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Machine learning approaches to cryptocurrency trading optimization: a comparative analysis of predictive models
No full textCryptocurrency markets are characterized by high volatility and complex patterns, creating both challenges and opportunities for traders and investors. This study introduces a machine learning framework for cryptocurrency trading optimization that leverages advanced analytical techniques to enhance trading decisions. We extracted historical data for 30 cryptocurrencies over a four-year period from Yahoo Finance. After preprocessing, we applied Principal Component Analysis (PCA) and K-means clustering to select representative coins. Four machine learning models (Gradient Boosting, XGBoost, Support Vector Regression, and Long Short-Term Memory networks) were trained to predict cryptocurrency price movements. Model performance was evaluated using multiple metrics, including Mean Absolute Error (MAE), Root Mean Squared Error (RMSE), and R-squared (R2). Gradient Boosting and XGBoost consistently outperformed SVR and LSTM models across all cryptocurrencies, with R2 values of approximately 0.98 for most coins. The framework successfully identified trading signals through both moving average strategies and machine learning predictions, providing actionable insights for cryptocurrency traders. Our analysis demonstrates that ensemble-based models offer superior performance for cryptocurrency price prediction compared to neural network approaches. The integration of advanced visualization tools and trading signal generation creates a comprehensive system for data-driven cryptocurrency trading decisions
Introduction
No full textIn 2016, I attended a screening of the documentary Nobody Told Us Anything, directed by Charles Stewart (2014). The documentary tells the stories of the men and women who participated in the British Nuclear Weapons Tests that took place between 1952 and 1967. Through interviews with veterans and their families, combined with archive footage, the film raises awareness of the physical impacts of the tests and the ethical questions surrounding them
Knowledge production as identity expression: a third-space perspective on sustainable careers
No full textThis conceptual paper advances our understanding of sustainable careers by focusing on the knowledge creation activities of third-space practitioners in higher education. Specifically, we apply and extend the Process Model of Sustainable Careers to examine how different forms of knowledge production in three different institutional and national contexts ? writing for publication, practice-based expertise, and curriculum development ? contribute to career sustainability at the intersection of academic and professional/administrative roles and domains. The critical element of this extension is ?identity expression? in the form of knowledge production, which acts as an integrating mechanism that flows through and connects the original model?s three dimensions of person, context and time. The paper responds directly to the calls for research on conceptualising sustainable careers by showing how varied knowledge production activities enable third-space practitioners to navigate the complexities of career pathways in boundary-spanning roles
Impacts of hydraulic structures on lake water quality deterioration and eutrophication in Malaysia
No full textReservoirs serve many essential purposes, including water resource, flood mitigation, recreation, and hydropower generation. However, these reservoirs created by constructing hydraulic structures across the waterways encounter substantial challenges in water quality. One of the issues is eutrophication, which demands attention in reservoir management. This study employs a two-dimensional (2D) depth-averaged hydrodynamic model, utilising Delft3D, to analyse the spatial distributions and hydro-environmental processes occurring in Putrajaya Lake, Malaysia. The model effectively simulates various scenarios for both dry and wet seasons. Calibration and validation were performed using measured data from 72 points within the lake. The water quality modelling focuses on key parameters (i.e. phosphate, nitrate, and chlorophyll a). The results indicate higher phosphate concentrations during dry seasons, ranging from 0.1 to 0.4 mg∙dm−3, compared to wet seasons, suggesting a higher risk of eutrophication during dry seasons. In assessing lake eutrophication, a modified Lamparelli index was developed and adopted to evaluate the lake’s eutrophication status. The findings indicate that increasing phosphorus concentration to 0.35 mg∙dm−3 at the upstream inflow will likely trigger eutrophication in Putrajaya Lake. We recommend this phosphorus concentration as a critical threshold value at all drainage inlets as the best management practice to prevent eutrophication. A detailed assessment of water quality can be established from this finding as one of the design criteria for any hydraulic structures that could jeopardise water quality, rather than an afterthought. Addressing water quality problems through rehabilitation after they arise can be costly and often irreversible
Squeeveillance: Performing cuteness to normalise surveillance power
No full textCute videos are everywhere online. Many of these videos increasingly come from footage taken by doorbell cameras. Amazon’s Ring, and related connected camera devices, introduce new sociotechnical relations into domestic environments. First, I outline squeeveillance as the affective and performative dimensions of cuteness within surveillance. I explore the Ring surveillant assemblage and why it needs the power of cuteness. Then, I examine squeeveillance as the use of cuteness in the way Ring operates. I use the TV show Ring Nation to discuss the remediation of cute footage from doorbell cameras onto other media, before discussing the ways in which cuteness is performed as a normalisation of surveillance power. The article draws on theories of cuteness in conjunction with surveillance studies of power relations. In presenting squeeveillance as a lens through which to assess the expanding scope of Ring, I offer a discussion of the interconnected role of surveillance in contemporary domestic and media settings and its relation to current forms of power in surveillant assemblages.<br/
Assisting economically marginalized and vulnerable youth and minimizing opportunities for exploitation by adult criminal groups
No full textThis paper examines the exploitation of marginalized children and youth at risk of violent victimization and sexual exploitation by networks of adult criminals. Using the UK as an example, we consider various public inquiries that identified serious failings in UK criminal justice, social care, public health, and educational systems. These reports said that children and youth had been exploited by networks of adult criminals over time. They also described a sense of defeatism and lack of agency among the criminal justice and social service agencies to address the social, criminal, and public health problems associated with this form of child and youth exploitation. We discuss research that illuminates this issue and suggest some avenues for building trust between victims/survivors, community members, criminal justice agencies, and social services
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