Evaluation and Enhancement of Carbon Sequestration Potential of Existing Vegetation along Roadsides

The objectives of this study were to evaluate the vegetative composition and carbon sequestration potential of vegetation along a major roadway in Texas. Soil and vegetation were evaluated along IH-35 within Bexar County for composition and carbon content. Three 20 m transects were placed at each site and percent vegetative cover was estimated and above ground plant biomass, and soil was collected from three 0.25 m2 subplots along each transect. Plant and soil samples were analyzed for carbon content. Two non-native grasses, bermudagrass and King Ranch bluestem, were the dominant cover at all sites accounting for \u3e 90% coverage at several sites. Native plants were rare with only one species, western ragweed, accounting for \u3e 5% mean coverage at all sites. Carbon content of plant species was highest for bermudagrass (699 kg C ha-1) and King Ranch bluestem (401 kg C ha-1), and 6 of 7 sites contained significantly more carbon in non-native plants compared to native plants. The highest native plant carbon content was western ragweed with an average of 15 kg C ha-1. Mean soil carbon content ranged from 3.1 to 6.9 kg C m3 -1 among the sites, and significantly (P \u3c 0.05) greater amounts of carbon were recorded in the upper 0-10 cm compared to the 10-20 cm. The photosynthesis rates of Bermudagrass were significantly greater than rates recorded for King Ranch bluestem indicating the former species is highly adapted to hot semi-arid climate of central Texas, but King Ranch bluestem may gain a competitive advantage along roadways during the spring, fall and periods of increased precipitation. The total available area for the vegetation along the IH-35 highway in Bexar County is estimated to be approximately 81.7 ha (201.5 acres). We suggest the area between sites 5 and 6 (25.1 ha; 62 acres) are ideal locations for carbon sequestration using native plant communities including those with larger diameter woody stems such as trees

Reviewing Developments of Graph Convolutional Network Techniques for Recommendation Systems

The Recommender system is a vital information service on today's Internet. Recently, graph neural networks have emerged as the leading approach for recommender systems. We try to review recent literature on graph neural network-based recommender systems, covering the background and development of both recommender systems and graph neural networks. Then categorizing recommender systems by their settings and graph neural networks by spectral and spatial models, we explore the motivation behind incorporating graph neural networks into recommender systems. We also analyze challenges and open problems in graph construction, embedding propagation and aggregation, and computation efficiency. This guides us to better explore the future directions and developments in this domain.Comment: arXiv admin note: text overlap with arXiv:2103.08976 by other author

Levofloxacin induced psychosis: a rare case report

Levofloxacin is a commonly prescribed antibiotic for treating bacterial infections in routine clinical practice. A wide range of side-effects have been ascribed to the quinolone group of drugs, the most common being gastrointestinal. Central nervous system is rarely involved; neuropsychiartic complications are among the least reported adverse reactions. We report a rare case of levofloxacin induced acute psychosis in a young male presenting in out-patient department with signs of urinary tract infection along with pneumonitis

Carbon Sequestration of Soil and Plants along IH-35 in Bexar County, Texas

Soil and vegetation were evaluated along IH-35 within Bexar County for carbon content. The objectives of this study were to evaluate the vegetative composition and carbon sequestration potential of vegetation along IH-35. Three 20 m transects were placed at each site and percent vegetative cover was estimated and above ground plant biomass and soil was collected from three 0.25 m2 subplots along each transect. Plant and soil samples were analyzed for carbon content using the loss-on-ignition method. Two non-native grasses, bermudagrass and King Ranch bluestem, were the dominant cover. Bermudagrass was more efficient in absorbing CO2 compared to King Ranch bluestem. The top 10 cm of soil in all samples contained more organic carbon than the lower 10 cm. Collection of field data has been completed and the soil and plant carbon content is being analyzed with the final results presented at the conference

Cultivation and Marketing Knowledge level of Areca nut Farmers in Andaman & Nicobar Islands

