Uptake, Translocation, and Accumulation of Pharmaceutical and Hormone Contaminants in Vegetables

A team led by Wei Zheng, senior research scientist at ISTC, investigated whether our food is at risk of accumulating PPCPs when irrigated with wastewater from concentrated animal feedlot operations (CAFOs) and wastewater treatment plants (WWTPs). The results appeared in Zheng, Wei et al (2014). "Uptake, Translocation, and Accumulation of Pharmaceutical and Hormone Contaminants in Vegetables." in Kyung Myung, Norbert M. Satchivi, and Colleen K. Kingston, eds. Retention, Uptake, and Translocation of Agrochemicals in Plants. Washington, DC : American Chemical Society, 167-181. DOI: 10.1021/bk-2014-1171.ch009.Ope

The rapid rise of next-generation natural history

Many ecologists have lamented the demise of natural history and have attributed this decline to a misguided view that natural history is outdated and unscientific. Although there is a perception that the focus in ecology and conservation have shifted away from descriptive natural history research and training toward hypothetico-deductive research, we argue that natural history has entered a new phase that we call “next-generation natural history.” This renaissance of natural history is characterized by technological and statistical advances that aid in collecting detailed observations systematically over broad spatial and temporal extents. The technological advances that have increased exponentially in the last decade include electronic sensors such as camera-traps and acoustic recorders, aircraft- and satellite-based remote sensing, animal-borne biologgers, genetics and genomics methods, and community science programs. Advances in statistics and computation have aided in analyzing a growing quantity of observations to reveal patterns in nature. These robust next-generation natural history datasets have transformed the anecdotal perception of natural history observations into systematically collected observations that collectively constitute the foundation for hypothetico-deductive research and can be leveraged and applied to conservation and management. These advances are encouraging scientists to conduct and embrace detailed descriptions of nature that remain a critically important component of the scientific endeavor. Finally, these next-generation natural history observations are engaging scientists and non-scientists alike with new documentations of the wonders of nature. Thus, we celebrate next-generation natural history for encouraging people to experience nature directly

Fate and Uptake of Pharmaceuticals in Soil–Plant Systems

Pharmaceuticals have been detected in the soil environment where there is the potential for uptake into crops. This study explored the fate and uptake of pharmaceuticals (carbamazepine, diclofenac, fluoxetine, propranolol, sulfamethazine) and a personal care product (triclosan) in soil–plant systems using radish (Raphanus sativus) and ryegrass (Lolium perenne). Five of the six chemicals were detected in plant tissue. Carbamazepine was taken up to the greatest extent in both the radish (52 μg/g) and ryegrass (33 μg/g), whereas sulfamethazine uptake was below the limit of quantitation (LOQ) (<0.01 μg/g). In the soil, concentrations of diclofenac and sulfamethazine dropped below the LOQ after 7 days. However, all pharmaceuticals were still detectable in the pore water at the end of the experiment. The results demonstrate the ability of plant species to accumulate pharmaceuticals from soils with uptake apparently specific to both plant species and chemical. Results can be partly explained by the hydrophobicity and extent of ionization of each chemical in the soil

Interaction of Structure and Information on Tor

Tor is the most popular dark network in the world. It provides anonymous communications using unique application layer protocols and authorization schemes. Noble uses of Tor, including as a platform for censorship circumvention, free speech, and information dissemination make it an important socio-technical system. Past studies on Tor present exclusive investigation over its information or structure. However, activities in socio-technical systems, including Tor, need to be driven by considering both structure and information. This work attempts to address the present gap in our understanding of Tor by scrutinizing the interaction between structural identity of Tor domains and their type of information. We conduct a micro-level investigation on the neighborhood structure of Tor domains using struc2vec and classify the extracted structural identities by hierarchical clustering. Our findings reveal that the structural identity of Tor services can be categorized into eight distinct groups. One group belongs to only Dream market services where neighborhood structure is almost fully connected and thus, robust against node removal or targeted attack. Domains with different types of services form the other clusters based on if they have links to Dream market or to the domains with low/high out-degree centrality. Results indicate that the structural identity created by linking to services with significant out-degree centrality is the dominant structural identity for Tor services