Figure not available: see fulltext.]
Construction of Te-ZnO@S-g-C3N4Heterojunction Nanocomposites for the Efficient Removal of Methylene Blue, Antifungal Activity, and Adsorption of Cr(VI) Ion
No full textHeterojunctions have proven to be effective catalysts for removing organic pollutants and heavy metals from wastewater. The following study is also about the formation of 2D heterojunction tellurium-doped zinc oxide composite with sulfur-doped graphitic carbon nitride (Te-ZnO@S-g-C3N4) by adopting a low-cost, simple, and ecofriendly coprecipitation technique. Thiourea was calcined to prepare S-g-C3N4 using the thermal degradation method. The characterization of synthesized photocatalysts was carried out by using SEM-EDX, FTIR, and XRD. The results obtained showed that the incorporation of tellurium caused an alteration in the wurtzite structure of ZnO. SEM-EDX analysis validated the purity of the synthesized samples due to the absence of any additional peaks. The decrease in the bandgap was also noted by the formation of composites. Using methylene blue as a reference dye, the UV-vis spectrophotometer was utilized to calculate the absorbance for photocatalytic degradation behavior. As a result of tellurium doping into the ZnO lattice, photocatalytic oxidation/reduction was improved, according to the results. 3Te-ZnO NPs showed the best degradation rate among dopant series, while an excellent overall degradation rate was noted by fabricated composite 3Te-ZnO@40S-g-C3N4. The best doped ZnO and composites were also used as sorbents for the abstraction of heavy metal (Cr(VI)) from water via adsorption. A definite rise in the removal efficiency percentage of chromium ions was observed by using these sorbents. The overall photo degradation rate and adsorption behavior noted were in Zn
Reimagining Affection in a Changing Shanghai: A Rhizomatic Young Cartography of Birdhead’s Contemporary Photography
No full textThe article examines the dynamics of space surrounding Shanghai’s rampant urban change as experienced by the Chinese artistic duo known as Birdhead. Underpinned by the conceptual framework of the “affective turn”, this study reflects upon and ad-dresses how the photographer’s chaotic photo-essay of Shanghai’s new state housing (Xincun, New Village, 2008) can function as a nexus of place-making. With a claim to impetuous emotion in his works, Birdhead’s contemporary photography pervades a plane of subjects, objects, and affections, in which the city is imagined and experienced as space-body performativity. Understanding Birdhead’s everyday urban practices as performative, we claim that the visual performance of these photographs not just mate-rially shapes the bodies, but also acts as a rhizomatic catalyst for both things-in-them-selves and webs of social affection inside and outside Shanghai. As a contribution, this article’s theoretical application to Birdhead’s everyday networks of unruly and frenzied emotional tactics challenges the official formulation of realism. More importantly, their contemporary photography apprehends and territorializes elements of anarchy, at the very same time deterritorializing the omnipresent affective strategies of a propagan-distic post-socialist apparatus that pressures the positive over “other” emotional rep-resentations of Shanghai
Comparison Between ECDH And X3DH Protocol
No full textIn this article, it will describe the generation and use of an encryption key named AES, RSA and X3dh. When encrypting or decrypting, their operation processes are similar. That is, they all use a common method and an encryption key. X3dh is simpler, more complicated, and more secure, derived from the invention and application principles of these two keys (AES and RSA). RSA is a new feature that publicly leaks the encryption key without leaking the corresponding decryption key at the same time. For the explanation of the content of this article, many explanations of proper nouns and knowledge are also used; A series of codes derived by me about the knowledge learned by Computer Science, which are generated by the encryption principle, are more clearly explained, and explained the encryption process and operation method of each key. This application uses the x3dh protocol to allow secure conversations between users.x3dh is an end-to-end communication protocol that enables two clients to conduct encrypted conversations, and this process uses the data on the third-party server to sign, so as to verify the communication data between the clients
Spoiler alert: How narrative film captures attention
No full textNarrative transportation is a state of total immersion that arises when one becomes engaged in a story. In Cohen et al. (2015), participants viewed a suspenseful film either with order of scenes intact or scrambled (out of chronological order). Participants had to remember to raise their hand every time they heard a film character say the word “gun.” Results revealed participants were less likely to remember this instruction in the intact condition because their attention shifted away from processing their own goals to the goals of the protagonist. In three studies, we examined the boundary conditions of this effect by including a spoiler by telling participants the film ending (Study 1), having participants view the film individually or in groups (Study 2), and offering a reward incentive (Study 3). Overall, results showed that knowing the ending of the story did not improve performance, however, offering an incentive did boost goal maintenance. Implications of these findings are discussed