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Abstract Radiation damage in biological systems is initiated by free radicals and progresses with time through a variety of mechanisms. The time-scale and details of these mechanisms are briefly reviewed. Because of the variety of mechanisms of radio-biological damage, any single radio-protective or therapeutic agent can be only partially effective. The potential of and need for simultaneously using several radio-protective and therapeutic agents, including sulfhydryl compounds, superoxide dismutase, antioxidant proteins, and DNA repair enzymes, are examined, based on a priori considerations of the consequences of radiation exposure.

Our presently somewhat limited knowledge of the modulation of the content, release and turnover of endorphins in brain and pituitary by acute and chronic drug treatment is reviewed and discussed particularly in relation to the problem of addiction. In vitro studies in striatal slices and isolated anterior and intermediate/posterior lobes of the pituitary point to the existence of specific interactions between endorphins and neurotransmitters. In vivo studies have revealed acute GABA-mediated effects of benzodiazepines upon striatal levels of met-enkephalin activity. Morphine exerts no acute effects upon endorphin levels, but decreases the levels of particular endorphins in specific areas of brain and pituitary after long-term treatment; somewhat similar effects are observed after prolonged intake of ethanol, whereas chronic haloperidol treatment results in an increase in levels of endorphins in brain and pituitary. Incorporation studies employing the intermediate/posterior lobe of the pituitary have revealed that the changes in beta-endorphin levels produced by prolonged treatment with morphine or haloperidol reflect a respective depressed or enhanced synthesis of the beta-endorphin precursor pro-opiocortin, whilst the enzymatic processing of this precursor remains unmodified. Studies in cell-free preparations demonstrated that m-RNA extracted from the intermediate/posterior lobes of chronically morphinized rats possesses a decreased "activity".

Abstract The fungal kingdom represents an extraordinary diversity of organisms with profound impacts across animal, plant, and ecosystem health. Fungi simultaneously support life, by forming beneficial symbioses with plants and producing life-saving medicines, and bring death, by causing devastating diseases in humans, plants, and animals. With climate change, increased antimicrobial resistance, global trade, environmental degradation, and novel viruses altering the impact of fungi on health and disease, developing new approaches is now more crucial than ever to combat the threats posed by fungi and to harness their extraordinary potential for applications in human health, food supply, and environmental remediation. To address this aim, the Canadian Institute for Advanced Research (CIFAR) and the Burroughs Wellcome Fund convened a workshop to unite leading experts on fungal biology from academia and industry to strategize innovative solutions to global challenges and fungal threats. This report provides recommendations to accelerate fungal research and highlights the major research advances and ideas discussed at the meeting pertaining to 5 major topics: (1) Connections between fungi and climate change and ways to avert climate catastrophe; (2) Fungal threats to humans and ways to mitigate them; (3) Fungal threats to agriculture and food security and approaches to ensure a robust global food supply; (4) Fungal threats to animals and approaches to avoid species collapse and extinction; and (5) Opportunities presented by the fungal kingdom, including novel medicines and enzymes.

Context. The simultaneous detection of organic molecules of the form C2HnO, such as ketene (CH2CO), acetaldehyde (CH3CHO), and ethanol (CH3CH2OH), toward early star-forming regions offers hints of a shared chemical history. Several reaction routes have been proposed and experimentally verified under various interstellar conditions to explain the formation pathways involved. Most noticeably, the non-energetic processing of C2H2 ice with OH-radicals and H-atoms was shown to provide formation routes to ketene, acetaldehyde, ethanol, and vinyl alcohol (CH2CHOH) along the H2O formation sequence on grain surfaces in translucent clouds. Aims. In this work, the non-energetic formation scheme is extended with laboratory measurements focusing on the energetic counterpart, induced by cosmic rays penetrating the H2O-rich ice mantle. The focus here is on the H+ radiolysis of interstellar C2H2:H2O ice analogs at 17 K. Methods. Ultra-high vacuum experiments were performed to investigate the 200 keV H+ radiolysis chemistry of predeposited C2H2:H2O ices, both as mixed and layered geometries. Fourier-transform infrared spectroscopy was used to monitor in situ newly formed species as a function of the accumulated energy dose (or H+ fluence). The infrared spectral assignments are further confirmed in isotope labeling experiments using H218O. Results. The energetic processing of C2H2:H2O ice not only results in the formation of (semi-) saturated hydrocarbons (C2H4 and C2H6) and polyynes as well as cumulenes (C4H2 and C4H4), but it also efficiently forms O-bearing COMs, including vinyl alcohol, ketene, acetaldehyde, and ethanol, for which the reaction cross-section and product composition are derived. A clear composition transition of the product, from H-poor to H-rich species, is observed as a function of the accumulated energy dose. Furthermore, the astronomical relevance of the resulting reaction network is discussed.

