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Adsorption in combination with ozonation for the treatment of textile waste water： a critical review

Frontiers of Environmental Science & Engineering 2017年第1期11卷 17-34页

作者： Shraddha Khamparia dipika kaur jaspal Symbiosis Centre for Research and Innovation Symbiosis International University Lavale. Pune-412115 India Symbiosis Institute of Technology A Constituent of Symbiosis International University Lavale Pune-412115 India

Intrusion of synthetic textile dyes in the ecosystem has been recognized as a serious issue worldwide. The effluents generated from textiles contain large amount of recalcitrant unfixed dyes which are regarded as emerging contaminants in the field of waste water study. Removal of various toxic dyes often includes diverse and complex set of physico-chemical, biological and advanced oxidation processes adopted for treatment. Adsorption in itself is a well-known technique utilized for treatment of textile effluents using a variety of adsorbents. In addition, ozonation deals with effective removal of dyes using high oxidising power of ozone. The review summarizes dye removal study by a combination of ozonation and adsorption methods. Also, to acquire an effective interpretation of this combined approach of treating wastewater, a thorough study has been made which is deliberated here. Results assert that, with the combined ability of ozone and a catalyst/adsorbent, there is high possibility of total elimination of dyes from waste water. Several synthetically prepared materials have been used along with few natural materials during the combined treatment. However, considering practical applicability, some areas were identified during the study where work needs to be done for effective implementation of the combined treatment.

关键词： Adsorption Ozonation Catalytic Ozonation Textile dyes Mineralization

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Framework for Personalized Chronic Pain Management:Harnessing AI and Personality Insights for Effective Care

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Journal of Artificial Intelligence and Technology 2024年第2期4卷 132-144页

作者： Akshi Kumar Rahul Seewal dipika Jain Ravleen kaur Department of Computing Goldsmiths University of LondonLondonUK Chelsea and Westminster Hospital and East Kent Hospital NHS Find Trust UK MyPain■ UK Department of Computer Science&Engineering Delhi Technological UniversityNew DelhiIndia Department of Computer Science&Engineering Netaji Subhas University of TechnologyNew DelhiIndia

This paper introduces a cutting-edge framework for personalized chronic pain management,leveraging the power of artificial intelligence(AI)and personality *** explores the intricate relationship between personality traits and pain perception,expression,and management,identifying key correlations that influence an individual’s experience of *** integrating personality psychology with AI-driven personality assessment,this framework offers a novel approach to tailoring chronic pain management strategies for each patient’s unique personality *** highlights the relevance of well-established personality theories such as the Big Five and the Myers-Briggs Type Indicator(MBTI)in shaping personalized pain management ***,the paper introduces multimodal AI-driven personality assessment,emphasizing the ethical considerations and data collection processes necessary for its *** illustrative case studies,the paper exemplifies how this framework can lead to more effective and patient-centered pain relief,ultimately enhancing overall *** conclusion,the paper positions the need of an“AI-Powered Holistic Pain Management Initiative”which has the potential to transform chronic pain management by providing personalized,data-driven solutions and create a multifaceted research impact influencing clinical practice,patient outcomes,healthcare policy,and the broader scientific community’s understanding of personalized medicine and AI-driven interventions.

关键词： artificial intelligence health informatics pain personality traits

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The modified magnetodielectric response in KNN-CZFMO based particulate multiferroic composite system

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Journal of Advanced Dielectrics 2020年第5期10卷 58-68页

作者： Kulwinder kaur Mandeep Singh jaspal Singh Sanjeev Kumar Department of Physics Punjabi UniversityPatiala 147002India Applied Sciences Department Punjab Engineering College(Deemed to be University)Chandigarh 160012India

Lead-free multiferroic composites of 1−x(K_(0.5)Na_(0.5)NbO_(3−x))(Co_(0.6)Zn_(0.4))(Fe_(1.7)Mn_(0.3))O_(4)(KNN-CZFMO),where x=0.0,0.1,0.2,0.3,0.4,0.5 and 1.0,have been investigated for their structural,morphological,electrical,magnetic,dielectric and magneto-dielectric *** of KNN and CZFMO crystal structure in each composite has been confirmed from X-ray diffrac-tion analysis(XRD).Cuboidal-shaped grains of KNN and spherical-shaped grains of CZFMO have been observed by scanning electron microscopy(SEM).The room temperature ferroelectric behavior as confirmed by polarization versus electric field(P-E)hysteresis loops has been found to be decreasing with increasing CZFMO *** magnetic ordering with the increase in CZFMO concentration in the prepared composites has been observed by magnetization versus magnetic field(M-H)hysteresis *** electrical conductivity of composites has been studied using Jonscher’s universal power *** room temperature dielectric constant(ε′)and dielectric loss(tanδ)have been observed to decrease with the increase in the frequency of the applied external electric *** dielectric relaxation behavior has been observed using curve fitting analysis via the Havriliak-Negami relaxation *** value of the magnetodielectric(MD)effect~−11%at a frequency of 1 kHz with the applied magnetic field of 1 T has been achieved for 0.9 KNN−0.1 CZFMO(x=0.1)composite in the present research work.

关键词： Multiferroics composites magnetodielectric effect

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