Evaluating the Teaching Effectiveness of Business English Courses in Colleges and Universities Based on the DPSIR Model DOI Creative Commons
Ying Wang

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract This paper takes the drive and pressure of teachers students in process English teaching as basis evaluation, focuses on state two influence well feedback teaching, constructs a framework for evaluating effectiveness business based model “Drive, Pressure, State, Influence, Response”. After rounds expert consultation, number evaluation indicators was reduced from 34 to 21. Finally, index system constructed by combining weight calculation hierarchical analysis method. The data show that A3 (state factors) > A1 (driving force A5 (response A2 (pressure A4 (influence factors), comprehensive score courses colleges universities is 3.5944, which indicates grade university located range between medium good. study aims promote digital innovation reform their effects.

Language: Английский

Synthesis and application of gadolinium-doped ZnO/silica mesoporous nanocomposite for methylene blue removal DOI

Faezeh Mahdavi,

S. Yousef Ebrahimipour,

SeyedMohammad Hosseini

et al.

Journal of Molecular Structure, Journal Year: 2024, Volume and Issue: 1318, P. 139175 - 139175

Published: June 29, 2024

Language: Английский

Citations

5
Nature in the Crossfire: Unveiling Environmental Destruction in Warfare Through Generative AI-Assisted Assessment DOI
Holger Jänes, Boris Faybishenko, Radosław J. Barczak

et al.

Published: April 3, 2025

Abstract Warfare inflicts profound ecological damage that undermines global sustainability, yet the environmental costs of conflict remain critically under-assessed due to fragmented and impractical evaluation frameworks. This study presents a novel AI-powered assessment model integrates Driver-Pressure-State-Impact-Response (DPSIR) framework with generative AI, satellite data, expert validation systematically quantify impacts in zones. The enables scalable, real-time evaluations both immediate effects—such as deforestation chemical spills—and latent risks like groundwater contamination, even hazardous or inaccessible areas. By providing scientifically rigorous actionable insights, this empowers policymakers prioritize restoration, strengthen accountability, integrate nature-based recovery strategies into post-conflict rebuilding. Positioned at nexus science, artificial intelligence, international governance, work advances transformative approach address conflict-driven degradation, aligning efforts sustainability goals fostering resilient, equitable future.

Language: Английский

Citations

0
Bioremediation strategies for vadose zone contaminant cleanup DOI
Hardik Giri Gosai, Simit Raval

Elsevier eBooks, Journal Year: 2025, Volume and Issue: unknown, P. 83 - 96

Published: Jan. 1, 2025

Citations

0
Novel 2D/3D BiOBr/TiO2 S-scheme heterostructures photocatalyst fabrication for remarkable ciprofloxacin degradation under solar light DOI

Mohd. Shkir,

Atif Mossad Ali

FlatChem, Journal Year: 2025, Volume and Issue: unknown, P. 100891 - 100891

Published: May 1, 2025

Language: Английский

Citations

0
Purification of textile waste by extracting harmful contaminants using a bio-porous sorbent derived from Moroccan Pistacia Lentiscus DOI Creative Commons
Az-iddin Chham,

Boujemaa Soubai,

Badr Gourmah

et al.

Desalination and Water Treatment, Journal Year: 2024, Volume and Issue: 319, P. 100560 - 100560

Published: June 19, 2024

The increasing problem of water contamination worldwide highlights the critical need to introduce environmentally-friendly treatment approaches. This study focuses on use powdered Pistacia Lentiscus leaves as a highly effective adsorbent for removing crystal violet dye from textile waste. bio-adsorbent were examined using SEM/EDX, FT-IR techniques. process optimization showed that 98.25% cristal could be eliminated in 60 minutes at pH 7.1 30 mg 80 µm biosorbent. Analysis kinetic and isothermal data removal by L@PL powders revealed better fit with pseudo-second-order (PSO) model Freundlich isotherm model, respectively. exhibited strong fit, highlighting maximum monolayer adsorption capacity 93.03 g-1 25 °C. Thermodynamic studies uptake was mainly affected physisorption characteristics spontaneity endothermic behavior. Electrostatic interactions, π-π interactions hydrogen bonds are among mechanisms responsible biomass leaves. naturals resources bio-adsorbent, recognized their abundance cost-effectiveness, environmentally friendly material cationic dyes current study.

Language: Английский

Citations

1
Barium-doped ZnO nanorods fabricated via Piper nigrum leaf extract: a green route for enhanced photocatalytic efficiency DOI

Malik Ihsanullah Khan,

Shoaib Siddique,

Mohammad K. A. Khan

et al.

Reaction Kinetics Mechanisms and Catalysis, Journal Year: 2024, Volume and Issue: unknown

Published: Oct. 24, 2024

Language: Английский

Citations

1
Evaluating the Teaching Effectiveness of Business English Courses in Colleges and Universities Based on the DPSIR Model DOI Creative Commons
Ying Wang

Applied Mathematics and Nonlinear Sciences, Journal Year: 2024, Volume and Issue: 9(1)

Published: Jan. 1, 2024

Abstract This paper takes the drive and pressure of teachers students in process English teaching as basis evaluation, focuses on state two influence well feedback teaching, constructs a framework for evaluating effectiveness business based model “Drive, Pressure, State, Influence, Response”. After rounds expert consultation, number evaluation indicators was reduced from 34 to 21. Finally, index system constructed by combining weight calculation hierarchical analysis method. The data show that A3 (state factors) > A1 (driving force A5 (response A2 (pressure A4 (influence factors), comprehensive score courses colleges universities is 3.5944, which indicates grade university located range between medium good. study aims promote digital innovation reform their effects.

Language: Английский

Citations

0