Data Augmentation for Time-Series Classification: An Extensive Empirical Study and Comprehensive Survey

Data Augmentation (DA) has emerged as an indispensable strategy in Time Series Classification (TSC), primarily due to its capacity to amplify training samples, thereby bolstering model robustness, diversifying datasets, and curtailing overfitting. However, the current landscape of DA in TSC is plagued with fragmented literature reviews, nebulous methodological taxonomies, inadequate evaluative measures, and a dearth of accessible, user-oriented tools. In light of these challenges, this study embarks on an exhaustive dissection of DA methodologies within the TSC realm. Our initial approach involved an extensive literature review spanning a decade, revealing that contemporary surveys scarcely capture the breadth of advancements in DA for TSC, prompting us to meticulously analyze over 100 scholarly articles to distill more than 60 unique DA techniques. This rigorous analysis precipitated the formulation of a novel taxonomy, purpose-built for the intricacies of DA in TSC, categorizing techniques into five principal echelons: Transformation-Based, Pattern-Based, Generative, Decomposition-Based, and Automated Data Augmentation. Our taxonomy promises to serve as a robust navigational aid for scholars, offering clarity and direction in method selection. Addressing the conspicuous absence of holistic evaluations for prevalent DA techniques, we executed an all-encompassing empirical assessment, wherein upwards of 15 DA strategies were subjected to scrutiny across 8 UCR time-series datasets, employing ResNet and a multi-faceted evaluation paradigm encompassing Accuracy, Method Ranking, and Residual Analysis, yielding a benchmark accuracy of 88.94 +- 11.83%. Our investigation underscored the inconsistent efficacies of DA techniques, with..

Developments in Fatty Acid-Derived Insect Pheromone Production Using Engineered Yeasts

The use of traditional chemical insecticides for pest control often leads to environmental pollution and a decrease in biodiversity. Recently, insect sex pheromones were applied for sustainable biocontrol of pests in fields, due to their limited adverse impacts on biodiversity and food safety compared to that of other conventional insecticides. However, the structures of insect pheromones are complex, and their chemical synthesis is not commercially feasible. As yeasts have been widely used for fatty acid-derived pheromone production in the past few years, using engineered yeasts may be promising and sustainable for the low-cost production of fatty acid-derived pheromones. The primary fatty acids produced by Saccharomyces cerevisiae and other yeasts are C16 and C18, and it is also possible to rewire/reprogram the metabolic flux for other fatty acids or fatty acid derivatives. This review summarizes the fatty acid biosynthetic pathway in S. cerevisiae and recent progress in yeast engineering in terms of metabolic engineering and synthetic biology strategies to produce insect pheromones. In the future, insect pheromones produced by yeasts might provide an eco-friendly pest control method in agricultural fields

Browning of Pig White Preadipocytes by Co-Overexpressing Pig PGC-1α and Mice UCP1

Background/Aims: Brown adipose tissue (BAT) is critical for mammals’ survival in the cold environment. BAT-dependent non-shivering thermogenesis is attributed to uncoupling protein 1 (UCP1)’s disengagement of oxidative phosphorylation from ATP synthesis and dissipates energy as heat. Thus individuals with a substantial amount of BAT are better equipped during cold stress and less likely to become obese. Recently, our laboratory has shown pig adipocytes have no UCP1 protein. The inability of newborn piglets to generate heat contributed to its high death rate. Repairing the genetic defect of UCP1 in pig adipocytes has implications in defending against cold for piglets and developing an alternative treatment for human obesity. Methods: Q-PCR, western blotting (WB) and oxygen consumption measurement were used to enable functional UCP1 protein in preadipocytes. Immunoprecipitation (IP), chromatin immunoprecipitation (CHIP), and dual-luciferase reporter assay system were used to clarify the thermogenesis mechanism of functional UCP1. Results: Only co-overexpressing mice UCP1 and pig PGC-1α increased not only the mitochondrial number but also the uncoupled respiration rate in the transfected pig adipocytes. The functional mice UCP1 increased the pig PGC-1α activity through the AMPK-SIRT1 pathway. The active form PGC-1α interacted with transcription factors Lhx8, Zic1, ERRα, and PPARα to regulate the expression of mitochondrial energy metabolism and adipocytes browning-related genes. Conclusion: Our data suggest a model in which pig PGC-1α and mice UCP1 work collaboratively to restore uncoupling respiration in pig preadipocytes. These results have great implications for piglet survival and developing an alternative treatment for human obesity in the future

Spectral broadening effects in optical communication networks : impact and security issue

The impact of spectral broadening effects on the performance of nonlinear compensation applied to both modern dispersion-unmanaged and legacy dispersion-managed optical communication systems has been analysed and quantified. It is found that including the full broadened spectrum at the receiver enables a substantial improvement in the performance of nonlinear compensation

Amplifier limited information rates in high-speed optical fiber communication systems

Due to the high transmission capacity, optical fiber systems have been widely applied in the modern telecommunication infrastructure to meet the ever-increasing demand of data traffic. Optical amplifiers have been employed to amplify optical signals and to compensate for the transmission losses. They play a key role in relaying the signals in ultra-wideband optical fiber communication systems. However, the amplified spontaneous emission (ASE) noise will be introduced and will pose constraints on the transmission information rates. The mutual information (MI) and the generalized mutual information (GMI) have been applied to evaluate the information rates in communication systems. In this work, we have investigated the impact of ASE noise on the MI and the GMI, and developed corresponding analyses across different modulation formats. Our work aims to explore the limit and requirements on optical amplifiers in next-generation ultra-wideband optical fiber communication systems

Role of Alkaline-Earth Metal-Catalyst: A Theoretical Study of Pyridines Hydroboration

Density functional theory (DFT) calculations have been performed to investigate the mechanism of alkaline-earth-metal-catalyzed hydroboration of pyridines with borane. In this reaction, the active catalytic species is considered to be an alkaline earth metal hydride complex when the corresponding alkaline earth metal is used as the catalyst. The theoretical results reveal that initiation of the catalytic cycle is hydride transfer to generate a magnesium hydride complex when β-diimine alkylmagnesium is used as a pre-catalyst. The magnesium hydride complex can undergo coordination of the pyridine reactant followed by hydride transfer to form a dearomatized magnesium pyridine intermediate. Coordination of borane and hydride transfer from borohydride to magnesium then give the hydroboration product and regenerate the active magnesium hydride catalyst. The rate-determining step of the catalytic cycle is hydride transfer to pyridine with a free energy barrier of 29.7 kcal/mol. Other alkaline earth metal complexes, including calcium and strontium complexes, were also considered. The DFT calculations show that the corresponding activation free energies for the rate-determining step of this reaction with calcium and strontium catalysts are much lower than with the magnesium catalyst. Therefore, calcium and strontium complexes can be used as the catalyst for the reaction, which could allow mild reaction conditions