1,867 research outputs found
An endoglucanase, GsCelA, from Geobacilus sp. undergoes an intriguing self- truncation process for enhancing activity and thermostability
An endoglucanase, GsCelA, was isolated and cloned from a thermophilic Geobacillus sp. 70PC53 grown in a rice straw compost in southern Taiwan. It was observed that highly purified GsCelA was able to self-truncate, removing a segment of 53 amino acid residues from its C-terminus. The purified GsCelA does not possess any protease activity and this self-truncation process is insensitive to standard protease inhibitors except EDTA and EGTA. This unique self-truncation process takes place at a temperature higher than 10C with an optimal pH between 6-7, and can be further enhanced with certain divalent ions such as Ca+2 and Mg+2. Crystal structure of GsCelA has a typical TIM-barrel configuration with 8 alpha-helices and 8 beta-strands, but with the presence of a divalent ion. Mutations of amino acids residues surrounding this metal ion do not affect the self-truncation process, but some of these mutants have enhanced enzymatic activities. Mutation of the cleavage site between K315 and G316 does not affect the self-truncation process. However, a deletion of ten amino acids near the cleavage site, i.e. from amino acid 310 to 320, slows down the truncation process but does not block it, and a truncated form around 315 amino acids in length eventually appears. This intriguing observation indicates that the self-truncation process is not site specific, but capable of measuring 315 amino acids from the N-terminus as the cleavage site. This self-truncation process also occurs in the native host of this enzyme, Geobacillus sp. 70PC53, with almost all secreted form of this enzyme being self-truncated. The 53 amino-acid-long C-terminal segment removed by this self-truncation process has binding affinity toward both crystal and amorphous cellulose as well as the s cell walls, yet its sequence bears no apparent homology to any known carbohydrate binding motifs. Various other mutation analyses and the structure-based recombination process, SCHEMA, have been carried out, and both the activity and thermostabilty of this enzyme are further improved. The truncated and improved GsCelA has almost twice the activity as the un-truncated form, and its thermostability is also further enhanced with T50 reaching 86C and TA50 higher than 100C, making this enzyme extremely useful in industrial processes carried out at high temperatures, such as the pre-treatment of cellulosic animal feeds during the final drying step.
This research was supported by grants from Taiwan Ministry of Science and Technology and from Academia Sinica
(E)-2-(4-DiethylÂamino-2-hydroxyÂbenzylÂideneÂamino)benzonitrile
The molÂecule of the title compound, C18H19N3O, displays a trans configuration with respect to the C=N double bond. The dihedral angle between the planes of the two benzene rings is 2.62 (11)°. A strong intraÂmolecular O—H⋯N hydrogen bond stabilizes the molÂecular conformation
Enhancement of activity and thermostability of a Geobacillus endoglucanase via a unique self-truncation process
The complete utilization of lignocellulosic biomass requires the hydrolysis of cellulose fibers via the synergistic action of three enzymes: exoglucanase, endoglucanase and beta-glucosidase. GsCelA is a 368-amino-acid endoglucanase secreted from a thermophilic Geobacillus sp. 70PC53 that was isolated form a rice straw compost in south Taiwan. GsCelA belongs to the glycosyl hydrolase family 5 and has a typical TIM barrel structure. This enzyme has excellent lignocellulolytic activity and high thermostability, with optimal temperature at 60℃ and pH at 5.0. The purified GsCelA is capable of carrying out a unique self-truncation process at temperature higher than 10 ℃ with optimal pH at 6-7. This self-truncation process is not due to the action of contaminating proteases and it can be suppressed by EDTA and EGTA, and enhanced by divalent metal ions. This self-truncation process also takes place in vivo in Geobacillus sp. 70PC53. The spontaneous or engineered C-terminal truncation up to 60 amino acids from the C-terminus improves GsCelA specific activity and renders the enzyme more thermostable. To investigate the importance of specific amino acids on the enzymatic activity of GsCelA, site-directed mutagenesis and protein engineering approach were employed to alter amino acid residues unique to this enzyme. It was demonstrated that point mutations Y195T , D55S, G288T and D289L replacements increase the activity of this enzyme by 30%
Diffusion-Based Speech Enhancement in Matched and Mismatched Conditions Using a Heun-Based Sampler
Diffusion models are a new class of generative models that have recently been
applied to speech enhancement successfully. Previous works have demonstrated
their superior performance in mismatched conditions compared to state-of-the
art discriminative models. However, this was investigated with a single
database for training and another one for testing, which makes the results
highly dependent on the particular databases. Moreover, recent developments
from the image generation literature remain largely unexplored for speech
enhancement. These include several design aspects of diffusion models, such as
