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Prediction of new housing prices in Changsha urban area based on multiple machine learning algorithms: A comparative analysis
Get PDFAs China’s pillar industry, the property market has suffered a considerable impact in recent years, with a decline in turnover and many developers at risk of bankruptcy. As one of the most concerned factors for stakeholders, housing prices need to be predicted more objectively and accurately to minimize decision-making errors by developers and consumers. Many prediction models in recent years have been unfriendly to consumers due to technical difficulties, high data demand, and varying factors affecting house prices in different regions. A uniform model across the country cannot capture local differences accurately, so this study compares and analyses the fitting effects of multiple machine learning models using February 2024 new building data in Changsha as an example, aiming to provide consumers with a simple and practical reference for prediction methods. The modeling exploration applies several regression techniques based on machine learning algorithms, such as Stepwise regression, Robust regression, Lasso regression, Ridge regression, Ordinary Least Squares (OLS) regression, Extreme Gradient Boosted regression (XGBoost), and Random Forest (RF) regression. These algorithms are used to construct forecasting models, and the best-performing model is selected by conducting a comparative analysis of the forecasting errors obtained between these models. The research found that machine learning is a practical approach to property price prediction, with least squares regression and Lasso regression providing relatively more convincing results
Cellulosic nanomaterials for adsorption of emerging pollutants
Get PDFContext: At present, nanotechnology can be used in multiple areas of action which, due to its nature, can be implemented with great versatility, given that many advances in nanotechnology base their studies on how to optimize daily and industrial processes and how to favor the environment. In addition, the manipulation of matter at this level allows the creation of solutions with greater scientific, social and economic impact. For the purposes of this research, laboratory results will be shown using cellulosic nanomaterials for the adsorption of emerging antibiotic-type contaminants. Method: This research was carried out at laboratory level, where cellulose was modified by chemical methods to obtain nanocellulose by oxidation. A characterization of the material obtained by spectroscopy techniques was carried out, and the adsorption of emerging anti-biotic contaminants such as ciprofloxacin. Results: Cellulosic nanomaterials have the potential to be used in tertiary water treatment for the removal of emerging contaminants such as ciprofloxacin. The results show that the cellulosic nanomaterial adsorbs ciprofloxacin by 27%. Conclusions: Nanocellulose membranes have potential for use in a water purification system; those made only with cellulose showed a lower percentage of contaminant adsorption than membranes with nanocellulose
Current state of environmental contamination in the Oaxacan Mixtec Region
Get PDFObjective: To present a systematic review of studies that evaluate the impact caused by urban solid waste generated in the Oaxacan Mixtec region. Results: The analysis of the research results consulted in the following databases: Red de Revistas Científicas de América Latina y el Caribe (Redalyc), Scientific Electronic Library Online (Scielo), Dialnet, EBSCO and Consorcio Nacional de Recursos de Información Científica y Tecnológica (CONRICYT), show that pollution is a problem that has been gradually increasing globally, which has led to the presence of foreign organisms and substances that interfere with and damage the health of people, natural resources and the ecological balance; It is worth mentioning that the impact on communities caused by the inadequate generation and management of solid waste significantly alters the ecosystem of the areas surrounding the disposal sites. It is important to note that there is legislation in this area that specifically classifies the different disposal sites and entrusts the municipalities with the integral management of urban solid waste, but this legislation is not correctly applied despite the fact that this problem has become very important in the last two decades in governmental spheres. Conclusions: Mexico faces the challenge of resolving environmental problems in order to reach a level of sustainability and sustainability in the medium term. The generation rates of urban solid waste continue to increase because we live in a society that has drastically modified its consumption habits. The degradation of the environment and natural resources for the Oaxacan Mixtec region is classified in ranges from unstable-critical to critical, causing pressure on natural resources, which is why we must have an adequate management and disposal of municipal solid waste, to achieve this it is necessary to have the support of society, governments and society in general, this synergy is necessary to reduce the extraction of resources used to produce them obtaining economic, social and environmental benefits in the long term for the region
Nature-based solutions for climate change mitigation: A perspective on challenges, potential and limitations
Get PDFThis opinion article delves into the critical role of nature-based solutions (NbS) for climate change mitigation. Despite their recognized potential, the multifaceted challenges of NbS remain complex and under-explored. Both potential and limitations are discussed, including economic, social, and political considerations. The importance of an interdisciplinary approach and adaptation to diverse socioeconomic and cultural contexts to ensure equitable implementation of NbS is highlighted. This brief but critical perspective seeks to enrich the academic view and provide actionable insights for urban planners and policymakers. Finally, it proposes directions for future studies for researchers in the fields of sustainable urban development and climate change mitigation
Modelling-based analytics for urban grand challenges
Get PDFSociety faces grand challenges on a number of dimensions, for example: climate change, pandemics, security and geopolitics, and social exclusion. The future development of towns and cities is key to meeting these. The availability of analytic capabilities provides foundations for developing and evaluating alternative policies and plans. An extensive range of models is available, but they have not been well-focused on these kinds of grand challenges. A significant research task, therefore, is to review the modelling developments needed to provide the necessary analytics base. We consider in turn: the building bricks; the challenge of interdependencies and high dimensionality, using Lowry’s model as a framework; the integration of the elements into a comprehensive model as a basis for grand challenge analytics; and the challenges of implementation
Challenges and way forward in the handling and disposal of battery waste: Towards sustainable practices
Get PDFThe management and disposal of battery waste, particularly lead-acid batteries, present numerous challenges that must be addressed to ensure environmental protection, public health, and sustainable resource management. This thesis examines the multifaceted nature of these challenges and explores potential solutions for sustainable battery management. Drawing on insights from prior research, field observations, stakeholder interviews, and literature reviews, the study synthesizes existing knowledge to inform strategies for mitigating the environmental, safety, and economic impacts associated with battery waste. The current scenario on battery waste management highlights significant challenges, including environmental pollution, health risks, safety hazards, recycling challenges, regulatory compliance issues, technological limitations, infrastructure constraints, and the need for public awareness and education. Countermeasures to address these challenges encompass regulatory interventions, technological innovations, infrastructure development, capacity building, and public engagement initiatives. By integrating findings from diverse sources, this thesis aims to contribute to the existing knowledge base on battery waste management and propel strategies for sustainable resource management
Education for sustainable development in art, science, technology, and the environment: Is there a methodological proposal for school and higher education?
