Lipidomics Provides New Insight into Pathogenesis and Therapeutic Targets of the Ischemia-Reperfusion Injury

Lipids play an essential role in both tissue protection and damage. Tissue ischemia creates anaerobic conditions in which enzyme inactivation occurs, and reperfusion can initiate oxidative stress that leads to harmful changes in membrane lipids, the formation of aldehydes, and chain damage until cell death. The critical event in such a series of harmful events in the cell is the unwanted accumulation of fatty acids that leads to lipotoxicity. Lipid analysis provides additional insight into the pathogenesis of ischemia/reperfusion (I/R) disorders and reveals new targets for drug action. The profile of changes in the composition of fatty acids in the cell, as well as the time course of these changes, indicate both the mechanism of damage and new therapeutic possibilities. A therapeutic approach to reperfusion lipotoxicity involves attenuation of fatty acids overload, i.e., their transport to adipose tissue and/or inhibition of the adverse effects of fatty acids on cell damage and death. The latter option involves using PPAR agonists and drugs that modulate the transport of fatty acids via carnitine into the interior of the mitochondria or the redirection of long-chain fatty acids to peroxisomes

Genetic Algorithm to Evolve Ensembles of Rules for On-Line Scheduling on Single Machine with Variable Capacity

International Work-Conference on the Interplay Between Natural and Artificial Computation, IWINAC (8th . 2019. Almería, Spain

Analiza tkanin drukowanych dla wojskowych ubiorów maskujących

Several basic properties of fabrics for camouflage clothing and protection for military purposes are described. The physical and mechanical properties of the yarns and fabrics and their physiological properties with different structural parameters of fabrics were tested. The structural fabric parameters and after-treatment conditions affect the physical-mechanical and physiological properties of the fabrics. The correlation values of individual parameters are relatively high. The influence of abrasion on colour shades applied to camouflage fabrics is different, indicating a different resistance to the colour fastness of the fabrics.Opisano szereg właściwości istotnych dla tkanin maskujących. Sprawdzono właściwości mechaniczne, fizyczne i fizjologiczne wybranych tkanin. Analizowano również wpływ użytkowania na badane parametry. Wartości korelacji poszczególnych parametrów są stosunkowo bardzo wysokie. Testy ścieralności wykazały wyraźny wpływ na kolor i trwałość zabarwienia

Pulmonary valve papillary fibroelastoma diagnosed by echocardiography: a case report

Papillary fibroelastomas (PFEs) are rare cardiac valve tumours with reported incidence of <0.03% according to autopsy studies. Among them, pulmonary valve PFEs are extremely rare. With wider use of echocardiography, they are being increasingly recognized premortem. We describe a case of a 32-year-old Caucasian woman with PFE of pulmonic valve diagnosed by echocardiography. The patient underwent surgery due to high mobility of the tumour and high risk of embolic complications. The surgery was done with complete tumour resection and total preservation of valve function. This case report discusses diagnostics of PFEs, their characteristic echocardiographic and histological features, and possible complications and suggests treatment options in this rare cardiac tumour

New links between protein biosynthesis and nonribosomal peptide synthesis

Hybrid glass–carbon 2D braided composites with varying carbon contents are impacted using a gas gun by impactors of masses 12.5 and 44.5 g, at impact energies up to 50 J. The damage area detected by ultrasound C-scan is found to increase roughly linearly with impact energy, and is larger for the lighter impactor at the same impact energy. The area of whitening of the glass tows on the distal side corresponds with the measured C-scan damage area. X-ray imaging shows more intense damage, at the same impact energy, for a higher-mass impactor. Braids with more glass content have a modest increase in density, decrease in modulus, and reduction in the C-scan area and dent depth at the impact site, particularly at the higher impact energies. Impact damage is found to reduce significantly the compressive strength, giving up to a 26% reduction at the maximum impact energ

Structure of the unusual seryl-tRNA synthetase reveals a distinct zinc-dependent mode of substrate recognition.

Methanogenic archaea possess unusual seryl-tRNA synthetase (SerRS), evolutionarily distinct from the SerRSs found in other archaea, eucaryotes and bacteria. The two types of SerRSs show only minimal sequence similarity, primarily within class II conserved motifs 1, 2 and 3. Here, we report a 2.5 A resolution crystal structure of the atypical methanogenic Methanosarcina barkeri SerRS and its complexes with ATP, serine and the nonhydrolysable seryl-adenylate analogue 5'-O-(N-serylsulfamoyl)adenosine. The structures reveal two idiosyncratic features of methanogenic SerRSs: a novel N-terminal tRNA-binding domain and an active site zinc ion. The tetra-coordinated Zn2+ ion is bound to three conserved protein ligands (Cys306, Glu355 and Cys461) and binds the amino group of the serine substrate. The absolute requirement of the metal ion for enzymatic activity was confirmed by mutational analysis of the direct zinc ion ligands. This zinc-dependent serine recognition mechanism differs fundamentally from the one employed by the bacterial-type SerRSs. Consequently, SerRS represents the only known aminoacyl-tRNA synthetase system that evolved two distinct mechanisms for the recognition of the same amino-acid substrate

A Hybrid Genetic Programming Algorithm for Automated Design of Dispatching Rules

© 2018 Massachusetts Institute of Technology. Designing effective dispatching rules for production systems is a difficult and timeconsuming task if it is done manually. In the last decade, the growth of computing power, advanced machine learning, and optimisation techniques has made the automated design of dispatching rules possible and automatically discovered rules are competitive or outperform existing rules developed by researchers. Genetic programming is one of the most popular approaches to discovering dispatching rules in the literature, especially for complex production systems. However, the large heuristic search space may restrict genetic programming from finding near optimal dispatching rules. This article develops a new hybrid genetic programming algorithm for dynamic job shop scheduling based on a new representation, a new local search heuristic, and efficient fitness evaluators. Experiments show that the new method is effective regarding the quality of evolved rules. Moreover, evolved rules are also significantly smaller and contain more relevant attributes

Guided Subtree Selection for Genetic Operators in Genetic Programming for Dynamic Flexible Job Shop Scheduling

© 2020, Springer Nature Switzerland AG. Dynamic flexible job shop scheduling (DFJSS) has been widely studied in both academia and industry. Both machine assignment and operation sequencing decisions need to be made simultaneously as an operation can be processed by a set of machines in DFJSS. Using scheduling heuristics to solve the DFJSS problems becomes an effective way due to its efficiency and simplicity. Genetic programming (GP) has been successfully applied to evolve scheduling heuristics for job shop scheduling automatically. However, the subtrees of the selected parents are randomly chosen in traditional GP for crossover and mutation, which may not be sufficiently effective, especially in a huge search space. This paper proposes new strategies to guide the subtree selection rather than picking them randomly. To be specific, the occurrences of features are used to measure the importance of each subtree of the selected parents. The probability to select a subtree is based on its importance and the type of genetic operators. This paper examines the proposed algorithm on six DFJSS scenarios. The results show that the proposed GP algorithm with the guided subtree selection for crossover can converge faster and achieve significantly better performance than its counterpart in half of the scenarios while no worse in all other scenarios without increasing the computational time