Among all its effects, the development of the boundary layer, its separation, and formation of the wake region could lead to higher convective heat transfer over the body, if the flow conditions cause high gradient velocity profiles in the surface vicinities of the field. And also, a low-pressure region in the downstream of the geometry is formed, which increases the pressure drag exerted on it. The influence of the aforementioned issue on the zero energy house design has been tackled by introducing a new flow control mechanism. The so-called flow controlling blades (FCBs) were recently designed and investigated on a smart sustainable house, in order to control the flow field around the house, prevent the separation, and decrease the wake intensity, targeting a lower level of convective heat loss and drag force exerted on the body. The angular orientation of these FCBs was formerly determined for 12 different free wind directions (30° increments), as a look-up table for the main control system of the house. To increase the resolution of the orientations, we make use of a recently successful tool in machine learning called neural networks to estimate the desired orientation of the blades for the wind directions that do not exist in the said look-up table. Consequently, all the sample investigated sub-intervals not originally covered by the CFD data, showing great coincidence with the data driven from the neural network utilized in this study.

AbstractThis study provides a cost-effectiveness analysis of four water-saving irrigation techniques that are widely implemented in China to address the impacts of climate change: sprinkler irrigation, micro-irrigation, low-pressure pipe irrigation and channel lining. The aim is to thoroughly understand the economic feasibility of water-saving irrigation as an approach to coping with climate change. Based on the cost-effectiveness analysis, this study finds that water-saving irrigation is cost-effective in coping with climate change, and has benefits for climate change mitigation and adaptation, and for sustainable economic development. For the cost-effectiveness ratio of mitigation and adaptation, only that of channel lining is negative (for mitigation is −43.02 to −73.41US$/t, for grain yield increase −34.35 to −20.13US$/t, and for water saving −0.020 to −0.012US$/m3). Sprinkler irrigation has the highest incremental cost for mitigation (476.03–691.64US$/t), because when sprinkler irrigation is used, there may be additional energy needs to meet water pressure requirements, which may increase greenhouse gas emissions compared to traditional irrigation. For mitigation, in districts where the pumping head for pressure is lower than the critical energy saving head, sprinkler irrigation should be avoided. Micro-irrigation has the highest incremental cost for adaptation followed by sprinkler irrigation and low-pressure pipe irrigation, but when considering the revenues from improved adaptation, all of the measures assessed are economically feasible. The results suggest that for mitigation and adaptation objectives, micro-irrigation performs best. From an economic perspective, channel lining is recommended. Therefore, a balanced development of channel lining and micro-irrigation according to different geographical conditions is recommended.

Energy system models underpin decisions by energy system planners and operators. Energy system modelling faces a transformation: accounting for changing meteorological conditions imposed by climate change. To enable that transformation, a community of practice in energy-climate modelling has started to form that aims to better integrate energy system models with weather and climate models. Here, we evaluate the disconnects between the energy system and climate modelling communities, then lay out a research agenda to bridge those disconnects. In the near-term, we propose interdisciplinary activities for expediting uptake of future climate data in energy system modelling. In the long-term, we propose a transdisciplinary approach to enable development of (1) energy-system-tailored climate datasets for historical and future meteorological conditions and (2) energy system models that can effectively leverage those datasets. This agenda increases the odds of meeting ambitious climate mitigation goals by systematically capturing and mitigating climate risk in energy sector decision making. MTC, JW and LPS contributed equally to this manuscript. 25 pages, 2 figures. Fixed typos in manuscript title. This perspective is based on the discussion held at the 2021 Next Generations Challenges in Energy-Climate Modelling (NextGenEC'21) workshop

Potato plants (Solanum tuberosum L., cv. Désirée) were transformed with the polyphosphate kinase gene from Escherichia coli fused to the leader sequence of the ferredoxin oxidoreductase gene (FNR) from Spinacea oleracea under the control of the leaf specific St-LS1 promoter to introduce a novel phosphate pool in the chloroplasts of green tissues. Transgenic plants (cpPPK) in tissue culture developed necrotic lesions in older leaves and showed earlier leaf senescence while greenhouse plants showed no noticeable phenotype. Leaves of cpPPK plants contained less starch but higher concentrations of soluble sugars. The presence of polyphosphate in cpPPK leaves was demonstrated by toluidine blue staining and unambiguously verified and quantified by in vitro 31P-NMR of extracts. Polyphosphate accumulated during leaf development from 0.06 in juvenile leaves to 0.83 mg P g-1 DW in old leaves and had an average chain length of 18 residues in mature leaves. In situ 31P-NMR on small leaf pieces perfused with well-oxygenated medium showed only 0.036 mg P g-1 DW polyphosphate that was, however, greatly increased upon treatment with 50 mM ammonium sulfate at pH 7.3. This phenomenon along with a yield of 0.47 mg P g-1 DW polyphosphate from an extract of the same leaf material suggests that 93% of the polyphosphate pool is immobile. This conclusion is substantiated by the observation that no differences in polyphosphate pool sizes could be discerned between darkened and illuminated leaves, leaves treated with methylviologen or anaerobis and control leaves, treatments causing a change in the pool of ATP available for polyPi synthesis. Results are discussed in the context of the chelating properties of polyphosphates for cations and its consequences for the partitioning of photoassimilate between starch and soluble sugars.