Miracle-dz/UniFAR-FTUs huggingface dataset:
The chitoblose-binding protein, DasA, acts as a link between chitin utilization and morphogenesis in Streptomyces coelicolor

Streptomycetes are mycelial soil bacteria that undergo a developmental programme that leads to sporulating aerial hyphae. As soil-dwelling bacteria, streptomycetes rely primarily on natural polymers such as cellulose, xylan and chitin for the colonization of their environmental niche and therefore these polysaccharides may play a critical role in monitoring the global nutritional status of the environment. In this work we analysed the role of DasA, the sugar-binding component of the chitobiose ATP-binding cassette transport system, in informing the cell of environmental conditions, and its role in the onset of development and in ensuring correct sporulation. The chromosomal interruption of dasA resulted in a carbon-source-dependent vegetative arrest phenotype, and we identified a second DasR-dependent sugar transporter, in addition to the N -acetylglucosamine phosphotransferase system (PTS GlcNAc ), that relates primary metabolism to development. Under conditions that allowed sporulation, highly aberrant spores with many prematurely produced germ tubes were observed. While GlcNAc locks streptomycetes in the vegetative state, a high extracellular concentration of the GlcNAc polymer chitin has no effect on development. The striking distinction is due to a difference in the transporters responsible for the import of GlcNAc, which enters via the PTS, and of chitin, which enters as the hydrolytic product chitobiose (GlcNAc 2 ) through the DasABC transporter. A model explaining the role of these two essentially different transport systems in the control of development is provided.
HIERARCHICAL ATTENTION NETWORK -ATTENTION BASED BIDIRECTIONAL CNN-RNN DEEP MODEL BASED QUESTION ANSWERING SYSTEM USING ABSTRACTIVE SUMMARIZATION

Summarization aids to minimize document size while processing the meaning amidst Natural Language Processing. Summarization models based on precise sentences are adapted as they occur in inventive text and new sentences are produced with NLP models which are classified as extractive and abstractive models respectively. The complication that lies with NLP text made the abstractive summarization a complex process. An effective model is developed for abstractive summarization with a question answering system using ensemble classifiers. Review data is considered for BERT tokenization, Aspect Term extraction (ATE)is utilized to obtain aspects from review data. The sentiment rating is predicted using ensemble classifiers and fused with the majority voting model. The abstractive summarization is done using HAN-ABCDM which involves with training and testing stages. In the training stage, HAN and ABCDM are trained with summarized text, question answer pairs and sentiment ratings obtained using the majority voting method. In testing phase, the trained HAN and ABCDM are adapted to retrieve predicted answers. Considering the question answering model, the proposed HAN-ABCDM QAS offered highest valued precision of 82.1%, recall of 95.7%, and F-measure of 93.9% compared to other existing methods.
A Design Model for Lifelong Learning Networks Lifelong Learning Networks a Uol Typically Contains a Learning Design and Learning Resources. the Learning

The provision of lifelong learning facilities is considered to be a major new direction for higher and distance teaching educational institutes catering for the demands of industry and society. ICT networks will in future support seamless, ubiquitous access to lifelong learning facilities at home, at work, in schools and universities. This implies the development of new ways of organizing learning delivery that that goes beyond course and programme-centric models. It envisions a learner-centred, learner-controlled model of distributed lifelong learning. We present a conceptual model for the support of lifelong learning which is based on notions from self-organization theory, learning communities, agent technologies and learning technology specifications such as IMS Learning Design. An exploratory implementation has been developed and used in practice. We reflect on the findings and future directions. Both higher and distance education are currently exploring the new possibilities offered by eLearning. Today we find new, collaborative initiatives such as virtual universities, consortia and digital universities, which aspire to share learning resources, increase the quantity and quality of educational services, and explore new markets, particularly in the field The underlying idea is that 'lifelong learning' will ultimately provide a major service catering for the needs and demands of industry and society as a whole Schuetze, 2000). Lifelong learning is the concept that refers to the activities a person performs throughout their life to improve their knowledge, skills and competence in a particular field, given some personal, societal or employment related motives To achieve these aims, educational institutions must offer facilities that meet the needs of learners at various levels of competence throughout their lives. People must be able to use lifelong learning facilities to upgrade their knowledge, skills and competence in a discipline as required. They can also contribute to the facilities by sharing knowledge and supporting other learners. Lifelong learners are not merely consumers of learning facilities, but can be asked to actively contribute to the facilities themselves (Fischer & Ostwald, 2002). A promising approach to lifelong learning is to use ICT networks to connect distributed learners and providers in a discipline to establish Learning Networks (LNs). ICT networks can support seamless, ubiquitous access to learning facilities at work, at home and in schools and universities. Learning resources from providers such as schools, companies, libraries and the learners themselves can be made available from a single point of access and learners can be helped to perform certain tasks …
AN OUTBREAK OF ESCHERICHIA COLI O157:H7 ASSOCIATED WITH A CHILDREN’S WATER SPRAY PARK AND IDENTIFIED BY TWO ROUNDS OF PULSED-FIELD GEL

