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This review is the sequel to the 2000 report on the recent advances in the chemistry of odorants and it summarizes the developments in fragrance chemistry over the past 20 years. Following the olfactory spectrum set out in that report, trendsetting so-called captive odorants (patent-protected ingredients unavailable to the market) are presented according to the main odor families “fruity”, “marine”, “green”, “floral”, “spicy”, “woody”, “amber”, and “musky”. The design of odorants, their chemical synthesis, and their use in modern perfumery are illustrated with prominent examples. Also featured are new fruity odorants that provide signature in the top notes, as well as precursor technology. In the green domain, focus is on leafy notes and green pear. New benzodioxepines and benzodioxoles have modernized the marine family and required a revision of the existing olfactophore models. The replacement of Lilial and Lyral kept the industry busy in the floral domain with a plethora of new ‘muguets’. There was continued activity in the domain of rose odorants, especially in the area of rose ketones. Biotechnology became significant, for example, with Clearwood and Ambrofix, and the principal odorants of vetiver oil in the woody family have been found. Fourth and fifth families of musk odorants were also discovered and populated. Thus, new avenues for further explorations into fragrance chemistry have been opened.Metal-organic frameworks (MOFs) are a class of versatile materials for fabricating functional heterogeneous catalysts, but the most routine method is through carbonization to form porous carbon materials, which however inevitably losses their inherent MOFs characteristics. Herein, we developed a partially-controlled pyrolysis strategy to create evenly distributed NiO nanoparticles within NiFe-MOF nanosheets (MOF NSs) for electrochemical synthesis of hydrogen peroxide (H2O2) via two-electron oxygen reduction reaction (ORR). The elemental Ni can be partially transformed to NiO and uniformly distributed on the surface of the MOF NSs, which is crucial for the formation of the particular structure. The optimized MOF NSs-300 exhibits the highest activity for ORR with near-zero overpotential and excellent H2O2 selectivity (~99%) in 0.1 M KOH solution. High-yield H2O2 production rate of 6.5 mol gcat-1 h-1 has also been achieved by MOF NSs-300 at 0.1 M KOH and 0.6 V (vs.RHE). In contrast to completely pyrolyzed products, the enhanced catalytic activities of partially pyrolyzed MOF NSs-300 is mainly originated from the maintained MOF structure and the newly-generated NiO nanoparticles, forming the coordinatively unsaturated Ni atoms and tuning the performance towards electrochemical H2O2 synthesis.One of the challenging tasks in the medicinal field is genomic disorder investigation and its classification from the microarray dataset. The microarray dataset reorganization and its classification is more complex and expensive in the biomedical research area due to the larger number of features in the microarray dataset. In this paper, we construct a hybrid feature selection method such as T-test, Fisher ration, and Bayesian logistic regression to select genes and that reduce the time cost. Based on the features, the top-ranked features are selected via the best hybrid rank method. Thereafter, the features are extracted using the Modified Firefly Optimization-based Discriminant Independent Component Analysis (MF-DICA). Especially, the Modified Firefly Optimization algorithm is capable of improving the search efficiency of DICA. From the high dimensional microarray dataset, MF-DICA is used to obtain the best features within the entire search space. The Kernel Extreme Learning Machine (KELM) classifies the gene features depending upon the most relevant class. Experimentally, six datasets namely Leukemia dataset, Diffuse Larger B-cell Lymphomas, Lung cancer, Breast cancer, Prostate tumor, and Colon dataset are chosen to evaluate the performance of proposed approaches. Finally, the experimental data demonstrate that the proposed method is well suitable to classify the microarray data. Seliciclib chemical structure This article is protected by copyright. All rights reserved.Synthesis of silicon/carbon (Si/C) by biomass resources enables the effective utilization of agricultural products in battery industries because of economical as well as environmental considerations. Herein, a simplified process was developed to synthesize Si/C from biomass, using low-cost agricultural by-products “rice husk (RH)” as a model. This process includes the calcination of RH for SiO2/C and the reduction of SiO2/C by Al in molten salts at a moderate temperature. This process does not need the removal of carbon before the thermal reduction of SiO 2 , which is thought to be very necessary to avoid the formation of SiC at elevated temperatures. So carbon derived from biomass can be directly used for Si/C as the anode material. The resultant Si/C shows a high reversible capacity of 1309 mAh g -1 and long cycle life (300 cycles). Our research advocates a new and simplified strategy for the synthesis of RH-biomass-derived Si/C, which is beneficial for low-cost, environment-friendly and green energy storage applications.Temporomandibular joints (TMJs) constitute a pair of joints that connect the jawbone to the skull. TMJs are bilateral joints which work as one unit in conducting daily functions such as speaking, mastication, and other activities associated with the movement of the jaw. Issues associated with the TMJs may arise due to various factors-one such factor being the internal load on the TMJ. These issues may contribute to temporomandibular disorders (TMD). This study aims to evaluate the mandibular trajectories and the associated stress changes during the process of opening the mouth on the TMJs of an asymptomatic subject. The mouth opening motion was recorded by a motion capturing system using models of the mandible and maxilla constructed based on the computed tomography (CT). Two discs constructed based on magnetic resonance imaging (MRI). Finite element analysis was performed on the relative motion of the mandible to the maxilla and validated. The process modelled by these displacements provided less than 10% error in terms of deformation.