Areca nut (Areca catechu L) also known as betel nut or supari is the second most important plantation crop of Andaman and Nicobar Islands (ANI) after coconut It has been observed that wide differences in productivity of areca nut exist among the farmers with in a village due to socio-economic status. A survey based study was conducted to understand the knowledge level of areca nut growers and link to productivity vis-a-vis socio-economic status. For this purpose, 120 areca nut farmers from four villages of Harinagar Panchayat were randomly selected. Data collected were analysed following standard statistical procedures. The results showed that 52.5% of areca nut growers had poor knowledge of cultivation and marketing. The study also revealed that about 45% growers had poor knowledge about selection of suitable site, soil and spacing requirement for plants. The analysis of socio-economic factors with knowledge level of farmers revealed that knowledge of respondents increased with the increase in their education and land holdings whereas it was negatively correlated with age and annual income. Further, the study also suggests that, educating the farmers through mass media, capacity building and demonstration will help them in learning/ adopting new technologies, which in turn help them to increase their productivity level and farming income on sustainable basis

Detection of fumonisin among different strains of Fusarium spp. associated with bakanae disease of rice (Oryza sativa L.) using molecular markers

Bakanae disease caused by Fusarium fujikuroi of basmati rice causes huge economic losses varying with varieties produced, with a frequency of 3.0-95.4%. The Fusarium spp. associated with bakanae disease produce fumonisins, a group of structurally similar sphingosine analogue mycotoxins, among which Fumonisin B1 is the most prevalent and active (FB1). The worst harm to both people and animal wellbeing is created by fumonisins, which infect feed and food sources. IARC, a global organization dedicated to cancer research, classified FB1 as a potential causing human cancer (Group 2B). Altogether 26 strains of Fusarium spp. from bakanae infected  samples of various popular basmati rice varieties collected from Hisar, Jind, Fatehabad, Bhiwani, Sirsa, Panipat, Sonipat, Karnal, Yamunanagar, Kaithal and Kurukshetra (eleven) districts of Haryana state. Two specific primers namely VERTF and polyketide synthase (PKS) (involved in fumonisin biosynthesis) FUM (rp 32 and rp 33) were utilized in this investigation to differentiation between fumonisin-producing and non-producing strains employing PCR technique. Twenty-two strains were significant for the VERTF primer and showed the capacity to generate fumonisin, while four isolates evaluated negative for both primers. The FUM specific primer displayed positive respose only in nine strains and rest were negative. The present study provides a rapid and specific method that helped in accurate differentiation between fumonisin-producing and non-producing strains.

Structural and Functional Interrogation of Selected Biological Nitrogen Removal Systems in the United States, Denmark, and Singapore Using Shotgun Metagenomics

Conventional biological nitrogen removal (BNR), comprised of nitrification and denitrification, is traditionally employed in wastewater treatment plants (WWTPs) to prevent eutrophication in receiving water bodies. More recently, the combination of selective ammonia to nitrite oxidation (nitritation) and autotrophic anaerobic ammonia oxidation (anammox), collectively termed deammonification, has also emerged as a possible energy- and cost-effective BNR alternative. Herein, we analyzed microbial diversity and functional potential within 13 BNR processes in the United States, Denmark, and Singapore operated with varying reactor configuration, design, and operational parameters. Using next-generation sequencing and metagenomics, gene-coding regions were aligned against a custom protein database expanded to include all published aerobic ammonia oxidizing bacteria (AOB), nitrite oxidizing bacteria (NOB), anaerobic ammonia oxidizing bacteria (AMX), and complete ammonia oxidizing bacteria (CMX). Overall contributions of these N-cycle bacteria to the total functional potential of each reactor was determined, as well as that of several organisms associated with denitrification and/or structural integrity of microbial aggregates (biofilm or granules). The potential for these engineered processes to foster a broad spectrum of microbial catabolic, anabolic, and carbon assimilation transformations was elucidated. Seeded sidestream DEMON® deammonification systems and single-stage nitritation-anammox moving bed biofilm reactors (MBBRs) and a mainstream Cleargreen reactor designed to enrich in AOB and AMX showed lower enrichment in AMX functionality than an enriched two-stage nitritation-anammox MBBR system treating mainstream wastewater. Conventional BNR systems in Singapore and the United States had distinct metagenomes, especially relating to AOB. A hydrocyclone process designed to recycle biomass granules for mainstream BNR contained almost identical structural and functional characteristics in the overflow, underflow, and inflow of mixed liquor (ALT) rather than the expected selective enrichment of specific nitrifying or AMX organisms. Inoculum used to seed a sidestream deammonification process unexpectedly contained <10% of total coding regions assigned to AMX. These results suggest the operating conditions of engineered bioprocesses shape the resident microbial structure and function far more than the bioprocess configuration itself. We also highlight the advantage of a systems- and metagenomics-based interrogation of both the microbial structure and potential function therein over targeting of individual populations or specific genes