Predicting the outcome of renal transplantation

ObjectiveRenal transplantation has dramatically improved the survival rate of hemodialysis patients. However, with a growing proportion of marginal organs and improved immunosuppression, it is necessary to verify that the established allocation system, mostly based on human leukocyte antigen matching, still meets today's needs. The authors turn to machine-learning techniques to predict, from donor-recipient data, the estimated glomerular filtration rate (eGFR) of the recipient 1 year after transplantation.DesignThe patient's eGFR was predicted using donor-recipient characteristics available at the time of transplantation. Donors' data were obtained from Eurotransplant's database, while recipients' details were retrieved from Charite Campus Virchow-Klinikum's database. A total of 707 renal transplantations from cadaveric donors were included.MeasurementsTwo separate datasets were created, taking features with <10% missing values for one and <50% missing values for the other. Four established regressors were run on both datasets, with and without feature selection.ResultsThe authors obtained a Pearson correlation coefficient between predicted and real eGFR (COR) of 0.48. The best model for the dataset was a Gaussian support vector machine with recursive feature elimination on the more inclusive dataset. All results are available at http://transplant.molgen.mpg.de/.LimitationsFor now, missing values in the data must be predicted and filled in. The performance is not as high as hoped, but the dataset seems to be the main cause.ConclusionsPredicting the outcome is possible with the dataset at hand (COR=0.48). Valuable features include age and creatinine levels of the donor, as well as sex and weight of the recipient

Hunter and Angler Motivations, Preferences, and Barriers to Waterfowl Hunting in the Central United States

Since the mid-1980s, there has been a decrease in individuals participating in waterfowl hunting in the United States. The decline in participation has over-arching consequences for state and federal wildlife agencies in their ability to fund and manage habitat and waterfowl populations. There is a fundamental need to understand why individuals participate in waterfowl hunting and what barriers there are to participating in waterfowl hunting. An online survey was conducted in the summer and fall of 2018 asking waterfowl hunters, anglers, big game hunters, combination users (i.e., hunters that have multiple hunting and fishing permits), and small game hunters about their motivations, barriers toward waterfowl hunting, stated preferences, mentorship, and demographics. Results suggested that all respondents, regardless of the activity they preferred, were strongly motivated by being outside and connecting with nature. In addition, big game hunters were strongly motivated by consumptive motivations, such as eating meat and knowing where their food came from. The most limiting barrier toward waterfowl hunting was land access (i.e., lack of public land and private land access), crowding at hunting locations, and encounters with other hunters. All individuals were likely to increase participation in waterfowl given the scenarios provided but highest ranked scenarios were to hunt an area with a quality hunt or someone to take them hunting. Further, respondents who had never participated in waterfowl hunting were more likely to hunt waterfowl with a mentor who is someone they know (i.e., family, friend, co-worker). The study results provides information on factors associated with hunting participation and future. By understanding multiple attributes of hunters and anglers within the central United States, we gain further insight into participation trends and recreationists needs and expectations, with important implications to the recruitment, retention, and reactivation of hunters and anglers. Copyright (c) 2019 Christopher Chizinsk

Diurnal variation of non-specular meteor trails

We present results of simulated radar observations of meteor trails in an effort to show how non-specular meteor trails are expected to vary as a function of a number of key atmospheric, ionospheric and meteoroid parameters. This paper identifies which geophysical sources effect the variability in non-specular trail radar observations, and provides an approach that uses some of these parameter dependencies to determine meteoroid and atmospheric properties based upon the radar meteor observations. The numerical model used follows meteor evolution from ablation and ionization to head echo plasma generation and through formation of field aligned irregularities (FAI). Our main finding is that non-specular meteor trail duration is highly sensitive to the presence of lower thermospheric winds or electric fields and the background ionospheric electron density. In an effort to make key predictions we present the first results of how the same meteoroid is expected to produce dramatically different meteor trails as a function of location and local time. For example, we show that mid-latitude trail durations are often shorter lasting than equatorial trail observations because of the difference in mid-latitude wind speed and equatorial drift speed. The simulated trails also account for observations showing that equatorial nighttime non-specular meteor trails last significantly longer and are observed more often than daytime trails

Global Variation of Meteor Trail Plasma Turbulence

We present the first global simulations on the occurrence of meteor trail plasma irregularities. These results seek to answer the following questions: when a meteoroid disintegrates in the atmosphere will the resulting trail become plasma turbulent, what are the factors influencing the development of turbulence, and how do they vary on a global scale. Understanding meteor trail plasma turbulence is important because turbulent meteor trails are visible as non-specular trails to coherent radars, and turbulence influences the evolution of specular radar meteor trails, particularly regarding the inference of mesospheric temperatures from trail diffusion rates, and their usage for meteor burst communication. We provide evidence of the significant effect that neutral atmospheric winds and density, and ionospheric plasma density have on the variability of meteor trail evolution and the observation of nonspecular meteor trails, and demonstrate that trails are far less likely to become and remain turbulent in daylight, explaining several observational trends using non-specular and specular meteor trails

