Spatial and Temporal Distribution of Total Phosphorus Concentration in Soil and Surface Water in the Everglades Protection Area

Draining of the Everglades allowed for the expansion of urban and agricultural development, reducing half of the size of the historic Everglades. The detrimental cascading effect on the Everglades ecosystem function is related to the total phosphorus (TP) concentrations of water inflow, the inflow rate and the distance from the discharge point. As Everglades restoration has approached 15 years since the inception of the Comprehensive Everglades Restoration Plan (CERP), there is a need to assess its progress across the ecosystem. Available data from 2004 to 2014 were collected for soils and from 2004 to 2016 for water to understand a decade of trends. Both Geographic Information System (GIS) and statistical data analysis were applied to determine changes in water quality and soil chemistry. Key findings indicate a declining trend in water TP, with mixed results for soil. Higher TP concentrations (\u3e10 µg/L) were prevalent the areas less than 1 km from a canal or water discharge point for both soil and water. The TP in surface water was higher in the wet season compared to the dry season across the EPA possibly associated with hydrologic, climatic or other factors

Psychological Effects of COVID-19 Pandemic among the General Population of India

Introduction: C0VID-19 outbreak was declared as a pandemic in 2019 by the World Health Organization (WHO) with a global spread and undefined course. COVID-19 has created great fear and panic all over the world creating mental and physical distress. Looking at the adverse effects of the pandemic, we aimed to assess the psychological conditions of the general population residing in various states of India as a result of the nation-wide lockdown and quarantine in COVID-19. Materials & Methods: This study is a descriptive, cross-sectional, anonymous online survey. A self-rated structured questionnaire was made through Google form. Snowball sampling technique was used.  Results: 53.2% of the respondents were men while 46.8% were women. 92.5% resided in urban areas. A comparison between the male and female respondents was made in the various domains and we found that 28.3% of men and 30.2 % of women were affected to a greater extent by the pandemic whereas 24.6% of men were worried about the financial loss. 10.2% of the women reported to feel depressed in the last two weeks while only 7% of the men were irritated. 51.9% and 44.9% of men and women considered it important to take actions for preventing Corona Virus Disease. Conclusion: Stress, anxiety and depression among the general population was found to be moderately present although all the safety guidelines were followed along with the lockdown. The participants had a good level of awareness regarding preventive aspects as well

OFFLOADING HARDWARE TIMESTAMPING TO NETWORK DEVICES TO OPTIMIZE AND SCALE ACTIVE PERFORMANCE MONITORING

Techniques described herein provide for an end-to-end delay measurement between two network endpoints that leverages hardware timestamping close to the endpoints while offloading probe agents to external devices. Techniques described herein do not consume the network device control plane CPU cycles, avoid associated security risks resulting from control CPU cycle consumption, and give accurate measurement of the delay between endpoints. The techniques described herein help network administrators and network visibility tools to make more accurate network policy-based decisions

Non-response problem in health surveys

The impact of non-participation in surveys depends on how many people don't respond and the extent to which those who don't differ from those who do on key questions. In health research, non-participation can skew results, affecting our understanding of disease and healthcare needs. Understanding why people don't respond to surveys is crucial for accurately gauging health issues. Despite the popularity of surveys in health research, the problem of non-response bias persists due to low response rates. This paper explores various methods, their strengths, and weaknesses, to address non-response issues in health surveys