In July 2004 an unusually high number of Escherichia coli O157:H7 infections were reported in British Columbia (B.C.), many of which were in the Interior of the province. By early August, regional health authorities and the BC Centre for Disease Control (BCCDC) were actively investigating several clusters of E. coli O157:H7. One cluster was linked to a nationally distributed beef product and involved cases identified by a unique pulsed-field gel electrophoresis (PFGE) pattern.
Predicting Chess Opening Through Modelling Of Chess Opponents

: A chess opening is the preliminary stage of a chess game which typically consists of moves from formerly analysed openings. Opening strategy plays a crucial role in the entire game and decides the destiny of the middlegame and endgame. Here in this article, we attempted to introduce a method to predict the opening moves of a specific opponent. The technique analyses the past games played by a specific player to discover the most probable opening that the player is going to play in the subsequent games. The overall performance of this method is analysed and demonstrated by taking several factors such as transience, average turn and opponent’s response in a given situation into consideration. This comparative study enables us to acquire the knowledge about the opening preferences of an opponent, which gives a strategic advantage to a chess player and helps them to develop a game strategy from the beginning of the game. In this article, we attempted to give an overview of how to predict the most favoured opening of a player and how we can utilise it for our benefit [10] .
SOFTWARE/HARDWARE TASK MIGRATION BASED ON A CHECKPOINT FOR MULTIPROCESSORS EMBEDDED SYSTEMS

Traditionally, the decision of implemented particular task in hardware or as software program running is typically taken at design time. This partitioning is static which has huge effect to the performance of a system. In the related work on Hardware/Software Co-design, the Hw/Sw partitioning problem is solved offline by mapping each task to dedicated core (Hard or Soft) with respect to certain objectives such that throughput, power consumption. But at now days and with the introduction of reconfiguration at runtime, the Software/Hardware partitioning problem can be solved online, thus, taking advantage of Hardware high performance and Software flexibility with the lowest possible costs. In this context, our approach focuses on these objectives. However, for a wide range of embedded application, the cohabiting software flexibility and hardware speed is a key feature to provide performing and flexible embedded systems. While in this system exit some tasks that are appropriate for a software program running on a processor and other tasks that might have highly throughput requirements that can be executed by dedicated hardware modules.
PERFORMANCE ANALYSIS OF OBJECT DETECTION MODELS FOR VEHICLE-RELATED IMAGE SERVICES

Object detection is an actively researched field of computer vision, and notable research outcomes have been presented through an integration with deep learning. However, most previous studies on object detection have focused on evaluating the object detection performance for multiple classes. To a practical extent, such detection contrasts with how the type of classification required for object detection models is limited to a few numbers of classes. For example, the object detection classes required for autonomous vehicles or in vehicle detection services are limited to small specific classes, such as vehicles, persons, and road signs. In other words, the need has arisen to confirm which model exhibits an excellent performance for a small, specialized class such as vehicle object detection. Therefore, we evaluate representative object detection models to identify which models is more appropriate for vehicle object detection services. The results show that CenterNet [9] achieves the best performance for vehicle object detection during autonomous driving and for CCTV use among the three models, followed by YOLOv4 [7] and SSD [8].
NO-REFERENCE QUALITY ASSESSMENT OF MEDICAL IMAGES USING CONTRAST ENHANCEMENT

