NRF Thuthuka Project: Microplastics Removal from Wastewater using Machine Learning Optimization (TTK240430216739) -н Rishen Roopchund (22680212)

“…Such interdisciplinary (artificial intelligence-enabled prediction and optimization, chemical engineering, chemistry, and environmental science) measures can enhance microplastics removal efficiency and mitigate environmental harm, consequently enabling sustainable technologies to address microplastics pollution in wastewater. …”

Macroalgae as an eco-friendly and successful green technology for the removal of crystal violet from synthetic and real wastewater -н Shazia Bibi (16500318)

“…<p dir="ltr">Crystal violet (CV) is one of the water pollutants that can cause potential harm to living beings and the environment. Different methods are applied for the removal of CV from wastewater; however, a cheap and environmentally friendly way is preferred. …”

Data_Sheet_1_Screening and characteristics of ammonia nitrogen removal bacteria under alkaline environments.docx -н Rui Zhang (13940)

“…However, there is still a lack of AN removal bacteria that are appropriate for saline-alkali aquaculture conditions. …”

Data_Sheet_1_Species-Resolved Metagenomics of Kindergarten Microbiomes Reveal Microbial Admixture Within Sites and Potential Microbial Hazards.docx -н TzeHau Lam (12300908)

“…Notably, bacterial species with potential human health concerns and potentially antibiotic-resistant, although found across all sampled locations, were predominantly enriched on children’s hands instead of on the environmental sites. This first species-resolved kindergarten microbiome survey underscores the importance of good hand hygiene practices in kindergartens and provides insights into better managing hygiene levels and minimizing spread of harmful microbes in susceptible indoor environments.…”

Chlorella-Based Biohybrid Microrobot for Removing Both Nutrient and Microalgae toward Efficient Water Eutrophication Treatment -н Baichuan Li (16429260)

“…<i><i>aeruginosa</i></i>) were selected as representative nutrients and harmful microalgae, respectively, to investigate the efficient removal effect of the microrobots on the two. …”

Chlorella-Based Biohybrid Microrobot for Removing Both Nutrient and Microalgae toward Efficient Water Eutrophication Treatment -н Baichuan Li (16429260)

“…<i><i>aeruginosa</i></i>) were selected as representative nutrients and harmful microalgae, respectively, to investigate the efficient removal effect of the microrobots on the two. …”

Chlorella-Based Biohybrid Microrobot for Removing Both Nutrient and Microalgae toward Efficient Water Eutrophication Treatment -н Baichuan Li (16429260)

“…<i><i>aeruginosa</i></i>) were selected as representative nutrients and harmful microalgae, respectively, to investigate the efficient removal effect of the microrobots on the two. …”

Covalent Organic Framework Membrane for Efficient Removal of Emerging Trace Organic Contaminants from Water Environment -н Gen Zhang (17116806)

“…Emerging trace organic contaminants (TrOCs) are harmful pollutants that accumulate over time and pose serious potential hazards to human health and the ecosystem. …”

Offense-related correlates of self-harm during most recent incarceration. -н Hygiea Casiano (2189752)

Suicide-related correlates of self-harm during most recent incarceration. -н Hygiea Casiano (2189752)

Reasons and patterns of self-harm patients. -н Willie Njoroge (20623714)

Нөхцлүүд:

Self-harm patients’ spiritual history. -н Willie Njoroge (20623714)

Нөхцлүүд:

Data_Sheet_1_Neutrophils, Crucial, or Harmful Immune Cells Involved in Coronavirus Infection: A Bioinformatics Study.docx -н Nima Hemmat (8951627)

Medications involved in medication-related incidents. -н Philippa Rees (3662989)

Development of immune factors over visits in the AAF and AAF-syn treatment group as (A) scores and (B) loadings. -н Diana M. Hendrickx (1507435)

Results of comparing visits within allergy groups using linear mixed models and post hoc analysis. -н Diana M. Hendrickx (1507435)

Results of comparing allergy groups within visits using linear mixed models and post hoc analysis. -н Diana M. Hendrickx (1507435)

Development of immune factors over visits in the AAF-syn treatment group as (A) scores and (B) loadings when using the AAF treatment group as a reference. -н Diana M. Hendrickx (1507435)

Results of comparing treatment groups within visits using linear mixed models and post hoc analysis. -н Diana M. Hendrickx (1507435)

Proteins with at least one significant difference (adjusted p-value ≤ 0.05) between visits within allergy groups as determined by linear mixed models and post hoc analysis. -н Diana M. Hendrickx (1507435)