Get PDFThis article aims to examine the relationship between art, science, technology, and the environment to transform the vitality of developing methodological strategies through education for sustainable development. The main goal is to generate a greater importance of a new demand through the selective didactic proposal in different educational systems, both for school education and for higher education. The new methodological foundations for rethinking and reviewing the knowledge of educational research through documentary study and sustainability in the general educational system. This model of sustainable development in education—schooling and higher education—involves actions and activities based on the concept of sustainable development. There is a new search for different modalities and educational subjects for sustainable development. The new methodological orientation in both educational systems makes it possible to create teaching tools that address sustainability, tolerance, and self-care responsibility toward the future of climate change
COVID-19: An update with future urgent priorities and a case study of repurposing drug design
Get PDFSARS-CoV-2 is highly transmissible and pathogenic, with nearly 6.5 million infected people dying worldwide. A severe acute respiratory syndrome is one of the primary COVID-19 outcomes, often related to bacterial co-infections. In addition, infective variants of SARS-CoV-2 have constantly emerged in different countries, causing recurrent waves of infection. These variants increase the chances of vaccine failure, even in countries with accelerated vaccination programs, such as Israel and the USA. In this brief review, the subjects addressed include aspects of the SARS-CoV-2 variants, vaccines, drug therapy, and new alternative therapies. Finally, this review also discussed articles that addressed the repositioning of drugs against the SarsCov2 MPro enzyme using in silico approaches. In addition, we discussed the repositioning of drugs in silico, which can be a valuable strategy to guide and optimize the selection of elective compounds already approved for human use. Bearing in mind that few drugs, such as nirmatrelvir, ritonavir (Paxlovid), molnupiravir, and some monoclonal antibodies, have received authorization throughout the COVID-19 pandemic, according to Food and Drug Administration guidelines
Design and implementation of novel 6G cellular communication architecture using 3D modelling in real environments
Get PDFAcademics and businesses alike are presently fixated on the Sixth Generation (6G) network, which is seen as the telecom industry’s next major game-changer. The 6G architecture has not been finalized and is not yet being used in commercial settings. Research and development for 6G is still in its early stages. Several important features and technologies have surfaced as possible 6G system underpinnings, while development is still in its early phases. To facilitate the next generation of 3D modeling applications, this article suggests a new 6G cellular communication architecture. Aware of 6G’s revolutionary potential, we investigate its fundamental features to build a collaborative, real-time 3D modeling environment with unmatched capabilities. The goal of this project is to design the architecture for the next generation of communications systems. This will incorporate elements from two existing designs: the decoupled RAN design, which improves security and smooth data sorting, and the high-level design, which incorporates numerous protocols inside the antenna for stringent protection. Lastly, we delve into the possible sector-specific disruptions caused by this design and examine its wider implications for the future of 3D modeling. We hope that by introducing this new 6G architecture, we may inspire more study and development towards a day when 6G technology completely changes the game when it comes to 3D modeling
Slot fed circularly polarized magneto-electric dipole antenna array fed by optimized printed microstrip gap waveguide network
Get PDFA compact, circularly polarized 8 × 8 antenna array is designed for the 60 GHz band. The array comprises circularly polarized magneto-electric dipoles (CP-ME-Dipole) excited by narrow slots. The slots are fed by a printed gap waveguide (PGWG) cooperative network optimized based on the termination of the effective impedance of the array elements. Thus, it accounts for the space mutual coupling of the antenna elements. A procedure based on the full-wave analysis of a 4 ´ 4 array is used to estimate each element’s 8 × 8 array effective port impedance. The cooperative feeding network is designed based on the known effective impedances. The array is divided into two half subarrays out of phase from each other, and a rectangular waveguide feeds both sides. The commonly measured bandwidth of 18.3% achieves return loss better than 10 dB and an axial ratio below 3 dB (AR) of less than 3 dB. A maximum gain of 26.2 dBic with a high radiation efficiency of 82% radiation efficiency