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Climate models predict extended periods with sea-ice free Arctic waters during the next decade, which will allow more shipping activity and easier access to petroleum resources. Increased industrial activities raise concerns about the biological effects of accidental petroleum release on key species of the Arctic marine ecosystem, such as the polar cod (Boreogadus saida). This study examines effects on physiological traits related to the fitness of adult polar cod, such as growth, survival, and lipid parameters. Fish were exposed to environmentally-relevant crude oil doses through their diet over an 8-month period, concurrent with reproductive development. In liver tissue, lipid class composition differed between treatments while in gonad tissue, lipid class composition varied between sexes, but not treatments. Crude oil did not affect growth and survival, which indicated that polar cod were relatively robust to dietary crude oil exposure at doses tested (0.11-1.14 μg crude oil/g fish/day) in this study.

Clinical documentation - the process to charting set forth by medical professional bodies - and its quality differ in minor yet critical ways from electronic medical record (EMR) data quality. Poor quality EMR data has significant downstream effects on the computational functions of EMRs, and evidence suggests that when patients' EMR charts have higher quality data quality of care metrics also improve. While clinicians are instructed on how to ensure quality in their clinical documentation, clinicians have not been routinely instructed in data discipline, which is the documentation process to ensure high quality EMR data. Medical training bodies are increasingly requiring new data discipline physician competencies for the EMR era, but what exactly to instruct and how to instill these competencies has remained unclear. That is, to date there has been a limited understanding as to what the learning objectives, content and teaching method for a session on ensuring high quality EMR data should be.

Clinical documentation - the process to charting set forth by medical professional bodies - and its quality differ in minor yet critical ways from electronic medical record (EMR) data quality. Poor quality EMR data has significant downstream effects on the computational functions of EMRs, and evidence suggests that when patients' EMR charts have higher quality data quality of care metrics also improve. While clinicians are instructed on how to ensure quality in their clinical documentation, clinicians have not been routinely instructed in data discipline, which is the documentation process to ensure high quality EMR data. Medical training bodies are increasingly requiring new data discipline physician competencies for the EMR era, but what exactly to instruct and how to instill these competencies has remained unclear. That is, to date there has been a limited understanding as to what the learning objectives, content and teaching method for a session on ensuring high quality EMR data should be.

Low vision rehabilitation improves quality-of-life for visually impaired patients, but referral rates fall short of national guidelines. Automatically identifying, from electronic health records (EHR), patients with poor visual prognosis could allow targeted referrals to low vision services. The purpose of this study was to build and evaluate deep learning models that integrate EHR data that is both structured and free-text to predict visual prognosis.

