Development of Sustainable Goals Emissions Reduction Value to Measure Climate Change DOI

J. Bala Murugan,

L. Priya Dharsini,

C. Prabakaran

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 125 - 140

Published: Oct. 4, 2024

The Sustainable Development Goals, or SDGs, goal indicators and the steps taken to slow down climate change have trade-offs synergies. Although some research has evaluated these linkages, nothing is known about how much of an interaction there is. This section illustrates reducing CO2 emissions relates SDGs. They created “marginal SDG-emissions-reduction values (MSVs),” which show a unit decrease in affects certain SDG on marginal basis. measure was utilised may be used for national evaluations. discovered significant correlations between rates emission reduction several objectives. For example, 1% save 0.57% premature deaths linked air pollution (SDG3), whereas same can result 0.026% drop mean species richness (SDG15) (excluding effects change). Our results help evaluate implications objectives will assist informing strategies.

Language: Английский

Cost-benefit Analysis of Large-Scale Recycling of Treated Wastewater for Indirect Groundwater Recharge in a Semi-arid Region DOI
Manjari Manisha,

Kavita Verma,

N. Ramesh

et al.

Groundwater for Sustainable Development, Journal Year: 2024, Volume and Issue: 26, P. 101284 - 101284

Published: July 18, 2024

Language: Английский

Citations

4
Classification of Mental Emotions by NLP DOI

Ravindra Changal,

Arpit Jain, Renu Vij

et al.

IGI Global eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 23 - 36

Published: March 13, 2025

Health, psychology, and human-computer interaction depend on understanding human emotions. Natural Language Processing (NLP) has increased interest in automating text-based mental mood categorization. This abstract describes a complete NLP-based emotion categorization system. A person's emotional state is something they can consciously regulate. Their states are often recognised by them. Think about the consequences if person can't recognise their feelings. It might be condition associated with disease. Identification of symptoms at an early stage first objective. study presents strategy for predicting depressive levels. First, to forecast patient depression, DAIC-WOZ dataset analysed using several Deep Learning models that incorporate text, audio, video information. fusion approach controls how much each modality contributes. Even before diagnosis made, individual may assess health. training system evaluate severity data collected from both text speech.

Language: Английский

Citations

0
Algebraic Recognition Approach in IoT Ecosystem DOI Creative Commons
Anvar Kabulov, Islambek Saymanov,

Akbarjon Babadjanov

et al.

Mathematics, Journal Year: 2024, Volume and Issue: 12(7), P. 1086 - 1086

Published: April 4, 2024

The solution to the problem of identifying objects in IoT ecosystem Aral region is analyzed. constructing a correct algorithm with linear closure operators model for calculating estimates considered. An operator developed, which considered Z, sum q assessment calculation model, and described by set numerical parameters 3·n·m·q, where n number specified features, m reference objects, recognized objects. Within framework algebraic approach, several variants combinations recognition are constructed, use gives answer on control material, this proven form theorems. constructed algorithms, easiest use, there no optimization procedure, make it possible quickly solve issue incoming information flows region.

Language: Английский

Citations

2
Next-generation solutions for water sustainability in nuclear power plants: Innovations and challenges DOI
Ravikumar Jayabal

Nuclear Engineering and Design, Journal Year: 2024, Volume and Issue: 432, P. 113757 - 113757

Published: Dec. 3, 2024

Language: Английский

Citations

2
Phycoremediation: a path towards heavy metal bioremediation from wastewater DOI Creative Commons

Naila Amel Agoun,

Fatma Gizem Avcı

Journal of Chemical Technology & Biotechnology, Journal Year: 2024, Volume and Issue: unknown

Published: Sept. 3, 2024

Abstract Heavy metals (HMs) have emerged as a significant and complex water pollution problem globally. These pollutants are particularly concerning due to their teratogenic, mutagenic, poisonous carcinogenic properties, well non‐biodegradability. Traditional removal techniques often fall short in addressing these issues, leading search for more effective solutions. One promising alternative is the phycoremediation process, which employs microalgae remove HMs from wastewater. This method not only cost‐effective but also environmentally friendly, offering additional benefits of nutrient recovery polluted conversion into value‐added products. review delves capabilities remediating HM‐polluted water, examining various factors methods that affect process. Key improvements can enhance efficiency include immobilizing increase stability longevity, utilizing binary cultures harness synergistic effects implementing cellular genetic modifications boost HM uptake resilience. Moreover, integration algorithms artificial intelligence optimize processes by predicting controlling environmental conditions, enhancing precision effectiveness removal. The combination advanced strategies holds promise overcoming limitations conventional methods, positioning viable solution mitigating contamination bodies. © 2024 Author(s). Journal Chemical Technology Biotechnology published John Wiley & Sons Ltd on behalf Society Industry (SCI).