Supporting, microporous, elastomeric degradable prostheses to improve the arterialization of autologous vein grafts

Arterial reconstructions with vein grafts fail more frequently than with arterial grafts. One of the causes of graft failure is damage due to overstretching of the graft wall. Overstretching is caused because the vein graft, which has a poorly developed medium, cannot withstand the arterial blood pressures. The aim of this study is to evaluate whether damage due to overstretching can be prevented and a gradual adaptation of the vein graft to the arterial blood pressures can be induced by applying a microporous, elastomeric, degradable prosthesis around the vein graft. Therefore, autologous vein grafts (length 1.0cm) with and without supporting prostheses (composite vein grafts and control vein grafts, respectively) were interposed into both carotid arteries of rabbits. Microporous, elastomeric, biofragmentable polyurethane-based prostheses and microporous, elastomeric, biodegradable prostheses made of poly--caprolactone or a copolymer of -caprolactone and 3.6-dimethyl-1,4-morpholine-2,5-dione with a monomer ratio of 95.5:4.5 were prepared. The grafts were evaluated up to 6 wk after implantation. The control vein grafts showed severe destructive changes such as de-endothelialization, disruption of the media with oedema, degradation of the elastic laminae and infiltration of polymorphonuclear leucocytes into the vein graft wall, leading eventually to a fibrotic wall. In contrast, the composite vein grafts showed a preservation of the smooth muscle cell layers and the elastic laminae with only few polymorphonuclear leucocytes infiltrated into the vein graft wall. Moreover, the wall of the vein graft gradually increased in thickness by the formation of regular circularly oriented cellular layers beneath the original longitudinally oriented smooth muscle cell layers, indicating a gradual adaptation of the vein graft to the arterial conditions. It appeared that the arterialization rate depended on the degradation rate of the supporting prostheses. Microporous prostheses made of a copolymer of -caprolactone and 3,6-dimethyl-1,4-morpholine-2,5-dione with a monomer ratio higher than 95.5:4.5 are recommended to support the vein grafts

Motivations to participate in hunting and angling: a comparison among preferred activities and state of residence

Motivations for hunting and fishing extend beyond harvesting game and include social, psychological, emotional, and physical benefits. We used data from a web-based questionnaire to compare relationships between preferred hunting or fishing activity types, state of residence, and motivations of hunters and anglers across the central United States (U.S.). Exploratory factor analysis yielded four motivation factors: nature, social, food, and challenge. Differences in terms of state were negligible across all motivation factors (η2p \u3c .01), indicating similarity across states. Nature (η2p = .01) and social (η2p \u3c .01) factors were the first and second most important factors across activity types. We observed larger differences among the challenge (η2p = .03), and food (η2p = .15) factors, primarily driven by big game hunters. Big game hunters rated the food motivation factor greater than the other activity types. Overall, our results indicate that there might be a greater universality in these motivation factors among activity types and locations in the U.

Interaction of Tet Repressor with Operator DNA and with Tetracycline Studied by Infrared and Raman Spectroscopy

AbstractTet repressor (TetR) is involved in the most abundant mechanism of tetracycline (Tc) resistance of Gram-negative bacteria. Raman spectra were measured for the class D TetR protein, for an oligodeoxyribonucleotide with sequence corresponding to operator site O1, and for the TetR:oligonucleotide complex. TetR forms a complex with [Ni-Tc]+, which does not bind to operator DNA. Raman and infrared measurements indicate nearly identical conformations of TetR with and without [Ni-Tc]+. Differences between the experimental spectrum of the TetR:operator DNA complex and the computed sum of the component spectra provide direct spectroscopic evidence for changes in DNA backbone torsions and base stacking, rearrangement of protein backbone, and specific contacts between TetR residues and DNA bases. Complex formation is connected with intensity decrease at 1376cm−1 (participation of thymine methyl groups), intensity increase at 1467cm−1 (hydrogen bond formation at guanine N7), decreased intensity ratio I854/I823 (increased hydrophobicity of tyrosine environment), increased intensity at 1363cm−1 (increased hydrophobicity of tryptophan ring environment), differences in the range 670–833cm−1 (changes in B-DNA backbone torsions and base stacking), and decreased intensity of the amide I band (structural rearrangement of TetR backbone consistent with a reduction of the distance between the two binding helices)