Hybrid microalgae-activated sludge system for carbon-efficient wastewater treatment.

Engineered microalgae-bacteria systems can play a key role in the realisation of energy-efficient carbon-neutral wastewater treatment technologies. An attempt was made to develop a hybrid microalgae-activated sludge (HMAS) system coupling carbon capture with domestic wastewater treatment. Photobioreactors internally illuminated with red light-emitting diodes (LEDs), and inoculated with mixed microbial culture, resulted in substantial savings in operational cost. System performance was evaluated at about 600 µmol/m2 s LED irradiance while treating synthetic municipal wastewater in a chemostat for about 2 months, containing about 250 mg/L soluble chemical oxygen demand (SCOD), 90 mg/L NH3-N and 10 mg/L orthophosphate. Carbon dioxide was supplied into the HMAS at 25 mL/min, 25% v/v. SCOD was efficiently removed from the wastewater (up to 70%) and bacterial oxygen requirement of >2 mg/L was met through microalgal photosynthesis. The system demonstrated its potential in achieving carbon-efficient wastewater treatment.

Effectiveness of public policy in reviving the COVID-19 hit economy: Evidences from Kerala, India.

The economic crisis triggered by the COVID-19 urgently required active policy interventions to enhance the revival strategies of the world economy. This paper examines the effectiveness of policy intervention of the State Government of Kerala in India in mitigating the risks caused by the pandemic. The policy effectiveness is evaluated by analyzing the data collected from a sample of 300 beneficiaries with the help of descriptive statistics, ordered probit (OP) model, and semi nonparametric extended OP (SNEOP) model. Our results are assertive with the fact that state policies are effective in reviving the crisis-hit economy as they have primarily helped low-income groups and other marginalized communities. The majority of BPL families, self-help group members, and social security beneficiaries rated government policies as highly or fairly effective. Though the policies are found to be highly effective among those who have suffered income loss, the study does not find sufficient evidence to believe that the government interventions are effective in helping those who have lost their jobs. The level of effectiveness is inversely related to age, education, and family size. Our results suggest that an extensive fiscal package is required to help people recover from the crisis.

Survival of HIV/AIDS patients treated under ART follow-up at the University hospital, northwest Ethiopia.

INTRODUCTION: The survival of HIV/AIDS patients on antiretroviral therapy (ART) is determined by a number of factors, including economic, demographic, behavioral, and institutional factors. Understanding the survival time and its trend is crucial to developing policies that will result in changes. The aim of this study was to compare the survival estimates of different subgroups and look into the predictors of HIV/AIDS patient survival. METHODS: A retrospective cohort study of HIV/AIDS patients receiving ART at the University of Gondar teaching hospital was carried out. To compare the survival of various groups, a Kaplan-Meier survival analysis was performed. The Cox proportional hazards model was used to identify factors influencing HIV/AIDS patient survival rates. RESULTS: In the current study, 5.91% of the 354 HIV/AIDS patients under ART follow-up were uncensored or died. Age (HR = 1.051) and lack of formal education (HR = 5.032) were associated with lower survival rate, whereas family size of one to two (HR = 0.167), three to four (HR = 0.120), no alcoholic consumption (HR = 0.294), no smoking and chat use (HR = 0.101), baseline weight (HR = 0.920), current weight (HR = 0.928), baseline CD4 cell count (HR = 0.990), baseline hemoglobin (HR = 0.800), and no TB diseases were associated with longer survival rate. CONCLUSIONS: Fewer deaths were reported in a study area due to high patient adherence, compared to previous similar studies. Age, educational status, family size, alcohol consumption, tobacco and chat usage, baseline and current weight, baseline CD4 cell count, baseline hemoglobin, and tuberculosis (TB) diseases were all significant predictors of survival of HIV/AIDS patients.