Language: Английский

Citations

1
Sustainable Climate Change Analysis of Renewable Power DOI

J. Bala Murugan,

L.Priya Dharsini,

C. Prabakaran

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 267 - 284

Published: Oct. 4, 2024

Human well-being is enhanced by energy development, but there are environmental costs as well. While switching from fossil fuels to renewable might slow down global warming, it could also make more difficult accomplish some or all of the 18 Sustainable Development Goals (SDGs). In this research, researcher builds a complete roadmap solar and wind using an innovative systems approach foresee ameliorate implications shift low-carbon future while making sure that SDGs climate objectives mutually reinforcing. The interdisciplinary started with two-day workshop on research prioritisation, which was followed evaluation public funding in energy. Six study issues proactively address responsibility were highlighted fifty-eight expert participants. then determined connections between each 17 six subjects. To evaluate maturation these issues, lastly performed scientiometric

Language: Английский

Citations

0
Analysis of Corporation Trends in Environmental Protection Using VOS Viewer DOI

S. K. Yakoob,

A. Senthil Kumar,

Gunji Sreenivasulu

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 87 - 106

Published: Oct. 4, 2024

Research on environmental protection is the subject of this work, which analyses recent tendencies in collaboration. The examination international cooperation light COVID-19 pandemic's effects led to formation a united system research method interrelationships area bibliometric approach implementation. Utilise specialised software package called VOSViewer provide consistent visualisation data that was analysed. Five distinct areas study were identified: first two deal with and biosafety as they pertain public health; third one explores efforts curb greenhouse gas emissions their impact environment, while fourth brings together many subfields economics are pertinent control management.

Language: Английский

Citations

0
Monitoring of Environmental Analysis in Twitter Dealt With Pollution Probability DOI
D. Rajani,

Gottipati Venkata Rambabu,

Amit Dutt

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 171 - 186

Published: Oct. 4, 2024

The presence of pollutants in locations poses a threat to both human health and the environment, potentially resulting severe pollution disasters public outrage. Hence, effective risk management requires monitoring opinions on hazardous areas. Traditional questionnaire experiments are restricted by constraints related time, financial resources, size target population. Utilising social media channels, current research monitored popular perceptions polluted within urban concentration Yangtze River Delta. Aggregating 6802 feedback from platforms, Use topic modelling, pollution, spatial mining tools. Public views areas tend centre following: methods for prevention control, enforcement laws, advancements coal industry, environmental lawsuits, inspections corrections green development, ecological management, with varying intensities.

Language: Английский

Citations

0
Development of Sustainable Goals Emissions Reduction Value to Measure Climate Change DOI

J. Bala Murugan,

L. Priya Dharsini,

C. Prabakaran

et al.

Practice, progress, and proficiency in sustainability, Journal Year: 2024, Volume and Issue: unknown, P. 125 - 140

Published: Oct. 4, 2024

The Sustainable Development Goals, or SDGs, goal indicators and the steps taken to slow down climate change have trade-offs synergies. Although some research has evaluated these linkages, nothing is known about how much of an interaction there is. This section illustrates reducing CO2 emissions relates SDGs. They created “marginal SDG-emissions-reduction values (MSVs),” which show a unit decrease in affects certain SDG on marginal basis. measure was utilised may be used for national evaluations. discovered significant correlations between rates emission reduction several objectives. For example, 1% save 0.57% premature deaths linked air pollution (SDG3), whereas same can result 0.026% drop mean species richness (SDG15) (excluding effects change). Our results help evaluate implications objectives will assist informing strategies.

Language: Английский

Citations

0