We identified 5547 patients with low vision (defined as best documented visual acuity (VA)less than20/40) on≥1 encounter from EHR from 2009 to 2018, with≥1year of follow-up from the earliest date of low vision, who did not improve togreater than20/40 over 1year. Ophthalmology notes on or prior to the index date were extracted. Structured data available from the EHR included demographics, billing and procedure codes, medications, and exam findings including VA, intraocular pressure, corneal thickness, and refraction. To predict whether low vision patients woe than representing free-text using extracted named entities. The incorporation of domain-specific embeddings improved the performance over structured models, suggesting that domain-specific text representations may be especially important to the performance of predictive models in highly subspecialized fields such as ophthalmology.The effects of thermal processing (TP) and flat sweep frequency and pulsed ultrasound (FSFPU) treatment with different frequency modes on the activity, conformation and physicochemical properties of mushroom polyphenol oxidase (PPO) were investigated. The results showed that the relative enzymatic activity of PPO gradually decreased with increasing temperature and duration, and thermosonication decreased the PPO activity to a greater extent compared with thermal processing. FSFPU treatment with dual-frequency of 22/40 kHz mode showed the most significant effect. Circular dichroism (CD) showed that the content of α-helix and β-turn dropped, while that of β-sheet and random coil raised after FSFPU treatment. The intensity of endogenous fluorescence decreased, indicating that PPO protein unfolded and the tertiary structure was destroyed. The amount of free sulfhydryl, protein aggregation index, and turbidity all rose. Moreover, FSFPU treatment led to the aggregation of protein from the analysis of atomic force microscope (AFM). Conclusively, FSFPU can be used as an effective method to inhibit the activity of endogenous enzymes in food.Levels of booster biocides (Irgarol, diuron, chlorothalonil, dichlofluanid and DCOIT), organotins (TBT, DBT, MBT, TPhT, DPhT and MPhT) and antifouling paint particles (APPs) were assessed in sediments of sites under the influence of maritime activities along the coastal zone of the Yucatán Peninsula, Mexico. Imposex incidence and organotin levels were also evaluated in seven caenogastropod species. The incidence of imposex was detected in five species from sites nearby fishing harbors and marinas, including the first reports to Gemophos tinctus and Melongena bispinosa. Butyltins levels were higher than phenyltins in gastropod tissues, sediments, and APPs. Regarding booster biocides, chlorothalonil was the most frequently detected compound and DCOIT was the most abundant biocide in sediments. DCOIT levels were registered in APPs from fishing harbors and marina areas. In addition, the highest levels of TBT, Irgarol, diuron and DCOIT exceeded the threshold limits set by international sediment quality guidelines, indicating that toxic effects could be expected in some of the studied areas, thus being a potential threat to marine life. Based on such outputs, Mexico urgently needs to adopt restrictive actions aiming at conserving the rich biological heritage of the Yucatán Peninsula.Feeding habitat and carbon source play critical roles in certain the trophic transfer and bioaccumulation ability of chemicals in aquatic ecosystems. However, it remains largely unknown how these factors affect the trophic magnification factors (TMFs) of antibiotics in lake ecosystem. This study compared the differences of TMFs for Quinolones (QNs) antibiotics and carbon/nitrogen sources between pelagic foodweb (PFW, 11 species) and benthic foodweb (BFW, 14 species) in Baiyangdian Lake, Northern China. δ13C showed higher values in BFW, while δ15N appeared higher values in PFW. The mean percentage of pelagic nitrogen source (PNS) was higher than benthic nitrogen source (BNS), while the mean percentages of pelagic carbon source (PCS) and benthic carbon source (BCS) were approximately equal. Relatively high concentrations of enrofloxacin (ENR), flumequine (FLU), norfloxacin (NOR), and ofloxacin (OFL) were detected, and the total concentrations of QNs were 27.73-126.4 ng/g dw in PFW, while 23.49-121.3 ng/g dw in BFW. ENR and NOR appeared trophic magnification, while FLU and OFL exhibited trophic dilution. The TMFs of these QNs in PFW were significantly higher than in BFW. The concentration of QNs in biological samples were significantly positive correlation with δ15N, while negative correlated with δ13C. The TMFs for FLU and OFL were positively correlated with PCS/PNS, while negatively correlated with BCS/BNS. The opposite was true for NOR and ENR. CAPSULE ABSTRACT First studied the differences of TMFs for typical QNs and carbon/nitrogen sources between PFW and BFW in a shallow lake.In recent years, the proportion of organic and inorganic contaminants has increased rapidly due to growing human interference and represents a threat to ecosystems. The removal of these toxic pollutants from the environment is a difficult task. Physical, chemical and biological methods are implemented for the degradation of toxic pollutants from the environment. Among existing technologies, bioremediation in combination with nanotechnology is the most promising and cost-effective method for the removal of pollutants. Numerous studies have shown that exceptional characteristics of nanomaterials such as improved catalysis and adsorption properties as well as high reactivity have been subjects of great interest. There is an emerging trend of employing bacterial, fungal and algal cultures and their components, extracts or biomolecules as catalysts for the sustainable production of nanomaterials. They can serve as facilitators in the bioremediation of toxic compounds by immobilizing or inducing the synthesis of remediating microbial enzymes. Understanding the association between microorganisms, contaminants and nanoparticles (NPs) is of crucial importance. In this review, we focus on the removal of toxic pollutants using the cumulative effects of nanoparticles with microbial technology and their applications in different domains. Besides, we discuss how this novel nanobioremediation technique is significant and contributes towards sustainability.Fumigants have been used for decades to control soil-borne pathogens of high-value crops, and increasing evidence indicates they can affect non-target soil microbial communities. Understanding the impacts of these products on soil microorganisms is of critical importance not only for evaluating their environmental safety, but also because soil microbial communities have a central role in soil quality and nutrient cycling, plant growth, and crop production. Thus, we conducted a systematic review and metanalysis study of fumigant impacts on non-target soil microorganisms. In general, we found that fumigation decreases the bacterial diversity and abundance of total bacteria and nitrogen-cycling genes by approximately 10-50% during the first four weeks after application compared to non-treated soils. These decreases appear transient and tend to diminish or disappear after four weeks. Neuronal Signaling antagonist Increases in bacterial diversity and abundance can occur after fumigation but are less common. Fumigant application can also alter bacterial community composition during the first six weeks after treatment by significantly increasing and/or decreasing the relative abundance of bacterial taxa involved in key soil functions such as N-cycling and plant-growth promotion. Knowledge gaps and areas where future research efforts should be prioritized to improve our understanding of the impact of organic fumigants on non-target soil microorganisms are discussed.