the noise schedule or the reverse sampler. In this work, we systematically
assess the generalization performance of a diffusion-based speech enhancement
model by using multiple speech, noise and binaural room impulse response (BRIR)
databases to simulate mismatched acoustic conditions. We also experiment with a
noise schedule and a sampler that have not been applied to speech enhancement
before. We show that the proposed system substantially benefits from using
multiple databases for training, and achieves superior performance compared to
state-of-the-art discriminative models in both matched and mismatched
conditions. We also show that a Heun-based sampler achieves superior
performance at a smaller computational cost compared to a sampler commonly used
for speech enhancement.Comment: Accepted to ICASSP 202
Rural tourism quality of services: fundamental contributive factors from tourists’ perceptions
Despite the importance of quality of services in the rural tourism sector, it is somewhat surprising that little study has been done to delve into the fundamental contributive factors that contribute to quality of services from the tourists’ perceptions. This is the first known study undertaken with a view to understand the fundamental contributive factors (i.e. climate change, carrying capacity, relaxation environment, and community support) from the environmental perspectives that link with quality of services in rural tourism destinations. A total of 400 questionnaires were distributed to the tourists who visited four study sites from Borneo Heights, Sarawak, and 215 were returned and used for analysis. To assess the developed model, SmartPLS 2.0 (M3) is applied based on path modelling and then bootstrapping. Interestingly, the findings revealed that tourists are more concerned about the changing of climate and relaxation environment at the destination. They also agreed that community support plays a significant role in the development of quality of services in the rural tourism. This study further discussed on the implications of the findings, limitations, and directions for future researc
Investigating the Design Space of Diffusion Models for Speech Enhancement
Diffusion models are a new class of generative models that have shown
outstanding performance in image generation literature. As a consequence,
studies have attempted to apply diffusion models to other tasks, such as speech
enhancement. A popular approach in adapting diffusion models to speech
enhancement consists in modelling a progressive transformation between the
clean and noisy speech signals. However, one popular diffusion model framework
previously laid in image generation literature did not account for such a
transformation towards the system input, which prevents from relating the
existing diffusion-based speech enhancement systems with the aforementioned
diffusion model framework. To address this, we extend this framework to account
for the progressive transformation between the clean and noisy speech signals.
This allows us to apply recent developments from image generation literature,
and to systematically investigate design aspects of diffusion models that
remain largely unexplored for speech enhancement, such as the neural network
preconditioning, the training loss weighting, the stochastic differential
equation (SDE), or the amount of stochasticity injected in the reverse process.
We show that the performance of previous diffusion-based speech enhancement
systems cannot be attributed to the progressive transformation between the
clean and noisy speech signals. Moreover, we show that a proper choice of
preconditioning, training loss weighting, SDE and sampler allows to outperform
a popular diffusion-based speech enhancement system in terms of perceptual
metrics while using fewer sampling steps, thus reducing the computational cost
by a factor of four
Language policy and governmentality in businesses in Wales:a continuum of empowerment and regulation
In this paper, I examine how language policy acts as a means of both empowering the Welsh language and theminority language worker and as a means of exerting power over them. For this purpose, the study focuses on a particular site: private sector businesses in Wales. Therein, I trace two major discursive processes: first, the Welsh Government’s national language policy documents that promote corporate bilingualism and bilingual employees as value-added resources; second, the practice and discourse of company managers who sustain or appropriate such promotional discourses for creating and promoting their own organisational values. By drawing on concepts from governmentality, critical language policy and discourse studies, I show that promoting bilingualism in business is characterised by local and global governmentalities. These not only bring about critical shifts in valuing language as symbolic entities attached to ethnonational concerns or as promotional objects that bring material gain. Language governmentalities also appear to shape new forms of ‘languaging’ the minority language worker as selfgoverning, and yet, governed subjects who are ultimately made responsible for ‘owning’ Welsh
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