Contrast distortion is often a determining factor in human perception of image quality, but little investigation has been dedicated to quality assessment of contrast-distorted images without assuming the availability of a perfect-quality reference image. In many real-world applications, images are prone to be degraded by contrast distortions during image acquisition. Quality assessment for contrast-distorted images is vital for benchmarking and optimizing the contrast-enhancement algorithms. Visual study of medical images is essential for the diagnosis of many diseases. Various contrast enhancement methods such as histogram equalization, histogram modification methods, gamma correction, etc. are used to improve the contrast of medical images. Image quality evaluation is an integral part of the contrast enhancement and image enhancement processes. Quantitative measures of digital image quality make it possible to compare the applied processing methods and choose the best of them. The article studied methods for improving the quality of x-rays. The research was carried out in several stages. Attempts were made to increase the contrast of several tens of X-ray images in order to select the best image brightness using brightness transformation methods in the MATLAB system. Contrast improvement is supported by objective scores calculated by the NIQE and BRISQUE functions that do not require reference images. As a result of successive experiments, recommendations were proposed for selecting the parameters of the gamma correction method and the adaptive histogram equalization method, where contrast enhancement is limited in order to avoid the appearance or enhancement of noise in the image. The experiment is based on the algorithms of objective non-reference quality assessment NIQE and BRISQUE. A feature of this work is the use of objective non-reference estimates to determine the quality of images. The performed experiments allow to give preference to the NIQE assessment, since it corresponded to the results of image contrast enhancement
Impact Of Behavioral Antecedents On Supply Chain Performance: Intervening Effect Of Knowledge Sharing And Internal Integration

In the present modern age of business, where market demand has changed rapidly, the supply chains need to develop unique capabilities to compete. Supply chains should be integrated to allow fast information sharing among the supply chain members. For this, individual participants of the supply chains (along with the firms) are critical. Supply chains can gain a competitive edge by considering employee intentions toward integrating behaviors (the behavioral antecedents). The efficient work performed by each individual in the supply chain would ultimately improve the internal integration and the performance of the whole supply chain. This study considers a model relating behavioral antecedents to the supply chain performance based on 200 managers working in Pakistani firms. Our results provide significant support showing that behavioral antecedents and internal integration positively impact the supply chain performance. This study also provides empirical evidence that knowledge sharing does not moderate the relationship between behavioral antecedents and internal integration. It points to the fact that managers in developing countries are reluctant to share their skills with others and provide an opportunity to train employees to work for supply chain goals.
Calculation and Analysis of Longshore Sediment Transport Rate of Shijiu Bay

Longshore sediment transport rate of Shijiu Bay is calculated with the formula of Seaport Hydrology Criterion and the CERC formula of Shore Protection Manual. The net volume silt discharge rate is about 11×104～15×104m3/a (South to North direction) in the south bay while about 1x104m3/a (North to South direction) in the middle bay. Both factors result in siltation in the middle bay, which accords with practical circumstances. The calculated value by criterion is less than that by CERC formula and the ratio of them ranges from 1 to 0.5, which decreases with the increase of wave height. 
Unraveling the biological potential of chicken viscera proteins: a study based on their enzymatic hydrolysis to obtain antioxidant peptides

The production of chicken meat has been growing over the years, with a proportional increase in waste generation. Since it is a residue rich in protein, hydrolysis through proteases can provide technological and biological improvements in this substrate offering new opportunities for exploration by the industries. Therefore, this work aimed to study the enzymatic hydrolysis of proteins from chicken viscera and to characterize the hydrolysates in terms of their antioxidant properties and molecular weight distribution. Additionally, hydrolysate production was scaled-up from 125 mL �asks with 50 mL of protein solution to 3 L using a 6 L bioreactor. The enzymatic hydrolysis of chicken viscera proteins using a binary mixture of proteases (Alcalase™ 2.4L and Flavourzyme™ 500L) resulted in an increase of up to 245% for ABTS, 353% for DPPH, 69% for FRAP and 145.95% for total reducing capacity (TRC). The antioxidant properties of the protein hydrolysates are preserved during the scale up of enzymatic hydrolysis. Protein fractions smaller than 5 kDa showed the highest ABTS and DPPH radical scavenging activities, while fractions with molecular weights greater than 30 kDa showed the best results for the FRAP method. Enzymatic hydrolysis proved to be an e�cient strategy to add value to solid wastes from the poultry industry.
WAR webserver for aligning structural RNAs

We present an easy-to-use webserver that makes it possible to simultaneously use a number of state of the art methods for performing multiple alignment and secondary structure prediction for noncoding RNA sequences. This makes it possible to use the programs without having to download the code and get the programs to run. The results of all the programs are presented on a webpage and can easily be downloaded for further analysis. Additional measures are calculated for each program to make it easier to judge the individual predictions, and a consensus prediction taking all the programs into account is also calculated. This website is free and open to all users and there is no login requirement. The webserver can be found at: http://genome. ku.dk/resources/war.
Association of genetic variants of the histamine H1 and muscarinic M3 receptors with BMI and HbA1c values in patients on antipsychotic medication

