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Evaluation of the result of articular facet reduction and intraoperative distraction for sanders type iv calcaneal fracture n polytraumatized patients.
Pol Merkur Lekarski
December 2024
ASTANA MEDICAL UNIVERSITY, ASTANA, REPUBLIC OF KAZAKHSTAN.
Objective: Aim: The aim of this study is to evaluate the results of combined repositioning - open repositioning of the depressed articular facet combined with intraoperative two-vector distraction of the calcaneus with a new external fixation distraction apparatus and osteosynthesis with a calcaneal plate with angular stability of a Sanders IV type fracture..
Patients And Methods: Materials and Methods: This study evaluates the results of sequential two-vector distraction with a repositioning apparatus for open reduction and internal fixation (ORIF) of a Sanders IV calcaneal fracture.
Interpretable machine learning decodes soil microbiome's response to drought stress.
Environ Microbiome
May 2024
Computomics GmbH, Eisenbahnstraße 1, 72072, Tübingen, Baden-Württemberg, Germany.
Background: Extreme weather events induced by climate change, particularly droughts, have detrimental consequences for crop yields and food security. Concurrently, these conditions provoke substantial changes in the soil bacterial microbiota and affect plant health. Early recognition of soil affected by drought enables farmers to implement appropriate agricultural management practices.
View Article and Find Full Text PDFlearnMET: an R package to apply machine learning methods for genomic prediction using multi-environment trial data.
G3 (Bethesda)
November 2022
Division of Plant Breeding Methodology, Department of Crop Sciences, University of Goettingen, 37075 Goettingen, Germany.
We introduce the R-package learnMET, developed as a flexible framework to enable a collection of analyses on multi-environment trial breeding data with machine learning-based models. learnMET allows the combination of genomic information with environmental data such as climate and/or soil characteristics. Notably, the package offers the possibility of incorporating weather data from field weather stations, or to retrieve global meteorological datasets from a NASA database.
View Article and Find Full Text PDF[CLINICAL AND STATISTICAL ANALYSIS OF POSTERIOR FOOT INJURIES].
Georgian Med News
February 2022
Odessa National Medical University, Ukraine.
A clinical and statistical study of the frequency, structure and circumstances of posterior foot injury was carried out in 1047 patients admitted to the clinic in the period from 2007 to 2020. Age and gender groups have been identified, in which most often injuries leading to hospitalization occurred as a result of a fall with low kinetic energy at home or on the street, due to negligence, illegal actions and road accidents. The majority of patients were hospitalized urgently after injury, among which fractures of the calcaneus prevailed (84.
View Article and Find Full Text PDFPrediction of Maize Phenotypic Traits With Genomic and Environmental Predictors Using Gradient Boosting Frameworks.
Front Plant Sci
November 2021
Division of Plant Breeding Methodology, Department of Crop Sciences, University of Goettingen, Goettingen, Germany.
The development of crop varieties with stable performance in future environmental conditions represents a critical challenge in the context of climate change. Environmental data collected at the field level, such as soil and climatic information, can be relevant to improve predictive ability in genomic prediction models by describing more precisely genotype-by-environment interactions, which represent a key component of the phenotypic response for complex crop agronomic traits. Modern predictive modeling approaches can efficiently handle various data types and are able to capture complex nonlinear relationships in large datasets.
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