Rationale Antipsychotic affinity for the histamine H1 receptor and the muscarinic M3 receptor have been associated with the side effects weight gain, and development of diabetes, respectively. Objectives We investigated polymorphisms of the histamine H1 ( HRH1 ) and muscarinic acetylcholine receptor M3 ( CHRM3 ) receptor genes for an association with body mass index (BMI) and glycated hemoglobin (HbA1c). Methods We included 430 Caucasian patients with a non-affective psychotic disorder using antipsychotics for at least 3 months. Primary endpoints of the study were cross-sectionally measured BMI and HbA1c; secondary endpoints were obesity and hyperglycaemia. Two single-nucleotide polymorphisms (SNPs) in the HRH1 gene, rs346074 and rs346070, and one SNP in the CHRM3 gene, rs3738435, were genotyped. Our primary hypothesis in this study was an interaction between genotype on BMI and antipsychotic affinity for the H1 and M3 receptor. Results A significant of interaction between haplotype rs346074 rs346070 and BMI ( p value 0.025) and obesity ( p value 0.005) in patients using high-H1 affinity antipsychotics versus patients using low-H1 affinity antipsychotics found. There was no association of CHRM3 gene variant rs3738435 with BMI, and we observed no association with HbA1c or hyperglycaemia in any of the variants. Conclusions This study, for the first time, demonstrates a significant association between HRH1 variants and BMI in patients with a psychotic disorder using antipsychotics. In future, genotyping of HRH1 variants may help predicting weight gain in patients using antipsychotics.
Dynamic Generation and Reﬁnement of Robot Verbalization

—With a growing number of robots performing autonomously without human intervention, it is difﬁcult to understand what the robots experience along their routes during execution without looking at execution logs. Rather than looking through logs, our goal is for robots to respond to queries in natural language about what they experience and what routes they have chosen. We propose verbalization as the process of converting route experiences into natural language, and highlight the importance of varying verbalizations based on user preferences. We present our verbalization space representing different dimensions that verbalizations can be varied, and our algorithm for automatically generating them on our CoBot robot. Then we present our study of how users can request different verbalizations in dialog. Using the study data, we learn a language model to map user dialog to the verbalization space. Finally, we demonstrate the use of the learned model within a dialog system in order for any user to request information about CoBot’s route experience at varying levels of detail.
Reliability of Regional Climate Model Trends Reliability of Regional Climate Model Trends

A necessary condition for a good probabilistic forecast is that the forecast system is shown to be reliable: forecast probabilities should equal observed probabilities verified over a large number of cases. As climate change trends are now emerging from the natural variability, we can apply this concept to climate predictions and compute the reliability of simulated local and regional temperature and precipitation trends (1950–2011) in a recent multi-model ensemble of climate model simulations prepared for the Intergovernmental Panel on Climate Change (IPCC) fifth assessment report (AR5). With only a single verification time, the verification is over the spatial dimension. The local temperature trends appear to be reliable. However, when the global mean climate response is factored out, the ensemble is overconfident: the observed trend is outside the range of modelled trends in many more regions than would be expected by the model estimate of natural variability and model spread. Precipitation trends are overconfident for all trend definitions. This implies that for near-term local climate forecasts the CMIP5 ensemble cannot simply be used as a reliable probabilistic forecast.
Evaluating the potential influence of inter-continental transport of sulfate aerosols on air quality

In this study, we compare the potential influence of inter-continental transport of sulfate aerosols on the air quality of continental regions. We use a global chemical transport model, Model of Ozone and Related Tracers, version 2 (MOZART-2), to quantify the source-receptor relationships of inter-continental transport of sulfate aerosols among ten regions in 2000. In order to compare the importance of foreign emissions relative to domestic emissions and estimate the effect of future changes in emissions on human exposure, we define an “influence potential” (IP). The IP quantifies the human exposure that occurs in a receptor region as a result of a unit of SO2 emissions from a source region. We find that due to the non-linear nature of sulfate production, regions with low SO2 emissions usually have large domestic IP, and vice versa. An exception is East Asia (EA), which has both high SO2 emissions and relatively large domestic IP, mostly caused by the spatial coincidence of emissions and population. We find that intercontinental IPs are usually less than domestic IPs by 1-3 orders of magnitude. SO2 emissions from the Middle East (ME) and Europe (EU) have the largest potential to influence populations in surrounding regions. By comparing the IP ratios (IPR) between foreign and domestic SO2 emissions, we find that the IPR values range from 0.00001 to 0.16 and change with season. Therefore, if reducing human exposure to sulfate aerosols is the objective, all regions should first focus on reducing domestic SO2 emissions. In addition, we find that relatively high IPR values exist among the EU, ME, the former Soviet Union (FSU) and African (AF) regions. Therefore, based on the IP and IPR values, we conclude that a regional agreement among EA countries, and an inter-regional